COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES
Original language description
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).
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Symposium GIS Ostrava 2022 Earth Observation for Smart City and Smart Region
ISBN
978-80-248-4602-6
ISSN
1213-239X
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
VSB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Mar 16, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—