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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/33974
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Tripathi R, Sahoo RN, Gupta VK, Sehgal VK and Sahoo PM | en_US |
dc.date.accessioned | 2020-03-18T11:18:47Z | - |
dc.date.available | 2020-03-18T11:18:47Z | - |
dc.date.issued | 2013-03-01 | - |
dc.identifier.citation | Tripathi R, Sahoo RN, Gupta VK, Sehgal VK and Sahoo PM. 2013. Developing vegetation health index from biophysical variables derived using MODIS satellite data in the Transgangatic plain of India. Emirates Journal of Food and Agriculture. Vol.25(5), 376-384. DOI: 10.9755/ejfa.v25i5.11580. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/33974 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Basic requirement for crop growth monitoring is the efficient tool for retrieving different plant biophysical variables and its accuracy or reliability. In the present study, statistical approach is used to retrieve the three biophysical parameters i.e. leaf area index (LAI), Chlorophyll content (Cab), and leaf equivalent water thickness (Cw). Normalized Difference Vegetation Index (NDVI), Red Index (RI) and Normalized Difference Water Index (NDWI) were used to retrieve LAI, Cab and Cw respectively. Study area was Trans-Gangetic plain comprising of whole Punjab, Haryana, Chandigarh, Delhi and some parts of Rajasthan. Field measurements were done at 190 locations. Spectral measurements (wheat crop and soil) with ground held spectroradiometer (FieldSpec3), LAI using Canopy Analyzer (LICOR-2000) and leaf samples were collected for further analysis in laboratory. Satellite data used was MODIS Surface Reflectance Product (MOD 09). Vegetation Health Index (VHI) was developed using the retrieved LAI, Cab and Cw and study area was categorized into four groups based on VHI. | en_US |
dc.description.sponsorship | ICAR | en_US |
dc.language.iso | English | en_US |
dc.publisher | PLANT SCIENCE | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Chlorophyll content, Equivalent water thickness, NDVI, Leaf area index, Vegetation health index | en_US |
dc.title | Developing Vegetation Health Index from biophysical variables derived using MODIS satellite data in the Trans-Gangetic plains of India | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Emirates Journal of Food and Agriculture | en_US |
dc.publication.volumeno | Volume 25 Issue 5 | en_US |
dc.publication.pagenumber | 376-384 | en_US |
dc.publication.divisionUnit | Crop Production Division | en_US |
dc.publication.sourceUrl | 10.9755/ejfa.v25i5.11580 | en_US |
dc.publication.authorAffiliation | ICAR::National Rice Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 7.01 | en_US |
Appears in Collections: | CS-NRRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Developing vegetation health index-2013.pdf | 1.03 MB | Adobe PDF | View/Open |
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