Application of artificial neural networks on traditional soil survey data.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F04%3A8414" target="_blank" >RIV/60460709:41210/04:8414 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Application of artificial neural networks on traditional soil survey data.
Original language description
Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems areshown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960?s were used. The original dataset contains about
Czech name
Aplikace umělých neuronových sítí na údaje tradičního půdního průzkumu
Czech description
Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems areshown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960?s were used. The original dataset contains about
Classification
Type
D - Article in proceedings
CEP classification
DF - Pedology
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA526%2F02%2F1516" target="_blank" >GA526/02/1516: Application of different pedometric methods on results of soil survey and their comparison</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Global Workshop on Digital Soil Mapping
ISBN
N
ISSN
—
e-ISSN
—
Number of pages
1
Pages from-to
0-0
Publisher name
Institut National de la Recherche Agronomique
Place of publication
Montpellier
Event location
Montpellier
Event date
Sep 14, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—