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Dataset results
195 results for “Surface reflectance”
MODIS/Terra Near Real Time (NRT) Surface Reflectance Rolling-8-Day L3 Global 500m SIN Grid
The MODIS Near Real Time (NRT) product, MOD09A1N provides Bands 1-7 at 500-meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09A1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage, low view angle, the absence of clouds or cloud shadow, and aerosol loading. Science Data Sets provided for this product include reflectance values for Bands 1-7, quality assessment, and the day of the year for the pixel along with solar, view, and zenith angles.
MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid NRT
The MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid Near Real Time (NRT) product is an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.MYD09GA provides Bands 1-7 in a daily gridded L2G product in the Sinusoidal projection, which includes 500-meter reflectance values and 1-kilometerobservation and geolocation statistics. 500-meter Science Data Sets provided by this product include reflectance for Bands 1-7, a quality rating, observation coverage, observation number, and 250-meter scan information.1-kilometer Science Data Sets provided include number of observations, quality state, sensor angles, solar angles, geolocation flags, and orbit pointers.
MODIS/Terra Surface Reflectance Quality Daily L2G Global 1km SIN Grid NRT
The MODIS Near Real Time (NRT) level-2G 1km surface reflectance data state QA product, MOD09GST, is a restructured version of its primary input, the state QA data in MOD09_L2. This product summarizes the quality of the MOD09 products, specifically atmospheric and other correction states. The product contains quality assurance data pertaining to cloud and cloud shadow, land and water designations, aerosols, and the data source of corrections performed on the file. The data set also contains the number of observations for each pixel.
MODIS/Terra Surface Reflectance Rolling-8-Day L3 Global 250m SIN Grid NRT
The MODIS/Terra Surface Reflectance Rolling-8-Day L3 Global 250m SIN Grid Near Real Time (NRT) product, MOD09Q1N provides Band 1 and 2 data at 250 meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09Q1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage low view angle the absence of clouds or cloud shadow and aerosol loading. Science Data Sets provided for this product include reflectance values for Bands 1 and 2 and a quality rating.
MODIS/Aqua Surface Reflectance Daily L3 Global 0.05Deg CMG
The MODIS Near Real Time (NRT) Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.MYD09CMG provides Bands 1???7 in a daily level-3 product gridded on a simple 0.05 degree (5600-meter) Geographic projection. Data for each pixel is selected on the basis of low solar zenith angle, minimum Band 3 (blue) reflectance, and absence of cloud from level-3 intermediate files. Science Data Sets provided for this product include reflectance values for Bands 1???7, brightness temperatures for Bands 20, 21, 31, and 32, solar and view zenith angles, relative azimuth angle, ozone, granule time, and quality assessment.
MODIS/Terra Surface Reflectance Rolling-8-Day L3 Global 500m SIN Grid NRT
The MODIS/Terra Surface Reflectance Rolling-8-Day L3 Global 500m SIN Grid Near Real Time (NRT) product provides Bands 1-7 at 500-meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. The short name of this product is MOD09A1N. Each MOD09A1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage, low view angle, the absence of clouds or cloud shadow, and aerosol loading. Science Data Sets (SDS) provided for this product include reflectance values for Bands 1-7, quality assessment, and the day of the year for the pixel along with solar, view, and zenith angles.
NOAA-18 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-18 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05Deg CMG, short-name N18_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N18_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format.
NOAA-16 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-16 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05Deg CMG, short-name N16_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N16_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format.
MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.MYD09GQ provides Bands 1 and 2 at a 250-meter resolution in a daily gridded L2G product in the Sinusoidal projection. Science Data Sets provided for this product include reflectance for Bands 1 and 2 a quality rating observation coverage and observation number. This product is meant to be used in conjunction with MYD09GA where important quality and viewing geometry information is stored.Additional information at LPDAAC:https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table
Gene expression in whole lung and pulmonary macrophages reflects the dynamic pathology associated with airway surface dehydration [left lobe only]
GEO Series GSE47546. Mus musculus. 24 samples. Type: Expression profiling by array.
Gene expression in whole lung and pulmonary macrophages reflects the dynamic pathology associated with airway surface dehydration
GEO Series GSE47548. Mus musculus. 36 samples. Type: Expression profiling by array.
GF5B AHSI surface reflectance dataset (ACHORD algorithm)
Open the record for dataset details and reuse information.
VIIRS/NPP Surface Reflectance Daily L3 Global 0.05 Deg CMG V001
The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance Climate Modeling Grid (VNP09CMG) Version 1 product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (Suomi NPP) VIIRS sensor. Data are provided for three imagery bands (I1-I3) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. This product includes the twelve reflectance bands, five moderate resolution brightness temperature bands (M12-M16) and information layers representing relative azimuth angle, sensor zenith angle, solar zenith angle, reflectance band quality, time of day, and number mapping.
VIIRS/NPP Surface Reflectance 8-Day L3 Global 1km SIN Grid V001
The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance (VNP09A1) Version 1 composite product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (Suomi NPP) VIIRS sensor for nine moderate resolution bands (M1 - M5, M7, M8, M10, M11) at nominal 1 kilometer resolution (~926 meter). The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the Level 2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period that is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. Included in the product along with the nine reflectance bands are day of year, reflectance band quality, control, reflectance state quality assurance, relative azimuth angle, sensor zenith angle, and solar zenith angle layers.
LANDSAT SURFACE REFLECTANCE -L7 ETM+
Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets.
LANDSAT SURFACE REFLECTANCE L4-5 TM
Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets.
OLCI+SLSTR/Sentinel-3A L2 Surface Reflectance and Aerosol parameters over Land
The OLCI+SLSTR/Sentinel-3A L2 Surface Reflectance and Aerosol parameters over Land product with shortname S3A_SY_2_SYN, is generated by combining data acquired by the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR), on-board SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands whereas the SLSTR is a dual scan temperature radiometer. The principal objective of SLSTR products is to provide global and regional Sea and Land Surface Temperature (SST, LST) to a very high level of accuracy (better than 0.3 K) for both climatological and meteorological applications. For more information about the instrument and the mission, visit "Sentinel Online" at https://sentinel.esa.int/web/sentinel/home. The S3A_SY_2_SYN is a Level 2 product which consist of surface reflectances for all SYN channels and aerosol parameters over Land. There are 29 Measurement Data Files and 9 Annotation Data Files included in this product. All measurement datasets are provided on the OLCI image grid, similar to the one included in the OLCI L1b product. For more information about the product, read the SENTINEL-3 Synergy User Guide at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-synergy
Landsat Surface Reflectance - L8 OLI/TIRS
Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets.
SnowEx21 Senator Beck Basin and Grand Mesa, CO AVIRIS-NG Surface Spectral Reflectance V001
This data set provides apparent surface spectral reflectance imagery which demonstrates snow albedo and snow optical property evolution across two distinct snow-covered environments in Colorado. Data collection occurred in the spring of 2021 as part of the NASA SnowEx mission. The two study sites (Senator Beck Basin and Grand Mesa) were chosen for their contrasting terrain and vegetation characteristics. Data collection occurred over three days (19 March, 1 April, and 29 April) to produce a time series data set across varying snow conditions.
SnowEx23 Apr23 AVIRIS-NG Surface Spectral Reflectance V001
This data set contains surface reflectance data collected from three boreal forest study sites (Delta Junction, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) around Fairbanks, Alaska as part of the NASA SnowEx 2023 field campaign. Data was acquired using the NASA Jet Propulsion Laboratory (JPL) Airborne Visible/Infrared Imaging Spectrometer – Next Generation (AVIRIS-NG) sensor mounted on a King Air B-200 aircraft. Data collection occurred during April and May 2023.
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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.