A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy)
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 appro...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/1/178 |
| _version_ | 1797406463594856448 |
|---|---|
| author | Tommaso Orusa Duke Cammareri Enrico Borgogno Mondino |
| author_facet | Tommaso Orusa Duke Cammareri Enrico Borgogno Mondino |
| author_sort | Tommaso Orusa |
| collection | DOAJ |
| description | 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 (RS) limitations in the mountains according to the newest EAGLE guidelines was proposed. In order to reach this goal, the methodology has been developed in Aosta Valley, NW of Italy, due to its higher degree of geomorphological complexity. Copernicus Sentinel-1 and 2 data were adopted, exploiting the maximum potentialities and limits of both, and processed in Google Earth Engine and SNAP. Due to SAR geometrical distortions, these data were used only to refine the mapping of urban and water surfaces, while for other classes, composite and timeseries filtered and regularized stack from Sentinel-2 were used. GNSS ground truth data were adopted, with training and validation sets. Results showed that K-Nearest-Neighbor and Minimum Distance classification permit maximizing the accuracy and reducing errors. Therefore, a mixed hierarchical approach seems to be the best solution to create LC in mountain areas and strengthen local environmental modeling concerning land cover mapping. |
| first_indexed | 2024-03-09T03:25:50Z |
| format | Article |
| id | doaj.art-d751757978814862beae98f2070fb36b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T03:25:50Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d751757978814862beae98f2070fb36b2023-12-03T15:02:58ZengMDPI AGRemote Sensing2072-42922022-12-0115117810.3390/rs15010178A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy)Tommaso Orusa0Duke Cammareri1Enrico Borgogno Mondino2Department of Agricultural, Forest and Food Sciences (DISAFA), GEO4Agri DISAFA Lab, Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco, ItalyEarth Observation Valle d’Aosta—eoVdA, Località L’Île-Blonde 5, 11020 Brissogne, ItalyDepartment of Agricultural, Forest and Food Sciences (DISAFA), GEO4Agri DISAFA Lab, Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco, ItalyLand 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 (RS) limitations in the mountains according to the newest EAGLE guidelines was proposed. In order to reach this goal, the methodology has been developed in Aosta Valley, NW of Italy, due to its higher degree of geomorphological complexity. Copernicus Sentinel-1 and 2 data were adopted, exploiting the maximum potentialities and limits of both, and processed in Google Earth Engine and SNAP. Due to SAR geometrical distortions, these data were used only to refine the mapping of urban and water surfaces, while for other classes, composite and timeseries filtered and regularized stack from Sentinel-2 were used. GNSS ground truth data were adopted, with training and validation sets. Results showed that K-Nearest-Neighbor and Minimum Distance classification permit maximizing the accuracy and reducing errors. Therefore, a mixed hierarchical approach seems to be the best solution to create LC in mountain areas and strengthen local environmental modeling concerning land cover mapping.https://www.mdpi.com/2072-4292/15/1/178EAGLE land coverSentinel-1 SARSentinel-2PlanetscopeGoogle Earth EngineSAGA GIS |
| spellingShingle | Tommaso Orusa Duke Cammareri Enrico Borgogno Mondino A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) Remote Sensing EAGLE land cover Sentinel-1 SAR Sentinel-2 Planetscope Google Earth Engine SAGA GIS |
| title | A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) |
| title_full | A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) |
| title_fullStr | A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) |
| title_full_unstemmed | A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) |
| title_short | A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy) |
| title_sort | possible land cover eagle approach to overcome remote sensing limitations in the alps based on sentinel 1 and sentinel 2 the case of aosta valley nw italy |
| topic | EAGLE land cover Sentinel-1 SAR Sentinel-2 Planetscope Google Earth Engine SAGA GIS |
| url | https://www.mdpi.com/2072-4292/15/1/178 |
| work_keys_str_mv | AT tommasoorusa apossiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly AT dukecammareri apossiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly AT enricoborgognomondino apossiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly AT tommasoorusa possiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly AT dukecammareri possiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly AT enricoborgognomondino possiblelandcovereagleapproachtoovercomeremotesensinglimitationsinthealpsbasedonsentinel1andsentinel2thecaseofaostavalleynwitaly |