Land Use Change Analysis

Chapter Contents (Back)
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

Bellón, B.[Beatriz], Bégué, A.[Agnčs], Lo Seen, D.[Danny], de Almeida, C.A.[Claudio Aparecido], Simőes, M.[Margareth],
A Remote Sensing Approach for Regional-Scale Mapping of Agricultural Land-Use Systems Based on NDVI Time Series,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706

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.[Yaqian], 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.[Yuhan],
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

Hu, Y.F.[Yun-Feng], Dong, Y.[Yu], Batunacun,
An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support,
PandRS(146), 2018, pp. 347-359.
Elsevier DOI 1812
Automatic update, Change detection, Land use/land cover, Time-series analysis 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

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, H.[Ho], Hölzel, N.[Norbert], Völker, A.[Andreas], Kamp, J.[Johannes],
Patterns and Determinants of Post-Soviet Cropland Abandonment in the Western Siberian Grain Belt,
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

Sun, J.[Jing], Ongsomwang, S.[Suwit],
Multitemporal Land Use and Land Cover Classification from Time-Series Landsat Datasets Using Harmonic Analysis with a Minimum Spectral Distance Algorithm,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003

Nath, B.[Biswajit], Wang, Z.[Zhihua], 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

Yoon, H.[Heeyeun], Kim, S.[Soyoun],
Detecting abandoned farmland using harmonic analysis and machine learning,
PandRS(166), 2020, pp. 201-212.
Elsevier DOI 2007
Detecting abandoned farmland, Harmonic analysis, Support Vector Machine BibRef

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,
HTML Version. 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,
HTML Version. 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.
HTML Version. 1209

Su, X.Q.[Xiang-Qin], Wu, W.[Wenbo], 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, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
NDVI, Normalized Difference Vegetation Index, Changes .

Last update:Sep 21, 2020 at 13:40:48