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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Application of “GaoFen-1” Satellite Data and “Micro-UAV” Data in Remote Sensing Monitoring in Winter Wheat—Illustrated by a Case of Jizhou in Hebei Province
verfasst von : Yuechen Liu, Weijie Jiao, Haijun Wang, Xue Han
Erschienen in: Computer and Computing Technologies in Agriculture X
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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.