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
Imaging Spectroscopy for Soil Mapping and Monitoring
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DOI: 10.1007/s10712-019-09524-0
Abstract: There is a renewed awareness of the finite nature of the world’s soil resources, growing concern about soil security and significant uncertainties about the carrying capacity of the planet. Regular assessments of soil conditions from… read more here.
Keywords: imaging spectroscopy; spectroscopy; soil mapping; soil ... See more keywords
Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
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DOI: 10.1016/j.geoderma.2020.114337
Abstract: Abstract Sampling design plays an important role in soil survey and soil mapping. Conditioned Latin hypercube sampling (cLHS) has been proven as an efficient sampling strategy and used widely in digital soil mapping. cLHS samples… read more here.
Keywords: sample; latin hypercube; mapping; conditioned latin ... 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
Machine learning techniques for acid sulfate soil mapping in southeastern Finland
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DOI: 10.1016/j.geoderma.2021.115446
Abstract: Abstract Acid sulfate soils are one of the most environmentally harmful soils existing in nature. This is because they produce sulfuric acid and release metals, which may cause several ecological damages. In Finland, the occurrence… read more here.
Keywords: machine; machine learning; acid sulfate; learning techniques ... 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
Regional Soil Mapping Using Multi-Grade Representative Sampling and a Fuzzy Membership-Based Mapping Approach
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DOI: 10.1016/s1002-0160(17)60322-9
Abstract: Abstract High-resolution and detailed regional soil spatial distribution information is increasingly needed for ecological modeling and land resource management. For areas with no point data, regional soil mapping includes two steps: soil sampling and soil… read more here.
Keywords: representative sampling; multi grade; grade representative; soil mapping ... See more keywords