A proper Land Cover and Forest Type Classification Scheme for Mexico

12 citations as recorded by crossref.

1. Assessment of the Potential of Coordinating Two Interacting Monitoring Networks within the Lerma-Santiago Hydrologic System in Mexico M. Gradilla-Hernández et al. https://doi.org/10.3390/w14111687
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3. Seasonal and Long-Term Behavior of TN:TP Ratio in Lake Cajititlán and Its Environmental Implications J. de Anda et al. https://doi.org/10.1007/s11270-022-05566-0
4. Evaluating and supporting conservation action in agricultural landscapes of the Usumacinta River Basin R. Vaca et al. https://doi.org/10.1016/j.jenvman.2018.09.055
5. Random Forest Classification of Multitemporal Landsat 8 Spectral Data and Phenology Metrics for Land Cover Mapping in the Sonoran and Mojave Deserts M. Melichar et al. https://doi.org/10.3390/rs15051266
6. Citizen science suggests decreased diversity of insects in Mexico, a megadiverse country J. Soberon https://doi.org/10.22201/ib.20078706e.2025.96.5720
7. Reply to Mas et al.: Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943 M. Schmidt et al. https://doi.org/10.3390/rs8070534
8. Classification of Land Cover Remote-Sensing Images Based on Pattern Recognition H. Xie et al. https://doi.org/10.1155/2022/8319692
9. Challenges for Monitoring the Extent and Land Use/Cover Changes in Monarch Butterflies’ Migratory Habitat across the United States and Mexico R. Moreno-Sanchez et al. https://doi.org/10.3390/land8100156
10. A GIS Methodology to Determine the Critical Regions for Mitigating Eutrophication in Large Territories: The Case of Jalisco, Mexico E. Cervantes-Astorga et al. https://doi.org/10.3390/su13148029
11. Development of a specific water quality index for the protection of aquatic life of a highly polluted urban river L. Casillas-García et al. https://doi.org/10.1016/j.ecolind.2021.107899
12. Systematic mapping of academic literature on REDD+ in Mexico: research gaps and ways forward J. Špirić et al. https://doi.org/10.1088/1748-9326/aea870