Victor Maus

Wirtschaftsuniversität Wien | WU · Department of Socioeconomics

This paper presents a time-weighted version of the dynamic time warping (DTW) method for land-use and land-cover classification using remote sensing image time series. Methods based on DTW have achieved significant results in time-series data mining. The original DTW method works well for shape matching, but is not suited for remote sensing time-se...

Earth observation satellites produce petabytes of geospatial data. To manage large data sets, researchers need stable and efficient solutions that support their analytical tasks. Since the technology for big data handling is evolving rapidly, researchers find it hard to keep up with the new developments. To lower this burden, we argue that research...

Coal mining is known for its contributions to climate change, but its impacts on the environment and human lives near mine sites are less widely recognised. This study integrates remote sensing, GIS, stakeholder interviews and extensive review of provincial data and documents to identify patterns of infringement, risk and impact driven by coal mini...

While the extraction of natural resources has been well documented and analysed at the national level, production trends at the level of individual mines are more difficult to uncover, mainly due to poor availability of mining data with sub-national detail. In this paper, we contribute to filling this gap by presenting an open database on global co...

Growing demand for minerals continues to drive deforestation worldwide. Tropical forests are particularly vulnerable to the environmental impacts of mining and mineral processing. Many local- to regional-scale studies document extensive, long-lasting impacts of mining on biodiversity and ecosystem services. However, the full scope of deforestation...

The growing demand for minerals has pushed mining activities into new areas increasingly affecting biodiversity-rich natural biomes. Mapping the land use of the global mining sector is, therefore, a prerequisite for quantifying, understanding and mitigating adverse impacts caused by mineral extraction. This paper updates our previous work mapping m...

Mining activities induce profound changes to societies and the environment they inhabit. With global extraction of metal ores doubling over the past two decades, pressures related to mining have dramatically increased. In this paper, we explore where growing global metal extraction has particularly taken effect. Using fine-grain data, we investigat...

The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents d...

Pasturelands are globally extensive, sensitive to climate, and support livestock production systems that provide an essential source of food in many parts of the world. In this paper, we integrate information from remote sensing, global climate, and land use databases to improve understanding of the resilience and resistance of this ecologically vu...

Harvested biomass is linked to final consumption by networks of processes and actors that convert and distribute food and non-food goods. Achieving a sustainable resource metabolism of the economy is an overarching challenge which manifests itself in a number of the UN Sustainable Development Goals. Modelling the physical dimensions of biomass conv...

A rapidly growing share of global agricultural areas is devoted to the production of biomass for non-food purposes. The expanding non-food bioeconomy can have far-reaching social and ecological implications; yet, the non-food sector has attained little attention in land footprint studies. This paper provides the first assessment of the global cropl...

The opening of large archives of satellite data such as LANDSAT, MODIS and the SENTINELs has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The need to analyze such large data sets has led to the development of automated and semi-automated methods for satellite image tim...

Monitoring large forest areas is presently feasible with satellite remote sensing as opposed to time-consuming and expensive ground surveys as alternative. This study evaluated, for the first time, the potential of using freely available medium resolution (30 m) Landsat time series data for deforestation monitoring in tropical rainforests of Kalima...

Accuracy assessment, also referred to as validation, is a key process in the workflow of developing a land cover map. To make this process open and transparent, we have developed a new online tool called LACO-Wiki, which encapsulates this process into a set of four simple steps including uploading a land cover map, creating a sample from the map, i...

Governmental agencies provide a large and open set of satellite imagery that can be used to track changes in geographic features over time. The current available analysis methods are complex and they are very demanding in terms of computing capabilities. Hence, scientist cannot reproduce analytic results because of lack of computing infrastructure....

This paper describes the process of multisensor time series composition intended for land-use and land-cover classification. Our objective is to verify the robustness of the Time Weighted Dynamic Time Warp algorithm when applied on images from multiples sensors. Our approach increased temporal resolution to improve the quality of classification. Ou...

The high costs and environmental concerns associated with using marine resources as sources of oils rich in polyunsaturated fatty acids (PUFAs) have prompted searches for alternative sources of such oils. Some microorganisms, among them members of the genus Aurantiochytrium, can synthesize large amounts of these biocompounds. However, various param...

This paper presents a lightweight web service named Web Time Series Service (WTSS) for handling remote sensing imagery as time series. The proposed web service bridges the gap between remote sensing applications and their data access pattern requirements through a simple and effective representation for time series data. Our main goal is to bring t...

In this work it was studied the polyunsaturated fatty acids (PUFAs) production, especially DHA, from Thraustochytrium sp. ATCC 26185, under different total nitrogen (TN) availability. Three different TN conditions were evaluated: two with initial concentrations of 2.4 g/L and 0.8 g/L, and the third in a fed-batch process with a rate of 0.009 g/L.h....

Land cover is of fundamental importance to many environmental applications and serves as critical baseline information for many large scale models e.g. in developing future scenarios of land use and climate change. Although there is an ongoing movement towards the development of higher resolution global land cover maps, medium resolution land cover...

substâncias tóxicas e a sua baixa biodegradabilidade. A coagulação química pode ser uma alternativa para o tratamento de efluentes com essas características. O trabalho teve como objetivo avaliar a eficiência do processo Fenton no tratamento de lixiviado gerado em aterros sanitários de resíduos sólidos urbanos. As amostras de lixiviado foram coleta...

O lixiviado gerado em aterros sanitários pela decomposição dos resíduos sólidos com presença de água de infiltração possui grande potencial poluidor, devido à elevada concentração de substâncias tóxicas e a sua baixa biodegradabilidade. A coagulação química pode ser uma alternativa para o tratamento de efluentes com essas características. O trabalh...

The urban human activities on soil occupation and u se affect directly the quantity and quality of runoff, changing the maximum and minimum values of stream flow. The urban soil surface impermeabilization cause high flow intensit ies and more frequency flooding. The uses of permeable pavements in urban areas seek to reduce t he surface runoff and i...