TY - JOUR
T1 - Comparison of earth observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico
AU - Lobell, David B.
AU - Asner, Gregory P.
N1 - Funding Information:
Manuscript received May 17, 2002; revised March 6, 2003. This work was supported by the National Aeronautics and Space Administration (NASA) New Millenium Program under Grant NCC5-480 and Grant NCC5-481, by the NASA New Investigator Program under Grant NAG5-8709, by the National Science Foundation Graduate Research Fellowship, and by the Packard Foundation.
PY - 2003/6
Y1 - 2003/6
N2 - 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.
AB - 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.
KW - Advanced land imager (ALI)
KW - Enhanced thematic mapper plus (ETM+)
KW - Remote sensing
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U2 - 10.1109/TGRS.2003.812909
DO - 10.1109/TGRS.2003.812909
M3 - Article
AN - SCOPUS:0041381007
SN - 0196-2892
VL - 41
SP - 1277
EP - 1282
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 6 PART I
ER -