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Processing large data sets on a cloud-based platform greatly reduces the costs normally associated with the required computing infrastructure due to its on-demand availability and scalability. Cloud-based computing can therefore be leveraged to speed operational delivery of large data sets to research scientists and decision-makers in an emergency response, specifically during a marine oil spill response...
The inland lake is an important part of water supplies in arid areas, which is highly sensitive to the changes of hydrological environment and human activities. Lakes located in the arid environment are more sensitive to human activities and climate changes than in other regions. Dali Lake, the important lake in the arid areas of Inner Mongolia, has important index significance. In this paper, an...
The earth is a dynamic entity that is undergoing changes all the time. However, sometimes the forces of nature cause great and drastic changes, and human beings and the effect can be disastrous. Though these disasters cannot be stopped, their damages can be minimized with proper management measures. To take up effective management and effective measures, there has to be efficient disaster assessment...
This paper presents a method for estimating the three dimensional (3D) position of Persistent Scatterers (PSs) for Persistent Scatterer Interferometric SAR (PS-InSAR) and a PS-InSAR analysis system. PSs are useful to monitor deformation of manmade structures with accuracy of millimeter range. However, SAR images include geometric distortions such as layovers or foreshortenings. These distortions cause...
SBAM (Satellite Based Agricultural Monitoring) is a project funded by Italian Space Agency in the framework of Italian-Kenya cooperation. The project has four main objectives: a) to produce an updated map of the agricultural areas for Kenya based on Landsat 8 and Sentinel 2 imagery; b) to develop an automatic monitoring system able to classify agricultural areas and detect land use changes; c) to...
UrtheCast is currently developing advanced technology for its OptiSAR™ Constellation that comprises 8 tandem pairs of SAR and Optical Satellites in two orbit planes. The OptiSAR™ mission represents a capability shift in both spaceborne remote sensing and imagery exploitation.
On the 11th of August 2012 two earthquakes within 11 minutes struck NW Iran with considerable fatalities and damages. Four Synthetic Aperture Radar (SAR) images from Wide Multi-look Fine mode of RADARSAT-2 data have been considered for rapid damage assessment through SAR interferometry processing. All images are from ascending orbits with 8 m spatial resolution. The first pair (2012.04.13 and 2012...
China launched two new spaceborne microwave sensors in August and September 2016. One is the C band multi-polarization high resolution synthetic aperture radar (SAR) on board satellite GF-3. The other is the Ku band wide swath Interferometric Imaging Radar Altimeter (InIRA) on board space laboratory TG-2. This paper gives some preliminary results for the quantitative remote sensing of ocean winds...
The Sentinel-1A and Sentinel-1B C-band Synthetic Aperture Radar (SAR) satellites provide data for European Union's Copernicus program. Norway uses SAR satellites operationally to monitor Norway's maritime areas of interest. Since 2010 satellite AIS (Automatic Identification System) from AISSat-1 and -2 have been used to get additional information about the maritime picture. The paper presents results...
Information on icebergs and ice islands is important for climate science and for various marine operations in Arctic and Antarctic. This work investigates capabilities of RADARSAT-2 polarimetric data for detection of icebergs in sea ice. Several iceberg detectors were analyzed with the full polarimetric data acquired in Fine Quad and Fine Quad Wide modes. The results of iceberg detection were validated...
This paper makes an analysis of repeat-pass bistatic synthetic aperture radar (SAR) interferometry performed with a stationary ground-based receiver and a satellite as transmitter of opportunity. A numerical approach is developed in order to asses the sensitivity of the repeat-pass across-track bistatic interferometric phase to height (relative to the digital elevation model used for focusing) and...
This paper presents an approach for automatic calving front delineation of marine-terminating outlet glaciers. We utilize a Canny edge detection approach together with a shortest path optimization problem to find calving front locations (CFL) on SAR backscattering images from Sentinel-1 and TerraSAR-X. The CFLs are detected on Stripmap images acquired over Zachariae Isstrœm in Northeast Greenland...
In this paper, we exploited satellite remote sensing data, acquired by SAR and optical sensors to map the lava emplacement during the eruption of Pico do Fogo volcano, in Cape Verde. The eruption took place in November 2014, and lasted for about 2 months. The event was imaged by several satellite missions. In particular, the ESA Sentinel-1A platform operated in that area, collecting several images...
In this paper, More than 1000 satellite images including Terra/Aqua MODIS, Sentinel-1A SAR images from 2013 to 2015 were analyzed to obtain spatio-temporal distribution of internal waves in the Andaman Sea. The statistical results demonstrate that the internal wave have been observed mostly in four areas by the remote sensing: northern Sumatra Island, western Malay Peninsula, northeast of the Nicole...
With a low cut-off for the directional wave spectra CFOSAT will impact both mixed sea and swell. The complementary use of CFOSAT and SAR wave spectra will enhance the impact of the assimilation and therefore induce a more accurate sea state. The CFOSAT mission is on one hand a big challenge for operational wave forecasting system, and on the other hand a good opportunity for wave modellers in order...
Data synergy or fusion is a mechanism whereby discrete types of data are used together to achieve a better understanding than was possible with each individually. Spanning over 30% of the Earth's landmass, the global forest plays a significant role in numerous planetary systems including the carbon cycle. This paper presents a novel approach to estimating forest aboveground biomass and mean canopy...
COSMO-SkyMed (Constellation of Small satellites for Mediterranean basin Observation) is a fundamental, powerful asset to Earth Observation field, in which Italy plays a crucial role at world level. It is an Earth Observation Dual Use System (civil and military) conceived to fulfill both civilian and defense needs, enhancing international partnerships through its Interoperability, Expandability and...
Almost concurrent imagery from Landsat-5 and Radarsat-2 are examined separately and in combination to maximize the accuracy of a simple classification of a typical multi-use grassland region in western Canada. Almost all classifications were of sufficient accuracy to be used in an operational sense. Landsat seven band classification was the most accurate, but was deemed less likely to be useful as...
SAR images from Italian COSMO-SkyMed mission can have a significant impact on the production and updates of land cover maps. However, for the full exploitation of the data and their application to nationwide extensions, robust automatic procedures need to be designed. In this paper we present the preliminary results obtained by the implementation of a processing scheme using COSMO-SkyMed images to...
Data synergy or fusion is a mechanism whereby discrete types of data are used together to achieve a better understanding than was possible with each individually. Spanning over 30% of the Earth's landmass, the global forest plays a significant role in numerous planetary systems; the carbon cycle included. The objective of this paper is to couple simulated forest stands with measured datasets from...
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