AndreaBozzo/ceres-open-data-index huggingface dataset:
LBA-ECO CD-10 Tree DBH Measurements at the km 67 Tower Site, Tapajos National Forest

This data sets reports diameter at breast height (DBH) measurements in the old-growth upland forest at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements were made periodically from July 1999 through August 2005.Trees with DBH >35cm were measured for ~2600 trees in four 5ha transects. Trees >10cm were measured in a smaller area (Rice et al., 2004). Measurements were made in 1999, 2001, and 2005. Trees are identified by local common names. A cross reference to scientific names is provided as a companion file.Coarse woody debris and litter samples and measurements were collected same area. See related data sets.

Tags: earth-science-vegetation-biosphere-biomass
Organization: National Aeronautics and Space Administration
Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada

This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification-vegetation-in, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-leaf-characteristics-leaf-area-index-lai
Organization: National Aeronautics and Space Administration
MASTER: Wildfire and farmland mapping, California, July, 2004

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected during two flights aboard a NASA ER-2 aircraft over California, U.S., from 2004-07-20 to 2004-07-21. The primary objective of this deployment was mapping of farmland and sites of recent wildfires. This deployment was coordinated by NASA's Dryden Flight Research Center (DRFC), renamed Armstrong Flight Research Center in 2014, located in Edwards, California. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
Leaf Photosynthesis Rates (FIFE)

The objective of the Leaf Photosynthesis study was to measure the response of leaf photosynthesis and stomatal conductance to light, temperature, vapor pressure deficit, carbon dioxide and water potential for the most abundant C4 species at the FIFE study area. To this end, photosynthesis measurements were made on 6 days in June, July and August of 1987 at three different locations in the northwest quadrant of the FIFE study area. Leaf photosynthetic rate is measured by enclosing a leaf in a closed, transparent chamber and measuring the decrease in carbon dioxide concentration as a function of time. Light flux density is measured outside of the chamber and must be corrected for the chamber transmittance, which is 0.9. These data can be fit to various models of leaf photosynthesis and stomatal conductance by providing the responses to light, temperature leaf water potential, and carbon dioxide under field conditions on intact plants.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-ecological-dynamics-biosphere-ecosystem-functions-photosynthesis, earth-science-vegetation-biosphere-leaf-characteristics
Organization: National Aeronautics and Space Administration
MASTER: Western Diversity Time Series Campaign, WDTS, September 2022

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during five flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2022-09-02 to 2022-09-09. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
LBA-ECO LC-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001

This data set provides hot pixel data, as an indicator of fires that were detected by the GOES-8 satellite for the state of Acre, Brazil. Image data were collected for extended periods over the course of 3 years (1998, 2000 and 2001). Data were filtered to select only pixels identified and processed by the GOES-8 Automated Biomass Burning Algorithm (ABBA), where estimates of sub-pixel fire characteristics including size and temperature were able to be determined. There are three comma-delimited ASCII data files with this data set.

Tags: earth-science-ecological-dynamics-biosphere-fire-ecology-fire-occurrence, earth-science-natural-hazards-human-dimensions-wildfires
Organization: National Aeronautics and Space Administration
MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2024

This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during four flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2024-06-04 to 2024-06-28. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during 12 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2023-03-31 to 2023-05-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
MASTER: Western Diversity Time Series Campaign, WDTS, California, USA, Fall 2020

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) program during nine flights aboard a NASA ER-2 aircraft over selected areas of California, U.S, from 2020-09-17 to 2020-10-15. The WDTS program will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each deployment, and browse images derived from each L1B data file.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-visible-wavelengths-spectral-engineering-visible-imagery
Organization: National Aeronautics and Space Administration
Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada

This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provide in the companion document (Larose2003FTReport.pdf (link)).The Leaf Area Index (LAI) maps are at 30-m resolution for the 3x3-km Larose site. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover maps to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).The VALERI project (Validation of Land European Remote sensing Instruments) is dedicated to the validation of the products derived from medium resolution satellite sensors ( http://www.avignon.inra.fr/valeri/ ). The objectives of the VALERI project are: (1) to evaluate the absolute accuracy of the biophysical products (LAI, fAPAR, fCover) derived from large swath sensors (e.g., AVHRR, POLDER, VEGETATION, SEAWIFS, MSG, MERIS, AATSR, MODIS, MISR, GLI) using a range of possible algorithms; and (2) to inter-compare the products derived from different sensors and algorithms. For this purpose, the VALERI project has developed a network of sites distributed over the Earthâ€™s surface and a methodology designed to directly measure the biophysical variables of interest at proper spatial and temporal scales.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification-vegetation-in, earth-science-surface-radiative-properties-land-surface-reflectance, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-leaf-characteristics-leaf-area-index-lai
Organization: National Aeronautics and Space Administration
Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012

This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N. These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December).

Tags: earth-science-vegetation-biosphere-vegetation-index, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi
Organization: National Aeronautics and Space Administration
MASTER: Student Airborne Research Program (SARP) Campaign, California, 2009

This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2009-07-22 to 2009-07-24 over southern California, U.S., in a NASA DC-8 aircraft. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2009 deployment included two flights with 11 flight tracks. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 20-meter spatial resolution. The L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
Legates Surface and Ship Observations of Precipitation Climatology 0.5 x 0.5 degree V1 (RAIN_LEGATES) at GES DISC

The Legates Surface and Shipboard Rain Gauge Observations data set consists of a global climatology of monthly mean precipitation values. A global climatology of mean monthly precipitation was developed using traditional land-based gauge measurements as well as extrapolations of oceanic precipitation from coastal and island observations. Data were obtained from a variety of source archives. These data were screened for coding errors, merged, and redundant stations were removed. The resulting data base contains 24,635 independent terrestrial station records and 2223 oceanic gridpoint estimates. Precipitation gauge catches, however, are known to underestimate actual precipitation. Errors in the gauge catch result from wind-field deformation above the orifice of the gauge, wetting losses, and evaporation from the gauge and amount globally to nearly 8, 2, and 1 percent of the catch, respectively. A procedure was developed to estimate these errors and was used to obtain better estimates of global precipitation. Spatial variations in gauge type, air temperature, wind speed, and natural vegetation have been interpolated to the nodes of a 0.5 degrees of latitude by 0.5 degrees of longitude lattice using a spherically-based interpolation algorithm. The data set is used to validate general circulation model simulations of the present-day precipitation climate, for ground-based comparison with satellite-derived precipitation estimates, and as a basis for global water balance studies.

Tags: earth-science-precipitation-atmosphere-liquid-precipitation-rain-global-precipitation, earth-science-precipitation-atmosphere-precipitation-amount
Organization: National Aeronautics and Space Administration
Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters

In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012

This dataset provides estimates of forest aboveground biomass for three study areas and the entire Paragominas municipality, in Para, Brazil, in 2012. Aboveground biomass (in megagrams of carbon per hectare) was measured for inventory plots within the study (focal) areas, and then assimilated and modeled with LiDAR and PALSAR metrics using gradient boosting machines (GBM) to predict spatially explicit forest aboveground biomass and uncertainties for the entire focal areas. The PALSAR data across the three focal areas was combined and used in a GBM model to predict forest aboveground biomass across the entire Paragominas municipality.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-lidar-spectral-engineering-lidar-backscatter, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-carbon
Organization: National Aeronautics and Space Administration