Enrico Borgogno Mondino

Enrico Borgogno Mondino
University of Turin | UNITO · Department of Agricultural, Forest and Food Sciences

PhD - Geodesy and Geomatics

About

220
Publications
48,917
Reads
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2,156
Citations
Introduction
Enrico Borgogno Mondino is currently Full Professor in Geomatics and Remote Sensing at the Department of Agriculture, Forest and Food Sciences, University of Torino.
Additional affiliations
September 2010 - present
University of Genoa
Position
  • Lecturer
Description
  • Lecturer in the following courses (Master Degree): Image interpretation and RS for landscape analysis; CAD/GIS for Landscape Analysis; Laboratory of Analysis, evaluation and representation of Landscape
November 2015 - November 2015
University of Turin
Position
  • Associate Professor in Geomatics (Remote Sensing, GIS, Digital photogrammetry, survey)
March 2001 - May 2004
Politecnico di Milano
Position
  • PhD Student
Description
  • Thesis title: RETI NEUTRALI: APPLICAZIONI NEL CAMPO DELLA GEOMATICA (Artificial Neural Network: geomatic applications)

Publications

Publications (220)
Article
Full-text available
Bartonella is a genus of bacteria known to cause various rare but potentially dangerous diseases in humans and wildlife. The objective of this study was to investigate the presence of Bartonella spp. in red foxes (Vulpes vulpes) from Piedmont and Aosta Valley (NW Italy) and to explore the potential association between environmental humidity and Bar...
Article
Ticks represent a reservoir of zoonotic pathogens, and their numbers are increasing largely in wildlife. This work is aimed at producing maps of suitable habitats for ticks in Aosta Valley, Italy based on multitemporal EO data and veterinary datasets (tick species and distribution in wild hosts). EO data were processed in Google Earth Engine consid...
Article
Full-text available
Updated and accurate crop yield maps play a key role in the agricultural environment. Their application enables the support for sustainable agricultural practices and the formulation of effective strategies to mitigate the impacts of climate change. Farmers can apply the maps to gain an overview of the yield variability, improving farm management p...
Article
In the last years the agricultural sector has been evolving and new technologies, like Unmanned Aerial Vehicles (UAV) and satellites, were introduced to increase crop management efficiency, reducing environmental costs and improving farmers' income. MAIA-S2 sensor is presently one of the most performing optical sensors operating on a Remotely Pilot...
Article
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The recent publication of the European Regulation on deforestation, linked to the import and export from the European Union (EU) of certain commodities and products associated with deforestation and forest degradation, controls sustainable and legal sourcing of wood and wood-based products in EU. In this context, the accurate verification of wood s...
Article
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Satellite-based multispectral remote sensing in the wine sector is expanding, aiming at improving vineyard management for both environmental sustainability and vine quality/yield. However, vineyards present a discontinuous vegetative surface, with rows of vines alternating with background areas (bare soil or other vegetation). This irregular patter...
Article
The assessment of water quality using satellite remote sensing has gained significant interest in recent years. Earth Observation data and technologies, particularly through cloud-based platforms like Google Earth Engine (GEE), offer the potential for synoptic coverage and repeated monitoring. This study aimed to develop a Google Earth Engine app f...
Article
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In the framework of precision viticulture, satellite data have been demonstrated to significantly support many tasks. Specifically, they enable the rapid, large-scale estimation of some viticultural parameters like vine stem water potential (Ψstem) and intercepted solar radiation (ISR) that traditionally require time-consuming ground surveys. The p...
Article
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Precision Agriculture (PA) has revolutionized crop management by leveraging information technology, satellite positioning data, and remote sensing. One crucial component in PA applications is the Normalized Difference Vegetation Index (NDVI), which offers valuable insights into crop vigor and health. However, discontinuity of optical satellite acqu...
Article
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Accurately mapping crop aboveground biomass (AGB) in a timely manner is crucial for promoting sustainable agricultural practices and effective climate change mitigation actions. To address this challenge, the integration of satellite-based Earth Observation (EO) data with advanced machine learning algorithms offers promising prospects to monitor la...
Article
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This work was aimed at developing a prototype system based on multispectral digital photogrammetry to support tests required by international regulations for new Plant Protection Products (PPPs). In particular, the goal was to provide a system addressing the challenges of a new PPP evaluation with a higher degree of objectivity with respect to the...
Article
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Nowadays, European program Copernicus’ Sentinel missions have allowed the development of several application services. In this regard, to strengthen the use of free satellite data in ordinary administrative workflows, this work aims to evaluate the feasibility and prototypal development of a possible service called Sen4MUN for the distribution of c...
Conference Paper
Full-text available
Ticks represent a reservoir of zoonotic pathogens, and their numbers are increasing largely in wildlife. The development of Earth Observation (EO) missions and GIS-Remote sensing techniques have contributed to the enhancement of epidemiological data analysis capabilities providing new and potential tools for the surveillance of animal diseases. Mor...
Article
Full-text available
Citation: Suwanlee, S.R.; Keawsomsee, S.; Pengjunsang, M.; Homtong, N.; Prakobya, A.; Borgogno-Mondino, E.; Sarvia, F.; Som-ard, J. Monitoring Agricultural Land and Land Cover Change from 2001-2021 of the Chi River Basin, Thailand Using Multi-Temporal Landsat Data Based on Google Earth Engine. Remote Sens. 2023, 15, 4339.
Chapter
LiDAR (light detection and ranging) sensors, mounted on UAVs (unmanned aerial vehicles), are a consolidated technology for the remote sensing of the urban and/or natural structural parameters. This study investigates a practical aspect of the advantages of drone UAV LiDAR systems in estimating the main dendrometric parameters in a Calabrian laricio...
Article
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The Destination Earth (DestinE) European initiative has recently brought into the scientific community the concept of the Digital Twin (DT) applied to Earth Sciences. Within 2030, a very high precision digital model of the Earth, continuously fed and powered by Earth Observation (EO) data, will provide as many digital replicas (DTs) as the differen...
Article
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Earth observation data have assumed a key role in environmental monitoring, as well as in risk assessment. Rising temperatures and consequently heat waves due to ongoing climate change represent an important risk considering the population, as well as animals, exposed. This study was focused on the Aosta Valley Region in NW Italy. To assess populat...
Article
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The widespread diffusion of the wild boar on the Italian territory and its consistent use for hunting have created the possibility to conduct multiple studies on the pathologies afflicting this ungulate. Nevertheless, in the last two decades, only some pathologies such as classical and African Swine Fever, Tuberculosis, Brucellosis from Brucella su...
Article
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Grapevine production and quality greatly depend on site-specific features such as topography, soil, and climate. The possibility of recognizing and mapping local specificities of a wine-production area is highly desirable, as environmental conditions are the main drivers of wine production in terms of both quality and quantity. Areas showing simila...
Article
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Google Earth Engine has deeply changed the way in which Earth observation data are processed, allowing the analysis of wide areas in a faster and more efficient way than ever before. Since its inception, many functions have been implemented by a rapidly expanding community, but none so far has focused on the computation of phenological metrics in m...
Article
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Earth Observation services guarantee continuous land cover mapping and are becoming of great interest worldwide. The Google Earth Engine Dynamic World represents a planetary example. This work aims to develop a land cover mapping service in geomorphological complex areas in the Aosta Valley in NW Italy, according to the newest European EAGLE legend...
Article
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Land cover (LC) maps are crucial to environmental modeling and define sustainable management and planning policies. The development of a land cover mapping continuous service according to the new EAGLE legend criteria has become of great interest to the public sector. In this work, a tentative approach to map land cover overcoming remote sensing (R...
Article
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Information on vegetation cover and soil management is used in hydrological and soil erosion modeling, but in most cases, reference values are used solely based on land use classification without considering the actual spatial and temporal variation adopted at the field scale. This work focused on the adoption of satellite optical data from the Cop...
Book
(This book is a reprint of the Special Issue Remote Sensing in Agriculture: State-of-the-Art that was published in Remote Sensing)
Article
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Greening is a subsidy provided by the Common Agricultural Policy (CAP), related to mowing and designed to protect environment. National or regional paying agencies (PP) monitor and verify compliance of farmers’ declarations with CAP rules. In this work, an operational procedure is proposed aimed at supporting PPs in detecting, mapping and quantifyi...
Chapter
Precision agriculture can be supported by different instruments and sensors to monitor crops and adjust agronomic practices. Remote sensing and derived vegetation index are one of the main techniques that allows to derive related-vegetation information. In this work the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Red...
Chapter
Forest height is a fundamental parameter in forestry. SAR interferometry (InSAR) has been widely used to retrieve digital elevation models (DEM), which are designed to provide a continuous representation of Earth topography, including forests. The ordinary InSAR framework requires a further phase unwrapping step in order to recover unambiguously th...
Chapter
The cross-disciplinary approach provided in this work has been applied on a case study located in the province of Alessandria, within the ‘cultural landscape’ of Lower Monferrato, (Piemonte, NW Italy). From a methodological point of view, a comparison was achieved between the native design of the garden (dated back to the end of the sixties) and th...
Chapter
LiDAR systems are evolving very rapidly. In recent years, in fact, the forest sector is largely taking advantage of such evolving progress. Aerial LiDAR (ALS) capability of collecting large amounts of data can directly influence the cost of ordinary in-field forest measurements. A great availability of freely accessible LiDAR data archives from pub...
Article
Full-text available
Vegetation phenology is that branch of science that describes periodic plant life cycle events across the growing seasons. Remote sensing typically monitors these significant events by means of time series of vegetation indices, permitting to characterize vegetation dynamics. It is well known that vegetation in urban areas, i.e., green spaces in ge...
Article
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Midday stem water potential (Ψstem) is an important parameter for monitoring the water status of pomegranate plants and for addressing irrigation management. However, Ψstem ground surveys are time-consuming and difficult to carry out periodically over vast areas. Remote sensing, specifically Copernicus Sentinel 2 data (S2), offers a promising alter...
Article
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The forestry sector has been significantly affected by the recent advances in geomatics. Photogrammetric aerial acquisitions provide full coverage of forests, making possible a wall-to-wall mapping of the main forestry key variables, such as tree height and tree density, needed for forest planning and management purposes. This work summarizes the r...
Article
Approaches based on multitemporal analysis of optical-retrieved vegetation index time series were successfully applied to describe forest disturbances like forest fires; conversely, only few works make use of multitemporal Synthetic Aperture Radar (SAR) data. In this work, a multi-temporal approach based on Sentinel-1 data (S1) is proposed based on...
Article
After an extreme rainy event agricultural fields can be submerged by water. Stagnant water can be generated by river’ flooding or by soil saturation causing different damage level to crops. In this work, the flood event occurred on 3rd October 2020 in NW Italy along the Sesia river was assessed with special concern about damages affecting rice crop...
Article
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Forest height is a fundamental parameter in forestry. Tree height is widely used to assess a site’s productivity both in forest ecology research and forest management. Thus, a precise height measure represents a necessary step for the estimation of carbon storage at the local, national, and global scales. In this context, error in height measuremen...
Conference Paper
Soil erosion is an important issue in sloping areas where vineyards are typically grown. In vineyards, different soil management can be applied to reduce soil losses, although multiple factors affect this soil degradation process. The Revised Universal Soil Loss Equation (RUSLE) is one of the most widely used models to assess soil anagement role in...
Article
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TELECER project is supported through Rural Development Programme regional action of EU CAP and is aimed at providing Precision Agriculture–devoted services for cereals monitoring in the Piemonte Region (NW-Italy) context. In this work authors explored some general and preliminary issues mainly aimed at demonstrating and formalizing those evident re...
Article
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Farmers are supported by European Union (EU) through contributions related to the common agricultural policy (CAP). To obtain grants, farmers have to apply every year according to the national/regional procedure that, presently, relies on the Geo-Spatial Aid Application (GSAA). To ensure the properness of applications, national/regional payment age...
Article
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Satellite remote sensing has long been used to monitor forest harvesting with accuracies appropriate for practical mapping across a wide range of forest types by using different sensors. Unfortunately, in Italy, most of the cuts take place in winter where the cloud cover is very high, making it impossible an early detection by optical data. In this...
Article
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Changes in land use and land cover as well as feedback on the climate deeply affect the landscape worldwide. This phenomenon has also enlarged the human–wildlife interface and amplified the risk of potential new zoonoses. The expansion of the human settlement is supposed to affect the spread and distribution of wildlife diseases such as canine dist...
Article
Full-text available
Forest height is a key parameter in forestry. SAR interferometry (InSAR) techniques have been extensively adopted to retrieve digital elevation models (DEM) to give a representation of the continuous variation of the Earth’s topography, including forests. Unfortunately, InSAR has been proven to fail over vegetation due to low coherence values; ther...
Article
Full-text available
Greening is a Common Agricultural Policy (CAP) subsidy that ensures that all EU farmers receiving income support produce climate and environmental benefits as part of their farming activities. To receive greening support, it is mandatory for the farmer to carry out three agricultural practices that are considered environmentally and climate friendl...
Chapter
Flood-damages on crops are related to several factors concerning both flood event and crops characteristics. In particular, flooded area size and water level are critical parameters while assessing yield loss and damages related to agricultural infrastructure and irrigation systems. With reference to the Sesia river (North-Western Italy) flood, occ...
Chapter
Climate change is a well-known issue in both the scientific community and public opinion that, in the long term, could increase frequency and intensity of extreme weather events. Several models have been developed to estimate damages caused to crops by flooding, but most of them assume that crops are stable and unchanged over time.Conversely, yearl...
Article
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In the eastern Democratic Republic of Congo, agriculture represents the most important economic sector, and land control can be considered a perpetual source of conflict. Knowledge of the existing production system distribution is fundamental for both informing national land tenure reforms and guiding more effective agricultural development interve...
Article
Operational services based on SAR data from satellite missions are showing to have the potentialities of becoming a real scenario; nevertheless, the complexity of data pre-processing remains one of the main reasons for its slow uptake by a wider user community. Google Earth Engine (GEE) web-based platform allows an immediate access to SAR imagery (...
Chapter
Precision agriculture involves the integration of new technologies including Geographic Information Systems (GIS), Global Navigation Satellites Systems (GNSS) and Remote Sensing (RS) platforms and sensors to allow farmers to maximize the cost-benefit ratio, rather than using the traditional whole-field approach. MAIA S2 is a recent multispectral ae...
Article
Full-text available
Recently, Italy has started the procedure for the selection of suitable sites for hosting the National Repository for Low-Medium Activity Radioactive Wastes. Sogin spa, a public company, taking into account the criteria of the ISPRA Technical Guide no. 29, solicited by the EU Directive 2011/70/Euratom, has presented the CNAPI (National Map of the P...
Chapter
Earth observation satellite systems play an important role in the provision of a wide range of information, especially in data-scarce regions. This role becomes extremely relevant during a disaster and when direct access to the affected area is difficult. This chapter provides an overview of the state of the art remote sensing techniques and tools...
Article
The qualitative and quantitative knowledge of forestry stands is a fundamental requirement for their management and exploitation planning. Traditional field measurements, based on plots, are certainly accurate, but time-consuming and expensive; moreover, it cannot provide a wall-to-wall estimate of measures over large areas. Even though they are es...
Article
Monitoring large-scale flood damage can be complicated and costly. Damages caused by floods affect also the agricultural sector. Permanence, height and quantity of stagnant water can significantly influence crop yield. Many studies exploit satellite data to map flooded areas, but only a few are focused on the timing of water persistence. This work...
Article
Full-text available
Satellite remote sensing is a power tool for the long-term monitoring of vegetation. This work, with reference to a regional case study, investigates remote sensing potentialities for describing the annual phenology of rangelands and broad-leaved forests at the landscape level with the aim of detecting eventual effects of climate change in the Alpi...
Article
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Rising temperature, rainfall, and wind regime changes, increasing of frequency and intensity of extreme events are only some of the effects of climate change affecting the agro-forestry sector. Earth Observation data from satellite missions (often available for free) can certainly support analysis of climate change effects on vegetation, making pos...
Article
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Climate change increases extreme whether events such as floods, hailstorms, or storms, which can affect agriculture, causing damages and economic loss within the agro-food sector. Optical remote sensing data have been successfully used in damage detections. Cloud conditions limit their potential, especially while monitoring floods or storms that ar...
Article
Green spaces may benefit human health mainly by mitigating noise and air pollution, promoting physical or social activities and improving mental health. Based on the influence that green space exposure seems to exert on Public Health and using a multidisciplinary approach, we investigated, the association between oxidative stress (OS) and green exp...
Article
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Farmers that intend to access Common Agricultural Policy (CAP) contributions must submit an application to the territorially competent Paying Agencies (PA). Agencies are called to verify consistency of CAP contributions requirements through ground campaigns. Recently, EU regulation (N. 746/2018) proposed an alternative methodology to control CAP ap...
Article
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There is currently a lack of rapid indirect analysis methods for the assessment of the effects of soil microbiota on vine production. Fifteen clusters of two Nebbiolo and Erbaluce varieties were identified in five vineyards belonging to a cooperative of winemakers in North West Italy, according to the differences in the NDVI index, as monitored by...