Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Johannes Balling"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 103994- (2024)
Precise and prompt information on forest disturbances in the tropics is critical to support law enforcement and protect tropical forests. In 2023, medium resolution ALOS-2 ScanSAR data (∼100 m spatial resolution) was made available for Southeast As
Externí odkaz:
https://doaj.org/article/981f9afeb62b4abda9ad164562bbaa70
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103492- (2023)
Spatially and timely accurate information about tropical forest disturbances is crucial for tracking critical forest changes, supporting forest management, and enabling law enforcement activities. In recent years, forest disturbance monitoring and al
Externí odkaz:
https://doaj.org/article/585ddc30517f40648b49300feee3e1f8
Autor:
Johannes Reiche, Johannes Balling, Amy Hudson Pickens, Robert N Masolele, Anika Berger, Mikaela J Weisse, Daniel Mannarino, Yaqing Gou, Bart Slagter, Gennadii Donchyts, Sarah Carter
Publikováno v:
Environmental Research Letters, Vol 19, Iss 5, p 054011 (2024)
Satellite-based near-real-time forest disturbance alerting systems have been widely used to support law enforcement actions against illegal and unsustainable human activities in tropical forests. The availability of multiple optical and radar-based f
Externí odkaz:
https://doaj.org/article/a415d09ce4ac4e15b08777badbcbec55
Autor:
Yaqing Gou, Johannes Balling, Veronique De Sy, Martin Herold, Wanda De Keersmaecker, Bart Slagter, Adugna Mullissa, Xiaocheng Shang, Johannes Reiche
Publikováno v:
Environmental Research Letters, Vol 17, Iss 4, p 044044 (2022)
Analysis of forest disturbance patterns in relation to precipitation seasonality is important for understanding African tropical forest dynamics under changing climate conditions and different levels of human activities. Newly available radar-based f
Externí odkaz:
https://doaj.org/article/010569c964714f6fb54c198f7c1a7fda
Autor:
Adugna Mullissa, Andreas Vollrath, Christelle Odongo-Braun, Bart Slagter, Johannes Balling, Yaqing Gou, Noel Gorelick, Johannes Reiche
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1954 (2021)
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications. In th
Externí odkaz:
https://doaj.org/article/103f5e1094994facba05434cdd914e81
Publikováno v:
Forests, Vol 12, Iss 4, p 456 (2021)
Tropical forest disturbances linked to fire usage cause large amounts of greenhouse gas (GHG) emissions and environmental damages. Supporting precise GHG estimations and counteracting illegal fire usages in the tropics require timely and thematically
Externí odkaz:
https://doaj.org/article/cf49d8da55e745c382911647f3dfd51c
Cloud penetrating Synthetic Aperture Radar (SAR) imagery has proven effective for tropical forest monitoring at national and pan-tropical scales. Current SAR-based disturbance detection methods rely on identifying decreased post-disturbance backscatt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::118e8c943ba1587a36390327627e46c2
https://doi.org/10.5194/egusphere-egu23-3434
https://doi.org/10.5194/egusphere-egu23-3434
Autor:
Yaqing Gou, Johannes Reiche, Bart Slagter, Christelle Odongo-Braun, Andreas Vollrath, Johannes Balling, Adugna G. Mullissa, Noel Gorelick
Publikováno v:
Remote Sensing 13 (2021) 10
Remote Sensing, 13(10)
Remote Sensing, Vol 13, Iss 1954, p 1954 (2021)
Remote Sensing, 13(10)
Remote Sensing, Vol 13, Iss 1954, p 1954 (2021)
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2edc8c010be617a0c6e10e753841bb9f
https://research.wur.nl/en/publications/sentinel-1-sar-backscatter-analysis-ready-data-preparation-in-goo
https://research.wur.nl/en/publications/sentinel-1-sar-backscatter-analysis-ready-data-preparation-in-goo
Autor:
Maria Rizzo, Nicola Puletti, Dario Papale, Piermaria Corona, Gaia Vaglio Laurin, John Truckenbrodt, Marcel Urban, Walter Mattioli, Johannes Balling
Publikováno v:
Journal of Applied Remote Sensing
The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground biomass (AGB) at the provincial level in a Mediterranean forested landsc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c01f02379f899808c1b4a30a5d4f3ee4
https://doi.org/10.1117/1.jrs.12.016008
https://doi.org/10.1117/1.jrs.12.016008