A5003573167- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Cryospheric studies and observations
- Climate change and permafrost
- Forest ecology and management
- Tree-ring climate responses
- Fire effects on ecosystems
- Forest Ecology and Biodiversity Studies
- Geology and Paleoclimatology Research
- Satellite Image Processing and Photogrammetry
- Forest Management and Policy
- Geological Studies and Exploration
- Species Distribution and Climate Change
- Aeolian processes and effects
- Remote Sensing and Land Use
- Coastal and Marine Dynamics
- Arctic and Antarctic ice dynamics
- Rangeland and Wildlife Management
- 3D Surveying and Cultural Heritage
- Atmospheric and Environmental Gas Dynamics
- Geochemistry and Geologic Mapping
- Methane Hydrates and Related Phenomena
- Plant Water Relations and Carbon Dynamics
- Coastal wetland ecosystem dynamics
- Remote-Sensing Image Classification
Goddard Space Flight Center
2014-2025
Science Systems and Applications (United States)
2007-2023
Adnet Systems (United States)
2023
Rocky Mountain Research Station
2022
Sigma Space (United States)
2011-2021
Support Systems Associates (United States)
2021
National Aeronautics and Space Administration
2021
University of Maryland, College Park
2012-2014
Rutgers, The State University of New Jersey
2002-2005
Center For Remote Sensing (United States)
2005
High-mountain Asia (HMA) constitutes the largest glacierized region outside of Earth's polar regions. Although available observations are limited, long-term records indicate sustained HMA glacier mass loss since ~1850, with accelerated in recent decades. Recent satellite data capture spatial variability this loss, but resolution is coarse and some estimates for regional HMA-wide disagree. To address these issues, we generated 5797 high-resolution digital elevation models (DEMs) from...
The combination of LiDAR and optical remotely sensed data provides unique information about ecosystem structure function. Here, we describe the development, validation application a new airborne system that integrates commercial off shelf hyperspectral thermal components in compact, lightweight portable system. Goddard’s LiDAR, Hyperspectral Thermal (G-LiHT) imager is permits simultaneous measurements vegetation structure, foliar spectra surface temperatures at very high spatial resolution...
NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates forest aboveground biomass density (AGBD). This paper presents the development models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including description datasets and procedure for final model selection. The fit our are from compilation globally distributed spatially temporally coincident field airborne...
NASA's Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) launched in the fall of 2018 is collecting vegetation canopy height terrain measurements globally. In this paper we validate heights estimated from 11 months ICESat-2 data using airborne lidar collected southern Finland. Overall, ATL08 product agreed with vertical errors less than 75 cm (mean = −0.07 m; MAE 0.53 m, RMSE 0.73 n observations 909,467). had positive bias (33 cm) when permanent snow cover was present compared to lidar....
Abstract Mangroves buffer inland ecosystems from hurricane winds and storm surge. However, their ability to withstand harsh cyclone conditions depends on plant resilience traits geomorphology. Using airborne lidar satellite imagery collected before after Hurricane Irma, we estimated that 62% of mangroves in southwest Florida suffered canopy damage, with largest impacts tall forests (>10 m). well-drained sites (83%) resprouted new leaves within one year the storm. By contrast,...
A joint US Air Force/National Aeronautics and Space Administration (NASA) blended global snow product that uses Earth Observation System Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Microwave Scanning Radiometer for the Observing (AMSR-E) Quick Scatterometer (QuikSCAT or QSCAT) data has been developed. Existing products derived from these sensors have into a single, global, daily, user-friendly by using newly developed Force Weather Agency (AFWA)/NASA Snow Algorithm...
Best merge region growing normally produces segmentations with closed connected objects. Recognizing that spectrally similar objects often appear in spatially separate locations, we present an approach for tightly integrating best nonadjacent object aggregation, which call hierarchical segmentation or HSeg. However, the original implementation of aggregation HSeg required excessive computing time even moderately sized images because intercomparison each all other regions. This problem was...
Existing national forest inventory plots, an airborne lidar scanning (ALS) system, and a space profiling system (ICESat-GLAS) are used to generate circa 2005 estimates of total aboveground dry biomass (AGB) in strata, by state, the continental United States (CONUS) Mexico. The is link ground observations AGB measurements. Two sets models generated, first relating laser measurements second set ALS (generated using model set) GLAS then, as sampling tool within hybrid estimation framework...
We report estimates of the amount, distribution, and uncertainty aboveground biomass (AGB) different ecoregions forest land cover classes within North American boreal forest, analyze factors driving error estimates, compare our with other reported values. A three-phase sampling strategy was used (i) to tie ground plot AGB airborne profiling lidar metrics (ii) link ICESat-GLAS measurements such that (iii) GLAS could be as a regional tool. estimated at 21.8 Pg, relative 1.9% based on 256...
Abstract Observations taken over the last few decades indicate that dramatic changes are occurring in Arctic‐Boreal Zone (ABZ), which having significant impacts on ABZ inhabitants, infrastructure, flora and fauna, economies. While suitable for detecting overall change, current capability is inadequate systematic monitoring improving process‐based large‐scale understanding of integrated components ABZ, includes cryosphere, biosphere, hydrosphere, atmosphere. Such knowledge will lead to...
The launch of NASA's Ice, Cloud, And Elevation Satellite-2 (ICESat-2) in September 2018 provides the scientific community an opportunity to observe high-resolution and three-dimensional surface elevations with global coverage. ICESat-2's Land Vegetation Height (ATL08) data product focuses on along-track terrain canopy heights observations at a 100 m × 11 spatial resolution. This work expands past ATL08 validation studies assess higher resolution (30 m) version ATL08's height product. new...
The boreal forest accounts for one-third of global forests, but remains largely inaccessible to ground-based measurements and monitoring. It contains large quantities carbon in its vegetation soils, research suggests that it will be subject increasingly severe climate-driven disturbance. We employ a suite ground-, airborne- space-based measurement techniques derive the first satellite LiDAR-based estimates aboveground entire circumboreal biome. Incorporating these inventory with uncertainty...
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only few remotely sensed data sources provide structural information wall-to-wall throughout boreal domain. ArcticDEM is collection high-resolution (2 m) space-borne stereogrammetric digital surface models (DSM) covering entire land area north 60° latitude. The free-availability offers new possibilities for aboveground biomass mapping (AGB) across forests, thus it...
Aboveground biomass density (AGBD) estimates from Earth Observation (EO) can be presented with the consistency standards mandated by United Nations Framework Convention on Climate Change (UNFCCC). This article delivers AGBD estimates, in format of Intergovernmental Panel (IPCC) Tier 1 values for natural forests, sourced National Aeronautics and Space Administration's (NASA's) Global Ecosystem Dynamics Investigation (GEDI) Ice, Cloud land Elevation Satellite (ICESat-2), European Agency's...
The purpose of this study was to map the areal extent and density submerged aquatic vegetation, principally seagrasses, Zostera marina Ruppia maritima, as part ongoing monitoring for Barnegat Bay, New Jersey National Estuary Program. We examine utility multiscale image segmentation/object-oriented classification using eCognition software seagrass across our 36,000 ha area. multi-scale segmentation/ object oriented approach closely mirrored conceptual model spatial structure habitats...