Crop acreage monitoring based on UAV image

doi:10.13474/j.cnki.11-2246.2020.0218

Abstract

Abstract: The cultivated land in the southern plain is fragmented, varieties of crops planted and the spatial distribution is mixed, so it is difficult to accurately monitor the area of crops by using traditional remote sensing technology. Drones aerial photography has advantages providing a beneficial way to solve this problem which is flexible for shooting time, high spatial resolution and low cost, et al. In this paper, drones aerial photography data is used to monitor the ground sample plots in Pingyao town, Yuhang district, Hangzhou city, to obtain the the location and variety data of the crops. The object-oriented multi-scale segmentation method and the random forest classification method are used to segment and classify the aerial data of the drone, and the high-resolution remote sensing data information is used to extract the crop varieties and their spatial information to achieve high-precision crops area, to promotthe deeply application of UAV remote sensing in agriculture.

Key words: UAV, high-resolution image, multi-scale segmentation, random forest classificaton, crop area

CLC Number:

P237

REN Zexi, DING Lixia, LIU Lijuan, XIE Jinying, AO Yiying, ZHANG Jiyan, HE Jiaying. Crop acreage monitoring based on UAV image[J]. Bulletin of Surveying and Mapping, 2020, 0(7): 76-81.

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