AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00379361" target="_blank" >RIV/68407700:21240/24:00379361 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.15439/2024F5446" target="_blank" >https://doi.org/10.15439/2024F5446</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2024F5446" target="_blank" >10.15439/2024F5446</a>
Alternative languages
Result language
angličtina
Original language name
AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images
Original language description
Efficient crop monitoring and crop dynamics fore- casting leveraging diverse satellite and point data are described. Attention-based architecture architecture is adapted for mono- temporal cloud removal which overcomes an issue of crop monitoring. Combining optical (Sentinel-2) and radar (Sentinel- 1) satellite data improves the robustness and accuracy of the model in terms of satellite image reconstruction and normalized difference vegetation index prediction and forecasting. However, available soil-type geographical data and land surface analysis products, do not improve prediction accuracy significantly
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the19th Conference on Computer Science and Intelligence Systems
ISBN
978-83-969601-6-0
ISSN
2300-5963
e-ISSN
2300-5963
Number of pages
8
Pages from-to
485-492
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Belgrade
Event date
Sep 8, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001413201600052