Archive for the ‘Remote sensing’ Category

Earth observation: bridging the gap to crop-pest systems

November 16, 2016 Leave a comment

The workshop “When Space Meets Agriculture” aimed at promoting a better understanding of the significance and potential of Europe’s space systems (EGNOS/Galileo and Copernicus) for the agricultural sector. While introducing Rural Development Programmes of selected regions and exploring opportunities to set synergies for the development of space applications for the agriculture sector, it will present the main strands of the European Agriculture Policy and more generally link the space community to the agriculture community. Our contribution identified recent and prospective holistic analyses of climate change effects on crop-pest systems in the Mediterranean Basin. The approach used in the analyses involves using physiologically based demographic modeling (PBDM) of crop-pest-natural enemy interactions in the context of a geographic information system (GIS). A major goal is to link the PBDM/GIS technology with increasingly available biophysical datasets from global modeling and satellite observations, and use them to bridge the gap between bottom-up (primarily physiological and population dynamics) and top-down (climatological) GIS approaches for assessing on ground ecosystem level problems, such as agricultural pests.

Ponti L., Gutierrez A.P., Iannetta M., 2016. Climate change and crop-pest dynamics in the Mediterranean Basin. When Space Meets Agriculture: Fostering Interregional collaborations, investments and definition of user requirements. Workshop organized by NEREUS, the Network of European Regions Using Space Technologies, Matera, Italy, 14‐15 November 2016. | Presentation freely available online

Conceptual diagram representing how physiologically-based demographic models bridge the gap between bottom-up (primarily physiological and population dynamics) and top-down (climatological, remote sensing, and ecological niche modeling) GIS approaches for assessing on-ground ecosystem-level problems such as agricultural pests (see Rocchini et al. 2015).


Remote sensing and invasive species

March 30, 2015 Leave a comment

A crucial step in evaluating the impact of invasive species is to map changes in their actual and potential distribution and relative abundance across wide regions over an appropriate time span. While direct and indirect remote sensing approaches have long been used to assess the invasion of plant species, the distribution of invasive animals is mainly based on indirect methods that rely on environmental proxies of conditions suitable for colonization by a particular species. The aim of this article is to review recent efforts in the predictive modelling of the spread of both plant and animal invasive species using remote sensing, and to stimulate debate on the potential use of remote sensing in biological invasion monitoring and forecasting.

Rocchini D., Andreo V., Förster M., Garzon-Lopez C.X., Gutierrez A.P., Gillespie T.W., Hauffe H.C., He K.S., Kleinschmit B., Mairota P., Marcantonio M., Metz M., Nagendra H., Pareeth S., Ponti L., Ricotta C., Rizzoli A., Schaab G., Zebisch M., Zorer R., Neteler M., 2015. Potential of remote sensing to predict species invasions – a modeling perspective. Progress in Physical Geography,

Suitability of Europe for Asian tiger mosquito Aedes albopictus based on land surface temperatures remotely sensed via MODIS satellites.

Course on open source geospatial software

May 4, 2012 Leave a comment

The ENEA Technical Unit for Sustainable Development and Agro-industrial Innovation (UTAGRI) organized a course on “Using open source software for remote sensing and GIS applications” sponsored by the GlobalChangeBiology project and taught by Dr. Markus Neteler, head of the GIS and Remote Sensing Unit at Fondazione Edmund Mach (Trento, Italy). The course was held at the ENEA Casaccia Research Center and spanned two days of intensive work (17-18 January 2012). After an introduction to open source GIS, the course moved to practical issues such as software installation, data import and a simple analysis. The remote sensing part started with a review of available data sets, followed by an overview on data import and processing (analysis of time series and classification). Database management was also covered with a focus on SQL, which introduced vector data editing. Last, the GRASS-R interface was illustrated. Even though the course was targeted to ENEA researchers, it attracted interest from and was attended by several researchers working in other national research centers such as CNR and CRA.

Seminar by M. Neteler, 17 January 2012

May 4, 2012 Leave a comment

The ENEA Technical Unit for Sustainable Development and Agro-industrial Innovation (UTAGRI) organized a seminar on “Geographic Free and Open Source Software for remote sensing and GIS: a toolbox for the GlobalChangeBiology project” by Dr. Markus Neteler, head of the GIS and Remote Sensing Unit at Fondazione Edmund Mach (Trento, Italy). The seminar highlighted a wide range of applications implemented via open source software such as remote sensing of biophysical parameters, landscape analysis, environmental modeling, geostatistics, geomorphology, machine learning, management of emerging infectious diseases, and others. Thanks to the GlobalChangeBiology project, ENEA deploys a unique technology in Europe that provides a sound scientific platform for laying out effective response strategies to global change in agriculture. Open source geospatial software is key to achieving a major goal of the GlobalChangeBiology project, namely to link agroecosystem analysis with remote sensing data so as to bridge the gap between bottom-up and top-down GIS approaches for assessing on-ground ecosystem-level problem.

Project summary

February 18, 2009 Leave a comment

Analytical tools that provide a synthesis of ecological data are increasingly needed to design and maintain sustainable agroecosystems increasingly disrupted by global change in the form of agro-technical inputs, invasive species, and climate change. This is particularly relevant to the Mediterranean Basin, a climate change hot-spot already threatened by local environmental changes including desertification. The project will provide important tools for summarizing, managing, and analyzing ecological data in agricultural systems to address global change effects using grape and olive as model systems. The project will integrate weather driven physiologically based Ecosystem Modelling (EM) and Geographic Information Systems (GIS) to derive a dynamic understanding of complex agricultural systems in the face of global change including climate warming. Multivariate analyses will be used to summarize the main effect of model predictions in a space and time independent way to provide a solid but flexible basis for managing Mediterranean grape and olive systems in a changing global environment. The integrated EM/GIS system may be viewed as a library of the current knowledge about agroecosystems that can be extended to other systems, updated with new knowledge and used to help guide multidisciplinary research on local and regional scales. The need for extensive weather datasets to drive the models requires that the EM/GIS technology be linked with remote sensing (RS) to enhance spatial resolution of the approach and increase its real-world applications. This combined innovative EM/GIS/RS tool will provide European governmental agencies with the scientific basis for developing policy required to adjust to global change including climate warming.

This research is supported by a Marie Curie International Reintegration Grant within the 7th European Community Framework Programme, project number 224091: “A physiologically-based weather-driven geospatial modelling approach to global change biology: tackling a multifaceted problem with an interdisciplinary tool”.