4,241 to 4,250 of 4,524 Results
May 13, 2020 -
Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
MATLAB Source Code - 1.3 KB -
MD5: 7d3ee75ecb87fe7387292a82207d4a2d
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May 13, 2020 -
Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
MATLAB Source Code - 1.1 KB -
MD5: b0f8bfc931be2a578dc64593686e2e13
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Apr 16, 2020 - Mapping Oil Palm GEE
Lee, Ser Huay Janice Teresa, 2020, "Google Earth Engine code", https://doi.org/10.21979/N9/1T6AGL, DR-NTU (Data), V1
Code used in Google Earth Engine to collect, process and classify radar and optical imagery. Github depository: link |
Apr 16, 2020 -
Google Earth Engine code
MS Word - 67.3 KB -
MD5: 3630846f8620aa64bfd18df4a10c6ca7
Code for mapping oil palm |
Apr 16, 2020 -
Google Earth Engine code
Plain Text - 6.9 KB -
MD5: 65d3616852dbf7b1a6d4b53b00626032
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Apr 16, 2020 -
Google Earth Engine code
Markdown Text - 91 B -
MD5: 399ab8f0a2bd39a5326ee4327d12a038
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Apr 16, 2020 Lee Ser Huay Janice Teresa
Datasets available in this folder are from the article: Please cite this article if any of the following datasets were being used. Sarzynski T, Giam X, Carrasco L, Lee JSH. (2020) Combining radar and optical imagery to map oil palm plantations in Sumatra, Indonesia using Google E... |
Mar 30, 2020 - Timothy Adam Shaw
Shaw, Timothy Adam; Horton, Benjamin Peter, 2020, "Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment", https://doi.org/10.21979/N9/JBCF2Q, DR-NTU (Data), V1, UNF:6:gi+pBadty7560O3sZeGssg== [fileUNF]
Raw data used in compilation of the estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment |
Mar 30, 2020 -
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment
MS Excel Spreadsheet - 71.5 KB -
MD5: b9e2545adcf5250771c2230ed03618d8
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Mar 30, 2020 -
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment
Tabular Data - 498 B - 10 Variables, 5 Observations - UNF:6:gi+pBadty7560O3sZeGssg==
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