Search Results - "Forkel, Matthias"

Widespread and complex drought effects on vegetation physiology inferred from space

Authors: Li, Wantong Pacheco-Labrador, Javier Migliavacca, Mirco et al.

Source: Nature Communications, 14, 4640, (2023-08-15)

Subject Terms: General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, Multidisciplinary, Climate-change ecology, Ecophysiology, Ecosystem ecology

Relation: https://doi.org/10.5281/zenodo.7971319; https://doi.org/10.5281/zenodo.7971170; https://rdcu.be/dptq3; https://authors.library.caltech.edu/communities/caltechauthors/; https://www.ncbi.nlm.nih.gov/pmc/PMC10427636

Availability: https://doi.org/10.1038/s41467-023-40226-9
https://www.ncbi.nlm.nih.gov/pmc/PMC10427636

Assessment of satellite observation-based wildfire emissions inventories using TROPOMI data and IFS-COMPO model simulations.

Authors: de Laat, Adrianus Huijnen, Vincent Andela, Niels et al.

Source: Atmospheric Chemistry & Physics Discussions; 4/19/2024, p1-81, 81p

Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass

Authors: Wang, Siyuan Yang, Hui Koirala, Sujan et al.

Contributors: Wang, Siyuan Yang, Hui Koirala, Sujan et al.

Subject Terms: biomass, carbon cycle dynamics, disturbance regime, forest mortality, gap dynamics, Global and Planetary Change, Environmental Chemistry, Earth and Planetary Sciences(all), SDG 13 - Climate Action

Relation: PURE: 99834886; Scopus: 85196151365; WOS: 001247321900001; http://hdl.handle.net/10362/172618; https://doi.org/10.1029/2023MS004099

Availability: http://hdl.handle.net/10362/172618
https://doi.org/10.1029/2023MS004099

Widespread increasing vegetation sensitivity to soil moisture.

Authors: Li, Wantong Migliavacca, Mirco Forkel, Matthias et al.

Source: Nature Communications; 7/8/2022, Vol. 13 Issue 1, p1-9, 9p

Subject Terms: SOIL moisture, LEAF area index, WATER supply, VEGETATION dynamics, ARID regions, VEGETATION patterns

Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth.

Authors: Forkel, Matthias Schmidt, Luisa Zotta, Ruxandra-Maria et al.

Source: Hydrology & Earth System Sciences Discussions; 4/5/2022, p1-43, 43p

Remote sensing forest health assessment – a comprehensive literature review on a European level.

Authors: Drechsel, Johannes Forkel, Matthias

Source: Central European Forestry Journal; 2025, Vol. 71 Issue 1, p14-39, 26p

Subject Terms: AIR pollution monitoring, FOREST health, REMOTE sensing, BARK beetles, ARTIFICIAL intelligence

Diagnosing modeling errors of global terrestrial water storage interannual variability.

Authors: Hoontaek Lee Martin Jung Carvalhais, Nuno et al.

Source: Hydrology & Earth System Sciences Discussions; 8/5/2022, p1-44, 44p

Above ground biomass estimation in the upper Blue Nile basin forests, North-Western Ethiopia.

Authors: Kerebeh, Habtamu Forkel, Matthias Zewdie, Worku

Source: Environmental Systems Research; 10/16/2024, Vol. 13 Issue 1, p1-16, 16p

Subject Terms: FOREST management, FOREST biomass, LEAF area index, NORMALIZED difference vegetation index, BIOMASS estimation, FOREST monitoring

Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations.

Authors: Liu, Xiao Neigh, Christopher S.R. Pardini, Matteo et al.

Source: International Journal of Remote Sensing; May2024, Vol. 45 Issue 9, p3129-3148, 20p

Subject Terms: SYNTHETIC aperture radar, LIDAR, FOREST biomass, FOREST dynamics, FOREST degradation, OPTICAL radar, ECOLOGICAL disturbances, TROPICAL forests, SYNTHETIC apertures

Geographic Terms: GABON

Company/Entity: UNITED States. National Aeronautics & Space Administration

The three major axes of terrestrial ecosystem function

Authors: Migliavacca, Mirco Musavi, Talie Mahecha, Miguel D et al.

Contributors: Migliavacca, Mirco Musavi, Talie Mahecha, Miguel D et al.

Source: ISSN: 0028-0836.

Subject Terms: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems

Relation: info:eu-repo/semantics/altIdentifier/pmid/34552242; PUBMED: 34552242; WOS: 000698366900004

Availability: https://hal.science/hal-04674563
https://hal.science/hal-04674563v1/document
https://hal.science/hal-04674563v1/file/s41586-021-03939-9.pdf
https://doi.org/10.1038/s41586-021-03939-9

Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data.

Authors: Panwar, Annu Migliavacca, Mirco Nelson, Jacob A. et al.

Source: Scientific Reports; 11/18/2023, Vol. 13 Issue 1, p1-14, 14p

Subject Terms: PHENOLOGY, STATISTICAL smoothing, EDDIES, TIME series analysis, VEGETATION dynamics, PRIMARY productivity (Biology), CUSUM technique

Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction.

Authors: Lasslop, Gitta Hantson, Stijn Harrison, Sandy P. et al.

Source: Global Change Biology; Sep2020, Vol. 26 Issue 9, p5027-5041, 15p, 1 Diagram, 2 Charts, 6 Graphs

Subject Terms: CARBON cycle, VEGETATION dynamics, FOREST fire ecology, FIRE, ECOSYSTEMS, CARBON, GROUND vegetation cover

Through eagle eyes—the potential of satellite-derived LAI time series to estimate masting events and tree-ring width of European beech.

Authors: Stolz, Juliane Forkel, Matthias van der Maaten, Ernst et al.

Source: Regional Environmental Change; Jun2023, Vol. 23 Issue 2, p1-14, 14p

Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence.

Authors: Mukunga, Tichaona Forkel, Matthias Forrest, Matthew et al.

Source: Fire (2571-6255); May2023, Vol. 6 Issue 5, p197, 19p

Subject Terms: SOCIOECONOMIC factors, VEGETATION dynamics, RANDOM forest algorithms, GROSS domestic product, CARBON emissions

Geographic Terms: SUB-Saharan Africa, SOUTHEAST Asia

Diagnosing modeling errors in global terrestrial water storage interannual variability.

Authors: Lee, Hoontaek Jung, Martin Carvalhais, Nuno et al.

Source: Hydrology & Earth System Sciences; 2023, Vol. 27 Issue 7, p1531-1563, 33p

Subject Terms: WATER storage, HYDROLOGIC models, HYDROLOGIC cycle, STREAMFLOW, ARID regions, WATERSHEDS

Geographic Terms: SOUTH Asia, SOUTHEAST Asia

Sensitivity of fire weather indices, fuel sticks and satellite observations to fuel moisture content in Central European forests - Data

Authors: Kranz, Johanna orcid:0000-0003-2503- Bauer, Konrad et al.

Subject Terms: Fuel types, Fuel moisture content, Forest fire, Meteorology, Fire weather

Relation: https://zenodo.org/records/12732295; oai:zenodo.org:12732295; https://doi.org/10.5281/zenodo.12732295

Availability: https://doi.org/10.5281/zenodo.12732295
https://zenodo.org/records/12732295

Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties.

Authors: Schmidt, Luisa Forkel, Matthias Zotta, Ruxandra-Maria et al.

Source: Biogeosciences; 2023, Vol. 20 Issue 5, p1027-1046, 20p

Subject Terms: LEAF area index, NORMALIZED difference vegetation index, SEA ice, MICROWAVE heating, SEAWATER salinity, VEGETATION monitoring, LAND cover

Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth.

Authors: Forkel, Matthias Schmidt, Luisa Zotta, Ruxandra-Maria et al.

Source: Hydrology & Earth System Sciences; 2023, Vol. 27 Issue 1, p39-68, 30p

Subject Terms: LEAF area index, MICROWAVE attenuation, MOISTURE, MICROWAVES, CLOUDINESS, DROUGHT management, FLAME spread

Global and Regional Trends and Drivers of Fire Under Climate Change.

Authors: Jones, Matthew W. Abatzoglou, John T. Veraverbeke, Sander et al.

Source: Reviews of Geophysics; Sep2022, Vol. 60 Issue 3, p1-76, 76p

Subject Terms: FOREST fires, FIRE weather, CLIMATE extremes, CLIMATE change, WEATHER & climate change, WEATHER control

VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing.

Authors: Wild, Benjamin Teubner, Irene Moesinger, Leander et al.

Source: Earth System Science Data; Mar2022, Vol. 14 Issue 3, p1063-1085, 23p

Subject Terms: MODIS (Spectroradiometer), CARBON cycle, OPTICAL remote sensing, MICROWAVE remote sensing, CLIMATE change, DATA libraries

Company/Entity: TECHNISCHE Universitat Wien