The surface temperature-vegetation index space for land cover and land-cover change analysis

@article{citeulike:2813400, abstract = {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, Ts) 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 TS-VI space. Second, we analyse the seasonal time trajectories of different biomes in the TS-NDVI space. Third, we measure the relative role of multi-temporal NDVI and Ts data in the discrimination of land cover classes for land-cover mapping. Fourth, we analyse trajectories of land-cover change in the TS-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 Tj-NDVI space.}, author = {Lambin, E. F. and Ehrlich, D. }, citeulike-article-id = {2813400}, doi = {http://dx.doi.org/10.1080/01431169608949021}, journal = {International Journal of Remote Sensing}, keywords = {lst, moisture-index, ndvi, satellite, tvdi, vegetation}, number = {3}, pages = {463--487}, posted-at = {2008-05-19 16:18:23}, priority = {2}, publisher = {Taylor \& Francis}, title = {The surface temperature-vegetation index space for land cover and land-cover change analysis}, url = {http://dx.doi.org/10.1080/01431169608949021}, volume = {17}, year = {1996} }

TY - JOUR ID - citeulike:2813400 L3 - citeulike-article-id:2813400 TI - The surface temperature-vegetation index space for land cover and land-cover change analysis JF - International Journal of Remote Sensing VL - 17 IS - 3 SP - 463 EP - 487 PB - Taylor & Francis N2 - 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, Ts) 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 TS-VI space. Second, we analyse the seasonal time trajectories of different biomes in the TS-NDVI space. Third, we measure the relative role of multi-temporal NDVI and Ts data in the discrimination of land cover classes for land-cover mapping. Fourth, we analyse trajectories of land-cover change in the TS-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 Tj-NDVI space. KW - lst KW - moisture-index KW - ndvi KW - satellite KW - tvdi KW - vegetation AU - Lambin, EF AU - Ehrlich, D PY - 1996/// UR - http://dx.doi.org/10.1080/01431169608949021 ER -