README.md

metadata

language:
  - en
size_categories:
  - 10M<n<100M
pretty_name: Project Resilience Emissions from Land-Use Change Dataset
tags:
  - climate
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
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: 6797746584
      num_examples: 41387985
  download_size: 3176214475
  dataset_size: 6797746584

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 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-*