Analysis of the local environmental conditions of legumes using global datasets

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of the local environmental conditions of legumes using global datasets

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of the local environmental conditions of legumes using global datasets

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Multidisciplinary Scientific GeoConference &amp; EXPO SGEM

ISBN

978-619-7408-01-0

ISSN

1314-2704

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

791-798

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

29. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—