Paul L. Patterson
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View article: Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System
Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System Open
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 s…
View article: A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From <scp>NASA</scp>'s <scp>GEDI</scp> and Landsat Missions
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From <span>NASA</span>'s <span>GEDI</span> and Landsat Missions Open
The hierarchical model‐based (HMB) statistical method is currently applied in connection with NASA's Global Ecosystem Dynamics Investigation (GEDI) mission for assessing forest aboveground biomass (AGB) in areas lacking a sufficiently larg…
View article: Three-phase hierarchical model-based and hybrid inference
Three-phase hierarchical model-based and hybrid inference Open
Global commitments to mitigating climate change and halting biodiversity loss require reliable information about Earth's ecosystems. Increasingly, such information is obtained from multiple sources of remotely sensed data combined with dat…
View article: Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory
Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory Open
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 se…
View article: ‘FIESTA': a forest inventory estimation and analysis R package
‘FIESTA': a forest inventory estimation and analysis R package Open
Ecologists are increasingly relying on national forest inventories to address a wide variety of issues. The ‘FIESTA' R package (Forest Inventory ESTimation and Analysis) is a tool that enables customized investigations using the extensive …
View article: GEDI launches a new era of biomass inference from space
GEDI launches a new era of biomass inference from space Open
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 Investigatio…
View article: Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation
Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation Open
NASA's Global Ecosystem Dynamics Investigation (GEDI) mission offers data for temperate and pan-tropical estimates of aboveground forest biomass (AGB). The spaceborne, full-waveform LiDAR from GEDI provides sample footprints of canopy stru…
View article: GEDI L4A Footprint Level Aboveground Biomass Density, Version 1
GEDI L4A Footprint Level Aboveground Biomass Density, Version 1 Open
This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footpri…
View article: The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography Open
Obtaining accurate and widespread measurements of the vertical structure of the Earths forests has been a longsought goal for the ecological community. Such observations are critical for accurately assessing the existing biomass of forests…
View article: Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation
Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation Open
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…
View article: Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data
Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data Open
Recent developments in remote sensing (RS) technology have made several sources of auxiliary data available to support forest inventories. Thus, a pertinent question is how different sources of RS data should be combined with field data to…
View article: The extent of forest in dryland biomes
The extent of forest in dryland biomes Open
Mapping the world's dry forests The extent of forest area in dryland habitats, which occupy more than 40% of Earth's land surface, is uncertain compared with that in other biomes. Bastin et al. provide a global estimate of forest extent in…
View article: Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation Open
This paper focuses on the use of models for increasing the precision of estimators in large-area forest surveys. It is motivated by the increasing availability of remotely sensed data, which facilitates the development of models predicting…
View article: Nevada Photo-Based Inventory Pilot (NPIP) resource estimates (2004-2005)
Nevada Photo-Based Inventory Pilot (NPIP) resource estimates (2004-2005) Open
The complex nature of broad-scale, strategic-level inventories, such as the Forest Inventory and Analysis program (FIA) of the USDA Forest Service, demands constant evolution and evaluation of methods to get the best information possible w…