Spatial variability of images and the monitoring of changes in the Normalized Difference Vegetation Index
- 1 August 1995
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 16 (12) , 2187-2195
- https://doi.org/10.1080/01431169508954550
Abstract
Pairs of Landsat Multispectral Scanner System images from seven contrasting areas were analysed using scale variance analysis to determine the spatial frequencies present. Specifically images of the Normalized Difference Vegetation Index (NDVI) were analysed, which is sensitive to vegetation activity. Analyses were performed on images for each of the two dates and change images derived by subtracting the NDVI values of the first images from those of the second date. As expected the change images were characterized by higher spatial frequencies than the images of individual dates, but this was only marked for four of the seven areas. Contrary to initial expectations, knowledge of the spatial frequency content of the images from the two dates could not be used to infer the spatial frequencies present in the change images and hence the spatial resolutions needed for detecting change in the NDVI.Keywords
This publication has 13 references indexed in Scilit:
- Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFEJournal of Geophysical Research: Atmospheres, 1992
- Relations between surface conductance and spectral vegetation indices at intermediate (100 m2 to 15 km2) length scalesJournal of Geophysical Research: Atmospheres, 1992
- Representation of vegetation by continental data sets derived from NOAA-AVHRR dataInternational Journal of Remote Sensing, 1991
- The spatial variation of vegetation changes at very coarse scalesInternational Journal of Remote Sensing, 1990
- Linking knowledge among spatial and temporal scales: Vegetation, atmosphere, climate and remote sensingLandscape Ecology, 1988
- Selecting a spatial resolution for estimation of per-field green leaf area indexInternational Journal of Remote Sensing, 1988
- Selecting the spatial resolution of satellite sensors required for global monitoring of land transformationsInternational Journal of Remote Sensing, 1988
- The First ISLSCP Field Experiment (FIFE)Bulletin of the American Meteorological Society, 1988
- Multispectral remote sensing for the estimation of green leaf area indexPhilosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1983
- Information extraction from remotely sensed data.International Journal of Remote Sensing, 1981