Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model-Reference-Cited by-同舟云学术

Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model

Published:2024-04 Issue: Volume:304 Page:114027
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Song Guangqin,Wang Jing,Zhao Yingyi,Yang Dedi,Lee Calvin K.F.,Guo Zhengfei,Detto Matteo,Alberton Bruna,Morellato Patricia,Nelson Bruce,Wu Jin

Funder

Innovation and Technology Fund

National Natural Science Foundation of China

University Grants Committee

The University of Hong Kong

Publisher

Elsevier BV

Reference121 articles.

1. Current issues in tropical phenology: a synthesis;Abernethy;Biotropica,2018

2. Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest;Albert;New Phytol.,2018

3. Cryptic phenology in plants: case studies, implications, and recommendations;Albert;Glob. Chang. Biol.,2019

4. Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation;Alberton;Perspect. Ecol. Conserv.,2017

5. Leafing patterns and drivers across seasonally dry tropical communities;Alberton;Remote Sens.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Subfield-level crop yield mapping without ground truth data: A scale transfer framework;Remote Sensing of Environment;2024-12

2. Detailed detection and extraction of estuarine tidal channels with multispectral and full‐polarised SAR remote sensing;Earth Surface Processes and Landforms;2024-08-08