Land Use Change Analysis

Chapter Contents (Back)
Land Use Change. Land Use. Change Detection. Temporal Analysis. Remote Sensing. Agricultural.
See also Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis.

Wade, T.G.[Timothy G.], Wickham, J.D.[James D.], Nash, M.S.[Maliha S.], Neale, A.C.[Anne C.], Riitters, K.H.[Kurt H.], Jones, K.B.[K. Bruce],
A Comparison of Vector and Raster GIS Methods for Calculating Landscape Metrics Used in Environmental Assessments,
PhEngRS(69), No. 12, December 2003, pp. 1399-1405.
WWW Link. 0401
A statistical analysis of the potential impact of processing methodology on environmental assessment results is presented. BibRef

Chen, J.[Jin], Gong, P.[Peng], He, C.Y.[Chun-Yang], Pu, R.L.[Rui-Liang], Shi, P.J.[Pei-Jun],
Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis,
PhEngRS(69), No. 4, April 2003, pp. 369-380.
WWW Link. 0304
The method consists of two stages, Double-Window Flexible Pace Search, which aims at determining the threshold of change magnitude, and direction cosines of change vectors, for determining change direction (category) that combines single-date image classification with a minimum-distance categorizing technique. BibRef

Chen, X.H.[Xue-Hong], Chen, J.[Jin], Shi, Y.S.[Yu-Sheng], Yamaguchi, Y.S.[Yasu-Shi],
An automated approach for updating land cover maps based on integrated change detection and classification methods,
PandRS(71), No. 1, July 2012, pp. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 71, July 2012, 86-95.
Elsevier DOI 1208
Land cover; Change detection; Classification; Iterated training sample selecting; Markov random fields BibRef

Chen, J.[Jun], Lu, M.[Miao], Chen, X.H.[Xue-Hong], Chen, J.[Jin], Chen, L.J.[Li-Jun],
A spectral gradient difference based approach for land cover change detection,
PandRS(85), No. 1, 2013, pp. 1-12.
Elsevier DOI 1310
Land cover BibRef

Recio, J.A., Hermosilla, T., Ruiz, L.A., Fernández-Sarría, A.,
Historical land use as a feature for image classification,
PhEngRS(77), No. 4, 2011, pp. 377-387. 1204

Li, A., Bian, J., Lei, G., Huang, C.,
Estimating the Maximal Light Use Efficiency for Different Vegetation through the CASA Model Combined with Time-Series Remote Sensing Data and Ground Measurements,
RS(4), No. 12, December 2012, pp. 3857-3876.
DOI Link 1211

Möller, M.[Markus], Birger, J.[Jens], Glässer, C.[Cornelia],
Geometric Accuracy Assessment of Classified Land Use / Land Cover Changes,
PFG(2014), No. 2, April 2014, pp. 91-100.
DOI Link 1405

Demšar, U.[Urška], Buchin, K.[Kevin], van Loon, E.E.[E. Emiel], Shamoun-Baranes, J.[Judy],
Stacked space-time densities: A geovisualisation approach to explore dynamics of space use over time,
GeoInfo(19), No. 1, January 2015, pp. 85-115.
WWW Link. 1503

Zanotta, D.C., Bruzzone, L.[Lorenzo], Bovolo, F.[Francesca], Shimabukuro, Y.E.,
An Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series,
GeoRS(53), No. 7, July 2015, pp. 3707-3719.
Dispersion BibRef

Löw, F.[Fabian], Conrad, C.[Christopher], Michel, U.[Ulrich],
Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data,
PandRS(108), No. 1, 2015, pp. 191-204.
Elsevier DOI 1511
Agricultural land use BibRef

Gil-Yepes, J.L.[Jose L.], Ruiz, L.A.[Luis A.], Recio, J.A.[Jorge A.], Balaguer-Beser, Á.[Ángel], Hermosilla, T.[Txomin],
Description and validation of a new set of object-based temporal geostatistical features for land-use/land-cover change detection,
PandRS(121), No. 1, 2016, pp. 77-91.
Elsevier DOI 1609
Feature extraction BibRef

Ding, Z.[Zhi], Liao, X.O.[Xia-Ohan], Su, F.Z.[Fen-Zhen], Fu, D.J.[Dong-Jie],
Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703

Samardžic-Petrovic, M.[Mileva], Kovacevic, M.[Miloš], Bajat, B.[Branislav], Dragicevic, S.[Suzana],
Machine Learning Techniques for Modelling Short Term Land-Use Change,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801

He, Y.Q.[Ya-Qian], Warner, T.A.[Timothy A.], McNeil, B.E.[Brenden E.], Lee, E.[Eungul],
Reducing Uncertainties in Applying Remotely Sensed Land Use and Land Cover Maps in Land-Atmosphere Interaction: Identifying Change in Space and Time,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Xing, J.[Jin], Sieber, R.[Renee], Caelli, T.[Terrence],
A scale-invariant change detection method for land use/cover change research,
PandRS(141), 2018, pp. 252-264.
Elsevier DOI 1806
Land use/cover change detection, Scale variance, Scale-invariant feature transformation, Cloud computing BibRef

Kang, X.C.[Xiao-Chen], Liu, J.P.[Ji-Ping], Dong, C.[Chun], Xu, S.H.[Sheng-Hua],
Using High-Performance Computing to Address the Challenge of Land Use/Land Cover Change Analysis on Spatial Big Data,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808

Saxena, R.[Rishu], Watson, L.T.[Layne T.], Wynne, R.H.[Randolph H.], Brooks, E.B.[Evan B.], Thomas, V.A.[Valerie A.], Zhiqiang, Y.[Yang], Kennedy, R.E.[Robert E.],
Towards a polyalgorithm for land use change detection,
PandRS(144), 2018, pp. 217-234.
Elsevier DOI 1809
Time series analysis, Remote sensing, Change detection, Scalable computing, Polyalgorithm BibRef

Li, Y.[Yang], Chen, J.[Jin], Rao, Y.H.[Yu-Han],
A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments,
PandRS(144), 2018, pp. 379-389.
Elsevier DOI 1809
Land use land cover change, Accuracy assessment, Transition accuracy, Sample design BibRef

Xu, E.Q.[Er-Qi], Zhang, H.Q.[Hong-Qi], Yao, L.[Lina],
An Elevation-Based Stratification Model for Simulating Land Use Change,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Liu, K.L.[Ke-Ling], Xu, E.Q.[Er-Qi],
Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101

Luo, K.S.[Kai-Sheng], Li, B.J.[Bing-Juan], Moiwo, J.P.[Juana P.],
Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Nguyen, L.H.[Lan H.], Henebry, G.M.[Geoffrey M.],
Characterizing Land Use/Land Cover Using Multi-Sensor Time Series from the Perspective of Land Surface Phenology,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Kang, J.F.[Jun-Feng], Fang, L.[Lei], Li, S.[Shuang], Wang, X.R.[Xiang-Rong],
Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910

Hao, Y.Z.[Yu-Zhu], Chen, Z.J.[Zhen-Jie], Huang, Q.H.[Qiu-Hao], Li, F.X.[Fei-Xue], Wang, B.B.[Bei-Bei], Ma, L.[Lei],
Bidirectional Segmented Detection of Land Use Change Based on Object-Level Multivariate Time Series,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Nath, B.[Biswajit], Wang, Z.H.[Zhi-Hua], Ge, Y.[Yong], Islam, K.[Kamrul], Singh, R.P.[Ramesh P.], Niu, Z.[Zheng],
Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003

Hütt, C.[Christoph], Waldhoff, G.[Guido], Bareth, G.[Georg],
Fusion of Sentinel-1 with Official Topographic and Cadastral Geodata for Crop-Type Enriched LULC Mapping Using FOSS and Open Data,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
Land Use/Cover Change BibRef

Diao, J.J.[Jiao-Jiao], Liu, J.X.[Jin-Xun], Zhu, Z.L.[Zhi-Liang], Li, M.S.[Ming-Shi], Sleeter, B.M.[Benjamin M.],
Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

Wang, M.C.[Ming-Chang], Zhang, H.M.[Hai-Ming], Sun, W.W.[Wei-Wei], Li, S.[Sheng], Wang, F.Y.[Feng-Yan], Yang, G.D.[Guo-Dong],
A Coarse-to-Fine Deep Learning Based Land Use Change Detection Method for High-Resolution Remote Sensing Images,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Cerrillo, R.M.N.[Rafael M. Navarro], Rodríguez, G.P.[Guillermo Palacios], Rumbao, I.C.[Inmaculada Clavero], Lara, M.Á.[Miguel Ángel], Bonet, F.J.[Francisco Javier], Mesas-Carrascosa, F.J.[Francisco-Javier],
Modeling Major Rural Land-Use Changes Using the GIS-Based Cellular Automata Metronamica Model: The Case of Andalusia (Southern Spain),
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007

Xie, Z.Y.[Zhe-Yu], Pontius, Jr., R.G.[Robert Gilmore], Huang, J.L.[Jin-Liang], Nitivattananon, V.[Vilas],
Enhanced Intensity Analysis to Quantify Categorical Change and to Identify Suspicious Land Transitions: A Case Study of Nanchang, China,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
Size and intensity of the change. BibRef

Khoshnoodmotlagh, S.[Sajad], Verrelst, J.[Jochem], Daneshi, A.[Alireza], Mirzaei, M.[Mohsen], Azadi, H.[Hossein], Haghighi, M.[Mohammad], Hatamimanesh, M.[Masoud], Marofi, S.[Safar],
Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Santos, L.A.[Lorena Alves], Ferreira, K.[Karine], Picoli, M.[Michelle], Camara, G.[Gilberto], Zurita-Milla, R.[Raul], Augustijn, E.W.[Ellen-Wien],
Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Gargees, R.S.[Rasha S.], Scott, G.J.[Grant J.],
Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Xu, Q.L.[Quan-Li], Wang, Q.[Qing], Liu, J.[Jing], Liang, H.[Hong],
Simulation of Land-Use Changes Using the Partitioned ANN-CA Model and Considering the Influence of Land-Use Change Frequency,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106

Castanho, R.A.[Rui Alexandre], Gomez, J.M.N.[José Manuel Naranjo], Vulevic, A.[Ana], Couto, G.[Gualter],
The Land-Use Change Dynamics Based on the CORINE Data in the Period 1990-2018 in the European Archipelagos of the Macaronesia Region: Azores, Canary Islands, and Madeira,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106

Jin, M.[Min], Feng, R.[Ruyi], Wang, L.Z.[Li-Zhe], Yan, J.[Jining],
A Study of Diffusion Equation-Based Land-Use/Land-Cover Change Simulation,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106

Din, S.U.[Shaker Ul], Mak, H.W.L.[Hugo Wai Leung],
Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Yan, J.F.[Jin-Feng], Xiao, R.M.[Rui-Ming], Su, F.Z.[Fen-Zhen], Bai, J.B.[Jin-Biao], Jia, F.X.[Fei-Xue],
Impact of Port Construction on the Spatial Pattern of Land Use in Coastal Zones Based on CLDI and LUT Models: A Case Study of Qingdao and Yantai,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
Coastline and Land Development Intensity (CLDI). Land Use Transfer (LUT) model. BibRef

Mandarino, A.[Andrea], Pepe, G.[Giacomo], Cevasco, A.[Andrea], Brandolini, P.[Pierluigi],
Quantitative Assessment of Riverbed Planform Adjustments, Channelization, and Associated Land Use/Land Cover Changes: The Ingauna Alluvial-Coastal Plain Case (Liguria, Italy),
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109

Maniatis, D.[Danae], Dionisio, D.[Daniel], Guarnieri, L.[Laura], Marchi, G.[Giulio], Mollicone, D.[Danilo], Morales, C.[Carmen], Díaz, A.S.P.[Alfonso Sanchez-Paus],
Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112

Ye, J.Z.[Jun-Zhi], Hu, Y.F.[Yun-Feng], Zhen, L.[Lin], Wang, H.[Hao], Zhang, Y.X.[Yu-Xin],
Analysis on Land-Use Change and Its Driving Mechanism in Xilingol, China, during 2000-2020 Using the Google Earth Engine,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112

Wang, Y.F.[Yi-Fang], Liu, D.[Di], Zhang, F.[Fushan], Zhang, Q.L.[Qing-Ling],
Monitoring the Spatio-Temporal Dynamics of Shale Oil/Gas Development with Landsat Time Series: Case Studies in the USA,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Dubertret, F.[Fabrice], Tourneau, F.M.L.[François-Michel Le], Villarreal, M.L.[Miguel L.], Norman, L.M.[Laura M.],
Monitoring Annual Land Use/Land Cover Change in the Tucson Metropolitan Area with Google Earth Engine (1986-2020),
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205

Basheer, S.[Sana], Wang, X.Q.[Xiu-Quan], Farooque, A.A.[Aitazaz A.], Nawaz, R.A.[Rana Ali], Liu, K.[Kai], Adekanmbi, T.[Toyin], Liu, S.[Suqi],
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Alam, K.F.[Kazi Faiz], Ahamed, T.[Tofael],
Assessment of Land Use Land Cover Changes for Predicting Vulnerable Agricultural Lands in River Basins of Bangladesh Using Remote Sensing and a Fuzzy Expert System,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Zullo, F.[Francesco], Montaldi, C.[Cristina], di Pietro, G.[Gianni], Cattani, C.[Chiara],
Land Use Changes and Ecosystem Services: The Case Study of the Abruzzo Region Coastal Strip,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301

Marques-Carvalho, R.[Rômulo], de Almeida, C.M.[Cláudia Maria], Escobar-Silva, E.V.[Elton Vicente], de Oliveira-Alves, R.B.[Rayanna Barroso], dos Anjos-Lacerda, C.S.[Camila Souza],
Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Yi, F.[Fan], Yang, Q.[Qiankun], Wang, Z.J.[Zhong-Jing], Li, Y.H.[Yong-Hua], Cheng, L.L.[Lei-Lei], Yao, B.[Bin], Lu, Q.[Qi],
Changes in Land Use and Ecosystem Service Values of Dunhuang Oasis from 1990 to 2030,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302

Piao, Y.[Yong], Xiao, Y.[Yi], Ma, F.[Fengdi], Park, S.J.[Sang-Jin], Lee, D.K.[Dong-Kun], Mo, Y.[Yongwon], Jeong, S.[Seunggyu], Hwang, I.[Injae], Kim, Y.J.[Yu-Jin],
Monitoring Land Use/Land Cover and Landscape Pattern Changes at a Local Scale: A Case Study of Pyongyang, North Korea,
RS(15), No. 6, 2023, pp. 1592.
DOI Link 2304

Hao, J.M.[Jun-Ming], Lin, Q.R.[Qing-Run], Wu, T.[Tonghua], Chen, J.[Jie], Li, W.P.[Wang-Ping], Wu, X.D.[Xiao-Dong], Hu, G.J.[Guo-Jie], La, Y.[Yune],
Spatial-Temporal and Driving Factors of Land Use/Cover Change in Mongolia from 1990 to 2021,
RS(15), No. 7, 2023, pp. 1813.
DOI Link 2304

Al-Kindi, K.M.[Khalifa M.], Alqurashi, A.F.[Abdullah F.], Al-Ghafri, A.[Abdullah], Power, D.[Dennis],
Assessing the Impact of Land Use and Land Cover Changes on Aflaj Systems over a 36-Year Period,
RS(15), No. 7, 2023, pp. 1787.
DOI Link 2304

Liao, J.F.[Jiang-Fu], Tang, L.[Lina], Shao, G.F.[Guo-Fan],
Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways,
RS(15), No. 8, 2023, pp. 2142.
DOI Link 2305

Zhang, Z.Y.[Zhen-Yu], Hörmann, G.[Georg], Huang, J.L.[Jin-Liang], Fohrer, N.[Nicola],
A Random Forest-Based CA-Markov Model to Examine the Dynamics of Land Use/Cover Change Aided with Remote Sensing and GIS,
RS(15), No. 8, 2023, pp. 2128.
DOI Link 2305

Lahon, D.[Durlov], Sahariah, D.[Dhrubajyoti], Debnath, J.[Jatan], Nath, N.[Nityaranjan], Meraj, G.[Gowhar], Kumar, P.[Pankaj], Hashimoto, S.[Shizuka], Farooq, M.[Majid],
Assessment of Ecosystem Service Value in Response to LULC Changes Using Geospatial Techniques: A Case Study in the Merbil Wetland of the Brahmaputra Valley, Assam, India,
IJGI(12), No. 4, 2023, pp. 165.
DOI Link 2305

Liu, J.Y.[Jing-Yi], Zhou, Y.[Yong], Wang, L.[Li], Zuo, Q.[Qian], Li, Q.[Qing], He, N.[Nan],
Spatiotemporal Analysis and Multi-Scenario Prediction of Ecosystem Services Based on Land Use/Cover Change in a Mountain-Watershed Region, China,
RS(15), No. 11, 2023, pp. 2759.
DOI Link 2306

Kou, J.[Jing], Wang, J.J.[Jin-Jie], Ding, J.[Jianli], Ge, X.Y.[Xiang-Yu],
Spatial Simulation and Prediction of Land Use/Land Cover in the Transnational Ili-Balkhash Basin,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Xie, Y.Y.[Yu-Yang], Zhu, Q.C.[Qiu-Chen], Bai, H.[Hua], Luo, P.P.[Ping-Ping], Liu, J.[Jifa],
Spatio-Temporal Evolution and Coupled Coordination of LUCC and ESV in Cities of the Transition Zone, Shenmu City, China,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
Land-Use/Land Cover Change. BibRef

Chen, H.M.[Hao-Ming], Dong, N.[Na], Liang, X.[Xun], Huang, H.[Huabing],
Spatiotemporal Evaluation of Regional Land Use Dynamics and Its Potential Ecosystem Impact under Carbon Neutral Pathways in the Guangdong-Hong Kong-Macao Greater Bay Area,
RS(15), No. 24, 2023, pp. 5749.
DOI Link 2401

Liu, M.H.[Ming-Hao], Luo, Q.X.[Qing-Xi], Wang, J.X.[Jian-Xiang], Sun, L.B.[Ling-Bo], Xu, T.T.[Ting-Ting], Wang, E.[Enming],
VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy,
IJGI(13), No. 3, 2024, pp. 100.
DOI Link 2404

Ye, Q.[Qin], Zhang, X.X.[Xiao-Xiao], Jiang, X.Q.[Xue-Qin], Huang, Q.Y.[Qiong-Yi],
Middle Resolution Remote Sensing Image Change Detection Based on Vector Analysis of Midline Change,
DOI Link 2012

Mondal, M.S., Sharma, N., Kappas, M., Garg, P.K.,
CA Markov Modeling of Land Use Land Cover Change Predictions and Effect Of Numerical Iterations, Image Interval (time Steps) on Prediction Results,
DOI Link 2012

Qu, W., Yao, Y., Pang, Z., Lu, J., Yang, K., Li, X., Li, L., Jiang, W., Fu, J., Lei, T.,
Analysis of Land Use Change In Inner Mongolia Region From 1978 to 2018 Based on Remote Sensing,
DOI Link 2012

Girres, J.F.,
Land-use Dynamics Analysis Based on Spatial Interactions Models And Satellite Images Time-series,
DOI Link 2012

Çolak, E., Chandra, M., Sunar, F.,
The Use of Multi-temporal Sentinel Satellites in The Analysis of Land Cover/land Use Changes Caused By The Nuclear Power Plant Construction,
DOI Link 1912

Surabuddin Mondal, M., Sharma, N., Kappas, M., Garg, P.K.,
CA Markov Modeling of Land Use Land Cover Dynamics and Sensitivity Analysis to Identify Sensitive Parameter(s),
DOI Link 1912

Osis, R., Laurent, F., Poccard-Chapuis, R.,
Spatial relationships between natural resources and land use dynamics in the Amazonian agricultural frontier,
agriculture, geomorphology, land use, natural resources, soil, topography (Earth), amazonian agricultural frontier, Natural resources BibRef

Mas, J.F., González, R.,
Change Detection and Land Use: Land Cover Database Updating Using Image Segmentation, GIS Analysis and Visual Interpretation,
DOI Link 1602

Mas, J.F., Soares-Filho, B., Rodrigues, H.,
Calibrating Cellular Automata of Land Use/Cover Change Models Using a Genetic Algorithm,
DOI Link 1602

Qin, Y.[Ye], Liling, H., Min, Y.[Ying], Yi, L.[Lin],
Researches on the Land-Use Change Detection of Mine Area Based on TM/ETM Images,
DOI Link 1311

Cockx, K., van de Voorde, T., Canters, F., Poelmans, L., Uljee, I., Engelen, G., de Jong, K., Karssenberg, D., van der Kwast, J.,
Incorporating Land-Use Mapping Uncertainty in Remote Sensing Based Calibration of Land-Use Change Models,
DOI Link 1311

Piqueras-Salazar, I.[Ignacio], García-Sevilla, P.[Pedro],
Fusion of Multi-temporal and Multi-sensor Hyperspectral Data for Land-Use Classification,
Springer DOI 1307

Setiawan, Y., Yoshino, K.,
Change Detection in Land-Use and Land-Cover Dynamics at a Regional Scale from Modis Time-Series Imagery,
AnnalsPRS(I-7), No. 2012, pp. 243-248.
DOI Link 1209

Su, X.Q.[Xiang-Qin], Wu, W.B.[Wen-Bo], Li, H.T.[Hai-Tao], Han, Y.S.[Yan-Shun],
Land-Use and Land-Cover Change Detection Based on Object-Oriented Theory,

Wei, X.H.[Xian-Hu], Zhang, Z.X.[Zeng-Xiang], Zhao, X.L.[Xiao-Li], Liu, B.[Bin], Liu, F.[Fang],
Feasibility Analysis of Automatic Classification on Land Use Change Dynamic Monitoring,

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Plant Disease Analysis, General Plant Diseasses .

Last update:May 6, 2024 at 15:50:14