Share Email Print

Proceedings Paper

Simulated analysis of dependency of vegetation index on spatial resolution of sensors by QuickBird and ASTER
Author(s): Keiji Osaki
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 10 November 2004
PDF: 10 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565480
Show Author Affiliations
Keiji Osaki, International Christian Univ. (Japan)

Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

© SPIE. Terms of Use
Back to Top