Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Sigrid Roessner"'
Autor:
Wandi Wang, Mahdi Motagh, Zhuge Xia, Simon Plank, Zhe Li, Aiym Orynbaikyzy, Chao Zhou, Sigrid Roessner
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103795- (2024)
Determining the timing of landslide occurrence is crucial for establishing an accurate, comprehensive and systematic landslide inventory while assessing the potential for reducing landslide risk. Unfortunately, many existing landslide inventories lac
Externí odkaz:
https://doaj.org/article/6151eee5ea484a309d7c51dfdf8b65cd
Autor:
Robert Behling, Sigrid Roessner, Saskia Foerster, Peyman Saemian, Mohammad J. Tourian, Tanja C. Portele, Christof Lorenz
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-22 (2022)
Abstract Iran has experienced a drastic increase in water scarcity in the last decades. The main driver has been the substantial unsustainable water consumption of the agricultural sector. This study quantifies the spatiotemporal dynamics of Iran’s
Externí odkaz:
https://doaj.org/article/193dbe7053fb4bdb9e3e75e744ee0003
Autor:
Thoralf Dietrich, Eva P.S. Eibl, Eyjólfur Magnússon, Daniel Binder, Sebastian Heimann, Sigrid Roessner
Understanding the spatiotemporal details in the occurrence of jökulhlaups, also referred to as glacier lake outburst floods (GLOFs), is important for improving early warning and forecasting future events. Jökulhlaups occur in many different glacier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa79f65c49ce27dc3537b2e786f5ab6b
https://doi.org/10.5194/egusphere-egu23-12687
https://doi.org/10.5194/egusphere-egu23-12687
Landslide displacement prediction is an essential component in landslide early warning system. The displacement prediction based on in-suit monitoring performs excellently but is expensive, which limited its promotion in less-developing regions. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70f1fefbf4264cf70cf8abf225f7ed7
https://doi.org/10.5194/egusphere-egu23-9229
https://doi.org/10.5194/egusphere-egu23-9229
With the avalanche of satellite remote sensing sensors, significant efforts have been made to develop methods to integrate optical and SAR remote sensing efficiently to quantify the kinematics and lifecycle of landslides. In this study, we design a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9f6db072e20ceee18770d5e95bd207
https://doi.org/10.5194/egusphere-egu23-9298
https://doi.org/10.5194/egusphere-egu23-9298
Shallow landslides and debris flows triggered by high-intensity continuous precipitation are widespread in the western part of Hubei province, China. Studies have also shown that most of the landslides in western Hubei belong to the category of slow-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25777f0119b7c2a5ecb056ee8e305c3c
https://doi.org/10.5194/egusphere-egu23-10116
https://doi.org/10.5194/egusphere-egu23-10116
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
A massive landslide often causes long-lasting instability dynamics that need to be analyzed in detail for risk management and mitigation. Multiple satellite remote sensing observations, in-situ measurements, and geophysical approaches have been joint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bcbc2aef7ca8d201090bfecf2678380
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014757
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014757
Autor:
Kanayim Teshebaeva, Sigrid Roessner, Helmut Echtler, Mahdi Motagh, Hans-Ulrich Wetzel, Bolot Molodbekov
Publikováno v:
Remote Sensing, Vol 7, Iss 7, Pp 8973-8994 (2015)
This study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based
Externí odkaz:
https://doaj.org/article/4bb248b426794f74b1c3cc904d55cc6f
Publikováno v:
Remote Sensing, Vol 6, Iss 9, Pp 8026-8055 (2014)
In the past, different approaches for automated landslide identification based on multispectral satellite remote sensing were developed to focus on the analysis of the spatial distribution of landslide occurrences related to distinct triggering event
Externí odkaz:
https://doaj.org/article/9f5a902b730444dab14400e33e8bd727