LandCoverNet: A global benchmark land cover classification training dataset

12/05/2020
by   Hamed Alemohammad, et al.
0

Regularly updated and accurate land cover maps are essential for monitoring 14 of the 17 Sustainable Development Goals. Multispectral satellite imagery provide high-quality and valuable information at global scale that can be used to develop land cover classification models. However, such a global application requires a geographically diverse training dataset. Here, we present LandCoverNet, a global training dataset for land cover classification based on Sentinel-2 observations at 10m spatial resolution. Land cover class labels are defined based on annual time-series of Sentinel-2, and verified by consensus among three human annotators.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 7

11/14/2018

Generating a Training Dataset for Land Cover Classification to Advance Global Development

Semantic segmentation of land cover classes is fundamental for agricultu...
03/03/2021

Land Cover Mapping in Limited Labels Scenario: A Survey

Land cover mapping is essential for monitoring global environmental chan...
04/22/2021

Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)

Widely used European land cover maps such as CORINE are produced at medi...
10/24/2019

Reconstruction of Past Human land-use from Pollen Data and Anthropogenic land-cover Changes Scenarios

Accurate maps of past land cover and human land-use are necessary when s...
05/12/2020

Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks

This paper describes a methodology to produce a 7-classes land cover map...
10/05/2021

RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning

Under the sponsorship of the European Union Horizon 2020 program, RapidA...
07/01/2021

3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets

The current practice in land cover/land use change analysis relies heavi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.