Results 31 to 40 of about 25,611,997 (263)

Digital world meets urban planet – new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge

International Journal of Digital Earth, 2020
The digital transformation taking place in all areas of life has led to a massive increase in digital data – in particular, related to the places where and the ways how we live.
Thomas Esch, Hubert Asamer, Felix Bachofer, Jakub Balhar, Martin Boettcher, Enguerran Boissier, Pablo d' Angelo, Caroline M. Gevaert, Andreas Hirner, Katerina Jupova, Franz Kurz, Andy Yaw Kwarteng, Emmanuel Mathot, Mattia Marconcini, Alessandro Marin, Annekatrin Metz-Marconcini, Fabrizio Pacini, Marc Paganini, Hans Permana, Tomas Soukup, Soner Uereyen, Christopher Small, Vaclav Svaton, Julian Nils Zeidler   +23 more
doaj   +1 more source

High-resolution observations of small-scale gravity waves and turbulence features in the OH airglow layer [PDF]

Atmospheric Measurement Techniques, 2016
A new version of the Fast Airglow Imager (FAIM) for the detection of atmospheric waves in the OH airglow layer has been set up at the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR) at Oberpfaffenhofen (48.09° N, 11.28° E ...
R. Sedlak, P. Hannawald, C. Schmidt, S. Wüst, M. Bittner   +4 more
doaj   +1 more source

SPATIOTEMPORALLY IMPROVING THE RURAL ACCESS INDEX – A REMOTE SENSING BASED APPROACH [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Many countries, especially in the global south still lack the ability to effectively pursue basic policies, which can lead, in the worst case, to armed conflicts.
M. Halbgewachs, A. Schneibel, M. Gähler
doaj   +1 more source

Spatial Modelling and Prediction with the Spatio-Temporal Matrix: A Study on Predicting Future Settlement Growth

Land, 2022
In the past decades, various Earth observation-based time series products have emerged, which have enabled studies and analysis of global change processes.
Zhiyuan Wang, Felix Bachofer, Jonas Koehler, Juliane Huth, Thorsten Hoeser, Mattia Marconcini, Thomas Esch, Claudia Kuenzer   +7 more
doaj   +1 more source

Thirty-Year Analyses of Seasonal NDVI and Climatic Drivers Across Different Land Cover Types and Biogeographical Regions in Europe

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Monitoring and analyzing vegetation trends and their climatic drivers are useful to understand the possible impacts of climate change on vegetation. In this study, we analyzed normalized difference vegetation index (NDVI) trends at 1 km2 resolution for ...
Christina Eisfelder, Soner Ureyen, Sarah Asam, Andreas Hirner, Philipp Reiners, Juliane Huth, Felix Bachofer, Martin Bachmann, Stefanie Holzwarth, Claudia Kuenzer   +9 more
doaj   +1 more source

Mapping Aquaculture Ponds for the Coastal Zone of Asia with Sentinel-1 and Sentinel-2 Time Series

Remote Sensing, 2021
Asia dominates the world’s aquaculture sector, generating almost 90 percent of its total annual global production. Fish, shrimp, and mollusks are mainly farmed in land-based pond aquaculture systems and serve as a primary protein source for millions of ...
Marco Ottinger, Felix Bachofer, Juliane Huth, Claudia Kuenzer   +3 more
doaj   +1 more source

Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility

International Journal of Health Geographics, 2023
Background The negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health
Lorenza Gilardi, Mattia Marconcini, Annekatrin Metz-Marconcini, Thomas Esch, Thilo Erbertseder   +4 more
doaj   +1 more source

Selection of unlabeled source domains for domain adaptation in remote sensing

Array, 2022
—In the context of supervised learning techniques, it can be desirable to utilize existing prior knowledge from a source domain to estimate a target variable in a target domain by exploiting the concept of domain adaptation. This is done to alleviate the
Christian Geiß, Alexander Rabuske, Patrick Aravena Pelizari, Stefan Bauer, Hannes Taubenböck   +4 more
doaj   +1 more source

Preliminary Detection of Geothermal Manifestation Potential Using Microwave Satellite Remote Sensing [PDF]

, 2018
The satellite technology has developed significantly. The sensors of remote sensing satellites are in the form of optical, Microwave, and LIDAR. These sensors can be used for energy and mineral resources applications.
Nugroho, Udhi Catur, Udhi Catur Nugroho, Julzarika, Atriyon, Atriyon Julzarika   +3 more
core   +1 more source

Object-Guided Remote Sensing Image Scene Classification Based on Joint Use of Deep-Learning Classifier and Detector

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang, Weidong Yan, Weiping Ni, Xifeng Pu, Han Zhang, Maoyu Zhang   +5 more
doaj   +1 more source