Authors: Meghavi Prashnani*, University of Maryland
Topics: Agricultural Geography, food systems
Keywords: Agriculture , Remote Sensing , Cropping Pattern , Google Earth Engine
Session Type: Poster
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Madhya Pradesh, a state in central India, is primarily an agricultural state with 70 percent of the population engaged in agriculture. Madhya Pradesh has noteworthy crop diversity across the state and significant shifts in cropping pattern over the years because of various socio-economic reasons and climatic conditions. There are eleven agro-climatic zones and variety of soils available in the state to support the cultivation of a wide range of crops. Favorable soil and climatic conditions helped the state to be a leading producer of coarse cereals, pulses (gram, lentils), oilseeds (soybean), garlic and coriander in the country. This study aims to understand the cropping pattern change and agriculture land-use expansion over the past three decades, using satellite and land survey-based data. The study uses the thirty years of Landsat satellite data of 30-meter spatial resolution to classify cropped area using cloud-computing platform Google Earth Engine along with ground survey-based crops statistics data for analysis of cropping pattern variations. The satellite data is used for quantification of the total cropped and fallow area in all agricultural seasons (Rabi, Kharif, and Zaid) and to compare the district-wise variations in the cropped area over the three decades. The result shows that the area of agriculture crops in all agriculture seasons have increased considerably. Moreover, there are major pattern shifts among various crops. The study also reveals that there is still potential for agriculture expansion in the state, which can help in improving the livelihood of the farmers and economy of the state.