About
198
Publications
111,161
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
7,779
Citations
Introduction
My main research interests focus on remote sensing for environmental risk assessment and Free Software GIS development. In the last years, I have been working on risk mapping for EU and Italian eco-health and biodiversity projects in FP7 and H2020. I am cofounder of mundialis, a geospatial analysis and remote sensing business located in Bonn, Germany.
Keywords: GIS analysis, open source software development, remote sensing, environmental indicators, time series analysis, disease vectors, cloud
Additional affiliations
December 2015 - October 2023
mundialis GmbH & Co. KG
Position
- Cofounder and Senior Consultant
Description
- See https://www.mundialis.de/neteler/
May 1999 - July 2001
Institute for Physical Geography and Landscape Ecology
Position
- Research Assistant
July 2001 - December 2007
Publications
Publications (198)
[ Full text available at the DOI link above! ]
Globally, research and policy groups often lack the expertise to
develop appropriate models to analyze agroecological and invasive species problems holistically to inform management and quarantine policy development under extant and climate change over wide geographic landscapes. Off-the-shelf specie...
Background
Tick-borne encephalitis (TBE) is a disease which can lead to severe neurological symptoms, caused by the TBE virus (TBEV). The natural transmission cycle occurs in foci and involves ticks as vectors and several key hosts that act as reservoirs and amplifiers of the infection spread. Recently, the incidence of TBE in Europe has been risin...
The Open Source Geospatial Foundation (OSGeo) is an international community, which maintains and develops a growing number of quality-assured open source geospatial software tools. OSGeo supports Open Science and the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The open source software projects of OSGeo are drivers for innovatio...
This chapter provides an overview over the current spectrum of free and open source licensed geospatial software tools and communities.
The number of available open source geospatial tools continues to grow and diversify, while new fields of application emerge. This chapter presents a selection of well-established free and open source software (FO...
The lack of data on disaster-related loss and damage, especially in developing countries, obstructs the implementation of the Sendai Framework for Disaster Risk Reduction (SFDRR). This weakens the accuracy, timeliness, and quality of the SFDRR monitoring process at the national level. This is the case for the country of Ecuador, who has not reporte...
The capacity to assess invasion risk from potential crop pests before invasion of new regions globally would be invaluable, but this requires the ability to predict accurately their potential geographic range and relative abundance in novel areas. This may be unachievable using de facto standard correlative methods as shown for the South American t...
Tropical fruit flies are considered among the most economically important invasive species detected in temperate areas of the United States and the European Union. Detections often trigger quarantine and eradication programs that are conducted without a holistic understanding of the threat posed. Weather-driven physiologically-based demographic mod...
https://wenzeslaus.github.io/grass-gis-talks/foss4g2021.html
GRASS GIS is a well established, all-in-one geospatial number cruncher with Python interface, command line, and GUI. This talk will give an overview of new additions and highlight latest updates in version 7.8 and new major version 8.0. Major updates in 7.8 include Python 3 support, tran...
https://veroandreo.github.io/grass-gis-talks/wageningen2021.html
Changes in settlements and infrastructure occur much faster than can be monitored by cadastral services, making it an ideal application domain for Copernicus satellite imagery. We present a methodology to derive yearly Germany-wide land cover classification maps and change detection products based on Sentinel-2 data with a focus on built-up areas....
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Interface) standardises EO-related contracts between local clients (R, Python, and JavaScript) and cloud...
Cloud computing has completely transformed computing infrastructure over the past decade, opening exciting new possibilities for data distribution and analytics. As earth-observation data continue to grow in volume and complexity, many data providers are considering how best to take advantage of cloud computing. This report assesses how the Coperni...
Over the past decade, open source software has become widely accepted across governments, industries and academia. The geospatial domain is no exception and this trend is also reflected in geospatial research and practice. Nowadays, governments and stakeholders from the business sector both participate and promote open geospatial science including...
Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes, supports the identification of potential risks related to climate change or allows the development of corresponding adaptation and mitigation strategies. Although such data is freely available throu...
Half of the European Union (EU) land and the livelihood of 10 million farmers is threatened by unsustainable land-use intensification, land abandonment and climate change. Policy instruments, including the EU Common Agricultural Policy (CAP) have so far failed to stop this environmental degradation. BESTMAP will: 1) Develop a behavioural theoretica...
The authors introduce the GRASS GIS add-on module g.citation as an initial implementation of a fine-grained software citation concept. The module extends the existing citation capabilities of GRASS GIS, which until now only provide for automated citation of the software project as a whole, authored by the GRASS Development Team, without reference t...
The authors introduce the GRASS GIS add-on module g.citation. The module extends the existing citation capabilities of GRASS GIS, which until now only provide for automated citation of the software project as a whole, authored by the GRASS Development Team, without reference to individual persons. The functionalities of the new module enable indivi...
The authors introduce the GRASS GIS add-on module g.citation. The module extends the existing citation capabilities of GRASS GIS, which until now only provide for automated citation of the software project as a whole, authored by the GRASS Development Team, without reference to individual persons. The functionalities of the new module enable indivi...
The incidence of tick-borne diseases caused by Borrelia burgdorferi sensu lato, Anaplasma phagocytophilum and Rickettsia spp. has been rising in Europe in recent decades. Early pre-assessment of acarological hazard still represents a complex challenge. The aim of this study was to model Ixodes ricinus questing nymph density and its infection rate w...
Grape, olive, and wheat are traditional Mediterranean Basin crops that have immense cultural, economic, and ecological importance, and are the basis for producing wine, olive oil, and pasta and bread products. Of fruit crops, grape has the largest area and the highest economic importance globally. These traditional Mediterranean crop systems and re...
GRASS GIS has contained remote sensing tools for decades, catering to the needs of users since the first generations of Landsat satellites. In this talk we will present the current efforts of integrating modern data sources and modern approaches into GRASS GIS. Tools exist for pre-processing recent very high resolution images, object-based image an...
Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. We present a novel method to fu...
1. Biodiversity includes multiscalar and multitemporal structures and processes, with different levels of functional organization, from genetic to ecosystemic levels. One of the mostly used methods to infer biodiversity is based on taxonomic approaches and community ecology theories. However, gathering extensive data in the field is difficult due t...
As a contribution to the currently ongoing larger effort to establish Open Science
as best practices in academia, this article focuses on the Open Source and Open Access tiers
of the Open Science triad and community software projects. The current situation of research
software development and the need to recognize it as a significant contribution t...
Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic diseases. In 2010, several West Nile virus (WNV) outbreaks in humans were observed in Europe, with the l...
Analysing the changing spatial patterns of landscapes due to climate change or anthropogenic impact is important for various disciplines. Land cover change and its resulting modification of spatial patterns in the landscape influence various geographical or ecological parameters. Changing formerly continuous into discontinuous ecosystems due to lan...
Remote sensing is one of the most important tools in ecology and conservation for an effective monitoring of ecosystems in space and time. Hence, a proper training is crucial for developing effective conservation practices based on remote sensing data. In this paper we aim to highlight the potential of open-access data and open-source software and...
Évaluer le niveau de la diversité dans les communautés végétales à partir de données sur le terrain est difficile pour un certain nombre de raisons pratiques: (1) l'établissement du nombre d'unités d'échantillonnage à analyser peut être difficile; (2) le choix du plan d'échantillonnage peut avoir un impact sur les résultats; et (3) la définition de...
The availability of more than thirty years of historical satellite data is a valuable source which could be used as an alternative to the sparse in-situ data. We developed a new homogenised time series of daily day time Lake Surface Water Temperature (LSWT) over the last thirty years (1986–2015) at a spatial resolution of 1 km from thirteen polar o...
Availability of remotely sensed multi-spectral images since the 1980’s, which cover three decades of voluminous data could help researchers to study the changing dynamics of bio-physical characteristics of land and water. In this study, we introduce a new methodology to develop homogenised Lake Surface Water Temperature (LSWT) from multiple polar o...
Aedes albopictus is a tropical invasive species which in the last decades spread worldwide, also colonizing temperate regions of Europe and US, where it has become a public health concern due to its ability to transmit exotic arboviruses, as well as severe nuisance problems due to its aggressive daytime outdoor biting behaviour. While several studi...
Climatic pattern in Rome (2003–2014).
Data collected by the Hydrographic Service of Regione Lazio and disseminated through the hydrographic annals (http://www.idrografico.roma.it/annali). Meteorological sampling stations of Roma Sud. Upper panel: whole year data, Lower panel: highlight week 28–45 from whole year data.
(PDF)
Weekly mean of Aedes albopictus adult females (±SE) in each of the 21 sampling station over 18-week sampling along a 70km-transect encompassing Rome metropolitan area.
Each sampling station is characterized by population density (i.e. inhabitants/km2) and vegetation cover (i.e. percentage of areas covered by “vegetation” vs “artificial surfaces”) a...
Result of Generalized Linear Mixed Models (GLMMs) of time-dependent climatic predictors during the two high Aedes albopictus abundance phases.
(GDD = Growing Degree Days; LST = Land Surface Temperature).
(DOCX)
Result of Generalized Additive Mixed Models (GAMMs) of time-dependent climatic predictors during the whole sampling season.
Rainfall variables were modelled in turn either non-linearly or linearly with the inclusion of a Day of Year (DoY) smoother in each model. Temperature (T) variables were modelled in turn non-linearly (GDD = Growing Degree Days...
Good estimates of ecosystem complexity are essential for a number of ecological tasks: from biodiversity estimation, to forest structure variable retrieval, to feature extraction by edge detection and generation of multifractal surface as neutral models for e.g. feature change assessment. Hence, measuring ecological complexity over space becomes cr...
Analyzing temporal series of satellite data for regional scale studies demand high accuracy in calibration and precise geo-rectification at higher spatial resolution. The Advanced Very High Resolution Radiometer (AVHRR) sensor aboard the National Oceanic and Atmospheric Administration (NOAA) series of satellites provide daily observations for the l...
Background:
Invasive alien species represent a growing threat for natural systems, economy and human health. Active surveillance and responses that readily suppress newly established colonies are effective actions to mitigate the noxious consequences of biological invasions. However, when an exotic species establishes a viable population in a new...
The Copernicus programme of the European Union provides Terabytes of remote sensing data every day. The continuing processing of this huge amount of data with open source software is a chance and a challenge for many organisations. In this topic talk we discuss real world applications and also highlight technical solutions for processing chains bas...
Agricultural and forest monitoring is a valued instrument needed by public authorities (PA) for determining land uses, planning natural resources management and collecting taxes. Remote Sensing (RS) can provide accurate information over large areas and it has been already widely used for these tasks. Orthophotos and LiDAR data are regularly acquire...
Species distribution models represent an important approach to map the spread of plant and animal species over space (and time). As
all the statistical modelling techniques related to data from the field, they are prone to uncertainty. In this study we explicitly dealt with
uncertainty deriving from field data sampling; in particular we propose i)...
We studied the spatio-temporal variations of chlorophyll-a concentration and phytoplankton blooms in the continental shelf and shelf break of the Argentinean patagonic region by means of a time series of 11-years of MODIS/Aqua level 3 (L3) chlorophyll product. We aggregated data according to different granularities and estimated annual and monthly...
Species evolution depends on numerous and distinct forces, including demography and natural selection. For example, local adaptation and population structure affect the evolutionary history of species living along environmental clines. This is particularly relevant in plants, which are often characterized by limited dispersal ability and the need t...
Geographical Information System (GIS) is known for its capacity to spatially enhance the management of natural
resources. While being often used as an analytical tool, it also represents a collaborative scientific platform to
develop new algorithms. Thus, it is critical that GIS software as well as the algorithms are open and accessible to
anybody...
Geographical Information System (GIS) is known for its capacity to spatially enhance the management of natural
resources. While being often used as an analytical tool, it also represents a collaborative scientific platform to
develop new algorithms. Thus, it is critical that GIS software as well as the algorithms are open and accessible to
anybody...
Understanding the causes and effects of species invasions is a priority in ecology and conservation biology.
One of the crucial steps in evaluating the impact of invasive species is to map changes in their actual and
potential distribution and relative abundance across a wide region over an appropriate time span. While
direct and indirect remote se...
West Nile Virus (WNV) is a globally important mosquito borne virus, with significant implications for human and animal health. The emergence and spread of new lineages, and increased pathogenicity, is the cause of escalating public health concern. Pinpointing the environmental conditions that favour WNV circulation and transmission to humans is cha...
In this study, we investigated the relationship between (D/H)1, (D/H)2 and δ(13)C of ethanol and δ(18)O of water in wine, and variables describing the climate and the geography of the production area, using exploratory visualisation tools, regression analysis and linear modelling. For the first time, a large amount of data (around 4000 wine samples...
Background
West Nile Virus (WNV) is an emerging global health threat. Transmission risk is strongly related to the abundance of mosquito vectors, typically Culex pipiens in Europe. Early-warning predictors of mosquito population dynamics would therefore help guide entomological surveillance and thereby facilitate early warnings of transmission risk...
Losses in biodiversity critically impact the ability of ecosystems to provide
critical services ranging from carbon sequestration and food production to the
maintenance of soil fertility. The maintenance of biodiversity is thus essential for
human well-being and a sustainable future. Since landscape diversity often relates
to species biodiversity,...
Due to the difficulties of field-based species data collection at wide spatial scales, remotely sensed spectral diversity has been advocated as one of the most effective proxies of ecosystem and species diversity. It is widely accepted that the relationship between species and spectral diversity is scale dependent. However, few studies have evaluat...
Dear EWN project followers, In this issue we are very please to provide an overview of some the most important achievements obtained within the Eurowestnile projects during the last three years. We discussed such advancements during our last Eurowestnile meeting held in Madrid on 17th-18th February 2014 Exciting new insights regarding West Nile vir...
Data Science is described as the process of knowledge extraction from large data sets by means of scientific methods. The discipline draws heavily from techniques and theories from many fields, which are jointly used to furthermore develop information retrieval on structured or unstructured very large datasets. While the term Data Science was alrea...
Temperature is a main driver for most ecological processes, and temperature time series provide key environmental indicators for various applications and research fields. High spatial and temporal resolutions are crucial for detailed analyses in various fields of research. A disadvantage of temperature data obtained by satellites is the occurrence...
The upcoming GRASS GIS 7 release improves not only raster processing and general design but the vector processing in the first place. GRASS GIS, as a topological GIS, recognizes that the topology plays the key role in the vector processing and analysis. Topology ensures that adjacent geographic components in a single vector map are related. In cont...
http://www.earthzine.org/2014/04/16/modis-and-vector-borne-diseases/
Many regions in the world face an increasing risk for new or re-emerging vector-borne diseases. Subsequently, there is a strong need in addressing increasing challenges for human and veterinary public health across the globe. Dengue fever, borreliosis (Lyme disease), plague, West...
The book is only available through Amazon or other similar platforms.
The authors are all prominent experts in Open Source GIS in Italy and, in many cases, the international community. They are all professionals with involvement in training and scientific research and are highly motivated by their common goal of supporting Free Software. This is,...
The Asian tiger mosquito, Aedes albopictus, is capable of transmitting a broad range of viruses to humans. Since its introduction at the end of the 20th century, it has become well established in large parts of southern Europe. As future expansion as a result of climate change can be expected, determining the current and projected future climatic s...