The surface temperature-vegetation index space for land cover and land-cover change analysis
The surface temperature-vegetation index space for land cover and land-cover change analysis
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DOI：
10.1080/01431169608949021
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发表时间：
1996-02-01
影响因子：
3.4
通讯作者：
Ehrlich, D
中科院分区：
文献类型：
--
作者：
Lambin, EF;Ehrlich, D
大多数粗尺度遥感数据在土地覆盖制图和土地覆盖变化分析中的应用都是基于多时相归一化差异植被指数（NDVI）数据。最近的经验研究已经证明，热红外辐射的测量的组合（例如，土地亮温（T-s）和植被指数（VI）改进了大尺度土地覆盖的绘图和监测。我们调查这样一个组合的生物物理的理由，使用10年的高级甚高分辨率辐射计（AVHRR）的全球区域覆盖（GAC）的数据在非洲大陆。首先，我们回顾最近的研究结果的生物物理解释的T-S-VI空间。其次，我们分析了不同的生物群落在T-S-NDVI空间的季节时间轨迹。第三，我们衡量的相对作用，多时相的NDVI和T-S数据在土地覆盖制图的土地覆盖类的歧视。第四，我们分析了研究地点在三种不同的环境中的T-S-NDVI空间的土地覆盖变化的轨迹。我们说明了有用的T-S和VI之间的比率作为一个指数进行测量的T-S-NDVI空间。
Most previous applications of coarse scale remote sensing data for land-cover mapping and land-cover change analysis were based on multi-temporal Normalized Difference Vegetation Index (NDVI) data. Recent empirical studies have documented that the combination of measurements of thermal infrared radiation (e.g., land brightness temperature, T-s) and vegetation indices (VI) improves the mapping and monitoring of land cover at broad scales. We investigate the biophysical justification for such a combination, using 10 years of Advanced Very High Resolution Radiometer (AVHRR) global area coverage (GAC) data over the African continent. First, we review recent findings on the biophysical interpretation of the T-s-VI space. Second, we analyse the seasonal time trajectories of different biomes in the T-s-NDVI space. Third, we measure the relative role of multi-temporal NDVI and T-s data in the discrimination of land cover classes for land-cover mapping. Fourth, we analyse trajectories of land-cover change in the T-s-NDVI space for study sites in three different environments. We illustrate the usefulness of the ratio between T-s and VI as an index to perform measurements in the T-s-NDVI space.