COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966387" target="_blank" >RIV/49777513:23520/22:43966387 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.31490/9788024846026-2" target="_blank" >https://doi.org/10.31490/9788024846026-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.31490/9788024846026-2" target="_blank" >10.31490/9788024846026-2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES

Popis výsledku v původním jazyce

Creating an Earth’s twin in sufficient detail and complex relations is a challenge for the future arising from strategies like DestinE or Green Deal. Enormous amount of geospatial data available these days leads to a necessity of a suitable data structure to provide understandable information to a general user. An Open Land Use database can serve as such a structure for integrating datasets of different themes, different spatial resolution, and different temporal validity. This paper shows an example of incorporating Earth observation data into the Open Land Use data model, to provide enhanced information about field blocks of a farm in Vyškov region in CZE with information about crop types planted in fields. The data for enhancing the OLU database were based on Sentinel-1 and Sentinel-2 images from 2020, analysed into the form of (un)supervised classification of crop types and various indexes, especially Enhanced Vegetation Index (EVI) and Radar Vegetation Index for Sentinel-1 SAR data (RVI4S1).

Název v anglickém jazyce

COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES

Popis výsledku anglicky

Creating an Earth’s twin in sufficient detail and complex relations is a challenge for the future arising from strategies like DestinE or Green Deal. Enormous amount of geospatial data available these days leads to a necessity of a suitable data structure to provide understandable information to a general user. An Open Land Use database can serve as such a structure for integrating datasets of different themes, different spatial resolution, and different temporal validity. This paper shows an example of incorporating Earth observation data into the Open Land Use data model, to provide enhanced information about field blocks of a farm in Vyškov region in CZE with information about crop types planted in fields. The data for enhancing the OLU database were based on Sentinel-1 and Sentinel-2 images from 2020, analysed into the form of (un)supervised classification of crop types and various indexes, especially Enhanced Vegetation Index (EVI) and Radar Vegetation Index for Sentinel-1 SAR data (RVI4S1).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Symposium GIS Ostrava 2022 Earth Observation for Smart City and Smart Region

ISBN

978-80-248-4602-6

ISSN

1213-239X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

VSB - Technical University of Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

16. 3. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—