Publications
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Remote sensing for monitoring the impacts of agroforestry practices and precipitation changes in particle size export trends Ghent University
Assessing urbanisation effects on rainfall-runoff using a remote sensing supported modelling strategy Vrije Universiteit Brussel
This paper aims at developing a methodology for assessing urban dynamics in urban catchments and the related impact on hydrology. Using a multi-temporal remote sensing supported hydrological modelling approach an improved simulation of runoff for urban areas is targeted. A time-series of five medium resolution urban masks and corresponding sub-pixel sealed surface proportions maps was generated from Landsat and SPOT imagery. The consistency of ...
Understanding riverine wetland-catchment processes using remote sensing data and modelling Vrije Universiteit Brussel
Many wetlands are dependent on river basin processes, and at the same time, scientists have recognised the important role of wetlands in the river basin: they are important zones for groundwater recharge, they temper high flows and are therefore very important to limit flooding. By purifying the water, wetlands also play a very important role for water quality. However, the underlying processes are often not very well known or are poorly ...
Improving hydrological model parameterisation in urbanised catchments: Remote sensing derived impervious surface cover maps. Vrije Universiteit Brussel
Urbanization is strongly influencing the hydrological processes, often causing a reduction of groundwater recharge and severe flooding. Hence, there is an urgent need to approach urban water management in a more sustainable way. The problem analysis, planning and monitoring of sustainable urban water management requires reliable and sufficiently detailed information on the urban environment.
The biggest impact of urbanization on the ...
The biggest impact of urbanization on the ...
Improving Distributed Runoff Prediction in Urbanized Catchments with Remote Sensing based Estimates of Impervious Surface Cover Vrije Universiteit Brussel
The amount and intensity of runoff on catchment scale are strongly determined by the presence of impervious land-cover types, which are the predominant cover types in urbanized areas. This paper examines the impact of different methods for estimating impervious surface cover on the prediction of peak discharges, as determined by a fully distributed rainfall-runoff model (WetSpa), for the upper part of the Woluwe River catchment in the ...
Remote sensing reveals how armed conflict regressed woody vegetation cover and ecosystem restoration efforts in Tigray (Ethiopia) Ghent University
In recent years, armed conflicts are globally on the rise, causing drastic human and environmental harm. The Tigray war in Ethiopia is one of the recent violent conflicts that has abruptly reversed decades of ecosystem restoration efforts. This paper analyzes changes in woody vegetation cover during the period of armed conflict (2020–2022) using remote sensing techniques, supplemented by field testimony and secondary data. Extent of woody ...
Combining connectivity modeling with remote sensing to elucidate flow and sediment connectivity of two adjacent subbasins in the Lake Tana Basin Ethiopia Ghent University
Sediment connectivity is the ability of a system to transfer water and sediment within a catchment. It is controlled by driving forces (rainfall and land cover), static aspects (geomorphology and soil), and dynamic aspects (surface runoff) of the catchment. The connectivity index is commonly used to measure sediment connectivity, even though it usually only looks at structural landscape features. The aims of this study are 1) to assess flow and ...
Using Remote Sensing Based Metrics to Quantify the Hydrological Response in a City Vrije Universiteit Brussel
We propose a remote-sensing based metric approach to evaluate the hydrological response of highly urbanized areas and apply it to the city of Brussels. The model is set-up using 2 m resolution hyperspectral data. Next, it is upscaled to the city level, using multi-spectral Sentinel-2 data with 20 m resolution. We identify the total impervious area, the vegetation cover and the leaf area index as important metrics to derive a timeseries of ...
Variation of the Omo Delta between 1990 and 2018: What remote sensing data reveal and models explain KU Leuven
Deltas, being areas where river sediments accumulate, are sensitive to changes in climate and anthropogenic processes that affect sediment generation. The Omo Delta, on the Ethiopia–Kenya border, is constantly changing due to fluctuating lake levels, a variable climate, and rapidly changing land use. Due to field data scarcity and the region's limited accessibility, we relied on remote sensing (RS) data to investigate delta extent between 1990 ...