Skip to main content

Tropical Forest Measurement by Interferometric Height Modeling and P-Band Radar Backscatter

Buy Article:

$21.50 plus tax (Refund Policy)

A new approach to tropical forest biomass monitoring with airborne interferometric X and P-band synthetic aperture radar (SAR) data is presented. Forest height, basal area, and aboveground biomass are modeled from remote sensing data for a study site in the Brazilian Amazon. Radar data quality has improved: A novel digital model of vegetation height from X- and P-band interferometry is available along with the usual P-band backscatter information. The digital vegetation height model is derived from the interferometric surface models of the ground (from P-band) and the forest canopy (from X-band). The difference between the surface models is called “interferometric height,” and is used as a measure of vegetation height. Interferometric height is shown to relate to a subset of the forest trees that changes according to the forest successional stages. The suitability of radar backscatter and interferometric height as a means for forest and biomass monitoring was explored by relating forest parameters as measured in the field to remote sensing data. Basal area and biomass were related to radar backscatter with limited precision of r 2 = 0.19 and r 2 = 0.34, respectively. Mean forest height is shown to relate to interferometric height with good precision (r 2 = 0.83, RMSE = 4.1 m). A statistical model for forest biomass as a function of both P-band backscatter and interferometric height information not only arrives at high values of precision (with r 2 = 0.89 and a RMSE from cross-validation of only 46.1 t/ha), but also overcomes the well-known issue of backscatter saturation. This research shows that tropical forest biomass can be quantified and mapped over large areas for a range of forest structures with reasonably tight and similar errors. FOR. SCI. 51(6):585–594.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Amazon; P-band; backscatter saturation; biomass; environmental management; forest; forest height; forest management; forest resources; forestry; forestry research; forestry science; interferometric height; natural resource management; natural resources; radar

Document Type: Regular Article

Affiliations: 1: National Institute for Space Research (INPE) University of California at Berkeley Present address: Biometry Department University of Freiburg Tennenbacher Strasse 4 Freiburg Brsg Germany 79085 Phone: +49 (761) 203-8652;, Fax: +49 (761) 203-3751, Email: [email protected] 2: National Institute for Space Research (INPE) Av. dos Astronautas 1758 São José dos Campos (SP) Brazil 12.227-010 Phone: +55 (12) 3945-6444, Email: [email protected] 3: National Institute for Space Research (INPE) Av. dos Astronautas 1758 São José dos Campos (SP) Brazil 12.227-010 Phone: +55 (12) 3945-6427, Email: [email protected] 4: National Institute for Space Research (INPE) Av. dos Astronautas 1758 São José dos Campos (SP) Brazil 12.227-010 Phone: +55 (12) 3945-6475, Email: [email protected] 5: National Institute for Space Research (INPE) Av. dos Astronautas 1758 São José dos Campos (SP) Brazil 12.227-010 Phone: +55 (12) 3945-6427, Email: [email protected]

Publication date: 2005-12-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more