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samapriya / awesome-gee-community-datasets

Community Datasets added by users and made available for use at large
https://gee-community-catalog.org/
Creative Commons Attribution 4.0 International
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Congo Basin Forest Roads #290

Closed samapriya closed 1 week ago

samapriya commented 1 week ago

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Dataset description

Description

Road development in the Congo Basin forest is continuously monitored from 2019 onwards in high spatial and temporal detail. A deep learning method is applied to 10 m scale Sentinel-1 and Sentinel-2 imagery for automated road detections on a monthly basis. This version presents 5 years of road development (46,311 km) from 2019-2023.

The data is composed of line features distributed in .shp and .geojson formats. The following attributes are stored for the line features:

NetworkID: A unique ID for each connected road network. SegLenM: The length of the road segment (in meters). NetLenM: The length of the connected road network (in meters). Month: The road segment opening month. Year: The road segment opening year. MonthNum: The road segment opening month, depicted as a continuing count since the start of monitoring (e.g. 13 = January 2020). This attribute can be used for smooth and continuous temporal analyses or visualizations.

Additional information

More information about the forest road mapping project can be found at: https://wur.eu/forest-roads Continuously updated road maps can be interactively viewed at: https://nrtwur.users.earthengine.app/view/forest-roads The dataset can be accessed in Google Earth Engine at: ee.FeatureCollection('projects/wurnrt-loggingroads/assets/distribution/forestroads_afr_2019-01_2023-12') The scientific paper (Slagter et al., 2024) describing the methods to produce this dataset can be found at: https://doi.org/10.1016/j.rse.2024.114380

Citation

Please cite the following when referring to this dataset:

Slagter B., Fesenmyer K., Hethcoat M., Belair E., Ellis P., Kleinschroth F., Peña-Claros M., Herold M., Reiche J. (2024). Monitoring road development in Congo Basin forests with multi-sensor satellite imagery and deep learning. Remote Sensing of Environment

Earth Engine Snippet if dataset already in GEE

var forest_roads = ee.FeatureCollection("projects/wurnrt-loggingroads/assets/distribution/forestroads_afr_2019-01_2023-12")

Enter license information

Creative Commons 4.0

Keywords

Congo Basin, forest roads, road development, Sentinel-1, Sentinel-2, deep learning, selective logging, deforestation, illegal logging, forest conservation

Code of Conduct

samapriya commented 1 week ago

This has been completed and will be included in next release