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2020 training data.zip (56.8 kB)
ARCHIVE
1976 training data.zip (26.02 kB)
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1976_LandCover_Raster.tif (2.09 MB)
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2020_LandCover_Raster.tif (2.1 MB)
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BetelNut_cost&benefit_summary.csv (4.46 kB)
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GEEScript_1976LandCoverClassification.rtf (59.87 kB)
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GEEscript_2020LandCoverClassification.rtf (65.66 kB)
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LandCover_Raster_ClassLabels.txt (0.27 kB)
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8 files

Supporting data for Understanding the Transition of Community Land Use from Shifting Cultivation to Cash Cropping in Southern Tanintharyi, Myanmar

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posted on 2024-01-31, 13:10 authored by Khin Htet Htet PyoneKhin Htet Htet Pyone, Ramiro CregoRamiro Crego, Saw San Ngwe, Saw Di Win, Katherine LaJeunesse Connette, Melissa Songer, Grant ConnetteGrant Connette

The files below are included as archived data. To cite these data or for further details, please reference the related Pyone et al., 2024 manuscript.

  • 2020_LandCover_Raster.tif - GIS raster layer for 2020 land cover classification (GeoTIFF format)
  • 1976_LandCover_Raster.tif - GIS raster layer for 1976 land cover classification (GeoTIFF format)
  • LandCover_Raster_ClassLabels.txt - Metadata providing land cover class names and IDs for raster datasets
  • 2020 Training Data.zip - Reference data used for model training and validation (zipped shapefile)
  • 1976 Training Data.zip - Reference data used for model training and validation (zipped shapefile)
  • GEEScript_2020LandCoverClassification.rtf - Google Earth Engine code for 2020 land cover classification
  • GEEScript_1976LandCoverClassification.rtf - Google Earth Engine code for 1976 land cover classification
  • BetelNut_cost&benefit_summary.csv - Summary of reported betel nut cash flow details (costs and revenue)

Funding

This research was funded by the Smithsonian Conservation Commons Working Land & Seascapes Amplification and Innovation Award [grant number WLS-2020-11]

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