|
[1]
|
Vegetation Health and Forest Canopy Density Monitoring in The Sundarban Region Using Remote Sensing and GIS
International Journal of Next-Generation Computing,
2023
DOI:10.47164/ijngc.v14i4.1415
|
|
|
|
|
[2]
|
Optimization of land cover mapping through improvements in Sentinel-1 and Sentinel-2 image dimensionality and data mining feature selection for hydrological modeling
Stochastic Environmental Research and Risk Assessment,
2021
DOI:10.1007/s00477-021-02014-z
|
|
|
|
|
[3]
|
Comparative analysis of forest canopy mapping methods for the Sundarban biosphere reserve, West Bengal, India
Environment, Development and Sustainability,
2021
DOI:10.1007/s10668-021-01291-6
|
|
|
|
|
[4]
|
Dehesa environment mapping with transference of a Random Forest classifier to neighboring ultra-high spatial resolution imagery at class and macro-class land cover levels
Stochastic Environmental Research and Risk Assessment,
2020
DOI:10.1007/s00477-020-01880-3
|
|
|
|
|
[5]
|
Spatial distribution of empty fruit bunch production as potential electric resource using remote sensing technique
Energy Procedia,
2019
DOI:10.1016/j.egypro.2019.01.910
|
|
|
|
|
[6]
|
How green was my valley: forest canopy density in relation to topography and anthropogenic effects in Manipur valley, India
Geografisk Tidsskrift-Danish Journal of Geography,
2018
DOI:10.1080/00167223.2018.1495090
|
|
|
|
|
[7]
|
Integration of GIS and Remote Sensing for Evaluating Forest Canopy Density Index in Thai Nguyen Province, Vietnam
International Journal of Environmental Science and Development,
2017
DOI:10.18178/ijesd.2017.8.8.1012
|
|
|
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