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http://krishi.icar.gov.in/jspui/handle/123456789/57420
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | P.C.Moharana | en_US |
dc.contributor.author | Shalu Soni | en_US |
dc.contributor.author | R.K.Bhatt | en_US |
dc.date.accessioned | 2021-08-17T04:58:40Z | - |
dc.date.available | 2021-08-17T04:58:40Z | - |
dc.date.issued | 2013-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/57420 | - |
dc.description | The study speaks about how NDVI can be helpful in the assessment of desertification in arid part of Rajasthan | en_US |
dc.description.abstract | At the national scale, India is among the countries experiencing the heat of desertification; about 120 m ha area is degraded by various processes of degradation and in western part of Rajasthan; about 76% area has been mapped under wind erosion and deposition form of land degradation. The present study was carried out in Jaislamer district which falls within arid region of India and cover maximum area of Thar Desert in India. The district can be best described by a dominant sandy terrain and climatically a very low rainfall region of the country. Absence of any substantial vegetation cover and agricultural activities, coupled with high wind velocity make the region more vulnerable to sand movement through wind erosion and depositional processes. Satellite remote sensing provides an alternate technique for monitoring and characterizing trends of land degradation. In this paper, we used time series datasets of Normalized Difference Vegetation Index (NDVI) obtained from MODIS available from 2000 to 2009. Decline in vegetation cover is one of the indicators in the assessment of state of desertification. Therefore, NDVI derived from remote sensing satellites can also be used as indicators of desertification. Recent researches also link desertification with El Niño and La Niña events. Our observation showed, years 2002, 2004 and 2009 has very low range of NDVI values while 2001, 2003, 2006 has the combination of higher, moderate and low NDVI values | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | INCA | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | NDVI | en_US |
dc.subject | Desertification | en_US |
dc.subject | Climate variability | en_US |
dc.subject | arid Rajasthan | en_US |
dc.title | NDVI Based Assessment of Desertification in Arid Part of Rajasthan in Reference to Regional Climate Variability | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Indian Cartographer | en_US |
dc.publication.volumeno | 33 | en_US |
dc.publication.pagenumber | 319-325 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Indian Cartographer, Vol. XXXIII, 2013 | en_US |
dc.publication.authorAffiliation | ICAR::Central Arid Zone Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Research | en_US |
Appears in Collections: | NRM-CAZRI-Publication |
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