Luigi Ranghetti

Luigi Ranghetti
IBF Servizi S.p.A.

PhD

About

37
Publications
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451
Citations

Publications

Publications (37)
Article
Recent changes in rice crop management within Northern Italy rice district led to a reduction of seeding in flooding condition, which may have an impact on reservoir water management and on the animal and plant communities that depend on the flooded paddies. Therefore, monitoring and quantifying the spatial and temporal variability of water presenc...
Article
MODIStsp is a new R package allowing automating the creation of raster time series derived from MODIS Land Products. It allows performing several preprocessing steps (e.g. download, mosaicing, reprojection and resize) on MODIS products on a selected time period and area. All processing parameters can be set with a user-friendly GUI, allowing users...
Article
Full-text available
The intensive rice cultivation area in northwestern Italy hosts the largest surface of rice paddies in Europe, and it is valued as a substantial habitat for aquatic biodiversity, with the paddies acting as a surrogate for the lost natural wetlands. The extent of submerged paddies strictly depends on crop management practices: in this framework, the...
Article
Full-text available
sen2r is a scalable and flexible R package to enable downloading and preprocessing of Sentinel-2 satellite imagery via an accessible and easy to install interface. It allows the execution of several preprocessing steps which are commonly performed by Sentinel-2 users: searching the Sentinel-2 archive for datasets available over a spatial area of in...
Article
Full-text available
The rice growing district in northwestern Italy, where paddies were traditionally flooded throughout spring, was interested by a general decrease of standing water presence caused by the adoption of dry seeding crop practices, with consequences for water management and for the ecology of breeding waterbirds. This communication analyses changes in f...
Article
Non-photosynthetic vegetation (NPV) plays a key role in soil conservation, which in turn is important in sustainable agriculture and carbon farming. For mapping NPV image spectroscopy proved to outperform multispectral sensors. PRISMA (PRecursore IperSpettrale della Missione Applicativa) is the forerunner of a new era of hyperspectral satellite mis...
Article
Full-text available
The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new opportunities in many scientific domains, including precision farming and sustainable agriculture. This new Earth Observation (EO) data stream requires new-generation approaches f...
Article
Full-text available
The availability of high-resolution reference datasets representing in space and time and with high accuracy areas affected by fires is strategic for the validation of remotely-sensed Burned Area (BA) products. This paper proposes a methodology designed to build a burned area reference dataset from Sentinel-2 (S2) images at continental scale by imp...
Article
Full-text available
The breeding populations of colonial herons, egrets and allied waterbirds in Northwestern Italy increased since 1972, when a long-term monitoring was initiated, up to the end of the 20° century. Populations of continental importance for some heron species were concentrated mostly in the district of intensive rice cultivation, where the paddies offe...
Article
Full-text available
Extrinsic and intrinsic factors may influence the activity budget of wild animals, resulting in a variation in the time spent in different activities among populations or individuals of the same species. In this study, we examined how extrinsic and intrinsic factors affect the behaviour of the alpine marmot (Marmota marmota), a hibernating social r...
Conference Paper
Full-text available
Sentinel-2 data are widely used to estimate phenological parameters for agronomic applications, although processing methods are often difficult to reproduce and the efficiency of estimations is often not verified. In this contribution we describe a workflow used in the framework of E-crops project (https://bit.ly/cnr-ecrops) for the analysis of Bon...
Article
Full-text available
Due to the low efficiency of nitrogen fertilizers in flooded rice paddies, there is a rising demand for tools able to detect crop nitrogen status in space and time to allow farmers to use the technical novelties of precision agriculture to improve fertilizer management in extensive fields. This work sets up an operational approach to increase nitro...
Article
Despite of their increasing importance as inputs to models for a wide range of scientific fields, high-resolution meteorological variables are not recorded very often on spatially regular grids. This problem is usually overcome by using data from reanalysis models, although they are less accurate. This paper discusses the development of a new spati...
Article
Crop modeling and remote sensing are key tools to gain deeper understanding on cropping system dynamics and, ultimately, to increase the sustainability of agricultural productions. This study presents a system to estimate rice yields at sub-field scale based on the integration of a biophysical model and remotely sensed products. Leaf area index (LA...
Conference Paper
The aim of this work is to assess the utility of combining Sentinel-2A and Landsat (Landsat-7 ETM+ and Landsat-8 OLI) LAI time series for rice crop monitoring. LAI maps were produced in three countries (Italy, Spain and Greece) using state-of-the-art machine learning algorithms trained on simulated radiative transfer modelling data specifically gen...
Code
Full-text available
MODIStsp v1.3.7 now allows download and preprocessing of MODIS Collection 006 datasets. MODIStsp is a ”R” package devoted to automatizing the creation of time series of rasters derived from MODIS Land Products data. MODIStsp allows to perform several preprocessing steps (e.g., download, mosaicking, reprojection and resize) on MODIS data available w...
Conference Paper
The present short paper describes the functionalities of a desktop tool enabling non-expert users to develop downstream services for the periodic download and processing of data from Sentinel sources. Index Terms: downstream service, flooded area mapping, Sentinel data, spectral indicators.
Article
Full-text available
Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and agricultural land monitoring and modelling studies. This paper is aimed at comparing, validating and discussing different LAI satellite products from operational services and customized solution based on innovative Earth Observation (EO) data such as Landsat-7...
Article
To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for t...
Article
Full-text available
The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice monitoring. The first is aimed at providing information concerning the behavior of the current season at regional/rice district...
Article
Full-text available
Crop simulation models are commonly used to forecast the performance of cropping systems under different hypotheses of change. Their use on a regional scale is generally constrained, however, by a lack of information on the spatial and temporal variability of environment-related input variables (e.g., soil) and agricultural practices (e.g., sowing...
Article
Full-text available
Despite the Normalised Difference Vegetation Index (NDVI) has been used to make predictions on forage quality, its relationship with bromatological field data has not been widely tested. This relationship was investigated in alpine grasslands of the Gran Paradiso National Park (Italian Alps). Predictive models were built using remotely sensed deriv...
Conference Paper
Full-text available
In this work we present a method to estimate water fraction in ricefields using MODIS data. Model calibration and validation has been performed using both field information and higher resolution images (Landsat 8). Estimations in the period 2000-2014 showed a diffused reduction of water fraction, according with the diffusion of dry seeding in ricef...
Conference Paper
Full-text available
In the study of agro-ecosystems the estimation of leaf area index (LAI) it is critical to obtain information on the spatial and temporal variability of crops. In this paper we obtained thematic maps of LAI with a regression model, were field data were collected with a smartphone application. The maps produced, validated with LAI data collected with...
Conference Paper
Full-text available
Le popolazioni di Ardeidi nidificanti nella zona di coltivazione intensiva del riso in Italia nord occidentale, dopo un notevole aumento nel periodo 1985-95, dal 2005, piuttosto che stabilizzarsi, mostrano per molte specie una costante flessione. Questa diminuzione potrebbe essere imputabile al cambiamento dei metodi colturali che ha interessato le...
Code
Code used to preprocess data and make statistical analyses used in the following paper: L. Ranghetti, B. Bassano, G. Bogliani, A. Palmonari, A. Formigoni, L. Stendardi and A. von Hardenberg (2016). ”MODIS time series contribution for the estimation of nutritional properties of alpine grassland”. European Journal of Remote Sensing, 49: 691-718, doi:...
Technical Report
Full-text available
This technical report describes the intensive field campaign over rice field of Rosasco site, in Italy in July 2014. Thanks to a collaboration between ImagineS and ERMES project (http://www.ermes-fp7space.eu/), CNR-IREA (http://www.irea.cnr.it/en/) has collected effective LAI, LAI, FAPAR and FCover measurements. The data have been provided to EOLAB...
Conference Paper
Full-text available
Breeding herons and egrets have been monitored annually since 1972 throughout Northwestern Italy, over an area of 57,591 km² with the greatest surface of rice cultivation in Europe (about 2,000 km²). The total number of heronries increased from 40 in 1972 to 130 in 2013, in pace with an increase in the number of nests that peaked in 2000 to 23 time...
Conference Paper
Full-text available
The effects of climate change appear to be especially pronounced in mountain areas. In the Alps, winter is getting warmer and snow-cover duration is decreasing, with sensible effects on plants, which are advancing the beginning of their growing season and speeding up their maturation. These alterations can affect the population dynamics of herbivor...
Conference Paper
Full-text available
Population dynamic of alpine large herbivores is strictly related to seasonality, since plant availability is mainly limited to a short summer season: as a consequence, life history strategies of these species have been selected to fit the best environmental conditions in their most sensitive phases (e.g. kid birth). In the case of the Alpine ibex...
Article
Full-text available
Ranging behaviour is one of the most important aspects of the life history of many species. Spatial distributions of individuals in the wild is linked to factors such as foraging, mating, population density, availability of resources and competition. Accurate data on the spatial location of individuals over time is often difficult to collect. Here,...

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Projects

Project (1)
Project
ERMES aims to develop a prototype of downstream services based on the assimilation of EO and in situ data within crop modeling solutions. Two services are foreseen: Regional Rice Service (RRS) customised for providing public authorities with an agro-monitoring system for crop mapping, yield estimating and risk forecast and Local Rice Service (LRS) for the private sector (farmers, agro-services) providing added value information on yield variability, risk alert and crop damage at farm scale.