Publications

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An accurate, frequently updated, automatic and reproducible mapping procedure to identify seasonal cultivated crops is a prerequisite …
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Non-photosynthetic vegetation (NPV) plays a key role in soil conservation, which in turn is important in sustainable agriculture and …
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The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione Applicativa (PRISMA), launched on 22 March 2019 by …
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The availability of high-resolution reference datasets representing in space and time and with high accuracy areas affected by fires is …
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The breeding populations of colonial herons, egrets and allied waterbirds in Northwestern Italy increased since 1972, when a long-term …
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Extrinsic and intrinsic factors may influence the activity budget of wild animals, resulting in a variation in the time spent in …
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The rice growing district in northwestern Italy, where paddies were traditionally flooded throughout spring, was interested by a …
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Sentinel-2 data are widely used to estimate phenological parameters for agronomic applications, although processing methods are often …
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Due to the low efficiency of nitrogen fertilizers in flooded rice paddies, there is a rising demand for tools able to detect crop …
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In this demo we present \“GUInterp\“, a Shiny interface written to facilitate the operations required to interpolate point …
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sen2r is a scalable and flexible R package to enable downloading and preprocessing of Sentinel-2 satellite imagery via an accessible …
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The landscape of drylands, the planet’s largest terrestrial biome, is typically formed by discrete plant patches surrounded by …

\“sen2r\” is an R package which allows to simplify and automate searching, download and preprocessing time series of …
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Despite of their increasing importance as inputs to models for a wide range of scientific fields, high-resolution meteorological …
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Il contributo descrive come le tecniche di soft computing, del Web semantico e neurali siano state applicate efficacemente per …

sen2r (https://github.com/ranghetti/sen2r) è un pacchetto R sviluppato nell’ottica di facilitare, velocizzare ed eventualmente …

Crop modeling and remote sensing are key tools to gain deeper understanding on cropping system dynamics and, ultimately, to increase …
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To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km x 2 km) rice yield …
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The monitoring of crop dynamics is generally important by both environmental and economic points of view, because of its impacts on …
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The present short paper describes the functionalities of a desktop tool enabling non-expert users to develop downstream services for …
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Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and agricultural land monitoring and modelling …
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GeoGrabber is a desktop tool for non-experts, periodically downloading and processing data from Sentinel sources.

The intensive rice cultivation area in northwestern Italy hosts the largest surface of rice paddies in Europe, and it is valued as a …
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The long-term population trends (1972-2015) of the herons and egrets breeding in NW Italy were analysed spatially and temporally in …

Agriculture has a key role in shaping the landscape and exploiting natural resources; sustainable agriculture aims at developing …

The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in …
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Abstract Crop simulation models are commonly used to forecast the performance of cropping systems under different hypotheses of change. …
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Despite the Normalised Difference Vegetation Index (NDVI) has been used to make predictions on forage quality, its relationship with …
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MODIStsp is a new R package allowing automating the creation of raster time series derived from MODIS Land Products. It allows …
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Recent changes in rice crop management within Northern Italy rice district led to a reduction of seeding in flooding condition, which …
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Nello studio di agro-ecosistemi la stima dell’indice di area fogliare (LAI) è fondamentale per ottenerne informazioni sulla …
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In questo lavoro viene presentato un metodo di stima da dati MODIS delle superfici risicole allagate. La procedura per la calibrazione …
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I sensori SAR (Synthetic Aperture Radar) sono impiegati da tempo con successo in progetti di monitoraggio di ecosistemi naturali e …
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Breeding herons and egret have been monitored annually since 1972 throughout Northwestern Italy, over an area of 57,591 km2 with the …

Le popolazioni di Ardeidi nidificanti nella zona di coltivazione intensiva del riso in Italia nord occidentale, dopo un notevole …

Ranging behaviour is one of the most important aspects of the life history of many species. Spatial distributions of individuals in the …
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