Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications-Reference-Cited by-同舟云学术

Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications

Published:2022-09-26 Issue:24 Volume:28 Page:7186-7204
ISSN:1354-1013
Container-title:Global Change Biology
language:en
Short-container-title:Global Change Biology

Author:

Ma Xuanlong¹^ORCID,Zhu Xiaolin²^ORCID,Xie Qiaoyun³^ORCID,Jin Jiaxin⁴^ORCID,Zhou Yuke⁵^ORCID,Luo Yunpeng⁶⁷^ORCID,Liu Yuxia³⁸^ORCID,Tian Jiaqi²⁹^ORCID,Zhao Yuhe¹^ORCID

Affiliation:

1. College of Earth and Environmental Sciences, Lanzhou University Lanzhou China

2. Department of Land Surveying and Geo‐Informatics The Hong Kong Polytechnic University Hong Kong China

3. School of Life Sciences, Faculty of Science University of Technology Sydney Sydney New South Wales Australia

4. College of Hydrology and Water Resources, Hohai University Nanjing China

5. Key Laboratory of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences Beijing China

6. Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland

7. Department of Environmental System Science ETH Zurich Zurich Switzerland

8. Geospatial Sciences Center of Excellence (GSCE) South Dakota State University Brookings South Dakota USA

9. Department of Geography National University of Singapore Singapore Singapore

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16436

Reference199 articles.

1. Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production

2. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

3. Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves

4. Temporal and among-site variability of inherent water use efficiency at the ecosystem level

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