DocumentCode
990376
Title
The importance of measurement errors for deriving accurate reference leaf area index maps for validation of moderate-resolution satellite LAI products
Author
Huang, Dong ; Yang, Wenze ; Tan, Bin ; Rautiainen, Miina ; Zhang, Ping ; Hu, Jiannan ; Shabanov, Nikolay V. ; Linder, Sune ; Knyazikhin, Yuri ; Myneni, Ranga B.
Author_Institution
Dept. of Geogr., Boston Univ., MA
Volume
44
Issue
7
fYear
2006
fDate
7/1/2006 12:00:00 AM
Firstpage
1866
Lastpage
1871
Abstract
The validation of moderate-resolution satellite leaf area index (LAI) products such as those operationally generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor data requires reference LAI maps developed from field LAI measurements and fine-resolution satellite data. Errors in field measurements and satellite data determine the accuracy of the reference LAI maps. This paper describes a method by which reference maps of known accuracy can be generated with knowledge of errors in fine-resolution satellite data. The method is demonstrated with data from an international field campaign in a boreal coniferous forest in northern Sweden, and Enhanced Thematic Mapper Plus images. The reference LAI map thus generated is used to assess modifications to the MODIS LAI/fPAR algorithm recently implemented to derive the next generation of the MODIS LAI/fPAR product for this important biome type
Keywords
forestry; measurement errors; radiometry; vegetation; vegetation mapping; Moderate Resolution Imaging Spectroradiometer; boreal coniferous forest; measurement errors; moderate-resolution satellite; northern Sweden; product validation; reference leaf area index maps; sensor data; Area measurement; Extraterrestrial measurements; Image sensors; Land surface; MODIS; Measurement errors; Reflectivity; Satellites; Spectroradiometers; Vegetation mapping; Leaf area index (LAI); Moderate ResolutionImaging Spectroradiometer (MODIS); validation of satellite biophysical products;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2006.876025
Filename
1645286
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