Search Results - "Laneve, Giovanni"

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  1. 1

    Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area by Mohajane, Meriame, Costache, Romulus, Karimi, Firoozeh, Bao Pham, Quoc, Essahlaoui, Ali, Nguyen, Hoang, Laneve, Giovanni, Oudija, Fatiha

    Published in Ecological indicators (01-10-2021)
    “…•Five new ensemble models were developed for forest fire susceptibility modeling.•10 conditioning factors were considered in this study.•RF-FR ensemble model…”
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    Journal Article
  2. 2

    An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach by Shaik, Riyaaz Uddien, Laneve, Giovanni, Fusilli, Lorenzo

    Published in Remote sensing (Basel, Switzerland) (01-03-2022)
    “…Natural vegetation provides various benefits to human society, but also acts as fuel for wildfires. Therefore, mapping fuel types is necessary to prevent…”
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  3. 3

    Mapping forest tree species and its biodiversity using EnMAP hyperspectral data along with Sentinel-2 temporal data: An approach of tree species classification and diversity indices by Vanguri, Rajesh, Laneve, Giovanni, Hościło, Agata

    Published in Ecological indicators (01-10-2024)
    “…•Novel Integration of Multi-source Data.•Utilization of spaceborne hyperspectral satellite data.•Comprehensive Machine Learning Approach.•High-Accuracy Tree…”
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  4. 4

    Geostationary Sensor Based Forest Fire Detection and Monitoring: An Improved Version of the SFIDE Algorithm by Di Biase, Valeria, Laneve, Giovanni

    Published in Remote sensing (Basel, Switzerland) (01-05-2018)
    “…The paper aims to present the results obtained in the development of a system allowing for the detection and monitoring of forest fires and the continuous…”
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  5. 5

    Fire Occurrences and Greenhouse Gas Emissions from Deforestation in the Brazilian Amazon by Silva, Claudia Arantes, Santilli, Giancarlo, Sano, Edson Eyji, Laneve, Giovanni

    Published in Remote sensing (Basel, Switzerland) (01-02-2021)
    “…This work presents the dynamics of fire occurrences, greenhouse gas (GHG) emissions, forest clearing, and degradation in the Brazilian Amazon during the period…”
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  6. 6

    Editorial for Special Issue: “Recent Progress in UAV-AI Remote Sensing” by Dong, Yingying, Yang, Chenghai, Laneve, Giovanni, Huang, Wenjiang

    Published in Remote sensing (Basel, Switzerland) (01-09-2023)
    “…The development of unmanned aerial vehicles (UAV) and artificial intelligence (AI) techniques has drawn increasing interest and started a novel area of…”
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  7. 7

    The Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas by Laneve, Giovanni, Pampanoni, Valerio, Uddien Shaik, Riyaaz

    Published in Remote sensing (Basel, Switzerland) (01-08-2020)
    “…Mediterranean forests are gravely affected by wildfires, and despite the increased prevention effort of competent authorities in the past few decades, the…”
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  8. 8

    Analysing the Relationship between Spatial Resolution, Sharpness and Signal-to-Noise Ratio of Very High Resolution Satellite Imagery Using an Automatic Edge Method by Pampanoni, Valerio, Fascetti, Fabio, Cenci, Luca, Laneve, Giovanni, Santella, Carla, Boccia, Valentina

    Published in Remote sensing (Basel, Switzerland) (01-03-2024)
    “…Assessing the performance of optical imaging systems is crucial to evaluate their capability to satisfy the product requirements for an Earth Observation (EO)…”
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  9. 9

    Eutrophication and HAB Occurrence Control in Lakes of Different Origins: A Multi-Source Remote Sensing Detection Strategy by Laneve, Giovanni, Téllez, Alejandro, Kallikkattil Kuruvila, Ashish, Bruno, Milena, Messineo, Valentina

    Published in Remote sensing (Basel, Switzerland) (01-05-2024)
    “…Remote sensing techniques have become pivotal in monitoring algal blooms and population dynamics in freshwater bodies, particularly to assess the ecological…”
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  10. 10

    Progress and Limitations in the Satellite-Based Estimate of Burnt Areas by Laneve, Giovanni, Di Fonzo, Marco, Pampanoni, Valerio, Bueno Morles, Ramon

    Published in Remote sensing (Basel, Switzerland) (01-01-2024)
    “…The detection of burnt areas from satellite imagery is one of the most straightforward and useful applications of satellite remote sensing. In general, the…”
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  11. 11

    Presenting a Semi-Automatic, Statistically-Based Approach to Assess the Sharpness Level of Optical Images from Natural Targets via the Edge Method. Case Study: The Landsat 8 OLI–L1T Data by Cenci, Luca, Pampanoni, Valerio, Laneve, Giovanni, Santella, Carla, Boccia, Valentina

    Published in Remote sensing (Basel, Switzerland) (01-04-2021)
    “…Developing reliable methodologies of data quality assessment is of paramount importance for maximizing the exploitation of Earth observation (EO) products…”
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  12. 12

    Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis by Spiller, Dario, Carbone, Andrea, Amici, Stefania, Thangavel, Kathiravan, Sabatini, Roberto, Laneve, Giovanni

    Published in Remote sensing (Basel, Switzerland) (01-10-2023)
    “…The exacerbation of wildfires, attributed to the effects of climate change, presents substantial risks to ecological systems, infrastructure, and human…”
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  13. 13

    Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia by Carbone, Andrea, Spiller, Dario, Laneve, Giovanni

    Published in Fire (Basel, Switzerland) (01-10-2023)
    “…Accurate fuel mapping is crucial for effectively determining wildfire risk and implementing management strategies. The primary challenge in fuel type mapping…”
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  14. 14

    Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases by Mirzaei, Saham, Pascucci, Simone, Carfora, Maria Francesca, Casa, Raffaele, Rossi, Francesco, Santini, Federico, Palombo, Angelo, Laneve, Giovanni, Pignatti, Stefano

    Published in Remote sensing (Basel, Switzerland) (01-07-2024)
    “…Despite its high importance for crop yield prediction and monitoring, early-season crop mapping is severely hampered by the absence of timely ground truth. To…”
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  15. 15

    PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy by Pignatti, Stefano, Amodeo, Aldo, Carfora, Maria Francesca, Casa, Raffaele, Mona, Lucia, Palombo, Angelo, Pascucci, Simone, Rosoldi, Marco, Santini, Federico, Laneve, Giovanni

    Published in Remote sensing (Basel, Switzerland) (01-05-2022)
    “…In March 2019, the PRISMA (PRecursore IperSpettrale della Missione Applicativa) hyperspectral satellite was launched by the Italian Space Agency (ASI), and it…”
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  16. 16

    Remote Sensing Detection of Algal Blooms in a Lake Impacted by Petroleum Hydrocarbons by Laneve, Giovanni, Bruno, Milena, Mukherjee, Arghya, Messineo, Valentina, Giuseppetti, Roberto, De Pace, Rita, Magurano, Fabio, D'Ugo, Emilio

    Published in Remote sensing (Basel, Switzerland) (01-01-2022)
    “…The purpose of this study was to combine all available information on the state of Lake Pertusillo (Basilicata, Italy), both in the field and published, which…”
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  17. 17

    Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters by Kganyago, Mahlatse, Ovakoglou, Georgios, Mhangara, Paidamwoyo, Adjorlolo, Clement, Alexandridis, Thomas, Laneve, Giovanni, Beltran, Juan Suarez

    Published in GIScience and remote sensing (31-12-2023)
    “…Wide field-of-view (FOV) sensors such as Sentinel-2 exhibit per-pixel view and illumination geometry variation that may influence the retrieval accuracy of…”
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  18. 18

    Periodic Orbits for Sounding Mars’ Atmosphere by Down- and Limb-Looking Measurements by Ortore, Emiliano, Spazzacampagna, Luca, Laneve, Giovanni, Circi, Christian

    Published in The Journal of the astronautical sciences (01-12-2019)
    “…The Periodic Multi-Sun-Synchronous Orbit allows the planning of observational cycles in which the solar illumination of the observed planet varies regularly,…”
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  19. 19

    Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases by Rossi, Francesco, Casa, Raffaele, Huang, Wenjiang, Laneve, Giovanni, Linyi, Liu, Mirzaei, Saham, Pascucci, Simone, Pignatti, Stefano, Yu, Ren

    Published in Geo-spatial information science (03-05-2024)
    “…This research investigates the suitability of PRISMA and Sentinel-2 satellite imagery for retrieving topsoil properties such as Organic Matter (OM), Nitrogen…”
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  20. 20

    Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources by Pignatti, Stefano, Casa, Raffaele, Laneve, Giovanni, Li, Zhenhai, Liu, Linyi, Marzialetti, Pablo, Mzid, Nada, Pascucci, Simone, Silvestro, Paolo Cosmo, Tolomio, Massimo, Upreti, Deepak, Yang, Hao, Yang, Guijun, Huang, Wenjiang

    Published in Remote sensing (Basel, Switzerland) (01-08-2021)
    “…Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management…”
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