NOAA AVHRR and its uses for rainfall and evapotranspiration monitoring
- 27 April 1989
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 10 (4-5) , 847-854
- https://doi.org/10.1080/01431168908903925
Abstract
NOAA-7 Advanced Very High Resolution Radiometer (AVHRR) Global Vegetation Indices (GVI) were used during the 1986 rainy season (June-September) over Senegal to monitor rainfall. The satellite data were used in conjunction with ground-based measurements so as to derive empirical relationships between rainfall and GVI. The regression obtained was then used to map the total rainfall corresponding to the growing season, yielding good results. Normalized Difference Vegetation Indices (NDVI) derived from High Resolution Picture Transmission (HRJT) data were also compared with actual evapotranspiration (ET) data and proved to be closely correlated with it with a time lapse of 20 days.Keywords
This publication has 9 references indexed in Scilit:
- Relative sensitivity of normalized difference vegetation Index (NDVI) and microwave polarization difference Index (MPDI) for vegetation and desertification monitoringPublished by Elsevier ,2003
- Rainfall and vegetation monitoring in the Savanna Zone of the Democratic Republic of Sudan using the NOAA Advanced Very High Resolution RadiometerInternational Journal of Remote Sensing, 1986
- Characteristics of maximum-value composite images from temporal AVHRR dataInternational Journal of Remote Sensing, 1986
- Satellite remote sensing of primary productionInternational Journal of Remote Sensing, 1986
- Interstation Correlations and Nonstationarity of Burkina Faso RainfallJournal of Climate and Applied Meteorology, 1986
- Canopy reflectance, photosynthesis and transpirationInternational Journal of Remote Sensing, 1985
- Analysis of the phenology of global vegetation using meteorological satellite dataInternational Journal of Remote Sensing, 1985
- Estimation of total above-ground phytomass production using remotely sensed dataRemote Sensing of Environment, 1985
- An experimentally derived model for actual evapotranspirationAgricultural Meteorology, 1971