基于国产GF-6 WFV多光谱图像的黑土区玉米秸秆覆盖度估算方法研究  

Estimating the Corn Residue Coverage in the Black Soil Region Using Chinese GF-6 WFV Multi-Spectral Remote Sensing Image

作　　者：孙中平 郑晓雄 徐丹 孙建欣 刘素红 曹飞 白爽 SUN Zhong-ping;ZHENG Xiao-xiong;XU Dan;SUN Jian-xin;LIU Su-hong;CAO Fei;BAI Shuang(Satellite Application Center for Ecology and Environment,Ministry of Ecology and Environment,Beijing 100094,China;Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China)

机构地区：[1]生态环境部卫星环境应用中心,北京100094 [2]北京师范大学地理科学学部,北京100875

出　　处：《光谱学与光谱分析》2025年第3期726-734,共9页Spectroscopy and Spectral Analysis

基　　金：国家重点研发计划项目(2021YFB3901105)资助。

摘　　要：黑土地是地球上极为珍贵的土壤资源,但长期高强度的利用加之土壤侵蚀,黑土层逐渐变薄、变瘦、变硬。作物秸秆覆盖是对黑土地实施保护的一种保护性措施,因此,秸秆覆盖度监测是保护性耕作措施实施程度的关键指标之一。国产高分六号(GF-6)卫星是中国首颗精准农业观测的高分卫星,相较于前几颗高分卫星,GF-6 WFV多光谱图像新增紫外波段、黄波段和两个对植被变化响应敏感的红边波段,新增光谱波段是否在黑土区作物秸秆覆盖度估算中具有应用潜力是本研究的探索目标。以保护性耕作“梨树模式”创建地的梨树县为研究区,选取2020年11月5日的GF-6 WFV多光谱图像,探索基于GF-6 WFV多光谱图像的秸秆光谱指数构建方法、基于像元二分法的秸秆覆盖度估算方法。研究结果表明:(1)由绿、红、近红外、紫外和黄波段组合的5种秸秆光谱指数与实测秸秆覆盖度的相关性较大,R^(2)大于0.5,能够解释超过50%的玉米秸秆覆盖度信息;(2)GF-6 WFV秸秆覆盖度估算结果与Sentinel-2 MSI、Landsat8 OLI估算结果之间存在较好的线性关系,决定系数R 2分别为0.833、0.732,进一步说明了国产GF-6 WFV多光谱图像用于秸秆覆盖度估算的可靠性和有效性;(3)利用像元二分法模型和考虑土壤背景差异可提高玉米秸秆覆盖度估算精度,与线性回归模型相比,像元二分法模型的估算精度R 2由0.740提高到0.769;考虑土壤质地分区后,像元二分法模型估算精度得到整体提升,R^(2)达到0.822。研究结果可为大区域范围内的作物秸秆覆盖度精确估算提供参考。Black soil is an extremely precious soil resource on Earth.Unfortunately,the black soil layer gradually becomes thinner,leaner,and harder due to long-term high-intensity utilization and soil erosion.Crop residue covering(CRC)is an important way to protect the black soil.Therefore,monitoring the crop residue coverage is one of the key indicators for assessing the implementation of conservation tillage measures.The Chinese Gaofen-6(GF-6)satellite is the first high-resolution satellite dedicated to precision agricultural observation.Compared with previous Chinese high-resolution satellites,there are four new bands in GF-6 including ultraviolet,yellow,and red-edge bands sensitive to vegetation changes.The main goal of this study is to determine whether these new spectral bands have potential applications in estimating crop residue coverage in black soil regions.The study was conducted in Lishu County where the“Lishu Model”of conservation tillage was set up.The GF-6 WFV multispectral image acquired on November 5,2020,was used to explore the potential of GF-6 WFV multispectral image for corn residue coverage estimation,including developing spectral indices and applying the Dimidiate Pixel Model.The research results indicate that(1)these 5 spectral indices including NDI87,NDI37,NDI47,NDI32 and NDI38,combined from green,red,near-infrared,ultraviolet,and yellow bands,were found to be more correlated with the measured residue coverage measured in the field,with the determination coefficient R 2 greater than 0.5,explaining more than 50%of the corn residue coverage information.(2)There were good correlations between the estimated CRC using GF-6 WFV multi-spectral image and the results using Sentinel-2 MSI and Landsat8 OLI multi-spectral image,with R^(2) of 0.833 and 0.732,respectively.This demonstrates the reliability and effectiveness of Chinese GF-6 WFV multispectral imagery for crop residue coverage estimation.(3)The estimation accuracy of corn residue coverage was improved by considering the black soil background and

关 键 词：国产卫星 GF-6 WFV多光谱图像 秸秆光谱指数 玉米秸秆覆盖度 黑土区 像元二分法 

分 类 号：P236[天文地球—摄影测量与遥感]