Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Mike Sips"'
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3973-3986 (2023)
Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes. Interdisciplinary research is challenging since it demands the integration of scientific schemes and practices from differ
Externí odkaz:
https://doaj.org/article/2fb9d1d0f5e04f9ca25cb55086488df0
Landslides are a major type of natural hazard that cause significant human and economic losses in mountainous regions worldwide. Optical and synthetic aperture radar (SAR) satellite data are increasingly being used to support landslide investigation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda685a937f75c38bb2f2f3b4e82079c
https://doi.org/10.5194/egusphere-egu23-13292
https://doi.org/10.5194/egusphere-egu23-13292
The German-American satellite missions GRACE (Gravity Recovery and Climate Experiment, 2002-2017) and its successor GRACE-Follow-On (GRACE-FO, since 2018) observed terrestrial water storage (TWS) variations over the continents. With 20 years of data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78892fe7db92c0d4f02253755bdc00d4
https://doi.org/10.5194/gstm2022-3
https://doi.org/10.5194/gstm2022-3
Autor:
Binayak Ghosh, Shagun Garg, Mahdi Motagh, Daniel Eggert, Mike Sips, Sandro Martinis, Simon Plank
Publikováno v:
Abstracts
Floods can have devastating consequences on people, infrastructure, and the ecosystem. Satellite imagery has proven to be an efficient instrument in supporting disaster management authorities during flood events. In contrast to optical remote sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f9db54ad36ec934c895151113401a3
https://elib.dlr.de/187101/
https://elib.dlr.de/187101/
Autor:
Mike Sips, Daniel Eggert
Publikováno v:
Abstracts
We present SEVA, a scalable exploration tool that supports users in detecting land-use changes in large optical remote sensing data. SEVA addresses three current scientific and technological challenges of detecting changes in large data sets: a) the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fa6d4df1cf0bdb650429e36541195cc
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014161
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014161
Publikováno v:
Journal of Open Source Software
The success of scientific projects increasingly depends on using data analysis tools and data in distributed IT infrastructures. Scientists need to use appropriate data analysis tools and data, extract patterns from data using appropriate computation
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
This design study focuses on the analysis of a time sequence of categorical sequences. Such data is relevant for the geoscientific research field of landscape and climate development. It results from microscopic analysis of lake sediment cores. The g
Publikováno v:
Computers and Geosciences
PyRQA is a software package that efficiently conducts recurrence quantification analysis (RQA) on time series consisting of more than one million data points. RQA is a method from non-linear time series analysis that quantifies the recurrent behaviou
Publikováno v:
Computer Graphics Forum
An established approach to studying interrelations between two non-stationary time series is to compute the 'windowed' cross-correlation WCC. The time series are divided into intervals and the cross-correlation between corresponding intervals is calc