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  1. Article: Snow Metrics as Proxy to Assess Sarcoptic Mange in Wild Boar: Preliminary Results in Aosta Valley (Italy).

    Viani, Annalisa / Orusa, Tommaso / Borgogno-Mondino, Enrico / Orusa, Riccardo

    Life (Basel, Switzerland)

    2023  Volume 13, Issue 4

    Abstract: 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 ... ...

    Abstract 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
    Language English
    Publishing date 2023-04-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life13040987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: An Integrated, Tentative Remote-Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science-Based Management Policies.

    Carella, Emanuele / Orusa, Tommaso / Viani, Annalisa / Meloni, Daniela / Borgogno-Mondino, Enrico / Orusa, Riccardo

    Animals : an open access journal from MDPI

    2022  Volume 12, Issue 8

    Abstract: 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 ... ...

    Abstract 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 distemper virus (CDV), by shaping the distribution, density, and movements of wildlife. Nevertheless, there is very little evidence in the scientific literature on how remote sensing and GIS tools may help the veterinary sector to better monitor the spread of CDV in wildlife and to enforce ecological studies and new management policies in the near future. Thus, we perform a study in Northwestern Italy (Aosta Valley Autonomous Region), focusing on the relative epidemic waves of CDV that cause a virulent disease infecting different animal species with high host mortality. CDV has been detected in several mammalian from Canidae, Mustelidae, Procyonidae, Ursidae, and Viverridae families. In this study, the prevalence is determined at 60% in red fox (
    Language English
    Publishing date 2022-04-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani12081049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Mapping SAR geometric distortions and their stability along time: a new tool in Google Earth Engine based on Sentinel-1 image time series

    Samuele, De Petris / Filippo, Sarvia / Orusa, Tommaso / Enrico, Borgogno-Mondino

    International journal of remote sensing. 2021 Dec. 02, v. 42, no. 23

    2021  

    Abstract: 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 ... ...

    Abstract 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 (namely, Sentinel-1 – S1) making users able to directly focus on the expected application. SAR side-looking acquisition mode generates many geometric distortions within recorded images, especially in mountain areas, determining a different degree of reliability of deductions. Consequently, a mapping of these areas is desirable for a correct interpretation of derived information. In this work a trigonometry-based method for mapping was implemented in GEE. With reference to a time series made of 60 S1 images covering the whole Piemonte Region (NW Italy) in 2020, some maps of distortions were generated using the 30 m gridded SRTM DTM as topographic surface descriptor. S1 images, belonging to the analyzed time series, were acquired from both ascending and descending orbits. In particular, active/passive shadows, active/passive layover and foreshortening masks were computed and mapped. Distortion maps were finally intersected with land cover classes to test the correspondent degree of analysability by SAR data. The results show that such methodology can be proficiently used to mask unreliable observations, making possible to a priori be informed about the areas of a given territory that can be reasonably and reliably monitored by SAR data.
    Keywords Internet ; geometry ; land cover ; satellites ; time series analysis ; topography ; Italy
    Language English
    Dates of publication 2021-1202
    Size p. 9135-9154.
    Publishing place Taylor & Francis
    Document type Article
    ZDB-ID 1497529-4
    ISSN 1366-5901 ; 0143-1161
    ISSN (online) 1366-5901
    ISSN 0143-1161
    DOI 10.1080/01431161.2021.1992035
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Geomatics and EO Data to Support Wildlife Diseases Assessment at Landscape Level: A Pilot Experience to Map Infectious Keratoconjunctivitis in Chamois and Phenological Trends in Aosta Valley (NW Italy)

    Orusa, Tommaso / Orusa, Riccardo / Viani, Annalisa / Carella, Emanuele / Borgogno Mondino, Enrico

    Remote Sensing. 2020 Oct. 29, v. 12, no. 21

    2020  

    Abstract: 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 ...

    Abstract 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 vegetation. Specifically, the infectious keratoconjunctivitis (IKC) of chamois (Rupicapra rupicapra L.) in Aosta Valley (NW Italy) was investigated at the regional level. IKC (Mycoplasma conjunctivae) is a contagious disease for domestic and wild ruminants (Caprinae and Ovinae). Two types of analysis were performed: one aimed at exploring by remotely sensed data phenological metrics (PMs) and evapotranspiration (ET) trends of vegetation in the area; one investigating the correlation between PMs and ET, versus IKC prevalence. The analysis was based on TERRA MODIS image time series ranging from 2000 to 2019. Ground data about IKC were available for a shorter time range: 2009–2019. Consequently, PMs and ET trend investigations were focused on the whole times range (2000–2019); conversely, correlation analysis was achieved with reference to the reduced 2009–2019 period. The whole study was based on freely available data from public archives. MODIS products, namely MOD13Q1 v.6 and MOD16A2, were used to derive PM and ET trends, respectively. Shuttle Radar Topography Mission (SRTM) Digital Terrain Model (DTM) was used to describe local topography; CORINE Land Cover map was adopted to describe land use classes. PMs and ET (as derivable from EO data) proved to significantly changed their values in the last 20 years, with a continuous progressive trend. As far as correlation analysis was concerned, ET and some PMs (specifically, End of Season (EOS) and Length of Season (LOS) proved significantly condition IKC prevalence. According to results, the proposed methodology can be retained as an effective tool for supporting public health and eco-pathological sectors. Specifically, it can be intended for a continuous monitoring of effects that climatic dynamics determine onto wild animals in the Alpine area, included diseases and zoonosis, moving future environmental management and planning towards the One Health perspective.
    Keywords Mycoplasma conjunctivae ; One Health initiative ; area ; chamois ; climate change ; correlation ; dynamics ; environment ; environmental management ; evapotranspiration ; fields ; keratoconjunctivitis ; land cover ; land use ; landscapes ; length ; light ; models ; monitoring ; phenology ; planning ; prevalence ; public health ; radar ; remote sensing ; satellites ; time series analysis ; topography ; vegetation ; wild animals ; wildlife ; wildlife diseases ; zoonoses ; Italy
    Language English
    Dates of publication 2020-1029
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    Note NAL-light
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs12213542
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Supporting Pro-Poor Reforms of Agricultural Systems in Eastern DRC (Africa) with Remotely Sensed Data: A Possible Contribution of Spatial Entropy to Interpret Land Management Practices

    De Marinis, Pietro / De Petris, Samuele / Sarvia, Filippo / Manfron, Giacinto / Momo, Evelyn Joan / Orusa, Tommaso / Corvino, Gianmarco / Sali, Guido / Borgogno, Enrico Mondino

    Land. 2021 Dec. 11, v. 10, no. 12

    2021  

    Abstract: 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 ... ...

    Abstract 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 interventions. The present paper focuses on existing agricultural production systems in Katoyi collectivity, Masisi territory, where returning Internally and Externally Displaced People are resettling. We aim to define a repeatable methodology for building evidence-based and updated knowledge concerning the spatial distribution of the two existing production systems: subsistence-oriented agriculture (SOA) and business-oriented agriculture (BOA). To this aim, we used a supervised object-based classification approach on remotely sensed Sentinel-2 imagery to classify land cover. To classify production systems further within the “agriculture” and “pasture” land use classes, binary classification based on an entropy value threshold was performed. An iterative approach was adopted to define the final HNDVI threshold that minimised commission and omission errors and maximised overall accuracy and class separability. The methodology achieved acceptable observed accuracy (OA equal to 80–90% respectively for agricultural and pasture areas) in the assessment. SOA and BOA respectively covered 24.4 and 75.6% of the collectivity area (34,606 ha). The results conclude that land use and entropy analysis can draw an updated picture of existing land distribution among different production systems, supporting better-adapted intervention strategies in development cooperation and pro-poor agrarian land tenure reforms in conflict-ridden landscapes.
    Keywords agricultural development ; economic sectors ; entropy ; land cover ; land tenure ; land use ; pastures ; people ; remote sensing ; Democratic Republic of the Congo
    Language English
    Dates of publication 2021-1211
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2682955-1
    ISSN 2073-445X
    ISSN 2073-445X
    DOI 10.3390/land10121368
    Database NAL-Catalogue (AGRICOLA)

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