GIS and Remote Sensing Unit at Fondazione Edmund Mach
The mission of the GIS and Remote Sensing unit (Piattaforma GIS & Remote Sensing) is to develop and provide multi-scale approaches for the description of 2-, 3- and 4-dimensional biological systems and processes. Core activities are the acquisition, processing and validation of geographical data, the support for the scientific analysis and management of physical, ecological and geographical data, collected within research projects or monitoring activities. The Geographic Information System (GIS) approach allows the description of continental down to landscape scale systems such as including the 3D-reconstruction of small sampling sites. We focus on the geostatistical analysis of such information layers, the creation and processing of indicators, and the production of ecological, landscape genetics, eco-epidemiological and physiological models. The group pursues actively the development of innovative methods and their implementation in a GIS framework including the analysis of proximal and remote sensing data and time-series.
The Fondazione Edmund Mach (FEM) is a private research foundation established by the government of the Autonomous Province of Trento which continues and improves the activities of the former Istituto Agrario di S. Michele all’Adige (IASMA) and the former Centro di Ecologia Alpina (CEA). The GIS and Remote Sensing group is part of the Research and Innovation Centre (FEM-CRI).
Foundation at S. Michele rendered from Lidar data and Orthophoto
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Zorer, R., Rocchini, D., Metz, M., Delucchi, L., Zottele, F., Meggio, F., Neteler, M. (2013): Daily MODIS Land Surface Temperature Data for the Analysis of the Heat Requirements of Grapevine Varieties. IEEE Transactions on Geoscience and Remote Sensing 51, 2128–2135. [DOI] (IF: 3.467)
- Rocchini, D., Neteler, M. (2012): Let the four freedoms paradigm apply to ecology.Trends in Ecology and Evolution, 27(6): 310-311 [DOI | Full text | PDF] (IF: 15.389)
- Neteler, M., Bowman, M.H., Landa, M. and Metz, M. (2012): GRASS GIS: a multi-purpose Open Source GIS. Environmental Modelling & Software, 31: 124-130 [DOI | PDF] (IF: 3.476). In the Top25-EnvMod-Soft all year of ScienceDirect
- Neteler, M., Roiz, D., Rocchini, D., Castellani, C. and Rizzoli, A. (2011). Terra and Aqua satellites track tiger mosquito invasion: modeling the potential distribution of Aedes albopictus in north-eastern Italy. International Journal of Health Geographics, 10:49 [ Abstract | DOI | PDF ] (IF: 2.62)
- Rocchini, D., Metz, M., Frigeri, A., Delucchi, L., Marcantonio, M., Neteler, M. (2012). Robust rectification of aerial photographs in an Open Source environment. Computers & Geosciences, 39 (2): 145-151 [DOI | PDF] (IF: 1.834) Most-read on ScienceDirect
- Metz M., Mitasova H, Harmon RS, 2011. Accurate stream extraction from large, radar-based elevation models. Hydrology and Earth System Sciences [DOI] (IF 3.148)
- He, K.S., Rocchini, D., Neteler, M., Nagendra, H. (2011). Benefits of hyperspectral remote sensing for tracking plant invasions. Diversity and Distributions, 17: 381-392. [DOI | PDF] (IF: 4.830) Top10 in Sept-Dec2011
- Neteler, M. (2010): Estimating daily Land Surface Temperatures in mountainous environments by reconstructed MODIS LST data. Remote Sensing 2(1), 333-351. [ DOI | Abstract | PDF ] (IF: 2.101)
- Rocchini, D. (2007). Effects of spatial and spectral resolution in estimating ecosystem a-diversity by satellite imagery. Remote Sensing of Environment, 111: 423-434. [DOI | PDF]
- Cescatti, A. and Zorer, R. (2003). Structural acclimation and radiation regime of silver fir (Abies alba Mill.) shoots along a light gradient. Plant, Cell & Environment, 26: 429-442 [DOI]
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