DocumentCode :
762269
Title :
Comparison of Earth Observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico
Author :
Lobell, David B. ; Asner, Gregory P.
Author_Institution :
Dept. of Global Ecology, Stanford Univ., CA, USA
Volume :
41
Issue :
6
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
1277
Lastpage :
1282
Abstract :
This paper presents a comparison of Earth Observing 1 (EO-1) Advanced Land Imager (ALI) and Landsat-7 Enhanced Thematic Mapper Plus (ETM+) images collected over an agricultural region in northwest Mexico. Across 115 fields with a range of cover types, radiance measurements collected by ALI were within 3% of ETM+ for all five common bands. Crop discrimination was significantly improved with ALI compared to ETM+, with an increase from 85% to 95% accuracy for distinguishing maize from wheat fields. This improvement was attributed to the greater SNR in ALI, as well as the unique information content of ALI band 4p (0.84-0.89 μm), which may be due to sensitivity to canopy water content. Yield predictions from reflectance-calibrated data did not reveal significant differences between the sensors. The greatest distinction between ALI and ETM+ was observed in the panchromatic band, with ALI providing more detailed information on inter- and intrafield radiance differences, which show promise for precision agriculture applications. We conclude that ALI meets or exceeds ETM+ performance for agricultural applications evaluated here, thus providing a plausible option for continuity of the valuable Landsat record.
Keywords :
agriculture; geophysical techniques; vegetation mapping; 400 to 2500 nm; ALI; Advanced Land Imager; EO-1; ETM; Earth Observing-1; Enhanced Thematic Mapper Plus; IR; Landsat; Landsat-7; Mexico; agriculture; cover types; crop identification; crops; discrimination; geophysical measurement technique; infrared; maize; multispectral remote sensing; vegetation mapping; visible; wheat; yield prediction; Agriculture; Crops; Earth; Image sensors; NASA; Remote sensing; Satellites; Sensor phenomena and characterization; Space exploration; Space technology;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2003.812909
Filename :
1220235
Link To Document :
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