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<registrant>The Open Journal</registrant> | ||
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<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
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<doi>10.21105/joss</doi> | ||
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<publication_date media_type="online"> | ||
<month>09</month> | ||
<year>2023</year> | ||
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<volume>8</volume> | ||
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<title>Geodata-Harvester: A Python package to jumpstart | ||
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<article_title>Google Earth Engine: Planetary-scale | ||
geospatial analysis for everyone</article_title> | ||
<author>Gorelick</author> | ||
<journal_title>Remote sensing of Environment</journal_title> | ||
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Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: | ||
Planetary-scale geospatial analysis for everyone. Remote Sensing of | ||
Environment, 202, 18–27. | ||
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<article_title>Using spatial interpolation to construct a | ||
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<author>Jeffrey</author> | ||
<journal_title>Environmental Modelling & | ||
Software</journal_title> | ||
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<volume>16</volume> | ||
<doi>10.1016/S1364-8152(01)00008-1</doi> | ||
<cYear>2001</cYear> | ||
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Moodie, K. B., & Beswick, A. R. (2001). Using spatial interpolation | ||
to construct a comprehensive archive of Australian climate data. | ||
Environmental Modelling & Software, 16(4), 309–330. | ||
https://doi.org/10.1016/S1364-8152(01)00008-1</unstructured_citation> | ||
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<article_title>Digital Earth Australia notebooks and tools | ||
repository</article_title> | ||
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<journal_title>Geoscience Australia</journal_title> | ||
<cYear>2021</cYear> | ||
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R., Adams, C., Burton, C., Alger, M., Chua, S., Phillips, C., Newey, V., | ||
Kouzoubov, K., & others. (2021). Digital Earth Australia notebooks | ||
and tools repository. Geoscience Australia.</unstructured_citation> | ||
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<article_title>Eemont: A Python package that extends Google | ||
Earth Engine</article_title> | ||
<author>Montero</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
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<volume>6</volume> | ||
<doi>10.21105/joss.03168</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Montero, D. (2021). Eemont: A Python | ||
package that extends Google Earth Engine. Journal of Open Source | ||
Software, 6(62), 3168. | ||
https://doi.org/10.21105/joss.03168</unstructured_citation> | ||
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<article_title>Spectral: Awesome Spectral Indices deployed | ||
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<author>David Montero</author> | ||
<journal_title>The International Archives of the | ||
Photogrammetry, Remote Sensing and Spatial Information | ||
Sciences</journal_title> | ||
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<cYear>2022</cYear> | ||
<unstructured_citation>David Montero, M. D. M., Cesar Aybar. | ||
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Engine JavaScript API. The International Archives of the Photogrammetry, | ||
Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022, | ||
301–306. | ||
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mapping with Google Earth Engine</article_title> | ||
<author>Wu</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>51</issue> | ||
<volume>5</volume> | ||
<doi>10.21105/joss.02305</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Wu, Q. (2020). Geemap: A Python | ||
package for interactive mapping with Google Earth Engine. Journal of | ||
Open Source Software, 5(51), 2305. | ||
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