Albedo-NDVI特征空间及沙漠化遥感监测指数研究

doi:10.13249/j.cnki.sgs.2006.01.75

地理科学 ›› 2006, Vol. 26 ›› Issue (1): 75-81.doi: 10.13249/j.cnki.sgs.2006.01.75

Albedo-NDVI特征空间及沙漠化遥感监测指数研究

曾永年^1,2, 向南平^1,3, 冯兆东², 徐豁⁴

1. 中南大学信息物理工程学院中南大学空间信息技术与可持续发展研究中心, 湖南长沙 410083;
2. 兰州大学西部环境教育部重点实验室, 甘肃兰州 730000;
3. 辽宁工程技术大学地理空间信息技术与应用实验室, 辽宁阜新 12300;
4. 华北科技学院建筑工程系, 北京 101601

收稿日期:2004-10-18 修回日期:2005-02-02 出版日期:2006-01-20 发布日期:2006-01-20
基金资助:
国家自然科学基金项目(NO.40071066)、辽宁工程技术大学地理空间信息技术与应用实验室基金(编号:2005012)、教育部重大项目(NO.10425)、教育部骨干教师资助计划项目资助。

Albedo-NDVI Space and Remote Sensing Synthesis Index Models for Desertification Monitoring

ZENG Yong-Nian^1,2, XIANG Nan-Ping^1,3, FENG Zhao-Dong², HU Huo⁴

1. School of Info-Physics and Geomatics Engineering, Changsha, Hunan 410083;
2. National Laboratory of Western China's Environmental System, Lanzhou University, Lanzhou, Gansu 730000;
3. Geomatice and Application Laboratory, Liaoning Technical University, Faxin, Liaoning 12300;
4. Department of Architectural Engineering, North China Institute of Science and Technology, Beijing 101601

Received:2004-10-18 Revised:2005-02-02 Online:2006-01-20 Published:2006-01-20

摘要/Abstract

摘要： 利用遥感数据和野外调查数据分析了沙漠化与地表定量参数之间的关系,提出了Albedo-NDVI特征空间的概念以及基于Albedo-NDVI特征空间的沙漠化遥感监测模型,即沙漠化遥感监测差值指数模型(DDI)。这个模型充分利用了多维遥感信息,指标反映了沙漠化土地地表覆盖、水热组合及其变化,具有明确的生物物理意义。而且指标简单、易于获取,有利于沙漠化的定量分析与监测。

Abstract: Normalized Difference Vegetation Index (NDVI) and land surface albedo are very important biophysical parameters of land surface. In this paper we analyzed quantitatively the relationship between the severity of desertification and vegetation index (NDVI) and albedo. Through experiment and theoretical reasoning, we proposed a conception of Albedo-NDVI space and discussed its biophysical characteristics. Then, we analyzed the locations of different land cover classes and the trajectory of desertification in the Albedo-NDVI space. This knowledge can be used to improve current strategies for desertification mapping and change monitoring, by defining measurements in this feature space. Therefore, we present a methodology to monitor severity of desertification. Desertification field data, available data in the literature, and ancillary data were linked with land cover characteristics (vegetation index, land surface albedo) derived from Landsat ETM⁺ multispectral image. The desertification synthetic index, desertification difference index (DDI), was produced, which combined information contained in the Albedo-NDVI space. This synthesis index is easy to use and possess biophysical properties of the land surface. We proposed this synthesis index as powerful one for desertification assessment.

中图分类号:

V557⁺.3/P931.3

曾永年, 向南平, 冯兆东, 徐豁. Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J]. 地理科学, 2006, 26(1): 75-81.

ZENG Yong-Nian, XIANG Nan-Ping, FENG Zhao-Dong, HU Huo. Albedo-NDVI Space and Remote Sensing Synthesis Index Models for Desertification Monitoring[J]. SCIENTIA GEOGRAPHICA SINICA, 2006, 26(1): 75-81.

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Albedo-NDVI特征空间及沙漠化遥感监测指数研究

Albedo-NDVI Space and Remote Sensing Synthesis Index Models for Desertification Monitoring

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