Application of MODIS derived parameters for regional crop yield assessment

Remote Sensing of Environment

Volumn 97, Issue 2, 2005, Pages 192-202

  Doraiswamy, Paul C ^a   Sinclair, Thomas R ^b   Hollinger, Steven ^c   Akhmedov, Bakhyt ^d   Stern, Alan ^a   Prueger, John ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b CENTER FOR MEDICAL   (United States)

^c ILLINOIS STATE WATER SURVEY   (United States)

^d SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

Author keywords

Crop yield; LAI; LUT; MODIS application; SAIL

Indexed keywords

COMPUTER SIMULATION; CROPS; DATA REDUCTION; IMAGE SENSORS; SATELLITES; VEGETATION;

BIOPHYSICAL PARAMETERS; LEAD AREA INDEX (LAI); NATIONAL AGRICULTURAL STATISTICS SERVICE (NASS); OPERATIONAL ASSESSMENT; SPATIAL RESOLUTION;

REMOTE SENSING;

AVHRR; CROP YIELD; LEAF AREA INDEX; MODIS; REMOTE SENSING;

DATA PROCESSING; FARM CROPS; PLANTS; REMOTE SENSING; SATELLITES; SIMULATION;

GLYCINE MAX; ZEA MAYS;

EID: 22744449359     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2005.03.015     Document Type: Article

References (18)

1. B. Andrieu, F. Baret, S. Jaccquemoud, T. Malthus, and M. Steven Evaluation of an improved version of SAIL model for simulating bidirectional reflectance of sugar beet canopies Remote Sensing of Environment 60 1997 247 257
2. G.S. Campbell Derivation of an angle density function for canopies with ellipsoidal leaf angle distributions Agricultural and Forest Meteorology 49 1990 173 176
3. B. Combal, F. Baret, M. Weiss, A. Trubuil, D. Mace, and A. Pragnere Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem Remote Sensing of Environment 84 2002 1 15
4. P.C. Doraiswamy, and P.W. Cook Spring wheat yield assessment using NOAA AVHRR data Canadian Journal of Remote Sensing 21 1995 43 51
5. P.C. Doraiswamy, J.L. Hatfield, T.J. Jackson, J.H. Prueger, B. Akhmedov, and A.J. Stern Crop condition and yield simulations using Landsat and MODIS imagery Remote Sensing of Environment 92 2004 548 559
6. P.C. Doraiswamy, S. Moulin, P.W. Cook, and A. Stern Crop yield assessment from remote sensing Photogrammetric Engineering and Remote Sensing 69 2003 665 674
7. S.M.E. Groten NDVI-crop monitoring and early yield assessment of Brukina Faso International Journal of Remote Sensing 14 1993 1495 1515
8. 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 Agriculture, Ecosystems and Environment 94 2003 205 220
9. S.J. Maas Using satellite data to improve model estimates of crop yield Agronomy Journal 80 1988 655 662
10. S.J. Maas Parameterized model of gramineous crop growth: II. Within-season simulation calibration Agronomy Journal 85 1993 354 358
11. K.P. Mochheim, and D.G. Barber Canada's using NOAA NDVI data Canadian Journal of Remote Sensing 24 1998 17 27
12. S. Moulin, A. Fisher, G. Dedieu, and R. Delcolle Temporal variation in satellite reflectances at field and regional scales compared with values simulated by linking crop growth and SAIL models Remote Sensing of Environment 54 1995 261 272
13. S. Moulin, L. Kergoat, P. Cayrol, G. Dedieu, and L. Prevot Calibration of a coupled canopy functioning and SVAT model in the ReSeDA experiment towards the assimilation of SPOT/HRV observations into the model Agronomie 22 2002 681 686
14. R.C. Muchow, T.R. Sinclair, and J.M. Bennett Temperature and solar radiation effects on potential maize yield across locations Agronomy Journal 82 1990 338 343
15. Soil Conservation Service State soil geographic database (STATSCO): Data users' guide. USDA, SCS miscellaneous publication no. 1492 1991 U.S. Government Printing Office Washington, D.C
16. S.C. Spaeth, T.R. Sinclair, T. Ohuma, and S. Konno Temperature, radiation, and duration dependence of high soybean yields: Measurements and simulation Field Crops Research 16 1987 297 307
17. V. Verhoef Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model Remote Sensing of Environment 16 1984 125 145
18. M. Weiss, F. Baret, R.B. Myneny, A. Pragnere, and Y. Knyazikhin Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data Agronomie 20 2000 3 22