POTENTIALS OF TANDEM-X FOREST/NON-FOREST MAP FOR CHANGE DETECTION

被引:0
|
作者
Bello, Jose Luis Bueso [1 ]
Rizzoli, Paola [1 ]
Martone, Michele [1 ]
Gonzalez, Carolina [1 ]
机构
[1] German Aerosp Ctr DLR, Microwaves & Radar Inst, Cologne, Germany
关键词
Synthetic Aperture Radar (SAR); Interferometric SAR; Digital Elevation Model (DEM); Deforestation; Forest monitoring; Forest Degradation; REDD;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For the generation of the TanDEM-X digital elevation model (DEM), with a resolution of 12 m x 12 m, two global mappings and up to 10 coverages over difficult terrain have been acquired. From such a dataset, the global TanDEM-X Forest/Non-Forest Map has been generated by mosaicking more than 500,000 quick-look images at a resolution of 50 m x 50 m. Such a huge amount of data can be further exploited to investigate the potentials of the TanDEM-X Forest/Non-Forest Maps available at different times for change detection, adding a new layer and valuable information to this kind of products. At a local scale, TanDEM-X full resolution images, with an interferometric resolution of 12 m x 12 m, can be used for forest monitoring applications. Fine spatial resolution allows for an increase of detail in forest/non-forest classification. By combining the digital elevation information with the forest/non-forest classification, 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.
引用
收藏
页码:4213 / 4216
页数:4
相关论文
共 50 条
  • [1] TanDEM-X Global Forest/Non-Forest Map Generation
    Bueso-Bello, Jose-Luis
    Martone, Michele
    Gonzalez, Carolina
    Wecklich, Christopher
    Schulze, Daniel
    Rizzoli, Paola
    Krieger, Gerhard
    Zink, Manfred
    2017 18TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2017,
  • [2] The global forest/non-forest map from TanDEM-X interferometric SAR data
    Martone, Michele
    Rizzoli, Paola
    Wecklich, Christopher
    Gonzalez, Carolina
    Bueso-Bello, Jose-Luis
    Valdo, Paolo
    Schulze, Daniel
    Zink, Manfred
    Krieger, Gerhard
    Moreira, Alberto
    REMOTE SENSING OF ENVIRONMENT, 2018, 205 : 352 - 373
  • [3] PRODUCTION OF A GLOBAL FOREST/NON-FOREST MAP UTILIZING TANDEM-X INTERFEROMETRIC SAR DATA
    Wecklich, Christopher
    Martone, Michele
    Rizzoli, Paola
    Bueso-Bello, Jose-Luis
    Gonzalez, Carolina
    Krieger, Gerhard
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 751 - 754
  • [4] A METHOD FOR GENERATING FOREST/NON-FOREST MAPS FROM TANDEM-X INTERFEROMETRIC DATA
    Martone, Michele
    Rizzoli, Paola
    Braeutigam, Benjamin
    Krieger, Gerhard
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2634 - 2637
  • [5] Forest/Non-Forest Classification from TanDEM-X Interferometric Data by means of Multiple Fuzzy Clustering
    Martone, Michele
    Rizzoli, Paola
    Braeutigam, Benjamin
    Krieger, Gerhard
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 681 - 686
  • [6] How good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth
    Akturk, Emre
    Altunel, Arif Oguz
    Atesoglu, Ayhan
    Seki, Mehmet
    Erpay, Serdar
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 37 (05) : 1041 - 1068
  • [7] Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest
    Solberg, Svein
    Bollandsas, Ole Martin
    Gobakken, Terje
    Naesset, Erik
    Basak, Paromita
    Duncanson, Laura Innice
    REMOTE SENSING, 2024, 16 (05)
  • [8] BOREAL FOREST BIOMASS CLASSIFICATION WITH TANDEM-X
    Caicoya, Astor Torano
    Kugler, Florian
    Hajnsek, Irena
    Papathanassiou, Kostas
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3439 - 3442
  • [9] Modeling and Detection of Deforestation and Forest Growth in Multitemporal TanDEM-X Data
    Soja, Maciej J.
    Persson, Henrik J.
    Ulander, Lars M. H.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (10) : 3548 - 3563
  • [10] TanDEM-X digital surface models in boreal forest above-ground biomass change detection
    Karila, Kirsi
    Yu, Xiaowei
    Vastaranta, Mikko
    Karjalainen, Mika
    Puttonen, Eetu
    Hyyppa, Juha
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 148 : 174 - 183