Description
To help increase understanding of synthetic aperture radar (SAR) and promote its use as a powerful tool for terrestrial ecologists, ASF offers examples of data that can be used for a variety of purposes. The data are subsets for selected field sites — such as flux tower locations — from the PALSAR (Phased Array L-band Synthetic Aperture Radar) sensor flown on the Advanced Land Observing Satellite (ALOS). This dataset provides SAR images for 42 selected sites from various terrestrial-ecology and meteorological-monitoring networks, including FLUXNET, AmeriFlux, Long Term Ecological Research (LTER), and the Greenland Climate Network (GC-Net).
Click to view Figure 1: SAR images for (a) Walker Branch Watershed, Tennessee, and (b) Niwot Ridge, Colorado, sites. In SAR visualizations for land use, green usually represents tree canopy, pink is crop or barren soil, black is water, and grays are low vegetation. The star icon indicates the location of the field site.
Terrestrial Ecology Overview
The Terrestrial Ecology products were created using ALOS PALSAR data. To make the SAR scenes more user friendly, the polarization data was classified as reds, greens, and blues in the image. The ranging data are terrain-corrected by a process that assigns the ranging values to geographic coordinates by utilizing a digital surface model (DSM). High-resolution DSM data are not available for the entire planet and existing data at high latitudes is problematic, especially in areas of very little terrain relief, such as sheet glaciers. To use a consistent DSM for this project and all of the sites being investigated, the DSM data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imaging instrument was used for the terrain correction.
The Terrestrial Ecology products are offered in a GeoTIFF format in Universal Transverse Mercator (UTM) projection and 15-meter resolution. Each scene is available in GeoTIFF format with an XML file containing metadata. A PDF document file is also available for each site and contains image-specific metadata, image analysis notes about channel assignments and colors, and a thumbnail of the SAR image. For sites with multiple images, only one thumbnail is included as images are quite similar in appearance.
Collection Boundaries
(All latitude and longitude given in decimal degrees)
Westernmost Longitude | Easternmost Longitude | Northernmost Latitude | Southernmost Latitude |
---|---|---|---|
-156.665 | -29.9997 | 78.5266 | -10.7618 |
Temporal Coverage
SAR subsets were extracted for the dates shown in the table below. The exact time of the image is included in the documentation. The selected sites, the name of their respective compressed image files, the date(s), and projections of the SAR subset image(s) are provided.
Site Name | Site Number | Image Date(s) | Image Projection |
---|---|---|---|
Arctic LTER (ARC1) | 789 | 7/11/2010 | WGS84, UTM, Zone 6N |
Baltimore Ecosystem Study (BES1) | 945 | 7/28/2009 | WGS84, UTM, Zone 18N |
Bartlett Experimental Forest | 823 | 2007/07/20, 2007/09/04, 2007/10/20, 2008/06/06, 2009/07/25, 2009/10/25, 2010/07/28, 2010/09/12, 2010/10/28 | WGS84, UTM, Zone 19N |
BOREAS NSA — Old Black Spruce | 234 | 9/24/2010 | WGS84, UTM, Zone 14N |
BOREAS SSA — Young Aspen | 285 | 7/19/2010 | WGS84, UTM, Zone 13N |
British Columbia — Campbell River — Clearcut Site | 121 | 6/5/2010 | WGS84, UTM, Zone 10N |
British Columbia — Campbell River — Mature Forest Site | 120 | 6/5/2010 | WGS84, UTM, Zone 10N |
Buffalo13 ESE — SDSU Antelope Research Station (Calving Pasture Site) | 1060 | 10/2/2010 | WGS84, UTM, Zone 13N |
Cascades/H.J. Andrews LTER — Oregon | 809 | 10/25/2008 | WGS84, UTM, Zone 10N |
Chamela Biological Station | 644 | 10/10/2010 | WGS84, UTM, Zone 13N |
CP1 | 2723 | 11/10/2009 | WGS84, UTM, Zone 23N |
Duke Forest Hardwoods | 868 | 9/25/2010 | WGS84, UTM, Zone 17N |
Harvard Forest EMS Tower (HFR1) | 886 | 2007/08/23, 2010/08/31, 2010/10/16 | WGS84, UTM, Zone 18N |
HJ Andrews Aeronet Sunphotometer (AND1) | 1033 | 10/25/2010 | WGS84, UTM, Zone 10N |
Howland Forest (Main Tower) | 890 | 10/18/2010 | WGS84, UTM, Zone 19N |
Humboldt Gl. | 2731 | 6/29/2010 | WGS84, UTM, Zone 21N |
Juniper Woodland Site | 1050 | 7/20/2010 | WGS84, UTM, Zone 12N |
KULU | 2738 | 2008/05/21, 2008/07/06, 2008/08/21 | WGS84, UTM, Zone 24N |
Lost Creek | 931 | 10/8/2010 | WGS84, UTM, Zone 15N |
Luquillo LTER (LUQ1) | 681 | 10/11/2010 | WGS84, UTM, Zone 20N |
Metolius Eyerly Burn | 954 | 6/29/2010 | WGS84, UTM, Zone 10N |
Metolius Intermediate Pine | 955 | 6/29/2010 | WGS84, UTM, Zone 10N |
Missouri Ozark Site | 967 | 8/4/2010 | WGS84, UTM, Zone 15N |
NASA-E | 2727 | 12/23/2009 | WGS84, UTM, Zone 25N |
NGRIP | 2729 | 6/29/2010 | WGS84, UTM, Zone 23N |
Niwot Ridge (LTER NWT1) | 997 | 2007/06/05, 2007/07/21, 2007/10/21, 2008/06/07, 2009/07/26, 2010/06/13, 2010/07/29, 2010/10/29, 2010/12/14 | WGS84, UTM, Zone 13N |
Park Falls | 1036 | 10/8/2010 | WGS84, UTM, Zone 15N |
Phillips Creek Marsh (PHCK) | 1091 | 10/31/2010 | WGS84, UTM, Zone 18N |
Rond. — Faz. Nossa Senhora-Ji Parana — Pasture | 71 | 10/21/2010 | WGS84, UTM, Zone 20S |
Rond. — Rebio Jaru Ji Parana — Tower B | 73 | 7/17/2010 | WGS84, UTM, Zone 20S |
Santarem — Km77 Pasture | 84 | 2007/06/12, 2008/05/30, 2009/06/18, 2009/08/03, 2010/06/21, 2010/07/21, 2010/08/06, 2010/11/06 | WGS84, UTM, Zone 21S |
Sask — SSA Old Aspen | 258 | 11/5/2010 | WGS84, UTM, Zone 13N |
Sask — SSA Old Jack Pine | 260 | 10/31/2010 | WGS84, UTM, Zone 13N |
Sioux Falls Portable | 2755 | 2010/03/20, 2010/06/29, 2010/07/16, 2010/08/31, 2010/10/16, 2010/12/01 | WGS84, UTM, Zone 14N |
Sky Oaks | 1067 | 11/18/2009 | WGS84, UTM, Zone 11N |
Summit | 2741 | 1/23/2010 | WGS84, UTM, Zone 24N |
Swiss Camp | 2742 | 1/5/2010 | WGS84, UTM, Zone 22N |
Tablelands Juniper Savanna | 2712 | 9/18/2010 | WGS84, UTM, Zone 13N |
Tonzi Ranch | 1078 | 9/17/2010 | WGS84, UTM, Zone 10N |
Valles Caldera Mixed Conifer | 2715 | 10/5/2010 | WGS84, UTM, Zone 13N |
Walker Branch Watershed | 1096 | 10/27/2010 | WGS84, UTM, Zone 16N |
Western Peatland — LaBiche-Black Spruce/Larch Fen | 292 | 9/23/2010 | WGS84, UTM, Zone 12N |
Terrestrial Ecology Products
Data Uses
The data can be used for a number of purposes (1) to validate the SAR measurements using flux tower site characterization data; (2) to examine the impacts of vegetation dynamics on climate; (3) to understand human impacts on vegetation at a local scale; (3) to detect deforestation and forest degradation; (4) to map and differentiate growth stages and change; (5) to retrieve woody biomass and structural attributes; and (6) to characterize, map, and monitor ecoregions such as mangroves and wetlands.
More About Data Source
The SAR images are subset scenes of approximately 60 km x 70 km that include an established site in one of the monitoring networks. The spatial resolution of all scenes is 15 meters. These scenes are distributed as GeoTIFF files, with appropriate projection information defined within the file. The acquisition mode for all data is the Fine Beam Dual Polarization or FBD with the HH/HV polarization. The HH and HV channels are distributed as 3 channels to allow for an intuitive image display. The HH band is displayed in the red and blue channels, and the HV band is displayed in the green channel. The resulting images show vegetation in shades of green and barren land in shades of pink or purple. For some images only single polarization is available; these images are distributed as grayscale images.
Support Acknowledgment
The National Aeronautics and Space Administration (NASA) funded this EOSDIS Tech Infusion project as a collaboration between the ASF DAAC, the National Snow and Ice Data Center (NSIDC), and the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) in 2010.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy.
Copy Citation
Data Center Citation
Citing Terrestrial Ecology Dataset and Imagery
Cite datasets in publications such as journal papers, articles, presentations, posters, and websites. Please send copies of, or links to, published works citing data, imagery, or tools accessed through ASF to uso@asf.alaska.edu with “New Publication” on subject line.
Also see ALOS PALSAR Citation Information.
Format | Example |
---|---|
Dataset: SAR Subsets for Selected Field Sites, ASF DAAC, ORNL DAAC, 2010. Retrieved from] ASF DAAC [day month year of data access]. Includes Material © JAXA/METI [year of data acquisition]. | Dataset: SAR Subsets for Selected Field Sites, ASF DAAC, ORNL DAAC, 2010. Retrieved from ASF DAAC 11 June 2015. Includes Material © JAXA/METI 2007. |
Strengths and Limitations
The Terrestrial Ecology products were created using ALOS PALSAR data. To make the SAR scenes more user friendly, the polarization data was classified as reds, greens, and blues in the image. The ranging data are terrain-corrected by a process that assigns the ranging values to geographic coordinates by utilizing a digital surface model (DSM). High-resolution DSM data are not available for the entire planet and existing data at high latitudes is problematic, especially in areas of very little terrain relief, such as sheet glaciers. To use a consistent DSM for this project and all of the sites being investigated, the DSM data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imaging instrument was used for the terrain correction.
The data can be used for a number of purposes: (1) to validate the SAR measurements using flux tower site characterization data; (2) to examine the impacts of vegetation dynamics on climate; (3) to understand human impacts on vegetation at a local scale; (3) to detect deforestation and forest degradation; (4) to map and differentiate growth stages and change; (5) to retrieve woody biomass and structural attributes; and (6) to characterize, map and monitor ecoregions such as mangroves and wetlands.
Satellite radar can be important to Earth system monitoring because the properties of the signal return are better suited for certain vegetative biophysical estimates and are more accurate or not otherwise obtainable by passive remote sensing systems. A number of studies have shown a significant relationship between L-Band SAR backscatter coefficients and forest structure parameters including above-ground biomass and vegetative structural attributes. Other examples of terrestrial applications include wetland characterization, mapping, and monitoring forest change analysis.
The PALSAR subsets provided in this data set might be useful for visual interest and preliminary analysis of the field area. For in-depth analyses, such as biomass estimation, vegetation characterization, etc., users might have to download the lower level products from ASF.