Global Land Cover Estimation (GLanCE) dataset - V1 (2000 - 2019)

[parevalo]

Contact Details

parevalo@bu.edu

Dataset description

The Global Land Cover Estimation (GLanCE) dataset provides high-quality, long-term records of annual land cover and land cover change from 2001 to 2019, using Landsat imagery at 30-meter spatial resolution. The dataset covers all global land areas except Antarctica, and includes 10 Science Data Sets (SDSs) that track land cover, land cover changes and greenness dynamics. The Continuous Change Detection and Classification (CCDC) algorithm is used to identify land cover and changes based on all available, clear Landsat observations.

The GLanCE SDSs are organized into three categories:

1. Land Cover and Change: Four SDSs provide information related to: (1) land cover class, (2) estimated quality associated with land cover class, (3) previous land cover for those places where change occurred, and (4) the approximate day of year of change (DOY).
2. Greenness Dynamics: Four SDSs characterize annual greenness using the Enhanced Vegetation Index (EVI2), including (1) median, (2) amplitude, (3) rate of change (if present), and (4) magnitude of change in EVI2 median for those pixels where change occurred.
3. Leaf Type and Phenology: Two SDSs identify leaf type and phenology for tree-covered pixels.

Version 1 data includes seven layers: Land Cover Class, Previous Class, Change Date, EVI2 median, EVI2 amplitude, EVI2 rate, and Change EVI2 Median. The corresponding band names are: "LC", "prevClass", "changeDate", "EVI2median", "EVI2amplitude", "EVI2rate", and "changeMag". Note that these band names differ slightly from those listed in the user guide on the LP DAAC website.

The user manual with more detailed information about each data layer can be found here.

Dataset viewer: https://glance.earthengine.app/view/datasetviewer

Notes

• The current dataset includes data for the Americas, Europe and Oceania. Africa and Asia will be released early in 2025.
• Land cover quality assurance layer will be provided in the next map release (e.g. v1.1)
• Tree leaf type and phenology datasets will be provided in future releases.
• The Google Earth Engine dataset uses a different tiling system designed for simplicity and efficiency in the platform, and is stored using the World Geodetic Coordinate System 1984 (EPSG:4326), matching the underlying CCDC dataset used to generate them. In contrast, the dataset stored in the LP-DAAC has been exported from GEE using using a custom tiling system based on continental grids (150 x 150 km tile size) and projections (continental Lambert Azimuthal Equal Area projections).

Citation

Preliminary paper:

Friedl, M.A., Woodcock, C.E., Olofsson, P., Zhu, Z., Loveland, T., Stanimirova, R., Arévalo, P., Bullock, E., Hu, K.-T., Zhang, Y., Turlej, K., Tarrio, K., McAvoy, K., Gorelick, N., Wang, J.A., Barber, C.P., Souza, C., 2022. Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat. Frontiers in Remote Sensing 3. https://doi.org/10.3389/frsen.2022.894571

Note: the citation paper will be updated once we finalize the release of V1 data.

LP-DAAC Dataset:

Arévalo, P., R. Stanimirova, E. Bullock, Y. Zhang, K. Tarrio, K. Turlej, K. Hu, K. McAvoy, V. Pasquarella, C. Woodcock, P. Olofsson, Z. Zhu, N. Gorelick, T. Loveland, C. Barber, M. Friedl. Global Land Cover Mapping and Estimation Yearly 30 m V001. 2022, distributed by NASA EOSDIS Land Processes Distributed Active Archive Center, https://doi.org/10.5067/MEaSUREs/GLanCE/GLanCE30.001. Accessed YYYY-MM-DD.

LP-DAAC DOI:

https://doi.org/10.5067/MEaSUREs/GLanCE/GLanCE30.001

Earth Engine Snippet if dataset already in GEE

var GLANCE = ee.ImageCollection("projects/GLANCE/DATASETS/V001")

Sample Code 1: Load and visualize datasets Sample Code 2: Load year of change and EVI2 change data

Enter license information

This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.

Keywords

Keywords: land cover, land cover change, greenness, EVI2, CCDC, global, Landsat, NASA MEaSUREs

Code of Conduct

• [X] I agree to follow this project's Code of Conduct

[samapriya]

So glad to see this request come through :)

[samapriya]

This has been completed and will be made available this week. Thank you for contributing :)

[parevalo]

Thank you Sam!