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Editorial

Recent progress in land remote sensing: algorithms and products

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Pages 1-4 | Published online: 13 Dec 2013
 

Acknowledgments

We are very grateful for our sponsors: State Key Laboratory of Remote Sensing Science, Beijing Normal University, Institute of Mountain Hazards and Environment of Chinese Academy of Sciences, and University of Maryland for their sponsorship for the first International Symposium on Land Remote Sensing: Algorithm and Products. We are indebted to many colleagues for their assistance in organizing this meeting, especially Ms. Hongmin Zhou, Ms. Liya Ma, Ms. Yuzheng Wang, and Ms. Bo Kong. We would like to thank Prof. Changlin Wang, Executive Editor of the International Journal of Digital Earth (IJDE), for his encouragement and advice, and Ms. Zhen Liu of the IJDE Editorial Office for her assistance. All authors and editors would also like to thank anonymous reviewers for their constructive comments on the papers.

Funding

This work was partially supported by the ‘Generation and Application of Global Products of Essential Land Variables’ project funded and managed by the National Remote Sensing Center of China, Ministry of Science and Technology of China [grant number 2009AA122100].

Shunlin Liang

State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

Department of Geographical Science, University of Maryland, College Park 20742, MD, USA

Ainong Li

Institute of Mountain Hazards and Environment, Chinese academy of Sciences, Chengdu 610041, China

Jianchang Shi

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China

Additional information

Funding

Funding: This work was partially supported by the ‘Generation and Application of Global Products of Essential Land Variables’ project funded and managed by the National Remote Sensing Center of China, Ministry of Science and Technology of China [grant number 2009AA122100].

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