Dataset

Annual Land-Use and Land-Cover Maps across Mainland Vietnam from 1990 to 2020
(Released in September 2021 / Version 21.09) 

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1. Summary

Large-scale Land-Use Land-Cover (LULC) information is utilized for various practical applications such as resource and ecosystem management. We have first created Vietnam-wide 30-m annual LULC data sets (VLUCDs), using a random-forest-based algorithm and multiple informative geospatial data sources, including Landsat and Sentinel-1 and -2 imagery. The VLUCDs contain annual land cover products from 1990 to 2020, including a level-1 layer with 10 different classes of primary dominant LULC, and a level-2 layer with 18 different classes of secondary dominant LULC in Vietnam. They are independently validated with field surveys and visual interpretation data. The overall accuracy of the level-1 layer ranges from 86 % to 92 %, and the level-2 layer ranges from 78 % to 85 %. Herein, we provide approximately 30-m spatial resolution and 250-m spatial resolution products. The 250-m spatial resolution product is derived from the original 30-m spatial resolution using a “mode” resampling method. That is, a land type of a pixel is decided based on the major percentage of the land type with the pixel. For more information regarding the detailed creation approach of the VLUCDs, kindly refer to the references below [6. References].

2. Data used for creating the map

  • Data 1: Sentinel-1 SAR GRD
  • Data 2: Sentinel-2 MSI Level-2A
  • Data 3: Landsat 8 OLI (Collection 1)
  • Data 4: Landsat 7 ETM+ (Collection 1)
  • Data 5: Landsat 5 and 4 TM (Collection 1)
  • Data 6: Ground survey data, inventory data, and visual interpretation of satellite data (130,000 sites)
  • Data 7: ALOS PRISM Digital Surface Model (AW3D DSM) are used to calculate slope, aspect, and elevation
  • Data 8: Covariates and indices derived from the data 2, 3, 4, and 5
  • Data 9: Ancillary data including distance to rivers, coastlines, transport systems, and buildings

3. Classification algorithm

Random Forest with post-classification optimization [References 1 and 2]

4. Data format

Period of coverage 1990 to 2020 (each year)
Coordinate system Geographic latitude and longitude coordinates (WGS84)
File size 27,916 pixels x 55,526 lines
Mesh size 0.000269494524118 degree × 0.000269494524118 degree
(corresponding to approximately 30 m × 30 m)
Directory and file naming convention 1990_2020VNM_v21.09_L1
       |-- VLUCD_L1_30m_2020.tif
(In the above case, the product created for the Vietnam area in the years 1990 to 2020, released in September 2021(level 1), refers to a range of 22 to 23 degrees north latitude and 105 to 106 degrees east longitude.)
- "VLUCD" indicates the coordinate of the Vietnam-wide land use/cover database.
- "L1" indicates level one of the map with 10 different classes of primary dominant land use/cover in Vietnam.
- "30m" indicates the 30-m spatial resolution of the map.
- "2020" indicates the mapping year that is 2020.
Format GeoTIFF format
Number of files
(file x period x level)
1 x 31 x 2

The value of each pixel indicates a single classified land cover type. It depends on the level of the map as follows:

5. Accuracy assessment

Figure 1. The overall accuracy (OA) and uncertainty of the Vietnam-wide annual land use/cover maps. The OA is estimated by using a confusion matrix and a stratified random sampling method with independent samples (1050 sites/LULC class). Bars indicate the uncertainties of the OA measured with a 95% confidence interval.

Figure 2. Spatial-temporal dynamics (left) and change pattern (right) of several dominant land types, namely the residential land (A), aquaculture land (B), and forests land (C) in Vietnam from 1990 to 2020.

6. References

Acknowledgements

  • AW3D30 data were provided by courtesy of JAXA and support from the Remote Sensing Technology Renter of Japan
  • Multi-temporal Landsat and SRTM data provided by courtesy of the U.S. Geological Survey
  • Base map and data from OpenStreetMap and OpenStreetMap Foundation. Data archives and processing services provided by courtesy of Google Earth Engine, General Statistics Office of Vietnam, and World Pop
  • The Project for Human Resource Development Scholarship by Japanese Grant Aid (JDS)