Copernicus Global Land Service - Land Cover 100m

Introduction

Example: Alta Wind Energy Center, USA - Roughness Lines in windPRO from CGLS-LC100m 2015

Example: Roughness Lines in windPRO based on CGLS-LC100m 2015 demonstration dataset.

The CGLS-LC100 is a dynamic land cover map at 100m resolution and a part of the product portfolio for the Copernicus Global Land Service (CGLS). It has the target to deliver a yearly, global land cover map which primarily will be based based on PROBA-V – and later to be merged and replaced by Sentinel-2 satellite sources. Currently (2020), a dataset with near global coverage has been released with a 100m grid resolution. The map represents 2015 land cover and was derived from PROBA-V time series combined with local land cover training datasets as well as ancillary datasets.

Dataset Overview

• Spatial Coverage: Global
• Resolution: 100 m.
• Data Type: Land Cover / Land Use Mapping - with roughness length mapping by EMD (lookup table)
• Versions:
  • 2015: Current version in windpro
  • 2015 (demo): Preliminary dataset for africa (now discontinued)
  • 2006: Representing a time consistency 2006 +/- 1 year
• Geomeric Accuracy (Satellite Data):
  • 2018: <10m (based on Sentinel-2 imagery)
  • 2012: <25m
  • 2006: <25m
• Themaric Accuracy: >85%
• Updates: A yearly release is planned.

Validation

The product user manual [2] holds data from the product validation – and compares towards other available global land cover maps. Based on data from 3887 reference points, the CGLS-LS100 data come out with the best overall agreement to the ‘ground truth’ data. The overall agreement is as follows:

Table: Validation of CGLS-LS100m

Dataset Name	GlobCover 2009	LC-CCI 2010	MODIS 2010	Globeland 2010	CGLS-LC100
Agreement [%]	50.8	55.5	63.0	57.2	66.0

Legends

The legend is based on the UN LCCS (United Nations Land Cover Classification System).
For the CGLS-LS100 main land cover product, it holds 18 classes, see the sample map image for Tenerife above.

Table: CGLS-LC100 with Roughness Classification Data by EMD

ID	Land Cover Type	EMD Roughness Length	Definition UN LCSS
0	No data	z0=NA	NA
20	Shrubs	z0=0.070	These are woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. The shrub foliage can be either evergreen or deciduous.
30	Herbaceous vegetation	z0=0.500	Plants without persistent stem or shoots above ground and lacking definite firm structure. Tree and shrub cover is less than 10%.
40	Cropland	z0=0.100	Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.
50	Urban / built up	z0=0.400	Land covered by buildings and other man-made structures.
60	Bare/sparse vegetation	z0=0.020	Lands with exposed soil, sand, or rocks and never has more than 10% vegetated cover during any time of the year.
70	Snow and ice	z0=0.001	Lands under snow or ice cover throughout the year.
80	Water bodies - permanent	z0=0.0002	Lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies.
81	Water bodies - temporary	z0=0.030
90	Wetland - herbaceous	z0=0.100	Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water.
111	Forest, closed, evergreen needle leaf	z0=0.500	Tree canopy >70%, almost all needle leaf trees remain green all year. Canopy is never without green foliage.
112	Forest, closed, evergreen, broad leaf	z0=0.500	Tree canopy >70%, almost all broadleaf trees remain green year round. Canopy is never without green foliage.
113	Forest, closed, deciduous, needle leaf	z0=0.500	Tree canopy >70%, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods
114	Forest, closed, deciduous, broad leaf	z0=0.500	Tree canopy >70%, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods
121	Forest, open, evergreen, needle leaf	z0=0.400	Top layer- trees 15-70% and second layer- mixed of shrubs and grassland, almost all needle leaf trees remain green all year. Canopy is never without green foliage.
122	Forest, open, evergreen, broad leaf	z0=0.400	Top layer- trees 15-70% and second layer- mixed of shrubs and grassland, almost all broadleaf trees remain green year round. Canopy is never without green foliage.
123	Forest, open, deciduous, needle leaf	z0=0.400	Top layer- trees 15-70% and second layer- mixed of shrubs and grassland, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods.
124	Forest, open, deciduous, broad leaf	z0=0.400	Top layer- trees 15-70% and second layer- mixed of shrubs and grassland, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods.
200	Open Sea	z0=0.000	Oceans, seas. Can be either fresh or salt-water bodies.
255	Not classified	z0=NA	NA

Data License

Data from the Global Land Service is subjected to the free and open access policy from the European Union’s Copernicus Regulation (see here: http://www.copernicus.eu/library/detail/248). Please make sure to use a proper attribution when using these CGLS-LC100 data, such as:

Source: Contains modified Copernicus Service information (2020). 
This product was generated by the Global Land Service of Copernicus. The product is based on PROBA-V data provided by ESA and distributed by VITO. 
windPRO distribution and adaption by EMD International A/S.
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Acknowledgement
* The European Commission and the Copernicus team are acknowledged for the development and release of the free and open Copernicus data.
* Integration of this dataset into EMD services was co-supported through the InnoWind project (www.innowind.dk) which is co-funded by the Danish Innovation Fund

References
* Copernicus Global Land Service, available at: https://land.copernicus.eu
* Copernicus Global Land Operations “Vegetation and Energy” – Product User Manual – Moderate Dynamic Land Cover 100m, Version I1.00, 2017-09-28
* InnoWind project, http://www.innowind.dk