City-scale damage assessment using very-high-resolution SAR satellite imagery and building survey data for the 2021 Haiti earthquake

After an earthquake, a rapid identification of the damaged building stock is crucial to prioritise rescue operations, ensure primary services to the most affected regions and support reconstruction. Whilst in-situ reconnaissance missions provide invaluable data on the intensity and distribution of earthquake-induced structural damage, the...

Retrieving Information about Remote Objects from Received Signals

This paper considers generalized coherent-polarimetric method of retrieving information about remote objects using electromagnetic waves. Both active and passive electronic systems as well as different objects under observation, operating frequency bands, and physical meaning (interpretation) of the frequency as spectral argument can be used....

Integrated Monitoring of a Slowly Moving Landslide Based on Total Station Measurements, Multi-Temporal Terrestrial Laser Scanning and Space-Borne Interferometric Synthetic Aperture Radar

Continuous landslide monitoring is a crucial task for the management of natural hazards for identifying suitable mitigation measures, including nature-based solutions. In the present study, three monitoring techniques including (i) an automated tracking total station (ATTS), (ii) multi-temporal terrestrial laser scanning (TLS) and (iii) space...

Ecosystem service monitoring using remote sensing, citizen science and other ground observations and current practices in Vietnam

Ecosystems are providing a stream of essential goods and services for the national socio-economic prosperity and welfare; paradoxically, these services have to suffer a high vulnerability against the increasingly uncontrolled use of human beings. World-wide researchers and authorities are working to ensure the sustainability of nature; and...

Evolution of wind towards wind turbine

Remote sensing of the atmospheric variables with the use of LiDAR is a relatively new technology field for wind resource assessment in wind energy. The validation of LiDAR measurements and comparisons is of high importance for further applications of the data.

Data Extraction from Social Networks for Urban Analyses: Combining Space Syntax and user-generated data analysis on Lisbon

The present work constitutes the first stage of an ongoing research on the interaction between morphological characteristics of the urban fabric and the amount of social activity in such spaces. In order to analyze such correlation, the current research links together two different field of studies: Space Syntax on one side, for the...

Rip current predictions through model-data assimilation on two distinct beaches

This paper describes the development of a physics-based rip current prediction system called CoSMoS. This system consists of a hydrodynamic prediction system which is composed of a train of surge and wave models from the global scale to the scale of a beach resort (order kilometers). For the beach resort scale model, it is of utmost importance...

Monitoring morphology of the sand engine leeside using Argus' cBathy

The Sand Engine is a mega-nourishment constructed in 2011 with the purpose of replenishing the surrounding southern Dutch coast by exploiting the strength of local alongshore currents for the next 20 years. Long term monitoring of the Sand Engine depends upon remote sensing coupled with in-situ measurements due to both its large spatial and...

Monitoring of beach surface properties with remote sensing

Existing aeolian transport formulae tend to overestimate the sediment transport volumes in coastal environments. Supply limiting factors like moisture content, shell patches, sediment sorting, vegetation and morphological features are believed to explain these overestimations. These supply limitations act on a variety of spatio-temporal scales...

Monitoring the extent of flooding: Based on a case study in Queensland

“Of droughts and flooding rains” (Dorothea Mackellar 1885-1968, “My Country”). The recent flooding in Queensland affected rural areas, mines, towns and cities including the state capital. Tracking such an event on a day-by day basis raises practical and theoretical issues. While this year’s floods captured world headlines, there is a major...

Automatic object recognition and change detection of urban trees

Monitoring of tree objects is relevant in many current policy issues and relate to the quality of the public space, municipal urban green management, management fees for green areas or Kyoto protocol reporting and all have one thing in common: the need for an up to date tree database. This study, part of the Tree and Image research project,...

Fire risk assessment: The role of hyperspectral remote sensing

The increasing demand for effective forest fire prevention instruments has faced operational and future Earth observation instruments with the challenge of producing updated and reliable maps of vegetation moisture. Various empirical band-ratio indexes have been proposed so far, based on multispectral remote sensing data, that have been found to...

Improving 2D change detection by using available 3D data

Change detection with very high resolution imagery is difficult, because 3D objects as buildings appear differently in 2D imagery due to varying viewing angles and sun positions. This research proposes a method to improve change detection by using simple 3D models of buildings. Buildings have been modelled as flat roof or gable roof buildings....