Angers, D. A. and Carter, M. R.: Aggregation and organic matter storage in cool, humid agricultural soils, in: Structure and Organic Matter Storage in Agricultural Soils, edited by: Carter, M. R. and Stewart, B. A., CRC Press, Boca Raton, 193–211, 1996.
Bartholomeus, H. M., Schaepman, M. E., Kooistra, L., Stevens, A., Hoogmoed, W. B., and Spaargaren, O. S. P.: Spectral reflectance based indices for soil organic carbon quantification, Geoderma, 145, 28–36, https://doi.org/10.1016/j.geoderma.2008.01.010, 2008.
Batjes, N. H.: Total carbon and nitrogen in the soils of the world, European J. Soil Sci., 47, 151–163, https://doi.org/10.1111/j.1365-2389.1996.tb01386.x, 1996.
Beaudette, D. E. and O'Geen, A. T.: Quantifying the aspect affect: an application of solar radiation modeling for soil survey, Soil Sci. Soc. Am. J., 73, 1345–1352, 2009.
Bowman, R. A., Reeder, J. D., and Wienhold, B. J.: Quantifying laboratory and field variability to assess potential for carbon sequestration, Commun. Soil Sci. Plan., 33, 1629–1642, https://doi.org/10.1081/CSS-120004304, 2002.
Brenning, A., Koszinski, S., and Sommer, M.: Geostatistical homogenization of soil conductivity across field boundaries, Geoderma, 143, 254–260, https://doi.org/10.1016/j.geoderma.2007.11.007, 2008.
Bui, E. N., Henderson, B. L., and Viergever, K.: Knowledge discovery from models of soil properties developed through data mining, Ecol. Model., 191, 431–446, https://doi.org/10.1016/j.ecolmodel.2005.05.021, 2006.
Bushnell, T. M.: Some aspects of the soil catena concept, Soil Sci. Soc. Proc., 7, 466–476, 1943.
Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F., and Konopka, A. E.: Field-scale variability of soil properties in central Iowa soils, Soil Sci. Soc. Am., 58, 1501–1511, https://doi.org/10.2136/sssaj1994.03615995005800050033x, 1994.
Carlson, T. N., Gilles, R. R., and Perry, E. M.: A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover, Remote Sensing Reviews, 9, 161–173, https://doi.org/10.1080/02757259409532220, 1994.
Churchill, R. R.: Aspect-related differences in badlands slope morphology, Ann. Assoc. Am. Geogr., 71, 374–388, https://doi.org/10.1111/j.1467-8306.1981.tb01363.x, 1981.
Cuff, J. R. I.: Quantifying erosion-causing parameters in a New Zealand watershed, in: Soil Conservation, edited by: El-Swaify, S. A., Moldenhauer, W. C., and Lo, A., Soil Conservation Society of America, Ankeny, 99–112, 1985.
Daughtry, C. S. T.: Discriminating crop residues from soil by shortwave infrared reflectance, Agronomy J., 93, 125–131, https://doi.org/10.2134/agronj2001.931125x, 2001.
Day, A. D. and Intalap, S.: Some effects of soil moisture stress on the growth of wheat (
Triticum aestivum L. em Thell), Agronomy J., 62, 27–29, https://doi.org/10.2134/agronj1970.00021962006200010009x, 1970.
European Commission: European Soil Database v2, European Soil Data Centre, available at: http://eusoils.jrc.ec.europa.eu, last access: 7 October 2014.
Frazier, B. E. and Lee, G. B.: Characteristics and classification of three Wisconsin Histosols, Soil Sci. Soc. Am. J., 35, 776–780, https://doi.org/10.2136/sssaj1971.03615995003500050040x, 1971.
Gates, F. C.: The bogs of northern lower Michigan, Ecol. Monogr., 12, 216–254, https://doi.org/10.2307/1943542, 1942.
GLCF: Global Land Cover Facility, University of Maryland, available at: http://glcf.umd.edu/data, last access: 19 February 2014.
Goidts, E., Van Wesemael, B., and Crucifix, M.: Magnitude and sources of uncertainties in soil organic carbon (SOC) stock assessments at various scales, Eur. J. Soil Sci., 60, 723–739, https://doi.org/10.1111/j.1365-2389.2009.01157.x, 2009.
Gomez, C., Viscarra Rossel, R. A., and McBratney, A. B.: Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study, Geoderma, 146, 403–411, https://doi.org/10.1016/j.geoderma.2008.06.011, 2008.
Goodman, L. A.: On the exact variance of products, J. Am. Stat. Assoc., 55, 708–713, 1960.
Grace, J.: Understanding and managing the global carbon cycle, J. Ecology, 92, 189–202, https://doi.org/10.1111/j.0022-0477.2004.00874.x, 2004.
Grimm, R., Behrens, T., Märker, M., and Elsenbeer, H.: Soil organic carbon concentrations and stocks on Barro Colorado Island – digital soil mapping using random forests analysis, Geoderma, 146, 102–113, https://doi.org/10.1016/j.geoderma.2008.05.008, 2008.
Hatfield, J. L., Gitelson, A. A., Schepers, J. S., and Walthall, C. L.: Application of spectral remote sensing for agronomic decisions, Agronomy J., 100, S117–S131, https://doi.org/10.2134/agronj2006.0370c, 2008.
Heilman, J. L., Kanemasu, E. T., Rosenberg, N. J., and Blad, B. L.: Thermal scanner measurement of canopy temperatures to estimate evapotranspiration, Remote Sens. Environ., 5, 137–145, https://doi.org/10.1016/0034-4257(76)90044-4, 1976.
Holmes, G., Hall, M., and Frank, E.: Generating rule sets from model trees, Advanced Topics in Artificial Intelligence, Lecture Notes Comput. Sc., 1747, 1–12, https://doi.org/10.1007/3-540-46695-9_1, 1999.
Huete, A. R.: A soil-adjusted vegetation index (SAVI), Remote Sens. Environ., 25, 295–309, https://doi.org/10.1016/0034-4257(88)90106-X, 1988.
Huggett, R. J.: Soil landscape systems: a model of soil genesis, Geoderma, 13, 1–22, https://doi.org/10.1016/0016-7061(75)90035-X, 1975.
Hunckler, R. V. and Schaetzl, R. J.: Spodosol development as affected by geomorphic aspect, Baraga County, Michigan, Soil Sci. Soc. Am. J., 61, 1105–1115, https://doi.org/10.2136/sssaj1997.03615995006100040017x, 1997.
Jobbágy, E. G. and Jackson, R. B.: The vertical distribution of soil organic carbon and its relation to climate and vegetation, Ecol. Appl., 10, 423–436, https://doi.org/10.1890/1051-0761(2000)010[0423:TVDOSO]2.0.CO;2, 2000.
Johnson, D. L., Keller, E. A., and Rockwell, T. K.: Dynamic pedogenesis: new views on some key concepts, and a model for interpreting quaternary soils, Quaternary Res., 33, 306–319, https://doi.org/10.1016/0033-5894(90)90058-S, 1990.
Johnston, A. E., Poulton, P. R., and Coleman, K.: Soil organic matter: its importance in sustainable agriculture and carbon dioxide fluxes, Adv. Agronomy, 101, 1–57, https://doi.org/10.1016/S0065-2113(08)00801-8, 2009.
Johnston, C. A., Groffman, P., Breshears, D. D., Cardon, Z. G., Currie, W., Emanuel, W., Gaudinski, J., Jackson, R. B., Lajtha, K., Nadelhoffer, K., Nelson Jr., D., Mac Post, W., Retallack, G., and Wielopolski, L.: Carbon cycling in soil, Front. Ecol. Environ., 2, 522–528, https://doi.org/10.2307/3868382, 2004.
Kay, B. D.: Soil structure and organic carbon: a review, in: Soil Processes and the Carbon Cycle, edited by: Lal, R., Kimble, J. M., Follett, R. F., and Stewart, B. A., CRC Press, Boca Raton, 169–197, 1998.
Kempen, B., Brus, D. J., and Stoorvogel, J. J.: Three-dimensional mapping of soil organic matter content using soil type-specific depth functions, Geoderma, 162, 107–123, https://doi.org/10.1016/j.geoderma.2011.01.010, 2011.
Kennedy, B. A.: Valley-side slopes and climate, in: Geomorphology and Climate, edited by: Derbyshire, E., John Wiley, London, 171–201, 1976.
Khalil, M. I., Kiely, G., O'Brien, P., and Müller, C.: Organic carbon stocks in agricultural soils in Ireland using combined empirical and GIS approaches, Geoderma, 193–195, 222–235, https://doi.org/10.1016/j.geoderma.2012.10.005, 2013.
Königlich Preußische Geologische Landesanstalt: Geologische Karte von Preußen und benachbarten Bundesstaten, 1:25,000 (Geological Map of Prussia and adjacent Federal States, 1:25,000), Landesamt f. Geologie und Bergwesen, Halle, Sachsen-Anhalt, Germany, Sheet Wulfen 4137, 1913a.
Königlich Preußische Geologische Landesanstalt: Geologische Karte von Preußen und benachbarten Bundesstaten, 1:25,000 (Geological Map of Prussia and adjacent Federal States, 1:25,000), Landesamt f. Geologie und Bergwesen, Halle, Sachsen-Anhalt, Germany, Sheet Cöthen 4237, 1913b.
Krause, H. H., Rieger, S., and Wilde, S. A.: Soils and forest growth on different aspects in the Tanana watershed of interior Alaska, Ecology, 40, 492–495, https://doi.org/10.2307/1929773, 1959.
Kravchenko, A. N., Robertson, G. P., Hao, X., and Bullock, D. G.: Management practice effects on surface total carbon: differences in spatial variability patterns, Agronomy J., 98, 1559–1568, https://doi.org/10.2134/agronj2006.0066, 2006a.
Kravchenko, A. N., Robertson, G. P., Snap, S. S., and Smucker, A. J. M.: Using information about spatial variability to improve estimates of total soil carbon, Agronomy J., 98, 823–829, https://doi.org/10.2134/agronj2005.0305, 2006b.
Ku, H. H.: Notes on the use of propagation of error formulas, Journal of Research of the National Bureau of Standards – C. Engineering and Instrumentation, 70C, 263–273, 1966.
Kühn, J., Brenning, A., Wehrhan, M., Koszinski, S., and Sommer, M.: Interpretation of electrical conductivity patterns by soil properties and geological maps for precision agriculture, Precis. Agric., 10, 490–507, https://doi.org/10.1007/s11119-008-9103-z, 2009.
Lal, R.: Soil carbon sequestration impacts on global climate change and food security, Science, 304, 1623–1627, https://doi.org/10.1126/science.1097396, 2004.
Lacoste, M., Minasny, B., McBratney, A., Michot, D., Viaud, V., and Walter, C.: High resolution 3D mapping of soil organic carbon in a heterogeneous agricultural landscape, Geoderma, 213, 296–311, https://doi.org/10.1016/j.geoderma.2013.07.002, 2014.
Lemercier, B., Lacoste, M., Loum, M., and Walter, C.: Extrapolation at regional scale of local soil knowledge using boosted classification trees: a two-step approach, Geoderma, 171–172, 75–84, https://doi.org/10.1016/j.geoderma.2011.03.010, 2012.
Li, Z. L., Tang, R., Wan, Z., Bi, Y., Zhou, C., Tang, B., Yan, G., and Zhang, X.: A review of current methodologies for regional evapotranspiration estimation from remotely sensed data, Sensors, 9, 3801–3853, https://doi.org/10.3390/s90503801, 2009.
Liebens, J. and VanMolle, M.: Influence of estimation procedure on soil organic carbon stock assessment in Flanders, Belgium, Soil Use Manage., 19, 364–371, https://doi.org/10.1111/j.1475-2743.2003.tb00327.x, 2003.
Lobell, D. B. and Asner, G. P.: Moisture effects on soil reflectance, Soil Sci. Soc. Am. J., 66, 722–727, https://doi.org/10.2136/sssaj2002.7220, 2002.
Lowther, J. R., Smethurst, P. J., Carlyle, J. C., and Nambiar, E. K. S.: Methods for determining organic carbon in podzolic sands, Commun. Soil Sci. Plan., 21, 457–470, https://doi.org/10.1080/00103629009368245, 1990.
Lufafa, A., Diédhiou, I., Samba, S. A. N., Séné, M., Khouma, M., Kizito, F., Dick, R. P., Dossa, E., and Noller, J. S.: Carbon stocks and patterns in native shrub communities of Senegal's Peanut Basin, Geoderma, 146, 75–82, https://doi.org/10.1016/j.geoderma.2008.05.024, 2008.
Malone, B. P., McBratney, A. B., and Minasny, B.: Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes, Geoderma, 160, 614–626, https://doi.org/10.1016/j.geoderma.2010.11.013, 2011.
Mardia, K. V., Kent, J. T., and Bibby, J. M.: Multivariate Analysis, Academic Press, London, United Kingdom, 521 pp., 1979.
Martin, M. P., Orton, T. G., Lacarce, E., Meersmans, J., Saby, N. P. A., Paroissien, J. B., Jolivet, C., Boulonne, L., and Arrouays, D.: Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale, Geoderma, 223–225, 97–107, https://doi.org/10.1016/j.geoderma.2014.01.005, 2014.
Martin, M. P., Wattenbach, M., Smith, P., Meersmans, J., Jolivet, C., Boulonne, L., and Arrouays, D.: Spatial distribution of soil organic carbon stocks in France, Biogeosciences, 8, 1053–1065, https://doi.org/10.5194/bg-8-1053-2011, 2011.
McBratney, A. B. and Pringle, M. J.: Estimating average and proportional variograms of soil properties and their potential use in precision agriculture, Precis. Agric., 1, 125–152, https://doi.org/10.1023/A:1009995404447, 1999.
McDonald, E. V. and Busacca, A. J.: Record of pre-late Wisconsin giant floods in the Channeled Scabland interpreted from loess deposits, Geology, 16, 728–731, https://doi.org/10.1130/0091-7613(1988)016<0728:ROPLWG>2.3.CO;2, 1988.
Meersmans, J., Van Wesemael, B., De Ridder, F., Fallas Dotti, M., De Baets, S., and Van Molle, M.: Changes in organic carbon distribution with depth in agricultural soils in northern Belgium, 1960–2006, Global Change Biol., 15, 2739–2750, https://doi.org/10.1111/j.1365-2486.2009.01855.x, 2009.
Migdall, S., Bach, H., Bobert, J., Wehrhan, M., and Mauser, W.: Inversion of a canopy reflectance model using hyperspectral imagery for monitoring wheat growth and estimating yield, Precis. Agric., 10, 508–524, https://doi.org/10.1007/s11119-009-9104-6, 2009.
Minasny, B. and McBratney, A. B.: Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy, Chemometr. Intell. Lab., 94, 72–79, https://doi.org/10.1016/j.chemolab.2008.06.003, 2008.
Minasny, B., McBratney, A. B., Malone, B. P., and Wheeler, I.: Digital mapping of soil carbon, Adv. Agron., 118, 1–47, https://doi.org/10.1016/B978-0-12-405942-9.00001-3, 2013.
Mishra, U., Lal, R., Liu, D., and Van Meirvenne, M.: Predicting the spatial variation of the soil organic carbon pool at a regional scale, Soil Sci. Soc. Am. J., 74, 906–914, https://doi.org/10.2136/sssaj2009.0158, 2010.
Moore, I. D., Grayson, R. B., and Ladson, A. R.: Digital terrain modelling: a review of hydrological, geomorphological, and biological applications, Hydrol. Process., 5, 3–30, https://doi.org/10.1002/hyp.3360050103, 1991.
Mulder, V. L., de Bruin, S., Schaepman, M. E., and Mayr, T. R.: The use of remote sensing in soil and terrain mapping – a review, Geoderma, 162, 1–19, https://doi.org/10.1016/j.geoderma.2010.12.018, 2011.
Myneni, R. B., Hall, F. G., Sellers, P. J., and Marshak, A. L.: The interpretation of spectral vegetation indexes, IEEE T. Geosci. Remote Sens., 33, 481–486, https://doi.org/10.1109/36.377948, 1995.
Neemann, W.: Bestimmung des Bodenerodierbarkeitsfaktors für winderosionsgefährdete Böden Norddeutschlands (Determination of soil erodibility factors for wind-erosion endangered soils in Northern Germany), Geologisches Jahrbuch Reihe F, 25, 131 pp., 1991.
Nyssen, J., Temesgen, H., Lemenih, M., Zenebe, A., Haregeweyn, N., and Haile, M.: Spatial and temporal variation of soil organic carbon stocks in a lake retreat area of the Ethiopian Rift Valley, Geoderma, 146, 261–268, https://doi.org/10.1016/j.geoderma.2008.06.007, 2008.
Orton, T. G., Pringle, M. J., Page, K. L., Dalal, R. C., and Bishop, T. F. A.: Spatial prediction of soil organic carbon stock using a linear model of coregionalisation, Geoderma, 230–231, 119–130, https://doi.org/10.1016/j.geoderma.2014.04.016, 2014.
Panda, D. K., Singh, R., Kundu, D. K., Chakraborty, H., and Kumar, A.: Improved estimation of soil organic carbon storage uncertainty using first-order Taylor series approximation, Soil Sci. Soc. Am. J., 72, 1708–1710, https://doi.org/10.2136/sssaj2007.0242N, 2008.
Pennock, D. J. and De Jong, E.: The influence of slope curvature on soil erosion and deposition in hummock terrain, Soil Sci., 144, 209–217, https://doi.org/10.1097/00010694-198709000-00007, 1987.
Petropoulus, G., Carlson, T. N., Wooster, M. J., and Islam, S.: A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture, Prog. Phys. Geogr., 33, 224–250, https://doi.org/10.1177/0309133309338997, 2009.
Phachomphon, K., Dlamini, P., and Chaplot, V.: Estimating carbon stocks at a regional level using soil information and easily accessible auxiliary variables, Geoderma, 155, 372–380, https://doi.org/10.1016/j.geoderma.2009.12.020, 2010.
Phillips, J. D.: On the relations between complex systems and the factorial model of soil formation (with discussion), Geoderma, 86, 1–21, https://doi.org/10.1016/S0016-7061(98)00054-8, 1998.
Powlson, D. S., Whitmore, A. P., and Goulding, K. W. T.: Soil carbon sequestration to mitigate climate change: a critical re-examination to identify the true and the false, Eur. J. Soil Sci., 62, 42–55, https://doi.org/10.1111/j.1365-2389.2010.01342.x, 2011.
Quinlan, J. R.: Learning with continuous classes, Proceedings of the 5th Australian Joint Conference on Artificial Intelligence, 343–348, 1992.
Quinlan, J. R.: Combining instance-based and model-based learning, in: Proceedings of the Tenth International Conference on Machine Learning, edited by: Kaufmann, M., 236–243, 1993.
Quinlan, J. R.: C4.5: Programs for machine learning, Mach. Learn., 16, 235–240, 1994.
Rasmussen, M. S.: Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information: Part I. Assessment of net primary production, Int. J. Remote Sens., 19, 97–117, https://doi.org/10.1080/014311698216459, 1998.
Rawls, W. J., Pachepsky, Y. A., Ritchie, J. C., Sobecki, T. M., and Bloodworth, H.: Effect of soil organic carbon on soil water retention, Geoderma, 116, 61–76, https://doi.org/10.1016/S0016-7061(03)00094-6, 2003.
Richards, J. A.: Remote Sensing Digital Image Analysis, Springer, 439 pp., 2006.
Schaetzl, R. J.: Complete soil profile inversion by tree uprooting, Physical Geogr., 7, 181–189, https://doi.org/10.1080/02723646.1986.10642290, 1986.
Schaetzl, R. J.: Effects of treethrow microtopography on the characteristics and genesis of Spodosols, Michigan, USA, Catena, 17, 111–126, https://doi.org/10.1016/0341-8162(90)90002-U, 1990.
Schrumpf, M., Schulze, E. D., Kaiser, K., and Schumacher, J.: How accurately can soil organic carbon stocks and stock changes be quantified by soil inventories?, Biogeosciences, 8, 1193–1212, https://doi.org/10.5194/bg-8-1193-2011, 2011.
Schwartz, D. and Namri, M.: Mapping the total organic carbon in the soils of the Congo, Global Planet. Change, 33, 77–93, https://doi.org/10.1016/S0921-8181(02)00063-2, 2002.
Selige, S., Böhner, J., and Schmidhalter, U.: High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures, Geoderma, 136, 235–244, https://doi.org/10.1016/j.geoderma.2006.03.050, 2006.
Simbahan, G. C., Dobermann, A., Goovaerts, P., Ping, J., and Haddix, L.: Fine-resolution mapping of soil organic carbon based on multivariate secondary data, Geoderma, 132, 471–489, https://doi.org/10.1016/j.geoderma.2005.07.001, 2006.
Snyder, V. A. and Vazquez, M. A.: Structure, in: Encyclopedia of Soils in the Environment, edited by: Hillel, D., Hatfield, J. L., Powlson, D. S., Rozenweig, C., Scow, K. M., Singer, M. J., and Sparks, D. L., Elsevier Academic Press, 54–68, 2005.
Shrestha, D. L. and Solomatine, D. P.: Machine learning approaches for estimation of prediction interval for the model output, Neural Networks, 19, 225–235, https://doi.org/10.1016/j.neunet.2006.01.012, 2006.
Sombroek, W. G., Fearnside, P. M., and Cravo, M.: Geographic assessment of carbon stored in Amazonian terrestrial ecosystems and their soils in particular, in: Global Climate Change and Tropical Ecosystems, edited by: Lal, R., Kimble, J. M., and Stewart, B. A., CRC Lewis, Boca Raton, 375–389, 2000.
Sommer, M., Halm, D., Weller, U., Zarei, M., and Stahr, K.: Lateral podzolization in a granite landscape, Soil Sci. Soc. Am. J., 64, 1434–1442, https://doi.org/10.2136/sssaj2000.6441434x, 2000.
Sommer, M., Gerke, H. H., and Deumlich, D.: Modelling soil landscape genesis – a "time split" approach for hummocky agricultural landscapes, Geoderma, 145, 480–493, https://doi.org/10.1016/j.geoderma.2008.01.012, 2008.
Soon, Y. K. and Abboud, S.: A comparison of some methods for soil organic carbon determination, Commun. Soil Sci. Plan., 22, 943–954, https://doi.org/10.1080/00103629109368465, 1991.
Stevens, A., Udelhoven, T., Denis, A., Tychon, B., Lioy, R., Hoffmann, L., and van Wesemael, B.: Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy, Geoderma, 158, 32–45, https://doi.org/10.1016/j.geoderma.2009.11.032, 2010.
Sutherland, R. A.: Loss-on-ignition estimates of organic matter and relationships to organic carbon in fluvial sediments, Hydrobiologia, 389, 153–167, https://doi.org/10.1023/A:1003570219018, 1998.
Taylor, J. R.: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2nd Edn., University Science Books, Sausalito, California, USA, 1997.
Ungaro, F., Staffilani, F., and Tarocco, P.: Assessing and mapping topsoil organic carbon stock at regional scale: a scorpan kriging approach conditional on soil map delineations and land use, Land Degrad. Dev., 21, 565–581, https://doi.org/10.1002/ldr.998, 2010.
USGS: Earth Explorer, US Geological Survey, available at: http://earthexplorer.usgs.gov, last access: 19 February 2014.
van Breda Weaver, A.: The distribution of soil erosion as a function of slope aspect and parent material in Ciskei, Southern Africa, GeoJournal, 23, 29–34, https://doi.org/10.1007/BF00204406, 1991.
Walter, C., Viscarra Rossel, R. A., and McBratney, A. B.: Spatio-temporal simulation of the field-scale evolution of organic carbon over the landscape, Soil Sci. Soc. Am. J., 67, 1477–1486, https://doi.org/10.2136/sssaj2003.1477, 2003.
Weisstein, E. W.: Error Propagation, Wolfram MathWorld, available at: http://mathworld.wolfram.com/ErrorPropagation.html, last access: 25 August 2014.
Wilhelm, W. W., Johnson, J. M. F., Hatfield, J. L., Voorhees, W. B., and Linden, D. R.: Crop and soil productivity response to corn residue removal: a literature review, Agronomy J., 96, 1–17, 2004.
Xie, Y., Sha, Z., and Yu, M.: Remote sensing imagery in vegetation mapping: a review, J. Plant Ecol., 1, 9–23, https://doi.org/10.1093/jpe/rtm005, 2008.
Zhang, Z., Yu, D., Shi, X., Warner, E., Ren, H., Sun, W., Tan, M., and Wang, H.: Application of categorical information in the spatial prediction of soil organic carbon in the red soil area of China, Soil Sci. Plant Nutr., 56, 307–318, https://doi.org/10.1111/j.1747-0765.2010.00457.x, 2010.
