Mattia Rossi

Mattia Rossi
Eurac Research · Institute for Earth Observation

Doctor of Philosophy

About

20
Publications
2,765
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118
Citations

Publications

Publications (20)
Article
Full-text available
A general framework for the integration of multi-sensor data for dry and fresh biomass retrieval is proposed and tested in Alpine meadows and pastures. To this purpose, hyperspectral spectroradiometer (as simulation of hyperspectral imagery) and biomass samples were collected in field campaigns and Copernicus Sentinel-1 Interferometric Wide (IW) sw...
Conference Paper
Earth observation data are images collected by satellites orbiting the earth. The growing amount of new satellites and the continuation of established missions lead to a rapid increase of data with different specifications. The Copernicus Open Access Hub for example provides access to 10 PB of data. OpenEO (https://openeo.org/, a Horizon 2020 proje...
Article
Full-text available
Mountain plant species are changing their ranges in response to global warming. However, these shifts vary tremendously in rate, extent and direction. The reasons for this variation are yet poorly understood. A process potentially important for mountain plant re-distribution is a competition between colonizing species and the resident vegetation. H...
Conference Paper
Full-text available
Grasslands cover almost one third of the world's terrestrial surface. In Alpine environments grassland vegetation fulfills various key environmental purposes such as water reservoir, slope stabilizer and carbon sink or fodder for livestock. At the same time Alpine regions are more affected by climatic changes than other geographic zones, potentiall...
Conference Paper
The collaborative research project “ALGORITHMS” (2019-2021) between the Italian Space Agency (ASI) and the Institute of Applied Physics of the National Research Council of Italy (IFAC–CNR) aims to develop innovative algorithms to estimate the main hydrological parameters (e.g. soil moisture content, vegetation properties, snow water equivalent). Th...
Article
Full-text available
Meteo Browser South Tyrol is a user-friendly web-based application that helps to visualize and download the hydro-meteorological time series freely available in South Tyrol, Italy. It is designed for a wide range of users, from common citizens to students as well as researchers, private companies and the public administration. Meteo Browser South T...
Article
Full-text available
Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eurac Research to automatically upload data, in near real-time, by adopting Open Geospatial Consort...
Article
Full-text available
A synergic integration of Synthetic Aperture Radar (SAR) and optical time series offers an unprecedented opportunity in vegetation phenology monitoring for mountain agriculture management. In this paper, we performed a correlation analysis of radar signal to vegetation and soil conditions by using a time series of Sentinel-1 C-band dual-polarized (...
Article
Full-text available
Grasslands cover up to 40% of the mountain areas globally and 23% of the European Alps and affect numerous key ecological processes. An increasing number of optical sensors offer a great opportunity to monitor and address dynamic changes in the growth and status of grassland vegetation due to climatic and anthropogenic influences. Vegetation indice...
Conference Paper
Alpine meadows and pastures fulfil numerous key environmental processes such as carbon and water storage, soil stability or flora and fauna habitat. Recently, alpine grasslands are exposed to changes in climatic conditions such as later frost events in spring or drought periods, higher temperatures and less precipitation in summer. At the same time...
Conference Paper
The European Alps are providing important ecosystem resources such as water, food, or timber. Satellite remote sensing can act as an important data source for the observation of many parameters related to these resources, offering spatially continuous, high-resolution measurements for large areas. This talk will concentrate on the possibilities for...
Conference Paper
Vegetation growth is highly dynamic over space and time. Especially mountainous vegetation is regionally affected by climatic variability and human impacts. Tracking optical reflectance provides a unique possibility to analyze vegetation across scales from a small plot up to an extensive area. This study compares the NDVI index of grasslands across...
Conference Paper
After forested areas grasslands are the second largest land cover type in the Alps ranging from intensively managed meadows to semi-natural pastures for livestock. Although grasslands are well studied from an ecological point of view, the changing climatic condition combined with the high diversity and management of grasslands require a continuous...
Conference Paper
Grasslands are a dominant land cover in many alpine regions. They vary from intensively managed Meadows to semi-natural pastures for livestock. Grasslands in the Alps are of elevated ecological (e.g. biodiversity, slope stability, carbon and water storage) and economic importance (e.g. livestock habitat, fodder production) and highly sensitive towa...
Conference Paper
"Der anhaltendende Wandel des Klimas der vergangenen Jahrzehnte spiegelt sich in einer erhöhten Variabilität phänologischer Phasen wieder. Studien zeigen, dass sich der Übergang von Frühling zu Sommer von 1971 bis 2000 im europäischen Raum um durchschnittlich 2,5 Tage pro Dekade früher ereignet hat. Die Fernerkundung ermöglicht es, solche Veränderu...

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Cited By

Projects

Projects (3)
Project
Create an index-based drought insurance for mountain grasslands in the Provinces of Bolzano/Bozen and Trento. Develop a remote sensing based drought index for mountain grasslands to estimate biomass losses. The index will be a combination of a biophysical parameter (LAI) and a meteorological index (water stress).
Project
The overarching aim of PROSLIDE is to exploit the potential of innovative input data, available ground truth data and novel modelling designs (i.e. data-driven and physically-based) at different scales to improve the predictability of where and when landslides will occur.
Archived project