Bueso Bello, Jose Luis and Rizzoli, Paola and Martone, Michele and Gonzalez, Carolina (2018) Potentials of TanDEM-X Forest/Non-forest Map for Change Detection. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4217-4220. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spain. doi: 10.1109/igarss.2018.8517867.
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Abstract
For the TanDEM-X digital elevation model, with a Resolution of 12 m x 12 m, two global acquisitions and up to 10 images over difficult terrain have been acquired. From such acquisitions, the TanDEM-X Forest/Non-Forest Map has been generated by mosaicking more than 500,000 quicklook images with 50 m x 50 m resolution. Such an amount of data can be further exploited to investigate the potentials of the TanDEM-X Forest/Non-Forest Map for change detection, adding a new layer and valuable information to this product. At a local scale, TanDEM-X full resolution images, with 12 m x 12 m interferometric resolution, can be used for forest monitoring applications. High resolution allows for an increase of detail in Forest/Non-Forest classification. By associating the height information, provided by the digital elevation model with the forest or non-forest information, provided by the Forest/Non-Forest Map, it is possible to detect changes due to deforestation activities as well as changes due to forest degradation caused by natural phenomena, such as fires or storms. This paper addresses the Investigation and first results of the potentials of TanDEM-X products for change detection purposes and the possibilities offered by TanDEM-X high-resolution images for forest monitoring.
Item URL in elib: | https://elib.dlr.de/119820/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Additional Information: | ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | ||||||||||||||||||||
Title: | Potentials of TanDEM-X Forest/Non-forest Map for Change Detection | ||||||||||||||||||||
Authors: |
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Date: | July 2018 | ||||||||||||||||||||
Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
DOI: | 10.1109/igarss.2018.8517867 | ||||||||||||||||||||
Page Range: | pp. 4217-4220 | ||||||||||||||||||||
Publisher: | IEEE | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Synthetic Aperture Radar (SAR), Interferometric SAR, Digital Elevation Model (DEM), Deforestation, Forest monitoring, Forest Degradation, REDD+ | ||||||||||||||||||||
Event Title: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Event Location: | Valencia, Spain | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Dates: | 2018-07-22 - 2018-07-27 | ||||||||||||||||||||
Organizer: | IEEE | ||||||||||||||||||||
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 May 2018 10:43 | ||||||||||||||||||||
Last Modified: | 24 Jul 2023 11:44 |
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