Paul L Patterson
Biographic Data
| ID | 6414385 |
|---|---|
| NAME | Paul L Patterson |
| GIVEN NAMES | Paul L |
| FAMILY NAME | Patterson |
| SIGNATURE | PATTERSON P L |
| AFFILIATIONS | Rocky Mountain Research Station |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1974 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Characterizing and communicating uncertainty
Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concep…
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…
Modern Wind Ensemble
No prominent works on this page.
Modern Wind Ensemble
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…
Characterizing and communicating uncertainty
Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concep…
Computer Science (4 works) · Environmental Science (4 works) · Ecology (3 works) · Geography (3 works) · Remote sensing (3 works) · Remote Sensing and LiDAR Applications (3 works) · Remote Sensing in Agriculture (3 works) · Biomass (ecology (2 works) · Ecosystem (2 works) · Environmental resource management (2 works)