Ten simple rules for working with high resolution remote sensing data Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.31219/osf.io/kehqz
Researchers in Earth and environmental science can extract incredible value from high-resolution (sub-meter, sub-hourly or hyper-spectral) remote sensing data, but these data can be difficult to use. Correct, appropriate and competent use of such data requires skills from remote sensing and the data sciences that are rarely taught together. In practice, many researchers teach themselves how to use high-resolution remote sensing data with ad hoc trial and error processes, often resulting in wasted effort and resources. In order to implement a consistent strategy, we outline ten “rules” with examples from Earth and environmental science to help researchers and professionals in industry work more effectively and competently with high-resolution data.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31219/osf.io/kehqz
- https://osf.io/kehqz/download
- OA Status
- gold
- Cited By
- 2
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4239996419
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4239996419Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31219/osf.io/kehqzDigital Object Identifier
- Title
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Ten simple rules for working with high resolution remote sensing dataWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-04-01Full publication date if available
- Authors
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Adam L. Mahood, Maxwell B. Joseph, Anna I. Spiers, Michael J. Koontz, Nayani Ilangakoon, Kylen Solvik, Nathan Quarderer, Joseph McGlinchy, Victoria Scholl, Lise A. St. Denis, Chelsea Nagy, Anna Braswell, Matthew W. Rossi, Lauren Herwehe, Leah Wasser, Megan E. Cattau, Virginia Iglesias, Fangfang Yao, Stefan Leyk, Jennifer K. BalchList of authors in order
- Landing page
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https://doi.org/10.31219/osf.io/kehqzPublisher landing page
- PDF URL
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https://osf.io/kehqz/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://osf.io/kehqz/downloadDirect OA link when available
- Concepts
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Remote sensing, Computer science, Data science, Resolution (logic), Earth remote sensing, Simple (philosophy), Earth observation, High resolution, Engineering, Artificial intelligence, Geography, Aerospace engineering, Epistemology, Philosophy, SatelliteTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
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-
2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
91Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.work | 101 |
| abstract_inverted_index.Earth | 2, 90 |
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| abstract_inverted_index.data. | 108 |
| abstract_inverted_index.error | 67 |
| abstract_inverted_index.often | 69 |
| abstract_inverted_index.order | 77 |
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| abstract_inverted_index.industry | 100 |
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| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5072480320 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 20 |
| corresponding_institution_ids | https://openalex.org/I188538660 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.4945004 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |