Comparison of earth observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico

IEEE Transactions on Geoscience and Remote Sensing

Volumn 41, Issue 6 PART I, 2003, Pages 1277-1282

  Lobell, David B ^a,b   Asner, Gregory P ^a  

^a GEOPHYSICAL LABORATORY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Advanced land imager (ALI); Enhanced thematic mapper plus (ETM+); Remote sensing

Indexed keywords

AGRICULTURE; CROPS; IMAGE ANALYSIS; REMOTE SENSING; SATELLITES; SENSORS;

ADVANCED LAND IMAGER; CROP IDENTIFICATION; ENHANCED THEMATIC MAPPER PLUS; LANDSAT;

EARTH SCIENCES;

EID: 0041381007     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2003.812909     Document Type: Article

References (24)

1. S. G. Ungar et al., "Overview of the Earth Observing 1 (EO-1) mission," IEEE Trans. Geosci. Remote Sensing, June 2003.
2. W. C. Bausch and H. R. Duke, "Remote sensing of plant nitrogen status in corn," Trans. ASAE, vol. 39, pp. 1869-1875, 1996.
3. R. D. Jackson, "Remote-sensing of vegetation characteristics for farm-management," in Proc. Soc. Photo-Optical Instrumentation Eng., vol. 475, 1984, pp. 81-96.
4. R. B. Macdonald and F.G. Hall, "Global crop forecasting," Science, vol. 208, pp. 670-679, 1980.
5. M. S. Moran, Y. Inoue, and E. M. Barnes, "Opportunities and limitations for image-based remote sensing in precision crop management," Remote Sens. Environ., vol. 61, pp. 319-346, 1997.
6. M. S. Moran, A. Vidal, D. Troufleau, J. Qi, T. R. Clarke, P. J. Pinter, T. A. Mitchell, Y. Inoue, and C. M. U. Neale, "Combining multifrequency microwave and optical data for crop management," Remote Sens. Environ., vol. 61, pp. 96-109. 1997.
7. V. Beaujouan, P. Durand, and L. Ruiz, "Modeling the effect of the spatial distribution of agricultural practices on nitrogen fluxes in rural catchments," Ecolog. Model., vol. 137, pp. 93-105, 2001.
8. D. B. Lobell, J. A. Hicke, G. P. Asner, C. B. Field, C. J. Tucker, and S. O. Los, "Satellite estimates of productivity and light use efficiency in United States agriculture, 1982-1998," Glob. Change Biol., vol. 8, pp 722-735, 2002.
9. C. S. T. Daughtry, K. P. Gallo, S. N. Goward, S. D. Prince, and W. P. Kustas, "Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies," Remote Sens. Environ., vol. 39, pp. 141-152, 1992.
10. F. G. Hall and G. D. Badhwar, "Signature-Extendible technology-Global space-based crop recognition," IEEE Trans. Geosci. Remote Sensing, vol. 25, pp. 93-103, Jan. 1987.
11. S. J. Maas, "Use of remotely-sensed information in agricultural crop growth-models," Ecolog. Model., vol. 41, pp. 247-268. 1988.
12. S. Moulin, A. Bondeau, and R. Delecolle, "Combining agricultural crop models and satellite observations: From field to regional scales," Int. J. Remote Sens., vol. 19, pp. 1021-1036, 1998.
13. Y. C. Lu, C. Daughtry, G. Hart, and B. Watkins, "The current state of precision farming," Food Rev. Int., vol. 13, pp. 141-162, 1997.
14. J. Mendenhall and L. Ong, "Introduction to the ALI instrument and data processing," in Proc. Hyperion and ALI Users Workshop, 2001.
15. T. M. Lillesand and R. W. Kiefer, Remote Sensing and Image Interpretation. New York: Wiley, 2000.
16. D. B. Lobell, G. P. Asner, J.I. Ortiz-Monasterio, and T. L. Benning, "Remote sensing of regional crop production in the Yaqui Valley, Mexico: Estimates and uncertainties," Agricul. Ecosyst. Environ., vol. 94, pp. 205-220, 2003.
17. P. J. Sellers, D. J. Randall, C. J. Collatz, J. A. Berry, C. B. Field, D. A. Dazlich, C. Zhang, and G. D. Colello, "A revised land surface parameterization (SiB2) for atmospheric GCM's. Part 1: Model formulation," J. Clim., vol. 9, pp. 676-705, 1996.
18. S. O. Los, G. J. Collatz, P. J. Sellers, C. M. Malmstrom, N. H. Pollack, R. S. Defries, L. Bounoua, M. T. Parris, C. J. Tucker, and D. A. Dazlich, "A global 9-yr biophysical land surface dataset from NOAA AVHRR dat," J. Hydrometeorol., vol. 1, pp. 183-199. 2000.
19. B. C. Gao, "NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space," Remote Sens. Environ., vol. 58, pp. 257-266, 1996.
20. J. Peñuelas, I. Filella, C. Biel, L. Serrano, and R. Save, "The reflectance at the 950-970 Nm region as an indicator of plant water status," Int. J. Remote Sens., vol. 14, pp. 1887-1905, 1993.
21. J. Peñuelas, J. Pinol, R. Ogaya, and I. Filella, "Estimation of plant water concentration by the reflectance water index WI (R900/R970)," Int. J. Remote Sens., vol. 18, pp. 2869-2875, 1997.
22. L. Serrano, S. L. Ustin, D. A. Roberts, J. A. Gamon, and J. Penuelas, "Deriving water content of chaparral vegetation from AVIRIS data," Remote Sens. Environ., vol. 74, pp. 570-581, 2000.
23. S. G. Ungar, "Comparison of ALI and Landsat data sets," in Proc. Hyperion and ALI Users Workshop, 2001. 2001.
24. A. J. Elmore and J. F. Mustard, "Precision and accuracy of EO-1 Advanced Land Imager (ALI) data for semiarid vegetation studies," IEEE Trans. Geosci. Remote Sensing, vol. 41, pp. 1311-1320, June 2003.