Imaging · collection · 2009
LBA-ECO ND-11 Pre-harvest Forest Tree and Liana Biomass, NW Mato Grosso, Brazil: 2003
Listed in NASA Earthdata CMR and NASA Data Portal — shown once because both records carry DOI 10.3334/ornldaac/922
The purpose of this study was to determine if spatially-explicit commercial timber inventories (CTI) could be used in conjunction with satellite imagery to improve timber assessments and forest biomass estimates in Amazonia.
Description
As part of a CTI, all commercial trees >= 45 cm DBH were measured and georeferenced in 3500 ha of a logging concession in NW Mato Grosso, Brazil. A scientific inventory was conducted of all trees and palms >= 10 cm DBH in 11.1 ha of this area.
A total of > 20,000 trees were sampled for both inventories. To characterize vegetation radiance and topographic features, regional LANDSAT TM and ASTER images were obtained. Using a stream network derived from the ASTER-based 30 m digital elevation model (DEM), a procedure was developed to predict areas excluded from logging based on reduced impact logging (RIL) criteria.
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A topographic index (TI) computed from the DEM was used to identify areas with similar hydrologic regimes and to distinguish upland and lowland areas. Some timber species were associated with convergent landscape positions (i.e., higher TI values). There were significant differences in timber density and aboveground biomass (AGB) in upland (6.0 stems ha(-1), 33 Mg ha(-1)) versus lowland (5.4 stems ha(-1), 29 Mg ha(-1)) areas.
Upland and lowland, and timber and non-timber areas could be distinguished through single and principal component analysis of LANDSAT bands. However, radiance differences between areas with and without commercial timber on a sub-hectare scale were small, indicating LANDSAT images would have limited utility for assessing commercial timber distribution at this scale. Assuming a 50 m stream buffer, areas protected from logging ranged from 7% (third order streams and above) to 28% (first order and above) of the total area.
There was a strong positive relationship between AGB based on the scientific inventory of all trees and from the commercial timber, indicating that the CTI could be used in conjunction with limited additional sampling to predict total AGB (276 Mg ha(-1)). The methods developed in this study could be useful for facilitating commercial inventory practices, understanding the relationship of tree species distribution to landscape features, and improving the novel use of CTIs to estimate AGB.
Links
Get the data
- Data set Landing Page DOI URL doi.org/10.3334/ornldaac/922 ↗
landing page · download · DOI / persistent id · from NASA CMR, data nasa gov
- ORNL DAAC Data Set Documentation data.ornldaac.earthdata.nasa.gov/public/lba/nutrient_dynamics/ND11_Tree_Vine_Biomass_MT/comp/ND… ↗
documentation · download · from NASA CMR, data nasa gov
- Original Metadata cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.iso19115 ↗
download · from data nasa gov
- Collection Bundle URL data.ornldaac.earthdata.nasa.gov/protected/bundle/ND11_Tree_Vine_Biomass_MT_922.zip ↗
download · from NASA CMR
- PNG daac.ornl.gov/graphics/browse/project/square/lba_logo_square.png ↗
download · preview image · from data nasa gov, NASA CMR
- search.earthdata.nasa.gov /search/granules?p=C2777749892-ORNL_CLOUD ↗
Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data.
download · from NASA CMR
Where it is published
- NASA Data Portal dataset page data.nasa.gov/dataset/lba-eco-nd-11-pre-harvest-forest-tree-and-liana-biomas… ↗
landing page · from data nasa gov
Catalogue records · 3
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.umm_json ↗
metadata API · from NASA CMR
- CKAN API data.nasa.gov/api/3/action/package_show?id=496ce5a2-cb39-4022-a808-70c3e69a5… ↗
metadata API · from data nasa gov
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Biomass · FIELD SURVEYS · Forest Composition/Vegetation Structure · Forest Harvesting And Engineering · STEEL MEASURING TAPE · VISUAL OBSERVATIONS
- From keywords
- Astronomy & Astrophysics · Earth & Environmental Science · Engineering · Life Sciences · Ocean & Atmospheric Science · Physics
- Inferred from text
- Forestry sciences 72% · Image 65% · Satellite remote sensing 65%
Provenance · 2 source records, 25 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2777749892-ORNL_CLOUD | 13 d ago | JSON v1 |
| NASA Data Portal | 496ce5a2-cb39-4022-a808-70c3e69a51c6 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[field].anzsrc:group:3007 | enrichment · NASA CMR | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:astronomy | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:engineering | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:physics | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[instrument].gcmd_instrument:steel-measuring-tape | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[instrument].gcmd_instrument:visual-observations | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/agriculture/forest-science/forest-harvesting-and-engineering | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/biosphere/vegetation/biomass | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/biosphere/vegetation/forest-composition-vegetation-structure | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:remote-sensing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[platform].gcmd_platform:field-surveys | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| temporal | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/TemporalExtents |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| updated_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |