41 Works

CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016

S.K. Filippelli, M.J. Falkowski, A.T. Hudak & P.A. Fekety
This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of 30 meters. Biomass estimates are limited to areas of the Great Basin defined as a pinyon-juniper ecosystem type by the 2016 Landfire Existing Vegetation Type map. The estimates of biomass were based on a linear relationship with pinyon-juniper canopy cover and crown-based allometrics developed...

ATom: In-Situ Measurements of Airflow and Aerosols from Multiple Airborne Campaigns

A. Spanu, M. Dollner, J. Gasteiger, T.P. Bui & B. Weinzierl
This dataset provides results of selected in-situ measurements of airflow and aerosol particles collected during the following airborne campaigns: NASA Atmospheric Tomography (ATom), Saharan Aerosol Long-range Transport and Aerosol-Cloud-interaction Experiment (SALTRACE), and Absorbing aerosol layers in a changing climate: aging, lifetime and dynamics (A-LIFE). The airborne campaigns were conducted between 2013-06-10 and 2018-05-21. Depending upon the aircraft instrumentation per flight and campaign, the data include aircraft position, relative humidity, temperature, pressure, angle of attack (AOA),...

LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100

L.P. Chini, G.C. Hurtt, R. Sahajpal, S. Frolking, K. Frieler, A. Popp, B. Bodirsky, F. Humpenoeder, M. Stevanovic, K. Calvin, S. Ostberg, L. Warszawski & J. Volkholz
This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple...

SLOPE daily and 250 m gross primary productivity (GPP) for the CONUS, 2000-2019

C. Jiang & K. Guan
The SatelLite Only Photosynthesis Estimation (SLOPE) GPP product is a daily, 250 m GPP dataset covering the Contiguous United States (CONUS) from 2000 to present with 1 day latency. Gross primary productivity (GPP) quantifies the amount of carbon dioxide (CO2) fixed by plants through photosynthesis. Although as a key quantity of terrestrial ecosystems, there is a lack of high-spatial-and-temporal-resolution, real-time, and observation-based GPP products. This product has been developed to address this critical gap, leveraging...

ATom: Measurements from the Quantum Cascade Laser System (QCLS)

R. Commane, J.W. Budney, Y. Gonzalez ramos, M. Sargent, S.C. Wofsy & B.C. Daube
This dataset provides atmospheric concentrations of CO2, CH4, CO, and N2O measured by the Harvard Quantum Cascade Laser System (QCLS) instruments during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. The QCLS (DUAL and CO2) instrument package contains two separate optical assemblies and calibration systems, and a common data system and power supply. The QCLS DUAL instrument simultaneously measures CO, CH4, and N2O concentrations, in situ, using two thermoelectrically cooled pulsed-quantum cascade lasers light...

CMS: Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers 2000-2016

L. Goldberg, D. Lagomasino, N. Thomas & T. Fatoyinbo
This dataset provides estimates of the extent of mangrove loss, land cover change, and its anthropogenic or climatic drivers in three epochs: 2000-2005, 2005-2010, and 2010-2016. Landsat-based Normalized Difference Vegetation Index (NDVI) anomalies were used to determine loss extent in each epoch, and Random Forest machine learning classified land cover changes from mangrove to wet soil, dry soil, or water within each loss pixel. A series of decision trees used several global-scale land-use datasets to...

ABoVE: Soil Temperature Profiles, USArray Seismic Stations, AK and Canada, 2016-2019

D.J. Nicolsky, V.E. Romanovsky, A.L. Kholodov, K. Dolgikh & N. Hasson
This dataset includes soil temperature profile measurements taken at 17 seismic monitoring sites associated with the USArray program located across interior Alaska, USA, and at one site in Yukon, Canada. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m. Measurements were made from 2016-2018 at two sites, 2017-2019 at four sites, and 2018-2019...

ATom: Age of Air, ArN2 Ratio, and Trace Gases in Stratospheric Samples, 2009-2018

B. Birner, M. Chipperfield, E.J. Morgan & R.F. Keeling
This dataset provides calculated age of air (AoA) and the argon/nitrogen (Ar/N2) ratio (per meg) from stratospheric flask samples and simultaneous high frequency measurements of nitrous oxide (N2O), carbon dioxide (CO2), ozone (O3), methane (CH4), and carbon monoxide (CO) that have been compiled from three airborne projects. The trace gases were used to identify 235 flask samples with stratospheric influence collected by the Medusa Whole Air Sampler and to calculate AoA using a new N2O-AoA...

Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004

C.W. Ross, N.P. Hanan & L. Prihodko
This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004....

ATom: L2 Particulate Iodine from High-Resolution Aerosol Mass Spectrometer (HR-AMS)

J.L. Jimenez, P. Campuzano-Jost, D.A. Day, B.A. Nault & J.C. Schroder
This dataset provides mass concentrations of particulate iodine as measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS) during the first two deployments of the NASA Atmospheric Tomography airborne missions (ATom-1 and ATom-2) in 2016 and 2017, respectively. The data provided in this dataset result from a reanalysis of the initial HR-AMS data based on post-mission calibrations and are reported at 1-minute resolution. The dataset also includes the fractions of the main ions (I+, HI+, and...

ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010

M.J. Engram, K.W. Anthony & F.J. Meyer
This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2011 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite...

ATom: Measurements from the UAS Chromatograph for Atmospheric Trace Species (UCATS)

J.W. Elkins, E.J. Hintsa & F.L. Moore
This dataset, collected with the Unmanned Aircraft Systems (UAS) Chromatograph for Atmospheric Trace Species (UCATS), provides atmospheric concentrations of nitrous oxide (N2O), sulfur hexafluoride (SF6), methane (CH4), hydrogen (H2), and carbon monoxide (CO), water vapor (H2O), and ozone (O3). The UCATS system is three different instruments in one enclosure: a two-channel chromatograph with electron capture detectors, one measures N2O and SF6, the other measures CH4, H2 and CO; a tunable diode laser instrument for H2O;...

Soil Organic Carbon Estimates and Uncertainty at 1-m Depth across Mexico, 1999-2009

M. Guevara & R. Vargas
This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at 90-m resolution representative of the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2,852 soil profiles performed during the period 1999-2009 by the Mexican National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates...

Tidal wetland Gross Primary Production 2000-2019 (CONUS)

R.A. Feagin, I. Forbrich, T.P. Huff, J.G. Barr, J. Ruiz-plancarte, J.D Fuentes, R.G. Najjar, R. Vargas, A. Vazquez-lule, L. Windham-Myers, K. Kroeger, E.J. Ward, G.W. Moore, M. Leclerc, K.W. Krauss, C.L. Stagg, M. Alber, S.H. Knox, K.V.R. Schafer, T.S. Bianchi, J.A. Hutchings, H.B. Nahrawi, A. Noormets, B. Mitra, A. Jaimes … & G. Miao
This dataset details tidal wetland Gross Primary Production (GPP) across the continental United States. Tidal wetlands are a critical component of global climate regulation. Their GPP represents the total photosynthetic flux of CO2 between the atmosphere and the surface on a per land area basis before any respiratory fluxes back to the atmosphere are removed. Tidal wetland-based carbon, or 'blue carbon', is a valued resource that is increasingly important for restoration and conservation purposes. The...

ABoVE: Vegetation Composition across Fire History Gradients on the Y-K Delta, Alaska

G.V. Frost, R.A. Loehman, P.R. Nelson & D.P. Paradis
This dataset provides ecological field data that were collected from 43 plots spanning gradients of fire history in the upland tundra of Yukon-Kuskokwim (Y-K) Delta, Alaska, during July 2017 and July 2018. Plot-level data include vegetation species composition and structure, Leaf Area Index (LAI), topography, thaw-depth, and soil characteristics collected at plots burned in 1971, 1985, 2005, 2015, or unburned controls. Vegetation species were sampled along transects using the vegetation point-intercept (VPI) sampling approach and...

ABoVE: Year-Round Soil CO2 Efflux in Alaskan Ecosystems, Version 2

C. Minions, S. Natali, J.D. Watts, S. Ludwig & D. Risk
This dataset provides soil-surface carbon dioxide (CO2) efflux derived from measurements of soil respiration with forced diffusion (FD) chambers. Soil Respiration Stations (SRS) were installed at 11 boreal and tundra sites along a broad S-N transect starting from near Fairbanks in interior Alaska and extending to Atqasuk in northern Alaska. Each SRS measures soil respiration and ambient atmospheric CO2 concentrations with a forced diffusion (FD) chamber to derive soil CO2 flux. The SRS also measures...

Snowmelt Timing Maps Derived from MODIS for North America, Version 2, 2001-2018

D. O'Leary III, D.K. Hall, M. Medler, R. Matthews & A. Flower
This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection 6 for the period 2001-01-01 to 2018-12-31. The STMs were created by conducting a time-series analysis of the MOD10A2 snow maps to identify the DOY of snowmelt on a per-pixel basis. Snowmelt...

Pre-Delta-X: Vegetation Species, Structure, Aboveground Biomass, MRD, LA, USA, 2015

E. Castaneda, A.I. Christensen, M. Simard, A. Bevington, R. Twilley & A. Mccall
This dataset provides vegetation species, height, stem density and diameter, and species aboveground biomass (AGB) measurements collected at herbaceous and forested wetland sites across the Atchafalaya and Terrebonne basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during Pre-Delta-X campaigns in the spring and fall of 2015. Vegetation height and stem density and diameter data are only provided for forested Atchafalaya sites during the spring collections. At the...

Pre-Delta-X: Channel Bathymetry of the Atchafalaya Basin, LA, USA, 2016

M.W. Denbina, M. Simard, T.M. Pavelsky, A.I. Christensen, K. Liu & C. Lyon
This dataset provides water depths and water surface elevations collected during bathymetric surveys of the main channels of the Wax Lake Delta and main channel of the Atchafalaya Delta within the Mississippi River Delta (MRD) floodplain of coastal Louisiana, USA. The measurements were made during Pre-Delta-X Campaign in Fall 2016. The in situ continuous (1 Hz) surveys of channel bathymetry were conducted using a SonarMite Hydrolite Single Beam Echo Sounder mounted on the side of...

Pre-Delta-X: Spectral Reflectance of Water Surface across the MRD, LA, USA, 2016

D.J. Jensen, T.M. Pavelsky & C. Lion
This dataset provides measurements of in situ remote-sensing reflectance (Rrs) (per steradian) of surface water across Atchafalaya and Terrebonne basins, southern coastal Louisiana, USA. The in situ spectral reflectance measurements were made during Pre-Delta-X campaigns in the Fall of 2016, October 14 to 21. Hand-held spectrometer measurements were collected from a boat at 35 locations selected to represent a range of suspended sediment concentrations and properties from a variety of hydrodynamic and physical settings typically...

CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013

L. Duncanson, R.O. Dubayah, J. Armston, M. Liang, A. Arthur & D. Minor
This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha), were generated using a combination of airborne LiDAR data and field plot measurements with a parametric modeling approach. The relationship between field estimated and airborne LiDAR estimated aboveground biomass density is represented as a parametric model that predicts biomass as a function...

ABoVE: High Resolution Cloud-Free Snow Cover Extent and Snow Depth, Alaska, 2001-2017

Y. Yi, J. Kimball & C.E. Miller
This dataset provides estimates of maximum snow cover extent (SCE) and snow depth for each 8-day composite period from 2001 to 2017 at 1 km resolution across Alaska. The study area covers the majority land area of Alaska except for areas covered by perennial ice/snow or open water. A downscaling scheme was used in which Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis 0.5 degree snow depth data were interpolated to...

ABoVE: Methane Flux across Two Thermokarst Lake Ecosystems, Interior Alaska, 2018

C. Elder, P. Hanke, K.W. Anthony, D.R. Thompson, C.E. Miller & A.K. Thorpe
This dataset provides diffusive methane (CH4) fluxes collected from two thermokarst lakes in the Goldstream Valley, north of Fairbanks in interior Alaska. Fluxes were collected from the littoral zones, adjacent shoreline, and upland vegetation. The data were collected during July 2018. Measurements were made using a mobile, closed chamber technique where chamber air was recirculated through a Los Gatos Research (LGR) Ultraportable Cavity Ring-down Spectrometer. The chamber was large enough to enclose emergent and upland...

ABoVE: Distribution Maps of Wildland Fire Fuel Components across Alaskan Tundra, 2015

J. He, T.V. Loboda, L. Jenkins & D. Chen
This dataset provides maps of the distribution of three major wildland fire fuel types at 30 m spatial resolution covering the Alaskan arctic tundra, circa 2015. The three fuel components include woody (evergreen and deciduous shrubs), herbaceous (sedges and grasses), and nonvascular species (mosses and lichens). Multi-seasonal and multispectral mosaics were first developed at 30 m resolution using Landsat 8 surface reflectance data collected from 2013 to 2017. The spectral information from Landsat mosaics was...

Remote Sensing Derived Topsoil and Agricultural Economic Losses, Midwestern USA

E. Thaler, I. Larsen & Q. Yu
This dataset provides estimates of topsoil loss and economic loss associated with decreased crop productivity resulting from topsoil loss at county- and state-levels across the Corn Belt region of the Midwestern USA. Intermediate products used to derive topsoil loss, including 4-m gridded estimates of study sites' elevation, curvature, slope, soil organic carbon index (SOCI), and the probability of exposed B-horizon soil are provided. Topsoil loss at the county- and state-levels was derived from analyses of...

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  • 2020
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