A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 data Article Swipe
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.2560368
The potentialities of Sentinel-1 in geohazard detection and monitoring, at a regional-to-local scale, have been demonstrated in the last two years. Nevertheless, the interpretation of the DInSAR derived products (like the deformation velocity maps) can be complex and misleading, mostly for a final user who is not familiar with the DInSAR technology. For this reason, the DInSAR is still not integrated in the existing risk management and monitoring structures as a constant and periodical complementary input. In this work, we present a semi-automatic methodology, developed in the framework of the European Project SAFETY, to simplify the interpretation and the practical use of the DInSAR derived results in the risk management at a regional scale. The methodology extracts and resumes the main information of the most significant detected Active Deformation Areas (ADA). In this work, the methodology is explained and its application to landslides detection and monitoring is presented by showing some cases of study in Italy and Spain.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://ui.adsabs.harvard.edu/abs/2018EGUGA..20.6390B/abstract
- OA Status
- green
- Related Works
- 1
- OpenAlex ID
- https://openalex.org/W3033751816
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3033751816Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.2560368Digital Object Identifier
- Title
-
A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-04-08Full publication date if available
- Authors
-
Anna Barra, Oriol Monserrat, Pier Lorenzo Solari, Gerardo Herrera, Silvia Bianchini, Roberto Sarro, Sergio Ligüérzana, Elena González-AlonsoList of authors in order
- Landing page
-
https://ui.adsabs.harvard.edu/abs/2018EGUGA..20.6390B/abstractPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.2560368Direct OA link when available
- Concepts
-
Landslide, Remote sensing, Geology, Computer science, Data mining, SeismologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
1Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3033751816 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.2560368 |
| ids.doi | https://doi.org/10.5281/zenodo.2560369 |
| ids.mag | 3033751816 |
| ids.openalex | https://openalex.org/W3033751816 |
| fwci | 0.0 |
| type | article |
| title | A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 data |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | 6390 |
| topics[0].id | https://openalex.org/T10535 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2308 |
| topics[0].subfield.display_name | Management, Monitoring, Policy and Law |
| topics[0].display_name | Landslides and related hazards |
| topics[1].id | https://openalex.org/T10644 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9765999913215637 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1902 |
| topics[1].subfield.display_name | Atmospheric Science |
| topics[1].display_name | Cryospheric studies and observations |
| topics[2].id | https://openalex.org/T11164 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9700999855995178 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Remote Sensing and LiDAR Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C186295008 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6344411373138428 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q167903 |
| concepts[0].display_name | Landslide |
| concepts[1].id | https://openalex.org/C62649853 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5846642255783081 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[1].display_name | Remote sensing |
| concepts[2].id | https://openalex.org/C127313418 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5218487977981567 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[2].display_name | Geology |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.3811471462249756 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C124101348 |
| concepts[4].level | 1 |
| concepts[4].score | 0.32854968309402466 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[4].display_name | Data mining |
| concepts[5].id | https://openalex.org/C165205528 |
| concepts[5].level | 1 |
| concepts[5].score | 0.2940039038658142 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q83371 |
| concepts[5].display_name | Seismology |
| keywords[0].id | https://openalex.org/keywords/landslide |
| keywords[0].score | 0.6344411373138428 |
| keywords[0].display_name | Landslide |
| keywords[1].id | https://openalex.org/keywords/remote-sensing |
| keywords[1].score | 0.5846642255783081 |
| keywords[1].display_name | Remote sensing |
| keywords[2].id | https://openalex.org/keywords/geology |
| keywords[2].score | 0.5218487977981567 |
| keywords[2].display_name | Geology |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.3811471462249756 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/data-mining |
| keywords[4].score | 0.32854968309402466 |
| keywords[4].display_name | Data mining |
| keywords[5].id | https://openalex.org/keywords/seismology |
| keywords[5].score | 0.2940039038658142 |
| keywords[5].display_name | Seismology |
| language | en |
| locations[0].id | mag:3033751816 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S4306508950 |
| locations[0].source.issn | |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | EGUGA |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | EGUGA |
| locations[0].landing_page_url | http://ui.adsabs.harvard.edu/abs/2018EGUGA..20.6390B/abstract |
| locations[1].id | doi:10.5281/zenodo.2560368 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400562 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[1].source.host_organization | https://openalex.org/I67311998 |
| locations[1].source.host_organization_name | European Organization for Nuclear Research |
| locations[1].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article-journal |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.5281/zenodo.2560368 |
| locations[2].id | doi:10.5281/zenodo.2560369 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400562 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[2].source.host_organization | https://openalex.org/I67311998 |
| locations[2].source.host_organization_name | European Organization for Nuclear Research |
| locations[2].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article-journal |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.5281/zenodo.2560369 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5043423907 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6254-7931 |
| authorships[0].author.display_name | Anna Barra |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Anna Barra |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5044034363 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2505-6855 |
| authorships[1].author.display_name | Oriol Monserrat |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Oriol Monserrat |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5057589578 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3637-2669 |
| authorships[2].author.display_name | Pier Lorenzo Solari |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Lorenzo Solari |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5076790076 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6633-9184 |
| authorships[3].author.display_name | Gerardo Herrera |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Gerardo Herrera |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5086821996 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Silvia Bianchini |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Silvia Bianchini |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5053830730 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-2083-1931 |
| authorships[5].author.display_name | Roberto Sarro |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Roberto Sarro |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5091689400 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Sergio Ligüérzana |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Sergio Ligüerzana |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5063675782 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-7478-0340 |
| authorships[7].author.display_name | Elena González-Alonso |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Elena Gonzalez-Alonso |
| authorships[7].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5281/zenodo.2560368 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10535 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2308 |
| primary_topic.subfield.display_name | Management, Monitoring, Policy and Law |
| primary_topic.display_name | Landslides and related hazards |
| related_works | https://openalex.org/W2325874261 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | doi:10.5281/zenodo.2560368 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | article-journal |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5281/zenodo.2560368 |
| primary_location.id | mag:3033751816 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S4306508950 |
| primary_location.source.issn | |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | EGUGA |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | EGUGA |
| primary_location.landing_page_url | http://ui.adsabs.harvard.edu/abs/2018EGUGA..20.6390B/abstract |
| publication_date | 2018-04-08 |
| publication_year | 2018 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 10, 41, 70, 81, 111 |
| abstract_inverted_index.In | 76, 131 |
| abstract_inverted_index.as | 69 |
| abstract_inverted_index.at | 9, 110 |
| abstract_inverted_index.be | 35 |
| abstract_inverted_index.by | 148 |
| abstract_inverted_index.in | 4, 16, 61, 85, 106, 154 |
| abstract_inverted_index.is | 45, 57, 136, 146 |
| abstract_inverted_index.of | 2, 24, 88, 101, 122, 152 |
| abstract_inverted_index.to | 93, 141 |
| abstract_inverted_index.we | 79 |
| abstract_inverted_index.For | 52 |
| abstract_inverted_index.The | 0, 114 |
| abstract_inverted_index.and | 7, 37, 66, 72, 97, 117, 138, 144, 156 |
| abstract_inverted_index.can | 34 |
| abstract_inverted_index.for | 40 |
| abstract_inverted_index.its | 139 |
| abstract_inverted_index.not | 46, 59 |
| abstract_inverted_index.the | 17, 22, 25, 30, 49, 55, 62, 86, 89, 95, 98, 102, 107, 119, 123, 134 |
| abstract_inverted_index.two | 19 |
| abstract_inverted_index.use | 100 |
| abstract_inverted_index.who | 44 |
| abstract_inverted_index.been | 14 |
| abstract_inverted_index.have | 13 |
| abstract_inverted_index.last | 18 |
| abstract_inverted_index.main | 120 |
| abstract_inverted_index.most | 124 |
| abstract_inverted_index.risk | 64, 108 |
| abstract_inverted_index.some | 150 |
| abstract_inverted_index.this | 53, 77, 132 |
| abstract_inverted_index.user | 43 |
| abstract_inverted_index.with | 48 |
| abstract_inverted_index.(like | 29 |
| abstract_inverted_index.Areas | 129 |
| abstract_inverted_index.Italy | 155 |
| abstract_inverted_index.cases | 151 |
| abstract_inverted_index.final | 42 |
| abstract_inverted_index.maps) | 33 |
| abstract_inverted_index.still | 58 |
| abstract_inverted_index.study | 153 |
| abstract_inverted_index.work, | 78, 133 |
| abstract_inverted_index.(ADA). | 130 |
| abstract_inverted_index.Active | 127 |
| abstract_inverted_index.DInSAR | 26, 50, 56, 103 |
| abstract_inverted_index.Spain. | 157 |
| abstract_inverted_index.input. | 75 |
| abstract_inverted_index.mostly | 39 |
| abstract_inverted_index.scale, | 12 |
| abstract_inverted_index.scale. | 113 |
| abstract_inverted_index.years. | 20 |
| abstract_inverted_index.Project | 91 |
| abstract_inverted_index.SAFETY, | 92 |
| abstract_inverted_index.complex | 36 |
| abstract_inverted_index.derived | 27, 104 |
| abstract_inverted_index.present | 80 |
| abstract_inverted_index.reason, | 54 |
| abstract_inverted_index.results | 105 |
| abstract_inverted_index.resumes | 118 |
| abstract_inverted_index.showing | 149 |
| abstract_inverted_index.European | 90 |
| abstract_inverted_index.constant | 71 |
| abstract_inverted_index.detected | 126 |
| abstract_inverted_index.existing | 63 |
| abstract_inverted_index.familiar | 47 |
| abstract_inverted_index.products | 28 |
| abstract_inverted_index.regional | 112 |
| abstract_inverted_index.simplify | 94 |
| abstract_inverted_index.velocity | 32 |
| abstract_inverted_index.detection | 6, 143 |
| abstract_inverted_index.developed | 84 |
| abstract_inverted_index.explained | 137 |
| abstract_inverted_index.framework | 87 |
| abstract_inverted_index.geohazard | 5 |
| abstract_inverted_index.practical | 99 |
| abstract_inverted_index.presented | 147 |
| abstract_inverted_index.Sentinel-1 | 3 |
| abstract_inverted_index.integrated | 60 |
| abstract_inverted_index.landslides | 142 |
| abstract_inverted_index.management | 65, 109 |
| abstract_inverted_index.monitoring | 67, 145 |
| abstract_inverted_index.periodical | 73 |
| abstract_inverted_index.structures | 68 |
| abstract_inverted_index.Deformation | 128 |
| abstract_inverted_index.application | 140 |
| abstract_inverted_index.deformation | 31 |
| abstract_inverted_index.information | 121 |
| abstract_inverted_index.methodology | 115, 135 |
| abstract_inverted_index.misleading, | 38 |
| abstract_inverted_index.monitoring, | 8 |
| abstract_inverted_index.significant | 125 |
| abstract_inverted_index.technology. | 51 |
| abstract_inverted_index.demonstrated | 15 |
| abstract_inverted_index.extracts<br> | 116 |
| abstract_inverted_index.methodology, | 83 |
| abstract_inverted_index.Nevertheless, | 21 |
| abstract_inverted_index.complementary | 74 |
| abstract_inverted_index.interpretation | 23, 96 |
| abstract_inverted_index.potentialities | 1 |
| abstract_inverted_index.semi-automatic | 82 |
| abstract_inverted_index.regional-to-local | 11 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.45293484 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |