The Moderate Imaging Spectroradiometer (MODIS) provides operationalproducts of the Normalized Difference Vegetation Index (NDVI), theEnhanced Vegetation Index (EVI), and the fraction of photosyntheticactive radiation (fPAR). FPAR can be used in productivity models, butagricultural applications depend on sub-pixel heterogeneity. Examplesfor heterogeneous areas are the irrigation systems of the inner Aral SeaBasin, where the 1 km fPAR product proved less suited. An alternativecan be to upscale fPAR to the 250 m scale, but there are few studiesevaluating this approach. In this study, the use of MODIS 250 m NDVI andEVI for this approach was investigated in an irrigation system inwestern Uzbekistan. The analysis was based on high resolution fPAR mapsand a crop map for the growing season 2009, derived from groundmeasurements and multitemporal RapidEye data. The data was used toexplore statistical relationships between RapidEye fPAR and MODISNDVI/EVI with respect to spatial heterogeneity. The correlations variedbetween products (daily NDVI, 8-day NDVI, 16-day NDVI/EVI), with resultssuggesting that 8-day NDVI performed best. The analyses and the compiledfPAR maps show that, compared to 1 km MODIS fPAR, the 250 m scale ismore homogeneous, allows for crop-specific analyses, and better capturesthe spatial patterns in the study region.
CITATION STYLE
Fritsch, S., Machwitz, M., Conrad, C., & Dech, S. (2011). Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (Vol. 8174, p. 81740N). SPIE. https://doi.org/10.1117/12.898333
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