22.1.5.23 Land Cover Change Analysis, Longer Term, Seasonal, Annual Variations, Climate Change, Analysis

Shi, H., Xiao, Z., Liang, S., Ma, H.,
A Method for Consistent Estimation of Multiple Land Surface Parameters From MODIS Top-of-Atmosphere Time Series Data,
GeoRS(55), No. 9, September 2017, pp. 5158-5173.
IEEE DOI 1709
Kalman filters, albedo, atmospheric composition, clouds, parameter estimation, time series, coupled land surface-atmosphere model, MODIS, Snow, Consistent estimation, Moderate Resolution Imaging Spectroradiometer (MODIS), BibRef

Peng, D.L.[Dai-Liang], Zhang, X.Y.[Xiao-Yang], Zhang, B.[Bing], Liu, L.Y.[Liang-Yun], Liu, X.J.[Xin-Jie], Huete, A.R.[Alfredo R.], Huang, W.J.[Wen-Jiang], Wang, S.Y.[Si-Yuan], Luo, S.Z.[She-Zhou], Zhang, X.[Xiao], Zhang, H.[Helin],
Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States,
PandRS(132), No. 1, 2017, pp. 185-198.
Elsevier DOI 1710
Spatial scale effect BibRef

Song, Y.[Yi], Jin, L.[Long], Wang, H.B.[Hai-Bo],
Vegetation Changes along the Qinghai-Tibet Plateau Engineering Corridor Since 2000 Induced by Climate Change and Human Activities,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Li, L.[Le], Zhao, Y.[Yaolong], Fu, Y.C.[Ying-Chun], Pan, Y.Z.[Yao-Zhong], Yu, L.[Le], Xin, Q.C.[Qin-Chuan],
High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Shang, R.[Rong], Liu, R.G.[Rong-Gao], Xu, M.[Mingzhu], Liu, Y.[Yang], Dash, J.[Jadunandun], Ge, Q.S.[Quan-Sheng],
Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef
And: Correction: RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
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Wongsai, N.[Noppachai], Wongsai, S.[Sangdao], Huete, A.R.[Alfredo R.],
Annual Seasonality Extraction Using the Cubic Spline Function and Decadal Trend in Temporal Daytime MODIS LST Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Colditz, R.R.,
Mapping of season length anomalies in Mexico,
MultiTemp17(1-4)
IEEE DOI 1712
time series, vegetation mapping, MODIS vegetation index, Mexico, annual vegetation period, broad-scale ecological differences, vegetation phenology BibRef

Hu, L.[Ling], Fan, W.J.[Wen-Jie], Ren, H.Z.[Hua-Zhong], Liu, S.[Suhong], Cui, Y.[Yaokui], Zhao, P.[Peng],
Spatiotemporal Dynamics in Vegetation GPP over the Great Khingan Mountains Using GLASS Products from 1982 to 2015,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Löw, F.[Fabian], Prishchepov, A.V.[Alexander V.], Waldner, F.[François], Dubovyk, O.[Olena], Akramkhanov, A.[Akmal], Biradar, C.[Chandrashekhar], Lamers, J.P.A.[John P. A.],
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Arjasakusuma, S.[Sanjiwana], Yamaguchi, Y.S.[Yasu-Shi], Hirano, Y.[Yasuhiro], Zhou, X.[Xiang],
ENSO- and Rainfall-Sensitive Vegetation Regions in Indonesia as Identified from Multi-Sensor Remote Sensing Data,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Jönsson, P.[Per], Cai, Z.Z.[Zhan-Zhang], Melaas, E.[Eli], Friedl, M.A.[Mark A.], Eklundh, L.[Lars],
A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Pan, Z.X.[Zeng-Xin], Mao, F.Y.[Fei-Yue], Wang, W.[Wei], Zhu, B.[Bo], Lu, X.[Xin], Gong, W.[Wei],
Impacts of 3D Aerosol, Cloud, and Water Vapor Variations on the Recent Brightening during the South Asian Monsoon Season,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Zhao, H.T.[Hao-Teng], Ma, Y.[Yong], Chen, F.[Fu], Liu, J.B.[Jian-Bo], Jiang, L.Y.[Li-Yuan], Yao, W.[Wutao], Yang, J.[Jin],
Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Pouteau, R.[Robin], Gillespie, T.W.[Thomas W.], Birnbaum, P.[Philippe],
Predicting Tropical Tree Species Richness from Normalized Difference Vegetation Index Time Series: The Devil Is Perhaps Not in the Detail,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Wei, H.[Hong], Zhao, X.[Xiang], Liang, S.L.[Shun-Lin], Zhou, T.[Tao], Wu, D.H.[Dong-Hai], Tang, B.[Bijian],
Effects of Warming Hiatuses on Vegetation Growth in the Northern Hemisphere,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Kennedy, R.E.[Robert E.], Yang, Z.Q.[Zhi-Qiang], Gorelick, N.[Noel], Braaten, J.[Justin], Cavalcante, L.[Lucas], Cohen, W.B.[Warren B.], Healey, S.[Sean],
Implementation of the LandTrendr Algorithm on Google Earth Engine,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
LandTrendr: analysis of change in Landsat time series data. Apply to Google Earth data. BibRef

He, D.[Dong], Yi, G.H.[Gui-Hua], Zhang, T.B.[Ting-Bin], Miao, J.Q.[Jia-Qing], Li, J.J.[Jing-Ji], Bie, X.J.[Xiao-Juan],
Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Alam, M.J.[Md Jahangir], Ercan, M.B.[Mehmet B.], Zahura, F.T.[Faria Tuz], Goodall, J.L.[Jonathan L.],
Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolina,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhang, L.J.[Li-Juan], Wang, C.Z.[Cui-Zhen], Li, X.X.[Xia-Xiang], Zhang, H.W.[Hong-Wen], Li, W.L.[Wen-Liang], Jiang, L.[Lanqi],
Impacts of Agricultural Expansion (1910s-2010s) on the Water Cycle in the Songneng Plain, Northeast China,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhong, Y., Yang, Y., Zhu, X., Huang, Y., Dutkiewicz, E., Zhou, Z., Jiang, T.,
Impact of Seasonal Variations on Foliage Penetration Experiment: A WSN-Based Device-Free Sensing Approach,
GeoRS(56), No. 9, September 2018, pp. 5035-5045.
IEEE DOI 1809
Feature extraction, Meteorology, Wireless sensor networks, Support vector machines, Sensors, Transceivers, Prototypes, support vector machine (SVM) BibRef

Nightingale, J.[Joanne], Boersma, K.F.[Klaas Folkert], Muller, J.P.[Jan-Peter], Compernolle, S.[Steven], Lambert, J.C.[Jean-Christopher], Blessing, S.[Simon], Giering, R.[Ralf], Gobron, N.[Nadine], De Smedt, I.[Isabelle], Coheur, P.[Pierre], George, M.[Maya], Schulz, J.[Jörg], Wood, A.[Alexander],
Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Dong, Y.D.[Ya-Dong], Jiao, Z.[Ziti], Yin, S.Y.[Si-Yang], Zhang, H.[Hu], Zhang, X.N.[Xiao-Ning], Cui, L.[Lei], He, D.[Dandan], Ding, A.[Anxin], Chang, Y.X.[Ya-Xuan], Yang, S.T.[Sheng-Tian],
Influence of Snow on the Magnitude and Seasonal Variation of the Clumping Index Retrieved from MODIS BRDF Products,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Jorgenson, J.C.[Janet C.], Jorgenson, M.T.[M. Torre], Boldenow, M.L.[Megan L.], Orndahl, K.M.[Kathleen M.],
Landscape Change Detected over a Half Century in the Arctic National Wildlife Refuge Using High-Resolution Aerial Imagery,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Guan, Q.Y.[Qing-Yu], Yang, L.Q.[Li-Qin], Pan, N.H.[Ning-Hui], Lin, J.K.[Jin-Kuo], Xu, C.Q.[Chuan-Qi], Wang, F.F.[Fei-Fei], Liu, Z.[Zeyu],
Greening and Browning of the Hexi Corridor in Northwest China: Spatial Patterns and Responses to Climatic Variability and Anthropogenic Drivers,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Zhong, C.[Cheng], Wang, C.Z.[Cui-Zhen], Li, H.[Hui], Chen, W.L.[Wen-Long], Hou, Y.[Yong],
Mapping Inter-Annual Land Cover Variations Automatically Based on a Novel Sample Transfer Method,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Li, L.H.[Lan-Hui], Zhang, Y.L.[Yi-Li], Liu, L.S.[Lin-Shan], Wu, J.S.[Jian-Shuang], Wang, Z.F.[Zhao-Feng], Li, S.C.[Shi-Cheng], Zhang, H.M.[Hua-Min], Zu, J.X.[Jia-Xing], Ding, M.J.[Ming-Jun], Paudel, B.[Basanta],
Spatiotemporal Patterns of Vegetation Greenness Change and Associated Climatic and Anthropogenic Drivers on the Tibetan Plateau during 2000-2015,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Islam, S.[Shahidul], Ma, M.[Mingguo],
Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics in the Southeastern Region of Bangladesh from 2001 to 2016,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Xu, G.[Guang], Chen, B.[Baozhang],
Generating a series of land covers by assimilating the existing land cover maps,
PandRS(147), 2019, pp. 206-214.
Elsevier DOI 1901
Land cover, Land cover change, Time series, Data assimilation, Data assimilation framework BibRef

Hao, P.Y.[Peng-Yu], Löw, F.[Fabian], Biradar, C.[Chandrashekhar],
Annual Cropland Mapping Using Reference Landsat Time Series: A Case Study in Central Asia,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Ziliani, M.G.[Matteo G.], Parkes, S.D.[Stephen D.], Hoteit, I.[Ibrahim], McCabe, M.F.[Matthew F.],
Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Wen, Y.Q.[Ye-Qiang], Shang, S.[Songhao], Rahman, K.U.[Khalil Ur],
Pre-Constrained Machine Learning Method for Multi-Year Mapping of Three Major Crops in a Large Irrigation District,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Tall, M.[Moustapha], Albergel, C.[Clément], Bonan, B.[Bertrand], Zheng, Y.J.[Yong-Jun], Guichard, F.[Françoise], Dramé, M.S.[Mamadou Simina], Gaye, A.T.[Amadou Thierno], Sintondji, L.O.[Luc Olivier], Hountondji, F.C.C.[Fabien C. C.], Nikiema, P.M.[Pinghouinde Michel], Calvet, J.C.[Jean-Christophe],
Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Motteler, H.E., Strow, L.L.,
AIRS Deconvolution and the Translation of AIRS-to-CrIS Radiances With Applications for the IR Climate Record,
GeoRS(57), No. 3, March 2019, pp. 1793-1803.
IEEE DOI 1903
atmospheric techniques, calibration, deconvolution, diffraction gratings, infrared spectrometers, spectral response function BibRef

Bueno, I.T.[Inacio T.], Júnior, F.W.A.[Fausto W. Acerbi], Silveira, E.M.O.[Eduarda M. O.], Mello, J.M.[José M.], Carvalho, L.M.T.[Luís M. T.], Gomide, L.R.[Lucas R.], Withey, K.[Kieran], Scolforo, J.R.S.[José Roberto S.],
Object-Based Change Detection in the Cerrado Biome Using Landsat Time Series,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhao, Y.Y.[Yuan-Yuan], Feng, D.[Duole], Yu, L.[Le], Cheng, Y.[Yuqi], Zhang, M.[Meinan], Liu, X.[Xiaoxuan], Xu, Y.[Yidi], Fang, L.[Lei], Zhu, Z.[Zhiliang], Gong, P.[Peng],
Long-Term Land Cover Dynamics (1986-2016) of Northeast China Derived from a Multi-Temporal Landsat Archive,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Egorov, A.V.[Alexey V.], Roy, D.P.[David P.], Zhang, H.K.[Hankui K.], Li, Z.[Zhongbin], Yan, L.[Lin], Huang, H.[Haiyan],
Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, J.[Jian], Wu, C.[Chaoyang], Wang, X.Y.[Xiao-Yue], Zhang, X.Y.[Xiao-Yang],
A new algorithm for the estimation of leaf unfolding date using MODIS data over China's terrestrial ecosystems,
PandRS(149), 2019, pp. 77-90.
Elsevier DOI 1903
Remote sensing, Spring phenology, EVI2, Preseason temperature, PFT BibRef

Pareeth, S.[Sajid], Karimi, P.[Poolad], Shafiei, M.[Mojtaba], De Fraiture, C.[Charlotte],
Mapping Agricultural Landuse Patterns from Time Series of Landsat 8 Using Random Forest Based Hierarchial Approach,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Hu, Y.F.[Yun-Feng], Hu, Y.[Yang],
Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Merchant, C.J.[Christopher J.], Holl, G.[Gerrit], Mittaz, J.P.D.[Jonathan P. D.], Woolliams, E.R.[Emma R.],
Radiance Uncertainty Characterisation to Facilitate Climate Data Record Creation,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, G.[Guan], Wang, P.[Ping], Wang, T.Y.[Tian-Ye], Zhang, Y.C.[Yi-Chi], Yu, J.J.[Jing-Jie], Ma, N.[Ning], Frolova, N.L.[Natalia L.], Liu, C.M.[Chang-Ming],
Contrasting Changes in Vegetation Growth due to Different Climate Forcings over the Last Three Decades in the Selenga-Baikal Basin,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, G.D.[Guo-Dong], Zhou, H.M.[Hong-Min], Wang, C.J.[Chang-Jing], Xue, H.Z.[Hua-Zhu], Wang, J.D.[Jin-Di], Wan, H.[Huawei],
Time Series High-Resolution Land Surface Albedo Estimation Based on the Ensemble Kalman Filter Algorithm,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Abdullah, A.Y.M.[Abu Yousuf Md], Masrur, A.[Arif], Adnan, M.S.G.[Mohammed Sarfaraz Gani], Baky, M.A.A.[Md. Abdullah Al], Hassan, Q.K.[Quazi K.], Dewan, A.[Ashraf],
Spatio-Temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Giering, R.[Ralf], Quast, R.[Ralf], Mittaz, J.P.D.[Jonathan P. D.], Hunt, S.E.[Samuel E.], Harris, P.M.[Peter M.], Woolliams, E.R.[Emma R.], Merchant, C.J.[Christopher J.],
A Novel Framework to Harmonise Satellite Data Series for Climate Applications,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Viana, C.M.[Cláudia M.], Girão, I.[Inês], Rocha, J.[Jorge],
Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Zhu, L.H.[Li-Hong], Liu, X.G.[Xian-Gnan], Wu, L.[Ling], Tang, Y.[Yibo], Meng, Y.Y.[Yuan-Yuan],
Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Li, Y.[Yang], Xie, Z.[Zhixiang], Qin, Y.[Yaochen], Zheng, Z.[Zhicheng],
Estimating Relations of Vegetation, Climate Change, and Human Activity: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone, China,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Ye, Z.X.[Zu-Xin], Cheng, W.M.[Wei-Ming], Zhao, Z.Q.[Zhi-Qi], Guo, J.Y.[Jian-Yang], Ding, H.[Hu], Wang, N.[Nan],
Interannual and Seasonal Vegetation Changes and Influencing Factors in the Extra-High Mountainous Areas of Southern Tibet,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Lang, W.G.[Wei-Guang], Chen, X.Q.[Xiao-Qiu], Liang, L.[Liang], Ren, S.L.[Shi-Long], Qian, S.W.[Si-Wei],
Geographic and Climatic Attributions of Autumn Land Surface Phenology Spatial Patterns in the Temperate Deciduous Broadleaf Forest of China,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Qiu, C.P.[Chun-Ping], Mou, L.[Lichao], Schmitt, M.[Michael], Zhu, X.X.[Xiao Xiang],
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network,
PandRS(154), 2019, pp. 151-162.
Elsevier DOI 1907
Land cover, Local climate zones (LCZs), Sentinel-2, Multi-seasonal, Recurrent neural network (RNN) BibRef

Zhang, F.Y.[Feng-Ying], Zhang, Z.X.[Zeng-Xin], Kong, R.[Rui], Chang, J.[Juan], Tian, J.X.[Jia-Xi], Zhu, B.[Bin], Jiang, S.S.[Shan-Shan], Chen, X.[Xi], Xu, C.Y.[Chong-Yu],
Changes in Forest Net Primary Productivity in the Yangtze River Basin and Its Relationship with Climate Change and Human Activities,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Xu, X.J.[Xiao-Juan], Liu, H.Y.[Hui-Yu], Lin, Z.S.[Zhen-Shan], Jiao, F.S.[Fu-Sheng], Gong, H.B.[Hai-Bo],
Relationship of Abrupt Vegetation Change to Climate Change and Ecological Engineering with Multi-Timescale Analysis in the Karst Region, Southwest China,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Zhao, J.[Jing], Huang, S.[Shengzhi], Huang, Q.A.[Qi-Ang], Wang, H.[Hao], Leng, G.[Guoyong], Peng, J.[Jian], Dong, H.X.[Hai-Xia],
Copula-Based Abrupt Variations Detection in the Relationship of Seasonal Vegetation-Climate in the Jing River Basin, China,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Jaud, M.[Marion], Delacourt, C.[Christophe], Dantec, N.L.[Nicolas Le], Allemand, P.[Pascal], Ammann, J.[Jérôme], Grandjean, P.[Philippe], Nouaille, H.[Henri], Prunier, C.[Christophe], Cuq, V.[Véronique], Augereau, E.[Emmanuel], Cocquempot, L.[Lucie], Floc'h, F.[France],
Diachronic UAV Photogrammetry of a Sandy Beach in Brittany (France) for a Long-Term Coastal Observatory,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Sarda-Estève, R.[Roland], Baisnée, D.[Dominique], Guinot, B.[Benjamin], Sodeau, J.[John], O'Connor, D.[David], Belmonte, J.[Jordina], Besancenot, J.P.[Jean-Pierre], Petit, J.E.[Jean-Eudes], Thibaudon, M.[Michel], Oliver, G.[Gilles], Sindt, C.[Charlotte], Gros, V.[Valérie],
Variability and Geographical Origin of Five Years Airborne Fungal Spore Concentrations Measured at Saclay, France from 2014 to 2018,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Kong, D.D.[Dong-Dong], Zhang, Y.Q.[Yong-Qiang], Gu, X.H.[Xi-Hui], Wang, D.G.[Da-Gang],
A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine,
PandRS(155), 2019, pp. 13-24.
Elsevier DOI 1908
EVI: enhanced vegetation index. Remote sensing vegetation index, EVI, Time series reconstruction, Whittaker, Google Earth Engine BibRef

Jamali, A.,
A Fit-for-purpose Algorithm for Environmental Monitoring Based On Maximum Likelihood, Support Vector Machine and Random Forest,
Environmental19(25-32).
DOI Link 1904
BibRef

Wan Mohamed Rani, W.N.M., Kamarudin, K.H., Razak, K.A., Hasan, R.C., Mohamad, Z.,
Measuring Urban Resilience Using Climate Disaster Resilience Index (CDRI),
GeoDisast18(237-242).
DOI Link 1901
BibRef

Vizilter, Y.V., Rubis, A.Y., Zheltov, S.Y.,
Change Detection Via Selective Guided Contrasting Filters,
Hannover17(403-410).
DOI Link 1805
BibRef

Valizadeh Kamran, K., Khorrami, B.,
Change Detection and Prediction of Urmia Lake and its Surrounding Environment During the Past 60 Years Applying Geobased Remote Sensing Analysis,
Gi4DM18(519-525).
DOI Link 1805
BibRef

Kristóf, D., Belényesi, M., Olasz, A.,
Retrospective analysis of long-term landscape evolution based on archive satellite imagery and historical maps,
MultiTemp17(1-4)
IEEE DOI 1712
ecology, remote sensing, historical maps, landscape features, local ecosystems, time series BibRef

Vaduva, C., Danisor, C., Datcu, M.,
Temporal analysis of SAR imagery for permanent and evolving Earth land cover behavior assessment,
MultiTemp17(1-4)
IEEE DOI 1712
land cover, Earth Observation data collections, Earth land cover behavior assessment, categories of evolution BibRef

Espinoza-Molina, D., Bahmanyar, R., Datcu, M., Díaz-Delgado, R., Bustamante, J.,
Land-cover evolution class analysis in Image Time Series of Landsat and Sentinel-2 based on Latent Dirichlet Allocation,
MultiTemp17(1-4)
IEEE DOI 1712
geophysical image processing, land cover, terrain mapping, time series, vegetation, vegetation mapping, Donana National Park, Visualization BibRef

Miralles, D.G., Demuzere, M., Verhoest, N.E.C., Dorigo, W.A., Papagiannopoulou, C., Decubber, S., Waegeman, W.,
A non-linear data-driven approach to reveal global vegetation sensitivity to climate,
MultiTemp17(1-3)
IEEE DOI 1712
climatology, vegetation, Granger causality framework, benchmark climate model representation, climate drivers, water stress BibRef

Claessen, J., Martens, B., Verhoest, N.E.C., Molini, A., Miralles, D.G.,
Global climatic drivers of vegetation based on wavelet analysis,
MultiTemp17(1-3)
IEEE DOI 1712
atmospheric optics, atmospheric precipitation, atmospheric radiation, atmospheric temperature, climatology, Wavelet transforms BibRef

Saunier, S., Northrop, A., Lavender, S., Galli, L., Ferrara, R., Mica, S., Biasutti, R., Goryl, P., Gascon, F., Meloni, M., Desclee, B., Altena, B.,
European Space agency (ESA) Landsat MSS/TM/ETM+/OLI archive: 42 years of our history,
MultiTemp17(1-9)
IEEE DOI 1712
glaciology, remote sensing, snow, Continental Europe, ESA Multi Spectral Scanner products, time-series BibRef

Das, M.[Monidipa], Ghosh, S.K.[Soumya K.],
Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN),
PReMI17(615-622).
Springer DOI 1711
BibRef

Rashid, R.A.A.[Rabiatul A. A.], Nohuddin, P.N.E.[Puteri N. E.], Zainol, Z.[Zuraini],
Association Rule Mining Using Time Series Data for Malaysia Climate Variability Prediction,
IVIC17(120-130).
Springer DOI 1711
BibRef

Poenaru, V.D., Negula, I.F.D.[I. F. Dana], Badea, A., Cuculici, R.,
Environmental Impact Assessment Of Rosia Jiu Opencast Area Using An Integrated Sar Analysis,
ISPRS16(B8: 151-155).
DOI Link 1610
BibRef

Vitkovskaya, I., Batyrbayeva, M., Spivak, L.,
The Estimate Of The Spatial-temporal Features Of Vegetation Cover Of Kazakhstan Based On Time Series Satellite Indeces In 2000-2015,
ISPRS16(B8: 1067-1071).
DOI Link 1610
BibRef

Ždímal, V.,
Changes In Scattered Greenery In Selected Area In The Czech Republic From 1953 To 2014,
ISPRS16(B8: 1097-1101).
DOI Link 1610
BibRef

Bechtel, B.,
The Climate Of The Canary Islands By Annual Cycle Parameters,
ISPRS16(B8: 243-250).
DOI Link 1610
BibRef

Broich, M., Tulbure, M.G.,
Response Of Riparian Vegetation In Australia's Largest River Basin To Inter And Intra-annual Climate Variability And Flooding As Quantified With Landsat And Modis,
ISPRS16(B8: 577-578).
DOI Link 1610
BibRef

Hirayama, H.[Hidetake], Tomita, M.[Mizuki], Hara, K.[Keitarou],
Prediction Of Changes In Vegetation Distribution Under Climate Change Scenarios Using MODIS Dataset,
ISPRS16(B8: 883-887).
DOI Link 1610
BibRef

Huang, F., Wen, D.H., Wang, P.,
Vegetation Changes And The Relationship With Climate Variability In The Upper And Middle Reaches Of The Nenjiang River Basin, China,
ISPRS16(B8: 889-895).
DOI Link 1610
BibRef

Kirtiloglu, O.S., Orhan, O., Ekercin, S.,
A Map Mash-up Application: Investigation The Temporal Effects Of Climate Change On Salt Lake Basin,
ISPRS16(B4: 221-226).
DOI Link 1610
BibRef

Oo, K.S.[Kyaw Sann],
Relationship Between Climate Change Impact, Migration And Socioeconomic Development,
ISPRS16(B4: 743-746).
DOI Link 1610
BibRef

Kristof, D.,
An alternative representation of coarse-resolution remote sensing images for time-series processing,
MultiTemp15(1-4)
IEEE DOI 1511
agriculture BibRef

Forster, M., Schmidt, T., Gartner, P., Kleinschmit, B., Gao, F.[Feng], Moller, M.,
Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany,
MultiTemp15(1-4)
IEEE DOI 1511
geophysical image processing BibRef

Rejichi, S., Chaabane, F.,
Satellite image time series classification and analysis using an adapted graph labeling,
MultiTemp15(1-4)
IEEE DOI 1511
geophysical image processing BibRef

Julien, Y., Sobrino, J.A.,
Exploring the validity of the long term data record V4 database for land surface monitoring,
MultiTemp15(1-4)
IEEE DOI 1511
land surface temperature BibRef

Das, M., Ghosh, S.K.,
Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach,
ICAPR15(1-6)
IEEE DOI 1511
climatology BibRef

Prabhat, Byna, S.[Surendra], Vishwanath, V.[Venkatram], Dart, E.[Eli], Wehner, M.[Michael], Collins, W.D.[William D.],
TECA: Petascale Pattern Recognition for Climate Science,
CAIP15(II:426-436).
Springer DOI 1511
BibRef

Al-Dharhani, G.S.[Ghassan Saleh], Othman, Z.A.[Zulaiha Ali], Bakar, A.A.[Azuraliza Abu], Abdullah, S.M.S.[Sharifah Mastura Syed],
Fuzzy-Based Shapelets for Mining Climate Change Time Series Patterns,
IVIC15(38-50).
Springer DOI 1511
BibRef

Wang, S.D., Zhang, H.B., Wang, X.C.,
Analysis on the dynamic changes in a regional ecosystem and evaluation of its service values based on Remote Sensing,
IWIDF15(169-174).
DOI Link 1508
BibRef

Wu, P.S.[Ping-Sheng], Hsieh, C.M.[Chun-Ming], Hsu, M.F.[Min-Fu],
Using Heritage Risk Maps as an Approach for Estimating the Climate Impact to Cultural Heritage Materials in the Island of Taiwan,
EuroMed14(300-309).
Springer DOI 1412
BibRef

Kaasalainen, S., Hakala, T., Nevalainen, O., Puttonen, E., Anttila, K.,
Hyperspectral lidar in non-destructive 4D monitoring of climate variables,
Thematic14(109-111).
DOI Link 1404
BibRef

Torrusio, S., Lagerloef, G., Rabolli, M., Levine, D.,
SAC-D Aquarius A Satellite for Ocean, Climate and Environment: One Year of Data,
ISPRS12(XXXIX-B8:551-554).
DOI Link 1209
BibRef

Principe, J.A.,
Exploring Climate Change Effects On Watershed Sediment Yield And Land Cover-based Mitigation Measures Using Swat Model, Rs And Gis: Case Of Cagayan River Basin, Philippines,
ISPRS12(XXXIX-B8:193-198).
DOI Link 1209
BibRef

Tourre, Y.M., Lacaux, J.p., Vignolles, C., Lafaye, M.,
Remote Sensing In A Changing Climate and Environment: The Rift Valley Fever Case,
ISPRS12(XXXIX-B8:99-102).
DOI Link 1209
BibRef

Verger, A.[Aleixandre], Baret, F.[Frederic], Weiss, M.[Marie], Kandasamy, S.[Sivasathivel], Vermote, E.[Eric],
Quantification of LAI interannual anomalies by adjusting climatological patterns,
MultiTemp11(113-116).
IEEE DOI 1109
BibRef

Sobrino, J.A., Julien, Y., Mattar, C., Oltra-Carrio, R., Jimenez-Munoz, J.C., Soria, G., Franch, B., Hidalgo, V.,
Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation,
MultiTemp11(253-256).
IEEE DOI 1109
BibRef

Villarreal, M.L.[Miguel L.], Norman, L.M.[Laura M.], Webb, R.H.[Robert H.], Boyer, D.E.[Diane E.], Turner, R.M.[Raymond M.],
Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography,
MultiTemp11(101-104).
IEEE DOI 1109
BibRef

Adlakha, P.[Paul], Puestow, T.[Thomas], Power, D.[Desmond],
Polar View: a program to support climate change adaptation,
CGC10(166).
PDF File. 1006
BibRef

Wang, F.X.[Feng-Xia], Zhou, W.C.[Wan-Cun],
The Study on the Land Use/Land Cover Changes in Three Gorges Reservoir Region Based on RS and GIS in the Last Decade,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Drought Monitoring, Drought Analysis, Desertification .

Last update:Aug 20, 2019 at 20:38:45