Time‐series validation of MODIS land biophysical products in a Kalahari woodland, Africa

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Time series validation of MODIS land biophysical products in a Kalahari woodland Africa.pdf (463.72 KB)

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https://www.tandfonline.com/doi/full/10.1080/01431160500113393

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https://doi.org/10.1080/01431160500113393
 http://hdl.handle.net/11603/31531

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UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Faculty Collection
UMBC Geography and Environmental Systems Department
UMBC GESTAR II

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Author/Creator ORCID

https://orcid.org/0000-0003-4148-9108

Date

2007-02-22

Type of Work

journal articles
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Citation of Original Publication

K. F. Huemmrich , J. L. Privette , M. Mukelabai , R. B. Myneni & Y. Knyazikhin (2005) Time‐series validation of MODIS land biophysical products in a Kalahari woodland, Africa, International Journal of Remote Sensing, 26:19, 4381-4398, DOI: 10.1080/01431160500113393

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0 Universal

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Abstract

Monthly measurements of leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (𝑓APAR) taken at approximately monthly intervals were collected along three 750 m transects in a Kalahari woodland near Mongu in western Zambia. These data were compared with MODIS NDVI (MOD13, Collection 3) and MODIS LAI and 𝑓APAR products (MOD15, Collection 3) over a 2 year period (2000–2002). MODIS and ground‐measured LAI values corresponded well, while there was a significant bias between MODIS and ground‐measured 𝑓APAR even though both MODIS variables are produced from the same algorithm. Solar zenith angle effects, differences between intercepted and absorbed photosynthetically active radiation, and differences in measurement of 𝑓APAR (photon counts versus energy) were examined and rejected as explanations for the discrepancies between MODIS and ground‐measured 𝑓APAR. Canopy reflectance model simulations produced different values of 𝑓APAR with the same LAI when canopy cover was varied, indicating that errors in the estimation of canopy cover in the MODIS algorithm due to the land cover classification used are a possible cause of the 𝑓APAR discrepancy. This is one of the first studies of MODIS land product performance in a time‐series context. Despite a bias in 𝑓APAR, our results demonstrate that the woodland canopy phonology is captured in the MODIS product.