Digital soil mapping using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran
Sign Up to like & getrecommendations! Published in 2017 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-017-6197-7
Abstract: Digital soil mapping has been introduced as a viable alternative to the traditional mapping methods due to being fast and cost-effective. The objective of the present study was to investigate the capability of the vegetation… read more here.
Keywords: vegetation features; digital soil; vegetation; soil mapping ... See more keywords
Hyper-temporal remote sensing data in bare soil period and terrain attributes for digital soil mapping in the Black soil regions of China
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DOI: 10.1016/j.catena.2019.104259
Abstract: Abstract Remote sensing image data are often used as input in digital soil mapping (DSM). However, it is difficult to distinguish and identify soil types with less difference in reflectance spectral characteristics, because a small… read more here.
Keywords: digital soil; hyper temporal; accuracy; remote sensing ... See more keywords
Regression kriging as a workhorse in the digital soil mapper's toolbox
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DOI: 10.1016/j.geoderma.2018.04.004
Abstract: Abstract Appropriate scale, justifiably reliable, categorical and continuous spatial soil information is urgently needed to address environmental problems and ensure sustainability of ecosystem services at local, regional and global scales. Regression Kriging (RK) is one… read more here.
Keywords: digital soil; regression; mapper toolbox; soil mapper ... See more keywords
Expert-based maps and highly detailed surface drainage models to support digital soil mapping
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DOI: 10.1016/j.geoderma.2020.114779
Abstract: Abstract Soil maps are an important tool for agricultural planning and land management. Digital techniques have been used to create soil maps. However, most studies did not explore drainage network (DN) information on prediction models,… read more here.
Keywords: digital soil; accuracy; drainage; soil mapping ... See more keywords
Digital soil mapping of coarse fragments in southwest Australia: Targeting simple features yields detailed maps
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DOI: 10.1016/j.geoderma.2021.115282
Abstract: Abstract The spatial distribution of soil coarse fragments (CF) is important for a variety of agricultural and environmental applications because it directly impacts soil processes including hydrology and nutrient cycling. However, there is often insufficient… read more here.
Keywords: coarse fragments; soil; soil mapping; digital soil ... See more keywords
Evaluating the impact of using digital soil mapping products as input for spatializing a crop model: The case of drainage and maize yield simulated by STICS in the Berambadi catchment (India)
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DOI: 10.1016/j.geoderma.2021.115503
Abstract: Abstract Digital Soil Mapping (DSM) can be an alternative data source for spatializing crop models over large areas. The objective of the paper was to evaluate the impact of DSM products and their uncertainties on… read more here.
Keywords: digital soil; soil parameters; crop model; soil ... See more keywords
Digital soil mapping across the globe
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DOI: 10.1016/j.geodrs.2017.03.002
Abstract: Abstract Digital soil mapping has largely expanded across the globe since the early 2000s. Numerous national, continental and global digital soil mapping products have been produced. In this paper, we review some major developments and… read more here.
Keywords: soil; digital soil; across globe; soil mapping ... See more keywords
The need for digital soil mapping in India
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DOI: 10.1016/j.geodrs.2019.e00204
Abstract: Abstract Soil is an important part of natural environment which should be nurtured and monitored regularly to maintain its fertility. Accurate and quantitative spatial soil information is necessary for dealing with burning global issues such… read more here.
Keywords: digital soil; soil; mapping india; need digital ... See more keywords
Could airborne gamma-spectrometric data replace lithological maps as co-variates for digital soil mapping of topsoil particle-size distribution? A case study in Western France
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DOI: 10.1016/j.geodrs.2020.e00295
Abstract: Abstract Parent material is a crucial co-variate in predicting soil properties using digital soil mapping (DSM) methods. This spatial information can be obtained using available lithology maps, or using proxies such as gamma-ray spectroscopic maps.… read more here.
Keywords: digital soil; spectroscopy; soil mapping; soil ... See more keywords
Digital soil mapping and assessment for Australia and beyond: A propitious future
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DOI: 10.1016/j.geodrs.2021.e00359
Abstract: Abstract Digital Soil Mapping and Assessment (DSMA) has progressed from challenging traditional soil science paradigms, through small scale prototyping, to large-scale implementation capturing quantitative measures of soil attributes and functions. This paper considers the future… read more here.
Keywords: digital soil; soil; mapping assessment; dsma ... See more keywords
A case-based method of selecting covariates for digital soil mapping
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DOI: 10.1016/s2095-3119(19)62857-1
Abstract: Abstract Selecting a proper set of covariates is one of the most important factors that influence the accuracy of digital soil mapping (DSM). The statistical or machine learning methods for selecting DSM covariates are not… read more here.
Keywords: digital soil; dsm; method; case based ... See more keywords