论文信息

Dr Uma Kant Singh

Zenodo (CERN European Organization for Nuclear Research)

论文摘要

This article reviews the integration of remote sensing technologies into agricultural surveys to address the limitations of conventional data collection, such as high costs, questionable reliability, and lack of timeliness. It examines how electromagnetic radiation, spectral signatures, and various sensor systems (including IRS-1C, LISS-III, PAN, and WiFS) are utilized to monitor dynamic agricultural resources. The review highlights specific applications across three main domains: crop surveys (e.g., crop identification, yield forecasting, and disease infestation), range surveys (e.g., forest delineation and soil moisture), and livestock surveys. The study concludes that remote sensing provides a rapid, cost-effective, and comprehensive synoptic view essential for effective local and national agricultural planning and resource management.

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Zenodo (CERN European Organization for Nuclear Research)
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