| Title: | Geospatial Data: Carbon Opportunity Cost of Animal-Sourced Food Production on Land |
| Authors: | Matthew N. Hayek Helen Harwatt William J. Ripple Nathaniel D. Mueller |
| Keywords: | Vegetation classification;Vegetation and climate;Vegetation boundaries;Agriculture |
| Issue Date: | 22-Jul-2020 |
| Description: | This item contains two multi-band raster data layers, which represent estimates of carbon opportunity cost of animal-sourced food production on land. The data is captured at a resolution of 5 arcminutes over the global domain and is derived from data collected approximately over the past two decades (2000-2020). The pixel values measure estimates in tonnes of potential vegetation per hectare that are suppressed by pasturelands and present-day feed crops. In the carbon opportunity cost layer (nyu_2451_60073.zip) the bands represent three estimates of carbon in potential vegetation: median, low (5th percentile), and high (95th percentile). In the animal hectacres layer (nyu_2451_60074.zip), the pixel band ranges represent two estimated values: areas sourced from the lowest carbon areas and areas sourced from the highest carbon areas. This data is released with an Attribution 4.0 International (CC BY 4.0) license. Users may cite this collection with https://doi.org/10.17609/q5pe-7r68/. Refer to the URI locations for geospatial data preview and download. |
| URI: | https://geo.nyu.edu/catalog/nyu-2451-60073 https://geo.nyu.edu/catalog/nyu-2451-60074 |
| DOI: | https://doi.org/10.17609/q5pe-7r68 |
| Rights: | Attribution 4.0 International (CC BY 4.0) |
| Appears in Collections: | Spatial Data Repository |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| nyu_2451_60073.zip | Carbon Opportunity Cost raster data | 15.89 MB | GeoTIFF | View/Open |
| nyu_2451_60073_doc.zip | Carbon Opportunity README | 19.94 kB | View/Open | |
| nyu_2451_60074.zip | Animal Hectacres raster data | 14.5 MB | GeoTIFF | View/Open |
| nyu_2451_60074_doc.zip | Animal Hectacres README | 16.64 kB | View/Open |
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