Arid
DOI10.3390/rs10121862
Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques
Lamqadem, Atman Ait1; Saber, Hafid1; Pradhan, Biswajeet2,3
通讯作者Pradhan, Biswajeet
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2018
卷号10期号:12
英文摘要

Desertification is an environmental problem worldwide. Remote sensing data and technique offer substantial information for mapping and assessment of desertification. Desertification is one of the most serious forms of environmental threat in Morocco, especially in the oases in the south-eastern part of the country. This study aims to map the degree of desertification in middle Draa Valley in 2017 using a Sentinel-2 MSI (multispectral instrument) image. Firstly, three indices, namely, tasselled cap brightness (TCB), greenness (TCG) and wetness (TCW) were extracted using the tasselled cap transformation method. Secondly, other indices, such as normalized difference vegetation index (NDVI) and albedo, were retrieved. Thirdly, a linear regression analysis was performed on NDVI-albedo, TCG-TCB and TCW-TCB combinations. Results showed a higher correlation between TCW and TCB (r = -0.812) than with that of the NDVI-albedo (r = -0.50). On the basis of this analysis, a desertification degree index was developed using the TCW-TCB feature space classification. A map of desertification grades was elaborated and divided into five classes, namely, nondesertification, low, moderate, severe and extreme levels. Results indicated that only 6.20% of the study area falls under the nondesertification grade, whereas 26.92% and 32.85% fall under the severe and extreme grades, respectively. The employed method was useful for the quantitative assessment of desertification with an overall accuracy of 93.07%. This method is simple, robust, powerful, and easy to use for the management and protection of the fragile arid and semiarid lands.


英文关键词Sentinel-2 GIS tasselled cap transformation NDVI albedo remote sensing middle Draa valley
类型Article
语种英语
国家Morocco ; Australia ; South Korea
收录类别SCI-E
WOS记录号WOS:000455637600004
WOS关键词MONITORING DESERTIFICATION ; LAND DEGRADATION ; MIXTURE ANALYSIS ; SURFACE ALBEDO ; AREAS ; TRANSFORMATION ; NDVI
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212667
作者单位1.Chouaib Doukkali Univ, Dept Geol, Fac Sci, Lab Geodynam & Geomat, Ben Maachou St, El Jadida 24000, Morocco;
2.Univ Technol Sydney, Fac Engn & Informat Technol, CAMGIS, Ultimo, NSW 2007, Australia;
3.Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea
推荐引用方式
GB/T 7714
Lamqadem, Atman Ait,Saber, Hafid,Pradhan, Biswajeet. Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques[J],2018,10(12).
APA Lamqadem, Atman Ait,Saber, Hafid,&Pradhan, Biswajeet.(2018).Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques.REMOTE SENSING,10(12).
MLA Lamqadem, Atman Ait,et al."Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques".REMOTE SENSING 10.12(2018).
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