Optical remote sensing applications in crop mapping and acreage estimation: A review
IK Ramteke, PB Rajankar, GP Obi Reddy, DM Kolte, TK Sen
Crop identification and mapping is pre-requisite for various crop planning and management activities. Crop type maps were generated by national and multinational agricultural agencies, insurance agencies, and regional agricultural boards to prepare an inventory of what was grown in certain areas and when. This serves the purpose of forecasting of grain supplies (yield prediction), collection of crop statistics, facilitating crop rotation records, mapping soil productivity, identification of factors influencing the crop stress, assessment of crop damage due to storms and drought, and monitoring the farming activities. Identification of crop types and delineating their extent to generate the reliable statistics play the key role in agriculture planning. Optical remote sensing makes use of visible, near infrared and short-wave infrared sensors to form images of the Earth's surface by detecting the solar radiation reflected in these wavelengths from targets on the ground. Different materials reflect and absorb energy differently at the visible and infrared wavelengths. Thus, targets can be differentiated by their spectral reflectance signatures captured in the remotely sensed images. The aim of present study was to review the application of optical remote sensing in crop mapping and acreage estimation. The review of the studies indicates that the optical remote sensing has equal capabilities in crop identification and acreage estimation with some of the limitations like, availability of cloud free images and spatial resolutions. However, advancement in spatial and temporal resolution optical remote sensing allowed accurate discrimination amongst the crop types and other vegetation.
IK Ramteke, PB Rajankar, GP Obi Reddy, DM Kolte, TK Sen. Optical remote sensing applications in crop mapping and acreage estimation: A review. International Journal of Ecology and Environmental Sciences. 2020; 2(4): 696-703.