10 November 2004 Simulated analysis of dependency of vegetation index on spatial resolution of sensors by QuickBird and ASTER
Author Affiliations +
Abstract
Through the analysis of the variograms for the entire scenes and local small areas, it is revealed that the ground spatial correlation length in NDVI map and sensor spatial resolution shows a linear relation in log-log plot. In order to search dependency of NDVI on spatial resolution of sensor, Haar discrete wavelet transform is exploited to derive resolution-reduced coarse data from the finest resolution data with sensor resolution of 2.8m acquired by Quickbird. To ensure obtained results of dependency of NDVI in simulated data with different resolutions, ASTER and MODIS data are also incorporated as well as data from Quickbird. It is shown decreasing tendency of standard deviation of NDVI values is proportional to the log of the sensor resolution. It also detected that the "range" of variogram is larger for area, which contains much natural objects such as vegetation than for area like urban area including many artifacts. It is desirable that we should take into account the ground spatial scale, which fits the sensor spatial resolution depending on the cover types, and the scale of areas to be investigated.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Keiji Osaki, Keiji Osaki, } "Simulated analysis of dependency of vegetation index on spatial resolution of sensors by QuickBird and ASTER", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565480; https://doi.org/10.1117/12.565480
PROCEEDINGS
10 PAGES


SHARE
Back to Top