| 植被指数估算香格里拉地区植被覆盖度的精度对比分析 |
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| 引用本文： | 杨荣1,3,杨昆2,3,洪亮1,3,朱彦辉2,3. 植被指数估算香格里拉地区植被覆盖度的精度对比分析[J]. 水土保持研究, 2014, 21(3): 116-119 |
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| 作者姓名： | 杨荣1 3 杨昆2 3 洪亮1 3 朱彦辉2 3 |
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| 作者单位： | 1. 云南师范大学 旅游与地理科学学院, 昆明 650500;2. 云南师范大学 信息学院, 昆明 650500;3. 西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 |
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| 摘 要： | 利用MOD13Q1数据构建多种植被指数，结合像元二分模型对香格里拉县植被覆盖度进行遥感估算，并通过实测数据和TM影像数据相结合，对估算结果进行精度验证。结果表明:（1）构建的4种植被指数NDVI，EVI，RVI，MSAVI均与研究区实际地表植被覆盖度具有较高的相关性，表明使用遥感方法对香格里拉县进行植被覆盖度的估算是可行的；（2）通过与TM影像进行对比分析，4种植被指数中，利用MSAVI估算的植被覆盖度更接近于香格里拉县的实际情况。
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| 关 键 词： | 香格里拉县 植被指数 植被覆盖度 像元二分模型 MOD13Q1 |
Comparative Analysis on the Estimation Precision of Vegetation Coverage of Shangrila Based on Different Vegetation Indices |
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| YANG Rong1,3,YANG Kun2,3,HONG Liang1,3,ZHU Yan-hui2,3. Comparative Analysis on the Estimation Precision of Vegetation Coverage of Shangrila Based on Different Vegetation Indices[J]. Research of Soil and Water Conservation, 2014, 21(3): 116-119 |
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| Authors: | YANG Rong1 3 YANG Kun2 3 HONG Liang1 3 ZHU Yan-hui2 3 |
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| Affiliation: | 1. School of Tourism and Geographical Science, Yunnan Normal University, Kunming 650500, China;2. School of Information, Yunnan Normal University, Kunming 650500, China;3. GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education, Kunming 650500, China |
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| Abstract: | A variety of vegetation indices were established by using MOD13Q1 data, and estimation precision of the vegetation coverage was validated by measured data and TM image. The results show that: (1) established four vegetation indices (NDVI, EVI, RVI, MSAVI) have a higher correlation with actual vegetation coverage in the study area, indicating that the use of remote sensing method to estimate vegetation coverage is feasible in Shangrila County; (2) compared with TM image, the estimation result of vegetation coverage by using MSAVI is closer to the actual situation in Shangrila County than the results estimated by the other three kinds of indices. |
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| Keywords: | Shangrila County vegetation index vegetation coverage dimidiate pixel model MOD13Q1 |
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