{ "_id": "6acf6eeae2d863f6629520f9", "Package": "vegIndexCalc", "Type": "Package", "Title": "Vegetation Indices (VIs) Calculation for Remote Sensing Analysis", "Version": "0.1.0", "Authors@R": "c(person(given = \"Dibyendu\", family = \"Deb\", role = c(\"aut\", \"ctb\"),email = \"debiasri@gmail.com\"),\nperson(given = \"Arpan\", family = \"Bhowmik\", role = c(\"aut\", \"ctb\"), email = \"arpan.stat@gmail.com\"),\nperson(given = \"Bijoy\", family = \"Chanda\", role = c(\"aut\", \"cre\", \"ctb\"),email = \"bijoychanda08@gmail.com\" ),\nperson(given = \"J.P.\", family = \"Singh\", role = \"aut\",email =\"jpsingh.igfri@gmail.com\" ),\nperson(given = \"Sunil\", family = \"Mandi\", role = \"aut\",email = \"mandi.sunil@gmail.com\"),\nperson(given = \"Alemwati\", family = \"Pongener\", role = \"aut\",email = \"alemwati@gmail.com\" ))", "Maintainer": "Bijoy Chanda ", "Description": "It provides a comprehensive toolkit for calculating a\nsuite of common vegetation indices (VIs) derived from remote\nsensing imagery. VIs are essential tools used to quantify\nvegetation characteristics, such as biomass, leaf area index\n(LAI) and photosynthetic activity, which are essential\nparameters in various ecological, agricultural, and\nenvironmental studies. Applications of this package include\nbiomass estimation, crop monitoring, forest management, land\nuse and land cover change analysis and climate change studies.\nFor method details see,\nDeb,D.,Deb,S.,Chakraborty,D.,Singh,J.P.,Singh,A.K.,Dutta,P.and\nChoudhury,A.(2020).\nUtilizing this R package, users can effectively extract and\nanalyze critical information from remote sensing imagery,\nenhancing their comprehension of vegetation dynamics and their\nimportance in global ecosystems. 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