Agricultural drought assessment in central dry zone of agro climatic zones of Karnataka using GIS and remote sensing

Nandeesha and Ramu (2015) Agricultural drought assessment in central dry zone of agro climatic zones of Karnataka using GIS and remote sensing. International Journal of Computer Science and Information Technology Research, 3 (2). pp. 575-581. ISSN 2348-120X

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Agricultural Drought is a significantly affecting the agricultural production and major impact on economy of the country, Despite the significant technological advances since independence Indian agriculture, continues to be periodically affected by droughts. Geographical Information System (GIS) is powerful tool for retrieve the data, Data analysis and interpretation of data and also Remote sensing techniques is broadly using in assessing Agricultural drought studies. Characterization and monitoring of agricultural situation have become essential activities towards human welfare. A system for national/regional and sub regional assessment and monitoring of agricultural drought conditions through the cropping season to provide periodic information on the prevalence, severity level and persistence of agricultural drought is the utmost need of the hour. Earth Observations by satellites provide information of immense value in addressing these issues. During current kharif season 250m resolution MODIS TERRA images over Central Dry agro climatic zone were analyzed from June to October (Kharif season) and agricultural drought situation was assessed Central dry zone using satellite derived agricultural area NDVI images. The Agricultural drought, usually triggered by meteorological and hydrological droughts, occurs when soil moisture and rainfall are inadequate during the crop growing season causing extreme crop stress and wilting. Plant water demand depends on prevailing weather conditions, biological characteristics of the specific plant, and its stage of growth and the physical and biological properties of the soil. NDVI is a measure or estimate of the amount of radiation being absorbed by plants. NDVI is calculated from the visible and near-infrared light reflected by vegetation. Among the various vegetation indices that are now available, Normalised Difference Vegetation Index (NDVI) is an universally acceptable index for operational drought assessment because of its simplicity in calculation, easy interpret and its ability to partially compensate for the effects of atmosphere, illumination geometry etc Malingreau 1986, Jhonson, et, al., 1993.

Item Type: Article
Uncontrolled Keywords: Agricultural Drought and NDVI and MODIS TERRA and Kharif Season
Subjects: F Earth Science > Geology
Divisions: Department of > Earth Science
Depositing User: Shrirekha N
Date Deposited: 06 Jul 2019 09:45
Last Modified: 06 Jul 2019 09:45

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