Articles | Volume 11, issue 6
https://doi.org/10.5194/hess-11-1857-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Special issue:
https://doi.org/10.5194/hess-11-1857-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Uncertainties in land use data
G. Castilla
Institute for Regional Development, University of Castilla La Mancha, Albacete, Spain
G. J. Hay
Department of Geography, University of Calgary, Alberta, Canada
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Cited
33 citations as recorded by crossref.
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- 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
- 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
- Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda M. Mugabowindekwe et al. 10.1038/s41558-022-01544-w
- Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality H. McMillan et al. 10.1002/hyp.9384
- 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
- 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
- Assessment of uncertainties in global land cover products for hydro‐climate modeling in India C. Madhusoodhanan et al. 10.1002/2016WR020193
- Scale appropriate modelling of diffuse microbial pollution from agriculture D. Oliver et al. 10.1177/0309133309342647
- 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
- 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
- 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
- Identification and Utilisation of Land-use Type Importance for Land-use Data Generalisation W. Gao et al. 10.1179/1743277413Y.0000000054
- Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects M. Li & A. Stein 10.3390/rs12244158
- 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
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- 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
- Construction of an analytical framework for polygon-based land use transition analyses C. Mizutani 10.1016/j.compenvurbsys.2011.11.004
- 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
- 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
- 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
- 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
- Research in the spatial sciences: how are Canadian geographers contributing? T. REMMEL & M. FORTIN 10.1111/j.1541-0064.2009.00299.x
- Predicting individual pixel error in remote sensing soft classification R. Khatami et al. 10.1016/j.rse.2017.07.028
- A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring G. Lui & D. Coomes 10.3390/rs70302781
- Mapping per-pixel predicted accuracy of classified remote sensing images R. Khatami et al. 10.1016/j.rse.2017.01.025
- 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
- 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
- Beyond the epsilon band: polygonal modeling of gradation/uncertainty in area-class maps B. Kronenfeld 10.1080/13658816.2010.518317
- Object based image analysis for remote sensing T. Blaschke 10.1016/j.isprsjprs.2009.06.004
- Relationship between landscape structure and neighborhood satisfaction in urbanized areas S. Lee et al. 10.1016/j.landurbplan.2007.09.013
- Climate change versus land-use change—What affects the mountain landscapes more? E. Tasser et al. 10.1016/j.landusepol.2016.10.019
29 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda M. Mugabowindekwe et al. 10.1038/s41558-022-01544-w
- Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality H. McMillan et al. 10.1002/hyp.9384
- 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
- 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
- Assessment of uncertainties in global land cover products for hydro‐climate modeling in India C. Madhusoodhanan et al. 10.1002/2016WR020193
- Scale appropriate modelling of diffuse microbial pollution from agriculture D. Oliver et al. 10.1177/0309133309342647
- 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
- 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
- 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
- Identification and Utilisation of Land-use Type Importance for Land-use Data Generalisation W. Gao et al. 10.1179/1743277413Y.0000000054
- Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects M. Li & A. Stein 10.3390/rs12244158
- 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
- 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
- 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
- Construction of an analytical framework for polygon-based land use transition analyses C. Mizutani 10.1016/j.compenvurbsys.2011.11.004
- 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
- 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
- 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
- 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
- Research in the spatial sciences: how are Canadian geographers contributing? T. REMMEL & M. FORTIN 10.1111/j.1541-0064.2009.00299.x
- Predicting individual pixel error in remote sensing soft classification R. Khatami et al. 10.1016/j.rse.2017.07.028
- A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring G. Lui & D. Coomes 10.3390/rs70302781
- Mapping per-pixel predicted accuracy of classified remote sensing images R. Khatami et al. 10.1016/j.rse.2017.01.025
- 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
- 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
4 citations as recorded by crossref.
- Beyond the epsilon band: polygonal modeling of gradation/uncertainty in area-class maps B. Kronenfeld 10.1080/13658816.2010.518317
- Object based image analysis for remote sensing T. Blaschke 10.1016/j.isprsjprs.2009.06.004
- Relationship between landscape structure and neighborhood satisfaction in urbanized areas S. Lee et al. 10.1016/j.landurbplan.2007.09.013
- Climate change versus land-use change—What affects the mountain landscapes more? E. Tasser et al. 10.1016/j.landusepol.2016.10.019
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