You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
6 October 2011Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region
The Moderate Imaging Spectroradiometer (MODIS) provides operational products of the Normalized Difference
Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the fraction of photosynthetic active radiation
(fPAR). FPAR can be used in productivity models, but agricultural applications depend on sub-pixel heterogeneity.
Examples for heterogeneous areas are the irrigation systems of the inner Aral Sea Basin, where the 1 km fPAR product
proved less suited. An alternative can be to upscale fPAR to the 250 m scale, but there are few studies evaluating this
approach. In this study, the use of MODIS 250 m NDVI and EVI for this approach was investigated in an irrigation
system in western Uzbekistan. The analysis was based on high resolution fPAR maps and a crop map for the growing
season 2009, derived from ground measurements and multitemporal RapidEye data. The data was used to explore
statistical relationships between RapidEye fPAR and MODIS NDVI/EVI with respect to spatial heterogeneity. The
correlations varied between products (daily NDVI, 8-day NDVI, 16-day NDVI/EVI), with results suggesting that 8-day
NDVI performed best. The analyses and the compiled fPAR maps show that, compared to 1 km MODIS fPAR, the 250 m
scale is more homogeneous, allows for crop-specific analyses, and better captures the spatial patterns in the study region.
The alert did not successfully save. Please try again later.
Sebastian Fritsch, Miriam Machwitz, Christopher Conrad, Stefan Dech, "Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region," Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81740N (6 October 2011); https://doi.org/10.1117/12.898333