李宇宸, 张军, 张萍, 薛宇飞, 李雁, 陈晨. 基于Sentinel-2卫星遥感影像的云南省文山州三七种植面积估算研究[J]. 云南大学学报(自然科学版), 2022, 44(1): 89-97. doi: 10.7540/j.ynu.20200432
引用本文: 李宇宸, 张军, 张萍, 薛宇飞, 李雁, 陈晨. 基于Sentinel-2卫星遥感影像的云南省文山州三七种植面积估算研究[J]. 云南大学学报(自然科学版), 2022, 44(1): 89-97. doi: 10.7540/j.ynu.20200432
LI Yu-chen, ZHANG Jun, ZHANG Ping, XUE Yu-fei, LI Yan, CHEN Chen. Study on area of Panax notoginseng in Wenshan Prefecture of Yunnan Province based on Sentinel-2[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(1): 89-97. DOI: 10.7540/j.ynu.20200432
Citation: LI Yu-chen, ZHANG Jun, ZHANG Ping, XUE Yu-fei, LI Yan, CHEN Chen. Study on area of Panax notoginseng in Wenshan Prefecture of Yunnan Province based on Sentinel-2[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(1): 89-97. DOI: 10.7540/j.ynu.20200432

基于Sentinel-2卫星遥感影像的云南省文山州三七种植面积估算研究

Study on area of Panax notoginseng in Wenshan Prefecture of Yunnan Province based on Sentinel-2

  • 摘要: 中药材多种植在自然条件适宜的山区,其种植区域地形复杂,种植地块多呈不规则碎片状,采用传统调查方法难以准确地计算种植面积和估测产量. 卷积神经网络(Convolutional Neural Network,CNN)在遥感影像中准确高效地提取农作物空间分布有着较好的实验效果. 因此,将CNN的特征提取能力应用于中药材种植,通过Sentinel-2卫星遥感影像结合实地调查数据,实现对云南省文山州的中药资源三七的种植面积的实时监测,其提取的总体精度OA为95.57%,Kappa系数为0.91,存在部分细碎阴影区域与三七荫棚的混淆,但整体提取效果较好. 结果发现文山州三七种植集中分布于西北部,而东南部则因为地形、温度等综合因素而种植较少. 此外,因三七对土壤水分有特殊要求,93.57%的三七种植于25°以下的斜坡上,而坡向是影响三七日照时长和光照强度的因素,70.40%的三七选择种植在半阴坡和半阳坡.

     

    Abstract: Chinese herbs are mostly grown in mountainous areas where natural conditions are suitable, and their cultivation areas are complex, with irregularly fragmented plots, making it difficult to accurately calculate cultivation areas and estimate yields using traditional survey methods. Convolutional Neural Network (CNN) has a good effect in accurately and efficiently extracting the spatial distribution of crops in remote sensing images. Therefore, the feature extraction capability of CNN was combined with the application of Chinese herbal medicine, and the real-time monitoring of the planting area of panax notoginseng, a Chinese herbal medicine resource in Wenshan Prefecture, Yunnan Province, was achieved by combining Sentinel-2 images with survey data. The overall accuracy of its extraction was 95.57% and the Kappa coefficient was 0.91, and there was confusion between some fine shadows and greenhouse of panax notoginseng, but the overall extraction effect is better. The results show that Panax notoginseng cultivation in Wenshan is concentrated in the north-western part of the prefecture, while the south-eastern part is less cultivated due to such comprehensive factors as topography and temperature. In addition, 93.57% of panax notoginseng is planted on slopes below 25° due to its special requirements for soil moisture, while slope orientation is a factor affecting the length of sunlight and light intensity of panax notoginseng, and 70.40% of panax notoginseng is chosen to be planted on semi-shady and semi-sunny slopes.

     

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