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Selection: Neteler:M [11 articles] 

Publications by author Neteler:M.

A new fully gap-free time series of land surface temperature from MODIS LST data

Remote Sensing, Vol. 9, No. 12. (20 December 2017), 1333,


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 fully reconstruct MODIS daily LST products for central Europe at 1 km resolution and globally, at 3 arc-min. We combined temporal and spatial interpolation, using emissivity and elevation as covariates ...


How innovations thrive in GRASS GIS

In North Carolina GIS Conference, NCGIS2017 (2017)


[Poster topic highlights] [::] Algorithms and models included in GRASS GIS remain available long term (Chemin et al., 2015). [::] Analytical tools are not limited to one domain but spread across many fields. [::] New tools can be built based on functionality or code of the existing ones regardless of the particular domain of problems they belong to. [::] Both the functionality and the code are evaluated by the community of users and developers in different fields and scales. [General GRASS GIS highlights] [::] The GRASS GIS development team ...


Open Source software and GIS

In Open source GIS a GRASS GIS approach, Vol. 773 (2008), pp. 1-6,


Over the past decade, Geographical Information Systems (GIS) have evolved from a highly specialized niche to a technology that affects nearly every aspect of our lives, from finding driving directions to managing natural disasters. While just a few years ago the use of GIS was restricted to a group of researchers, planners and government workers, now almost everybody can create customized maps or overlay GIS data. On the other hand, many complex problems related to urban and regional planning, environmental protection, or business management, require ...


Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula

Ecological Modelling, Vol. 197, No. 3-4. (August 2006), pp. 383-393,


We present a modelling framework for predicting forest areas. The framework is obtained by integrating a machine learning software suite within the GRASS Geographical Information System (GIS) and by providing additional methods for predictive habitat modelling. Three machine learning techniques (Tree-Based Classification, Neural Networks and Random Forest) are available in parallel for modelling from climatic and topographic variables. Model evaluation and parameter selection are measured by sensitivity-specificity ROC analysis, while the final presence and absence maps are obtained through maximisation of ...


GRASS GIS: a peer-reviewed scientific platform and future research repository

Geophysical Research Abstracts In European Geosciences Union (EGU) General Assembly 2013, Vol. 17 (2015), 8314


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 [18]. We present how GRASS GIS, a free and open source GIS, is used by many scientists to implement and perform geoprocessing tasks. We will show how integrating scientific algorithms into ...


  1. Baker, W.L., Cai, Y., 1992. The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system. Landscape Ecology 7(4), 291-302.
  2. Cannata M., Marzocchi R., 2012. Two-dimensional dam break flooding simulation: a GIS embedded approach. Natural Hazards 61(3), 1143-1159.
  3. Chemin, Y.H., 2012. A Distributed Benchmarking Framework for Actual ET Models. In Evapotranspiration - Remote Sensing and Modeling, Intech (Eds).
  4. Chemin, Y.H., 2014.

MODIS and Vector-Borne Diseases

IEEE Earthzine, Vol. 6, No. 4. (2013), 713257


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 Nile fever, and tularaemia are examples for globally distributed vector-borne diseases with a high potential to affect people. Tick-borne rickettsial diseases (Ehrlichiosis, Anaplasmosis, Rocky Mountain spotted fever) are common in North America, whereas tick-borne encephalitis is widespread in Europe and ...


Surface Temperatures at the Continental Scale: Tracking Changes with Remote Sensing at Unprecedented Detail

Remote Sensing, Vol. 6, No. 5. (28 April 2014), pp. 3822-3840,


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 of gaps that must be reconstructed. Here, we present a new method to reconstruct high-resolution land surface temperature (LST) time series at the continental scale gaining 250-m spatial resolution and four daily ...


Environmental Modeling Using Open Source Tools

Encyclopedia of GIS In Encyclopedia of GIS (2008), pp. 275-279,


[Definition] Geospatial data can include socioeconomic, environmental, geophysical, and technical data about the Earth and societal infrastructure and hence is pivotal in environmental modeling and management (EMM). Desktop, web-based, and embedded geospatial systems have become an essential part of EMM, providing pre- or post-processing of geospatial data, analysis and visualization of results using a graphical user interface (GUI). When combined with the growing culture of free and open source software (FOSS), this combination of geographic information systems) GIS and environmental modeling ...


Open source GIS a GRASS GIS approach



Includes material relating to GRASS6, this third edition contains sections covering database management working with attributes and SQL, reflecting the substantial extension of GRASS capabilities for managing attributes stored in various database systems. ...


Species distribution modelling and open source GIS: why are they still so loosely connected?

In International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting (2012), pp. 1481-1488


Species Distribution Models (SDMs) are correlative models that use environmental and/or geographical information to explain patterns of species occurrences. Those models are being used in various fields including climate change, invasive species research, evolutionary biology and epidemiology. Thanks to the availability of increasing computational resources, new methods continue to be developed. However, software packages that include the SDM algorithms usually focus on one or few methods, and have different degrees of integration with other geographical and statistical software. Specifically, SDM implementations ...


GRASS GIS: a multi-purpose open source GIS

Environmental Modelling & Software, Vol. 31 (May 2012), pp. 124-130,


The GIS software sector has developed rapidly over the last ten years. Open Source GIS applications are gaining relevant market shares in academia, business, and public administration. In this paper, we illustrate the history and features of a key Open Source GIS, the Geographical Resources Analysis Support System (GRASS). GRASS has been under development for more than 28 years, has strong ties into academia, and its review mechanisms led to the integration of well tested and documented algorithms into a joint ...

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