Results 11 to 20 of about 158,991 (313)
A 10-year (2009-2019) surface soil moisture dataset produced based on in situ measurements collected from the Tibet-Obs [PDF]
, 2021 The Tibet-Obs consists of three regional-scale soil moisture (SM) monitoring networks, i.e. the Maqu, Naqu, and Ngari (including Ali and Shiquanhe) networks.
Zhang, Phd P. (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
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Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks [PDF]
, 2021 The dataset consist of satellite and UAV imagery. The satellite imagery was derived from the xBD dataset (published by XView2 under the CC BY-NC-SA 4.0 license).
Tilon, Drs S.M. (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente) ORCID=0000-0002-6944-3374
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, 2021 The daily rainfall is the most important and demanded input of water resources studies, challenged by typically low density and/or poor quality of in-situ observations. However, the satellite earth observation, through freely available web-based products,
Gebremedhin, M A (Faculty of Geo-information Science and Earth Observation (ITC), University of Twente) ORCID=0000-0002-2356-4883
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An Autonomous Earth Observing Sensorweb [PDF]
2005 IEEE International Conference on Systems, Man and Cybernetics, 2006 We describe a network of sensors linked by software and the Internet to an autonomous satellite observation response capability. This system of systems is designed with a flexible, modular, architecture to facilitate expansion in sensors, customization of trigger conditions, and customization of responses.
Steve A. Chien +25 more
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Satellite Earth Observation for Essential Climate Variables Supporting Sustainable Development Goals: A Review on Applications [PDF]
, 2023 Essential climate variables (ECVs) have been recognized as crucial information for achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to understand climate evolution, and multiple rely on satellite Earth observation ...
Daniela Ballari +7 more
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Generating Training Data for Deep Learning-Based Segmentation Algorithms by Projecting Existing Labels onto Additional Aerial Images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesHighly accurate manually-generated labels in aerial and satellite images are used for the training of deep learning-based segmentation algorithms and should be available in large numbers and cover many different scenarios to increase the accuracy and ...
F. Kurz +8 more
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Crisis in Earth Observation [PDF]
Science, 2007 Satellite sensors have been imaging Earth9s land surface, oceans, and ice fields since the early 1970s. The data sets derived from these observations have chronicled transformations on the planet9s surface, ranging from urban sprawl to tropical deforestation, covering even the most remote regions of the globe. Scientists in the United States, supported
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IceLines – A new data set of Antarctic ice shelf front positions
Scientific Data, 2023 The frontal position of an ice shelf is an important parameter for ice dynamic modelling, the computation of mass fluxes, mapping glacier area change, calculating iceberg production rates and the estimation of ice discharge to the ocean.
Celia A. Baumhoer +3 more
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Revista de Teledetección, 2016 El proceso de validación es fundamental en teledetección para garantizar la calidad de los productos obtenidos a partir de las observaciones de satélite.
C. Latorre-Sánchez +5 more
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Biological Earth observation with animal sensors [PDF]
Trends in Ecology & Evolution, 2022 Space-based tracking technology using low-cost miniature tags is now delivering data on fine-scale animal movement at near-global scale. Linked with remotely sensed environmental data, this offers a biological lens on habitat integrity and connectivity for conservation and human health; a global network of animal sentinels of environmental change.
Jetz, Walter +205 more
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