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Special Issue on Forest Structure Estimation in Remote Sensing

Dubois-Fernandez, Pascale and Fatoyinbo, Lola and Hajnsek, Irena and Saatchi, Sassan and Scipal, Klaus (2018) Special Issue on Forest Structure Estimation in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (10), pp. 3384-3385. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2018.2870266 ISSN 1939-1404

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/8474297

Abstract

FORESTS are important ecosystems to all life on Earth. They provide shelter for many flora and fauna, rich resources for anthropogenic development and an important sink in the global carbon cycle. Satellite earth observation provides a critical capacity to observe this ecosystem wall to wall. Especially, synthetic aperture radar (SAR) and Lidar technologies hold large potential to measure forest structure properties such as forest height and biomass and are consequently used in existing observation systems. In addition to the existing observation systems space agencies are implementing or planning dedicated satellite missions capitalizing on these technologies, such as ESAs BIOMASS, NASAs GEDI, and NISAR missions or DLRs Tandem-L mission concept. Despite the sensitivity of SAR and Lidar technologies to forest structure the actual interpretation of the measurements is challenging. Forest structure, environmental effects and system parameters have a confounding effect on the measurements and need to be accounted for in the biophysical parameter retrieval. The impact of these factors is often not well understood and hampers our ability to make optimum use of newly available technologies and their synergies. The most striking development in the last years was in the three-dimensional (3-D) radar data processing. The evolution and refinement of coherent multibaseline (tomographic) processing techniques dramatically increased the quality of the reconstructed 3-D radar reflectivity allowing a deeper insight in the 3-D scattering processes at different polarizations and frequencies and of the opportunities arising from this new measurement technique to monitor and investigate 3-D forest structure. This special issue collect and highlight the latest results, Digital Object Identifier 10.1109/JSTARS.2018.2870266 data processing developments and lessons learned from existing satellite data, airborne data and tower based research campaigns.

Item URL in elib:https://elib.dlr.de/123622/
Document Type:Article
Title:Special Issue on Forest Structure Estimation in Remote Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dubois-Fernandez, PascaleONERAUNSPECIFIED
Fatoyinbo, LolaNASAUNSPECIFIED
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIED
Saatchi, SassanNASA / JPLUNSPECIFIED
Scipal, KlausESA, ESTEC, Noordwijk, NetherlandsUNSPECIFIED
Date:27 September 2018
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.1109/JSTARS.2018.2870266
Page Range:pp. 3384-3385
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:synthetic aperture radar (SAR), Lidar technologies, forest height, biomass, Tandem-L,(3-D) radar data processing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Sicherheitsrelevante Erdbeobachtung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:26 Nov 2018 09:39
Last Modified:22 Dec 2018 13:06

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