Please guide me for selection of satellite data to analyze change in cropping pattern for last 30 years and please mention which indices are used for it.
Pritam Patil
To analyze changes in crop patterns over the past 30 years using satellite data, you can choose from a variety of remote sensing datasets such as Landsat, Sentinel-2, MODIS, or SPOT.
Landsat data have been available since 1972, making them useful for monitoring land use and land cover changes. Sentinel-2 data provides more spectral bands than Landsat, which makes it useful for detecting changes in vegetation cover and crop type. MODIS data has a finer spatial resolution (250 meters) but provides daily images, which makes it useful for tracking changes in vegetation over time. SPOT data has a high spatial resolution (10 m) and can be useful for mapping small-scale agricultural changes.
To analyze changes in cropping patterns, you can use a variety of indices such as the Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), and Vegetation Status Index (VCI). The NDVI is widely used to assess changes in vegetation and is sensitive to changes in vegetation, while the Economic Vulnerability Index (EVI) is used to reduce atmospheric noise in the data. LAI is used to estimate the amount of vegetation material present in a given area, while VCI is used to assess the health of vegetation by comparing the current state of vegetation with the long-term average.
Landsat data helps estimate the last 30 years of LULC. Also, you can use Vegetation Indices from MODIS products, for example, NDVI and EVI (mod13a3)
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