Enrico Borgogno Mondino

Università degli Studi di Torino | UNITO · Department of Agricultural, Forest and Food Sciences

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...

(This book is a reprint of the Special Issue Remote Sensing in Agriculture: State-of-the-Art that was published in Remote Sensing)

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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 (...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

The protection of vineyards with overhead plastic covers is a technique largely applied in table grape growing. As with other crops, remote sensing of vegetation spectral reflectance is a useful tool for improving management even for table grape viticulture. The remote sensing of the spectral signals emitted by vegetation of covered vineyards is cu...

Detection and monitoring of vigour decline are certainly useful for forest managers to support future interventions. In this work a new index, from Sentinel-2 retrieved NDVI (Normalized Difference Vegetation Index) time series, is proposed, hereafter called 'normal-ized Vegetation Vigour Index (nVVI)', which is specifically designed to quantify and...

Tree stability evaluation is an important issue with great practical implications. In the recent years, tree potential to cause harm has been increasing in consequence of climate change effects, mainly related to windstorms and tree diseases that represent the main tree failure causes. A tree owner has a duty of safety, imposed by civil and penal l...

Geomatics and satellite remote sensing offer useful analysis tools for several technical-scientific fields. This work, with reference to a regional case of study, investigates remote sensing potentialities for describing relationships between environment and diseases affecting wildlife at landscape level in the light of climate change effects onto...

In urban planning, a numerical and spatially based approach is expected to drive to the “best” choice. In this work a GIS-based procedure is proposed to model territorial dynamics by comparing maps of two different periods (1830 and 2000). The study area is located in the urban fringe of Torino (NW Italy) that suffered from important changes especi...

This study evaluated the effectiveness of Sentinel-2 (S2) as a tool for early detection and estimation of forest harvesting in the Piemonte Region, which can be used by the regional forest administration. The priority was the detection, at the regional scale, of annual forest cover changes with the following goals: i) mapping of irregular (in respe...

Tree height (H) survey is a fundamental step in forest mensuration. The error affecting tree height measure, necessarily influences the correspondent tree estimates. The remotely survey of vegetation using PHODAR (PHOtogrammetric Detection And Ranging) or LiDAR (Light Detection And Ranging) techniques generates very high-density point clouds, that...

In October 2017, a large wildfire occurred in the Susa valley (Italian Western Alps) affecting wide areas of mixed forests (Pinus sylvetris L.; Fagus sylvatica L., Quercus pubescens Willd.) with a spot pattern. Few days after the event an aerial survey operated by an RGB camera Sony ILCE-7RM2-a7R II was done with the aim of testing a digital photog...

Hail is one of the risks that most frightens farmers and one of the few currently insured climatic-related phenomena. In the last years, a significant increase occurred of adverse events affecting crops, highlighting that ordinary strategies of insurance companies should migrate to a more dynamic management. In this work a prototype of service base...

Background Green spaces (greenness) have been reported as beneficial to health, mainly mitigating air pollution, hot spots, noise and promoting socialisation, biodiversity and physical activity (PA). This study aims to examine the association between greenness and oxidative stress (OS) in children and to evaluate interaction with PA. Methods The c...

Remotely piloted aerial systems (RPAS) have been recognized as an effective low-cost tool to acquire photogrammetric data of low accessible areas reducing collection and processing time. Data processing techniques like structure from motion (SfM) and multiview stereo (MVS) techniques, can nowadays provide detailed 3D models with an accuracy compara...

Several tools have been introduced to generate accurate 3D models. Among these, Unmanned Aerial Vehicles (UAVs) are an effective low-cost tool to go beyond on-fields effort limits since they allow to fly over areas difficult to reach and to reduce the time needed to collect and process photogrammetric pictures as well. Combining their versatility w...

Climate change is today one of the biggest issues for farmers. The increasing number of natural disasters and change of seasonal trends is making insurance companies more interested in new technologies that can somehow support them in quantifying and mapping risks. Remotely sensed data, with special focus on free ones, can certainly provide the mos...

Aerial discrete return LiDAR (Light Detection And Ranging) technology (ALS-Aerial Laser Scanner) is now widely used for forest characterization due to its high accuracy in measuring vertical and horizontal forest structure. Random and systematic errors can still occur and these affect the native point cloud, ultimately degrading ALS data accuracy,...