Phenomena Portal: Large- Scale Visual Exploration of Atmospheric Phenomena Article Swipe
Muthukumaran Ramasubramanian
,
Iksha Gurung
,
Brian Freitag
,
Aaron Kaulfus
,
Manil Maskey
,
Rahul Ramachandran
,
Andrew Bollinger
,
Ricardo Mestre
,
D. E. da Silva
,
Alice Ruehl
,
V. Sarago
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.13016/m2opmo-jdho
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.13016/m2opmo-jdho
The Earth science community is experiencing a high influx of remote sensing data due to recent advancements in sensor technology. This enables the community to extend their research on a larger scale than ever before. Unfortunately, traditional data processing techniques do not scale well to these new, high volume data sources. State-of-the-art machine learning (ML) pipelines have been proven to overcome these burdens in various other fields but are underexploited within the physical sciences community. Moreover, ML is reliant on labeled data, which is currently sparsely available, owing to the fact that ML adoption is still in the early stages within the Earth and atmospheric science communities. To address these issues, we developed the Phenomena Portal, a visual exploration tool that uses ML to detect various atmospheric phenomena on a global scale. This allows the Earth and atmospheric science communities to view trends of occurrences of phenomena, identify potential relationships between them, and analyze spatiotemporal patterns over time. These detections can also serve as initial labeled data for ML research pertaining to the respective phenomena. The tool also incorporates feedback from subject matter experts to further improve the model detection accuracy, thereby facilitating human-in-the-loop. This presentation will provide an overview of the ML model development and cloud deployment. We also discuss the capabilities of the user interface for displaying the detections.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/11603/36778
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3157724147
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3157724147Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.13016/m2opmo-jdhoDigital Object Identifier
- Title
-
Phenomena Portal: Large- Scale Visual Exploration of Atmospheric PhenomenaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-09Full publication date if available
- Authors
-
Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Manil Maskey, Rahul Ramachandran, Andrew Bollinger, Ricardo Mestre, D. E. da Silva, Alice Ruehl, V. SaragoList of authors in order
- Landing page
-
https://hdl.handle.net/11603/36778Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11603/36778Direct OA link when available
- Concepts
-
Scale (ratio), Environmental science, Geology, Astrobiology, Computer science, Geography, Cartography, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3157724147 |
|---|---|
| doi | https://doi.org/10.13016/m2opmo-jdho |
| ids.doi | https://doi.org/10.13016/m2opmo-jdho |
| ids.mag | 3157724147 |
| ids.openalex | https://openalex.org/W3157724147 |
| fwci | 0.0 |
| type | article |
| title | Phenomena Portal: Large- Scale Visual Exploration of Atmospheric Phenomena |
| biblio.issue | |
| biblio.volume | 2020 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10799 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9151999950408936 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Data Visualization and Analytics |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2778755073 |
| concepts[0].level | 2 |
| concepts[0].score | 0.589177668094635 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[0].display_name | Scale (ratio) |
| concepts[1].id | https://openalex.org/C39432304 |
| concepts[1].level | 0 |
| concepts[1].score | 0.4236817955970764 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[1].display_name | Environmental science |
| concepts[2].id | https://openalex.org/C127313418 |
| concepts[2].level | 0 |
| concepts[2].score | 0.4056837260723114 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[2].display_name | Geology |
| concepts[3].id | https://openalex.org/C87355193 |
| concepts[3].level | 1 |
| concepts[3].score | 0.36329078674316406 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q411 |
| concepts[3].display_name | Astrobiology |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.33326223492622375 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C205649164 |
| concepts[5].level | 0 |
| concepts[5].score | 0.2961180806159973 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[5].display_name | Geography |
| concepts[6].id | https://openalex.org/C58640448 |
| concepts[6].level | 1 |
| concepts[6].score | 0.16014158725738525 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[6].display_name | Cartography |
| concepts[7].id | https://openalex.org/C121332964 |
| concepts[7].level | 0 |
| concepts[7].score | 0.14234793186187744 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[7].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/scale |
| keywords[0].score | 0.589177668094635 |
| keywords[0].display_name | Scale (ratio) |
| keywords[1].id | https://openalex.org/keywords/environmental-science |
| keywords[1].score | 0.4236817955970764 |
| keywords[1].display_name | Environmental science |
| keywords[2].id | https://openalex.org/keywords/geology |
| keywords[2].score | 0.4056837260723114 |
| keywords[2].display_name | Geology |
| keywords[3].id | https://openalex.org/keywords/astrobiology |
| keywords[3].score | 0.36329078674316406 |
| keywords[3].display_name | Astrobiology |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.33326223492622375 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/geography |
| keywords[5].score | 0.2961180806159973 |
| keywords[5].display_name | Geography |
| keywords[6].id | https://openalex.org/keywords/cartography |
| keywords[6].score | 0.16014158725738525 |
| keywords[6].display_name | Cartography |
| keywords[7].id | https://openalex.org/keywords/physics |
| keywords[7].score | 0.14234793186187744 |
| keywords[7].display_name | Physics |
| language | en |
| locations[0].id | pmh:oai:mdsoar.org:11603/36778 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402556 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | public-domain |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | Text |
| locations[0].license_id | https://openalex.org/licenses/public-domain |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://hdl.handle.net/11603/36778 |
| locations[1].id | mag:3157724147 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306501062 |
| locations[1].source.issn | |
| locations[1].source.type | journal |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | True |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | AGU Fall Meeting Abstracts |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | AGU Fall Meeting Abstracts |
| locations[1].landing_page_url | https://ui.adsabs.harvard.edu/abs/2020AGUFMIN028..08R/abstract |
| locations[2].id | doi:10.13016/m2opmo-jdho |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306402644 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Digital Repository at the University of Maryland (University of Maryland College Park) |
| locations[2].source.host_organization | https://openalex.org/I66946132 |
| locations[2].source.host_organization_name | University of Maryland, College Park |
| locations[2].source.host_organization_lineage | https://openalex.org/I66946132 |
| locations[2].license | public-domain |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article-journal |
| locations[2].license_id | https://openalex.org/licenses/public-domain |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.13016/m2opmo-jdho |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5024141403 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5293-8349 |
| authorships[0].author.display_name | Muthukumaran Ramasubramanian |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I82495205 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Alabama in Huntsville |
| authorships[0].institutions[0].id | https://openalex.org/I82495205 |
| authorships[0].institutions[0].ror | https://ror.org/02zsxwr40 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I82495205 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Alabama in Huntsville |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Muthukumaran Ramasubramanian |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Alabama in Huntsville |
| authorships[1].author.id | https://openalex.org/A5032520715 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5124-8856 |
| authorships[1].author.display_name | Iksha Gurung |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I82495205 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Alabama in Huntsville |
| authorships[1].institutions[0].id | https://openalex.org/I82495205 |
| authorships[1].institutions[0].ror | https://ror.org/02zsxwr40 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I82495205 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of Alabama in Huntsville |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Iksha Gurung |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Alabama in Huntsville |
| authorships[2].author.id | https://openalex.org/A5080179674 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3642-7041 |
| authorships[2].author.display_name | Brian Freitag |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1294504835 |
| authorships[2].affiliations[0].raw_affiliation_string | NASA -Marshall Space Flight Center |
| authorships[2].institutions[0].id | https://openalex.org/I1294504835 |
| authorships[2].institutions[0].ror | https://ror.org/02epydz83 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1294504835, https://openalex.org/I4210124779 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Marshall Space Flight Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Brian Freitag |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | NASA -Marshall Space Flight Center |
| authorships[3].author.id | https://openalex.org/A5062656814 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-8319-1126 |
| authorships[3].author.display_name | Aaron Kaulfus |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1294504835 |
| authorships[3].affiliations[0].raw_affiliation_string | NASA -Marshall Space Flight Center |
| authorships[3].institutions[0].id | https://openalex.org/I1294504835 |
| authorships[3].institutions[0].ror | https://ror.org/02epydz83 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I1294504835, https://openalex.org/I4210124779 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Marshall Space Flight Center |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Aaron S Kaulfus |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | NASA -Marshall Space Flight Center |
| authorships[4].author.id | https://openalex.org/A5002530990 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5087-6903 |
| authorships[4].author.display_name | Manil Maskey |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I82495205 |
| authorships[4].affiliations[0].raw_affiliation_string | University of Alabama in Huntsville |
| authorships[4].institutions[0].id | https://openalex.org/I82495205 |
| authorships[4].institutions[0].ror | https://ror.org/02zsxwr40 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I82495205 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | University of Alabama in Huntsville |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Manil Maskey |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | University of Alabama in Huntsville |
| authorships[5].author.id | https://openalex.org/A5010966122 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-0647-1941 |
| authorships[5].author.display_name | Rahul Ramachandran |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1294504835 |
| authorships[5].affiliations[0].raw_affiliation_string | NASA -Marshall Space Flight Center |
| authorships[5].institutions[0].id | https://openalex.org/I1294504835 |
| authorships[5].institutions[0].ror | https://ror.org/02epydz83 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I1294504835, https://openalex.org/I4210124779 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Marshall Space Flight Center |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Rahul Ramachandran |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | NASA -Marshall Space Flight Center |
| authorships[6].author.id | https://openalex.org/A5007850662 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Andrew Bollinger |
| authorships[6].affiliations[0].raw_affiliation_string | Development Seed |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Andrew Bollinger |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Development Seed |
| authorships[7].author.id | https://openalex.org/A5041335197 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-0991-0222 |
| authorships[7].author.display_name | Ricardo Mestre |
| authorships[7].affiliations[0].raw_affiliation_string | Development Seed |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Ricardo Mestre |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Development Seed |
| authorships[8].author.id | https://openalex.org/A5001571172 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-7537-3539 |
| authorships[8].author.display_name | D. E. da Silva |
| authorships[8].affiliations[0].raw_affiliation_string | Development Seed |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Daniel Silva |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Development Seed |
| authorships[9].author.id | https://openalex.org/A5025861725 |
| authorships[9].author.orcid | |
| authorships[9].author.display_name | Alice Ruehl |
| authorships[9].affiliations[0].raw_affiliation_string | Developmentseed |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Alice Ruehl |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Developmentseed |
| authorships[10].author.id | https://openalex.org/A5089922162 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | V. Sarago |
| authorships[10].affiliations[0].raw_affiliation_string | Developmentseed |
| authorships[10].author_position | last |
| authorships[10].raw_author_name | Vncent Sarago |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Developmentseed |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://hdl.handle.net/11603/36778 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Phenomena Portal: Large- Scale Visual Exploration of Atmospheric Phenomena |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10799 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9151999950408936 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Data Visualization and Analytics |
| related_works | https://openalex.org/W3186667493, https://openalex.org/W3192237261, https://openalex.org/W3204363228, https://openalex.org/W3034449231, https://openalex.org/W3212774014, https://openalex.org/W3006519312, https://openalex.org/W3035806342, https://openalex.org/W3015120439, https://openalex.org/W3028166878, https://openalex.org/W3207910079, https://openalex.org/W2996303490, https://openalex.org/W3012228324, https://openalex.org/W3021560190, https://openalex.org/W3043581377, https://openalex.org/W2982872620, https://openalex.org/W3036782320, https://openalex.org/W3210286552, https://openalex.org/W3035126278, https://openalex.org/W3093138972, https://openalex.org/W3012186021 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:mdsoar.org:11603/36778 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402556 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| 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 | Maryland Shared Open Access Repository (USMAI Consortium) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | public-domain |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | https://openalex.org/licenses/public-domain |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://hdl.handle.net/11603/36778 |
| primary_location.id | pmh:oai:mdsoar.org:11603/36778 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402556 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | public-domain |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | Text |
| primary_location.license_id | https://openalex.org/licenses/public-domain |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://hdl.handle.net/11603/36778 |
| publication_date | 2020-11-09 |
| publication_year | 2020 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 6, 29, 116, 129 |
| abstract_inverted_index.ML | 76, 92, 122, 168, 202 |
| abstract_inverted_index.To | 107 |
| abstract_inverted_index.We | 208 |
| abstract_inverted_index.an | 198 |
| abstract_inverted_index.as | 163 |
| abstract_inverted_index.do | 40 |
| abstract_inverted_index.in | 17, 63, 96 |
| abstract_inverted_index.is | 4, 77, 83, 94 |
| abstract_inverted_index.of | 9, 143, 145, 200, 213 |
| abstract_inverted_index.on | 28, 79, 128 |
| abstract_inverted_index.to | 14, 24, 44, 59, 88, 123, 140, 171, 184 |
| abstract_inverted_index.we | 111 |
| abstract_inverted_index.The | 0, 175 |
| abstract_inverted_index.and | 103, 136, 152, 205 |
| abstract_inverted_index.are | 68 |
| abstract_inverted_index.but | 67 |
| abstract_inverted_index.can | 160 |
| abstract_inverted_index.due | 13 |
| abstract_inverted_index.for | 167, 217 |
| abstract_inverted_index.not | 41 |
| abstract_inverted_index.the | 22, 71, 89, 97, 101, 113, 134, 172, 187, 201, 211, 214, 219 |
| abstract_inverted_index.(ML) | 54 |
| abstract_inverted_index.This | 20, 132, 194 |
| abstract_inverted_index.also | 161, 177, 209 |
| abstract_inverted_index.been | 57 |
| abstract_inverted_index.data | 12, 37, 49, 166 |
| abstract_inverted_index.ever | 33 |
| abstract_inverted_index.fact | 90 |
| abstract_inverted_index.from | 180 |
| abstract_inverted_index.have | 56 |
| abstract_inverted_index.high | 7, 47 |
| abstract_inverted_index.new, | 46 |
| abstract_inverted_index.over | 156 |
| abstract_inverted_index.than | 32 |
| abstract_inverted_index.that | 91, 120 |
| abstract_inverted_index.tool | 119, 176 |
| abstract_inverted_index.user | 215 |
| abstract_inverted_index.uses | 121 |
| abstract_inverted_index.view | 141 |
| abstract_inverted_index.well | 43 |
| abstract_inverted_index.will | 196 |
| abstract_inverted_index.Earth | 1, 102, 135 |
| abstract_inverted_index.These | 158 |
| abstract_inverted_index.cloud | 206 |
| abstract_inverted_index.data, | 81 |
| abstract_inverted_index.early | 98 |
| abstract_inverted_index.model | 188, 203 |
| abstract_inverted_index.other | 65 |
| abstract_inverted_index.owing | 87 |
| abstract_inverted_index.scale | 31, 42 |
| abstract_inverted_index.serve | 162 |
| abstract_inverted_index.still | 95 |
| abstract_inverted_index.their | 26 |
| abstract_inverted_index.them, | 151 |
| abstract_inverted_index.these | 45, 61, 109 |
| abstract_inverted_index.time. | 157 |
| abstract_inverted_index.which | 82 |
| abstract_inverted_index.allows | 133 |
| abstract_inverted_index.detect | 124 |
| abstract_inverted_index.extend | 25 |
| abstract_inverted_index.fields | 66 |
| abstract_inverted_index.global | 130 |
| abstract_inverted_index.influx | 8 |
| abstract_inverted_index.larger | 30 |
| abstract_inverted_index.matter | 182 |
| abstract_inverted_index.proven | 58 |
| abstract_inverted_index.recent | 15 |
| abstract_inverted_index.remote | 10 |
| abstract_inverted_index.scale. | 131 |
| abstract_inverted_index.sensor | 18 |
| abstract_inverted_index.stages | 99 |
| abstract_inverted_index.trends | 142 |
| abstract_inverted_index.visual | 117 |
| abstract_inverted_index.volume | 48 |
| abstract_inverted_index.within | 70, 100 |
| abstract_inverted_index.Portal, | 115 |
| abstract_inverted_index.address | 108 |
| abstract_inverted_index.analyze | 153 |
| abstract_inverted_index.before. | 34 |
| abstract_inverted_index.between | 150 |
| abstract_inverted_index.burdens | 62 |
| abstract_inverted_index.discuss | 210 |
| abstract_inverted_index.enables | 21 |
| abstract_inverted_index.experts | 183 |
| abstract_inverted_index.further | 185 |
| abstract_inverted_index.improve | 186 |
| abstract_inverted_index.initial | 164 |
| abstract_inverted_index.issues, | 110 |
| abstract_inverted_index.labeled | 80, 165 |
| abstract_inverted_index.machine | 52 |
| abstract_inverted_index.provide | 197 |
| abstract_inverted_index.reliant | 78 |
| abstract_inverted_index.science | 2, 105, 138 |
| abstract_inverted_index.sensing | 11 |
| abstract_inverted_index.subject | 181 |
| abstract_inverted_index.thereby | 191 |
| abstract_inverted_index.various | 64, 125 |
| abstract_inverted_index.adoption | 93 |
| abstract_inverted_index.feedback | 179 |
| abstract_inverted_index.identify | 147 |
| abstract_inverted_index.learning | 53 |
| abstract_inverted_index.overcome | 60 |
| abstract_inverted_index.overview | 199 |
| abstract_inverted_index.patterns | 155 |
| abstract_inverted_index.physical | 72 |
| abstract_inverted_index.research | 27, 169 |
| abstract_inverted_index.sciences | 73 |
| abstract_inverted_index.sources. | 50 |
| abstract_inverted_index.sparsely | 85 |
| abstract_inverted_index.Moreover, | 75 |
| abstract_inverted_index.Phenomena | 114 |
| abstract_inverted_index.accuracy, | 190 |
| abstract_inverted_index.community | 3, 23 |
| abstract_inverted_index.currently | 84 |
| abstract_inverted_index.detection | 189 |
| abstract_inverted_index.developed | 112 |
| abstract_inverted_index.interface | 216 |
| abstract_inverted_index.phenomena | 127 |
| abstract_inverted_index.pipelines | 55 |
| abstract_inverted_index.potential | 148 |
| abstract_inverted_index.available, | 86 |
| abstract_inverted_index.community. | 74 |
| abstract_inverted_index.detections | 159 |
| abstract_inverted_index.displaying | 218 |
| abstract_inverted_index.pertaining | 170 |
| abstract_inverted_index.phenomena, | 146 |
| abstract_inverted_index.phenomena. | 174 |
| abstract_inverted_index.processing | 38 |
| abstract_inverted_index.respective | 173 |
| abstract_inverted_index.techniques | 39 |
| abstract_inverted_index.atmospheric | 104, 126, 137 |
| abstract_inverted_index.communities | 139 |
| abstract_inverted_index.deployment. | 207 |
| abstract_inverted_index.detections. | 220 |
| abstract_inverted_index.development | 204 |
| abstract_inverted_index.exploration | 118 |
| abstract_inverted_index.occurrences | 144 |
| abstract_inverted_index.technology. | 19 |
| abstract_inverted_index.traditional | 36 |
| abstract_inverted_index.advancements | 16 |
| abstract_inverted_index.capabilities | 212 |
| abstract_inverted_index.communities. | 106 |
| abstract_inverted_index.experiencing | 5 |
| abstract_inverted_index.facilitating | 192 |
| abstract_inverted_index.incorporates | 178 |
| abstract_inverted_index.presentation | 195 |
| abstract_inverted_index.relationships | 149 |
| abstract_inverted_index.Unfortunately, | 35 |
| abstract_inverted_index.spatiotemporal | 154 |
| abstract_inverted_index.underexploited | 69 |
| abstract_inverted_index.State-of-the-art | 51 |
| abstract_inverted_index.human-in-the-loop. | 193 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.18839791 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |