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MATLAB Data - 3.9 MB - MD5: 3ebbfe926581186b9f4cc8710d8cedef
output_Mentawai_doy298
MATLAB Data - 3.4 MB - MD5: 97c929c6f808098a93540d54c47bbfbe
output_Mentawai_doy298
MATLAB Source Code - 18.9 KB - MD5: 85a8a3c38548c2876ab418aff8fc94d3
MATLAB Source Code - 1.3 KB - MD5: 7d3ee75ecb87fe7387292a82207d4a2d
MATLAB Source Code - 1.1 KB - MD5: b0f8bfc931be2a578dc64593686e2e13
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
Apr 16, 2020 - Google Earth Engine code
Markdown Text - 91 B - MD5: 399ab8f0a2bd39a5326ee4327d12a038
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
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