0604719 - ARÚB 2025 ES eng A - Abstract
Hladík, Marek - Hladíková, K. - Cibulka, David
Long-term Settled Sites from the First Millennium AD. On the Morava River Basin – Predictive Modelling, Remote Sensing and Non-invasive Geophysics as a Tool of Research.
Human Challenges in a Context of Changing Landscapes: Book of Abstracts, Landscape Archaeology Conference 2024. Alcalá de Henares: Alcalá University, 2024. s. 73.
[Landscape archaeology conference. 10.06.2024-14.06.2024, Alcalá de Henares]
Institutional support: RVO:68081758
Keywords : remote sensing * geophysical prospecting * geoarchaeology
OECD category: Archaeology
Result website:
https://lac2024.com/wp-content/uploads/2024/06/Book-of-Abstracts-LAC2024.pdf
Permanent Link: https://hdl.handle.net/11104/0362218

0604395 - ÚVGZ 2025 RIV CZ cze L3 - Certified Methodologys
Homolová, Lucie - Kusbach, Antonín - Fischer, Milan - Krejza, Jan - Novotný, Jan - Ghisi, Tomáš - Světlík, J. - Bednář, P. - Trnka, Miroslav - Horáček, Petr
Ohodnocení ekosystémových funkcí lesních porostů pomocí metod dálkového průzkumu Země.
[Assessment of Forest Ecosystem Functions Using Remote Sensing.]
Internal code: 3/2024 ; 2024
Technical parameters: Smlouva o uplatnění je ze dne 3.12.2024 a je uzavřena s Lesním družstvem v Polné.
Economic parameters: Metodika přináší zásadní inovaci pro řízení lesního hospodářství v České republice. Díky možnosti cíleného rozdělování finanční podpory, hodnocení efektivity hos- podaření a plánování adaptací na změny klimatu představuje nástroj, který zajišťuje dlouhodobou stabilitu lesních ekosystémů a jejich přínos pro ekonomiku. Tento komplexní přístup kombinuje udržitelnost, ekologické funkce a ekonomickou efek- tivitu, což z něj činí klíčový prvek budoucí strategie lesního hospodářství.
Certifying body: Ministerstvo zemědělství. Certificate issue date: 13.12.2024
R&D Projects: GA TA ČR(CZ) TO01000345
Institutional support: RVO:86652079
Keywords : forest * production function * regulation function * net primary productivity * net primary productivity * evapotranspiration * aboveground biomass * remote sensing * modis * laser scanning
OECD category: Forestry
Permanent Link: https://hdl.handle.net/11104/0361800

0602162 - ÚVGZ DATA Scientific data      2024
Ghisi, Tomáš

Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers.
Version 2      

Description: The attached file contains 7 graphs related to the study:
Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa and energy fluxes in two ecosystems using the eddy covariance (EC) as a reference.
New hydrological insights for the region: Both models demonstrate the ability to quantify ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 0.52 mm/day). The models and EC indicate similar seasonal dynamics of the evaporative fraction and Bowen ratio throughout the growing season. Despite the overall agreement between the models and EC, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. This disagreement is related to the sensitivity of TSEB to canopy height/roughness, as well as the a priori Priestley–Taylor coefficient in forests. Despite these shortcomings, this study highlights the applicability of remote sensing energy balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
This deposit contains 6 .xlsx files.

Files 1–4 represent a combination of outputs from available models (TSEB, METRIC) and eddy covariance measurements for specific ecosystems (grassland, forest) during the period 2015–2021. These files contain energy balance and evapotranspiration data, including the Bowen ratio and evaporation fraction derived from eddy covariance measurements.

Files 5 and 6 contain measured daily eddy covariance evapotranspiration data and interpolated daily model data for the period 2015–2021 in grassland and forest ecosystems. These files are supplemented with directly available clear-sky evapotranspiration data from the TSEB and METRIC models.

Popis změny dat: Přidány výstupy z dostupných modelů (TSEB, METRIC) a měření vířivé kovariance pro konkrétní ekosystémy (travní porosty, les) v období 2015-2021. Tyto soubory obsahují údaje o energetické bilanci a evapotranspiraci, včetně Bowenova poměru a podílu výparu odvozeného z měření vířivé kovariance. Dále výstupy z naměřené denní údaje o evapotranspiraci na základě vířivé kovariance a interpolované denní modelové údaje pro období 2015-2021 v ekosystémech pastviny a les. Tyto soubory jsou doplněny přímo dostupnými údaji o evapotranspiraci při jasném nebi z modelů TSEB a METRIC. Doplněn popis a příloha.
Keywords : Eddy covariance * Evapotranspiration * Remote sensing models
R&D Projects: GA MŠMT(CZ) EH22_008/0004635
Institutional support: RVO:86652079
OECD category: Hydrology
DOI: https://doi.org/10.57680/asep.0602162
Handle: https://hdl.handle.net/11104/0359373
Depositor: 2
Date of release: 4.12.2024
 
Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers

0601459 - ÚVGZ 2025 RIV SI eng C - Conference Paper (international conference)
Švik, Marian - Brovkina, Olga - Veljanovski, T. - Čater, M.
Phenological trends of European beech stands along the Carpathian arc: A 20-year MODIS based analysis.
Predicting future trends – responses of beech and fir in the Carpathian region. Lublaň: Slovenian Forestry Institute, The Silva Slovenica Publishing Centre, 2024 - (Čater, M.; Dařenová, E.), s. 63-66. ISBN 978-961-6993-87-6.
[Predicting future trends – responses of beech and fir in the Carpathian region. Ljublaň (SI), 05.09.2024-05.09.2024]
R&D Projects: GA ČR(CZ) GF21-47163L
Institutional support: RVO:86652079
Keywords : european beech * phenology * remote sensing * time series * vegetation index
OECD category: Remote sensing
Result website:
https://dirros.openscience.si/Dokument.php?id=28410DOI: https://doi.org/10.20315/SilvaSlovenica.0026.11
Permanent Link: https://hdl.handle.net/11104/0358623

0600215 - ARÚB 2025 RIV cze U - Conference, Workshop Arrangement
Lečbychová, Olga - Tesařová, Barbora - Filipová, Zdenka - Gojda, Martin - Bíšková, J.
Archeologie z nebe.
[Archaeology from the Sky.]
[Ostrava, 10.10.2024-15.04.2025, (E1-CST 3)]
Research Infrastructure: AIS CR III - 90231
Institutional support: RVO:68081758 ; RVO:67985912
Keywords : remote sensing * aerial archaeology * landscape * non-destructive methods * landscape archaeology
OECD category: Archaeology; Archaeology (ARU-G)
Permanent Link: https://hdl.handle.net/11104/0361285