Search results
- 1.0585345 - ÚVGZ 2025 RIV NL eng J - Journal Article
D'Agata, A. - Cudlín, Pavel - Vardopoulos, I. - Schinaia, G. - Corona, P. - Salvati, L.
Assessing the spatial coherence of forest cover indicators from different data sources: A contribution to sustainable development reporting.
Ecological Indicators. Roč. 158, JAN (2024), č. článku 111498. ISSN 1470-160X. E-ISSN 1872-7034
Institutional support: RVO:86652079
Keywords : national statistics * local scale * europe * dynamics * landsat * resources * landscape * quality * index * maps * Environmental indicators * Sustainability * Indirect validation * Optimizing data * Econometrics
OECD category: Forestry
Impact factor: 6.9, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1470160X23016400?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0353064File Download Size Commentary Version Access 1-s2.0-S1470160X23016400-main.pdf 0 562 KB Publisher’s postprint open-access - 2.0585232 - ÚI DATA Scientific data 2024
Geletič, Jan
Satellite remote sensing dataset for urban climate in Bergen and Prague.
Description: Shared dataset contains remote sensing data necessary for a land surface temperature (LST) calculation. Layers were processed for two cities; Bergen (Norway) and Prague (Czech Republic). Original data were downloaded from the U.S. Geological Survey (https://doi.org/10.5066/P975CC9B). For a LST calculation, a land surface emissivity (LSE) algorithm was used.
Processing of LANDSAT-8 and LANDSAT-9 data
Reading metadata file for each scene (*MTL.txt)
Reprojection of scene (note: Bergen scenes have two UTM Zones; 31N and 32N)
Cloud cover raster (see folder 01_CloudCover)
Calculation Top-Of-Atmosphere (TOA) reflectance for bands 10 and 11 (TB_10 and TB_11), saving to folder 02_TOA-reflectance
Calculating of NDVI and Fractional Vegetation Cover (FVC), saving to folder 03_FVC-NDVI
Calculating of LSE for both bands, same as different and mean LSE (folder 04_LSE)
Calculating of LST
Saving of metadata file (see *metadata.txt)
Keywords : land and surface temperature * landsat * Prague * Bergen * Land surface emissivity
OECD category: Meteorology and atmospheric sciences
Permanent Link: https://hdl.handle.net/11104/0353010
Depositor: admin
Date of release: 17.4.2024
R&D Projects: GA TA ČR(CZ) TO01000219
Institutional support: RVO:67985807 - 3.0576856 - ÚVGZ 2024 RIV NL eng J - Journal Article
Turubanova, S. - Potapov, P. - Hansen, M.C. - Li, X. - Tyukavina, A. - Pickens, A.H. - Hernandez-Serna, A. - Arranz, A. P. - Guerra-Hernandez, J. - Senf, C. - Hame, T. - Valbuena, R. - Eklundh, L. - Brovkina, Olga - Navrátilová, Barbora - Novotný, Jan - Harris, N. - Stolle, F.
Tree canopy extent and height change in Europe, 2001-2021, quantified using Landsat data archive.
Remote Sensing of Environment. Roč. 298, DEC (2023), č. článku 113797. ISSN 0034-4257. E-ISSN 1879-0704
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Europe * Forest * Tree canopy height * Landsat * Lidar * Forest change
OECD category: Remote sensing
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0034425723003486?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0346252File Download Size Commentary Version Access 1-s2.0-S0034425723003486-main.pdf 4 8.4 MB Publisher’s postprint open-access - 4.0572902 - ÚVGZ 2024 RIV GB eng J - Journal Article
Švik, Marian - Lukeš, Petr - Lhotáková, Z. - Neuwirthová, E. - Albrechtová, J. - Campbell, P. E. E. - Homolová, Lucie
Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods.
International Journal of Remote Sensing. Roč. 44, č. 10 (2023), s. 3083-3105. ISSN 0143-1161. E-ISSN 1366-5901
R&D Projects: GA MŠMT(CZ) LTAUSA18154
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : chlorophyll * plant functional traits * Harmonized Landsat Sentinel-2 * machine learning * pigment content * water content * specific leaf area
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.4, year: 2022
Method of publishing: Limited access
https://www.tandfonline.com/doi/full/10.1080/01431161.2023.2216847?scroll=top&needAccess=true&role=tab
Permanent Link: https://hdl.handle.net/11104/0343544 - 5.0572482 - ÚVGZ 2024 RIV CZ cze L2 - Special Maps
Mišurec, J. - Tomíček, P. - Lukeš, Petr - Klem, Karel
Mapa dlouhodobých změn obsahu organické hmoty v půdě.
[Map of long-term changes in soil organic matter content.]
Internal code: SS01020397-V5 ; 2022
Technical parameters: výstup zpracování dlouhodobé časové řady družicových dat pomocí algoritmu
Economic parameters: odhad obsahu
R&D Projects: GA TA ČR(CZ) SS01020397
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : soil organic content * remote sensing * landsat * trends
OECD category: Remote sensing
https://www.cleverfarm.ag/cs/agritas/
Permanent Link: https://hdl.handle.net/11104/0343140 - 6.0569982 - ÚVGZ 2023 RIV MY eng G - Proceedings (international conference)
Ghazaryan, G. - Ernst, S. - Sempel, F. - Nendel, Claas
Field-Level Irrigation Monitoring with Integrated Use of Optical and Radar Time Series in Temperate Regions.
Kuala Lumpur: International Geoscience and Remote Sensing Symposium (IGARSS), 2022. 3 s. ISBN 9781665427920. In: International Geoscience and Remote Sensing Symposium. 2022. JULY (2022), s. 5448-5451. ISBN 9781665427920.
[International Geoscience and Remote Sensing Symposium (IGARSS). Kuala Lumpur (MY), 17.07.2022-22.07.2022]
Institutional support: RVO:86652079
Keywords : irrigation * Landsat * Northern Germany * Sentinel-1 * Sentinel-2
OECD category: Remote sensing
https://www.igarss2022.org/
Permanent Link: https://hdl.handle.net/11104/0341320 - 7.0567215 - ÚVGZ 2023 RIV CH eng J - Journal Article
Tomíček, J. - Mišurec, J. - Lukeš, Petr - Potůčková, M.
Retrieval of Harmonized LAI Product of Agricultural Crops from Landsat OLI and Sentinel-2 MSI Time Series.
Agriculture-Basel. Roč. 12, č. 12 (2022), č. článku 2080. E-ISSN 2077-0472
R&D Projects: GA TA ČR TH02030248
Institutional support: RVO:86652079
Keywords : Sentinel-2 * Landsat * leaf area index * harmonization * vegetation index * prosail * radiative transfer * artificial neural network * time series
OECD category: Agriculture
Impact factor: 3.6, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2077-0472/12/12/2080
Permanent Link: https://hdl.handle.net/11104/0338497File Download Size Commentary Version Access agriculture-12-02080 (1).pdf 6 4.2 MB Publisher’s postprint open-access - 8.0558695 - ÚVGZ 2023 RIV US eng J - Journal Article
Adhikari, J. N. - Bhattarai, B. P. - Rokaya, Maan Bahadur - Thapa, T. B.
Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal.
PeerJ. Roč. 10, MAY (2022), č. článku e13435. ISSN 2167-8359. E-ISSN 2167-8359
Institutional support: RVO:86652079
Keywords : satellite imagery * national-park * classification * accuracy * conservation * pattern * forest * world * barun * area * Accuracy assessment * Habitat change detection * Image classification * Landsat image * Remote sensing
OECD category: Meteorology and atmospheric sciences
Impact factor: 2.7, year: 2022
Method of publishing: Open access
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126145/
Permanent Link: http://hdl.handle.net/11104/0332259File Download Size Commentary Version Access peerj-13435.pdf 8 26.3 MB Publisher’s postprint open-access - 9.0555992 - ÚVGZ 2023 RIV CH eng J - Journal Article
Poděbradská, Markéta - Wylie, B.K. - Bathke, D. - Bayissa, Y.A. - Dahal, D. - Derner, J. - Fay, P. - Hayes, M. - Schacht, W. - Volesky, J. - Wagle, P. - Wardlow, B.
Monitoring climate impacts on annual forage production across US Semi-Arid Grasslands.
Remote Sensing. Roč. 14, č. 1 (2022), č. článku 4. E-ISSN 2072-4292
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : ecosystem performance anomalies * river-basin * adaptive management * landsat data * northern * drought * reflectance * ndvi * precipitation * rangelands * drought * ecosystem performance * forage production * modis * ndvi * regression tree model
OECD category: Agronomy, plant breeding and plant protection
Impact factor: 5, year: 2022
Method of publishing: Open access
https://pubs.er.usgs.gov/publication/70226948
Permanent Link: http://hdl.handle.net/11104/0330421 - 10.0543252 - ÚVGZ 2022 RIV NL eng J - Journal Article
Bárta, Vojtěch - Lukeš, Petr - Homolová, Lucie
Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2.
International Journal of Applied Earth Observation and Geoinformation. Roč. 100, AUG (2021), č. článku 102335. ISSN 0303-2434. E-ISSN 1872-826X
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : real time detection * multi-date landsat * tree mortality * ips-typographus * pine * series * reflectance * transformation * disturbance * defoliation * Sentinel-2 * Time series * Green attack * Norway spruce * Bark beetle * Ips typographus
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 7.672, year: 2021
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0303243421000428?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0320499