Evaluation of MODIS data potential to infer water stress for wheat NPP estimation

Tropical Ecology

Volumn 51, Issue 1, 2010, Pages 93-105

  Patel, N R ^a   Dadhwal, V K ^a   Saha, S K ^a   Garg, A ^a   Sharma, N ^a  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

Light use efficiency; MODIS; Net primary productivity; Water stress; Wheat

Indexed keywords

GEOGRAPHICAL DISTRIBUTION; GROWING SEASON; LIGHT USE EFFICIENCY; MODIS; NET PRIMARY PRODUCTION; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS; TEMPORAL VARIATION; WATER STRESS; WHEAT;

ASIA; EURASIA; HARYANA; INDIA; SOUTH ASIA;

TRITICUM AESTIVUM;

EID: 70449127442     PISSN: 05643295     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Bradford, J.B., J.A. Hickec & W.K. Lauenroth. 2005. The relative importance of light-use efficiency modifications from environmental conditions and cultivation for estimation of large-scale net primary productivity. Remote Sensing of Environment 96: 246-255.
2. Bristow, K. & G.S. Campbell. 1984. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural & Forest Meteorology 31: 159-166.
3. Dahiya, I. S., M. Singh, A.V. Shanwal, M.S. Kuhad & S.P.S. Karwasra. 1988. Land Resources and Land Use planning in Haryana. Directorate of Research, Haryana Agricultural University, Hisar, India.
4. Fensholt, R. & I. Sandholt. 2003. Derivation of a shortwave infrared water stress index from MODIS near- and short wave infrared data in a semi-arid environment. Remote Sensing of Environment 87:111-121.
5. Field, C.B., J.T. Randerson & C.M. Malmstrom. 1995. Global net primary production combining ecology and remote-sensing. Remote Sensing of Environment 51: 74-88.
6. Fischer, R.A. 1983. Wheat. pp. 129-154. In: W.H. Smith & S.J. Banta (eds.) Potential Productivity of Field Crops Under Different Conditions. International Rice Research Institute, Los Banos, Philippines.
7. Garcia, R., E.T. Kanemasu, B.L. Blad, A.A. Bauer, J.L. Hatfield, D. Major, R.J. Reginato & K.G. Hubbard. 1988. Interception and use efficiency of light in winter wheat under different nitrogen regimes. Agricultural & Forest Meteorology 44: 175-186.
8. Jackson, R.D. 1982. Canopy temperature and crop water stress. Advances in Irrigation 1: 43-85.
9. Khan, N.A. 2000. Simulation of Wheat Growth and Yield Under Variable Sowing Date and Seeding Rate. M.Sc. Thesis, Department of Agronomy, University of Agriculture, Faisalabad, Pakistan.
10. Los, S.O., G.J. Collatz, P. J. Sellers, C.M. Malmstrom, N.H. Pollack, R S. Defries, L. Bounou, M.T. Parris, C.J. Tucker & D.A. Dazlich. 2000. A global 9-yr biophysical land surface dataset from NOAA AVHRR data. Journal of Hydrometeorology 1: 183-199.
11. Monteith, J.L. 1972. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology 9:747-766.
12. Monteith, J.L. 1977. Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London B281: 277-294.
13. Moran, M.S., T.R. Clarke, Y. Inoue & A. Vidal. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment 49: 246-263.
14. Nouvellon, Y., D.L. Seen & S.G. Verma. 2000. Time course of radiation use efficiency in a short - grass ecosystem: consequences for remotely sensed estimation of primary production. Remote Sensing of Environment 71: 43-55.
15. Patel, N.R., B. Bhattacharjee, A.J. Mohammed, Tanu Priya & S.K. Saha. 2007. Remote sensing of regional yield assessment of wheat in Haryana, India. International Journal of Remote Sensing 27: 4071-4090.
16. Porter, J.R. & M. Gawith. 1999. Temperatures and the growth and development of wheat: a review. European Journal Agronomy 10: 23-36.
17. Potter, C.S., J.T. Randerson, C.B. Field, P.A. Matson, P.M. Vitousek, H.A. Mooney & S.A. Klooster. 1993. Terrestrial ecosystem production: a process modelbased on global satellite and surface data. Global Biogeochemical Cycles 7: 811-841.
18. Prince, S.D. & S.N. Goward. 1995. Global primary production: a remote sensing approach. Journal of Biogeography 22: 815-835.
19. Raich, J.W., E.B. Rastetter, J.M. Melillo, D.W. Kicklighter, P.A. Steudler, B.J. Peterson, A.L. Grace, B. Moore & C.J. Vorosmarty. 1991. Potential net primary productivity in South America: application of a global model. Ecological Applications 1:399-429.
20. Ruimy, A., B. Saugier & G. Dedier. 1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research 99: 5263-5283.
21. Sandholt, I., K. Rasmussen & J. Andersen. 2002. A simple interpretation of the surface temperature/ vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 79: 213-224.
22. Sellers, P. J., B.W. Meeson, F.G. Hall, G. Asrar, R.E. Murphy & R.A. Schiffer. 1995. Remote sensing of the land surface for studies of global change: Models-algorithms-experiments. Remote Sensing of Environment 51: 3-26.
23. Sellers, P.J., D.A. Randall, C.J. Collatz, J.A. Berry, C.B. Field, D.A. Dazlich, C. Zhang & G.D. Colello. 1996. A revised land surface parameterization (SiB2) for atmospheric GCM's. Part I: Model formulation. Journal of Climate 9: 676-705.
24. Sharma, K., Ram Niwas & M. Singh. 2000. Effect of sowing time on radiation use efficiency of wheat cultivars. Journal of Agrometeorology 2: 166-169.
25. Vermote, E. F. & A. Vermeulen. 1999. Atmospheric correction algorithm: Spectral reflectances (MOD09), ATBD version 4.0. (http://modis.gsfc.nasa.gov/data/atbd_modis08.pdf).
26. Verstraeten, W. W., F. Veroustrate & J. Feyen. 2006. Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sensing of Environment 96:256-276.
27. Xiao, X., S. Boles, J.Y. Liu, D.F. Zhuang & M.L. Liu. 2002. Characterization of forest types in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data. Remote Sensing of Environment 82: 335-348.
28. Xiao, X.M., Q.Y. Zhang, D. Hollinger, J. Aber & B. Moore. 2005. Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data. Ecological Applications 15: 954-969.
29. Wan, Z., P. Wang & X. Li. 2004. Using MODIS Land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA. International Journal of Remote Sensing 25: 61-72.
30. Waring, R.H. & S.W. Running. 1998. Forest Ecosystems: Analysis at Multiple Scales. San Diego, California: Academic Press, Inc.
31. Yuan J., Niu Zheng & Wang Chenli. 2006. Vegetation NPP distribution based on MODIS data and CASA model - A case study of northern Hebei Province. Chinese Geographical Science 16: 334-341.