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Titlebook: Digital Soil Mapping with Limited Data; Alfred E. Hartemink,Alex McBratney,Maria de Lourde Book 2008 Springer Science+Business Media B.V.

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发表于 2025-3-21 17:32:00 | 显示全部楼层 |阅读模式
书目名称Digital Soil Mapping with Limited Data
编辑Alfred E. Hartemink,Alex McBratney,Maria de Lourde
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概述Digital soil mapping (DSM) is an emerging and expanding topic in soil science.There is a growing interest from neighbouring disciplines.The book presents the latest technologies, challenges and ideas
图书封面Titlebook: Digital Soil Mapping with Limited Data;  Alfred E. Hartemink,Alex McBratney,Maria de Lourde Book 2008 Springer Science+Business Media B.V.
描述Signi?cant technological advances have been few and far between in the past approximately one hundred years of soil survey activities. Perhaps one of the most innovative techniques in the history of soil survey was the introduction of aerial photographs as base maps for ?eld mapping, which replaced the conventional base map laboriously prepared by planetable and alidade. Such a relatively simple idea by today’s standards revolutionized soil surveys by vastly increasing the accuracy and ef?ciently. Yet, even this innovative approach did not gain universal acceptance immediately and was hampered by a lack of aerial coverage of the world, funds to cover the costs, and in some cases a reluctance by some soil mappers and cartog- phers to change. Digital Soil Mapping (DSM), which is already being used and tested by groups of dedicated and innovative pedologists, is perhaps the next great advancement in delivering soil survey information. However, like many new technologies, it too has yet to gain universal acceptance and is hampered by ignorance on the part of some pedologists and other scientists. DSM is a spatial soil information system created by numerical models that - count for the
出版日期Book 2008
关键词GIS; Geoinformationssysteme; Landsat; covariates; digital elevation model; digital soil mapping; environme
版次1
doihttps://doi.org/10.1007/978-1-4020-8592-5
isbn_softcover978-90-481-7925-1
isbn_ebook978-1-4020-8592-5
copyrightSpringer Science+Business Media B.V. 2008
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发表于 2025-3-21 21:15:06 | 显示全部楼层
IMD Access Control During Emergencies,patial soil data is conditioned to its ability to (i) increase spatial resolutions and enlarge extents and (ii) deliver a relevant information. The former challenge requires to develop a specific spatial data infrastructure for Digital Soil Mapping, to grasp Digital Soil Mapping onto existing soil s
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Security in British Politics 1945-99ed boundaries. The semantic issues raised by soil-landscape modelling within DSM are especially important for data renewal and integration with supplementary surveys. As with DSM in general, a data renewal exercise may require cultural and institutional change in traditional soil survey organization
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https://doi.org/10.1007/978-3-540-78442-5he mainstream for producing soil survey information, there are challenges that must be overcome. The community of soil scientists and soil classifiers engaged in producing soil information must become familiar with the technologies and their potential uses and limitations. More importantly, the user
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Elements of a Security Architectured mapped using ArcGIS 9.1 tools from ESRI. Brazil’s soil map and biome map at 1:5,000,000 scale were used in the geoprocessing. Our results showed that mapping soil K levels based on soil survey reports at the regional scale is difficult because of limitations in georeferencing and spatial distribut
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Elements of a Security Architecturer and faster. The objective of this study was to develop methodologies to integrate cartographic base elements with field work, using GIS and GPS in an area corresponding to 20 topographic charts in scale 1:50,000 in the State of Rio Grande do Sul, Southern Brazil, to obtain soil mapping based on th
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Dapeng Xiong,Peng Zou,Jun Cai,Jun Hepervised, supervised and knowledge-based (or heuristic) approaches. These key protocol activities support the ability to make maps of the spatial distribution of soil classes or attributes by developing predictive relations between spatially distributed input variables or classes and the desired out
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https://doi.org/10.1007/b136702tional soil data sets at a similar scale by those responsible for soil survey in the UK. However, our experience to date suggests that an adoption of similar strategies in regions and countries with sparse, soil orientated, data infrastructures could be of considerable value. For example many countr
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