Results 11 to 20 of about 6,907,046 (350)

The future of Earth observation in hydrology [PDF]

open access: yesHydrology and Earth System Sciences, 2017
Abstract. In just the past 5 years, the field of Earth observation has progressed beyond the offerings of conventional space-agency-based platforms to include a plethora of sensing opportunities afforded by CubeSats, unmanned aerial vehicles (UAVs), and smartphone technologies that are being embraced by both for-profit companies and individual ...
M. F. McCabe   +13 more
openaire   +7 more sources

CO-REGISTRATION OF TERRESTRIAL AND UAV-BASED IMAGES – EXPERIMENTAL RESULTS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
For many applications within urban environments the combined use of images taken from the ground and from unmanned aerial platforms seems interesting: while from the airborne perspective the upper parts of objects including roofs can be observed, the ...
M. Gerke, F. Nex, P. Jende
doaj   +1 more source

Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Nowadays, there is growing interest in applying artificial intelligence (AI) on board Earth observation (EO) satellites for time-critical applications, such as natural disaster response. However, the unavailability of raw satellite data currently hinders
Gabriele Meoni   +5 more
semanticscholar   +1 more source

Impact of tidal dynamics on diel vertical migration of zooplankton in Hudson Bay [PDF]

open access: yesOcean Science, 2020
Hudson Bay is a large seasonally ice-covered Canadian inland sea connected to the Arctic Ocean and North Atlantic through Foxe Basin and Hudson Strait. This study investigates zooplankton distribution, dynamics, and factors controlling them during open ...
V. Y. Petrusevich   +7 more
doaj   +1 more source

EXPLORING THE POTENTIALS OF UAV PHOTOGRAMMETRIC POINT CLOUDS IN FAÇADE DETECTION AND 3D RECONSTRUCTION OF BUILDINGS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The use of Airborne Laser Scanner (ALS) point clouds has dominated 3D buildings reconstruction research, thus giving photogrammetric point clouds less attention.
K. K. Mwangangi   +3 more
doaj   +1 more source

Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Earth imaging satellites are a crucial part of our everyday lives that enable global tracking of industrial activities. Use cases span many applications, from weather forecasting to digital maps, carbon footprint tracking, and vegetation monitoring ...
S. Rainjonneau   +10 more
semanticscholar   +1 more source

Use of LSTM for Sinkhole-Related Anomaly Detection and Classification of InSAR Deformation Time Series

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Sinkholes exhibit precursory deformation patterns. Such deformation patterns can be studied using InSAR time-series analysis over constantly coherent scatterrers (CCS).
Anurag Kulshrestha   +2 more
doaj   +1 more source

Generating Training Data for Deep Learning-Based Segmentation Algorithms by Projecting Existing Labels onto Additional Aerial Images [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Highly 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
doaj   +1 more source

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation [PDF]

open access: yesarXiv.org, 2022
Self-supervised pre-training bears potential to generate expressive representations without human annotation. Most pre-training in Earth observation (EO) are based on ImageNet or medium-size, labeled remote sensing (RS) datasets. We share an unlabeled RS
Yi Wang   +5 more
semanticscholar   +1 more source

An Autonomous Earth Observing Sensorweb [PDF]

open access: yes2005 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
  +7 more sources

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