A5083238237- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Plant Water Relations and Carbon Dynamics
- Geochemistry and Geologic Mapping
- Hydrology and Watershed Management Studies
- Forest ecology and management
- Soil erosion and sediment transport
- Atmospheric Ozone and Climate
- Rangeland and Wildlife Management
- Tree-ring climate responses
- Land Use and Ecosystem Services
- Soil Geostatistics and Mapping
- Ecology and Vegetation Dynamics Studies
- Soil and Water Nutrient Dynamics
- Spectroscopy and Laser Applications
- Geology and Paleoclimatology Research
- Scientific Computing and Data Management
- Cryospheric studies and observations
- Climate variability and models
- Soil Carbon and Nitrogen Dynamics
- Environmental DNA in Biodiversity Studies
- Plant Ecology and Soil Science
- Fire effects on ecosystems
Jet Propulsion Laboratory
2022-2025
Stanford University
2015-2024
Carnegie Institution for Science
2012-2024
Lawrence Berkeley National Laboratory
2020-2021
The University of Texas at Austin
2021
Extending previous theorizing on cultural diversity's organizational effects by integrating value-in-diversity and social identity perspectives with the framework of Blau's (1977) theory heterog...
Carbon dioxide and methane emissions are the two primary anthropogenic climate-forcing agents an important source of uncertainty in global carbon budget. Uncertainties further magnified when occur at fine spatial scales (<1 km), making attribution challenging. We present first observations from NASA's Earth Surface Mineral Dust Source Investigation (EMIT) imaging spectrometer showing quantification fine-scale (0.3 to 73 tonnes CH4 hour-1) sources (1571 3511 CO2 spanning oil gas, waste,...
The Earth surface Mineral dust source InvesTigation (EMIT) is a remote visible to shortwave infrared (VSWIR) imaging spectrometer that has been operating onboard the International Space Station since July 2022. This article describes EMIT's on-orbit spectroradiometric calibration and validation. Accurate spectroscopy vital achieve consistent mapping results with orbital spectrometers. EMIT takes unique approach this challenge, just six optical elements, no shutter, systems. Its simple design...
Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations ecosystem function, phenology, and inter‐ intra‐annual change. However, full value repeat spectroscopy, information embedded within different temporal scales, reliability existing algorithms across diverse types vegetation phenophases have remained elusive due to absence suitable...
Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement offset mechanisms such as REDD+ (Reduced Deforestation Degradation Plus). The Random Forest machine learning algorithm may aid mapping applications using remotely-sensed data. However, has never been compared traditional potentially more reliable techniques regionally stratified sampling upscaling, it rarely employed with spatial Here, we evaluated the performance in upscaling airborne LiDAR (Light...
Abstract. High-resolution mapping of tropical forest carbon stocks can assist management and improve implementation large-scale retention enhancement programs. Previous high-resolution approaches have relied on field plot and/or light detection ranging (LiDAR) samples aboveground density, which are typically upscaled to larger geographic areas using stratification maps. Such efforts often rely detailed vegetation maps stratify the region for sampling, but existing too coarse plots sparse...
Significance Land use is a principal driver of carbon emissions, either directly through land change processes such as deforestation or indirectly via transportation and industries supporting natural resource use. To minimize the effects on climate system, ecosystems are needed to offset gross emissions sequestration. Managing this critically important service must be achieved tactically if it cost-effective. We have developed high-resolution mapping approach that can identify...
Abstract Like leaves, floral coloration is driven by inherent optical properties, which are determined pigments, scattering structure, and thickness. However, establishing the relative contribution of these factors to canopy spectral signals usually limited in situ observations. Modeling flowering dynamics (e.g., blooming duration, spatial distribution) at landscape scale may reveal insights into ecological processes phenological adaptations environmental changes. Multi‐temporal visible...
Airborne high fidelity imaging spectroscopy (HiFIS) holds great promise for bridging the gap between field studies of functional diversity, which are spatially limited, and satellite detection ecosystem properties, lacks resolution to understand within landscape dynamics. We use Carnegie Observatory HiFIS data combined with collected foliar trait develop quantitative prediction models traits at tree-crown level across over 1000 ha humid tropical forest. predicted leaf mass per area (LMA) as...
Abstract Net primary production (NPP) by plants represents the largest annual flux of carbon dioxide (CO 2 ) from atmosphere to terrestrial biosphere, playing a critical role in global (C) cycle and Earth's climate. Rates NPP tropical forests are thought be among highest on Earth, but debates about magnitude, patterns, controls tropics highlight uncertainty our understanding how may respond environmental change. Here, we compared estimates generated using three common approaches: (1)...
Spatial information on forest functional composition is needed to inform management and conservation efforts, yet this lacking, particularly in tropical regions. Canopy foliar traits underpin the biodiversity of forests, have been shown be remotely measurable using airborne 350–2510 nm imaging spectrometers. We used newly acquired spectroscopy data constrained with concurrent light detection ranging (LiDAR) measurements from Carnegie Airborne Observatory (CAO), field measurements, test...
Abstract In recent years, the availability of airborne imaging spectroscopy (hyperspectral) data has expanded dramatically. The high spatial and spectral resolution these uniquely enable spatially explicit ecological studies including species mapping, assessment drought mortality foliar trait distributions. However, we have barely begun to unlock potential use direct mapping vegetation characteristics infer subsurface properties critical zone. To assess their utility for Earth systems...
Accurate, high-resolution mapping of aboveground carbon density (ACD, Mg C ha-1) could provide insight into human and environmental controls over ecosystem state functioning, support conservation climate policy development. However, ACD has proven challenging, particularly in spatially complex regions harboring a mosaic land use activities, or remote montane areas that are difficult to access poorly understood ecologically. Using combination field measurements, airborne Light Detection...
Abstract Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, intensity of early summer (the ‘foresummer’ period from May June) drought conditions appears impose critical controls on peak productivity. This study aims (1) assess importance snowmelt and foresummer controlling plant productivity, based historical Landsat normalized-difference vegetation index (NDVI) climate data; (2) map spatial...
Abstract It is a critical time to reflect on the National Ecological Observatory Network (NEON) science date as well envision what research can be done right now with NEON (and other) data and training needed enable diverse user community. became fully operational in May 2019 has pivoted from planning construction operation maintenance. In this overview, history of foundational thinking around are discussed. A framework open described discussion how situated part larger constellation—across...
Abstract Current biodiversity metrics derived from remote sensing data are typically applied to small local areas, require significant training data, and not easily extensible globally. Here we propose the mathematical concept of intrinsic dimensionality (ID) as a method quantify terrestrial vegetation variability without need for in situ data. We apply this technique airborne imaging spectroscopy Surface Biology Geology High Frequency Time series (SHIFT) campaign, with weekly overflights...
Remote sensing holds promise for ecosystem-level monitoring of plant drought stress but is limited by uncertain linkages between physiological and remotely sensed metrics water content. Here, we investigate the stability relationships potential (Ψ) content (measured in situ via repeat airborne VSWIR imaging) over diel, seasonal, spatial variation two xeric oak tree species. We also compare these field-based with ones established laboratory settings that might be used as calibration. Due to...
Terra firme forests make up more than three quarters of the western Amazon basin and are often considered functionally homogeneous in regional scale mapping modelling efforts. However, landforms underlying these systems subject to dynamic processes landscape evolution occurring within an otherwise geomorphically stable terrace formation. These may introduce systematic variability local nutrient status terra ecosystems. We utilised high-resolution airborne topographic imaging spectroscopy...
Abstract. A common parameter in hydrological modeling frameworks is root zone water storage capacity (SR[L]), which mediates plant availability during dry periods as well the partitioning of rainfall between runoff and evapotranspiration. Recently, a simple flux-tracking-based approach was introduced to estimate value SR (Wang-Erlandsson et al., 2016). Here, we build upon this original method, argue may overestimate snow-dominated catchments due snow melt evaporation processes. We propose...
Abstract. High-resolution mapping of tropical forest carbon stocks can assist management and improve implementation large-scale retention enhancement programs. Previous high-resolution approaches have relied on field plot and/or Light Detection Ranging (LiDAR) samples aboveground density, which are typically upscaled to larger geographic areas using stratification maps. Such efforts often rely detailed vegetation maps stratify the region for sampling, but existing too coarse plots sparse...
Physical samples are foundational entities for research across biological, Earth, and environmental sciences. Data generated from sample-based analyses not only the basis of individual studies, but can also be integrated with other data to answer new broader-scale questions. Ecosystem studies increasingly rely on multidisciplinary team-science study climate changes. While there widely adopted conventions within certain domains describe sample data, these have gaps when applied in a context....
There is a growing understanding of the role that bedrock weathering can play as source nitrogen (N) to soils, groundwater and river systems. The significance particularly apparent in mountainous environments where fluxes be large. However, our relative contributions rock-derived, or geogenic, N total supply watersheds remains poorly understood. In this study, we develop High-Altitude Nitrogen Suite Models (HAN-SoMo), watershed-scale ensemble process-based models quantify sources,...