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Palmerston North, Manawatu-Whanganui, New Zealand 2018
Lidar was captured for Palmerston North City Council by AAM New Zealand between August and September 2018. The dataset was generated by AAM New Zealand and their subcontractors....- laz
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Sunset Crater Volcano National Monument, AZ
This Lidar was collected for the National Park Service because they require a high-resolution digital elevation model to serve as a base layer for further inventory and...- laz
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West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2010)
NCALM Project. PI: John Gartner, Dartmouth College. The survey area covers a 45 square kilometers along the Ashelot River, south of Keene and crossing West Swanzey, New...- laz
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Northern Walker Lane, CA Airborne LiDAR Dataset
The U.S. Geological Survey (USGS) Geologic Hazards Science Center (Golden, CO) coordinated the acquisition of ~198 square kilometers of airborne Light Distance and Ranging...- laz
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Oroville, CA: Middle Fork of the Feather River, Sierra Nevada Foothills
NCALM. PI: Kyungsoo Yoo, University of Delaware. The survey area consists of one polygon covering 208 square kilometers and centered along the Middle Fork Feather River, Sierra...- laz
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Otago, New Zealand 2016
Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016. The original datasets were generated by Aerial Surveys and their subcontractors. The...- laz
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Queenstown, Otago, New Zealand 2016
Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016. The original datasets were generated by Aerial Surveys and their subcontractors. The...- laz
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Kohala Peninsula, Hawaii: Precipitation Effects on Landscape Evolution
NCALM Seed. PI: Brendan P. Murphy, The University of Texas at Austin. The survey area consisted of a 46 square kilometer irregular polygon on the island of Hawaii covering two...- laz
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SciVis2022 FIRETEC Data
The data consists of seven HIGRAD/FIRETEC simulations, each with multiple time series (each 70 to 100 times steps) of 3D scalar fields on a curvilinear grid from coupled...- VTS
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Canopy bulk density (CBD)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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Canopy base height (CBH)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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Canopy height (CH)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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Downed wood biomass (DWB)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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Canopy fuel load (CFL)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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Above ground biomass (AGB)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy...- GeoTIFF
- tif
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SDG&E Fire Potential Index
The Fire Potential Index (FPI) assists in making operational decisions that will reduce fire threats and risks. This tool converts environmental, statistical, and scientific...- JSON
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SDG&E Surface Fuels
Surface Fuel data for San Diego County.- GeoTIFF
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High-Resolution Rapid Refresh (HRRR)
The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar...- grib2
- zarr
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National Digital Forecast Database (NDFD)
The National Digital Forecast Database (NDFD) is a suite of products generated by the National Weather Service (NWS) using data from regional NWS Weather Forecast Offices (WFOs)...- thredds
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SDG&E Operational Ensemble NAM 002 WRF
WRF model initialized with NAM boundary conditions and optimized for summer monsoon/hot and humid events. This model is run at a 2 km horizontal resolution with 51 vertical...- thredds
- Map
Tento katalog je také dostupný prostřednictvím API (see Dokumentace API).