Erdanaev, Elbek
[VerfasserIn]
;
Kappas, Martin
[AkademischeR BetreuerIn];
Gerold, Gerhard
[AkademischeR BetreuerIn]
Classification of main irrigated crop types towards sustainable development using Landsat and Sentinel data by GIS and remote sensing techniques in a semi-arid area in Tashkent Province, Uzbekistan
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Hochschulschrift
Titel:
Classification of main irrigated crop types towards sustainable development using Landsat and Sentinel data by GIS and remote sensing techniques in a semi-arid area in Tashkent Province, Uzbekistan
Beschreibung:
As the world population increases and cropland expansion occurs, there will be a high need in the food supply soon which will require higher agricultural yields. Crop yield estimation, management, and production assessments at the regional and country-level are very important in Uzbekistan which requires supplemental spatial data that provides timely information on crop type's spatial distribution, condition, and potential yields. Crop-type identification at the local and regional level is very important in agricultural regions in developing countries where it contributes the main share of ...