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Relationship between satellite-derived Normalized Difference Vegetation Index (NDVI) and surface hydrology
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pinheiro, Ana C. T. |
| Copyright Year | 1998 |
| Abstract | Recently, particular attention has been given to the study of seasonal to interannual global climate variability with the goal to obtain a predictive understanding of short-term climate fluctuations and be able to predict extreme environmental conditions such as droughts. Since vegetative processes are strongly dependent on water availability, large scale observations of vegetation allow monitoring of drought conditions. Due to the unique spectral properties of plant leaves, remote sensing has proven to be very useful in monitoring vegetation. The present study analyzes the spatial and temporal relationship between Normalized Difference Vegetation Index (NDVI), soil moisture and precipitation data, in Europe, for the period between 1982 and 1990. Five homogeneous areas are selected in order to evaluate, for different latitudes, the degree of correlation between the three different parameters. The results show higher correlations between NDVI and soil moisture than between NDVI and precipitation. In both cases higher magnitude, in positive correlations, were found in the south of Europe, since there water tends to be a strong limiting factor for vegetation growth. The study highlights the need for caution when extrapolating the results due to the limitations inherent to the datasets and parameters used. Thesis Supervisor: Dara Entekhabi Title: Career Development Associated Professor Ana T. Pinheiro Relationship between Satellite-Derived Normalized Difference Vegetation Index (NDVI) and Surface Hydrology |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://dspace.mit.edu/bitstream/handle/1721.1/46149/39784383-MIT.pdf?sequence=2 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |