Urban environment has functioned not only for ecological reason but also for socioeconomic function, due to this reason extraction of urban vegetation in highly dense urban environment becomes more important to unders...Urban environment has functioned not only for ecological reason but also for socioeconomic function, due to this reason extraction of urban vegetation in highly dense urban environment becomes more important to understand the inhabitants’ satisfaction of urban green space. With a medium resolution of satellite imagery, the precision is very low. We used high resolution of WorldView-2 satellite to raise the accuracy. We chose Depok City in West Java as a case study area, analyse four multispectral bands, and apply TCT algorithm for getting vegetation density. The relationship between vegetation density and inhabitants’ satisfaction was calculated by Geo-statistical technique based on administrative boundary. We extracted three types of urban vegetation density: good, mid and low. The final result shows that the inhabitants are mostly satisfied with good density of urban vegetation in the city forest inside Campus University of Indonesia.展开更多
地表植被作为人类自然生态系统的一个重要组成部分,在减轻土壤侵蚀、维持生态平衡、提高防风固沙能力,以及维持局部区域经济可持续发展等许多方面都发挥着重要的主导作用。近年来,卫星遥感技术凭借其大范围、多尺度、多时相的优势,已经...地表植被作为人类自然生态系统的一个重要组成部分,在减轻土壤侵蚀、维持生态平衡、提高防风固沙能力,以及维持局部区域经济可持续发展等许多方面都发挥着重要的主导作用。近年来,卫星遥感技术凭借其大范围、多尺度、多时相的优势,已经成为一种低成本、高效率的植被覆盖估计算法,在植被提取和变化监测中表现出了重要的应用价值。论文以榆林市毛乌素沙漠地区为主要研究区域,利用手机可视化虚拟图像处理环境(Environment for Visualizing Images,ENVI)分析软件对landsat8遥感影像进行地表植被的信息提取,采用不同的监督分类方法对植被信息进行分类提取,并对不同的监督分类结果进行质量精度分析评定。结果表明,神经网络方法较其他方法在沙漠植被提取方面表现出较优的性能,可以实现对沙漠植被的动态变化监测。展开更多
文摘为准确快速获取喀斯特石漠化地区植被和植被覆盖度信息,本研究利用四旋翼无人机采集喀斯特石漠化区域的可见光影像,选择过绿指数(EXG,excess green)、可见光波段差异植被指数(VDVI,visible-band difference vegetation indx)、红绿蓝植被指数(RGBRI,red green and blue vegetation index)、过绿减过红指数(ExG-ExR,excess green-excess red),利用植被指数时序图交点法和样本统计法思想,运用阈值分割法进行植被和植被覆盖度的信息提取,并以监督分类得到的植被和植被覆盖度信息为真实值,进行精度验证。结果表明,在贵州省关岭贞丰花江喀斯特石漠化地区,对于植被信息提取,ExG-ExR的精度最高,总体精度为95.56%,Kappa系数为0.919;ExG-ExR得到的植被覆盖度精度最好,为99.174%,均方根误差RMSE为0.097,R2为0.977。由此可见,在喀斯特地区利用植被指数时序图交点法和样本统计法思想,适合该地区的植被信息提取和植被覆盖度的提取,具有较高的精度。
文摘Urban environment has functioned not only for ecological reason but also for socioeconomic function, due to this reason extraction of urban vegetation in highly dense urban environment becomes more important to understand the inhabitants’ satisfaction of urban green space. With a medium resolution of satellite imagery, the precision is very low. We used high resolution of WorldView-2 satellite to raise the accuracy. We chose Depok City in West Java as a case study area, analyse four multispectral bands, and apply TCT algorithm for getting vegetation density. The relationship between vegetation density and inhabitants’ satisfaction was calculated by Geo-statistical technique based on administrative boundary. We extracted three types of urban vegetation density: good, mid and low. The final result shows that the inhabitants are mostly satisfied with good density of urban vegetation in the city forest inside Campus University of Indonesia.
文摘地表植被作为人类自然生态系统的一个重要组成部分,在减轻土壤侵蚀、维持生态平衡、提高防风固沙能力,以及维持局部区域经济可持续发展等许多方面都发挥着重要的主导作用。近年来,卫星遥感技术凭借其大范围、多尺度、多时相的优势,已经成为一种低成本、高效率的植被覆盖估计算法,在植被提取和变化监测中表现出了重要的应用价值。论文以榆林市毛乌素沙漠地区为主要研究区域,利用手机可视化虚拟图像处理环境(Environment for Visualizing Images,ENVI)分析软件对landsat8遥感影像进行地表植被的信息提取,采用不同的监督分类方法对植被信息进行分类提取,并对不同的监督分类结果进行质量精度分析评定。结果表明,神经网络方法较其他方法在沙漠植被提取方面表现出较优的性能,可以实现对沙漠植被的动态变化监测。
