--- cited_by: [] datasets: - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This data set consists of land cover classification data derived from satellite imagery as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). Images from the RADARSAT-2, Système Pour l'Observation de la Terre (SPOT-4), and DMC International Imaging Ltd (DMCii) of the study area were retrieved for the summer of 2012. The land use classification image provides information about vegetation present in the study area at a resolution of 20 meters." description_attribution: http://nsidc.org/data/smap/index.html doi: 10.5067/4FRNSHRF3TRY end_time: 2012-07-19T00:00:00 identifier: nasa-nsidcdaac-sv12lc lat_max: 50.21 lat_min: 49.31 lon_max: -98.27 lon_min: -98.97 name: SMAPVEX12 Land Cover Classification Map native_id: SV12LC processing_level: ~ publication_year: ~ release_dt: 2014-06-12T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 2012-06-07T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-nsidcdaac-sv12lc url: http://nsidc.org/data/SV12LC variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The Vegetation Water Content (VWC) Map for the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12) was derived by calculating Normalized Difference Water Index (NDWI) from SPOT and RapidEye satellite overpasses. In addition, samples from a range of vegetation types were used to compare VWC and NDVI to the satellite imagery.' description_attribution: http://nsidc.org/data/smap/index.html doi: 10.5067/4C7MN0KJILTI end_time: 2012-07-19T00:00:00 identifier: nasa-nsidcdaac-sv12vwc lat_max: 50.17 lat_min: 49.31 lon_max: -97.36 lon_min: -98.74 name: SMAPVEX12 Vegetation Water Content Map native_id: SV12VWC processing_level: ~ publication_year: ~ release_dt: 2014-06-12T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 2012-05-14T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-nsidcdaac-sv12vwc url: http://nsidc.org/data/SV12VWC variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: 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 Earth’s surface and a methodology designed to directly measure the biophysical variables of interest at proper spatial and temporal scales.' description_attribution: http://daac.ornl.gov//LAND_VAL/guides/Fernandes_LAI_Valeri.html doi: 10.3334/ORNLDAAC/829 end_time: 2003-08-19T00:00:00 identifier: nasa-ornldaac-829 lat_max: 45.394 lat_min: 45.3671 lon_max: -75.1979 lon_min: -75.2364 name: 'Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada' native_id: LAI_MAPS_30M_VALERISITE processing_level: ~ publication_year: ~ release_dt: 2006-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 2003-05-08T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-829 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=829 variables: ~ version: ~ vertical_extent: ~ href: https://data.globalchange.gov/platform/satellite-pour-lobservation-de-la-terre-4/instrument/high-resolution-visible-and-infra-red.yaml instrument_identifier: high-resolution-visible-and-infra-red location: ~ platform_identifier: satellite-pour-lobservation-de-la-terre-4 uri: /platform/satellite-pour-lobservation-de-la-terre-4/instrument/high-resolution-visible-and-infra-red