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Fast Monitoring of Amazonas Deforestation by combining Sentinel-1 and TanDEM-X Interferometric SAR Data

Rizzoli, Paola and Pulella, Andrea and Sica, Francescopaolo and Bueso Bello, Jose Luis and Martone, Michele and Zink, Manfred (2018) Fast Monitoring of Amazonas Deforestation by combining Sentinel-1 and TanDEM-X Interferometric SAR Data. ForestSAT 2018, Washington, D.C., USA.

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Abstract

The Amazon rainforest plays a paramount role in the Earth’s ecosystem. It helps regulating carbon dioxide levels in the atmosphere, it is a large repository of biodiversity, and a shelter for many native local tribes. In the last decades, illegal deforestation has drastically increased, threatening its delicate ecosystems and strongly influencing climate changes. An up-to-date and fast assessment and monitoring of forest resources is therefore of crucial importance. Given the huge extend of the Amazon basin, spaceborne remote sensing represents a unique instrument for providing consistent, timely, and high-resolution products at a global scale, without need for on ground activities. Moreover, rainforests are almost completely hidden from optical sensors by a consistent clouds coverage during the wet season, which can last up to six months per year. Synthetic aperture radar (SAR), with its capability to acquire data independently from weather or day-light conditions, is therefore the most suitable technique to achieve such a high demanding task. In this paper, we present a novel approach to monitor the evolution of deforested areas in the Amazon rainforest, by combining Sentinel-1 and TanDEM-X interferometric SAR data. The idea is firstly to exploit the large coverage and short revisit time provided by the constellation of Sentinel-1 satellites in order to cover the entire arch of deforestation at regular temporal intervals. The goal is here to discriminate forest/non-forest by exploiting C-band backscatter signatures in dual polarization and the evolution in time of the interferometric coherence, in order to identify the so-called deforestation hot-spots: local areas characterized by a significant amount of on-going deforestation activities. Secondly, high-resolution time series of bistatic TanDEM-X data can be acquired over these hot spots with a revisit time of 11 days, and used to track fast changes at small scales, aiming at identifying specific on-going deforestation activities. In this case, the unique ability of TanDEM-X to generate interferometric coherences, which are temporal decorrelation-free, allows for an accurate isolation of the decorrelation contribution caused by volume scattering, which is a stable and reliable indicator of the presence of vegetation on ground. The preliminary results are very encouraging, and aim at verifying the feasibility of the development of a semiautomatic tool for a reliable monitoring of on-going deforestation, which could support governmental authorities in stopping illegal deforestation activities. In the final paper, we intent to present the acquisition concept and the developed algorithms for performing forest classification and change detection.

Item URL in elib:https://elib.dlr.de/120535/
Document Type:Conference or Workshop Item (Speech)
Title:Fast Monitoring of Amazonas Deforestation by combining Sentinel-1 and TanDEM-X Interferometric SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Pulella, Andreaandrea.pulella (at) dlr.deUNSPECIFIED
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599
Zink, Manfredmanfred.zink (at) dlr.dehttps://orcid.org/0000-0002-4308-5636
Date:2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Forest Detection, Deforestation monitoring, SAR, TanDEM-X, Sentinel-1, Interferometry
Event Title:ForestSAT 2018
Event Location:Washington, D.C., USA
Event Type:international Conference
Organizer:University of Maryland, NASA
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 - Projekt TanDEM-X
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Rizzoli, Paola
Deposited On:27 Jun 2018 11:22
Last Modified:24 Oct 2018 10:27

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