Abstract
This research utilized “GaoFen-1” 2 m panchromatic, 8 m and 16 m multispectral satellite data to monitor the planting area of winter wheat. Calculate the correction coefficient by the results of planting area of winter wheat gotten from “GaoFen-1” 16 m multispectral satellite data and micro unmanned aerial vehicle data. Correct the area extraction result of “GaoFen-1” 16 m multispectral satellite data and verify the accuracy of the results got from fusion data of 2 m resolution and 8 m resolution of “GaoFen-1” by micro unmanned aerial vehicle data. Then compare with the area extraction results, extracted from the data of fusion data of 2 m resolution and 8 m resolution of “GaoFen-1” and the corrected 16 m multispectral satellite data, in Jizhou. The study result show that the corrected extraction result of planting area of winter wheat, from “GaoFen-1” 16 m multispectral satellite data, is accurate relatively and could better meet the requirements of the crop dynamic monitoring business operational running.
Highlights
Following the development of remote sensing technology, various types of remote sensing data were applied to monitor planting area of crops
This study illustrate by a case of Jizhou in Hebei province, use GF-1 data to monitor the planting area of winter wheat, and use the UAV data to modify the area extraction results to solve the problem of mutual restriction between precision and cost and provide scientific basis for the development of operational monitoring in a large scale
Calculate the correction coefficient by the results of planting area of winter wheat gotten from GF16m and micro-UAV data
Summary
Jizhou city is continental monsoon climate characteristics significantly, with four distinct seasons, rain and heat over the same period. Flat terrain and suitable soil, is benefiting to the cultivation of food crops. The major food crops include winter wheat and corn in Jizhou.
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