干旱区生态环境知识资源中心(Arid): Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS

Arid

DOI	10.1007/s10666-020-09739-1
	Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS
	Sandeep, P.; Reddy, G. P. Obi; Jegankumar, R.; Arun Kumar, K. C.
通讯作者	Reddy, GPO
来源期刊	ENVIRONMENTAL MODELING & ASSESSMENT
ISSN	1420-2026
EISSN	1573-2967
英文摘要	Globally, land degradation becomes a serious environmental issue in the context of anthropogenic pressure and climate change in the twenty-first century. Modeling and assessment of land degradation vulnerability assume a greater importance especially in the semi-arid ecosystems for sustainable land resource management. Consistent and reliable earth observation satellite datasets, Analytic Hierarchy Process (AHP), and Geographic Information System (GIS) are the powerful tools to model and assess the land degradation vulnerability. The present study was aimed to model and assess the land degradation vulnerability through analysis of Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), rainfall, terrain characteristics, and pedological parameters by using AHP and GIS in the semi-arid ecosystem of Rayalaseema region of southern India. The NDVI and LST products derived from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) datasets, rainfall products from Tropical Precipitation Measuring Mission (TRMM), terrain characteristics from Shuttle Radar Topography Mission (SRTM) (30 m), and pedological parameters derived from legacy soil datasets were used in the study. The AHP- and GIS-based modeling shows that about 25.3 and 9.9% of the study area were under high and very high vulnerability to land degradation, respectively. Inadequate rainfall and vegetative cover, high temperature, problematic soils, and lack of adequate conservation measures were found to be the main causative environmental factors for land degradation in the study area. The study clearly demonstrates the potential of AHP- and GIS-based modeling in the assessment of land degradation vulnerability by using the time-series MODIS NDVI- and TRMM-based rainfall products, terrain characteristics, and pedological parameters.
英文关键词	AHP Earth observation satellites GIS Land degradation vulnerability Rayalaseema region
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000588594600001
WOS关键词	NDVI TIME-SERIES ; TREND ANALYSIS ; SOIL-EROSION ; CATCHMENT ; RAINFALL ; SYSTEMS ; RISK
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328475
作者单位	[Sandeep, P.; Reddy, G. P. Obi; Arun Kumar, K. C.] ICAR Natl Bur Soil Survey & Land Use Planning, Amravati Rd, Nagpur 440033, Maharashtra, India; [Sandeep, P.; Jegankumar, R.; Arun Kumar, K. C.] Bharathidasan Univ, Tiruchirappalli 620024, Tamil Nadu, India
推荐引用方式 GB/T 7714	Sandeep, P.,Reddy, G. P. Obi,Jegankumar, R.,et al. Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS[J].
APA	Sandeep, P.,Reddy, G. P. Obi,Jegankumar, R.,&Arun Kumar, K. C..
MLA	Sandeep, P.,et al."Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS".ENVIRONMENTAL MODELING & ASSESSMENT