|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: id_val |
|
path: data/id_val-* |
|
- split: id_test |
|
path: data/id_test-* |
|
- split: val |
|
path: data/val-* |
|
- split: test |
|
path: data/test-* |
|
dataset_info: |
|
features: |
|
- name: image |
|
sequence: |
|
sequence: |
|
sequence: float32 |
|
- name: label |
|
dtype: int64 |
|
- name: lat |
|
dtype: float64 |
|
- name: lon |
|
dtype: float64 |
|
- name: wealthpooled |
|
dtype: float64 |
|
- name: country |
|
dtype: int64 |
|
- name: year |
|
dtype: int64 |
|
- name: urban |
|
dtype: bool |
|
- name: nl_mean |
|
dtype: float64 |
|
- name: nl_center |
|
dtype: float64 |
|
- name: households |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 15801660900.87406 |
|
num_examples: 9797 |
|
- name: id_val |
|
num_bytes: 1611295216.9003966 |
|
num_examples: 999 |
|
- name: id_test |
|
num_bytes: 1612908125.025422 |
|
num_examples: 1000 |
|
- name: val |
|
num_bytes: 6304857860.724375 |
|
num_examples: 3909 |
|
- name: test |
|
num_bytes: 6391954899.475747 |
|
num_examples: 3963 |
|
download_size: 16974411052 |
|
dataset_size: 31722677003 |
|
license: other |
|
license_details: LandSat/DMSP/VIIRS data is U.S. Public Domain |
|
task_categories: |
|
- image-classification |
|
tags: |
|
- map |
|
- poverty |
|
- satellite |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
|
|
# PovertyMap-Wilds: Poverty mapping across different countries |
|
|
|
 |
|
|
|
## Dataset Description |
|
|
|
- **Homepage**: [github.com:sustainlab-group/africa_poverty](https://github.com/sustainlab-group/africa_poverty) |
|
- **DOI**: https://doi.org/10.1038/s41467-020-16185-w |
|
- **Publication Date** 2020-05-22 |
|
|
|
## Description |
|
|
|
This is a processed version of LandSat 5/7/8 satellite imagery originally from Google Earth Engine under the names `LANDSAT/LC08/C01/T1_SR`,`LANDSAT/LE07/C01/T1_SR`,`LANDSAT/LT05/C01/T1_SR`, |
|
nighttime light imagery from the DMSP and VIIRS satellites (Google Earth Engine names `NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4` and `NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG`) |
|
and processed DHS survey metadata obtained from https://github.com/sustainlab-group/africa_poverty and originally from `https://dhsprogram.com/data/available-datasets.cfm`. |
|
|
|
## Citation |
|
|
|
```bibtex |
|
@article{yeh2020using, |
|
author = {Yeh, Christopher and Perez, Anthony and Driscoll, Anne and Azzari, George and Tang, Zhongyi and Lobell, David and Ermon, Stefano and Burke, Marshall}, |
|
day = {22}, |
|
doi = {10.1038/s41467-020-16185-w}, |
|
issn = {2041-1723}, |
|
journal = {Nature Communications}, |
|
month = {5}, |
|
number = {1}, |
|
title = {{Using publicly available satellite imagery and deep learning to understand economic well-being in Africa}}, |
|
url = {https://www.nature.com/articles/s41467-020-16185-w}, |
|
volume = {11}, |
|
year = {2020} |
|
} |
|
``` |
|
|
