---
language:
- en
tags:
- climate
pretty_name: Project Resilience Emissions from Land-Use Change Dataset
size_categories:
- 10M<n<100M
---
# Project Resilience Emissions from Land-Use Change Dataset

### Project Resilience
To contribute to this project see [Project Resilience](https://www.itu.int/en/ITU-T/extcoop/ai-data-commons/Pages/project-resilience.aspx) ([Github Repo](https://github.com/Project-Resilience/mvp))

Land Use Change data is provided by the [Land Use Harmonization Project](https://doi.org/10.5194/gmd-2019-360), providing land-use changes from 850-2100

Emissions from Land-Use Change (ELUC) data is provided by the [Global Carbon Budget 2023](https://doi.org/10.5194/essd-15-5301-2023) Bookkeeping of Land-Use Emissions (BLUE) model.

Data was used in [Discovering Effective Policies for Land-Use Planning](https://doi.org/10.48550/arXiv.2311.12304) at [NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning](https://www.climatechange.ai/events/neurips2023)

### Land Use Types

- Primary: Vegetation that is untouched by humans

    - primf: Primary forest
    - primn: Primary nonforest vegetation

    
- Secondary: Vegetation that has been touched by humans

    - secdf: Secondary forest
    - secdn: Secondary nonforest vegetation

- Urban

- Crop

    - c3ann: Annual C3 crops (e.g. wheat)
    - c4ann: Annual C4 crops (e.g. maize)
    - c3per: Perennial C3 crops (e.g. banana)
    - c4per: Perennial C4 crops (e.g. sugarcane)
    - c3nfx: Nitrogen fixing C3 crops (e.g. soybean)

- Pasture

    - pastr: Managed pasture land
    - range: Natural grassland/savannah/desert/etc.

### Dataset
The dataset is indexed by latitude, longitude, and time, with each row consisting of the land use of a given year, the land-use change from year to year+1, and the committed ELUC at the end of year in tons of carbon per hectare (tC/ha).

Committed ELUC means the sum of all simulated future emissions due to a land-use change.

In addition, the cell area of the cell in hectares and the name of the country the cell is located in are provided.

A crop and crop_diff column consisting of the sums of all the crop types and crop type diffs is provided as well as the BLUE model treats all crop types the same.

Raw data files are provided as: `merged_aggregated_dataset_1850_2022.zarr.zip` and `BLUE_LUH2-GCB2022_ELUC-committed_gridded_net_1850-2021.nc`, which are the land-use changes and the committed emissions respectively.

---
dataset_info:
  features:
  - name: ELUC_diff
    dtype: float32
  - name: c3ann
    dtype: float32
  - name: c3ann_diff
    dtype: float32
  - name: c3nfx
    dtype: float32
  - name: c3nfx_diff
    dtype: float32
  - name: c3per
    dtype: float32
  - name: c3per_diff
    dtype: float32
  - name: c4ann
    dtype: float32
  - name: c4ann_diff
    dtype: float32
  - name: c4per
    dtype: float32
  - name: c4per_diff
    dtype: float32
  - name: cell_area_diff
    dtype: float32
  - name: pastr
    dtype: float32
  - name: pastr_diff
    dtype: float32
  - name: primf
    dtype: float32
  - name: primf_diff
    dtype: float32
  - name: primn
    dtype: float32
  - name: primn_diff
    dtype: float32
  - name: range
    dtype: float32
  - name: range_diff
    dtype: float32
  - name: secdf
    dtype: float32
  - name: secdf_diff
    dtype: float32
  - name: secdn
    dtype: float32
  - name: secdn_diff
    dtype: float32
  - name: urban
    dtype: float32
  - name: urban_diff
    dtype: float32
  - name: ELUC
    dtype: float32
  - name: cell_area
    dtype: float32
  - name: country
    dtype: float64
  - name: crop
    dtype: float32
  - name: crop_diff
    dtype: float32
  - name: country_name
    dtype: string
  - name: time
    dtype: int64
  - name: lat
    dtype: float64
  - name: lon
    dtype: float64
  splits:
  - name: train
    num_bytes: 6837499488
    num_examples: 41630020
  download_size: 3195082319
  dataset_size: 6837499488
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---