메뉴 건너뛰기




Volumn 8, Issue 1, 2018, Pages

Rapid crop cover mapping for the conterminous United States

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CROP; ERROR; GROWING SEASON; INDEPENDENT VARIABLE; NONHUMAN; UNITED STATES;

EID: 85048136406     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-018-26284-w     Document Type: Article
Times cited : (14)

References (52)
  • 1
    • 85009801545 scopus 로고    scopus 로고
    • Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier
    • Friesz, A. M., Wylie, B. K. & Howard, D. M. Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier. Remote Sens. Lett. 8, 389-398, https://doi.org/10.1080/2150704x.2016.1271469 (2017).
    • (2017) Remote Sens. Lett. , vol.8 , pp. 389-398
    • Friesz, A.M.1    Wylie, B.K.2    Howard, D.M.3
  • 2
    • 84923552740 scopus 로고    scopus 로고
    • Annual crop type classification of the US Great plains for 2000 to 2011
    • Howard, D. M. & Wylie, B. K. Annual crop type classification of the US Great plains for 2000 to 2011. Photogramm. Eng. Remote Sens. 80, 537-549, https://doi.org/10.14358/PERS.80.6.537-549 (2014).
    • (2014) Photogramm. Eng. Remote Sens. , vol.80 , pp. 537-549
    • Howard, D.M.1    Wylie, B.K.2
  • 3
    • 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. W., Mueller, R. & Craig, M. Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program. Geocarto Int. 26, 341-358, https://doi.org/10.1080/10106049.2011.5 62309 (2011).
    • (2011) Geocarto Int. , vol.26 , pp. 341-358
    • Boryan, C.1    Yang, Z.W.2    Mueller, R.3    Craig, M.4
  • 4
    • 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
    • Wardlow, B. D. & Egbert, S. L. 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, 1096-1116, https://doi.org/10.1016/j.rse.2007.07.019 (2008).
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1096-1116
    • Wardlow, B.D.1    Egbert, S.L.2
  • 5
    • 84872033244 scopus 로고    scopus 로고
    • CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements
    • Gilmanov, T. G. et al. CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements. Agri. Ecosyst. Environ. 164, 162-175, https://doi.org/10.1016/j.agee.2012.09.017 (2013).
    • (2013) Agri. Ecosyst. Environ. , vol.164 , pp. 162-175
    • Gilmanov, T.G.1
  • 6
    • 78649846882 scopus 로고    scopus 로고
    • Bird communities in future bioenergy landscapes of the Upper Midwest
    • Meehan, T. D., Hurlbert, A. H. & Gratton, C. Bird communities in future bioenergy landscapes of the Upper Midwest. Proc. Natl. Acad. Sci. USA 107, 18533-18538, https://doi.org/10.1073/pnas.1008475107 (2010).
    • (2010) Proc. Natl. Acad. Sci. USA , vol.107 , pp. 18533-18538
    • Meehan, T.D.1    Hurlbert, A.H.2    Gratton, C.3
  • 7
    • 84874637637 scopus 로고    scopus 로고
    • Recent land use change in the Western Corn Belt threatens grasslands and wetlands
    • Wright, C. K. & Wimberly, M. C. Recent land use change in the Western Corn Belt threatens grasslands and wetlands. Proc. Natl. Acad. Sci. USA 110, 4134-4139, https://doi.org/10.1073/pnas.1215404110 (2013).
    • (2013) Proc. Natl. Acad. Sci. USA , vol.110 , pp. 4134-4139
    • Wright, C.K.1    Wimberly, M.C.2
  • 8
    • 84987638518 scopus 로고    scopus 로고
    • Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains
    • Otto, C. R. V., Roth, C. L., Carlson, B. L. & Smart, M. D. Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains. Proc. Natl. Acad. Sci. USA 113, 10430-10435, https://doi.org/10.1073/pnas.1603481113 (2016).
    • (2016) Proc. Natl. Acad. Sci. USA , vol.113 , pp. 10430-10435
    • Otto, C.R.V.1    Roth, C.L.2    Carlson, B.L.3    Smart, M.D.4
  • 9
    • 58149507696 scopus 로고    scopus 로고
    • Increasing corn for biofuel production reduces biocontrol services in agricultural landscapes
    • Landis, D. A., Gardiner, M. M., van der Werf, W. & Swinton, S. M. Increasing corn for biofuel production reduces biocontrol services in agricultural landscapes. Proc. Natl. Acad. Sci. USA 105, 20552-20557, https://doi.org/10.1073/pnas.0804951106 (2008).
    • (2008) Proc. Natl. Acad. Sci. USA , vol.105 , pp. 20552-20557
    • Landis, D.A.1    Gardiner, M.M.2    Van Der Werf, W.3    Swinton, S.M.4
  • 10
    • 77149174866 scopus 로고    scopus 로고
    • Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research
    • Maxwell, S. K., Meliker, J. R. & Goovaerts, P. Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. J. Expo. Sci. Environ. Epidemiol. 20, 176-185, https://doi.org/10.1038/jes.2009.7 (2010).
    • (2010) J. Expo. Sci. Environ. Epidemiol. , vol.20 , pp. 176-185
    • Maxwell, S.K.1    Meliker, J.R.2    Goovaerts, P.3
  • 11
    • 33745033277 scopus 로고    scopus 로고
    • Proximity to crops and residential exposure to agricultural herbicides in Iowa
    • Ward, M. H. et al. Proximity to crops and residential exposure to agricultural herbicides in Iowa. Environ Health Persp 114, 893-897, https://doi.org/10.1289/ehp.8770 (2006).
    • (2006) Environ Health Persp , vol.114 , pp. 893-897
    • Ward, M.H.1
  • 12
    • 33750343655 scopus 로고    scopus 로고
    • Land-cover change detection using multi-temporal MODIS NDVI data
    • Lunetta, R. S., Knight, J. F., Ediriwickrema, J., Lyon, J. G. & Worthy, L. D. Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sens. Environ. 105, 142-154, https://doi.org/10.1016/j.rse.2006.06.018 (2006).
    • (2006) Remote Sens. Environ. , vol.105 , pp. 142-154
    • Lunetta, R.S.1    Knight, J.F.2    Ediriwickrema, J.3    Lyon, J.G.4    Worthy, L.D.5
  • 13
    • 84988841366 scopus 로고    scopus 로고
    • NASS
    • NASS. Cropscape and Cropland Data Layer, http://www.nass.usda.gov/Research-and-Science/Cropland/SARS1a.php (2017).
    • (2017) Cropscape and Cropland Data Layer
  • 14
    • 84994607536 scopus 로고    scopus 로고
    • Rapid corn and soybean mapping in US Corn Belt and neighboring areas
    • Zhong, L., Yu, L., Li, X., Hu, L. & Gong, P. Rapid corn and soybean mapping in US Corn Belt and neighboring areas. Sci. Rep. 6, 36240, https://doi.org/10.1038/srep36240 (2016).
    • (2016) Sci. Rep. , vol.6 , pp. 36240
    • Zhong, L.1    Yu, L.2    Li, X.3    Hu, L.4    Gong, P.5
  • 15
    • 85014705870 scopus 로고    scopus 로고
    • Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
    • Xiong, J. et al. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS J. Photogramm. Remote Sens. 126, 225-244, https://doi.org/10.1016/j.isprsjprs.2017.01.019 (2017).
    • (2017) ISPRS J. Photogramm. Remote Sens. , vol.126 , pp. 225-244
    • Xiong, J.1
  • 16
    • 84897374226 scopus 로고    scopus 로고
    • Near real-time prediction of U.S. Corn yields based on time-series MODIS data
    • Sakamoto, T., Gitelson, A. A. & Arkebauer, T. J. Near real-time prediction of U.S. corn yields based on time-series MODIS data. Remote Sens. Environ. 147, 219-231, https://doi.org/10.1016/j.rse.2014.03.008 (2014).
    • (2014) Remote Sens. Environ. , vol.147 , pp. 219-231
    • Sakamoto, T.1    Gitelson, A.A.2    Arkebauer, T.J.3
  • 17
    • 33947676794 scopus 로고    scopus 로고
    • Completion of the 2001 national land cover database for the conterminous United States
    • Homer, C. et al. Completion of the 2001 National Land Cover Database for the conterminous United States. Photogramm. Eng. Remote Sens. 73, 337-341 (2007).
    • (2007) Photogramm. Eng. Remote Sens. , vol.73 , pp. 337-341
    • Homer, C.1
  • 18
    • 84887724460 scopus 로고    scopus 로고
    • High-resolution global maps of 21st-century forest cover change
    • Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850-853, https://doi.org/10.1126/science.1244693 (2013).
    • (2013) Science , vol.342 , pp. 850-853
    • Hansen, M.C.1
  • 19
    • 77958478647 scopus 로고    scopus 로고
    • Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data
    • Lunetta, R. S., Shao, Y., Ediriwickrema, J. & Lyon, J. G. Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data. Int. J. Appl. Earth Obs. Geoinf. 12, 81-88, https://doi.org/10.1016/j.jag.2009.11.005 (2010).
    • (2010) Int. J. Appl. Earth Obs. Geoinf. , vol.12 , pp. 81-88
    • Lunetta, R.S.1    Shao, Y.2    Ediriwickrema, J.3    Lyon, J.G.4
  • 20
    • 80052699513 scopus 로고    scopus 로고
    • Completion of the 2006 National Land Cover Database for the Conterminous United States
    • Fry, J. A. et al. Completion of the 2006 National Land Cover Database for the Conterminous United States. Photogramm. Eng. Remote Sens. 77, 858-864 (2011).
    • (2011) Photogramm. Eng. Remote Sens. , vol.77 , pp. 858-864
    • Fry, J.A.1
  • 21
    • 84929465562 scopus 로고    scopus 로고
    • Completion of the 2011 national land cover database for the Conterminous United States - Representing a decade of land cover change information
    • Homer, C. et al. Completion of the 2011 national land cover database for the Conterminous United States - Representing a decade of land cover change information. Photogramm. Eng. Remote Sens. 81, 345-354, https://doi.org/10.14358/Pers.81.5.345 (2015).
    • (2015) Photogramm. Eng. Remote Sens. , vol.81 , pp. 345-354
    • Homer, C.1
  • 25
    • 0344972104 scopus 로고    scopus 로고
    • Decision tree classification of land cover from remotely sensed data
    • Friedl, M. A. & Brodley, C. E. Decision tree classification of land cover from remotely sensed data. Remote Sens. Environ. 61, 399-409, https://doi.org/10.1016/S0034-4257(97)00049-7 (1997).
    • (1997) Remote Sens. Environ. , vol.61 , pp. 399-409
    • Friedl, M.A.1    Brodley, C.E.2
  • 27
    • 84899699705 scopus 로고    scopus 로고
    • Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin
    • Pastick, N. J. et al. Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin. Geoderma 230-231, 79-94, https://doi.org/10.1016/j.geoderma.2014.04.008 (2014).
    • (2014) Geoderma , vol.230-231 , pp. 79-94
    • Pastick, N.J.1
  • 28
    • 84892170402 scopus 로고    scopus 로고
    • Synergistic use of optical and PolSAR imagery for urban impervious surface estimation
    • Guo, H., Yang, H., Sun, Z., Li, X. & Wang, C. Synergistic use of optical and PolSAR imagery for urban impervious surface estimation. Photogrammetric Engineering & Remote Sensing 80, 91-102, https://doi.org/10.14358/pers.80.1.91 (2014).
    • (2014) Photogrammetric Engineering & Remote Sensing , vol.80 , pp. 91-102
    • Guo, H.1    Yang, H.2    Sun, Z.3    Li, X.4    Wang, C.5
  • 29
    • 85021727116 scopus 로고    scopus 로고
    • Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
    • Sun, Z., Leinenkugel, P., Guo, H., Huang, C. & Kuenzer, C. Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method. J. Appl. Remote Sens. 11, 026011, https://doi.org/10.1117/1.jrs.11.026011 (2017).
    • (2017) J. Appl. Remote Sens. , vol.11 , pp. 026011
    • Sun, Z.1    Leinenkugel, P.2    Guo, H.3    Huang, C.4    Kuenzer, C.5
  • 33
    • 85019714568 scopus 로고    scopus 로고
    • An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
    • Gu, Y. et al. An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data. Remote Sens. 8, 943, https://doi.org/10.3390/rs8110943 (2016).
    • (2016) Remote Sens. , vol.8 , pp. 943
    • Gu, Y.1
  • 34
    • 85048095420 scopus 로고    scopus 로고
    • Plublications
    • Plublications. National Crop Progress, https://www.nass.usda.gov/Publications/National-Crop-Progress/(2018).
    • (2018) National Crop Progress
  • 35
    • 85019707809 scopus 로고    scopus 로고
    • Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis
    • Wylie, B. et al. Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis. Remote Sens. 8, 944, https://doi.org/10.3390/rs8110944 (2016).
    • (2016) Remote Sens. , vol.8 , pp. 944
    • Wylie, B.1
  • 36
    • 84055177847 scopus 로고    scopus 로고
    • Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems
    • Glenn, E. P., Neale, C. M. U., Hunsaker, D. J. & Nagler, P. L. Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems. Hydrol. Process. 25, 4050-4062, https://doi.org/10.1002/hyp.8392 (2011).
    • (2011) Hydrol. Process. , vol.25 , pp. 4050-4062
    • Glenn, E.P.1    Neale, C.M.U.2    Hunsaker, D.J.3    Nagler, P.L.4
  • 37
    • 84928311237 scopus 로고    scopus 로고
    • January
    • Idaho Department of Water Resources (IDWR). Enhanced Snake Plain Aquifer Model Version 2.1 (January 2013), https://www. idwr.idaho.gov/Browse/WaterInfo/ESPAM/ESPAM-2-Final-Report/ESPAM21FinalReport.pdf.
    • (2013) Enhanced Snake Plain Aquifer Model Version 2.1
  • 38
    • 70349551475 scopus 로고    scopus 로고
    • Estimation of crop coefficients using satellite remote sensing
    • Singh, R. K. & Irmak, A. Estimation of crop coefficients using satellite remote sensing. Journal of Irrigation and Drainage Engineering 135, 597-608, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000052 (2009).
    • (2009) Journal of Irrigation and Drainage Engineering , vol.135 , pp. 597-608
    • Singh, R.K.1    Irmak, A.2
  • 39
    • 85018492301 scopus 로고    scopus 로고
    • Recent grassland losses are concentrated around U.S. Ethanol refineries
    • Wright, C. K., Larson, B., Lark, T. J. & Gibbs, H. K. Recent grassland losses are concentrated around U.S. ethanol refineries. Environ. Res. Lett. 12, 044001, https://doi.org/10.1088/1748-9326/aa6446 (2017).
    • Environ. Res. Lett. , vol.12 , pp. 044001
    • Wright, C.K.1    Larson, B.2    Lark, T.J.3    Gibbs, H.K.4
  • 40
    • 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, 290-310, https://doi.org/10.1016/j.rse.2006.11.021 (2007).
    • (2007) Remote Sens. Environ. , vol.108 , pp. 290-310
    • Wardlow, B.D.1    Egbert, S.L.2    Kastens, J.H.3
  • 41
    • 84988841366 scopus 로고    scopus 로고
    • FAQ's
    • FAQ's. CropScape and Cropland Data Layers, https://www.nass.usda.gov/Research-and-Science/Cropland/sarsfaqs2.php#Section 3-18.0 (2017).
    • (2017) CropScape and Cropland Data Layers
  • 42
    • 84867417663 scopus 로고    scopus 로고
    • A 2010 map estimate of annually tilled cropland within the conterminous United States
    • Johnson, D. M. A 2010 map estimate of annually tilled cropland within the conterminous United States. Agric. Syst. 114, 95-105, https://doi.org/10.1016/j.agsy.2012.08.004 (2013).
    • (2013) Agric. Syst. , vol.114 , pp. 95-105
    • Johnson, D.M.1
  • 43
    • 84999015235 scopus 로고    scopus 로고
    • Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative
    • Zhu, Z. et al. Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative. ISPRS J. Photogramm. Remote Sens. 122, 206-221, https://doi.org/10.1016/j.isprsjprs.2016.11.004 (2016).
    • (2016) ISPRS J. Photogramm. Remote Sens. , vol.122 , pp. 206-221
    • Zhu, Z.1
  • 44
    • 84888050432 scopus 로고    scopus 로고
    • An assessment of pre- And within-season remotely sensed variables for forecasting corn and soybean yields in the United States
    • Johnson, D. M. An assessment of pre- And within-season remotely sensed variables for forecasting corn and soybean yields in the United States. Remote Sens. Environ. 141, 116-128, https://doi.org/10.1016/j.rse.2013.10.027 (2014).
    • (2014) Remote Sens. Environ. , vol.141 , pp. 116-128
    • Johnson, D.M.1
  • 45
    • 84962834139 scopus 로고    scopus 로고
    • POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
    • Chaney, N. W. et al. POLARIS: A 30-meter probabilistic soil series map of the contiguous United States. Geoderma 274, 54-67, https://doi.org/10.1016/j.geoderma.2016.03.025 (2016).
    • (2016) Geoderma , vol.274 , pp. 54-67
    • Chaney, N.W.1
  • 46
    • 85048074795 scopus 로고    scopus 로고
    • Agricultural Statistics Board. Crop Production 2009 Summary. (USDA, NASS), https://www.nass.usda.gov/Publications/Todays- Reports/reports/cropan10.pdf.
    • Crop Production 2009 Summary. (USDA,NASS
  • 47
    • 85021759504 scopus 로고    scopus 로고
    • MODIS phenology-derived, multi-year distribution of conterminous U.S. Crop types
    • Massey, R. et al. MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types. Remote Sens. Environ. 198, 490-503, https://doi.org/10.1016/j.rse.2017.06.033 (2017).
    • (2017) Remote Sens. Environ. , vol.198 , pp. 490-503
    • Massey, R.1
  • 48
    • 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, 1-13, https://doi.org/10.1016/j.rse.2013.08.023 (2014).
    • (2014) Remote Sens. Environ. , vol.140 , pp. 1-13
    • Zhong, L.1    Gong, P.2    Biging, G.S.3
  • 49
    • 85010281688 scopus 로고    scopus 로고
    • Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?
    • Zhang, Y., Song, C., Band, L. E., Sun, G. & Li, J. Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening? Remote Sens. Environ. 191, 145-155, https://doi.org/10.1016/j.rse.2016.12.018 (2017).
    • (2017) Remote Sens. Environ. , vol.191 , pp. 145-155
    • Zhang, Y.1    Song, C.2    Band, L.E.3    Sun, G.4    Li, J.5
  • 50
    • 85048118485 scopus 로고    scopus 로고
    • MODIS Land Quality Assessment, https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA-WWW/newPage.cgi (2017).
    • (2017) MODIS Land Quality Assessment
  • 51
    • 84959145150 scopus 로고    scopus 로고
    • The application of genomics and bioinformatics to accelerate crop improvement in a changing climate
    • Batley, J. & Edwards, D. The application of genomics and bioinformatics to accelerate crop improvement in a changing climate. Current Opinion in Plant Biology 30, 78-81, https://doi.org/10.1016/j.pbi.2016.02.002 (2016).
    • (2016) Current Opinion in Plant Biology , vol.30 , pp. 78-81
    • Batley, J.1    Edwards, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.