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This contribution presents two experiments performed with the TerraSAR-X (TSX) and TanDEM-X (TDX) satellites working in the pursuit monostatic configuration. Their objective is to estimate the along-track component of the motion in the scene in repeat-pass scenarios with an accuracy better than the one given by the stripmap azimuth resolution. Such performance is possible by exploiting the angular...
The Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the Global Change Observation Mission — Water (GCOM-W or “SHIZUKU”) was launched on May 18, 2012 (JST), and continuous its observation from the A-Train orbit more than one year successfully. Validation results of AMSR2 standard products satisfied required release accuracy, and JAXA has released AMSR2 geophysical parameters to public though...
Each year, numerous disasters cause high amount of human and material losses. With the presence of both technological and social means like very high spatial resolution (VHR) satellite images and the International Charter “Space and Major Disasters” respectively, decision makers can obtain the needed information to make fast life-saving decisions. The automation of parts of the image analysis process...
This paper is focused on an operational case study related to the adoption of a Multi-Temporal Coherence (MTC) color composite approach to support monitoring activities of volcanic eruption events. A specific case study related to the volcanic eruption in Fogo Island (Cape Verde), which started on late November 2014 will be presented and discussed. A MTC analysis based on data acquired by the COSMO-SkyMed...
We present a method based on Markov Random Fields (MRFs) for conducting decision level fusion of segments derived from multiple images of the same region. These images are not required to share the same resolution or sensor characteristics. By working at the segment level we preserve the advantages of segment based image classification while also incorporating the benefits of using multiple image...
Urban impervious surface mapping using moderate-resolution optical images such as Landsat images could be challenging due to the complexity of urban land cover. The study aims to combine optical and PolSAR images to improve accuracy of impervious surface classification. A scene of Landsat-5 TM image and a scene of RADARSAT-2 full-polarized imagery of Kitchener-Waterloo were used. The classification...
In this paper we propose a new methodology to automatically generate retrospective high resolution land cover maps on a regular basis for the whole territory of Ukraine. An ensemble of neural networks, in particular multilayer perceptrons (MLPs), is used for multi-temporal Landsat-4/5/7 satellites imagery classification with previously restored missing data due to clouds, shadows and non-regular coverage...
For the quality analysis of WorldDEMTM database a global validation campaign was established. The goal is to validate the global quality of the WorldDEMTM dataset. For this, different areas on different continents are under evaluation. To get a complete picture, different landscapes were evaluated with different reference data. For reference, GPS points, ICESat data and Lidar reference DEMs were used...
The present paper aims to review the role satellite remote sensing played during the response phase to the largest (in terms of mortality) natural disaster occurred in 2013, i.e. the tropical typhoon Haiyan that struck the Philippines in November 2013. The outcomes of a thorough analysis of the emergency mapping products (about 750 maps) released in the aftermath of the event and in the following...
TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation [1]-[4]. With a typical separation between the satellites of 120 to 500 m a global Digital Elevation Model (DEM) with 2 m relative height accuracy at 12 m posting is being generated. While the...
In this paper the status of the TanDEM-X science activities, the distribution of the digital elevation mode, the schedule for the science phase and first results obtained from this will be presented. The goal of the TanDEM-X mission is to provide a higher level product (the digital elevation model) and to serve the science community with basic interferometric Synthetic Aperture Radar products (a pair...
Land-Cover databases (LC-DB) are very useful for environmental purposes, but need to be semantically detailed to provide robust and instructive spatial indicators. Moreover, remote sensed data allow to cover large areas with high temporal resolution. Such multi-temporal data are very useful input to discriminate LC classes. Nevertheless, automatic fusion method need to be developed to provide high...
Land Use/Land Cover (LU/LC) of agricultural areas derived from remotely sensed data still remains very challenging. With regard to the rising availability and the improving spatial resolution of satellite data, multitemporal analyses become increasingly important for remote sensing investigations. Even crops with similar spectral behaviour can be separated by adding spectral information of different...
This study predicts global forest cover change for the 1980s and 1990s from AVHRR time series metrics in order to show how the series of consistent land cover maps for climate modeling produced by the ESA climate change initiative land cover project can be extended back in time. A Random Forest model was trained on global Landsat derived samples. While the deforestation was underestimated by the model,...
We present detailed reconstructions of variations of seven mountain glaciers situated in the Northern Caucasus: Alibek, Bezengi, Mizhirgi, Kashkatash, Terskol, Ullukam, Tsey. Created using remote sensing data, maps, old photographs and historical descriptions, these highly precise reconstructions cover the period from the end of 19th to the beginning of 20th centuries. For each glacier we identified...
Panchromatic Remote-sensing Instrument for Stereo Mapping, one of onboard sensors carried by Advanced Land Observing Satellite, was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation along its track, and collected its derived images all over the world during the mission life of the satellite...
Most of the empirical topographic correction methods are based on the universal assumptions of the relationship between radiations and solar incident angles. The correction accuracy is hardly to be accessed quantitatively. This paper introduces a land cover adaptive C (LCAC) method for topographic correction, and verifies its advantage quantitatively. Experiments on synthetic and real remote sensing...
In remote sensing, where training data are typically ground-based, mislabeled training data is inevitable. This work handles the mislabeling problem by exploiting the ensemble margin for identifying, then eliminating or correcting the mislabeled training data. The effectiveness of our class noise removal and correction methods is demonstrated in performing mapping of land covers. A comparative analysis...
This study presents an approach to integrate Landsat satellite imagery and forest monitoring field plots, to produce forest attribute maps across the state of Victoria, Australia. Over 450 field plots, sampled from a stratified systematic random framework, were measured to characterise woody and non-woody forest attributes. Field plot data were applied in various k-NN procedures using Landsat8 data...
The effectiveness of very high-resolution IKONOS multispectral satellite imagery for land cover/vegetation mapping in Pico da Vara Nature Reserve (S. Miguel Island, Archipelago of the Azores, Portugal) was assessed. A per-pixel supervised classification scheme was developed using two different datasets. The Dataset A included the IKONOS-2 ortho-rectified and atmospherically corrected Visible and Near...
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