Zobrazeno 1 - 10
of 90
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:
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
Publikováno v:
Remote Sensing, Vol 6, Iss 3, Pp 2572-2600 (2014)
Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric stability, as well as high relative and absolute accuracy. For this purpose, a new methodology for
Externí odkaz:
https://doaj.org/article/47a0263278834474bdcd45ef3f25c027
Publikováno v:
Remote Sensing, Vol 6, Iss 1, Pp 841-856 (2014)
Mountain chains of Central Asia host a large number of glaciated areas that provide critical water supplies to the semi-arid populated foothills and lowlands of this region. Spatio-temporal variations of glacier flows are a key indicator of the impac
Externí odkaz:
https://doaj.org/article/284c81533a42415ca313dce6fd12ff3d
Autor:
Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Hermann Kaufmann, Daniel Doktor, Angela Lausch, Karl Segl, Mathias Bochow, Daniel Spengler, Christian Rogaß
Publikováno v:
Sensors, Vol 11, Iss 6, Pp 6370-6395 (2011)
The analysis of hyperspectral images is an important task in Remote Sensing. Foregoing radiometric calibration results in the assignment of incident electromagnetic radiation to digital numbers and reduces the striping caused by slightly different re
Externí odkaz:
https://doaj.org/article/1414b4879d2348b2b261a41c3fdc88e6
Publikováno v:
Remote Sensing, Vol 9, Iss 9, p 943 (2017)
Large areas in southern Kyrgyzstan are subjected to high and ongoing landslide activity; however, an objective and systematic assessment of landslide susceptibility at a regional level has not yet been conducted. In this paper, we investigate the con
Externí odkaz:
https://doaj.org/article/6f9220c0a51d453bbcc13ccd77eaea02
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