elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas

Carstairs, Harry and Mitchard, Edward T.A. and McNicol, Iain and Aquino, Chiara and Burt, Andrew and Obiang Ebanega, Médard and Modinga Dikongo, Anaick and Bueso-Bello, José-Luis and Disney, Mathias (2022) An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas. Remote Sensing, 14 (452). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs14030452. ISSN 2072-4292.

Full text not available from this repository.

Official URL: https://www.mdpi.com/2072-4292/14/3/452

Abstract

Current satellite remote sensing methods struggle to detect and map forest degradation, which is a critical issue as it is likely a major and growing source of carbon emissions and biodiveristy loss. TanDEM-X InSAR phase height is a promising variable for measuring forest disturbances, as it is closely related to the mean canopy height, and thus should decrease if canopy trees are removed. However, previous research has focused on relatively flat terrains, despite the fact that much of the world's remaining tropical forests are found in hilly areas, and this inevitably introduces artifacts in sideways imaging systems. In this paper, we find a relationship between InSAR phase height and aboveground biomass change in four selectively logged plots in a hilly region of central Gabon. We show that minimising multilooking prior to the calculation of InSAR phase height on a pixel-by-pixel basis. This shows that TanDEM-X InSAR can measure the magnitude of degradation, and that topographic effects can be mitigated if data from multiple SAR viewing geometries are available.

Item URL in elib:https://elib.dlr.de/148578/
Document Type:Article
Title:An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Carstairs, HarryUNSPECIFIEDhttps://orcid.org/0000-0002-1214-9414
Mitchard, Edward T.A.UNSPECIFIEDhttps://orcid.org/0000-0002-5690-4055
McNicol, IainUNSPECIFIEDUNSPECIFIED
Aquino, ChiaraUNSPECIFIEDUNSPECIFIED
Burt, AndrewUNSPECIFIEDUNSPECIFIED
Obiang Ebanega, MédardUNSPECIFIEDUNSPECIFIED
Modinga Dikongo, AnaickUNSPECIFIEDUNSPECIFIED
Bueso-Bello, José-LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186
Disney, MathiasUNSPECIFIEDUNSPECIFIED
Date:18 January 2022
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI:10.3390/rs14030452
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:InSAR; TanDEM-X; forest degradation; biomass change; synthetic aperture radar; SAR; carbon cycle; satellite data; earth observation; DLR; X-band
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Bueso Bello, Jose Luis
Deposited On:02 Feb 2022 11:48
Last Modified:02 Feb 2022 11:48

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.