Integrating terrain and vegetation indices for identifying potential soil erosion risk area

Autor:	Arabinda Sharma
Rok vydání:	2010
Předmět:	Hydrology Topographic Wetness Index Geography Planning and Development Erosion Environmental science Terrain Vegetation Enhanced vegetation index Computers in Earth Sciences Digital elevation model Stream power Normalized Difference Vegetation Index
Zdroj:	Geo-spatial Information Science. 13:201-209
ISSN:	1993-5153 1009-5020
DOI:	10.1007/s11806-010-0342-6
Popis:	The present paper offers an innovative method to monitor the change in soil erosion potential by integrating terrain and vegetation indices derived from remote sensing data. Three terrain indices namely, topographic wetness index (TWI), stream power index (SPI) and slope length factor (LS), were derived from the digital elevation model. Normalized vegetation index (NDVI) was derived for the year 1988 and 2004 using remote sensing images. K-mean clustering was performed on staked indices to categorize the study area into four soil erosion potential classes. The validation of derived erosion potential map using USLE model showed a good agreement. Results indicated that there was a significant change in the erosion potential of the watershed and a gradual shifting of lower erosion potential class to next higher erosion potential class over the study period.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a7bb550b94f644dd978352c62d632fd2 https://doi.org/10.1007/s11806-010-0342-6 Zobrazit plný text záznamu Full text from SpringerLink