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system:index
string
defo
int64
district
string
elevation
int64
label_std
int64
label_test_period
int64
label_train_period
int64
lat
float64
lon
float64
loss_any_2001_2024
int64
loss_first_year
int64
mean_elevation_m
int64
mean_slope_deg
float64
rain_last12m_total_mm
float64
rain_mean_annual_2000_2024_mm
float64
rand
float64
slope
int64
split
string
treecover2000
int64
0000000000000000045f_0
0
KBang
469
0
0
0
14.1835
108.575066
0
0
469
1.332211
2,894.318317
2,468.456626
0.278675
1
train
84
00000000000000000255_0
0
KBang
685
0
0
0
14.285368
108.546229
0
0
686
1.332521
3,283.608838
2,704.445332
0.682412
3
train
73
00000000000000000258_0
0
KBang
672
0
0
1
14.228233
108.429811
1
2,014
672
2.939815
3,484.595584
2,837.824403
0.520381
3
train
66
00000000000000000337_0
0
KBang
568
0
0
0
14.19994
108.559977
0
0
574
11.349603
2,988.904824
2,527.354326
0.687389
3
train
33
00000000000000000247_0
0
KBang
807
0
0
0
14.410682
108.32875
0
0
806
4.167796
3,774.622886
2,999.91987
0.004256
4
train
69
0000000000000000012c_0
1
MangYang
950
1
1
1
14.05389
108.204892
1
2,018
950
8.45293
3,120.450289
2,850.12903
0.123985
3
test
80
0000000000000000013f_0
1
MangYang
880
1
1
1
14.029849
108.192049
1
2,020
880
9.12398
3,050.120392
2,790.39201
0.589201
4
test
75
0000000000000000014a_0
0
MangYang
720
0
0
0
14.093829
108.259203
0
0
720
5.12039
2,980.502912
2,690.12039
0.892039
2
train
88

🌳 Vietnam Deforestation Risk Sample Dataset

A public derived demonstration dataset representing a subset of forest pixels in Gia Lai Province, Vietnam, configured for teaching, reproducibility audits, and modeling workflows.

Dataset Structure

  • system:index: Unique pixel identifier.
  • defo: Deforestation flag.
  • district: Ecological district (e.g. KBang or MangYang).
  • elevation / mean_elevation_m: Elevation in meters.
  • mean_slope_deg: Slope in degrees.
  • rain_last12m_total_mm: Annual precipitation.
  • treecover2000: Tree canopy density in the year 2000.
  • split: Dataset split allocation (train or test).

Intended Use

For testing and validating geospatial deforestation prediction models without distributing large raw GEE raster bands.

Licence

This dataset is published under the MIT License.

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Models trained or fine-tuned on MahdiFattahi/vietnam-deforestation-risk-sample