220 Hits in 12.4 sec

Does Sentinel-1A Backscatter Capture the Spatial Variability in Canopy Gaps of Tropical Agroforests? A Proof-of-Concept in Cocoa Landscapes in Cameroon

Frederick N. Numbisi, Frieke Van Coillie
2020 Remote Sensing  
Our results contribute a proof-of-concept in using current and future SAR images to support management tools or strategies on tree inventorying and decisions regarding incentives for shade tree retention  ...  Based on the model predictions, the VV (co-polarization) backscatter showed high importance in estimating canopy gap fraction; the VH (cross-polarized) backscatter was less sensitive to the estimated canopy  ...  For the second approach, the needed training data may also be retrieved from multi-temporal and multi-polarization SAR backscatter [61] .  ... 
doi:10.3390/rs12244163 fatcat:unq466nfmvgfrcbctcuj2pnuaa

Semantic Earth Observation Data Cubes

Hannah Augustin, Martin Sudmanns, Dirk Tiede, Stefan Lang, Andrea Baraldi
2019 Data  
We are introducing the concept of a semantic EO data cube as an advancement of state-of-the-art EO data cubes.  ...  There is an increasing amount of free and open Earth observation (EO) data, yet more information is not necessarily being generated from them at the same rate despite high information potential.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/data4030102 fatcat:wlg3at3sbneq3a55yd2q4gpz5y

A Semantic Earth Observation Data Cube for Monitoring Environmental Changes during the Syrian Conflict

Hannah Augustin, Martin Sudmanns, Dirk Tiede, Andrea Baraldi
2018 GI_FORUM - Journal for Geographic Information Science  
This study presents a proof-of-concept implementation of a generic, semantic EO data cube with automated daily integration and semantic enrichment of Sentinel-2 data.  ...  Freely and openly available, remotely-sensed Earth observation (EO) data are rapidly developing in terms of increased geo-spatial resolution and temporal frequency.  ...  Acknowledgements This research was supported by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) under the programme 'ICT of the Future' within the project SemEO (contract  ... 
doi:10.1553/giscience2018_01_s214 fatcat:opw7tzmgqfcszeyuy6jwtduuby

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  By applying an already established active learning approach based on a Support Vector Machine with relevance feedback [2], we can limit ourselves to a limited number of typical satellite images to extract  ...  The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube

Charlotte Poussin, Yaniss Guigoz, Elisa Palazzi, Silvia Terzago, Bruno Chatenoux, Gregory Giuliani
2019 Data  
In particular, this study presents a proof of concept of the preliminary version of the snow observation from space algorithm applied to Landsat data stored in the Swiss Data Cube.  ...  Temporal filtering methodology and multi-sensors analysis allows one to considerably reduce the uncertainty in the estimation of snow cover area using high-resolution sensors.  ...  Results of this publication partly rely on the Swiss Data Cube (, operated and maintained by UN Environment/GRID-Geneva, the University of Geneva, the University of Zurich  ... 
doi:10.3390/data4040138 fatcat:vxfkdug5ljejrehtliqehssmcq

A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data

Priti Upadhyay, Mikolaj Czerkawski, Christopher Davison, Javier Cardona, Malcolm Macdonald, Ivan Andonovic, Craig Michie, Robert Atkinson, Nikela Papadopoulou, Konstantinos Nikas, Christos Tachtatzis
2022 Remote Sensing  
However, a substantial amount of effort and infrastructure is still required for the generation of analysis-ready data (ARD) from the low-level products provided by the European Space Agency (ESA).  ...  The global coverage and flexibility of the framework allows users to define a specific region of interest (ROI) and time window to create geo-referenced Sentinel-1 and Sentinel-2 images, or a combination  ...  However, the generation of reliable multi-modal and multi-temporal ARD from low-level Sentinel products remains a challenge.  ... 
doi:10.3390/rs14051120 fatcat:5x7ef6p6ajhqzamqntqoptamnm

The Spatial and Spectral Resolution of ASTER Infrared Image Data: A Paradigm Shift in Volcanological Remote Sensing

Michael S. Ramsey, Ian T.W. Flynn
2020 Remote Sensing  
However, programs designed to integrate ASTER into a volcanic data sensor web have greatly improved the cadence of the data (in some cases, to as many as 3 scenes in 48 h).  ...  Despite this large archive of data, the temporal resolution of ASTER is simply not adequate to understand ongoing eruptions and assess the hazards to local populations in near real time.  ...  This combined effort of four institutions in several countries using data from numerous sensors to model and forecast lava flow advance was done as a proof of concept in order to assist the small staff  ... 
doi:10.3390/rs12040738 fatcat:pc2b4zv2s5amrpohf6cdij6s2u

D.4.2: Inventory of historical and open EO data and techniques to be used

Nikolaos Tziolas Nikolaos Tsakiridis
2021 Zenodo  
A report describing (i) the overall DIONE soil methodological framework with more emphasis to a novel methodological approach which combines satellite imagery data, soil spectral libraries and local spectral  ...  measurements based on a portable and handled Micro electronical Systems (MEMS).  ...  Description of Sentinel-2 data Sentinel-2's Multi-Spectral Instrument (MSI) features 13 spectral bands from the visible and nearinfrared (VNIR) to the short-wave infrared (SWIR), featuring four at 10 m  ... 
doi:10.5281/zenodo.5644860 fatcat:ypre242x4ve4hcrcyzt3viuj24

The Australian Geoscience Data Cube — Foundations and lessons learned

Adam Lewis, Simon Oliver, Leo Lymburner, Ben Evans, Lesley Wyborn, Norman Mueller, Gregory Raevksi, Jeremy Hooke, Rob Woodcock, Joshua Sixsmith, Wenjun Wu, Peter Tan (+17 others)
2017 Remote Sensing of Environment  
A growing number of examples demonstrate that our data cube approach allows analysts to extract rich new information from Earth observation time series, including through new methods that draw on the full  ...  spatial and temporal coverage of the Earth observation archives.  ...  Elevation is modelled with the 1-arc-second SRTM Digital Surface Model (DSM).  ... 
doi:10.1016/j.rse.2017.03.015 fatcat:7uomnzt5hnhzzjfbtl2p7s5lli

Extracting recent short-term glacier velocity evolution over Southern Alaska from a large collection of Landsat data

Bas Altena, Ted Scambos, Mark Fahnestock, Andreas Kääb
2018 The Cryosphere Discussions  
Building upon existing glacier velocity products from the GoLIVE data set (<a href="" target ="_blank"></a>), we compile a multi-temporal stack  ...  However, the reliable discovery of important glacier velocity variations on a large scale from noisy time-series of such data is still problematic.  ...  over Kronebreen and Gwenn Flowers for the AWS data over South Glacier.  ... 
doi:10.5194/tc-2018-66 fatcat:dy2zeqenbzfkrmwqjagbqnabv4

Implementing an Ensemble Convolutional Neural Network on Sentinel-1 Synthetic Aperture Radar data and Sentinel-3 Radiometric data for the detecting of forest fires

Kristian Aalling Sørensen
In this project, the Sentinel-1 SAR data and Sentinel-3 radiometric data will be used to detect forest fires using such an ECNN.  ...  An Ensemble Convolution Neural Network(ECNN) is a machine learning technique that can automatically extract features from arrays and use these features for classificationproblems.  ...  Both data from other satellites, like Sentinel-2 Multi spectral Image data, but also auxiliary data acquired e.g. on ground.  ... 
doi:10.6084/m9.figshare.14605239.v1 fatcat:kflz5o3yxfbjbokcue4rfoaxui

Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches

Angela Lausch, Erik Borg, Jan Bumberger, Peter Dietrich, Marco Heurich, Andreas Huth, András Jung, Reinhard Klenke, Sonja Knapp, Hannes Mollenhauer, Hendrik Paasche, Heiko Paulheim (+9 others)
2018 Remote Sensing  
to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability  ...  approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network.  ...  At the same time we truly appreciate the support that we received from the project "GEOEssential-Essential Variables workflows for resource efficiency and environmental management".  ... 
doi:10.3390/rs10071120 fatcat:szujtplvujaozknz2a6pa7gwwm

Combining Moderate-Resolution Time-Series RS Data from SAR and Optical Sources for Rice Crop Characterisation: Examples from Bangladesh [chapter]

Andrew Nelson, Mirco Boschetti, Giacinto Manfron, Francesco Holecz, Francesco Collivignarelli, Luca Gatti, Massimo Barbieri, Lorena Villano, Parvesh Chandna, Tri Setiyono
2014 Land Applications of Radar Remote Sensing  
This chapter provides a proof of concept for how a key staple crop can be monitored on a national scale using existing remote-sensing (RS) products that will soon be complemented and superseded by forthcoming  ...  This is followed by the aus season (sometimes referred to as early kharif), which runs from March to Land Applications of Radar Remote Sensing Combining Moderate-Resolution Time-Series RS Data from SAR  ...  We are grateful to the European Space Agency for access to the archive of ENVISAT ASAR data.  ... 
doi:10.5772/57443 fatcat:57d7mbdvevdl3chczdunkipjq4

Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data

Julia Wagemann, Oliver Clements, Ramiro Marco Figuera, Angelo Pio Rossi, Simone Mantovani
2017 International Journal of Digital Earth  
2018) Geospatial web services pave new ways for server-based on-demand access and processing of  ...  Acknowledgements No direct benefit is given to the authors from the direct application of this research.  ...  Disclosure statement No potential conflict of interest was reported by the authors.  ... 
doi:10.1080/17538947.2017.1351583 fatcat:lffkcxi4mbgdtep72ttykwqqyu

Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data [chapter]

Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian, Silvia Huber, Jan Verbesselt, Stephen D. Prince, Compton J. Tucker, Kjeld Rasmussen
2015 Remote Sensing Time Series  
We thank ECMWF, Medias France and Vito Belgium for providing their data. Acknowledgements We thank ECMWF, VITO, and IIASA for providing input data for NPP modelling.  ...  Torsten Weber, for providing evaporation data. Acknowledgements This study was funded by the EOS-Network of the Helmholtz Centres in Germany.  ...  Modification of TIMESAT to enable analysis of high-resolution data from Sentinel-2 is ongoing (Eklundh et al. 2012) .  ... 
doi:10.1007/978-3-319-15967-6_8 fatcat:2cl5kwf33zg7hl2k3syukjpa6q
« Previous Showing results 1 — 15 out of 220 results