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Fraction of Vegetation Cover and Its Application in Vegetation Characterization in the Hazaribagh Wildlife Sanctuary, Jharkhand, India


 
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1. Title Title of document Fraction of Vegetation Cover and Its Application in Vegetation Characterization in the Hazaribagh Wildlife Sanctuary, Jharkhand, India
 
2. Creator Author's name, affiliation, country Saurabh Kumar Gupta; Center for Land Resource Management, Central University of Jharkhand, Jharkhand, India
 
2. Creator Author's name, affiliation, country A.C. Pandey; Center for Land Resource Management, Central University of Jharkhand, Jharkhand, India
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.347)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Fractional vegetation cover; Forest vegetation cover; Vegetation indices
 
4. Description Abstract The Vegetation Indices (VI) used for estimation of variations in vegetation cover in past decades. The Fraction of vegetation cover was calculated from pre-computed reflectance database based on inversion of PROSAIL model. It was found that the very low and low forest vegetation cover area was dominated with an area of about 104 Km2 and 69.49 Km2 respectively. The very high forest vegetation cover area is very low of about 24 Km2 . The high and medium vegetation cover forest shows intermediate dominance of about 51.74 Km2 and 57 Km2 in area respectively. The result indicates that NDVI, RVI and PSSRA value closely related to forest vegetation cover. Also, in the regression analysis the same was observed as the high relationship is found between FCOVER AND PSSRA (R2 = 68%) followed by NDVI (R2 = 66%) and RVI (R2 = 65%). The low relationship is found in the relationship of FCOVER and MCARI (R2 = 36.7%) followed by DVI (R2 =53.7%) and IRECI (R2 = 59%).
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2018-04-07
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/858
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 7 (Year 2018)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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