Arid
DOI10.3390/su141610198
Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India
Malav, Lal Chand; Yadav, Brijesh; Tailor, Bhagwati L.; Pattanayak, Sarthak; Singh, Shruti, V; Kumar, Nirmal; Reddy, Gangalakunta P. O.; Mina, Banshi L.; Dwivedi, Brahma S.; Jha, Prakash Kumar
通讯作者Yadav, B
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2022
卷号14期号:16
英文摘要Global soils are under extreme pressure from various threats due to population expansion, economic development, and climate change. Mapping of land degradation vulnerability (LDV) using geospatial techniques play a significant role and has great importance, especially in semi-arid climates for the management of natural resources in a sustainable manner. The present study was conducted to assess the spatial distribution of land degradation hotspots based on some important parameters such as land use/land cover (LULC), Normalized Difference Vegetation Index (NDVI), terrain characteristics (Topographic Wetness Index and Multi-Resolution Index of Valley Bottom Flatness), climatic parameters (land surface temperature and mean annual rainfall), and pedological attributes (soil texture and soil organic carbon) by using Analytical Hierarchical Process (AHP) and GIS techniques in the semi-arid region of the Bundi district, Rajasthan, India. Land surface temperature (LST) and NDVI products were derived from time-series Moderate-Resolution Imaging Spectroradiometer (MODIS) datasets, rainfall data products from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), terrain characteristics from Shuttle Radar Topography Mission (SRTM), LULC from Landsat 9, and pedological variables from legacy soil datasets. Weights derived for thematic layers from the AHP in the studied area were as follows: LULC (0.38) > NDVI (0.23) > ST (0.15) > LST (0.08) > TWI (0.06) > MAR (0.05) > SOC (0.03) > MRVBF (0.02). The consistency ratio (CR) for all studied parameters was <0.10, indicating the high accuracy of the AHP. The results show that about 20.52% and 23.54% of study area was under moderate and high to very high vulnerability of land degradation, respectively. Validation of LDV zones with the help of ultra-high-resolution Google Earth imageries indicates good agreement with the model outputs. The research aids in a better understanding of the influence of land degradation on long-term land management and development at the watershed level.
英文关键词analytical hierarchical process land degradation vulnerability NDVI land surface temperature soil properties
类型Article
语种英语
开放获取类型gold
收录类别SCI-E ; SSCI
WOS记录号WOS:000846536800001
WOS关键词SOIL-EROSION ; WEST-BENGAL ; GIS ; DISTRICT
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/394627
推荐引用方式
GB/T 7714
Malav, Lal Chand,Yadav, Brijesh,Tailor, Bhagwati L.,et al. Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India[J],2022,14(16).
APA Malav, Lal Chand.,Yadav, Brijesh.,Tailor, Bhagwati L..,Pattanayak, Sarthak.,Singh, Shruti, V.,...&Jha, Prakash Kumar.(2022).Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India.SUSTAINABILITY,14(16).
MLA Malav, Lal Chand,et al."Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India".SUSTAINABILITY 14.16(2022).
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