메뉴 건너뛰기




Volumn 127, Issue 3, 2016, Pages 1071-1077

Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas

Author keywords

EVI; Machine learning ABNet; MODIS; Optical; USDA

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; RADIOMETERS; REMOTE SENSING; TIME SERIES;

EID: 84959387244     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2015.10.107     Document Type: Article
Times cited : (22)

References (34)
  • 1
    • 34247504106 scopus 로고    scopus 로고
    • Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon
    • J.C. Brown, and et al. Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon GISci. Remote Sens. 44 2 2007 117 148
    • (2007) GISci. Remote Sens. , vol.44 , Issue.2 , pp. 117-148
    • Brown, J.C.1
  • 2
    • 82055175960 scopus 로고    scopus 로고
    • Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping
    • C.A.J.M. de Bie, and et al. Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping Int. J. Remote Sens. 32 21 2011 6673 6693
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.21 , pp. 6673-6693
    • De Bie, C.A.J.M.1
  • 3
    • 0028582679 scopus 로고
    • NDVI-derived land cover classifications at a global scale
    • R.S. Defries, and J.R.G. Townshend NDVI-derived land cover classifications at a global scale Int. J. Remote Sens. 15 17 1994 3567 3586
    • (1994) Int. J. Remote Sens. , vol.15 , Issue.17 , pp. 3567-3586
    • Defries, R.S.1    Townshend, J.R.G.2
  • 5
    • 34247523027 scopus 로고    scopus 로고
    • Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains
    • B. Wardlow, S. Egbert, and J. Kastens Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains Remote Sens. Environ. 108 3 2007 290 310
    • (2007) Remote Sens. Environ. , vol.108 , Issue.3 , pp. 290-310
    • Wardlow, B.1    Egbert, S.2    Kastens, J.3
  • 6
    • 84885410056 scopus 로고    scopus 로고
    • Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
    • M.C. Hansen, and et al. Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD) Remote Sens. Environ. 140 2014 466 484
    • (2014) Remote Sens. Environ. , vol.140 , pp. 466-484
    • Hansen, M.C.1
  • 7
    • 84870494166 scopus 로고    scopus 로고
    • Remote sensing of rice crop areas
    • C. Kuenzer, and K. Knauer Remote sensing of rice crop areas Int. J. Remote Sens. 34 6 2012 2101 2139
    • (2012) Int. J. Remote Sens. , vol.34 , Issue.6 , pp. 2101-2139
    • Kuenzer, C.1    Knauer, K.2
  • 8
    • 39749173163 scopus 로고    scopus 로고
    • Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains
    • B.D. Wardlow, and S.L. Egbert Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the U.S. 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
  • 9
    • 82055192022 scopus 로고    scopus 로고
    • A phenology-based approach to map crop types in the San Joaquin Valley: California
    • L. Zhong, and et al. 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
  • 10
    • 54849406874 scopus 로고    scopus 로고
    • Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data
    • Z. Mingwei, and et al. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data Int. J. Appl. Earth Obs. Geoinf. 10 4 2008 476 485
    • (2008) Int. J. Appl. Earth Obs. Geoinf. , vol.10 , Issue.4 , pp. 476-485
    • Mingwei, Z.1
  • 11
    • 79953182966 scopus 로고    scopus 로고
    • Object-based crop identification using multiple vegetation indices: Textural features and crop phenology
    • J.M. Pena-Barragan, and et al. Object-based crop identification using multiple vegetation indices: textural features and crop phenology Remote Sens. Environ. 115 6 2011 1301 1316
    • (2011) Remote Sens. Environ. , vol.115 , Issue.6 , pp. 1301-1316
    • Pena-Barragan, J.M.1
  • 12
    • 84857753353 scopus 로고    scopus 로고
    • Random forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
    • V.F. Rodriguez-Galiano, and et al. Random forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture Remote Sens. Environ. 121 2012 93 107
    • (2012) Remote Sens. Environ. , vol.121 , pp. 93-107
    • Rodriguez-Galiano, V.F.1
  • 13
    • 84865820031 scopus 로고    scopus 로고
    • Crop type mapping using spectral-temporal profiles and phenological information
    • S. Foerster, and et al. Crop type mapping using spectral-temporal profiles and phenological information Comput. Electron. Agric. 89 2012 30 40
    • (2012) Comput. Electron. Agric. , vol.89 , pp. 30-40
    • Foerster, S.1
  • 14
    • 84868019256 scopus 로고    scopus 로고
    • Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California's Central Valley
    • L. Zhong, P. Gong, and G.S. Biging Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California's Central Valley Photogramm. Eng. Remote Sens. 78 8 2012 799 813
    • (2012) Photogramm. Eng. Remote Sens. , vol.78 , Issue.8 , pp. 799-813
    • Zhong, L.1    Gong, P.2    Biging, G.S.3
  • 15
    • 33749472628 scopus 로고    scopus 로고
    • Irrigated area mapping in heterogeneous landscapes with MODIS time series: Ground truth and census data, Krishna Basin, India
    • T.W. Biggs, and et al. Irrigated area mapping in heterogeneous landscapes with MODIS time series: ground truth and census data, Krishna Basin, India Int. J. Remote Sens. 27 19 2006 4245 4266
    • (2006) Int. J. Remote Sens. , vol.27 , Issue.19 , pp. 4245-4266
    • Biggs, T.W.1
  • 16
    • 33747086525 scopus 로고    scopus 로고
    • Some issues in the classification of DAIS hyperspectral data
    • M. Pal, and P.M. Mather Some issues in the classification of DAIS hyperspectral data Int. J. Remote Sens. 27 14 2006 2895 2916
    • (2006) Int. J. Remote Sens. , vol.27 , Issue.14 , pp. 2895-2916
    • Pal, M.1    Mather, P.M.2
  • 17
    • 84884264508 scopus 로고    scopus 로고
    • Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
    • L. Zhong, P. Gong, and G.S. Biging 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
  • 18
    • 84870666272 scopus 로고    scopus 로고
    • Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
    • J.C. Brown, and et al. Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data Remote Sens. Environ. 130 2013 39 50
    • (2013) Remote Sens. Environ. , vol.130 , pp. 39-50
    • Brown, J.C.1
  • 19
    • 0019895127 scopus 로고
    • Automatic corn-soybean classification using landsat MSS data. I. Near-harvest crop proportion estimation
    • G.D. Badhwar Automatic corn-soybean classification using landsat MSS data. I. Near-harvest crop proportion estimation Remote Sens. Environ. 14 1-3 1984 15 29
    • (1984) Remote Sens. Environ. , vol.14 , Issue.1-3 , pp. 15-29
    • Badhwar, G.D.1
  • 20
    • 77955933059 scopus 로고    scopus 로고
    • Rapid assessment of annual deforestation in the Brazilian Amazon using MODIS data
    • D.C. Morton, and et al. Rapid assessment of annual deforestation in the Brazilian Amazon using MODIS data Earth Interact. 9 8 2005 1 22
    • (2005) Earth Interact. , vol.9 , Issue.8 , pp. 1-22
    • Morton, D.C.1
  • 21
    • 38049035787 scopus 로고    scopus 로고
    • Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
    • G.L. Galford, and et al. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil Remote Sens. Environ. 112 2 2008 576 587
    • (2008) Remote Sens. Environ. , vol.112 , Issue.2 , pp. 576-587
    • Galford, G.L.1
  • 22
    • 34247504106 scopus 로고    scopus 로고
    • Multitemporal: Moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon
    • J. Brown, and et al. Multitemporal: moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon GISci. Remote Sens. 44 2 2007 117 148
    • (2007) GISci. Remote Sens. , vol.44 , Issue.2 , pp. 117-148
    • Brown, J.1
  • 23
    • 77956180602 scopus 로고    scopus 로고
    • A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America
    • M.L. Clark, and et al. A scalable approach to mapping annual land cover at 250 m using MODIS time series data: a case study in the Dry Chaco ecoregion of South America Remote Sens. Environ. 114 11 2010 2816 2832
    • (2010) Remote Sens. Environ. , vol.114 , Issue.11 , pp. 2816-2832
    • Clark, M.L.1
  • 24
    • 3242711291 scopus 로고    scopus 로고
    • Mapping regional land cover with MODIS data for biological conservation: Examples from the Greater Yellowstone Ecosystem, USA and Pará State, Brazil
    • K.J. Wessels, and et al. Mapping regional land cover with MODIS data for biological conservation: examples from the Greater Yellowstone Ecosystem, USA and Pará State, Brazil Remote Sens. Environ. 92 1 2004 67 83
    • (2004) Remote Sens. Environ. , vol.92 , Issue.1 , pp. 67-83
    • Wessels, K.J.1
  • 25
    • 82155170575 scopus 로고    scopus 로고
    • A comparison of Landsat TM and MODIS vegetation indices for estimating forage phenology in desert bighorn sheep (Ovis canadensis nelsoni) habitat in the Sonoran Desert: USA
    • S.E. Sesnie, and et al. A comparison of Landsat TM and MODIS vegetation indices for estimating forage phenology in desert bighorn sheep (Ovis canadensis nelsoni) habitat in the Sonoran Desert: USA Int. J. Remote Sens. 33 1 2011 276 286
    • (2011) Int. J. Remote Sens. , vol.33 , Issue.1 , pp. 276-286
    • Sesnie, S.E.1
  • 27
    • 84925848270 scopus 로고    scopus 로고
    • An efficient three-stage approach for removing salt & pepper noise from digital images
    • G. Gao, and Y. Liu An efficient three-stage approach for removing salt & pepper noise from digital images Optik 126 4 2015 467 471
    • (2015) Optik , vol.126 , Issue.4 , pp. 467-471
    • Gao, G.1    Liu, Y.2
  • 28
    • 84925850788 scopus 로고    scopus 로고
    • Technique for image de-noising based on non-subsampled shearlet transform and improved intuitionistic fuzzy entropy
    • Y. Lei Technique for image de-noising based on non-subsampled shearlet transform and improved intuitionistic fuzzy entropy Optik 126 4 2015 446 453
    • (2015) Optik , vol.126 , Issue.4 , pp. 446-453
    • Lei, Y.1
  • 29
    • 5144233854 scopus 로고    scopus 로고
    • TIMESAT - A program for analyzing time-series of satellite sensor data
    • P. Jonsson, and L. Eklundh TIMESAT - a program for analyzing time-series of satellite sensor data Comput. Geosci. 30 8 2004 833 845
    • (2004) Comput. Geosci. , vol.30 , Issue.8 , pp. 833-845
    • Jonsson, P.1    Eklundh, L.2
  • 30
    • 0036699946 scopus 로고    scopus 로고
    • Seasonality extraction by function fitting to time-series of satellite sensor data
    • P. Jonsson, and L. Eklundh Seasonality extraction by function fitting to time-series of satellite sensor data IEEE Trans. Geosci. Remote Sens. 40 8 2002 1824 1832
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , Issue.8 , pp. 1824-1832
    • Jonsson, P.1    Eklundh, L.2
  • 31
    • 79960831514 scopus 로고    scopus 로고
    • Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
    • C. Boryan, and et al. 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
  • 32
    • 0036845301 scopus 로고    scopus 로고
    • Achieving sub-pixel geolocation accuracy in support of MODIS land science
    • R.E. Wolfe, and et al. Achieving sub-pixel geolocation accuracy in support of MODIS land science Remote Sens. Environ. 83 1-2 2002 31 49
    • (2002) Remote Sens. Environ. , vol.83 , Issue.1-2 , pp. 31-49
    • Wolfe, R.E.1
  • 33
    • 0031098234 scopus 로고    scopus 로고
    • ART neural networks for remote sensing: Vegetation classification from Landsat TM and terrain data
    • G.A. Carpenter, and et al. ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data IEEE Trans. Geosci. Remote Sens. 35 2 1997 308 325
    • (1997) IEEE Trans. Geosci. Remote Sens. , vol.35 , Issue.2 , pp. 308-325
    • Carpenter, G.A.1
  • 34
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • R.G. Congalton A review of assessing the accuracy of classifications of remotely sensed data Remote Sens. Environ. 37 1 1991 35 46
    • (1991) Remote Sens. Environ. , vol.37 , Issue.1 , pp. 35-46
    • Congalton, R.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.