Title :
Monitoring global vegetation with the Yearly Land Cover Dynamics (YLCD) method
Author :
Julien, Yves ; Sobrino, Jose A.
Author_Institution :
Imaging & Process. Lab., Univ. of Valencia, Valencia, Spain
Abstract :
Global vegetation has been traditionally monitored mainly through the use of the Normalized Difference Vegetation Index (NDVI). Land surface temperature (LST) provides additional information, and is generally less affected by atmospheric conditions when water vapor is taken into account. The Yearly Land Cover Dynamics (YLCD) method can then be used to retrieve 3 parameters which allow for a good differentiation between biomes at the global and local levels. Using NASA´s Long Term Data Record (LTDR), the YLCD method has been applied to IDR (iterative Interpolation for Data Reconstruction) reconstructed LTDR data, in order to account for atmospheric contamination of part of the dataset for a few selected pixels. The evolution of the retrieved YLCD parameters is monitored throughout the 20-year span of the LTDR dataset.
Keywords :
atmospheric humidity; land surface temperature; vegetation mapping; LTDR data; LTDR dataset; NASA Long Term Data Record; YLCD method; atmospheric conditions; atmospheric contamination; global vegetation; iterative Interpolation for Data Reconstruction; land surface temperature; normalized difference vegetation index; vegetation monitoring; water vapor; yearly land cover dynamics; Earth; Land surface temperature; Monitoring; Remote sensing; Satellites; Temperature sensors; Vegetation mapping; LST; NDVI; Yearly Land Cover Dynamics (YLCD); vegetation monitoring;
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the
Conference_Location :
Trento
Print_ISBN :
978-1-4577-1202-9
DOI :
10.1109/Multi-Temp.2011.6005063