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Collect Earth: An online tool for systematic reference data collection in land cover and use applications.

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Title: Collect Earth: An online tool for systematic reference data collection in land cover and use applications.
Authors: Saah, David1,2,3 (AUTHOR), Johnson, Gary1 (AUTHOR), Ashmall, Billy4 (AUTHOR), Tondapu, Githika4 (AUTHOR), Tenneson, Karis1 (AUTHOR), Patterson, Matt5 (AUTHOR), Poortinga, Ate1 (AUTHOR), Markert, Kel4,6 (AUTHOR), Quyen, Nguyen Hanh7 (AUTHOR), San Aung, Khun7 (AUTHOR), Schlichting, Lena5 (AUTHOR), Matin, Mir8 (AUTHOR), Uddin, Kabir8 (AUTHOR), Aryal, Raja Ram9 (AUTHOR), Dilger, John1 (AUTHOR), Lee Ellenburg, Water4,6 (AUTHOR), Flores-Anderson, Africa Ixmucane4,6 (AUTHOR), Wiell, Daniel10 (AUTHOR), Lindquist, Erik10 (AUTHOR), Goldstein, Joshua5 (AUTHOR)
Source: Environmental Modelling & Software. Aug2019, Vol. 118, p166-171. 6p.
Subject Terms: *Land cover, *Land use, Normalized difference vegetation index, Acquisition of data, Data entry
Geographic Terms: Myanmar
Company/Entity: Google Inc. , United States. National Aeronautics & Space Administration
Abstract: Land cover monitoring efforts are important for resource planning and ecosystem services in many countries. Collect Earth Online (CEO) is a new, free open source and user-friendly software tool for land monitoring. It is the product of a collaborative effort between NASA, Food and Agriculture Organization of the United Nations (FAO), US Forest Service and Google. This paper provides a full overview of CEO's structure and functionality. Based on the cloud, CEO's structure supports simultaneous data entry by multiple users. No desktop installation is required and only an internet connection is required setting minimal requirements for using the software. Google Earth Engine widgets can be created for assisted plot interpretation such as image collection, time series graphs featuring indices such as Normalized Difference Vegetation Index (NDVI) and related statistics. We also provide a case study and related findings from a CEO workshop held in Myanmar. • Collect Earth Online (CEO) is a new, free, open source tool for land monitoring. • It is built on joint efforts between NASA, FAO, US Forest Service and Google. • CEO is free and meets key reference data collection requirements for practitioners. • It is a robust, integrated approach for data collection in collaborative settings. • A case study using CEO for reference data collection in Myanmar is presented. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Collect Earth: An online tool for systematic reference data collection in land cover and use applications.
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  Data: <searchLink fieldCode="AR" term="%22Saah%2C+David%22">Saah, David</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Johnson%2C+Gary%22">Johnson, Gary</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ashmall%2C+Billy%22">Ashmall, Billy</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tondapu%2C+Githika%22">Tondapu, Githika</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tenneson%2C+Karis%22">Tenneson, Karis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Patterson%2C+Matt%22">Patterson, Matt</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poortinga%2C+Ate%22">Poortinga, Ate</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Markert%2C+Kel%22">Markert, Kel</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quyen%2C+Nguyen+Hanh%22">Quyen, Nguyen Hanh</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22San+Aung%2C+Khun%22">San Aung, Khun</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schlichting%2C+Lena%22">Schlichting, Lena</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matin%2C+Mir%22">Matin, Mir</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Uddin%2C+Kabir%22">Uddin, Kabir</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aryal%2C+Raja+Ram%22">Aryal, Raja Ram</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dilger%2C+John%22">Dilger, John</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee+Ellenburg%2C+Water%22">Lee Ellenburg, Water</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Flores-Anderson%2C+Africa+Ixmucane%22">Flores-Anderson, Africa Ixmucane</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wiell%2C+Daniel%22">Wiell, Daniel</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lindquist%2C+Erik%22">Lindquist, Erik</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goldstein%2C+Joshua%22">Goldstein, Joshua</searchLink><relatesTo>5</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Aug2019, Vol. 118, p166-171. 6p.
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  Data: *<searchLink fieldCode="DE" term="%22Land+cover%22">Land cover</searchLink><br />*<searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Normalized+difference+vegetation+index%22">Normalized difference vegetation index</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Data+entry%22">Data entry</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Land cover monitoring efforts are important for resource planning and ecosystem services in many countries. Collect Earth Online (CEO) is a new, free open source and user-friendly software tool for land monitoring. It is the product of a collaborative effort between NASA, Food and Agriculture Organization of the United Nations (FAO), US Forest Service and Google. This paper provides a full overview of CEO's structure and functionality. Based on the cloud, CEO's structure supports simultaneous data entry by multiple users. No desktop installation is required and only an internet connection is required setting minimal requirements for using the software. Google Earth Engine widgets can be created for assisted plot interpretation such as image collection, time series graphs featuring indices such as Normalized Difference Vegetation Index (NDVI) and related statistics. We also provide a case study and related findings from a CEO workshop held in Myanmar. • Collect Earth Online (CEO) is a new, free, open source tool for land monitoring. • It is built on joint efforts between NASA, FAO, US Forest Service and Google. • CEO is free and meets key reference data collection requirements for practitioners. • It is a robust, integrated approach for data collection in collaborative settings. • A case study using CEO for reference data collection in Myanmar is presented. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=136805763
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        Value: 10.1016/j.envsoft.2019.05.004
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 166
    Subjects:
      – SubjectFull: Land cover
        Type: general
      – SubjectFull: Land use
        Type: general
      – SubjectFull: Normalized difference vegetation index
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      – SubjectFull: Acquisition of data
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      – SubjectFull: Data entry
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      – SubjectFull: Myanmar
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      – SubjectFull: Google Inc.
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      – SubjectFull: United States. National Aeronautics & Space Administration
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