Göran Ståhl
Biographic Data
| ID | 6704485 |
|---|---|
| NAME | Göran Ståhl |
| GIVEN NAMES | Göran |
| FAMILY NAME | Ståhl |
| SIGNATURE | STAHL G |
| AFFILIATIONS | Swedish University of Agricultural Sciences |
| ORCID | 0000-0001-9030-8057 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Vicarious calibration of Gedi biomass with Landsat age data for understanding secondary forest carbon dynamics
The recovery of biomass in secondary forests plays a vital role in global carbon sequestration processes and carbon emission mitigation. However, accurately quantifying the accumulation rate of aboveground biomass density in these forests is challenging owing to limited longitudinal field data. An alternative monitoring strategy is characterizing the mean biomass at a single point in time across stands with a range of known ages. This chronoseque…
Estimating aboveground biomass density using hybrid statistical inference with Gedi lidar data and Paraguay’s national forest inventory
Forests are widely recognized as critical to combating climate change due to their ability to sequester and store carbon in the form of biomass. In recent years, the combined use of data from ground-based forest inventories and remotely sensed data from light detection and ranging (lidar) has proven useful for large-scale assessment of forest biomass, but airborne lidar is expensive and data acquisition is infeasible for many countries. By contra…
Gedi launches a new era of biomass inference from space
Accurate estimation of aboveground forest biomass stocks is required to assess the impacts of land use changes such as deforestation and subsequent regrowth on concentrations of atmospheric CO 2 . The Global Ecosystem Dynamics Investigation (GEDI) is a lidar mission launched by NASA to the International Space Station in 2018. GEDI was specifically designed to retrieve vegetation structure within a novel, theoretical sampling design that explicitl…
Statistical properties of hybrid estimators proposed for Gedi—Nasa’s global ecosystem dynamics investigation
NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission will collect waveform lidar data at a dense sample of ∼25 m footprints along ground tracks paralleling the orbit of the International Space Station (ISS). GEDI’s primary science deliverable will be a 1 km grid of estimated mean aboveground biomass density (Mg ha −1 ), covering the latitudes overflown by ISS (51.6 °S to 51.6 °N). One option for using the sample of waveforms contained wi…
Forest certification and Swedish wood supply
Forest certification and Swedish wood supply
Statistical properties of hybrid estimators proposed for Gedi—Nasa’s global ecosystem dynamics investigation
NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission will collect waveform lidar data at a dense sample of ∼25 m footprints along ground tracks paralleling the orbit of the International Space Station (ISS). GEDI’s primary science deliverable will be a 1 km grid of estimated mean aboveground biomass density (Mg ha −1 ), covering the latitudes overflown by ISS (51.6 °S to 51.6 °N). One option for using the sample of waveforms contained wi…
Gedi launches a new era of biomass inference from space
Accurate estimation of aboveground forest biomass stocks is required to assess the impacts of land use changes such as deforestation and subsequent regrowth on concentrations of atmospheric CO 2 . The Global Ecosystem Dynamics Investigation (GEDI) is a lidar mission launched by NASA to the International Space Station in 2018. GEDI was specifically designed to retrieve vegetation structure within a novel, theoretical sampling design that explicitl…
Estimating aboveground biomass density using hybrid statistical inference with Gedi lidar data and Paraguay’s national forest inventory
Forests are widely recognized as critical to combating climate change due to their ability to sequester and store carbon in the form of biomass. In recent years, the combined use of data from ground-based forest inventories and remotely sensed data from light detection and ranging (lidar) has proven useful for large-scale assessment of forest biomass, but airborne lidar is expensive and data acquisition is infeasible for many countries. By contra…
Vicarious calibration of Gedi biomass with Landsat age data for understanding secondary forest carbon dynamics
The recovery of biomass in secondary forests plays a vital role in global carbon sequestration processes and carbon emission mitigation. However, accurately quantifying the accumulation rate of aboveground biomass density in these forests is challenging owing to limited longitudinal field data. An alternative monitoring strategy is characterizing the mean biomass at a single point in time across stands with a range of known ages. This chronoseque…
Environmental Science (5 works) · Geography (5 works) · Ecology (4 works) · Forest ecology and management (4 works) · Remote Sensing and LiDAR Applications (4 works) · Biomass (ecology (3 works) · Mathematics (3 works) · Remote sensing (3 works) · Remote Sensing in Agriculture (3 works) · Statistics (3 works)