Abstract
Monitoring tillage practices is important for explaining soil quality and yield trends, and their impact on environmental quality. However, a common problem in sustainable residue management is scarcity of accurate residue maps. Because predictive insights on soil quality dynamics across a spatial domain are vital, this entry explicates on a new remote sensing-based technique for assessing surface residue cover. Here, an empirical model for mapping surface residue cover was created by integrating line-transect % residue cover field measurements with information gleaned from ground spectroradiometers and Advanced Wide-Field Sensor (AWiFS) satellite imagery. This map was validated using non-photosynthetic vegetation (NPV) fractional component extracted by spectral mixture analysis (SMA). SMA extracts fractional components of sensed signals in imagery, which within agricultural fields are NPV, green vegetation, bare soil, and shade. A stepwise linear regression between residue estimates by line transect and map generated using satellite imagery had R2 = 87%. Upon map categorization according to surface residue for a single AWiFS imagery encompassing an area of 836,868 ha, but focused on corn (Zea mays) fields within South Dakota, revealed that <4% of these corn fields had >15% surface residue cover left in the field by November 2009. Findings such as these may guide policy on soil quality, which is directly correlated with residue management. In the future, the spatial distribution of surface residues remaining after harvest in field planted with other crops and other seasons will be mapped. Besides, the efficacy of integrating hyperspectral sensor data to enhance accuracy will be investigated.
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References
Alan KK, Seastedt TR (1986) Detritus accumulation limits productivity of tallgrass prairie. BioScience 36:662–668
Arvidson T, Gasch J, Goward S (2001) Landsat 7’s long-term acquisition plan—an innovative approach to building a global imagery archive. Remote Sens Environ 78:13–26. https://doi.org/10.1016/S0034-4257(01)00263-2
Bannari A, Pacheco A, Staenz K, McNairn H, Omari K (2006) Estimating and mapping crop residues cover on agricultural lands using hyperspectral and IKONOS data. Remote Sens Environ 104:447–459. https://doi.org/10.1016/j.rse.2006.05.018
Barnes EM et al. (2003) Remote- and ground-based sensor techniques to map soil properties photogrammetric. Eng Remote Sens 69:619–630. https://doi.org/10.14358/PERS.69.6.619
Biard F, Baret F (1997) Crop residue estimation using multiband reflectance. Remote Sens Environ 59:530–536. https://doi.org/10.1016/S0034-4257(96)00125-3
Blanco-Canqui H, Lal R (2009) Corn stover removal for expanded uses reduces soil fertility and structural stability. Soil Sci Soc Am J 73:418–426. https://doi.org/10.2136/sssaj2008.0141
Blanco-Canqui H, Lal R, Post WM, Owens LB (2006) Changes in long-term no-till corn growth and yield under different rates of stover mulch. Agron J 98:1128–1136. https://doi.org/10.2134/agronj2006.0005
CTIC (2004) National crop residue management survey. Conservation Technology Information Center (CTIC), West Lafayette. https://www.ctic.org/resource_display/?id=322. (Accessed 1 May 2020)
Daughtry CST, Hunt ER (2008) Mitigating the effects of soil and residue water contents on remotely sensed estimates of crop residue cover. Remote Sens Environ 112:1647–1657. https://doi.org/10.1016/j.rse.2007.08.006
Daughtry CST, Hunt ER, Doraiswamy PC, McMurtrey JE, Russ AL (2003) Remote sensing of crop residue cover and soil tillage intensity. In: Geoscience and Remote Sensing Symposium, 2003. IGARSS. ′03 Proceedings. IEEE International, vol 4, pp 2192–2194. https://doi.org/10.1109/IGARSS.2003.1294385
Daughtry CST, Hunt ER, McMurtrey JE (2004) Assessing crop residue cover using shortwave infrared reflectance. Remote Sens Environ 90:126–134. https://doi.org/10.1016/j.rse.2003.10.023
Daughtry C, Hunt ER, Doraiswamy PC, McMurtrey JE (2005) Remote sensing the spatial distribution of crop residue. Agron J 97. https://doi.org/10.2134/agronj2003.0291
Daughtry CST, Doraiswamy PC, Hunt ER, Stern AJ, McMurtrey JE, Prueger JH (2006) Remote sensing of crop residue cover and soil tillage intensity. Soil Tillage Res 91:101–108. https://doi.org/10.1016/j.still.2005.11.013
Daughtry CST, Serbin G, Reeves JB, Doraiswamy PC, Hunt ER (2010) Spectral reflectance of wheat residue during decomposition and remotely sensed estimates of residue cover. Remote Sens 2:416–431
Davidson EA, Janssens IA (2006) Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440:165–173. https://doi.org/10.1038/nature04514
Davidson EA et al. (2002) Belowground carbon allocation in forests estimated from litterfall and IRGA-based soil respiration measurements. Agric For Meteorol 113:39–51. https://doi.org/10.1016/s0168-1923(02)00101-6
Dennison PE, Roberts DA(2003) The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sens Environ 87:295–309. https://doi.org/10.1016/j.rse.2003.07.001
Evans RA, Young JA (1970) Plant litter and establishment of alien annual weed species in rangeland communities. Weed Sci 18:697–703. https://doi.org/10.1017/S0043174500034573
Fan W, Hu B, Miller J, Li M (2009) Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data. Int J Remote Sens 30:2951–2962. https://doi.org/10.1080/01431160802558659
Fargione J, Hill J, Tilman D, Polasky S, Hawthorne P (2008) Land clearing and the biofuel carbon debt. Science (New York, NY) 319:1235–1238. https://doi.org/10.1126/science.1152747
Garnier P, Néel C, Aita C, Recous S, Lafolie F, Mary B (2003) Modelling carbon and nitrogen dynamics in a bare soil with and without straw incorporation. Eur J Soil Sci 54:555–568. https://doi.org/10.1046/j.1365-2389.2003.00499.x
Gelder BK, Kaleita AL, Cruse RM (2009) Estimating mean field residue cover on midwestern soils using satellite imagery. Agro J 101:635–643. https://doi.org/10.2134/agronj2007.0249
Graham RL, Nelson R, Sheehan J, Perlack RD, Wright LL (2007) Current and potential U.S. corn stover supplies. Agron J 99(1):1–11. https://doi.org/10.2134/agronj2005.0222
Holland EA, Coleman DC (1987) Litter placement effects on microbial and organic matter dynamics in an agroecosystem. Ecology 68:425–433. https://doi.org/10.2307/1939274
Huete AR (1986) Separation of soil–plant spectral mixtures by factor analysis. Remote Sens Environ 19:237–251. https://doi.org/10.1016/0034-4257(86)90055-6
Johnson DM (2008) A comparison of coincident Landsat-5 TM and Resourcesat-1 AWiFS imagery for classifying croplands. Photogrammetric Eng Remote Sens 74:1413–1423. https://doi.org/10.14358/PERS.74.11.1413
Ju J, Roy DP (2008) The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally. Remote Sens Environ 112:1196–1211. https://doi.org/10.1016/j.rse.2007.08.011
Madden NM, Southard R, Mitchell J (2008) Conservation tillage reduces PM10 emissions in dairy forage rotations. Atmos Environ 42:3795–3808. https://doi.org/10.1016/j.atmosenv.2007.12.058
Masek J et al. (2006) A Landsat surface reflectance data set for North America, 1990–2000 geoscience and remote sensing letters. IEEE 3:68–72. https://doi.org/10.1109/LGRS.2005.857030
McMurtrey JE, Chappelle EW, Daughtry CST, Kim MS (1993) Fluorescence and reflectance of crop residue and soil. J Soil Water Conserv 48:207–213
McNairn H, Protz R (1993) Mapping corn residue cover on agricultural fields in Oxford County, Ontario, using thematic mapper. Can J Remote Sens 19:152–159. https://doi.org/10.1080/07038992.1993.10874543
Obade VP, Clay DE, Carlson CG, Dalsted K, Wylie B, Ren C, Clay SA (eds) (2011) Estimating nonharvested crop residue cover dynamics using remote sensing. In: Progress in Biomass and Bioenergy production, vol 17. InTech
Pacheco A, McNairn H (2010) Evaluating multispectral remote sensing and spectral unmixing analysis for crop residue mapping. Remote Sens Environ 114:2219–2228. https://doi.org/10.1016/j.rse.2010.04.024
Ray TW, Murray BC (1996) Nonlinear spectral mixing in desert vegetation. Remote Sens Environ 55:59–64. https://doi.org/10.1016/0034-4257(95)00171-9
Roberts DA, Smith MO, Adams JB (1993) Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sens Environ 44:255–269. https://doi.org/10.1016/0034-4257(93)90020-X
Robertson GP, Paul EA, Harwood RR (2000) Greenhouse gases in intensive agriculture: contributions of individual gases to the radiative forcing of the atmosphere. Science (New York, NY) 289:1922–1925. https://doi.org/10.1126/science.289.5486.1922
Schaaf CB et al. (2002) First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sens Environ 83:135–148. https://doi.org/10.1016/S0034-4257(02)00091-3
Scharlemann JP, Laurance WF (2008) Environmental science. How green are biofuels? Science (New York, NY) 319:43–44. https://doi.org/10.1126/science.1153103
Searchinger T et al. (2008) Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change. Science (New York, NY) 319:1238–1240. https://doi.org/10.1126/science.1151861
Serbin G, Daughtry CST, Hunt ERJr, Brown DJ, McCarty GW(2009) Effect of soil spectral properties on remote sensing of crop residue cover. Soil Sci Soc Am J 73:1545–1558. https://doi.org/10.2136/sssaj2008.0311
Serbin G, Daughtry CST, Hunt ER, Reeves JB, Brown DJ (2009b) Effects of soil composition and mineralogy on remote sensing of crop residue cover. Remote Sens Environ 113:224–238. https://doi.org/10.1016/j.rse.2008.09.004
Smith MO, Johnson PE, Adams JB (1985) Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis. J Geophys Res Solid Earth 90:C797–C804. https://doi.org/10.1029/JB090iS02p0C797
Smith MO, Ustin SL, Adams JB, Gillespie AR (1990) Vegetation in deserts: II. Environmental influences on regional abundance. Remote Sens Environ 31:27–52. https://doi.org/10.1016/0034-4257(90)90075-W
South S, Qi J, Lusch D (2004) Optimal classification methods for mapping agricultural tillage practices. Remote Sens Environ 91:90–97. https://doi.org/10.1016/j.rse.2004.03.001
Thoma DP, Gupta SC, Bauer ME (2004) Evaluation of optical remote sensing models for crop residue cover assessment. J Soil Water Conserv 59:224–233
Toivonen T, Kalliola R, Ruokolainen K, Malik R (2006) Across-path DN gradient in Landsat TM imagery of Amazonian forests: A challenge for image interpretation and mosaicking. Remote Sens Environ 100:550–562. https://doi.org/10.1016/j.rse.2005.11.006
Tompkins S, Mustard JF, Pieters CM, Forsyth DW (1997) Optimization of endmembers for spectral mixture analysis. Remote Sens Environ 59:472–489. https://doi.org/10.1016/S0034-4257(96)00122-8
Upadhyaya SD, Lanças K, Santos-Filho A, Raghuwanshi N (2001) One-pass tillage equipment outstrips conventional tillage method California. Agriculture 55:44–47. https://doi.org/10.3733/ca.v055n05p44
Uri ND, Atwood JD, Sanabria J (1999) The Environmental benefits and costs of conservation tillage. Environ Geol 38:111–125. https://doi.org/10.1007/s002540050407
USGS (2019) 10- to 30-meter multispectral and hyperspectral data from the Earth Observing-1 (EO-1) Extended Mission. (2000–2017) https://www.usgs.gov/centers/eros/science/usgs-eros-archive-earth-observing-one-eo-1-hyperion?qt-science_center_objects=0#qt-science_center_objects
Van der Meer F, De Jong SM (2000) Improving the results of spectral unmixing of Landsat Thematic Mapper imagery by enhancing the orthogonality of end-members. Int J Remote Sens 21:2781–2797. https://doi.org/10.1080/01431160050121249
van Leeuwen WJD, Huete AR, Laing TW (1999) MODIS vegetation index compositing approach: a prototype with AVHRR Data. Remote Sens Environ 69:264–280. https://doi.org/10.1016/S0034-4257(99)00022-X
Vina A, Peters AJ, Ji L (2003) Use of multispectral Ikonos imagery for discriminating between conventional and conservation agricultural tillage practices. Photogrammetric Eng Remote Sens 69:537–544. https://doi.org/10.14358/PERS.69.5.537
Wollenhaupt NC, Pingry J (1993) Estimating residue using the line-transect method. http://corn.agronomy.wisc.edu/Management/pdfs/A3533.pdf
Wulder M et al. (2008) Landsat continuity: issues and opportunities for land cover monitoring. Remote Sens Environ 112:955–969. https://doi.org/10.1016/j.rse.2007.07.004
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Obade, V.d.P., Gaya, C. Mapping Tillage Practices Using Spatial Information Techniques. Environmental Management 66, 722–731 (2020). https://doi.org/10.1007/s00267-020-01335-z
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DOI: https://doi.org/10.1007/s00267-020-01335-z