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1,049 results for “height”
Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020
<p>Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S from L1B Version 1 data for April-July 2019 and 2020. We refer to the original research article below for further information. The footprint data were filtered with respect to predictive uncertainty and MODIS non-vegetated probability.</p><p>The unfiltered data organized in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data is available here:</p><p>April-July 2019: <a href="https://doi.org/10.5281/zenodo.5704852">https://doi.org/10.5281/zenodo.5704852</a></p><p>April-July 2020: <a href="https://doi.org/10.5281/zenodo.7737869">https://doi.org/10.5281/zenodo.7737869</a></p><p><strong>GEDI mission website</strong>: <a href="https://gedi.umd.edu/">https://gedi.umd.edu/</a>.</p><p><strong>Citation:</strong></p><p>Use of these data require citation of this dataset:</p><p>Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020 (1.0) [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7737946">https://doi.org/10.5281/zenodo.7737946</a></p><p>Original research article:</p><p>Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <i>Remote Sensing of Environment</i>, <i>268</i>, 112760.</p><p>This filtered dataset (2019 and 2020) was used to develop the global canopy height model fusing Sentinel-2 and GEDI that is presented in:</p><p>Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023). A high-resolution canopy height model of the Earth. Nature Ecology & Evolution, 1-12, <a href="https://doi.org/10.1038/s41559-023-02206-6">https://doi.org/10.1038/s41559-023-02206-6</a></p>
Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps
<p><strong>Title:</strong></p> <p>Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps</p> <p><strong>Citation:</strong></p> <p>Seeger, K.; Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, Brill, D. (2023): Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps. Zenodo, <a href="https://doi.org/10.5281/zenodo.7875965">https://doi.org/10.5281/zenodo.7875965</a>.</p> <p><strong>Supplement to:</strong></p> <p>Seeger, K., Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, and Brill, D. (2023): Assessing land elevation in the Ayeyarwady Delta (Myanmar) and its relevance for studying sea level rise and delta flooding. EGUsphere [preprint], <a href="https://doi.org/10.5194/egusphere-2022-1425">https://doi.org/10.5194/egusphere-2022-1425</a>.</p> <p><strong>Abstract:</strong></p> <p>The local digital elevation model (DEM) of the Ayeyarwady Delta, referred to as AD-DEM, was generated based on elevation data of topographic maps at scale of 1:50,000 published in 2014 while source data was compiled between 2000 and 2004. Empirical Bayesian Kriging with empirical data transformation and exponential modelling was applied to interpolate ~5100 elevation points (spot heights) and ~13600 elevation points extracted from contour data of the topographic maps. Elevation values higher than 10 m were excluded from interpolation and the SRTM water body mask created in 2000 was applied to the processed AD-DEM. The AD-DEM was transformed from its original vertical reference of local mean sea level at Kyaikkhami tide gauge to continuous mean sea level based on the mean dynamic topography data (CNES-CLS18 dataset of Mulet et al. (2021; <a href="https://doi.org/10.5194/os-17-789-2021">https://doi.org/10.5194/os-17-789-2021</a>) that we transposed to EGM96) in order to account for sea level variations along the Myanmar coast.</p> <p>The AD-DEM contains itself some uncertainty due to the lack of evenly distributed spot heights in areas of the upper delta, for which a separate shapefile is provided. However, we highlight to consider the AD-DEM as being the currently best available model against the background of the lacking possibility of ground truthing and being independent from satellite-based measurements.</p> <p>For further information on data processing, including DEM interpolation, determination of local mean sea level and vertical datum conversions, as well as DEM performance, see the corresponding paper and supplementary material.</p> <p>File name: ADDEM_Con250m_lesseq10_MDT_AD_MMR2000_masked_maskedSRTM.tif</p> <p>File format: GEOTIFF file</p> <p>Spatial reference: MMR2000_46N</p> <p>Vertical reference: local continuous mean sea level, i.e., mean dynamic topography (CNES-CLS18 dataset of Mulet et al. (2021; <a href="https://doi.org/10.5194/os-17-789-2021">https://doi.org/10.5194/os-17-789-2021</a>) transposed to EGM96</p> <p>Cell size: 750 × 750 m</p> <p>File name: DataPoorAreas_MMR2000.shp</p> <p>File format: ESRI Shapefile</p> <p>Spatial reference: MMR2000_46N</p>
FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach.
<p>The products can be vizualized at <a href="https://martinschwartz0.users.earthengine.app/view/forms-height-biomass-volume-viewer">https://martinschwartz0.users.earthengine.app/view/forms-height-biomass-volume-viewer</a></p> <p>- FORMS-H: Canopy height map of France at 10 m resolution. The units are in centimeter (10^-2 m).</p> <p>- FORMS-B: Above-ground biomass density map of France at 30 m resolution. The units are in Mg ha-1</p> <p>- FORMS-V: Wood volume density map of France at 30 m resolution. The units are in m3 ha-1</p> <p>Please refer to the paper <a href="https://doi.org/10.5194/essd-15-4927-2023">https://doi.org/10.5194/essd-15-4927-2023</a> for further details.</p>
Demo data for global-canopy-height-model
<p>Demo data for the example scripts provided in <a href="https://github.com/langnico/global-canopy-height-model">https://github.com/langnico/global-canopy-height-model</a>.</p><p>Please see the README in the github repository for further information and see Lang, et al. (2023) for more information.</p><p><strong>Reference:</strong></p><p>Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023). A high-resolution canopy height model of the Earth. Nature Ecology & Evolution, 1-12, <a href="https://doi.org/10.1038/s41559-023-02206-6">https://doi.org/10.1038/s41559-023-02206-6</a></p><p> </p>
Species, DBH, and height of overstory trees in a chronosequence of reforested urban sites, Lexington, KY, USA
Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. This dataset contains information on tree species, height, DBH, and snag class across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.008-ha (0.02-ac) circular sampling plot and recorded the species, diameter at breast-height (DBH), and total height of each tree ≥2.5 cm (1 in) DBH. DBH was measured to the nearest 0.25 cm (0.1 in) using a DBH tape, and tree height was measured to the nearest 0.1 m using a laser hypsometer (Nikon Forestry Pro II) or telescoping height pole. These data provide a critical baseline for understanding tree growth on reforested urban sites.
Species and height of understory trees and shrubs in a chronosequence of reforested urban sites, Lexington, KY USA.
This dataset contains information on soil physical and chemical characteristics across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.002-ha (0.005-ac) circular sampling plot to survey woody understory species, respectively. Height and species of all woody plants <2.5 cm DBH and ≥30 cm tall were tallied to the nearest 0.5 cm with a telescoping height pole. These data will contribute to understanding of understory stand dynamics in developing urban forests.
Dendrometer studies for stand volume and height measurements of trees of the western US, 1976 to 1993
Dendrometry is used to get an accurate estimate of volume and height for individual trees. Volume tables or regressions may be generated. This method accurately accounts for taper by measuring at consecutive points up the bole.
Forest metrics derived from the 2008 Lidar point clouds, includes canopy closure, percentile height, and stem mapping for the Andrews Experimental Forest.
There are three types of forest metrics within this database. They all are derived from the raw Lidar point clouds using the FUSION software. The three types are canopy closure, height metric, and stem mapping. The canopy closure and height metric grids cover a variety of canopy heights and grid cell sizes. 1. Canopy closure: This metric measures the canopy closure of a given horizontal cell above a given vertical threshold (height break). Canopy closure can inform many landscape models and provide insight on how much light will reach the forest floor. 2. Height Metric: This metric measures the height at which a given percent of the first return points are below. This analysis is done in a given grid cell size. Height metrics give various statistics of the elevation above ground for a given set of Lidar points. In forested landscapes, first return height metrics describe the forest canopy. 3.This stem map locates the approximate center of all trees in the HJ Andrews Research Forest greater than 10 meters. In addition to the stem location, a canopy radius is also provided. FUSION and TreeVaWA software programs were used to develop this data. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data from HJ Andrews and the Willamette National Forest (NF) on August 10th and 11th 2008. Total area for this AOI is 17,705 acres. The total area of delivered LiDAR including 100 m buffer is 19,493 acres.
Maximum canopy height from 14 flux canopy and 19 point frame plots sampled near the shrub LTER sites at Toolik Field Station, Alaska, summer 2012.
Maximum canopy height measurements for deciduous shrub canopies sampled for both 1m x 1mc hamber flux polots (n=14) and point frame plots (n=19) in the summer of 2012 near LTER shrub plots at Toolik Lake, AK. The canopies were dominated either by Salix pulchra or Betula nana species, and plot locations were preferentially selected for tall canopies (height &gt; 75 cm). The methods for the chamber flux and point frames are outlined here briefly, though the data from these measurements are contained in separate files.
Tree heights and diameters: Wickersham fire sites (at the Viereck thaw probe locations), 1995 and 2004
In June of 1971, the Wickersham fire burned 6313 ha in an open black spruce forest underlain with permafrost and provided an opportunity to study fire and fireline effects on the rate and patterns of permafrost, soil, and vegetation recovery. When wildfire burns through a northern black spruce forest the degree of soil organic layer consumption greatly influences the post-fire community characteristics. The construction of firelines with heavy machinery involves the complete removal of vegetation and the soil organic layer down to mineral soil and likewise affects the community characteristics after fire and fire suppression. This long-term study is part of a comparison between the vegetative communities of firelines, burned, and unburned open black spruce forests underlain by ice rich permafrost. In this study, tree diameters and heights were measured in an unburned control plot and in a heavily burned plot. There were no trees to measure in the fireline plot. Tree heights and diameters at breast height were measured for tree species in the heavily burned and unburned control sites on the east side of Cushman Creek of the Wickersham Fire Sites. This dataset focuses on the trees of the east side sites (2004 and 2130) to corroborate the detailed studies of active layer depths and fireline surface level changes previously published (Viereck, 1982; also see datasets in related material section) and in preparation.
Tree regeneration after fire: Wickersham Dome long-term vegetation study, shrub height data
These data represent the most recent set of observations (made in 2002 by J. Johnstone) for several long-term vegetation monitoring plots near Wickersham Dome that were set up by Les Viereck and Joan Foote following the 1971 wildfire and 1978 experimental burns. Earlier records are available in the BNZ long-term vegetation database. This dataset documents tree seedling/sapling and shrub measurements made in 2002. Contains data on woody shrub heights measured in the same plots as trees.
Hourly soil moisture, soil temperature, groundwater temperature, and groundwater stage height measurements from 9 Hillslope Study sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The Hillslope Study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee River watershed in Macon County, NC, representing four land use types: forest, mountain development, traditional valley, and large river valley. At each of these sites, three subsurface flowpaths were identified, and four plots were established along the flowpath following the elevation gradient. At seven of the nine sites, the three lower elevation plots at one of the subsurface flowpaths had ground water wells installed in order to measure groundwater stage and temperature along an elevational gradient. Additional sensors were installed adjacent to the groundwater wells to measure soil moisture at 0-30 cm and 30-60 cm below the ground surface uphill and downhill of the well, and soil temperature at 5 cm below the ground surface. Measurements were taken every 60 seconds and output as hourly averages. Data were used as part of the Regional HydroEcological Simulation System (RHESSys) ecohydrologic model. Please see the accompanying well construction data for additional groundwater well information.
Groundwater stage height measurements of ten minute intervals from 9 sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The hillslope study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee River watershed in Macon County, NC, representing four land use types: forest, mountain development, traditional valley, and large river valley. At each of these sites, three subsurface flowpaths were identified, and four plots were established along the flowpath following the elevation gradient. At seven of the nine sites, the three lower elevation plots at one of the subsurface flowpaths had ground water wells installed in order to measure groundwater stage along an elevational gradient. Measurements were taken every 60 seconds and output as ten minute averages. Data were used as part of the Regional HydroEcological Simulation System (RHESSys) ecohydrologic model. Please see the accompanying well construction data for additional groundwater well information.
Fall 2000 plant monitoring survey -- shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10
A quadrat survey was conducted in October 2000 to measure the species and size distribution of plants in the permanent plots at 10 GCE LTER sampling sites. The permanent plots were subdivided into two nominal zones (creek and high marsh), and 8 quadrats were randomly placed within each zone. The species, shoot height, and flowering status was recorded individually for each plant present in each quadrat. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
Fall 2002 plant monitoring survey -- shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10
A quadrat survey was conducted in October 2002 to measure the species and size distribution of plants at 10 GCE LTER sampling sites. The quadrats were established as permanent plots at GCE sampling sites in October 2000 by placing wooden stakes at random locations across two nominal zones at each site, designated based on marsh structure (creekbank and high marsh). Several new plots were also added in October 2002 to replace those lost due to catastrophic wrack disturbance or creek bank erosion. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in the data set. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
Fall 2001 plant monitoring survey -- shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10
A quadrat survey was conducted in October 2001 to measure the species and size distribution of plants at 10 GCE LTER sampling sites. The quadrats were established as permanent plots at GCE sampling sites in October 2000 by placing wooden stakes at random locations across two nominal zones at each site, designated based on marsh structure (creekbank and high marsh). Several new plots were also added in October 2001 to replace those lost due to catastrophic wrack disturbance or creek bank erosion. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in the data set. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
SRH01 Seed release height and terminal velocity of forb species at Konza Prairie
Height of seed release values recorded at Konza Prairie Biological Station (2022-2024) and terminal velocity measurements of seeds collected from those same species. Intended to for seed dispersal estimates.
Measurements of height, diameter at breast height and basal diameter for Prestoea acuminata at the Luquillo Forest Dynamics Plot (LFDP), Puerto Rico in January 2020.
Data were collected in January 2020 in Puerto Rico, within and outside the boundaries of LFDP. For each of these palms, we measured stem height from the ground to the base of the crown (Hbc; height of the youngest internode), diameter at 130 cm above ground (D130), and basal diameter (DB; just above the top of the roots). These are the data which accompany the publication: Height-diameter allometry for a dominant palm to improve understanding of carbon and forest dynamics in forests of Puerto Rico.
Marsh water table height, logging data from the Railroad site on the Parker River for July-November 2004.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for July-November 2004.
Marsh water table height, logging data from the Railroad site on the Parker River for April-December 2006.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for April - December 2006.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.