메뉴 건너뛰기




Volumn 195, Issue , 2017, Pages 244-258

Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model

Author keywords

Agriculture; Classification; GDD; GMM; Mapping; MERRA2; Mixture model; Modis; Winter crop

Indexed keywords

AGRICULTURE; CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; IMAGE RECONSTRUCTION; MAPPING; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES ANALYSIS; VEGETATION;

EID: 85018380879     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.04.026     Document Type: Article
Times cited : (186)

References (51)
  • 1
    • 84893010172 scopus 로고    scopus 로고
    • Global Land Cover Map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université catholique de Louvain (UCL)
    • Arino, O., Ramos Perez, J.J., Kalogirou, V., Bontemps, S., Defourny, P., Van Bogaert, E., Global Land Cover Map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université catholique de Louvain (UCL). 2012, 10.1594/PANGAEA.787668.
    • (2012)
    • Arino, O.1    Ramos Perez, J.J.2    Kalogirou, V.3    Bontemps, S.4    Defourny, P.5    Van Bogaert, E.6
  • 2
    • 84874775534 scopus 로고    scopus 로고
    • Mapping the spatial distribution of winter crops at sub-pixel level using AVHRR NDVI time series and neural nets
    • Atzberger, C., Rembold, F., Mapping the spatial distribution of winter crops at sub-pixel level using AVHRR NDVI time series and neural nets. Remote Sens. 5:3 (2013), 1335–1354.
    • (2013) Remote Sens. , vol.5 , Issue.3 , pp. 1335-1354
    • Atzberger, C.1    Rembold, F.2
  • 3
    • 84860392830 scopus 로고    scopus 로고
    • Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project
    • Becker-Reshef, I., Justice, C., Sullivan, M., Vermote, E., Tucker, C., Anyamba, A.,.. Hansen, M., Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project. Remote Sens. 2:6 (2010), 1589–1609.
    • (2010) Remote Sens. , vol.2 , Issue.6 , pp. 1589-1609
    • Becker-Reshef, I.1    Justice, C.2    Sullivan, M.3    Vermote, E.4    Tucker, C.5    Anyamba, A.6    Hansen, M.7
  • 4
    • 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. 114:6 (2010), 1312–1323.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.6 , pp. 1312-1323
    • Becker-Reshef, I.1    Vermote, E.2    Lindeman, M.3    Justice, C.4
  • 5
    • 33846516584 scopus 로고    scopus 로고
    • Pattern Recognition and Machine Learning
    • Springer New York (Chapter 9)
    • Bishop, C.M., Pattern Recognition and Machine Learning. 2006, Springer, New York (Chapter 9).
    • (2006)
    • Bishop, C.M.1
  • 6
    • 79960831514 scopus 로고    scopus 로고
    • Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program
    • Boryan, C., Yang, Z., Mueller, R., Craig, M., Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program. Geocarto Int. 26:5 (2011), 341–358.
    • (2011) Geocarto Int. , vol.26 , Issue.5 , pp. 341-358
    • Boryan, C.1    Yang, Z.2    Mueller, R.3    Craig, M.4
  • 7
    • 84921024015 scopus 로고    scopus 로고
    • A new automatic stratification method for U.S. agricultural area sampling frame construction based on the cropland data layer
    • Boryan, C.G., Yang, Z., Di, L., Hunt, K., A new automatic stratification method for U.S. agricultural area sampling frame construction based on the cropland data layer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. 7:11 (2014), 4317–4327.
    • (2014) IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. , vol.7 , Issue.11 , pp. 4317-4327
    • Boryan, C.G.1    Yang, Z.2    Di, L.3    Hunt, K.4
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A.P., Laird, N.M., Rubin, D.B., Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 39:1 (1977), 1–38.
    • (1977) J. R. Stat. Soc. B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 9
    • 85027950286 scopus 로고    scopus 로고
    • Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information
    • Franch, B., Vermote, E.F., Becker-Reshef, I., Claverie, M., Huang, J., Zhang, J., Justice, C., Sobrino, J.A., Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information. Remote Sens. Environ. 161 (2015), 131–148.
    • (2015) Remote Sens. Environ. , vol.161 , pp. 131-148
    • Franch, B.1    Vermote, E.F.2    Becker-Reshef, I.3    Claverie, M.4    Huang, J.5    Zhang, J.6    Justice, C.7    Sobrino, J.A.8
  • 13
    • 84886045513 scopus 로고    scopus 로고
    • Accuracy objectivity and efficiency of remote sensing for agricultural statistics
    • R. Benedetti F. Piersimoni M. Bee G. Espa John Wiley & Sons Chichester
    • Gallego, F.J., Carfagna, E., Baruth, B., Accuracy objectivity and efficiency of remote sensing for agricultural statistics. Benedetti, R., Piersimoni, F., Bee, M., Espa, G., (eds.) Agricultural Survey Methods, 2010, John Wiley & Sons, Chichester, 193–211.
    • (2010) Agricultural Survey Methods , pp. 193-211
    • Gallego, F.J.1    Carfagna, E.2    Baruth, B.3
  • 15
    • 84961815144 scopus 로고    scopus 로고
    • Optical remotely sensed time series data for land cover classification: a review
    • Gómez, C., White, J.C., Wulder, M.A., Optical remotely sensed time series data for land cover classification: a review. ISPRS J. Photogramm. Remote Sens. 116 (2016), 55–72.
    • (2016) ISPRS J. Photogramm. Remote Sens. , vol.116 , pp. 55-72
    • Gómez, C.1    White, J.C.2    Wulder, M.A.3
  • 16
    • 0034655867 scopus 로고    scopus 로고
    • Global land cover classification at 1 km spatial resolution using a classification tree approach
    • Hansen, M.C., DeFries, R.S., Townshend, J.R., Sohlberg, R., Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 21:6–7 (2000), 1331–1364.
    • (2000) Int. J. Remote Sens. , vol.21 , Issue.6-7 , pp. 1331-1364
    • Hansen, M.C.1    DeFries, R.S.2    Townshend, J.R.3    Sohlberg, R.4
  • 17
    • 84930024323 scopus 로고    scopus 로고
    • Feature selection of time series MODIS data for early crop classification using random forest: a case study in Kansas, USA
    • Hao, P., Zhan, Y., Wang, L., Niu, Z., Shakir, M., Feature selection of time series MODIS data for early crop classification using random forest: a case study in Kansas, USA. Remote Sens. 7:5 (2015), 5347–5369.
    • (2015) Remote Sens. , vol.7 , Issue.5 , pp. 5347-5369
    • Hao, P.1    Zhan, Y.2    Wang, L.3    Niu, Z.4    Shakir, M.5
  • 18
    • 84997771292 scopus 로고    scopus 로고
    • A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products
    • Johnson, D.M., A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products. Int. J. Appl. Earth Obs. Geoinf. 52 (2016), 65–81.
    • (2016) Int. J. Appl. Earth Obs. Geoinf. , vol.52 , pp. 65-81
    • Johnson, D.M.1
  • 19
    • 84960193063 scopus 로고    scopus 로고
    • Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan
    • Khan, A., Hansen, M.C., Potapov, P., Stehman, S.V., Chatta, A.A., Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan. Int. J. Remote Sens. 37:6 (2016), 1391–1410.
    • (2016) Int. J. Remote Sens. , vol.37 , Issue.6 , pp. 1391-1410
    • Khan, A.1    Hansen, M.C.2    Potapov, P.3    Stehman, S.V.4    Chatta, A.A.5
  • 25
    • 84924262090 scopus 로고    scopus 로고
    • Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level
    • López-Lozano, R., Duveiller, G., Seguini, L., Meroni, M., García-Condado, S., Hooker, J.,.. Baruth, B., Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level. Agric. For. Meteorol. 206 (2015), 12–32.
    • (2015) Agric. For. Meteorol. , vol.206 , pp. 12-32
    • López-Lozano, R.1    Duveiller, G.2    Seguini, L.3    Meroni, M.4    García-Condado, S.5    Hooker, J.6    Baruth, B.7
  • 26
    • 34047163965 scopus 로고    scopus 로고
    • Comparative assessment of the measures of thematic classification accuracy
    • Liu, C., Frazier, P., Kumar, L., Comparative assessment of the measures of thematic classification accuracy. Remote Sens. Environ. 107:4 (2007), 606–616.
    • (2007) Remote Sens. Environ. , vol.107 , Issue.4 , pp. 606-616
    • Liu, C.1    Frazier, P.2    Kumar, L.3
  • 27
    • 84945907812 scopus 로고    scopus 로고
    • An automated method for annual cropland mapping along the season for various globally-distributed Agrosystems using high spatial and temporal resolution time series
    • Matton, N., Canto, G.S., Waldner, F., Valero, S., Morin, D., Inglada, J.,.. Defourny, P., An automated method for annual cropland mapping along the season for various globally-distributed Agrosystems using high spatial and temporal resolution time series. Remote Sens. 7:10 (2015), 13208–13232.
    • (2015) Remote Sens. , vol.7 , Issue.10 , pp. 13208-13232
    • Matton, N.1    Canto, G.S.2    Waldner, F.3    Valero, S.4    Morin, D.5    Inglada, J.6    Defourny, P.7
  • 29
    • 0031452646 scopus 로고    scopus 로고
    • Growing degree-days: one equation, two interpretations
    • McMaster, G.S., Wilhelm, W.W., Growing degree-days: one equation, two interpretations. Agric. For. Meteorol. 87 (1997), 291–300.
    • (1997) Agric. For. Meteorol. , vol.87 , pp. 291-300
    • McMaster, G.S.1    Wilhelm, W.W.2
  • 30
    • 84929167850 scopus 로고    scopus 로고
    • Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2
    • Molod, A., Takacs, L., Suarez, M., Bacmeister, J., Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. Geosci. Model Dev. 8:5 (2015), 1339–1356.
    • (2015) Geosci. Model Dev. , vol.8 , Issue.5 , pp. 1339-1356
    • Molod, A.1    Takacs, L.2    Suarez, M.3    Bacmeister, J.4
  • 33
    • 84935029534 scopus 로고    scopus 로고
    • An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data
    • Shao, Y., Campbell, J.B., Taff, G.N., Zheng, B., An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data. Int. J. Appl. Earth Obs. Geoinf. 38 (2015), 78–87.
    • (2015) Int. J. Appl. Earth Obs. Geoinf. , vol.38 , pp. 78-87
    • Shao, Y.1    Campbell, J.B.2    Taff, G.N.3    Zheng, B.4
  • 34
    • 84961210112 scopus 로고    scopus 로고
    • The use of satellite data for agriculture drought risk quantification in Ukraine
    • Skakun, S., Kussul, N., Shelestov, A., Kussul, O., The use of satellite data for agriculture drought risk quantification in Ukraine. Geomatics Nat. Hazards Risk 7:3 (2016), 901–917.
    • (2016) Geomatics Nat. Hazards Risk , vol.7 , Issue.3 , pp. 901-917
    • Skakun, S.1    Kussul, N.2    Shelestov, A.3    Kussul, O.4
  • 35
    • 84938815954 scopus 로고    scopus 로고
    • Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine
    • Skakun, S., Kussul, N., Shelestov, A.Y., Lavreniuk, M., Kussul, O., Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. 9:8 (2016), 3712–3719.
    • (2016) IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. , vol.9 , Issue.8 , pp. 3712-3719
    • Skakun, S.1    Kussul, N.2    Shelestov, A.Y.3    Lavreniuk, M.4    Kussul, O.5
  • 36
    • 84927804881 scopus 로고    scopus 로고
    • Assessing global land cover reference datasets for different user communities
    • Tsendbazar, N.E., De Bruin, S., Herold, M., Assessing global land cover reference datasets for different user communities. ISPRS J. Photogramm. Remote Sens. 103 (2015), 93–114.
    • (2015) ISPRS J. Photogramm. Remote Sens. , vol.103 , pp. 93-114
    • Tsendbazar, N.E.1    De Bruin, S.2    Herold, M.3
  • 38
    • 84873166271 scopus 로고    scopus 로고
    • Harmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scale
    • Vancutsem, C., Marinho, E., Francois, K., See, L., Fritz, S., Harmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scale. Remote Sens. 5 (2013), 19–41.
    • (2013) Remote Sens. , vol.5 , pp. 19-41
    • Vancutsem, C.1    Marinho, E.2    Francois, K.3    See, L.4    Fritz, S.5
  • 39
    • 84943618000 scopus 로고    scopus 로고
    • Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images
    • Vaudour, E., Noirot-Cosson, P.E., Membrive, O., Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images. Int. J. Appl. Earth Obs. Geoinf. 42 (2015), 128–141.
    • (2015) Int. J. Appl. Earth Obs. Geoinf. , vol.42 , pp. 128-141
    • Vaudour, E.1    Noirot-Cosson, P.E.2    Membrive, O.3
  • 40
    • 85006739160 scopus 로고    scopus 로고
    • MOD09Q1 MODIS/Terra Surface Reflectance 8-day L3 Global 250m SIN Grid V006. NASA EOSDIS Land Processes DAAC
    • (Accessed 07.06.2016)
    • Vermote, E., MOD09Q1 MODIS/Terra Surface Reflectance 8-day L3 Global 250m SIN Grid V006. NASA EOSDIS Land Processes DAAC. 2015, 10.5067/MODIS/MOD09Q1.006 (Accessed 07.06.2016).
    • (2015)
    • Vermote, E.1
  • 41
    • 59749092024 scopus 로고    scopus 로고
    • Atmospheric correction for the monitoring of land surfaces
    • Vermote, E.F., Kotchenova, S., Atmospheric correction for the monitoring of land surfaces. J. Geophys. Res. Atmos. 113:D23 (2008), 1–12.
    • (2008) J. Geophys. Res. Atmos. , vol.113 , Issue.D23 , pp. 1-12
    • Vermote, E.F.1    Kotchenova, S.2
  • 42
    • 74149091065 scopus 로고    scopus 로고
    • MODIS Surface Reflectance User's Guide Collection 6
    • (Accessed 07.06.2016)
    • Vermote, E.F., Roger, J.C., Ray, J.P., MODIS Surface Reflectance User's Guide Collection 6. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/mod09_user_guide_v1.4.pdf, 2015 (Accessed 07.06.2016).
    • (2015)
    • Vermote, E.F.1    Roger, J.C.2    Ray, J.P.3
  • 43
    • 84945902495 scopus 로고    scopus 로고
    • In-season mapping of crop type with optical and X-band SAR data: a classification tree approach using synoptic seasonal features
    • Villa, P., Stroppiana, D., Fontanelli, G., Azar, R., Brivio, P.A., In-season mapping of crop type with optical and X-band SAR data: a classification tree approach using synoptic seasonal features. Remote Sens. 7:10 (2015), 12859–12886.
    • (2015) Remote Sens. , vol.7 , Issue.10 , pp. 12859-12886
    • Villa, P.1    Stroppiana, D.2    Fontanelli, G.3    Azar, R.4    Brivio, P.A.5
  • 44
    • 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. 108:3 (2007), 290–310.
    • (2007) Remote Sens. Environ. , vol.108 , Issue.3 , pp. 290-310
    • Wardlow, B.D.1    Egbert, S.L.2    Kastens, J.H.3
  • 45
    • 39749173163 scopus 로고    scopus 로고
    • Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains
    • Wardlow, B.D., Egbert, S.L., Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains. Remote Sens. Environ. 112:3 (2008), 1096–1116.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.3 , pp. 1096-1116
    • Wardlow, B.D.1    Egbert, S.L.2
  • 46
    • 84944743397 scopus 로고    scopus 로고
    • Automated annual cropland mapping using knowledge-based temporal features
    • Waldner, F., Canto, G.S., Defourny, P., Automated annual cropland mapping using knowledge-based temporal features. ISPRS J. Photogramm. Remote Sens. 110 (2015), 1–13.
    • (2015) ISPRS J. Photogramm. Remote Sens. , vol.110 , pp. 1-13
    • Waldner, F.1    Canto, G.S.2    Defourny, P.3
  • 47
    • 84982913053 scopus 로고    scopus 로고
    • Towards a set of agroasystem-specific cropland mapping methods to address the global cropland diversity
    • Waldner, F., De Abelleyra, D., Verón, S.R., Zhang, M., Wu, B., Plotnikov, D.,.. Le Maire, G., Towards a set of agroasystem-specific cropland mapping methods to address the global cropland diversity. Int. J. Remote Sens. 37:14 (2016), 3196–3231.
    • (2016) Int. J. Remote Sens. , vol.37 , Issue.14 , pp. 3196-3231
    • Waldner, F.1    De Abelleyra, D.2    Verón, S.R.3    Zhang, M.4    Wu, B.5    Plotnikov, D.6    Le Maire, G.7
  • 48
    • 84965110559 scopus 로고    scopus 로고
    • Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming: a MERRA-2 study
    • Wargan, K., Coy, L., Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming: a MERRA-2 study. J. Atmos. Sci. 73:5 (2016), 1871–1887.
    • (2016) J. Atmos. Sci. , vol.73 , Issue.5 , pp. 1871-1887
    • Wargan, K.1    Coy, L.2
  • 49
    • 84888134923 scopus 로고    scopus 로고
    • FROM-GC: 30 m global cropland extent derived through multisource data integration
    • Yu, L., Wang, J., Clinton, N., Xin, Q., Zhong, L., Chen, Y., Gong, P., FROM-GC: 30 m global cropland extent derived through multisource data integration. Int. J. Digit. Earth 6:6 (2013), 521–533.
    • (2013) Int. J. Digit. Earth , vol.6 , Issue.6 , pp. 521-533
    • Yu, L.1    Wang, J.2    Clinton, N.3    Xin, Q.4    Zhong, L.5    Chen, Y.6    Gong, P.7
  • 50
    • 84884264508 scopus 로고    scopus 로고
    • Efficient corn and soybean mapping with temporal extendability: a multi-year experiment using Landsat imagery
    • Zhong, L., Gong, P., Biging, G.S., Efficient corn and soybean mapping with temporal extendability: a multi-year experiment using Landsat imagery. Remote Sens. Environ. 140 (2014), 1–13.
    • (2014) Remote Sens. Environ. , vol.140 , pp. 1-13
    • Zhong, L.1    Gong, P.2    Biging, G.S.3
  • 51
    • 82055192022 scopus 로고    scopus 로고
    • A phenology-based approach to map crop types in the San Joaquin Valley, California
    • Zhong, L., Hawkins, T., Biging, G., Gong, P., A phenology-based approach to map crop types in the San Joaquin Valley, California. Int. J. Remote Sens. 32:22 (2011), 7777–7804.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.22 , pp. 7777-7804
    • Zhong, L.1    Hawkins, T.2    Biging, G.3    Gong, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.