EFG F3.5 Canals and drains – current maps

F3. Artificial wetlands biome

Published

June 7, 2024

This page provides information about the valid indicative distribution map for the ecosystem functional group F3.5 Canals, ditches and drains. For older or alternative maps, see here.

Methods

Here is the methods summary for Map code and version: F3.5.web.orig v1.0.

Freshwater ecoregions (Abell et al. 2008) were identified as containing major or minor occurrences of these functional groups if: i) their descriptions mentioned features consistent with those identifed in the profile of the Ecosystem Functional Group; and ii) if their location was consistent with the ecological drivers described in the profile. The selections were check by expert reviewers. Occurrences were mapped at 30 arc seconds spatial resolution.

Datasets

dataset url

Processing

Processing steps used in this map are: NA.

Map evaluation

This map is considered to be a Fine quality map series based on the following characteristics:

Concept alignment is Indirect,general,specific.

Ground observations are NA.

The accuracy evaluation Quantitative accuracy assessment,documented,quantitative.

How to use the data

Available files

You can download geospatial data for this map from the following sources:

F3.5.WM.nwx (v2.0): Mapbox tileset

Note that you need to login to some services like mapbox or earthengine, and in some cases you also need to request access to the files.

License information

Indicative maps have been released with a Creative Commons Attribution 4.0 International license.

Datasets used to create this map have similar licenses, but please check the license information below.

dataset license_info

References

References used in this version of the maps.

  • Deepak Nagaraj, Eleanor Proust, Alberto Todeschini, Maria Cristina Rulli, Paolo D’Odorico (2021) A new dataset of global irrigation areas from 2001 to 2015 Advances in Water Resources 152: 103910 DOI:j.advwatres.2021.103910
  • Karra, Kontgis, et al. (2021) Global land use/land cover with Sentinel-2 and deep learning IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium IEEE