z-logo
open-access-imgOpen Access
Land degradation severity assessment with sand encroachment in an ecologically fragile arid environment: a geospatial perspective
Author(s) -
Prem Chandra Pandey,
Meenu Rani,
Prashant Kumar Srivastava,
Laxmi Kant Sharma,
Mahendra Singh Nathawat
Publication year - 2013
Publication title -
qscience connect
Language(s) - English
Resource type - Journals
ISSN - 2223-506X
DOI - 10.5339/connect.2013.43
Subject(s) - arid , geospatial analysis , land degradation , land cover , change detection , environmental science , land use , change analysis , environmental change , physical geography , geography , climate change , hydrology (agriculture) , environmental resource management , agriculture , remote sensing , ecology , geology , geotechnical engineering , archaeology , biology
The objective of this study is to evaluate sand encroached degradation in arid-land, with a predominantly agricultural ecosystem, using geospatial technologies. The study primarily involves the assessment of land degradation severity, severity change dynamics and temporal land-use change patterns, such as growth or shrinkage. Land use/land cover (LULC) change dynamics were analyzed for eight featured classes, derived using a K-means supervised classification method. Overall accuracy and kappa statistics obtained were 91.68% and 0.904 for the year 2001, while 90.85% and 0.896 for year the 2006. The analysis revealed that change dynamic patterns were highest for sand-affected areas and built-up classes, showing positive trend and an overall change of 8.92% and 5.34%, respectively. Degradation severity change dynamics and change patterns clearly showed an increasing trend in highly severe degradation areas (dynamic change 5.55 km2/change pattern 0.093%), followed by severe degradation (dynamic change 31.22 k...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom