Abstract
ABSTRACTA novel approach is presented to assess the agriculture performance in the states of Telangana and Andhra Pradesh using long-term fortnightly satellite, meteorological and irrigation data-sets. National Oceanic and Atmospheric Administration (NOAA), Global Inventory Modeling and Mapping Studies (GIMMS) and Normalized Difference Vegetation Index (NDVI) data for the period 1982–2000 were used to study the pattern of anomalies in the NDVI anomalies and Standardized Precipitation Index (SPI) in the agriculture areas to capture the drought events. After hierarchical image classification and field observations, the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI product was used to generate the cropped area. The deviation of the NDVI (NDVIDev) was used to understand the agricultural growth/stress, variations in the cropped area and per cent fluctuation in space and time. The SPI, derived from the rainfall data pertaining to 2000–2015, was used to determine the distribution of precipitation. The crop area (%) and growth conditions during the different cropping seasons agree well with the prevailing drought conditions. A significant (p < 0.05) relation was found between the NDVI and precipitation in the summer monsoon each year except during excellent summer monsoon year. The seasonal precipitation, residual soil moisture and source of irrigation were also found to have significant (p < 0.05) impacts on the winter and summer crops.
Highlights
Agriculture is one of the major economic activities in India
National Oceanic and Atmospheric Administration (NOAA) AVHRR Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data are derived from the images obtained from the AVHRR instrument onboard the NOAA satellite series 7, 9, 11, 14, 16 and 17
This NDVI data-set has been corrected for calibration, view geometry, volcanic aerosols and other effects that are not related to vegetation change
Summary
Agriculture is one of the major economic activities in India. About two-thirds of India’s population is dependent on agriculture. Any change in the crop conditions/stress is likely to affect the overall economy of the country (Parmeshwar et al 2014). The performance of agriculture in India has improved significantly as witnessed by the ability of agriculture to sustain the area under cultivation and by assessments of growth. Much of the agriculture in India is dependent on the monsoon, the south-west monsoon (on average, 80% of the annual rainfall occurs between June and September) (Niranjan Kumar et al 2013). Estimation of regional crop vigour and growth and stress conditions on the basis of intermittent field observations
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