Analysis of the local environmental conditions of legumes using global datasets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73585146" target="_blank" >RIV/61989592:15310/17:73585146 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/sgem2017/21/S08.101" target="_blank" >http://dx.doi.org/10.5593/sgem2017/21/S08.101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/sgem2017/21/S08.101" target="_blank" >10.5593/sgem2017/21/S08.101</a>

Result language
angličtina
Original language name
Analysis of the local environmental conditions of legumes using global datasets
Original language description
The recent development of remote sensing technologies and rapidly accumulating environmental data derived from geographic information systems (GIS) now provide information on the patterns of terrestrial environmental variation at global and continental scales. Moreover, the past decades, an extraordinary amount of work has been undertaken to map species distributions and use the collected information to identify suitable habitats. Remote sensing metrics have become an integral part of SDM studies and contribute the significant amount of spatially explicit data for distribution models given recent development in remote sensing technologies and products. Environmental data relevant for ecophysiology and spatial distribution modelling of legumes includes ecologically important environmental factors. Several geospatial global datasets representing topography, eco-climatological and pedological properties were studied with the main aim to obtain local conditions and to have unified spatial resolution of all environmental factors. Datasets were pre-processed per their key features. Finally, a model for automatic obtaining the data for SDM was developed. Paper presents outcomes of the study, testing and brings comparable metrics between obtained datasets for legume occurrence data.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Multidisciplinary Scientific GeoConference & EXPO SGEM
ISBN
978-619-7408-01-0
ISSN
1314-2704
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
791-798
Publisher name
STEF92 Technology Ltd.
Place of publication
Sofia
Event location
Albena
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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