36 citations as recorded by crossref.

1. From land cover change to land function dynamics: A major challenge to improve land characterization P. Verburg et al. 10.1016/j.jenvman.2008.08.005
2. Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series R. Masolele et al. 10.1016/j.rse.2021.112600
3. Convolutional Neural Network for Thailand's Eastern Economic Corridor (EEC) land cover classification using overlapping process on satellite images P. Chermprayong et al. 10.1016/j.rsase.2021.100543
4. Small stream catchments in a developing city context: The importance of land cover changes on the ecological status of streams and the possibilities for providing ecosystem services A. Bylak et al. 10.1016/j.scitotenv.2021.151974
5. Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda M. Mugabowindekwe et al. 10.1038/s41558-022-01544-w
6. Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality H. McMillan et al. 10.1002/hyp.9384
7. Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages D. García-Álvarez et al. 10.1016/j.envsoft.2022.105411
8. Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective V. Reinhart et al. 10.1016/j.jag.2020.102221
9. Assessment of uncertainties in global land cover products for hydro‐climate modeling in India C. Madhusoodhanan et al. 10.1002/2016WR020193
10. Scale appropriate modelling of diffuse microbial pollution from agriculture D. Oliver et al. 10.1177/0309133309342647
11. We Must all Pay More Attention to Rigor in Accuracy Assessment: Additional Comment to “The Improvement of Land Cover Classification by Thermal Remote Sensing”. Remote Sens. 2015, 7, 8368–8390 G. Castilla 10.3390/rs8040288
12. Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps D. García-Álvarez et al. 10.1016/j.compenvurbsys.2019.101389
13. A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing Y. Wang et al. 10.1016/j.isprsjprs.2023.11.014
14. Identification and Utilisation of Land-use Type Importance for Land-use Data Generalisation W. Gao et al. 10.1179/1743277413Y.0000000054
15. Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects M. Li & A. Stein 10.3390/rs12244158
16. Introducing fuzzy set theory to evaluate risk of misclassification of land cover maps to land mapping applications: Testing on coastal watersheds Z. Teixeira et al. 10.1016/j.ocecoaman.2019.104903
17. Hierarchical partition of urban land-use units by unsupervised graph learning from high-resolution satellite images M. Li et al. 10.1080/17538947.2024.2432546
18. Four National Maps of Broad Forest Type Provide Inconsistent Answers to the Question of What Burns in Canada G. Castilla et al. 10.3390/rs8070539
19. A holistic approach to projecting streamflow and analyzing changes in ecologically relevant hydrological indicators under climate and land use/cover change Y. Liu et al. 10.1016/j.jhydrol.2024.130863
20. Construction of an analytical framework for polygon-based land use transition analyses C. Mizutani 10.1016/j.compenvurbsys.2011.11.004
21. Simulation of Land Use/Land Cover Dynamics Using Google Earth Data and QGIS: A Case Study on Outer Ring Road, Southern India S. Padma et al. 10.3390/su142416373
22. A Comparison of Streamflow and Baseflow Responses to Land-Use Change and the Variation in Climate Parameters Using SWAT M. Aboelnour et al. 10.3390/w12010191
23. Spreading of Lagrangian Particles in the Black Sea: A Comparison between Drifters and a High-Resolution Ocean Model M. Bouzaiene et al. 10.3390/rs13132603
24. Assessing Landscape Fragmentation Dynamics with Fourier Transforms E. Rahimi & P. Dong 10.2478/jlecol-2024-0020
25. Combined use of satellite image analysis, land-use statistics, and land-use-specific export coefficients to predict nutrients in drained peatland catchment J. Bhattacharjee et al. 10.1016/j.scitotenv.2021.146419
26. Research in the spatial sciences: how are Canadian geographers contributing? T. REMMEL & M. FORTIN 10.1111/j.1541-0064.2009.00299.x
27. Predicting individual pixel error in remote sensing soft classification R. Khatami et al. 10.1016/j.rse.2017.07.028
28. Regional assessment of land use change based on geospatial data (the case of Yaroslavl Region) N. Alekseeva et al. 10.35595/2414-9179-2024-2-30-136-152
29. A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring G. Lui & D. Coomes 10.3390/rs70302781
30. Mapping per-pixel predicted accuracy of classified remote sensing images R. Khatami et al. 10.1016/j.rse.2017.01.025
31. Challenges in using land use and land cover data for global change studies P. VERBURG et al. 10.1111/j.1365-2486.2010.02307.x
32. Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications S. Afrin et al. 10.3390/s19224891
33. Beyond the epsilon band: polygonal modeling of gradation/uncertainty in area-class maps B. Kronenfeld 10.1080/13658816.2010.518317
34. Object based image analysis for remote sensing T. Blaschke 10.1016/j.isprsjprs.2009.06.004
35. Relationship between landscape structure and neighborhood satisfaction in urbanized areas S. Lee et al. 10.1016/j.landurbplan.2007.09.013
36. Climate change versus land-use change—What affects the mountain landscapes more? E. Tasser et al. 10.1016/j.landusepol.2016.10.019