[1]
|
Exploring Talc Deposits: Physical Characteristics, Geological Factors, and Formation in Ultramafic and Mafic Rocks—A Comprehensive Review
Chemistry Africa,
2025
DOI:10.1007/s42250-024-01151-6
|
|
|
[2]
|
Base-metal exploration by using remote sensing, geological, geophysical, and geochemical datasets with clues from ancient mining: A comprehensive review on Aravalli-Delhi Fold Belt, Rajasthan, India
Advances in Space Research,
2025
DOI:10.1016/j.asr.2024.09.038
|
|
|
[3]
|
Potentials of spaceborne imaging spectrometer PRISMA, ASTER, and ALOS-1 PALSAR datasets for mineral mapping and geological controls of mineral deposit in Jahazpur, Rajasthan, India
Remote Sensing Applications: Society and Environment,
2024
DOI:10.1016/j.rsase.2024.101193
|
|
|
[4]
|
Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning
Transactions in GIS,
2024
DOI:10.1111/tgis.13214
|
|
|
[5]
|
Geochemical and remote sensing integrated with satellite gravity data of Darhib and Atshan talc deposits, South Eastern Desert, Egypt
Scientific Reports,
2023
DOI:10.1038/s41598-023-31398-x
|
|
|
[6]
|
Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests
Geocarto International,
2022
DOI:10.1080/10106049.2021.1990419
|
|
|
[7]
|
Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests
Geocarto International,
2021
DOI:10.1080/10106049.2021.1990419
|
|
|
[8]
|
Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests
Geocarto International,
2021
DOI:10.1080/10106049.2021.1990419
|
|
|
[9]
|
Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data
International Journal of Applied Earth Observation and Geoinformation,
2020
DOI:10.1016/j.jag.2019.101960
|
|
|
[10]
|
Airborne hyperspectral data for mineral mapping in Southeastern Rajasthan, India
International Journal of Applied Earth Observation and Geoinformation,
2019
DOI:10.1016/j.jag.2019.05.007
|
|
|
[11]
|
Airborne hyperspectral data for mineral mapping in Southeastern Rajasthan, India
International Journal of Applied Earth Observation and Geoinformation,
2019
DOI:10.1016/j.jag.2019.05.007
|
|
|
[12]
|
Airborne hyperspectral data for mineral mapping in Southeastern Rajasthan, India
International Journal of Applied Earth Observation and Geoinformation,
2019
DOI:10.1016/j.jag.2019.05.007
|
|
|
[13]
|
Airborne hyperspectral data for mineral mapping in Southeastern Rajasthan, India
International Journal of Applied Earth Observation and Geoinformation,
2019
DOI:10.1016/j.jag.2019.05.007
|
|
|