Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sakthi Subburayalu Kumaran"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 1739-1746 (2024)
Soil Organic Carbon (SOC) is the most important indicator of soil health and determines long-term crop productivity. Here, we applied the Random Forest regression model to soil hyperspectral data to determine the important spectral bands and regions
Externí odkaz:
https://doaj.org/article/711579d931a94e15bb3403096ffda105
Autor:
Eric Ariel L. Salas, Sakthi Subburayalu Kumaran, Robert Bennett, Leeoria P. Willis, Kayla Mitchell
Publikováno v:
AIMS Geosciences, Vol 10, Iss 1, Pp 62-79 (2024)
Wetlands are invaluable ecosystems, offering essential services such as carbon sequestration, water purification, flood control and habitat for countless aquatic species. However, these critical environments are under increasing threat from factors l
Externí odkaz:
https://doaj.org/article/d1a7748214a642338580d69a9ec172d2
Publikováno v:
Land, Vol 12, Iss 7, p 1375 (2023)
Spectral remote-sensing indices based on visible, NIR, and SWIR wavelengths are useful in predicting spatial patterns of bare soil. However, identifying an effective combination of informative wavelengths or spectral indices for mapping bare soil in
Externí odkaz:
https://doaj.org/article/eaf65b4cfd8e47b7aa07a480855ce021
Publikováno v:
Geo-spatial Information Science. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d516eb6ee7a4379c537683946481b03
https://doi.org/10.1080/10095020.2023.2211612
https://doi.org/10.1080/10095020.2023.2211612
Autor:
Eric Ariel L. Salas, Sakthi Subburayalu Kumaran, Eric B. Partee, Leeoria P. Willis, Kayla Mitchell
Publikováno v:
Remote Sensing Applications: Society and Environment. 26:100759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::641bc347bc4324293b3ecd7029084d33
https://doi.org/10.1016/j.rsase.2022.100759
https://doi.org/10.1016/j.rsase.2022.100759