2019
DOI: 10.56093/ijas.v89i11.95291
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Agro-ecological zonation of Uttarakhand using geo-spatial techniques

Abstract: In this study, the Agro-ecological zones (AEZs) of Uttarakhand were delineated based on land use/land cover, slope, soil texture, temperature and length of growing period (LGP) by using remote sensing and GIS. The Decision Tree Classifier (DTC) algorithm technique was used for delineation of Agro-ecological zones (AEZs). The land use/ land cover map was used as base map and slope map of entire state (other than snow bound region) having five classes (0-5°, 5-15°, 15-30°, 30-50° and >50°) was overlaid o… Show more

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Cited by 3 publications
(2 citation statements)
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“…Other studies [36][37][38] have applied the length of growing season as an additional criterion for ACZs classification. The growing season defines the period of the year when both moisture and temperature conditions are suitable for crop production [37].…”
Section: Plos Climatementioning
confidence: 99%
“…Other studies [36][37][38] have applied the length of growing season as an additional criterion for ACZs classification. The growing season defines the period of the year when both moisture and temperature conditions are suitable for crop production [37].…”
Section: Plos Climatementioning
confidence: 99%
“…The thematic layers of various input parameters namely temperature, rainfall, relative humidity, texture, drainage, soil pH, OC, EC, depth etc. along with spatial inputs derived from RS data, and can be incorporated in GIS (Bisht et al 2019, Shaloo et al 2021 for cropland suitability classification (Perveen et al 2007).…”
Section: Tools and Techniques Used For Cropland Suitabilitymentioning
confidence: 99%