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Volumn 36, Issue 18, 2015, Pages 4570-4589

Crop yield prediction from remotely sensed vegetation indices and primary productivity in arid and semi-arid lands

Author keywords

[No Author keywords available]

Indexed keywords

ARID REGIONS; DIGITAL STORAGE; ECOSYSTEMS; FOOD SUPPLY; FORESTRY; PHOTOSYNTHESIS; PHYTOPLANKTON; REMOTE SENSING; VEGETATION; WATER RESOURCES;

EID: 84943403082     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1084434     Document Type: Article
Times cited : (56)

References (29)
  • 2
    • 84876460526 scopus 로고    scopus 로고
    • Estimating Crop Net Primary Production Using National Inventory Data and Modis-Derived Parameters
    • V.Bandaru,, T.O.West, D.M.Ricciuto, and R.C.Izaurralde. 2013. “Estimating Crop Net Primary Production Using National Inventory Data and Modis-Derived Parameters.” ISPRS Journal of Photogrammetry and Remote Sensing 80: 61–71. doi:10.1016/j.isprsjprs.2013.03.005.
    • (2013) ISPRS Journal of Photogrammetry and Remote Sensing , vol.80 , pp. 61-71
    • Bandaru, V.1    West, T.O.2    Ricciuto, D.M.3    Izaurralde, R.C.4
  • 3
    • 0033781223 scopus 로고    scopus 로고
    • Remote Sensing for Irrigated Agriculture: Examples from Research and Possible Applications
    • W.G.Bastiaanssen,, D.J.Molden, and I.W.Makin. 2000. “Remote Sensing for Irrigated Agriculture: Examples from Research and Possible Applications.” Agricultural Water Management 46: 137–155. doi:10.1016/S0378-3774(00)00080-9.
    • (2000) Agricultural Water Management , vol.46 , pp. 137-155
    • Bastiaanssen, W.G.1    Molden, D.J.2    Makin, I.W.3
  • 5
    • 33746324527 scopus 로고    scopus 로고
    • Evaluating MODIS, MERIS, and VEGETATION Vegetation Indices Using In Situ Measurements in a Semiarid Environment
    • R.Fensholt,, I.Sandholt, and S.Stisen. 2006. “Evaluating MODIS, MERIS, and VEGETATION Vegetation Indices Using In Situ Measurements in a Semiarid Environment.” IEEE Transactions on Geoscience and Remote Sensing 44 (7): 1774–1786. doi:10.1109/TGRS.2006.875940.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.7 , pp. 1774-1786
    • Fensholt, R.1    Sandholt, I.2    Stisen, S.3
  • 7
    • 84943427517 scopus 로고    scopus 로고
    • Spatio-Temporal Patterns of Cropland Land Cover Change in Iraq during Operation Iraqi Freedom and the End of Sanctions
    • Gibson G.R., (ed), Unpublished doctoral dissertation, Virginia Tech University, Blacksburg:
    • G.R.Gibson,, J.B.Campbell, and C.E.Zipper. 2012. “Spatio-Temporal Patterns of Cropland Land Cover Change in Iraq during Operation Iraqi Freedom and the End of Sanctions.” In War and Agriculture: Three Decades of Agricultural Land Use and Land Cover Change in Iraq, edited by G.R.Gibson, 8–45. Unpublished doctoral dissertation, Virginia Tech University, Blacksburg.
    • (2012) War and Agriculture: Three Decades of Agricultural Land Use and Land Cover Change in Iraq , pp. 8-45
    • Gibson, G.R.1    Campbell, J.B.2    Zipper, C.E.3
  • 8
    • 11844253796 scopus 로고    scopus 로고
    • Spatiotemporal Patterns of Cropland Area and Net Primary Production in the Central United States Estimated from USDA Agricultural Information
    • J.A.Hicke,, and D.B.Lobell. 2004. “Spatiotemporal Patterns of Cropland Area and Net Primary Production in the Central United States Estimated from USDA Agricultural Information.” Geophysical Research Letters 31: 1–5.
    • (2004) Geophysical Research Letters , vol.31 , pp. 1-5
    • Hicke, J.A.1    Lobell, D.B.2
  • 9
    • 84930400407 scopus 로고    scopus 로고
    • Arid Land Agriculture in Northeastern Syria
    • F.Hole,, and R.Smith. 2012. “Arid Land Agriculture in Northeastern Syria.” In Land Change Science, edited by G. Gutman et al., 213–226. Springer Science + Business Media B.V. doi:10.1007/978-1-4020-2562-4.
    • (2012) Land Change Science , pp. 213-226
    • Hole, F.1    Smith, R.2
  • 10
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices
    • A.Huete,, K.Didan, T.Miura, E.P.Rodriguez, X.Gao, and L.G.Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83: 195–213. doi:10.1016/S0034-4257(02)00096-2.
    • (2002) Remote Sensing of Environment , vol.83 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3    Rodriguez, E.P.4    Gao, X.5    Ferreira, L.G.6
  • 12
    • 84893489704 scopus 로고    scopus 로고
    • Comparing Cropland Net Primary Production Estimates from Inventory, a Satellite-Based Model, and a Process-Based Model in the Midwest of the United States
    • Z.Li,, S.Liu, Z.Tan, N.B.Bliss, C.J.Young, T.O.West, and S.M.Ogle. 2014. “Comparing Cropland Net Primary Production Estimates from Inventory, a Satellite-Based Model, and a Process-Based Model in the Midwest of the United States.” Ecological Modelling 277: 1–12. doi:10.1016/j.ecolmodel.2014.01.012.
    • (2014) Ecological Modelling , vol.277 , pp. 1-12
    • Li, Z.1    Liu, S.2    Tan, Z.3    Bliss, N.B.4    Young, C.J.5    West, T.O.6    Ogle, S.M.7
  • 13
    • 0036328157 scopus 로고    scopus 로고
    • Satellite Estimates of Productivity and Light Use Efficiency in United States Agriculture, 1982–98
    • D.B.Lobell,, J.A.Hicke, G.P.Asner, C.B.Field, C.J.Tucker, and S.O.Los. 2002. “Satellite Estimates of Productivity and Light Use Efficiency in United States Agriculture, 1982–98.” Global Change Biology 8: 722–735. doi:10.1046/j.1365-2486.2002.00503.x.
    • (2002) Global Change Biology , vol.8 , pp. 722-735
    • Lobell, D.B.1    Hicke, J.A.2    Asner, G.P.3    Field, C.B.4    Tucker, C.J.5    Los, S.O.6
  • 14
    • 33645023824 scopus 로고    scopus 로고
    • Can Improvement in Photosynthesis Increase Crop Yields?
    • S.P.Long,, X.-G.Zhu, S.L.Naidu, and D.R.Ort. 2006. “Can Improvement in Photosynthesis Increase Crop Yields?” Plant Cell Environ 29 (3): 315–330. doi:10.1111/pce.2006.29.issue-3.
    • (2006) Plant Cell Environ , vol.29 , Issue.3 , pp. 315-330
    • Long, S.P.1    Zhu, X.-G.2    Naidu, S.L.3    Ort, D.R.4
  • 15
    • 36849032178 scopus 로고    scopus 로고
    • Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest
    • B.Matsushita,, W.Yang, J.Chen, Y.Onda, and G.Qiu. 2007. “Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest.” Sensors 7: 2636–2651. doi:10.3390/s7112636.
    • (2007) Sensors , vol.7 , pp. 2636-2651
    • Matsushita, B.1    Yang, W.2    Chen, J.3    Onda, Y.4    Qiu, G.5
  • 16
    • 84930398437 scopus 로고    scopus 로고
    • MOAAR (Ministry of Agriculture and Agrarian Reform in Syria). 2014. Statistical datasets. http://moaar.gov.sy
    • (2014) Statistical datasets
  • 17
    • 45449110437 scopus 로고    scopus 로고
    • Farming the Planet: 2. Geographic distribution of Crop Areas, Yields, Physiological Types, and Net Primary Production in the Year 2000
    • C.Monfreda,, N.Ramankutty, and J.A.Foley. 2008. “Farming the Planet: 2. Geographic distribution of Crop Areas, Yields, Physiological Types, and Net Primary Production in the Year 2000.” Global Biogeochemical Cycles 22: 1–19.
    • (2008) Global Biogeochemical Cycles , vol.22 , pp. 1-19
    • Monfreda, C.1    Ramankutty, N.2    Foley, J.A.3
  • 18
    • 84943388734 scopus 로고    scopus 로고
    • Sioux Falls, SD: USGS/Earth Resources Observation and Science (EROS) Center
    • NASA LPDAAC (National Aeronautics and Space Administration Land Processes Distributed Active Archive Center). 2014. MODIS Products. Sioux Falls, SD: USGS/Earth Resources Observation and Science (EROS) Center. https://lpdaac.usgs.gov/products
    • (2014) MODIS Products
  • 19
    • 84943388734 scopus 로고    scopus 로고
    • NTSG (Numerical Terradynamic Simulation Group). 2014. MODIS Products. http://www.ntsg.umt.edu/project/mod17
    • (2014) MODIS Products
  • 20
    • 0034898925 scopus 로고    scopus 로고
    • Net Primary Production of US Midwest Croplands from Agricultural Harvest Yield Data
    • S.D.Prince,, J.Haskett, M.Steininger, H.Strand, and R.Wright. 2001. “Net Primary Production of US Midwest Croplands from Agricultural Harvest Yield Data.” EcologicalApplications 11: 1194–1205. doi:10.1890/1051-0761(2001)011[1194:NPPOUS]2.0.CO;2.
    • (2001) EcologicalApplications , vol.11 , pp. 1194-1205
    • Prince, S.D.1    Haskett, J.2    Steininger, M.3    Strand, H.4    Wright, R.5
  • 21
    • 0027334401 scopus 로고
    • The Use of Multi-Temporal NDVI Measurements from AVHRR Data for Crop Yield Estimation and Prediction
    • N.A.Quarmby,, M.Milnes, T.L.Hindle, and N.Silleos. 1993. “The Use of Multi-Temporal NDVI Measurements from AVHRR Data for Crop Yield Estimation and Prediction.” International Journal of Remote Sensing 14: 199–210. doi:10.1080/01431169308904332.
    • (1993) International Journal of Remote Sensing , vol.14 , pp. 199-210
    • Quarmby, N.A.1    Milnes, M.2    Hindle, T.L.3    Silleos, N.4
  • 22
    • 45449111176 scopus 로고    scopus 로고
    • Farming the Planet: 1. Geographic distribution of Global Agricultural Lands in the Year 2000
    • N.Ramankutty,, A.T.Evan, C.Monfreda, and J.A.Foley. 2008. “Farming the Planet: 1. Geographic distribution of Global Agricultural Lands in the Year 2000.” Global Biogeochemical Cycles 22: 1–19.
    • (2008) Global Biogeochemical Cycles , vol.22 , pp. 1-19
    • Ramankutty, N.1    Evan, A.T.2    Monfreda, C.3    Foley, J.A.4
  • 23
    • 18544389526 scopus 로고    scopus 로고
    • Usefulness and Limits of MODIS GPP for Estimating Wheat Yield
    • M.C.Reeves,, M.Zhao, and W.Running. 2005. “Usefulness and Limits of MODIS GPP for Estimating Wheat Yield.” International Journal of Remote Sensing 26 (7): 1403–1421. doi:10.1080/01431160512331326567.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.7 , pp. 1403-1421
    • Reeves, M.C.1    Zhao, M.2    Running, W.3
  • 24
    • 2942618334 scopus 로고    scopus 로고
    • A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production
    • S.W.Running,, R.R.Nemani, F.A.Heinsch, M.Zhao, M.Reeves, and H.Hashimoto. 2004. “A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production.” BioScience 54: 547–560. doi:10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2.
    • (2004) BioScience , vol.54 , pp. 547-560
    • Running, S.W.1    Nemani, R.R.2    Heinsch, F.A.3    Zhao, M.4    Reeves, M.5    Hashimoto, H.6
  • 27
    • 84892424186 scopus 로고    scopus 로고
    • Agricultural Conversion without External Water and Nutrient Inputs Reduces Terrestrial Vegetation Productivity
    • W.K.Smith,, C.C.Cleveland, S.C.Reed, and S.W.Running. 2014. “Agricultural Conversion without External Water and Nutrient Inputs Reduces Terrestrial Vegetation Productivity.” Geophysical Research Letters 41: 449–455. doi:10.1002/2013GL058857.
    • (2014) Geophysical Research Letters , vol.41 , pp. 449-455
    • Smith, W.K.1    Cleveland, C.C.2    Reed, S.C.3    Running, S.W.4
  • 29
    • 14744295403 scopus 로고    scopus 로고
    • Improvements of the MODIS Terrestrial Gross and Net Primary Production Global Dataset
    • M.Zhao,, F.A.Heinsch, R.R.Nemani, and S.W.Running. 2005. “Improvements of the MODIS Terrestrial Gross and Net Primary Production Global Dataset.” Remote Sensing of Environment 95: 164–176.
    • (2005) Remote Sensing of Environment , vol.95 , pp. 164-176
    • Zhao, M.1    Heinsch, F.A.2    Nemani, R.R.3    Running, S.W.4


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