LandCoverNet: A global benchmark land cover classification training dataset

Optical remotely sensed time series data for land cover classification: A review

Cristina Gómez, Joanne C. White, and Michael A. Wulder · 2016

Earlier work this paper cites.

A new research paradigm for global land cover mapping

Peng Gong, Le Yu, Congcong Li, Jie Wang, Lu Liang, Xuecao Li, Luyan Ji, Yuqi Bai, Yuqi Cheng, and Zhiliang Zhu · 2016

Earlier work this paper cites.

A platform for crowdsourcing the creation of representative, accurate landcover maps

L. D. Estes, D. McRitchie, J. Choi, S. Debats, T. Evans, W. Guthe, D. Luo, G. Ragazzo, R. Zempleni, and K. K. Caylor · 2016

Earlier work this paper cites.

A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes

Stephanie R. Debats, Dee Luo, Lyndon D. Estes, Thomas J. Fuchs, and Kelly K. Caylor · 2016

Earlier work this paper cites.

Globeland30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries

Jamal Jokar Arsanjani, Amin Tayyebi, and Eric Vaz · 2016

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Classification for high resolution remote sensing imagery using a fully convolutional network

Gang Fu, Changjun Liu, Rong Zhou, Tao Sun, and Qijian Zhang · 2017

Cited alongside, same era.

No classification without representation: Assessing geodiversity issues in open data sets for the developing world

Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, and D. Sculley · 2017

Cited alongside, same era.

Generating a training dataset for land cover classification to advance global development

Original

Yoni Nachmany and Hamed Alemohammad · 2018

Cited alongside, same era.

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Charlotte Pelletier, Geoffrey Webb, and François Petitjean · 2019

Cited alongside, same era.

Large scale high-resolution land cover mapping with multi-resolution data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, and Nebojsa Jojic · 2019

Later among the works it cites.

A framework for evaluating land use and land cover classification using convolutional neural networks

Manuel Carranza-García, Jorge García-Gutiérrez, and José Riquelme · 2019

Later among the works it cites.

Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product

Damien Sulla-Menashe, Josh M. Gray, S. Parker Abercrombie, and Mark A. Friedl · 2019

Later among the works it cites.

Accounting for training data error in machine learning applied to earth observations

Arthur Elmes, Hamed Alemohammad, Ryan Avery, Kelly Caylor, J. Eastman, Lewis Fishgold, Mark Friedl, Meha Jain, Divyani Kohli, Juan Laso Bayas, and et al · 2020

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