A satellite-field phenological bridging framework for characterizing community-level spring forest phenology using multi-scale satellite imagery-Reference-Cited by-同舟云学术

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A satellite-field phenological bridging framework for characterizing community-level spring forest phenology using multi-scale satellite imagery

Published:2024-05 Issue: Volume:211 Page:83-103
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Diao Chunyuan,Augspurger Carol K.,Zhao Yilun,Salk Carl F.

Funder

NASA

National Centre for Supercomputing Applications

National Science Foundation

Publisher

Elsevier BV

Reference88 articles.

1. Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS;Ahl;Remote Sensing of Environment,2006

2. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology;Atkinson;Remote Sensing of Environment,2012

3. Light Gains and Physiological Capacity of Understorey Woody Plants during Phenological Avoidance of Canopy Shade;Augspurger;Functional Ecology,2005

4. Concordance of long-term shifts with climate warming varies among phenological events and herbaceous species;Augspurger;Ecological Monographs,2020

5. Responses of spring phenology to climate change;Badeck;New Phytologist,2004

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