Research Papers

Spatial scale conversion approach for moderate-resolution imaging spectroradiometer leaf area index product validation

[+] Author Affiliations
Yun-ping Chen

University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue West High-tech Zone, Chengdu 611731, China

Columbia University, Lamont-Doherty Earth Observatory, 61 Route 9W, 6 Marine Biology, Palisades, New York 10964-8000

Wei Wei

University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue West High-tech Zone, Chengdu 611731, China

Angelica E. Patterson

Columbia University, Lamont-Doherty Earth Observatory, 61 Route 9W, 6 Marine Biology, Palisades, New York 10964-8000

Ling Tong

University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue West High-tech Zone, Chengdu 611731, China

J. Appl. Remote Sens. 7(1), 073463 (Dec 16, 2013). doi:10.1117/1.JRS.7.073463
History: Received June 5, 2013; Revised November 11, 2013; Accepted November 13, 2013
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Abstract.  This paper proposes a new spatial scale conversion method, which validates moderate resolution imaging spectroradiometer (MODIS) leaf area index (LAI) product when geometry information from the MODIS 1B product and classification result is combined. The in situ LAI data, Landsat Thematic Mapper (TM), and MODIS 1B product were utilized in this research. An object-oriented method was used to classify TM imaging, where each class was computed using an empirical model to achieve LAI respectively. The 30-m TM LAI image was aggregated into the MODIS 1B product based on the geometry information of MODIS 1B. The simulated MODIS 1B image was then converted into a MODIS LAI product and compared with the simulated LAI map pixel by pixel. The results showed a lower root mean square error and higher normalization of the absolute error with the new method. In addition, the field LAI was not significantly correlated with MODIS LAI, but it did show a strong correlation with TM LAI. The new method achieved a higher correlate coefficient with the MODIS product than the conventional methods. Using this validation method based on classification and image simulation can improve the accuracy of product certification.

© 2013 Society of Photo-Optical Instrumentation Engineers

Topics

MODIS

Citation

Yun-ping Chen ; Wei Wei ; Angelica E. Patterson and Ling Tong
"Spatial scale conversion approach for moderate-resolution imaging spectroradiometer leaf area index product validation", J. Appl. Remote Sens. 7(1), 073463 (Dec 16, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073463


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