Project Resilience Emissions from Land-Use Change Dataset

Project Resilience

To contribute to this project see Project Resilience (Github Repo)

Land Use Change data is provided by the Land Use Harmonization Project, providing land-use changes from 850-2100

Emissions from Land-Use Change (ELUC) data is provided by the Global Carbon Budget 2023 Bookkeeping of Land-Use Emissions (BLUE) model.

Data was used in Discovering Effective Policies for Land-Use Planning at NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning

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 ELUC at the end of year in tons of carbon per hectare (tC/ha)

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.

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-*