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Cited by 390

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan

Bastiaanssen, Wim G.M., Ali, Samia·2003·Agriculture, Ecosystems & Environment
DOI 10.1016/s0167-8809(02)00034-8
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Cites

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Citations

Cites

Show all 38 references

Research works printed but not linked: 20

  1. Aarts, H.F.M., Grashoff, C.,1993. Dry matter production on drought sensitive soils having irrigation prohibitations. In: van Keulen, H., Penning de Vries, F.W.T. (Eds.), Agrobiologische Thema’s 8, AB-DLO, Wageningen, The Netherlands, pp. 83–101.
  2. Bastiaanssen, W.G.M., Ahmad, M.D., Chemin, Y., 2002. Satellite surveillance of evaporative depletion across the Indus Basin, Water Resources Research. (in press). · doi:10.1029/2001wr000386
  3. Brutsaert, 1992, Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation, J. Geophys. Res., 97, 18377, 10.1029/92JD00255 · doi:10.1029/92jd00255
  4. Casanova, 1998, Monitoring rice reflectance at field level for estimating biomass and LAI, Field Crops Res., 55, 83, 10.1016/S0378-4290(97)00064-6 · doi:10.1016/s0378-4290(97)00064-6
  5. Gallo, 1993, Errors in measuring absorbed radiation and computing canopy crop radiation use efficiency, Agron. J., 85, 1222, 10.2134/agronj1993.00021962008500060024x · doi:10.2134/agronj1993.00021962008500060024x
  6. Hatfield, 1984, Intercepted photosynthetically active radiation estimated by spectral reflectance, Rem. Sens. Environ., 14, 65, 10.1016/0034-4257(84)90008-7 · doi:10.1016/0034-4257(84)90008-7
  7. Hirota, 1978, Studies on utilization of solar radiation by crop stands. 2. Utilization of short-wave and photosynthetically active radiation by rice and soyabean plant populations, Jpn. J. Crop Sci., 47, 133, 10.1626/jcs.47.133 · doi:10.1626/jcs.47.133
  8. Hodges, 1977, Modeling daily dry matter production of winter wheat, Agron. J., 69, 974, 10.2134/agronj1977.00021962006900060018x · doi:10.2134/agronj1977.00021962006900060018x
  9. Kumar, M., Monteith, J.L., 1982. Remote Sensing of Crop Growth, in Plants and the Daylight Spectrum. Academic Press, London, pp. 133–144.
  10. Leblon, 1991, The use of remotely sensed data in estimation of PAR use efficiency and biomass production of flooded rice, Rem. Sens. Environ., 38, 147, 10.1016/0034-4257(91)90076-I · doi:10.1016/0034-4257(91)90076-i
  11. Ludecke, 1991, Modelling the seasonal CO2 uptake by land vegetation using the global vegetation index, Tellus, 43B, 188, 10.1034/j.1600-0889.1991.00012.x · doi:10.1034/j.1600-0889.1991.00012.x
  12. Marshall, 1983, Radiation interception and growth in an intercrop of pearl millet and groundnut, Field Crops Res., 7, 141, 10.1016/0378-4290(83)90018-7 · doi:10.1016/0378-4290(83)90018-7
  13. Moran, 1995, Combining remote sensing and modeling for estimating surface evaporation and biomass production, Rem. Sens. Rev., 12, 335, 10.1080/02757259509532290 · doi:10.1080/02757259509532290
  14. Rochette, 1995, Crop net carbon dioxide exchange rate and radiation use efficiency in soybeans, Agron. J., 87, 22, 10.2134/agronj1995.00021962008700010005x · doi:10.2134/agronj1995.00021962008700010005x
  15. Rosenthal, 1993, Radiation use efficiency among grain sorghum cultivars and plant densities, Agron. J., 85, 703, 10.2134/agronj1993.00021962008500030034x · doi:10.2134/agronj1993.00021962008500030034x
  16. Russel, 1988, The relationship between leaf canopy development and yield of barley, Ann. Appl. Biol., 113, 357, 10.1111/j.1744-7348.1988.tb03312.x · doi:10.1111/j.1744-7348.1988.tb03312.x
  17. Serageldin, 1999, Looking ahead: water, life and the environment in the twenty-first century, Wat. Resour. Develop., 15, 17, 10.1080/07900629948907 · doi:10.1080/07900629948907
  18. Sharma, 1993, Procedures for wheat yield prediction using Landsat MSS and IRS-1A data, Int. J. Rem. Sens., 14, 2509, 10.1080/01431169308904289 · doi:10.1080/01431169308904289
  19. Wiegand, 1989, Spectral observations for estimating the growth and yield of rice, Jpn. J. Crop Sci., 58, 673, 10.1626/jcs.58.673 · doi:10.1626/jcs.58.673
  20. Williams, 1968, Canopy architecture at various population densities and the growth and grain yield of corn, Crop Sci., 8, 303, 10.2135/cropsci1968.0011183X000800030013x · doi:10.2135/cropsci1968.0011183x000800030013x

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Metadata

Authors
Bastiaanssen, W. G. M., & Ali, S.
Venue
Agriculture, Ecosystems & Environment
Publisher
Elsevier BV
Published
2003-03
Volume
94
Issue
3
Pages
321-340
ISSN
0167-8809 (ISSN-L)
DOI
10.1016/s0167-8809(02)00034-8
OpenAlex
W2017541618
Cited by
390
References
38
FWCI
9.17
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. https://app.cochat.ai/papers/10.1016/s0167-8809(02)00034-8
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Bastiaanssen, W. G. M., & Ali, S. (2003). A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agriculture, Ecosystems & Environment. https://doi.org/10.1016/s0167-8809(02)00034-8

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.