生态学杂志2024，Vol.43Issue(9)：2658-2666,9.DOI:10.13292/j.1000-4890.202409.011
基于高分辨率卫星影像的农田防护林林带保存率遥感识别
Identification of preservation rate for farmland shelterbelt from high-resolution remote sensing imagery
摘要
Abstract
The preservation rate of farmland shelterbelts reflects the integrity of the shelterbelt structure,determi-ning the protection effectiveness of shelterbelts.Although traditional field measured data of shelterbelt preservation rate are accurate,this method could not meet the needs for rapid and large-scale monitoring.It is of great impor-tance to obtain the information of shelterbelt preservation rate by remote sensing,which could be significantly help-ful for the structural and functional research and precise management of farmland shelterbelts.In this study,using the shelterbelt vector line and vegetation fraction data extracted from Jilin-1 high-resolution multispectral remote sensing images,a set of ordered points were extracted along the belt orientation and belt width directions by consid-ering each shelterbelt as a two-dimensional matrix.The shelterbelt boundary was recognized by analyzing the wave-form characteristics,and the shelterbelt pixels were determined by the threshold value.Finally,the preservation rate of farmland shelterbelts was identified from the remote sensing image,which were further verified by the refer-ence data(sample number was 160).There were three main findings.(1)The remote sensing identification results and the reference data was significantly correlated(R2=0.936),and the average absolute error was 5.4％,indica-ting a high overall accuracy.(2)The identification results in different belt directions were highly correlated with the reference data.The correlation in north-south direction was relatively low,which may be affected by belt shadows.(3)The absolute error of identification results increased first and then decreased with the increases of preservation rate.The absolute error was the smallest in high preservation rate(＞80％)and low preservation rate(＜20％),and the largest in the middle state,especially in the interval of 50％-60％,because these shelterbelts were more frag-mented,with small and numerous gaps.In summary,the preservation rate of farmland shelterbelt can be accurately identified based on high-resolution multispectral satellite images.This method promotes the ability of remote sensing monitoring for shelterbelt structure,which could provide technical support for accurate monitoring the structure and function of farmland shelterbelts.关键词
农田防护林/林带结构/遥感/农林系统Key words
farmland shelterbelt/belt structure/remote sensing/agroforestry system引用本文复制引用
邓荣鑫,幸泽峰,李颖,张兴,杨高,李世明,贾孟豪..基于高分辨率卫星影像的农田防护林林带保存率遥感识别[J].生态学杂志,2024,43(9):2658-2666,9.基金项目
国家自然科学基金面上项目(31971723)和河南省高等学校青年骨干教师培养计划项目(2020GGJS101)资助. （31971723）
