메뉴 건너뛰기




Volumn 151, Issue , 2018, Pages 41-49

Wheat and maize yield forecasting for the Tisza river catchment using MODIS NDVI time series and reported crop statistics

Author keywords

Maize; MODIS; NDVI; Wheat; Yield forecast

Indexed keywords

CATCHMENTS; CROPS; DATA HANDLING; EFFICIENCY; FORECASTING; RADIOMETERS; REMOTE SENSING; RIVERS; RUNOFF; TIME SERIES;

EID: 85047784422     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2018.05.035     Document Type: Article
Times cited : (77)

References (69)
  • 1
    • 0019728346 scopus 로고
    • Assessing winter wheat dry matter production via spectral reflectance measurements
    • Aase, J.K., Siddoway, F.H., Assessing winter wheat dry matter production via spectral reflectance measurements. Remote Sens. Environ. 11 (1981), 267–277.
    • (1981) Remote Sens. Environ. , vol.11 , pp. 267-277
    • Aase, J.K.1    Siddoway, F.H.2
  • 2
    • 0001371584 scopus 로고
    • Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat
    • Asrar, G., Fuchs, M., Kanemasu, E.T., Hatfield, J.L., Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76 (1984), 300–306.
    • (1984) Agron. J. , vol.76 , pp. 300-306
    • Asrar, G.1    Fuchs, M.2    Kanemasu, E.T.3    Hatfield, J.L.4
  • 3
    • 84860508869 scopus 로고    scopus 로고
    • Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
    • Atkinson, P.M., Jeganathan, C., Dash, J., Atzberger, C., Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote. Sens. Environ. 123 (2012), 400–417.
    • (2012) Remote. Sens. Environ. , vol.123 , pp. 400-417
    • Atkinson, P.M.1    Jeganathan, C.2    Dash, J.3    Atzberger, C.4
  • 4
    • 84874788283 scopus 로고    scopus 로고
    • Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs
    • Atzberger, C., Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs. Remote Sens. 5 (2013), 949–981.
    • (2013) Remote Sens. , vol.5 , pp. 949-981
    • Atzberger, C.1
  • 5
    • 79960068688 scopus 로고    scopus 로고
    • Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements
    • Atzberger, C., Eilers, P.H.C., Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements. Int. J. Remote Sens. 32 (2011), 3689–3709.
    • (2011) Int. J. Remote Sens. , vol.32 , pp. 3689-3709
    • Atzberger, C.1    Eilers, P.H.C.2
  • 6
    • 2142730039 scopus 로고
    • Estimating development of corn from spectral data—an initial model
    • Badhwar, G.D., Henderson, K.E., Estimating development of corn from spectral data—an initial model. Agron. J. 73 (1981), 748–755.
    • (1981) Agron. J. , vol.73 , pp. 748-755
    • Badhwar, G.D.1    Henderson, K.E.2
  • 7
    • 84874772904 scopus 로고    scopus 로고
    • Drought Monitoring with the Combined Drought Index
    • Nairobi, Kenya FAO-SWALIM 32
    • Balint, Z., Mutua, F.M., Drought Monitoring with the Combined Drought Index. 2011, Nairobi, Kenya, FAO-SWALIM 32.
    • (2011)
    • Balint, Z.1    Mutua, F.M.2
  • 8
    • 0026305589 scopus 로고
    • Potentials and limits of vegetation indices for LAI and APAR assessment
    • Baret, F., Guyot, G., Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35 (1991), 161–173.
    • (1991) Remote Sens. Environ. , vol.35 , pp. 161-173
    • Baret, F.1    Guyot, G.2
  • 9
    • 0024475982 scopus 로고
    • Crop biomass evaluation using radiometric measurements
    • Baret, F., Guyot, G., Major, D.J., Crop biomass evaluation using radiometric measurements. Photogrammetria 43 (1989), 241–256.
    • (1989) Photogrammetria , vol.43 , pp. 241-256
    • Baret, F.1    Guyot, G.2    Major, D.J.3
  • 10
    • 2342460363 scopus 로고    scopus 로고
    • Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies
    • Basnyat, P., McConkey, B., Lafond, G.P., Moulin, A., Pelcat, Y., Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies. Can. J. Plant Sci. 84 (2004), 97–103.
    • (2004) Can. J. Plant Sci. , vol.84 , pp. 97-103
    • Basnyat, P.1    McConkey, B.2    Lafond, G.P.3    Moulin, A.4    Pelcat, Y.5
  • 11
    • 77949487217 scopus 로고    scopus 로고
    • A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
    • Becker-Reshef, I., Vermote, E., Lindeman, M., Justice, C., A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sens. Environ. 114 (2010), 1312–1323.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 1312-1323
    • Becker-Reshef, I.1    Vermote, E.2    Lindeman, M.3    Justice, C.4
  • 12
    • 0027787177 scopus 로고
    • On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna
    • Benedetti, R., Rossini, P., On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna. Remote Sens. Environ. 45 (1993), 311–326.
    • (1993) Remote Sens. Environ. , vol.45 , pp. 311-326
    • Benedetti, R.1    Rossini, P.2
  • 13
    • 85055699703 scopus 로고    scopus 로고
    • The economic context of irrigation development. (in Hungarian) In: Biro, Sz., Kapronczai, I., Szűcs, I., Váradi, L., (Eds.), Water Use and Irrigation Development in Hungarian Agriculture (in Hungarian). Agricultural Research Institute, Budapest
    • Biro, Sz., Apáti, F., Szőllősi, L., Szűcs, I., 2011. The economic context of irrigation development. (in Hungarian) In: Biro, Sz., Kapronczai, I., Szűcs, I., Váradi, L., (Eds.), Water Use and Irrigation Development in Hungarian Agriculture (in Hungarian). Agricultural Research Institute, Budapest, pp. 45–74.
    • (2011) , pp. 45-74
    • Biro, S.1    Apáti, F.2    Szőllősi, L.3    Szűcs, I.4
  • 14
    • 0037057539 scopus 로고    scopus 로고
    • Improving an operational wheat yield model using phenological phase-based normalized difference vegetation index
    • Boken, V.K., Shaykewich, C.F., Improving an operational wheat yield model using phenological phase-based normalized difference vegetation index. Int. J. Remote Sens. 23 (2002), 4155–4168.
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 4155-4168
    • Boken, V.K.1    Shaykewich, C.F.2
  • 15
    • 0019390039 scopus 로고
    • Insolation estimation from satellite measurements of reflected radiation
    • Brakke, T.W., Kanemasu, E.T., Insolation estimation from satellite measurements of reflected radiation. Remote Sens. Environ. 11 (1981), 157–167.
    • (1981) Remote Sens. Environ. , vol.11 , pp. 157-167
    • Brakke, T.W.1    Kanemasu, E.T.2
  • 16
    • 41449108067 scopus 로고    scopus 로고
    • Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland
    • Darvishzadeh, R., Skidmore, A., Schlerf, M., Atzberger, C., Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland. Remote Sens. Environ. 112 (2008), 2592–2604.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 2592-2604
    • Darvishzadeh, R.1    Skidmore, A.2    Schlerf, M.3    Atzberger, C.4
  • 17
    • 0035837310 scopus 로고    scopus 로고
    • Sunflower biomass estimation using a scattering model and a neural network algorithm
    • Del Frate, F., Wang, L.F., Sunflower biomass estimation using a scattering model and a neural network algorithm. Int. J. Remote Sens. 22 (2001), 1235–1244.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 1235-1244
    • Del Frate, F.1    Wang, L.F.2
  • 18
  • 19
    • 84894287274 scopus 로고    scopus 로고
    • Wheat production forecasting for Pakistan from satellite data. In: Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, VIC, Australia, 21–26 July, 2013
    • Dempewolf, J., Adusei, B., Becker-Reshef, I., Barker, B., Potapov, P., Hansen, M., Justice, C., 2013. Wheat production forecasting for Pakistan from satellite data. In: Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, VIC, Australia, 21–26 July 2013, pp. 3239–3242.
    • (2013) , pp. 3239-3242
    • Dempewolf, J.1    Adusei, B.2    Becker-Reshef, I.3    Barker, B.4    Potapov, P.5    Hansen, M.6    Justice, C.7
  • 20
    • 84923543554 scopus 로고    scopus 로고
    • Wheat yield forecasting for Punjab province from vegetation index time series and historic crop data
    • Dempewolf, J., Adusei, B., Becker-Reshef, I., Hansen, M., Potapov, P., Khan, A., Barker, B., Wheat yield forecasting for Punjab province from vegetation index time series and historic crop data. Remote Sens. 6 (2014), 9653–9675.
    • (2014) Remote Sens. , vol.6 , pp. 9653-9675
    • Dempewolf, J.1    Adusei, B.2    Becker-Reshef, I.3    Hansen, M.4    Potapov, P.5    Khan, A.6    Barker, B.7
  • 21
    • 84971461048 scopus 로고    scopus 로고
    • MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006. Technical Report, NASA EOSDIS Land Processes DAAC. Available online
    • Didan, K., 2015. MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006. Technical Report, NASA EOSDIS Land Processes DAAC, 2015. Available online: .
    • (2015)
    • Didan, K.1
  • 22
    • 0002944396 scopus 로고
    • Spring wheat yield assessment using NOAA AVHRR data
    • Doraiswamy, P.C., Cook, P.W., Spring wheat yield assessment using NOAA AVHRR data. Can. J. Remote Sens. 21 (1995), 41–51.
    • (1995) Can. J. Remote Sens. , vol.21 , pp. 41-51
    • Doraiswamy, P.C.1    Cook, P.W.2
  • 24
    • 0019685298 scopus 로고
    • Spectrally derived inputs to crop yield models. In: Proceedings of the 1981 Symposium on Machine Processing of Remotely Sensed Data. Purdue University, West Lafayette
    • Gallo, K.P., Daughtry, C.S.T., 1981. Spectrally derived inputs to crop yield models. In: Proceedings of the 1981 Symposium on Machine Processing of Remotely Sensed Data. Purdue University, West Lafayette, pp. 52–65.
    • (1981) , pp. 52-65
    • Gallo, K.P.1    Daughtry, C.S.T.2
  • 25
    • 84954491056 scopus 로고    scopus 로고
    • Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Global Terrestrial Observing System NRC
    • Food and Agriculture Organization of the United Nations (FAO) Rome
    • Gobron, N., Verstraete, M.M., Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Global Terrestrial Observing System NRC. 2009, Food and Agriculture Organization of the United Nations (FAO), Rome, 14.
    • (2009) , pp. 14
    • Gobron, N.1    Verstraete, M.M.2
  • 26
    • 84994479136 scopus 로고    scopus 로고
    • Relationships of NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species in Barrow, Alaska
    • PeerJ. PrePrints 3, e913v1.
    • Goswami S, Gamon J, Vargas S, Tweedie C. 2015. Relationships of NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species in Barrow, Alaska. PeerJ. PrePrints 3, e913v1.
    • (2015)
    • Goswami, S.1    Gamon, J.2    Vargas, S.3    Tweedie, C.4
  • 27
    • 85012206979 scopus 로고    scopus 로고
    • Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia
    • Govedarica, M., Jovanović D., Sabo, F., Borisov, M., Vrtunski, M., Alargic, I., Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia. Open Geosci. 8:1 (2016), 747–759.
    • (2016) Open Geosci. , vol.8 , Issue.1 , pp. 747-759
    • Govedarica, M.1    Jovanović, D.2    Sabo, F.3    Borisov, M.4    Vrtunski, M.5    Alargic, I.6
  • 29
    • 0020974735 scopus 로고
    • Remote sensing estimators of potential and actual crop yield
    • Hatfield, J.L., Remote sensing estimators of potential and actual crop yield. Remote Sens. Environ. 13 (1983), 301–311.
    • (1983) Remote Sens. Environ. , vol.13 , pp. 301-311
    • Hatfield, J.L.1
  • 30
    • 56949107790 scopus 로고    scopus 로고
    • Noise reduction of NDVI time series: an empirical comparison of selected techniques
    • Hird, J.N., McDermid, G.J., Noise reduction of NDVI time series: an empirical comparison of selected techniques. Remote Sens. Environ. 113 (2009), 248–258.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 248-258
    • Hird, J.N.1    McDermid, G.J.2
  • 31
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    • Huete, A., Didan, K., Miura, T., Rodriguez, E., Gao, X., Ferreira, L., Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote. Sens. Environ. 83 (2002), 195–213.
    • (2002) Remote. Sens. Environ. , vol.83 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3    Rodriguez, E.4    Gao, X.5    Ferreira, L.6
  • 33
    • 74149086793 scopus 로고    scopus 로고
    • Comparison of cloud-reconstruction methods for time series of composite NDVI data
    • Julien, Y., Sobrino, J.A., Comparison of cloud-reconstruction methods for time series of composite NDVI data. Remote. Sens. Environ. 114 (2010), 618–625.
    • (2010) Remote. Sens. Environ. , vol.114 , pp. 618-625
    • Julien, Y.1    Sobrino, J.A.2
  • 35
    • 84971629671 scopus 로고    scopus 로고
    • Operational drought monitoring in Kenya using MODIS NDVI time series
    • Klisch, A., Atzberger, C., Operational drought monitoring in Kenya using MODIS NDVI time series. Remote Sens., 8, 2016, 267.
    • (2016) Remote Sens. , vol.8 , pp. 267
    • Klisch, A.1    Atzberger, C.2
  • 37
    • 85166854816 scopus 로고    scopus 로고
    • Forecasting corn yield in Iowa using remotely sensed data and vegetation phenology information. In: Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, Lake Buena Vista, FL, USA, 10–12 January 2000, vol. II
    • Lee, R., Kastens, D.L., Price, K.P., Martinko, E.A., 2000. Forecasting corn yield in Iowa using remotely sensed data and vegetation phenology information. In: Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, Lake Buena Vista, FL, USA, 10–12 January 2000, vol. II, pp. 460–467.
    • (2000) , pp. 460-467
    • Lee, R.1    Kastens, D.L.2    Price, K.P.3    Martinko, E.A.4
  • 38
    • 84875549888 scopus 로고    scopus 로고
    • The use of satellite data for cop yield gap analysis
    • Lobell, D.B., The use of satellite data for cop yield gap analysis. Field Crops Res. 143 (2013), 56–64.
    • (2013) Field Crops Res. , vol.143 , pp. 56-64
    • Lobell, D.B.1
  • 39
    • 85166858749 scopus 로고
    • J. GRAMI: a crop growth model that can use remotely sensed information. ARS-91, USDA Agricultural Research Service, 1–78.
    • Maas, S. J., 1992. GRAMI: a crop growth model that can use remotely sensed information. ARS-91, USDA Agricultural Research Service, 1–78.
    • (1992)
    • Maas, S.1
  • 40
    • 0035004435 scopus 로고    scopus 로고
    • Analysis of GAC NDVI data for cropland identification and yield forecasting in Mediterranean African countries
    • Maselli, F., Rembold, F., Analysis of GAC NDVI data for cropland identification and yield forecasting in Mediterranean African countries. Photogramm. Eng. Remote Sens. 67 (2001), 593–602.
    • (2001) Photogramm. Eng. Remote Sens. , vol.67 , pp. 593-602
    • Maselli, F.1    Rembold, F.2
  • 41
    • 0034526769 scopus 로고    scopus 로고
    • Processing of GAC NDVI data for yield forecasting in the Sahelian region
    • Maselli, F., Romanelli, S., Bottai, L., Maracchi, G., Processing of GAC NDVI data for yield forecasting in the Sahelian region. Int. J. Remote Sens. 21 (2000), 3509–3523.
    • (2000) Int. J. Remote Sens. , vol.21 , pp. 3509-3523
    • Maselli, F.1    Romanelli, S.2    Bottai, L.3    Maracchi, G.4
  • 43
    • 84874761236 scopus 로고    scopus 로고
    • Remote sensing based yield estimation in a stochastic framework—case study of durum wheat in Tunisia
    • Meroni, M., Marinho, E., Sghaier, N., Verstrate, M., Leo, O., Remote sensing based yield estimation in a stochastic framework—case study of durum wheat in Tunisia. Remote Sens. 5 (2013), 539–557.
    • (2013) Remote Sens. , vol.5 , pp. 539-557
    • Meroni, M.1    Marinho, E.2    Sghaier, N.3    Verstrate, M.4    Leo, O.5
  • 44
    • 78651435852 scopus 로고    scopus 로고
    • Crop yield forecasting on the Canadian Prairies using MODIS NDVI data
    • Mkhabela, M., Bullock, P., Raj, S., Wang, S., Yang, Y., Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. Agric. For. Meteorol. 151 (2011), 385–393.
    • (2011) Agric. For. Meteorol. , vol.151 , pp. 385-393
    • Mkhabela, M.1    Bullock, P.2    Raj, S.3    Wang, S.4    Yang, Y.5
  • 45
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models, Part I – A discussion of principles
    • Nash, J.E., Sutcliffe, J.V., River flow forecasting through conceptual models, Part I – A discussion of principles. J. Hydrol. 10 (1970), 282–290.
    • (1970) J. Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 46
    • 0035882614 scopus 로고    scopus 로고
    • Study of crop growth parameters using Airborne Imaging Spectrometer data
    • Patel, N.K., Patnaik, C., Dutta, S., Shekh, A.M., Dane, A.J., Study of crop growth parameters using Airborne Imaging Spectrometer data. Int. J. Remote Sens. 22 (2001), 2401–2411.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 2401-2411
    • Patel, N.K.1    Patnaik, C.2    Dutta, S.3    Shekh, A.M.4    Dane, A.J.5
  • 47
    • 0026359477 scopus 로고
    • A model of regional primary production for use with coarse resolution satellite data
    • Prince, S.D., A model of regional primary production for use with coarse resolution satellite data. Int. J. Remote Sens. 12 (1991), 1313–1330.
    • (1991) Int. J. Remote Sens. , vol.12 , pp. 1313-1330
    • Prince, S.D.1
  • 48
    • 85166868258 scopus 로고    scopus 로고
    • The impact of environmental changes related different sowing time on the yield of maize
    • (In Hungarian) Acta Agraria Debreceniensis
    • Ragán, P., Bakó K.I., Sedlák, G. 2014. The impact of environmental changes related different sowing time on the yield of maize. (In Hungarian) Acta Agraria Debreceniensis 55, 99-104.
    • (2014) , vol.55 , pp. 99-104
    • Ragán, P.1    Bakó, K.I.2    Sedlák, G.3
  • 49
    • 18544389526 scopus 로고    scopus 로고
    • Usefulness and limits of MODIS GPP for estimating wheat yield
    • Reeves, M.C., Zhao, M., Running, S.W., Usefulness and limits of MODIS GPP for estimating wheat yield. Int. J. Remote Sens. 26 (2005), 1403–1421.
    • (2005) Int. J. Remote Sens. , vol.26 , pp. 1403-1421
    • Reeves, M.C.1    Zhao, M.2    Running, S.W.3
  • 50
    • 84877678838 scopus 로고    scopus 로고
    • Using low resolution satellite imagey for yield prediction and yield anomaly detection
    • Rembold, F., Atzberger, C., Rojas, O., Savin, I., Using low resolution satellite imagey for yield prediction and yield anomaly detection. Remote Sens. 5 (2013), 1704–1733.
    • (2013) Remote Sens. , vol.5 , pp. 1704-1733
    • Rembold, F.1    Atzberger, C.2    Rojas, O.3    Savin, I.4
  • 51
    • 54849411536 scopus 로고    scopus 로고
    • Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
    • Ren, J., Chen, Z., Zhou, Q., Tang, H., Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. Int. J. Appl. Earth Obs. Geoinf. 10 (2008), 403–413.
    • (2008) Int. J. Appl. Earth Obs. Geoinf. , vol.10 , pp. 403-413
    • Ren, J.1    Chen, Z.2    Zhou, Q.3    Tang, H.4
  • 52
    • 0034522818 scopus 로고    scopus 로고
    • Estimating crop yields and production by integrating the FAO Crop Specific Water data and ground-based ancillary data
    • Reynolds, C.A., Yitayew, M., Slack, D.C., Hatchinson, C.F., Huete, A., Petersen, M.S., Estimating crop yields and production by integrating the FAO Crop Specific Water data and ground-based ancillary data. Int. J. Remote Sens. 21 (2000), 3487–3508.
    • (2000) Int. J. Remote Sens. , vol.21 , pp. 3487-3508
    • Reynolds, C.A.1    Yitayew, M.2    Slack, D.C.3    Hatchinson, C.F.4    Huete, A.5    Petersen, M.S.6
  • 53
    • 80052327172 scopus 로고    scopus 로고
    • Evaluation of sentinel-2 spectral sampling for radiative transfer model based LAI estimation of wheat, sugar beet, and maize
    • Richter, K., Atzberger, C., Vuolo, F., D'Urso, G., Evaluation of sentinel-2 spectral sampling for radiative transfer model based LAI estimation of wheat, sugar beet, and maize. IEEE J Sel. Top. Appl. Earth Obs. Remote Sens. 4 (2011), 458–464.
    • (2011) IEEE J Sel. Top. Appl. Earth Obs. Remote Sens. , vol.4 , pp. 458-464
    • Richter, K.1    Atzberger, C.2    Vuolo, F.3    D'Urso, G.4
  • 54
    • 0026359304 scopus 로고
    • Wheat yield estimation at the farm level using TM Landsat and agrometeorological data
    • Rudorff, B.F.T., Barista, G.T., Wheat yield estimation at the farm level using TM Landsat and agrometeorological data. Int. J. Remote Sens. 12 (1991), 2477–2484.
    • (1991) Int. J. Remote Sens. , vol.12 , pp. 2477-2484
    • Rudorff, B.F.T.1    Barista, G.T.2
  • 55
    • 0022209460 scopus 로고
    • Canopy reflectance, photosynthesis and transpiration
    • Sellers, P.J., Canopy reflectance, photosynthesis and transpiration. Int. J. Remote Sens. 6:8 (1985), 1335–1372.
    • (1985) Int. J. Remote Sens. , vol.6 , Issue.8 , pp. 1335-1372
    • Sellers, P.J.1
  • 56
    • 84872872459 scopus 로고    scopus 로고
    • MODIS-based corn grain yield estimation model incorporating crop phenology information
    • Sakamoto, T., Gitelson, A.A., Arkebauer, T.J., MODIS-based corn grain yield estimation model incorporating crop phenology information. Remote Sens. Environ. 131 (2013), 215–231.
    • (2013) Remote Sens. Environ. , vol.131 , pp. 215-231
    • Sakamoto, T.1    Gitelson, A.A.2    Arkebauer, T.J.3
  • 59
    • 0020642269 scopus 로고
    • Estimation of sugar beet productivity from reflection in the red and infrared spectral bands
    • Steven, M.D., Biscoe, P.V., Jaggard, K.W., Estimation of sugar beet productivity from reflection in the red and infrared spectral bands. Int. J. Remote Sens. 4 (1983), 325–334.
    • (1983) Int. J. Remote Sens. , vol.4 , pp. 325-334
    • Steven, M.D.1    Biscoe, P.V.2    Jaggard, K.W.3
  • 60
    • 84954561968 scopus 로고    scopus 로고
    • Agricultural biomass monitoring on watersheds based on remote sensed data
    • Tamás, J., Nagy, A., Fehér, J., Agricultural biomass monitoring on watersheds based on remote sensed data. Water Sci. Technol. 72:12 (2015), 2212–2220.
    • (2015) Water Sci. Technol. , vol.72 , Issue.12 , pp. 2212-2220
    • Tamás, J.1    Nagy, A.2    Fehér, J.3
  • 61
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker, C.J., Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8 (1979), 127–150.
    • (1979) Remote Sens. Environ. , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 62
  • 64
    • 84874772599 scopus 로고    scopus 로고
    • Estimation of Leaf Area Index using DEIMOS-1 data: calibration and transferability of a semi-empirical relationship between two agricultural areas
    • Vuolo, F., Neugebauer, N., Falanga, S., Atzberger, C., D'Urso, G., Estimation of Leaf Area Index using DEIMOS-1 data: calibration and transferability of a semi-empirical relationship between two agricultural areas. Remote Sens. 5 (2013), 1274–1291.
    • (2013) Remote Sens. , vol.5 , pp. 1274-1291
    • Vuolo, F.1    Neugebauer, N.2    Falanga, S.3    Atzberger, C.4    D'Urso, G.5
  • 65
    • 34247523027 scopus 로고    scopus 로고
    • Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains
    • Wardlow, B.D., Egbert, S.L., Kastens, J.H., Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains. Remote Sens. Environ. 108 (2007), 290–310.
    • (2007) Remote Sens. Environ. , vol.108 , pp. 290-310
    • Wardlow, B.D.1    Egbert, S.L.2    Kastens, J.H.3
  • 66
    • 0000275093 scopus 로고
    • Use of spectral vegetation indexes to infer leaf-area, evapotranspiration and yield
    • Wiegand, C.L., Richardson, A.J., Use of spectral vegetation indexes to infer leaf-area, evapotranspiration and yield. Results Agron. J. 82 (1990), 630–636.
    • (1990) Results Agron. J. , vol.82 , pp. 630-636
    • Wiegand, C.L.1    Richardson, A.J.2
  • 68
    • 84870818313 scopus 로고    scopus 로고
    • How NDVI trends from AVHRR and SPOT VGT time series differ in agricultural areas: an Inner Mongolian case study
    • Yin, H., Udelhoven, T., Fensholt, R., Pflugmacher, D., Hostert, P., How NDVI trends from AVHRR and SPOT VGT time series differ in agricultural areas: an Inner Mongolian case study. Remote Sens. 4:11 (2012), 3364–3389.
    • (2012) Remote Sens. , vol.4 , Issue.11 , pp. 3364-3389
    • Yin, H.1    Udelhoven, T.2    Fensholt, R.3    Pflugmacher, D.4    Hostert, P.5
  • 69
    • 84980001515 scopus 로고    scopus 로고
    • Sixteen years of agricultural drought assessment of the BioBío region in Chile using a 250 m resolution vegetation condition index (VCI)
    • Zambrano, F., Lillo-Saavedra, M., Verbist, K., Lagos, O., Sixteen years of agricultural drought assessment of the BioBío region in Chile using a 250 m resolution vegetation condition index (VCI). Remote Sens., 8, 2016, 530.
    • (2016) Remote Sens. , vol.8 , pp. 530
    • Zambrano, F.1    Lillo-Saavedra, M.2    Verbist, K.3    Lagos, O.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.