Zobrazeno 1 - 10 of 101 pro vyhledávání: '"V.M. Chowdary"'
1
Akademický článek
Vegetation health conditions assessment and mapping using AVIRIS-NG hyperspectral and field spectroscopy data for -environmental impact assessment in coal mining sites
Autor: Narayan Kayet, Ph.D, Khanindra Pathak, Ph.D, C.P. Singh, Ph.D, V.M. Chowdary, Ph.D, Bimal K. Bhattacharya, Ph.D, Dheeraj Kumar, Subodh Kumar, Ph.D, Ibrahim Shaik, Ph.D
Publikováno v: Ecotoxicology and Environmental Safety, Vol 239, Iss , Pp 113650- (2022)
This paper focuses on vegetation health conditions (VHC) assessment and mapping using high resolution airborne hyperspectral AVIRIS-NG imagery and validated with field spectroscopy-based vegetation spectral data. It also quantified the effect of mini
Externí odkaz: https://doaj.org/article/2498b31306144c77bdae7186fec3ddc0
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2
Akademický článek
Evaluation of crop water demand for sustainable crop production using geospatial tools in a canal command of West Bengal
Autor: Laishram Kanta Singh, Madan K. Jha, V.M. Chowdary, Srikanta Sannigrahi
Publikováno v: Journal of Agrometeorology, Vol 21, Iss 4 (2019)
The agricultural sector is the primary consumer of water resources around the world, and the need for additional food production for growing population further exerts more pressure on water resources. In this study, crop water demand was assessed spa
Externí odkaz: https://doaj.org/article/976e1fa6ab444eb2b682b09a2dc1bfd9
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3
Evaluation of crop water demand for sustainable crop production using geospatial tools in a canal command of West Bengal
Autor: null Laishram Kanta Singh, null Madan K. Jha, null V.M. Chowdary, null Srikanta Sannigrahi
Publikováno v: Journal of Agrometeorology. 21:427-433
The agricultural sector is the primary consumer of water resources around the world, and the need for additional food production for growing population further exerts more pressure on water resources. In this study, crop water demand was assessed spa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f30736d10a86c9119d87e8d7c555ae7
https://doi.org/10.54386/jam.v21i4.277
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4
Akademický článek
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5
Akademický článek
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6
Akademický článek
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7
Risk assessment and prediction of forest health for effective geo-environmental planning and monitoring of mining affected forest area in hilltop region
Autor: Subodh Kumar, Narayan Kayet, V.M. Chowdary, C. P. Singh, Khanindra Pathak, Abhisek Chakrabarty
Publikováno v: Geocarto International. 37:3091-3115
This paper focuses on forest health risk (FHR) assessment and prediction in the mining-affected forest region using AHP model based on multi-criteria analysis in a GIS platform. We considered a total twenty-eight (twenty two present and six predicted
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a63181c598235e8c14074779431fa3
https://doi.org/10.1080/10106049.2020.1849413
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9
Assessment of mining activities on tree species and diversity in hilltop mining areas using Hyperion and Landsat data
Autor: C. P. Singh, Abhisek Chakrabarty, Khanindra Pathak, V.M. Chowdary, Subodh Kumar, Narayan Kayet
Publikováno v: Environmental Science and Pollution Research. 27:42750-42766
The tree species and its diversity are two critical components to be monitored for sustainable management of forest as well as biodiversity conservation. In the present study, we have classified the tree species and estimated its diversity based on h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e36aed46e1dc3e970692ca32a91ccd7
https://doi.org/10.1007/s11356-020-09795-w
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10
Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas
Autor: V.M. Chowdary, C. P. Singh, Khanindra Pathak, Abhisek Chakrabarty, Subodh Kumar, Narayan Kayet, Satiprasad Sahoo, Samrat Basumatary
Publikováno v: Journal of Cleaner Production. 218:993-1006
The scope of this paper is to estimate foliar dust concentration using Hyperion (Narrow-bands data) and Landsat (Broad-bands data) images, with the aid of eight different vegetation indices (VIs) and field-based laboratory spectra. A PCE Instrument f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57092aefe2169a5fa7ff58e1e372f9e9
https://doi.org/10.1016/j.jclepro.2019.01.305
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