메뉴 건너뛰기




Volumn 83, Issue , 2015, Pages 80-88

Using Google's cloud-based platform for digital soil mapping

Author keywords

Cloud computing; DSM; GlobalSoilMap; Google Earth Engine; Supercomputing

Indexed keywords

CLOUD COMPUTING; ENGINES; SOIL SURVEYS; SOILS; SUPERCOMPUTERS;

EID: 84937231034     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2015.06.023     Document Type: Article
Times cited : (81)

References (43)
  • 1
    • 84871621906 scopus 로고    scopus 로고
    • Development of gridded surface meteorological data for ecological applications and modelling
    • Abatzoglou J.T. Development of gridded surface meteorological data for ecological applications and modelling. Int. J. Climatol. 2013, 33(1):121-131.
    • (2013) Int. J. Climatol. , vol.33 , Issue.1 , pp. 121-131
    • Abatzoglou, J.T.1
  • 2
    • 84888204738 scopus 로고    scopus 로고
    • Constructing a soil class map of Denmark based on the FAO legend using digital techniques
    • Adhikari K., Minasny B., Greve M.B., Greve M.H. Constructing a soil class map of Denmark based on the FAO legend using digital techniques. Geoderma 2014, 214:101-113.
    • (2014) Geoderma , vol.214 , pp. 101-113
    • Adhikari, K.1    Minasny, B.2    Greve, M.B.3    Greve, M.H.4
  • 3
    • 0032846868 scopus 로고    scopus 로고
    • Modelling soil attribute depth functions with equal-area quadratic smoothing splines
    • Bishop T., McBratney A., Laslett G. Modelling soil attribute depth functions with equal-area quadratic smoothing splines. Geoderma 1999, 91(1):27-45.
    • (1999) Geoderma , vol.91 , Issue.1 , pp. 27-45
    • Bishop, T.1    McBratney, A.2    Laslett, G.3
  • 4
    • 0040528764 scopus 로고
    • Multinomial logistic regression algorithm
    • Böhning D. Multinomial logistic regression algorithm. Ann. Inst. Stat. Math. 1992, 44(1):197-200.
    • (1992) Ann. Inst. Stat. Math. , vol.44 , Issue.1 , pp. 197-200
    • Böhning, D.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Mach. Learn. 2001, 45(1):5-32.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0018921952 scopus 로고
    • Optimal interpolation and isarithmic mapping of soil properties. I. The semi-variogram and punctual kriging
    • Burgess T., Webster R. Optimal interpolation and isarithmic mapping of soil properties. I. The semi-variogram and punctual kriging. J. Soil Sci. 1980, 31(2):315-331.
    • (1980) J. Soil Sci. , vol.31 , Issue.2 , pp. 315-331
    • Burgess, T.1    Webster, R.2
  • 8
    • 0018921134 scopus 로고
    • Optimal interpolation and isarithmic mapping of soil properties: II. Block kriging
    • Burgess T., Webster R. Optimal interpolation and isarithmic mapping of soil properties: II. Block kriging. J. Soil Sci. 1980, 31(2):333-341.
    • (1980) J. Soil Sci. , vol.31 , Issue.2 , pp. 333-341
    • Burgess, T.1    Webster, R.2
  • 16
    • 0003263781 scopus 로고    scopus 로고
    • Techniques for development of global 1-kilometer digital elevation models
    • Sioux Falls, South Dakota.
    • Gesch, D.B., Larson, K., 1996. Techniques for development of global 1-kilometer digital elevation models. In: Proceedings of Pecora Thirteenth Symposium, Sioux Falls, South Dakota.
    • (1996) Proceedings of Pecora Thirteenth Symposium
    • Gesch, D.B.1    Larson, K.2
  • 20
    • 9644281522 scopus 로고    scopus 로고
    • Australia-wide predictions of soil properties using decision trees
    • Henderson B.L., Bui E.N., Moran C.J., Simon D. Australia-wide predictions of soil properties using decision trees. Geoderma 2005, 124(3):383-398.
    • (2005) Geoderma , vol.124 , Issue.3 , pp. 383-398
    • Henderson, B.L.1    Bui, E.N.2    Moran, C.J.3    Simon, D.4
  • 24
    • 70350620646 scopus 로고    scopus 로고
    • Hole-filled SRTM for the globe, Version 4.
    • Available from the CGIAR-CSI SRTM 90m Database.
    • Jarvis, A., Reuter, H. I., Nelson, A., Guevara, E., 2008. Hole-filled SRTM for the globe, Version 4. Available from the CGIAR-CSI SRTM 90m Database 〈〉. http://srtm.csi.cgiar.org.
    • (2008)
    • Jarvis, A.1    Reuter, H.I.2    Nelson, A.3    Guevara, E.4
  • 25
    • 84876302712 scopus 로고    scopus 로고
    • Relationships between palaeogeography and opal occurrence in Australia: a data-mining approach
    • Landgrebe T., Merdith A., Dutkiewicz A., Müller R. Relationships between palaeogeography and opal occurrence in Australia: a data-mining approach. Comput. Geosci. 2013, 56:76-82.
    • (2013) Comput. Geosci. , vol.56 , pp. 76-82
    • Landgrebe, T.1    Merdith, A.2    Dutkiewicz, A.3    Müller, R.4
  • 26
    • 42049104077 scopus 로고    scopus 로고
    • New global hydrography derived from spaceborne elevation data
    • Lehner B., Verdin K., Jarvis A. New global hydrography derived from spaceborne elevation data. EOS, Trans. Am. Geophys. Union 2008, 89(10):93-94.
    • (2008) EOS, Trans. Am. Geophys. Union , vol.89 , Issue.10 , pp. 93-94
    • Lehner, B.1    Verdin, K.2    Jarvis, A.3
  • 27
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm
    • Littlestone N. Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm. Mach. Learn. 1988, 2(4):285-318.
    • (1988) Mach. Learn. , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1
  • 30
    • 0028557530 scopus 로고
    • Spatial prediction of soil properties from landform attributes derived from a digital elevation model
    • Odeh I., McBratney A., Chittleborough D. Spatial prediction of soil properties from landform attributes derived from a digital elevation model. Geoderma 1994, 63(3):197-214.
    • (1994) Geoderma , vol.63 , Issue.3 , pp. 197-214
    • Odeh, I.1    McBratney, A.2    Chittleborough, D.3
  • 34
    • 11144273669 scopus 로고
    • The perceptron. a probabilistic model for information storage and organization in the brain
    • Rosenblatt F. The perceptron. a probabilistic model for information storage and organization in the brain. Psychol. Rev. 1958, 65(6):386.
    • (1958) Psychol. Rev. , vol.65 , Issue.6 , pp. 386
    • Rosenblatt, F.1
  • 36
    • 84857077710 scopus 로고    scopus 로고
    • Analysis and prediction of soil properties using local regression-kriging
    • Sun W., Minasny B., McBratney A. Analysis and prediction of soil properties using local regression-kriging. Geoderma 2012, 171:16-23.
    • (2012) Geoderma , vol.171 , pp. 16-23
    • Sun, W.1    Minasny, B.2    McBratney, A.3
  • 37
    • 78249281671 scopus 로고    scopus 로고
    • Estimating Pedotransfer function prediction limits using fuzzy k-means with extragrades
    • Tranter G., Minasny B., McBratney A. Estimating Pedotransfer function prediction limits using fuzzy k-means with extragrades. Soil Sci. Soc. Am. J. 2010, 74(6):1967-1975.
    • (2010) Soil Sci. Soc. Am. J. , vol.74 , Issue.6 , pp. 1967-1975
    • Tranter, G.1    Minasny, B.2    McBratney, A.3
  • 38
    • 84899099703 scopus 로고    scopus 로고
    • Privacy-preserving kriging interpolation on partitioned data
    • Tugrul B., Polat H. Privacy-preserving kriging interpolation on partitioned data. Knowl.-Based Syst. 2014, 62:38-46.
    • (2014) Knowl.-Based Syst. , vol.62 , pp. 38-46
    • Tugrul, B.1    Polat, H.2
  • 39
    • 84883371506 scopus 로고    scopus 로고
    • National soil information system
    • 01 August 2014.
    • USDA-NRCS, 2014. National soil information system. Online: 〈〉, 01 August 2014. http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/?cid=nrcs142p2_053552.
    • (2014)
  • 40
    • 0019150401 scopus 로고
    • Optimal interpolation and isarithmic mapping of soil properties: III. Changing drift and universal kriging
    • Webster R., Burgess T. Optimal interpolation and isarithmic mapping of soil properties: III. Changing drift and universal kriging. J. Soil Sci. 1980, 31(3):505-524.
    • (1980) J. Soil Sci. , vol.31 , Issue.3 , pp. 505-524
    • Webster, R.1    Burgess, T.2
  • 41
    • 84888053539 scopus 로고    scopus 로고
    • Systematic land cover bias in Collection 5 MODIS cloud mask and derived products-a global overview
    • Wilson A.M., Parmentier B., Jetz W. Systematic land cover bias in Collection 5 MODIS cloud mask and derived products-a global overview. Remote Sens. Environ. 2014, 141:149-154.
    • (2014) Remote Sens. Environ. , vol.141 , pp. 149-154
    • Wilson, A.M.1    Parmentier, B.2    Jetz, W.3
  • 42
    • 85057921393 scopus 로고    scopus 로고
    • Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow
    • Xia, Y., Mitchell, K., Ek, M., Cosgrove, B., Sheffield, J., Luo, L., Alonge, C., Wei, H., Meng, J., Livneh, B., et al., 2012a. Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow. J. Geophys. Res.: Atmos. (1984-2012) 117 (D3).
    • (2012) J. Geophys. Res.: Atmos (1984-2012) , vol.117 , Issue.D3
    • Xia, Y.1    Mitchell, K.2    Ek, M.3    Cosgrove, B.4    Sheffield, J.5    Luo, L.6    Alonge, C.7    Wei, H.8    Meng, J.9    Livneh, B.10
  • 43
    • 84856976659 scopus 로고    scopus 로고
    • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products
    • Xia, Y., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L., Alonge, C., Wei, H., Meng, J., et al., 2012b. Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. Geophys. Res.: Atmos. (1984-2012) 117 (D3).
    • (2012) J. Geophys. Res.: Atmos. (1984-2012) , vol.117 , Issue.D3
    • Xia, Y.1    Mitchell, K.2    Ek, M.3    Sheffield, J.4    Cosgrove, B.5    Wood, E.6    Luo, L.7    Alonge, C.8    Wei, H.9    Meng, J.10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.