On the relationship between monthly mean and maximum-value composite normalized vegetation indices
- 1 August 1989
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 10 (8) , 1317-1325
- https://doi.org/10.1080/01431168908903970
Abstract
A relationship between the maximum-value composite and monthly mean normalized difference vegetation index (NDVI) is derived statistically using data over the U.S. Great Plains during 1986. The monthly mean NDVI is obtained using a simple nine-day compositing technique based on the specifics of the scan patterns of the NOAA-9 Advanced Very High Resolution Radiometer (AVHRR). The results indicate that these two quantities are closely related over grassland and forest during the growing season. It is suggested that in such areas a monthly mean NDVI can be roughly approximated by 80 per cent of the monthly maximum NDVI, the latter being a standard satellite data product. The derived relationship was validated using data for the growing season of 1987.This publication has 7 references indexed in Scilit:
- The derivation of vegetation indices from AVHRR dataInternational Journal of Remote Sensing, 1987
- Cloud screening for determination of land surface characteristics in a reduced resolution satellite data setInternational Journal of Remote Sensing, 1987
- Characteristics of maximum-value composite images from temporal AVHRR dataInternational Journal of Remote Sensing, 1986
- Analysis of the phenology of global vegetation using meteorological satellite dataInternational Journal of Remote Sensing, 1985
- Global Vegetation Indices from the NOAA-7 Meteorological SatelliteJournal of Climate and Applied Meteorology, 1984
- Satellite remote sensing of total dry matter production in the Senegalese SahelRemote Sensing of Environment, 1983
- Evaluation of NOAA-AVHRR data for crop assessmentApplied Optics, 1982