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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Texture and Intensity Based Land Cover Classification in Germany from Multi-Orbit & Multi-Temporal Sentinel-L Images
摘要： Land cover information is vital for ecosystem management, to find biodiversity indicators and for sustainable development. The launch of the Sentinel-1 satellites provide large amounts of Synthetic Aperture Radar (SAR) data that can be used for the extraction and classification of land cover. This study presents a preliminary method for land cover classification using SAR amplitude and textural features and by combining multi-temporal images from ascending and descending orbits. The texture parameters contrast, entropy, homogeneity and variance were investigated. The rules of the SAR-LC classifier, designed and implemented at the Federal Agency for Cartography and Geodesy in Frankfurt, were optimised to include textual information for processing the multi-temporal SAR images. The results for land cover classification of images from 2017 for the area around Berlin in Germany are reported along with their classification efficiencies.
关键词： Land cover classification,Germany,Copernicus,Sentinel-1,object based classification,texture
更新于2025-09-23 15:21:21
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[IEEE 2018 International Conference on System Science and Engineering (ICSSE) - New Taipei City, Taiwan (2018.6.28-2018.6.30)] 2018 International Conference on System Science and Engineering (ICSSE) - Optical SAR Fusion of Sentinel-2 Images for Mapping High Resolution Land Cover
摘要： Sentinel-2 is a very new programme of the European Space Agency (ESA) that is designed for fine spatial resolution global monitoring. Land cover–land use (LCLU) classification tasks can take advantage of the fusion of radar and optical remote sensing data, leading generally to increase mapping accuracy. Here we propose a methodological approach to fuse information from the new European Space Agency Sentinel-1 and Sentinel-2 imagery for accurate land cover mapping of a portion of the South Solok region, West Sumatera. Data pre-processing was carried out using the European Space Agency’s Sentinel Application Platform and the SEN2COR toolboxes. The two main objectives of this study are to evaluate the potential use and synergetic effects of ESA Sentinel-1A C-band SAR and Sentinel-2A Optical data for classification and mapping of LCLU. As a result of the research, two main advantages. First, the pre-processing chain supported by sensor-specific toolboxes developed by ESA represents a reliable and fast approach for the preparation of ready-to-process imagery. Second, investigation to derive a methodological framework to integrate Sentinel-1 and Sentinel-2 imagery for land cover mapping by integrating of radar and optical imagery have been set up and tested.
关键词： segmentation,Sentinel-1,SAR,South Solok,Sentinel-2,land cover mapping,data fusion
更新于2025-09-23 15:21:01
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection
摘要： In this paper a new approach based on the fusion of Sentinel-1 and Sentinel-2 products to map urban change detection and to observe suburb’s development is presented. The algorithm developed can process data in a fast, automatic and accurate way. To reach this goal, the processing chain uses an iterative multitemporal approach based, for each iteration, on three procedures. The first and second ones are based on Pulse Coupled Neural Network (PCNN) applied to SAR and optical images, respectively, while the third processing is an optical multiband filter, implementing the spectral difference computation. The three outputs of each iteration are fused together by means of a weighted average formulation. The algorithm may deal with multitemporal acquisitions to improve the overall accuracy in the detection of urban changes by the integration of the outputs at different time intervals.
关键词： Sentinel-2,image fusion,global monitoring urbanization,Sentinel-1,change detection
更新于2025-09-23 15:21:01
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - An Automatic Flood Monitoring Service from Sentinel-1 SAR: Products, Delivery Pipelines, and Performance Assessment
摘要： This paper describes a collaborative effort between the University of Alaska Fairbanks and the NASA Short-term Prediction Research and Transition Center (SPoRT) to expand the use of SAR in the operational response to weather-related hazards in the U.S. Work conducted within this effort includes (1) the development of SAR-derived value-added products that can be run in fully-automatic production pipelines and generate easy-to-understand hazard information layers; (2) the design of a cloud-based production and delivery pipeline that can be initiated by an end-user and automatically delivers value-added products to data analysts; and (3) the application of the developed hazard monitoring service in operational response scenarios as well as the evaluation of its performance. In this paper, the various components of the developed service will be outlined. The application of SAR-based hazard data to a range of weather-related disaster events will be described and first findings regarding the performance of the developed services will be shared.
关键词： flooding,FEMA,hurricanes,Sentinel-1,Radar,hazard monitoring,change detection
更新于2025-09-23 15:21:01
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[IEEE 2018 Doppler Oceanography from Space (DOfS) - Brest (2018.10.10-2018.10.12)] 2018 Doppler Oceanography from Space (DOfS) - Extracting Usable Geophysical Doppler Properties from Sentinel–1 for Coastal Monitoring
摘要： In 2005, the Doppler frequency from space-borne SAR was demonstrated to contain sea surface current signature. From mid-2007 to 2012, a first Doppler frequency grid from ENVISAT ASAR was proposed by ESA for exploring this information. The OCN-RVL product from Sentinel–1 was supposed to provide a Doppler frequency with a better accuracy and resolution than ASAR. The retrieved radial surface velocity could then be directly used by the oceanographic community. However, the Doppler frequency as provided by OCN-RVL today contains a strong signal processing signature that prevents it from being usable in practice. In this paper we propose an algorithm, based on the Doppler properties over land, that is capable to cancel the signature and extract exploitable geophysical information. By making the algorithm freely available, we offer to the coastal community the means to take advantage of this information for the analysis of wind, wave, and sea current signatures, at a spatial resolution of 2 by 2 km2.
关键词： Coastal monitoring,Sentinel–1,Radial Surface Velocity
更新于2025-09-19 17:15:36
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Temporal Evolution of Corn Mass Production Based on Agro-Meteorological Modelling Controlled by Satellite Optical and SAR Images
摘要： This work aims to provide daily estimates of the evolution of popcorn dry masses at the field scale using an agro-meteorological model, named the simple algorithm for yield model combined with a water balance model (SAFY-WB), controlled by the Green Area Index (GAI), derived from satellite images acquired in the microwave and optical domains. Synthetic aperture radar (SAR) satellite information (σ? VH/VV) was provided by the Sentinel-1A (S1-A) mission through two orbits (30 and 132), with a repetitiveness of six days. The optical data were obtained from the Landsat-8 mission. SAR and optical data were acquired over one complete agricultural season, in 2016, over a test site located in the southwest of France. The results show that the total dry masses of corn can be estimated accurately (R2 = 0.92) at daily time steps due to a combination of satellite and model data. The SAR data are more suitable for characterizing the first period of crop development (until the end of flowering), whereas the optical data can be used throughout the crop cycle. Moreover, the model offers good performances in plant (R2 = 0.90) and ear (R2 = 0.93) mass retrieval, irrespective of the phenological stage. The results also reveal that four phenological stages (four to five leaves, flowering, ripening, and harvest) can be accurately predicted by the proposed approach (R2 = 0.98; root-mean-square error (RMSE) = seven days). Nevertheless, some important points must be taken into account before assimilation, namely the SAR signal must be corrected with respect to thermal noise before being assimilated, and the relationship estimated between the GAI and SAR signal must be performed over fields cultivated without intercrops. These results are unique in the literature and provide a new way to better monitor corn production over time.
关键词： remote sensing,SAR,maize,crop production,Sentinel-1,SAFY–WB
更新于2025-09-19 17:13:59
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Snow Cover Monitoring by Synergistic Use of Sentinel-3 Slstr and Sentinel-L Sar Data
摘要： The Sentinel satellite missions of the European Copernicus programme provide comprehensive data for long-term routine observations of the global environment. A key parameter for climate monitoring, hydrology and water management is the seasonal snow cover. We developed, implemented and tested a novel approach for monitoring snow extent and snowmelt area, exploiting the synergy of imaging radar of the Sentinel-1 mission and multispectral optical imagery of the SLSTR sensor on Sentinel-3. We describe the processing steps and algorithms for generating the synergistic snow cover product and show examples for snow cover maps over Europe based on single mission data as well as the final synergistic product.
关键词： Sentinel-1,snow melt area,Copernicus programme,Snow extent,Sentinel-3
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sentinel-L Mission Scientific Exploitation
摘要： The Sentinel-1 mission is a constellation of two C-band synthetic aperture imaging radars developed as a joint initiative of the European Commission (EC) and the European Space Agency (ESA) within the Copernicus Programme. ESA as one of its main objectives carries out a programme of scientific exploitation of the Sentinel-1 mission through a number of activities - R&D projects, trainings, workshops, Massive On-line Open Courses (MOOCs), as well as the development of open source toolboxes. The purpose of this paper is to provide a brief overview of the latest activities of ESA and address new opportunities within the field of scientific exploitation of Sentinel-1 mission.
关键词： Sentinel-1,Scientific Exploitation,ESA
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - A Direct Method to Estimate Atmospheric Phase Delay for Insar with Global Atmospheric Models
摘要： Differential Interferometric Synthetic Aperture Radar (DIn-SAR), also known as Persistent Scatters Interferometry (PSI), has proved its unprecedented advantages of monitoring ground deformation on large scale with centimeter to millimeter precision in the last two decades. However, the reliability and accuracy are often contaminated with atmospheric artefacts caused by spatial and temporal variations of the atmosphere. Recent studies revealed atmospheric artefacts can be compensated with empirical models, GPS zenith path delay and numerical weather prediction models. In this paper, an improved methodology is proposed based on atmospheric reanalysis data to estimate atmospheric artefacts. With our approach, the realistic line of sight (LOS) path along satellite location and monitored points is considered, rather than the zenith path delay. The effectiveness of our method is validated over Tenerife island, Spain by using Sentinel 1 datasets.
关键词： InSAR,uncertainty,Meteorology data,APS,ECMWF,atmospheric artefacts,Sentinel 1
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sentinel-1 Constellation Mission Operations Status
摘要： As part of the European Copernicus programme, the Sentinel-1 mission, based on a constellation of two SAR satellites, ensures continuity for C-band SAR observations for Europe. Both satellites have been launched from Kourou on a Soyuz rocket, Sentinel-1A on 3rd April 2014, Sentinel-1B on 25 April 2016. Following the completion of the constellation operational qualification phase, the routine operations of the constellation are on-going and performed close to the full mission and system capacity. The mission is characterized by large-scale, frequent and repetitive observations, systematic production and a free and open data distribution policy. The paper provides high-level information on the on-going mission operations. It describes at high level the system operations, incl. ground segment operational activities, as well as some user data access statistics. It presents few examples of mission results achieved since the operations of Sentinel-1A, in some key application domains.
关键词： SAR,Copernicus,Sentinel-1
更新于2025-09-10 09:29:36