23.2.28 Wetlands, Wetland Detection, Analysis

Chapter Contents (Back)
Classification. Wetlands. Spartina alterniflora is marsh grass.
See also Floodplains, Riverside. Partly a subset:
See also Tidal Areas, Inter-Tidal, Coastal, Wetlands, Wetland Detection, Analysis.
See also Marsh, Marsh Detection, Analysis. Mangrove specific:
See also Mangrove Analysis, Swamps, Coasts, Trees.

Houhoulis, P.F.[Paula F.], Michener, W.K.[William K.],
Detecting Wetland Change: A Rule-Based Approach Using NWI and SPOT-XS Data,
PhEngRS(66), No. 2, February 2000, pp. 205-212. Mean modulus values, predominant land cover, and National Wetland Inventory (NWI) data. A rule-based system for changes. 0002
BibRef

Ramsey, III, E.[Elijah], Rangoonwala, A.[Amina],
Leaf Optical Property Changes Associated with the Occurrence of Spartina alterniflora Dieback in Coastal Louisiana Related to Remote Sensing Mapping,
PhEngRS(71), No. 3, March 2005, pp. 299-312.
WWW Link. 0509
Determining optimal reflectance bands for detecting march impact with hyperspectral leaf optical analysis. BibRef

Schmid, T., Koch, M., Gumuzzio, J.,
Multisensor approach to determine changes of wetland characteristics in semiarid environments (central Spain),
GeoRS(43), No. 11, November 2005, pp. 2516-2525.
IEEE DOI 0512
BibRef

Soliman, G.[Ghada], Soussa, H.[Hoda],
Wetland change detection in the Nile swamps of southern Sudan,
SPIE(Newsroom), November 15, 2011
DOI Link 1111
Monitoring changes in the Sudd wetland is complicated by remoteness and inaccessibility due to civil war. BibRef

Michishita, R.[Ryo], Jiang, Z.B.[Zhi-Ben], Gong, P.[Peng], Xu, B.[Bing],
Bi-scale analysis of multitemporal land cover fractions for wetland vegetation mapping,
PandRS(72), No. 1, August 2012, pp. 1-15.
Elsevier DOI 1209
Ecosystem; Environment; Land cover; Monitoring; Change detection; Multitemporal BibRef

Reschke, J., Bartsch, A., Schlaffer, S., Schepaschenko, D.,
Capability of C-Band SAR for Operational Wetland Monitoring at High Latitudes,
RS(4), No. 10, October 2012, pp. 2923-2943.
DOI Link 1210
BibRef

Zlinszky, A., Mücke, W., Lehner, H., Briese, C., Pfeifer, N.,
Categorizing Wetland Vegetation by Airborne Laser Scanning on Lake Balaton and Kis-Balaton, Hungary,
RS(4), No. 6, June 2012, pp. 1617-1650.
DOI Link 1208
BibRef

Kalacska, M.[Margaret], Arroyo-Mora, J.P.[J. Pablo], de Gea, J.[Julie], Snirer, E.[Eva], Herzog, C.[Carrie], Moore, T.R.[Tim R.],
Videographic Analysis of Eriophorum Vaginatum Spatial Coverage in an Ombotrophic Bog,
RS(5), No. 12, 2013, pp. 6501-6512.
DOI Link 1402
BibRef

Corcoran, J.M.[Jennifer M.], Knight, J.F.[Joseph F.], Gallant, A.L.[Alisa L.],
Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota,
RS(5), No. 7, 2013, pp. 3212-3238.
DOI Link 1308
BibRef

Gallant, A.L.[Alisa L.],
The Challenges of Remote Monitoring of Wetlands,
RS(7), No. 8, 2015, pp. 10938.
DOI Link 1509
BibRef

Jacob, A.L.[Aerin L.], Bonnell, T.R.[Tyler R.], Dowhaniuk, N.[Nicholas], Hartter, J.[Joel],
Topographic and spectral data resolve land cover misclassification to distinguish and monitor wetlands in western Uganda,
PandRS(94), No. 1, 2014, pp. 114-126.
Elsevier DOI 1407
Classification BibRef

Sang, H.Y.[Hui-Yong], Zhang, J.X.[Ji-Xian], Lin, H.[Hui], Zhai, L.[Liang],
Multi-Polarization ASAR Backscattering from Herbaceous Wetlands in Poyang Lake Region, China,
RS(6), No. 5, 2014, pp. 4621-4646.
DOI Link 1407
BibRef

Dabrowska-Zielinska, K.[Katarzyna], Budzynska, M.[Maria], Tomaszewska, M.A.[Monika A.], Bartold, M.[Maciej], Gatkowska, M.[Martyna], Malek, I.[Iwona], Turlej, K.[Konrad], Napiorkowska, M.[Milena],
Monitoring Wetlands Ecosystems Using ALOS PALSAR (L-Band, HV) Supplemented by Optical Data: A Case Study of Biebrza Wetlands in Northeast Poland,
RS(6), No. 2, 2014, pp. 1605-1633.
DOI Link 1403
BibRef

Quan, X.W.[Xing-Wen], He, B.B.[Bin-Bin], Wang, Y.[Yong], Tang, Z.[Zhi], Li, X.[Xing],
An Extended Fourier Approach to Improve the Retrieved Leaf Area Index (LAI) in a Time Series from an Alpine Wetland,
RS(6), No. 2, 2014, pp. 1171-1190.
DOI Link 1403
BibRef

Prospere, K.[Kurt], McLaren, K.[Kurt], Wilson, B.[Byron],
Plant Species Discrimination in a Tropical Wetland Using In Situ Hyperspectral Data,
RS(6), No. 9, 2014, pp. 8494-8523.
DOI Link 1410
BibRef

Cheruiyot, E.K.[Elijah K.], Mito, C.[Collins], Menenti, M.[Massimo], Gorte, B.[Ben], Koenders, R.[Roderik], Akdim, N.[Nadia],
Evaluating MERIS-Based Aquatic Vegetation Mapping in Lake Victoria,
RS(6), No. 8, 2014, pp. 7762-7782.
DOI Link 1410
BibRef

Flynn, K.F.[Kyle F.], Chapra, S.C.[Steven C.],
Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle,
RS(6), No. 12, 2014, pp. 12815-12836.
DOI Link 1412
BibRef

Lane, C.R.[Charles R.], Liu, H.X.[Hong-Xing], Autrey, B.C.[Bradley C.], Anenkhonov, O.A.[Oleg A.], Chepinoga, V.V.[Victor V.], Wu, Q.[Qiusheng],
Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach,
RS(6), No. 12, 2014, pp. 12187-12216.
DOI Link 1412
BibRef

Berhane, T.M.[Tedros M.], Lane, C.R.[Charles R.], Wu, Q.S.[Qiu-Sheng], Autrey, B.C.[Bradley C.], Anenkhonov, O.A.[Oleg A.], Chepinoga, V.V.[Victor V.], Liu, H.X.[Hong-Xing],
Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Corcoran, J.[Jennifer], Knight, J.[Joseph], Pelletier, K.[Keith], Rampi, L.[Lian], Wang, Y.[Yan],
The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands,
RS(7), No. 4, 2015, pp. 4002-4025.
DOI Link 1505
BibRef

Amler, E.[Esther], Schmidt, M.[Michael], Menz, G.[Gunter],
Definitions and Mapping of East African Wetlands: A Review,
RS(7), No. 5, 2015, pp. 5256-5282.
DOI Link 1506
BibRef

Dronova, I.[Iryna],
Object-Based Image Analysis in Wetland Research: A Review,
RS(7), No. 5, 2015, pp. 6380-6413.
DOI Link 1506
BibRef

White, L.[Lori], Brisco, B.[Brian], Dabboor, M.[Mohammed], Schmitt, A.[Andreas], Pratt, A.[Andrew],
A Collection of SAR Methodologies for Monitoring Wetlands,
RS(7), No. 6, 2015, pp. 7615.
DOI Link 1507
BibRef

Clewley, D.[Daniel], Whitcomb, J.[Jane], Moghaddam, M.[Mahta], McDonald, K.[Kyle], Chapman, B.[Bruce], Bunting, P.[Peter],
Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska,
RS(7), No. 6, 2015, pp. 7272.
DOI Link 1507
BibRef

Bourgeau-Chavez, L.[Laura], Endres, S.[Sarah], Battaglia, M.[Michael], Miller, M.E.[Mary Ellen], Banda, E.[Elizabeth], Laubach, Z.[Zachary], Higman, P.[Phyllis], Chow-Fraser, P.[Pat], Marcaccio, J.[James],
Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery,
RS(7), No. 7, 2015, pp. 8655.
DOI Link 1506
BibRef

Hong, S.H.[Sang-Hoon], Kim, H.O.[Hyun-Ok], Wdowinski, S.[Shimon], Feliciano, E.[Emanuelle],
Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types,
RS(7), No. 7, 2015, pp. 8563.
DOI Link 1506
BibRef

Betbeder, J.[Julie], Rapinel, S.[Sébastien], Corgne, S.[Samuel], Pottier, E.[Eric], Hubert-Moy, L.[Laurence],
TerraSAR-X dual-pol time-series for mapping of wetland vegetation,
PandRS(107), No. 1, 2015, pp. 90-98.
Elsevier DOI 1508
Wetlands BibRef

Liao, J.J.[Jing-Juan], Xu, T.[Tao], Shen, G.Z.[Guo-Zhuang],
Simulating Microwave Scattering for Wetland Vegetation in Poyang Lake, Southeast China, Using a Coherent Scattering Model,
RS(7), No. 8, 2015, pp. 9796.
DOI Link 1509
BibRef

Lin, W.P.[Wen-Peng], Chen, G.S.[Guang-Sheng], Guo, P.[Pupu], Zhu, W.Q.[Wen-Quan], Zhang, D.H.[Dong-Hai],
Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China,
RS(7), No. 8, 2015, pp. 10227.
DOI Link 1509
BibRef

Whiteside, T.G.[Timothy G.], Bartolo, R.E.[Renée E.],
Mapping Aquatic Vegetation in a Tropical Wetland Using High Spatial Resolution Multispectral Satellite Imagery,
RS(7), No. 9, 2015, pp. 11664.
DOI Link 1511
BibRef

Jones, J.W.[John W.],
Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network,
RS(7), No. 9, 2015, pp. 12503.
DOI Link 1511
BibRef

Mui, A.[Amy], He, Y.H.[Yu-Hong], Weng, Q.H.[Qi-Hao],
An object-based approach to delineate wetlands across landscapes of varied disturbance with high spatial resolution satellite imagery,
PandRS(109), No. 1, 2015, pp. 30-46.
Elsevier DOI 1512
GEOBIA BibRef

Zhang, C.[Ce], Atkinson, P.M.[Peter M.], George, C.[Charles], Wen, Z.F.[Zhao-Fei], Diazgranados, M.[Mauricio], Gerard, F.[France],
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning,
PandRS(169), 2020, pp. 280-291.
Elsevier DOI 2011
Multi-scale deep learning, Residual U-Net, Scale sequence, Semantic segmentation, Páramos BibRef

Tuominen, J.[Jyrki], Lipping, T.[Tarmo],
Spectral Characteristics of Common Reed Beds: Studies on Spatial and Temporal Variability,
RS(8), No. 3, 2016, pp. 181.
DOI Link 1604
BibRef

Lehmann, J.R.K.[Jan R. K.], Münchberger, W.[Wiebke], Knoth, C.[Christian], Blodau, C.[Christian], Nieberding, F.[Felix], Prinz, T.[Torsten], Pancotto, V.A.[Verónica A.], Kleinebecker, T.[Till],
High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery,
RS(8), No. 3, 2016, pp. 173.
DOI Link 1604
BibRef

Moser, L.[Linda], Schmitt, A.[Andreas], Wendleder, A.[Anna], Roth, A.[Achim],
Monitoring of the Lac Bam Wetland Extent Using Dual-Polarized X-Band SAR Data,
RS(8), No. 4, 2016, pp. 302.
DOI Link 1604
BibRef

Jaud, M.[Marion], Grasso, F.[Florent], Le Dantec, N.[Nicolas], Verney, R.[Romaric], Delacourt, C.[Christophe], Ammann, J.[Jérôme], Deloffre, J.[Julien], Grandjean, P.[Philippe],
Potential of UAVs for Monitoring Mudflat Morphodynamics (Application to the Seine Estuary, France),
IJGI(5), No. 4, 2016, pp. 50.
DOI Link 1604
BibRef

Schlaffer, S.[Stefan], Chini, M.[Marco], Dettmering, D.[Denise], Wagner, W.[Wolfgang],
Mapping Wetlands in Zambia Using Seasonal Backscatter Signatures Derived from ENVISAT ASAR Time Series,
RS(8), No. 5, 2016, pp. 402.
DOI Link 1606
BibRef

Dronova, I.[Iryna], Beissinger, S.R.[Steven R.], Burnham, J.W.[James W.], Gong, P.[Peng],
Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake,
RS(8), No. 6, 2016, pp. 462.
DOI Link 1608
BibRef

Domínguez-Beisiegel, M.[Manuela], Castańeda, C.[Carmen], Mougenot, B.[Bernard], Herrero, J.[Juan],
Analysis and Mapping of the Spectral Characteristics of Fractional Green Cover in Saline Wetlands (NE Spain) Using Field and Remote Sensing Data,
RS(8), No. 7, 2016, pp. 590.
DOI Link 1608
BibRef

Niu, B.[Ben], He, Y.T.[Yong-Tao], Zhang, X.Z.[Xian-Zhou], Zong, N.[Ning], Fu, G.[Gang], Shi, P.[Peili], Zhang, Y.J.[Yang-Jian], Du, M.Y.[Ming-Yuan], Zhang, J.[Jing],
Satellite-Based Inversion and Field Validation of Autotrophic and Heterotrophic Respiration in an Alpine Meadow on the Tibetan Plateau,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Dabrowska-Zielinska, K.[Katarzyna], Budzynska, M.[Maria], Tomaszewska, M.A.[Monika A.], Malinska, A.[Alicja], Gatkowska, M.[Martyna], Bartold, M.[Maciej], Malek, I.[Iwona],
Assessment of Carbon Flux and Soil Moisture in Wetlands Applying Sentinel-1 Data,
RS(8), No. 9, 2016, pp. 756.
DOI Link 1610
BibRef

Mack, B.[Benjamin], Roscher, R.[Ribana], Stenzel, S.[Stefanie], Feilhauer, H.[Hannes], Schmidtlein, S.[Sebastian], Waske, B.[Björn],
Mapping raised bogs with an iterative one-class classification approach,
PandRS(120), No. 1, 2016, pp. 53-64.
Elsevier DOI 1610
Remote sensing BibRef

Husson, E.[Eva], Ecke, F.[Frauke], Reese, H.[Heather],
Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images,
RS(8), No. 9, 2016, pp. 724.
DOI Link 1610
BibRef

Muro, J.[Javier], Canty, M.[Morton], Conradsen, K.[Knut], Hüttich, C.[Christian], Nielsen, A.A.[Allan Aasbjerg], Skriver, H.[Henning], Remy, F.[Florian], Strauch, A.[Adrian], Thonfeld, F.[Frank], Menz, G.[Gunter],
Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series,
RS(8), No. 10, 2016, pp. 795.
DOI Link 1609
BibRef

Tian, S.H.[Shao-Hong], Zhang, X.F.[Xian-Feng], Tian, J.[Jie], Sun, Q.[Quan],
Random Forest Classification of Wetland Landcovers from Multi-Sensor Data in the Arid Region of Xinjiang, China,
RS(8), No. 11, 2016, pp. 954.
DOI Link 1612
BibRef

Bustamante, J.[Javier], Aragonés, D.[David], Afán, I.[Isabel], Luque, C.J.[Carlos J.], Pérez-Vázquez, A.[Andrés], Castellanos, E.M.[Eloy M.], Díaz-Delgado, R.[Ricardo],
Hyperspectral Sensors as a Management Tool to Prevent the Invasion of the Exotic Cordgrass Spartina densiflora in the Dońana Wetlands,
RS(8), No. 12, 2016, pp. 1001.
DOI Link 1612
BibRef

Brisco, B.[Brian], Ahern, F.[Frank], Murnaghan, K.[Kevin], White, L.[Lori], Canisus, F.[Francis], Lancaster, P.[Philip],
Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Sun, R.[Rui], Yao, P.P.[Ping-Ping], Wang, W.[Wen], Yue, B.[Bing], Liu, G.[Gang],
Assessment of Wetland Ecosystem Health in the Yangtze and Amazon River Basins,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Husson, E.[Eva], Reese, H.[Heather], Ecke, F.[Frauke],
Combining Spectral Data and a DSM from UAS-Images for Improved Classification of Non-Submerged Aquatic Vegetation,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Beon, M.S.[Mu-Sup], Cho, K.H.[Ki Hwan], Kim, H.O.[Hyun Ok], Oh, H.K.[Hyun-Kyung], Jeong, J.C.[Jong-Chul],
Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Lumbierres, M.[Maria], Méndez, P.F.[Pablo F.], Bustamante, J.[Javier], Soriguer, R.[Ramón], Santamaría, L.[Luis],
Modeling Biomass Production in Seasonal Wetlands Using MODIS NDVI Land Surface Phenology,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Alibakhshi, S.[Sara], Groen, T.A.[Thomas A.], Rautiainen, M.[Miina], Naimi, B.[Babak],
Remotely-Sensed Early Warning Signals of a Critical Transition in a Wetland Ecosystem,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Liu, M.Y.[Ming-Yue], Li, H.Y.[Hui-Ying], Li, L.[Lin], Man, W.D.[Wei-Dong], Jia, M.M.[Ming-Ming], Wang, Z.M.[Zong-Ming], Lu, C.Y.[Chun-Yan],
Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Wang, J.[Jing], Liu, Z.J.[Zheng-Jun], Yu, H.Y.[Hai-Ying], Li, F.F.[Fang-Fang],
Mapping Spartina alterniflora Biomass Using LiDAR and Hyperspectral Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Mahdianpari, M.[Masoud], Salehi, B.[Bahram], Mohammadimanesh, F.[Fariba], Motagh, M.[Mahdi],
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery,
PandRS(130), No. 1, 2017, pp. 13-31.
Elsevier DOI 1708
Wetland, classification BibRef

Mohammadimanesh, F.[Fariba], Salehi, B.[Bahram], Mahdianpari, M.[Masoud], Brisco, B.[Brian], Motagh, M.[Mahdi],
Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands,
PandRS(142), 2018, pp. 78-93.
Elsevier DOI 1807
Wetland, Interferometric Synthetic Aperture Radar, Coherence analysis, SAR backscatter, Random Forest BibRef

Huo, H.Y.[Hong-Yuan], Guo, J.[Jifa], Li, Z.L.[Zhao-Liang], Jiang, X.G.[Xiao-Guang],
Remote Sensing of Spatiotemporal Changes in Wetland Geomorphology Based on Type 2 Fuzzy Sets: A Case Study of Beidagang Wetland from 1975 to 2015,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

de Vries, B.[Ben], Huang, C.Q.[Cheng-Quan], Lang, M.W.[Megan W.], Jones, J.W.[John W.], Huang, W.L.[Wen-Li], Creed, I.F.[Irena F.], Carroll, M.L.[Mark L.],
Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Huang, W.L.[Wen-Li], de Vries, B.[Ben], Huang, C.Q.[Cheng-Quan], Lang, M.W.[Megan W.], Jones, J.W.[John W.], Creed, I.F.[Irena F.], Carroll, M.L.[Mark L.],
Automated Extraction of Surface Water Extent from Sentinel-1 Data,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Dubeau, P.[Pierre], King, D.J.[Douglas J.], Unbushe, D.G.[Dikaso Gojamme], Rebelo, L.M.[Lisa-Maria],
Mapping the Dabus Wetlands, Ethiopia, Using Random Forest Classification of Landsat, PALSAR and Topographic Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Yadav, S.[Shweta], Yoneda, M.[Minoru], Susaki, J.[Junichi], Tamura, M.[Masayuki], Ishikawa, K.[Kanako], Yamashiki, Y.[Yosuke],
A Satellite-Based Assessment of the Distribution and Biomass of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Jing, R.[Ran], Gong, Z.N.[Zhao-Ning], Zhao, W.J.[Wen-Ji], Pu, R.L.[Rui-Liang], Deng, L.[Lei],
Above-bottom biomass retrieval of aquatic plants with regression models and SfM data acquired by a UAV platform-A case study in Wild Duck Lake Wetland, Beijing, China,
PandRS(134), No. Supplement C, 2017, pp. 122-134.
Elsevier DOI 1712
Wetland aquatic plants, Above-bottom biomass, Unmanned aerial vehicle, SfM data, Regression analysis BibRef

Mleczko, M.[Magdalena], Mróz, M.[Marek], Fitrzyk, M.,
Wetland Mapping with SAR/Quad-Pol Data Acquired During Tandem-x Science Phase,
ISPRS16(B7: 809-813).
DOI Link 1610
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Behnamian, A.[Amir], Banks, S.[Sarah], White, L.[Lori], Brisco, B.[Brian], Milard, K.[Koreen], Pasher, J.[Jon], Chen, Z.H.[Zhao-Hua], Duffe, J.[Jason], Bourgeau-Chavez, L.[Laura], Battaglia, M.[Michael],
Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Chatziantoniou, A.[Andromachi], Psomiadis, E.[Emmanouil], Petropoulos, G.P.[George P.],
Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Hird, J.N.[Jennifer N.], DeLancey, E.R.[Evan R.], McDermid, G.J.[Gregory J.], Kariyeva, J.[Jahan],
Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Berhane, T.M.[Tedros M.], Lane, C.R.[Charles R.], Wu, Q.S.[Qiu-Sheng], Anenkhonov, O.A.[Oleg A.], Chepinoga, V.V.[Victor V.], Autrey, B.C.[Bradley C.], Liu, H.X.[Hong-Xing],
Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Enwright, N.M.[Nicholas M.], Wang, L.[Lei], Wang, H.Q.[Hong-Qing], Osland, M.J.[Michael J.], Feher, L.C.[Laura C.], Borchert, S.M.[Sinéad M.], Day, R.H.[Richard H.],
Modeling Barrier Island Habitats Using Landscape Position Information,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Meneses, N.C.[Nicolás Corti], Baier, S.[Simon], Geist, J.[Juergen], Schneider, T.[Thomas],
Evaluation of Green-LiDAR Data for Mapping Extent, Density and Height of Aquatic Reed Beds at Lake Chiemsee, Bavaria: Germany,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Chen, B.[Bin], Chen, L.[Lifan], Huang, B.[Bo], Michishita, R.[Ryo], Xu, B.[Bing],
Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations,
PandRS(139), 2018, pp. 75-87.
Elsevier DOI 1804
Spatiotemporal NDVI fusion, Poyang Lake, Wetland cover change BibRef

Lowman, L.E.L.[Lauren E. L.], Wei, T.M.[Tiffany M.], Barros, A.P.[Ana P.],
Rainfall Variability, Wetland Persistence, and Water-Carbon Cycle Coupling in the Upper Zambezi River Basin in Southern Africa,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Na, X.D.[Xiao-Dong], Zang, S.Y.[Shu-Ying], Wu, C.S.[Chang-Shan], Tian, Y.[Yang], Li, W.L.[Wen-Liang],
Hydrological Regime Monitoring and Mapping of the Zhalong Wetland through Integrating Time Series Radarsat-2 and Landsat Imagery,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Hou, X.J.[Xue-Jiao], Feng, L.[Lian], Chen, X.L.[Xiao-Ling], Zhang, Y.L.[Yun-Lin],
Dynamics of the wetland vegetation in large lakes of the Yangtze Plain in response to both fertilizer consumption and climatic changes,
PandRS(141), 2018, pp. 148-160.
Elsevier DOI 1806
Wetland vegetation, Yangtze Plain, Lakes, MODIS, Time series, Fertilizer consumption BibRef

Pan, F.F.[Fei-Fei], Xie, J.P.[Jian-Ping], Lin, J.M.[Ju-Ming], Zhao, T.W.[Ting-Wei], Ji, Y.Y.[Yong-Yuan], Hu, Q.[Qi], Pan, X.B.[Xue-Biao], Wang, C.[Cheng], Xi, X.H.[Xiao-Huan],
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Remote sensing, Wetlands, Spectral analysis, Separability measures, Canada BibRef

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UAV, LiDAR, Mangrove, Zonation, Inundation, Zhangjiang Estuary BibRef

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Does Ecological Water Replenishment Help Prevent a Large Wetland from Further Deterioration? Results from the Zhalong Nature Reserve, China,
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Multispectral Remote Sensing of Wetlands in Semi-Arid and Arid Areas: A Review on Applications, Challenges and Possible Future Research Directions,
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Ecological and Environmental Effects of Estuarine Wetland Loss Using Keyhole and Landsat Data in Liao River Delta, China,
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Tropical Forest and Wetland Losses and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and Machine Learning,
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Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive Sparse Constrained Least Squares Linear Spectral Mixture Model,
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DOI Link 2103
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Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula,
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DOI Link 2103
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Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin,
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DOI Link 2103
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PandRS(174), 2021, pp. 151-165.
Elsevier DOI 2103
Drone imagery augmentation, Colour correction, Machine learning, Sentinel-2, Wetland mapping BibRef

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DOI Link 2104
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Airborne Hyperspectral Data Acquisition and Processing in the Arctic: A Pilot Study Using the Hyspex Imaging Spectrometer for Wetland Mapping,
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DOI Link 2104
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Mapping Alkaline Fens, Transition Mires and Quaking Bogs Using Airborne Hyperspectral and Laser Scanning Data,
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DOI Link 2104
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Fang, J.N.[Jia-Ning], Zaitchik, B.[Benjamin],
Challenges in Reconciling Satellite-Based and Locally Reported Estimates of Wetland Change: A Case of Topographically Constrained Wetlands on the Eastern Tibetan Plateau,
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DOI Link 2104
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Wu, Y.X.[Yu-Xuan], Xi, Y.[Yi], Feng, M.[Maoyuan], Peng, S.[Shushi],
Wetlands Cool Land Surface Temperature in Tropical Regions but Warm in Boreal Regions,
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DOI Link 2104
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Taddeo, S.[Sophie], Dronova, I.[Iryna], Harris, K.[Kendall],
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PandRS(175), 2021, pp. 236-246.
Elsevier DOI 2105
Remote sensing, Distance-based Moran's Eigenvectors Maps, National Agriculture Inventory Program, Landsat, Spectral heterogeneity BibRef

Zhu, Q.D.[Qian-De], Wang, Y.N.[Yi-Ning], Liu, J.X.[Jin-Xia], Li, X.C.[Xue-Chun], Pan, H.R.[Hai-Rong], Jia, M.M.[Ming-Ming],
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DOI Link 2106
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A Fused Radar-Optical Approach for Mapping Wetlands and Deepwaters of the Mid-Atlantic and Gulf Coast Regions of the United States,
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DOI Link 2107
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Shifting of the Migration Route of White-Naped Crane (Antigone vipio) Due to Wetland Loss in China,
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DOI Link 2108
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DOI Link 2109
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Amani, M.[Meisam], Brisco, B.[Brian], Warren, R.[Rebecca], de Lancey, E.R.[Evan R.], Seydi, S.T.[Seyd Teymoor], Poncos, V.[Valentin],
Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data,
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Continuous Monitoring of the Flooding Dynamics in the Albufera Wetland (Spain) by Landsat-8 and Sentinel-2 Datasets,
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DOI Link 2109
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DOI Link 2110
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Status and Trends of Wetland Studies in Canada Using Remote Sensing Technology with a Focus on Wetland Classification: A Bibliographic Analysis,
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DOI Link 2110
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DOI Link 2112
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RS(13), No. 23, 2021, pp. xx-yy.
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Comparison of Different Analytical Strategies for Classifying Invasive Wetland Vegetation in Imagery from Unpiloted Aerial Systems (UAS),
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DOI Link 2112
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Penfound, E.[Elissa], Vaz, E.[Eric],
Analysis of Wetland Landcover Change in Great Lakes Urban Areas Using Self-Organizing Maps,
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DOI Link 2112
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Integrating SAR and Optical Remote Sensing for Conservation-Targeted Wetlands Mapping,
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Baier, S.[Simon], Meneses, N.C.[Nicolás Corti], Geist, J.[Juergen], Schneider, T.[Thomas],
Assessment of Aquatic Reed Stands from Airborne Photogrammetric 3K Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Li, H.Y.[Hua-Yu], Wan, J.H.[Jian-Hua], Liu, S.W.[Shan-Wei], Sheng, H.[Hui], Xu, M.M.[Ming-Ming],
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RS(14), No. 3, 2022, pp. xx-yy.
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Predicting Dynamics of the Potential Breeding Habitat of Larus saundersi by MaxEnt Model under Changing Land-Use Conditions in Wetland Nature Reserve of Liaohe Estuary, China,
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DOI Link 2202
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Xing, L.W.[Li-Wei], Niu, Z.G.[Zhen-Guo], Jiao, C.C.[Cui-Cui], Zhang, J.[Jing], Han, S.Q.[Shu-Qing], Cheng, G.D.[Guo-Dong], Wu, J.Z.[Jian-Zhai],
A Novel Workflow for Seasonal Wetland Identification Using Bi-Weekly Multiple Remote Sensing Data,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
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Gao, Y.H.[Yun-Hao], Song, X.K.[Xiu-Kai], Li, W.[Wei], Wang, J.B.[Jian-Bu], He, J.L.[Jian-Long], Jiang, X.Y.[Xiang-Yang], Feng, Y.Y.[Yin-Yin],
Fusion Classification of HSI and MSI Using a Spatial-Spectral Vision Transformer for Wetland Biodiversity Estimation,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
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Liu, D.D.[Dan-Dan], Liu, L.L.[Ling-Ling], You, Q.H.[Qing-Hui], Hu, Q.[Qiwu], Jian, M.[Minfei], Liu, G.H.[Gui-Hua], Cong, M.Y.[Ming-Yang], Yao, B.[Bo], Xia, Y.[Ying], Zhong, J.[Jie], Yang, W.J.[Wen-Jing],
Development of a Landscape-Based Multi-Metric Index to Assess Wetland Health of the Poyang Lake,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Zhang, B.[Boya], Wdowinski, S.[Shimon], Gann, D.[Daniel],
Space-Based Detection of Significant Water-Depth Increase Induced by Hurricane Irma in the Everglades Wetlands Using Sentinel-1 SAR Backscatter Observations,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Ju, Y.[Yang], Bohrer, G.[Gil],
Classification of Wetland Vegetation Based on NDVI Time Series from the HLS Dataset,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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Saltiel, T.M.[Troy M.], Dennison, P.E.[Philip E.], Campbell, M.J.[Michael J.], Thompson, T.R.[Tom R.], Hambrecht, K.R.[Keith R.],
Tradeoffs between UAS Spatial Resolution and Accuracy for Deep Learning Semantic Segmentation Applied to Wetland Vegetation Species Mapping,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
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Hu, B.S.[Bi-Song], Zou, L.[Lin], Qi, S.H.[Shu-Hua], Yin, Q.[Qian], Luo, J.[Jin], Zuo, L.J.[Li-Jun], Meng, Y.[Yu],
Evaluating the Vulnerability of Siberian Crane Habitats and the Influences of Water Level Intervals in Poyang Lake Wetland, China,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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de Lancey, E.R.[Evan R.], Czekajlo, A.[Agatha], Boychuk, L.[Lyle], Gregory, F.[Fiona], Amani, M.[Meisam], Brisco, B.[Brian], Kariyeva, J.[Jahan], Hird, J.N.[Jennifer N.],
Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Molina, I.[Ińigo], Calabia, A.[Andrés], Jin, S.G.[Shuang-Gen], Edokossi, K.[Komi], Wu, X.[Xuerui],
Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Wang, M.[Ming], Mao, D.H.[De-Hua], Wang, Y.Q.[Ye-Qiao], Song, K.[Kaishan], Yan, H.Q.[Heng-Qi], Jia, M.M.[Ming-Ming], Wang, Z.M.[Zong-Ming],
Annual Wetland Mapping in Metropolis by Temporal Sample Migration and Random Forest Classification with Time Series Landsat Data and Google Earth Engine,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Amani, M.[Meisam], Kakooei, M.[Mohammad], Ghorbanian, A.[Arsalan], Warren, R.[Rebecca], Mahdavi, S.[Sahel], Brisco, B.[Brian], Moghimi, A.[Armin], Bourgeau-Chavez, L.[Laura], Toure, S.[Souleymane], Paudel, A.[Ambika], Sulaiman, A.[Ablajan], Post, R.[Richard],
Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Yu, D.L.[Dan-Lin], Procopio, N.A.[Nicholas A.], Fang, C.L.[Chuang-Lin],
Simulating the Changes of Invasive Phragmites australis in a Pristine Wetland Complex with a Grey System Coupled System Dynamic Model: A Remote Sensing Practice,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Lamb, L.M.[Lukas M.], Gann, D.[Daniel], Velazquez, J.T.[Jesse T.], Troxler, T.G.[Tiffany G.],
Detecting Vegetation to Open Water Transitions in a Subtropical Wetland Landscape from Historical Panchromatic Aerial Photography and Multispectral Satellite Imagery,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Cao, Y.J.[Yi-Jie], Ma, Y.G.[Yong-Gang], Liu, T.[Tie], Li, J.L.[Jun-Li], Zhong, R.S.[Rui-Sen], Wang, Z.[Zheng], Zan, C.J.[Chan-Juan],
Analysis of Spatial-Temporal Variations and Driving Factors of Typical Tail-Reach Wetlands in the Ili-Balkhash Basin, Central Asia,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Rummell, A.J.[Ashley J.], Leon, J.X.[Javier X.], Borland, H.P.[Hayden P.], Elliott, B.B.[Brittany B.], Gilby, B.L.[Ben L.], Henderson, C.J.[Christopher J.], Olds, A.D.[Andrew D.],
Watching the Saltmarsh Grow: A High-Resolution Remote Sensing Approach to Quantify the Effects of Wetland Restoration,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Wei, C.X.[Cui-Xia], Guo, B.[Bing], Fan, Y.W.[Ye-Wen], Zang, W.Q.[Wen-Qian], Ji, J.W.[Jian-Wan],
The Change Pattern and Its Dominant Driving Factors of Wetlands in the Yellow River Delta Based on Sentinel-2 Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Zhang, B.[Bo], Niu, Z.G.[Zhen-Guo], Zhang, D.Q.[Dong-Qi], Huo, X.L.[Xuan-Lin],
Dynamic Changes and Driving Forces of Alpine Wetlands on the Qinghai-Tibetan Plateau Based on Long-Term Time Series Satellite Data: A Case Study in the Gansu Maqu Wetlands,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Li, A.[Anzhen], Song, K.[Kaishan], Chen, S.[Shengbo], Mu, Y.L.[Yong-Ling], Xu, Z.Y.[Zheng-Yuan], Zeng, Q.[Qinghong],
Mapping African wetlands for 2020 using multiple spectral, geo-ecological features and Google Earth Engine,
PandRS(193), 2022, pp. 252-268.
Elsevier DOI 2210
Wetlands mapping, Large data samples, Wetland hydrological feature, Dynamic threshold segmentation, Africa BibRef

Huang, W.Q.[Wen-Qin], Hu, T.F.[Teng-Fei], Mao, J.Q.[Jing-Qiao], Montzka, C.[Carsten], Bol, R.[Roland], Wan, S.X.[Song-Xian], Li, J.X.[Jian-Xin], Yue, J.[Jin], Dai, H.[Huichao],
Hydrological Drivers for the Spatial Distribution of Wetland Herbaceous Communities in Poyang Lake,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Zhang, S.Y.[Shuai-Ying], An, W.T.[Wen-Tao], Zhang, Y.[Yue], Cui, L.[Lizhen], Xie, C.H.[Chun-Hua],
Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar through Convolutional Neural Networks Based on Polarimetric Features,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Li, M.J.[Meng-Juan], Ti, P.[Peng], Zhu, X.L.[Xiu-Li], Xiong, T.[Tao], Mei, Y.T.[Yu-Ting], Li, Z.L.[Zhi-Lin],
Analysis of Spatial and Temporal Variability of Global Wetlands during the Last 20 Years Using GlobeLand30 Data,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Liu, Y.[Yang], Zhang, H.Q.[Huai-Qing], Cui, Z.[Zeyu], Zuo, Y.Q.[Yuan-Qing], Lei, K.[Kexin], Zhang, J.[Jing], Yang, T.[Tingdong], Ji, P.[Ping],
Precise Wetland Mapping in Southeast Asia for the Ramsar Strategic Plan 2016-24,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Li, Y.Y.[Yu-Yang], Deng, T.F.[Teng-Fang], Fu, B.[Bolin], Lao, Z.[Zhinan], Yang, W.[Wenlan], He, H.C.[Hong-Chang], Fan, D.L.[Dong-Lin], He, W.[Wen], Yao, Y.F.[Yue-Feng],
Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Arai, H.[Hironori], Zribi, M.[Mehrez], Oyoshi, K.[Kei], Dassas, K.[Karin], Huc, M.[Mireille], Sobue, S.[Shinichi], Toan, T.L.[Thuy Le],
Quality Control of CyGNSS Reflectivity for Robust Spatiotemporal Detection of Tropical Wetlands,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Jafarzadeh, H.[Hamid], Mahdianpari, M.[Masoud], Gill, E.W.[Eric W.], Brisco, B.[Brian], Mohammadimanesh, F.[Fariba],
Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Sun, M.L.[Mei-Ling], Hu, J.[Jian], Chen, X.L.[Xue-Ling], Lü, Y.[Yihe], Yang, L.X.[Li-Xue],
Comparison of Five Models for Estimating the Water Retention Service of a Typical Alpine Wetland Region in the Qinghai-Tibetan Plateau,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Lu, X.[Xuancheng], Wen, J.[Jun], Wang, D.X.[Dong-Xiao], Liu, W.H.[Wen-Hui], Yang, Y.[Yue], Tian, H.[Hui], Wu, Y.[Yueyue], Jiang, Y.Q.[Yu-Qin],
The Influence of Horizontal Thermal Advection on Near-Surface Energy Budget Closure over the Zoige Alpine Wetland, China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Demarquet, Q.[Quentin], Rapinel, S.[Sébastien], Dufour, S.[Simon], Hubert-Moy, L.[Laurence],
Long-Term Wetland Monitoring Using the Landsat Archive: A Review,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
Survey, Wetlands. BibRef

Islam, M.K.[Md Kamrul], Milas, A.S.[Anita Simic], Abeysinghe, T.[Tharindu], Tian, Q.[Qing],
Integrating UAV-Derived Information and WorldView-3 Imagery for Mapping Wetland Plants in the Old Woman Creek Estuary, USA,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Zhang, J.[Jiamin], Chu, L.[Lei], Zhang, Z.[Zengxin], Zhu, B.[Bin], Liu, X.Y.[Xiao-Yan], Yang, Q.[Qiang],
Evolution of Small and Micro Wetlands and Their Driving Factors in the Yangtze River Delta: A Case Study of Wuxi Area,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Abdelmajeed, A.Y.A.[Abdallah Yussuf Ali], Albert-Saiz, M.[Mar], Rastogi, A.[Anshu], Juszczak, R.[Radoslaw],
Cloud-Based Remote Sensing for Wetland Monitoring: A Review,
RS(15), No. 6, 2023, pp. 1660.
DOI Link 2304
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Ge, Y.[Ying], Sklenicka, P.[Petr], Chen, Z.[Zhongbing],
Socioeconomic and Climate Effects on Changes in Wetlands in China during a Three-Decade Period of Rapid Growth,
RS(15), No. 6, 2023, pp. 1683.
DOI Link 2304
BibRef

Furlan, L.M.[Lucas Moreira], Ferreira, M.E.[Manuel Eduardo], Moreira, C.A.[César Augusto], de Alencar, P.G.[Paulo Guilherme], Casagrande, M.F.S.[Matheus Felipe Stanfoca], Rosolen, V.[Vânia],
Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil,
RS(15), No. 7, 2023, pp. 1870.
DOI Link 2304
BibRef

Wei, C.X.[Cui-Xia], Guo, B.[Bing], Lu, M.[Miao], Zang, W.Q.[Wen-Qian], Yang, F.[Fei], Liu, C.[Chuan], Wang, B.Y.[Bao-Yu], Huang, X.Z.[Xiang-Zhi], Liu, Y.F.[Yi-Feng], Yu, Y.[Yang], Li, J.L.[Jia-Lin], Xu, M.[Mei],
The Changes in Dominant Driving Factors in the Evolution Process of Wetland in the Yellow River Delta during 2015-2022,
RS(15), No. 11, 2023, pp. 2858.
DOI Link 2306
BibRef

Jarocinska, A.[Anna], Niedzielko, J.[Jan], Kopec, D.[Dominik], Wylazlowska, J.[Justyna], Omelianska, B.[Bozhena], Charyton, J.[Jakub],
Testing Textural Information Base on LiDAR and Hyperspectral Data for Mapping Wetland Vegetation: A Case Study of Warta River Mouth National Park (Poland),
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Mohseni, F.[Farzane], Amani, M.[Meisam], Mohammadpour, P.[Pegah], Kakooei, M.[Mohammad], Jin, S.G.[Shuang-Gen], Moghimi, A.[Armin],
Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine,
RS(15), No. 14, 2023, pp. 3495.
DOI Link 2307
BibRef

Jiménez-Melero, R.[Raquel], Bohorquez, P.[Patricio], González-Planet, I.[Inmaculada], Pérez-Latorre, F.J.[Francisco José], Parra, G.[Gema],
Technological Advances to Rescue Temporary and Ephemeral Wetlands: Reducing Their Vulnerability, Making Them Visible,
RS(15), No. 14, 2023, pp. 3553.
DOI Link 2307
BibRef

Zhang, Y.[Ya], Fu, B.[Bolin], Sun, X.[Xidong], Yao, H.[Hang], Zhang, S.[Shurong], Wu, Y.[Yan], Kuang, H.Y.[Hong-Yuan], Deng, T.[Tengfang],
Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm,
RS(15), No. 16, 2023, pp. 4003.
DOI Link 2309
BibRef

Yang, W.J.[Wen-Jing], Zhong, J.[Jie], Xia, Y.[Ying], Hu, Q.[Qiwu], Fang, C.Y.[Chao-Yang], Cong, M.Y.[Ming-Yang], Yao, B.[Bo], You, Q.[Qinghui],
A Comprehensive Multi-Metric Index for Health Assessment of the Poyang Lake Wetland,
RS(15), No. 16, 2023, pp. 4061.
DOI Link 2309
BibRef

Niu, Z.[Zhongen], Si, B.C.[Bing-Cheng], Li, D.[Dong], Zhao, Y.[Ying], Hou, X.[Xiyong], Li, L.L.[Lin-Lin], Wang, B.[Bin], Song, B.[Bing], Zhang, M.Y.[Meng-Yu], Li, X.[Xiyu], Zeng, N.[Na], Zhu, X.B.[Xiao-Bo], Lv, Y.[Yan], Mai, Z.Q.[Zi-Qi],
Spatiotemporal Variation in Driving Factors of Vegetation Dynamics in the Yellow River Delta Estuarine Wetlands from 2000 to 2020,
RS(15), No. 17, 2023, pp. 4332.
DOI Link 2310
BibRef

Ma, Z.R.[Zhen-Ru], Chen, W.Z.[Wei-Zhe], Xiao, A.[Anguo], Zhang, R.[Rui],
The Susceptibility of Wetland Areas in the Yangtze River Basin to Temperature and Vegetation Changes,
RS(15), No. 18, 2023, pp. 4534.
DOI Link 2310
BibRef

Igwe, V.[Victor], Salehi, B.[Bahram], Mahdianpari, M.[Masoud],
Rapid Large-Scale Wetland Inventory Update Using Multi-Source Remote Sensing,
RS(15), No. 20, 2023, pp. 4960.
DOI Link 2310
BibRef

Zhai, G.Q.[Guang-Qing], Du, J.Q.[Jia-Qiang], Li, L.J.[Li-Juan], Zhu, X.Q.[Xiao-Qian], Song, Z.[Zebang], Wu, L.[Luyao], Chong, F.F.[Fang-Fang], Chen, X.[Xiya],
Spatiotemporal Dynamics and Driving Factors of Small and Micro Wetlands in the Yellow River Basin from 1990 to 2020,
RS(16), No. 3, 2024, pp. 567.
DOI Link 2402
BibRef

Wu, X.L.[Xiao-Lan], Zhao, H.[Hui], Wang, M.H.[Mei-Hong], Yuan, Q.Z.[Quan-Zhi], Chen, Z.J.[Zhao-Jie], Jiang, S.Z.[Shi-Zhong], Deng, W.[Wei],
Evolution of Wetland Patterns and Key Driving Forces in China's Drylands,
RS(16), No. 4, 2024, pp. 702.
DOI Link 2402
BibRef

Aslam, R.W.[Rana Waqar], Shu, H.[Hong], Naz, I.[Iram], Quddoos, A.[Abdul], Yaseen, A.[Andaleeb], Gulshad, K.[Khansa], Alarifi, S.S.[Saad S.],
Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data,
RS(16), No. 5, 2024, pp. 928.
DOI Link 2403
BibRef


Makinano-Santillan, M.M., Santillan, J.R.,
Mapping Land Cover Change and Modelling Its Impacts on the Inundation Responses of the Agusan Marsh, Mindanao, Philippines,
ISPRS21(B3-2021: 595-602).
DOI Link 2201
BibRef

Jamali, A., Mahdianpari, M., Karas, I.R.,
A Comparison of Tree-based Algorithms for Complex Wetland Classification Using the Google Earth Engine,
SmartCityApp21(313-319).
DOI Link 2201
BibRef

Ahangarha, M., Seydi, S.T., Shahhoseini, R.,
Hyperspectral Change Detection in Wetland and Water-body Areas Based On Machine Learning,
SMPR19(19-24).
DOI Link 1912
BibRef

Ji, W.[Wei],
Remotely-sensed Urban Wet-landscapes: An Indicator Of Coupled Effects Of Human Impact And Climate Change,
ISPRS16(B8: 915-918).
DOI Link 1610
BibRef

Boon, M.A., Greenfield, R., Tesfamichael, S.,
Wetland Assessment Using Unmanned Aerial Vehicle (UAV) Photogrammetry,
ISPRS16(B1: 781-788).
DOI Link 1610
BibRef

Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Homayouni, S.,
Unsupervised Wishart Classfication Of Wetlands In Newfoundland, Canada Using Polsar Data Based On Fisher Linear Discriminant Analysis,
ISPRS16(B7: 305-310).
DOI Link 1610
BibRef

Costa, P.H.[Paulo Henrique], Pereira, E.O.[Eric Oliveira], Maillard, P.[Philippe],
An Original Processing Method Of Satellite Altimetry For Estimating Water Levels And Volume Fluctuations In A Series Of Small Lakes Of The Pantanal Wetland Complex In Brazil,
ISPRS16(B8: 327-334).
DOI Link 1610
BibRef

Marcaccio, J.V., Markle, C.E., Chow-Fraser, P.,
Unmanned Aerial Vehicles Produce High-Resolution, Seasonally-Relevant Imagery for Classifying Wetland Vegetation,
UAV-g15(249-256).
DOI Link 1512
BibRef

White, D.C., Lewis, M.M.,
Mapping The Wetland Vegetation Communities Of The Australian Great Artesian Basin Springs Using Sam, Mtmf And Spectrally Segmented Pca Hyperspectral Analyses,
ISPRS12(XXXIX-B7:163-165).
DOI Link 1209
BibRef

Niu, Z.G., Shan, Y.X., Gong, P.,
Accuracy Evaluation Of Two Global Land Cover Data Sets Over Wetlands Of China,
ISPRS12(XXXIX-B7:223-228).
DOI Link 1209
BibRef

Penatti, N.C., de Almeida, T.I.R.,
Subdivision of Pantanal Quaternary Wetlands: Modis NDVI Timeseries in The Indirect Detection Of Sediments Granulometry,
ISPRS12(XXXIX-B8:311-316).
DOI Link 1209
BibRef

Schmitt, A., Leichtle, T., Huber, M., Roth, A.,
On the Use of Dual-Co-Polarized Terrasar-X Data for Wetland Monitoring,
ISPRS12(XXXIX-B7:341-344).
DOI Link 1209
BibRef

Petus, C., Lewis, M., White, D.,
Using Modis Normalized Difference Vegetation Index to monitor seasonal and inter-annual dynamics of wetland vegetation in the Great Artesian Basin: a baseline for assessment of future changes in a unique ecosystem,
ISPRS12(XXXIX-B8:187-192).
DOI Link 1209
BibRef

Lin, Y., Shen, M., Liu, B., Ye, Q.,
Remote Sensing Classification Method of Wetland Based on an Improved SVM,
IWIDF13(179-183).
DOI Link 1311
BibRef

Powers, R.[Ryan],
How wetland type and area change through scale: a GEOBIA case study of Alberta's boreal plains,
CGC10(165).
PDF File. 1006
BibRef

Kong, B.[Bo], Deng, W.[Wei], Tao, H.P.[He-Ping], Yu, H.[Huan],
Design of Wetland-Ecological Corridor Using Multi-Scale Remote Sensing Image Segmentation Method,
CISP09(1-8).
IEEE DOI 0910
BibRef

Grenier, M., Demers, A.M., Labrecque, S., Benoit, M., Fournier, R., Drolet, B.,
Wetland mapping using object-oriented classification, a multi-scale approach for the Canadian Wetland Inventory (CWI) initiative,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Floodplains, Riverside .


Last update:Mar 16, 2024 at 20:36:19