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| 基于GIS的公路沿线地表植被变化遥感监测——以昆石公路为例 | |
| 引用本文： | 贾治革,袁希平,甘淑,刘小利.基于GIS的公路沿线地表植被变化遥感监测——以昆石公路为例[J].云南地理环境研究,2006,18(5):43-47. |
| 作者姓名： | 贾治革 袁希平 甘淑 刘小利 |
| 作者单位： | 1. 昆明理工大学,云南,昆明,650093;湖北省地震局,湖北,武汉,430071 2. 昆明理工大学,云南,昆明,650093 3. 云南大学,云南,昆明,650091 4. 武汉大学,湖北,武汉,430079 |
| 摘 要： | 随着道路网络的发展所带来的许多生态效应，道路沿线生态环境及其安全分析显得越来越重要。以昆石公路为例，利用多时相遥感影像和GPS定位调查等数据，对公路沿线区域地表植被覆盖变化信息进行了测定与分析理解。研究采用不同时相的NDVI图像进行彩色合成直观反映地表植被的变化信息；对不同时相NDVI图像进行NDVI值分级和彩色压缩以定量和定性地描述区域地表植被的变化情况；将多时相NDVI彩色合成图进行IHS变换获取变化类型图，对植被覆盖变化进行定量分析；最后结合资源与生态环境信息数据库中有关信息进行植被覆盖变化影响因素分析。 |
| 关 键 词： | 植被覆盖 归一化植被指数 多时相遥感 地理信息系统 |
| 文章编号： | 1001-7852(2006)05-0043-05 |
| 收稿时间： | 2006-03-28 |
| 修稿时间： | 2006-05-12 |
GIS-ASSISTED REMOTE SENSING DYNAMIC MONITORING ON SURFACE VEGETATION COVER CHANGE AROUND ROAD:A CASE STUDY OF KUNSHI ROAD |
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| JIA Zhi-ge,YUAN Xi-ping,GAN Shu,LIU Xiao-li.GIS-ASSISTED REMOTE SENSING DYNAMIC MONITORING ON SURFACE VEGETATION COVER CHANGE AROUND ROAD:A CASE STUDY OF KUNSHI ROAD[J].Yunnan Geographic Environment Research,2006,18(5):43-47. | |
| Authors: | JIA Zhi-ge YUAN Xi-ping GAN Shu LIU Xiao-li |
| Institution: | 1.Kunming University of Science and Technology, Kunming 650093, Yunan. China; 2.Hubei Seismological Bureau. Wuhan 430071. Hubei, China; 3.Yunnan University, Kunming650091, Yunnan, China; 4. Wuhan University. Wuhan 430079 , Hubei, China |
| Abstract: | Road and road networks bring forth many ecological effects, as they run through all kinds of landscapes. So, it is very important to gain ecological information around road for monitor ecological environment. Dynamic change monitor and estimation on ecological environment around road contribute to sound exploitation of the natural resources, maintenance of region ecological environment, and sustainable development of land. Compared with the conventional monitoring technologies, a novel approach is presented to soundly integrate GPS, GIS and RS data based on multi-temporal remote sensing images in this paper. Based on ERDAS IMAGINE8.7 platform, the first is to create NDVI colour synthesis image with different multi-temporal NDVI images for obtaining the change of the surface vegetation directly. The second is to make NDVI value grading and colour density images for illustrating surface vegetation cover changing quantitatively. Focus on confirmation of the above results, IHS components classification from color space transformation is used for quantitative analysis of vegetation change. In the end, study results are managed and analyzed by the resource and ecological environment database based on ArcView3.2 platform. Based on the case, the results show that especially in mountainous area, the way of ecological environment dynamic monitoring by multi-temporal remote sensing images with the supporting of GIS is one of the practicable, effective to implement method. |
| Keywords: | vegetation cover NDVI value multi-temporal remote sensing geographic information system |
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