Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine-Reference-Cited by-同舟云学术

Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine

Published:2022-04 Issue: Volume:137 Page:108763
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Fu Bolin,Lan Feiwu,Xie Shuyu,Liu Man,He Hongchang,Li Ying,Liu Lilong,Huang Liangke,Fan Donglin,Gao Ertao,Chen Zhili

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference61 articles.

1. Interpretation of forest disturbance using a time series of Landsat imagery and canopy structure from airborne lidar;Ahmed;Canadian J. Remote Sens.,2014

2. Ariken, M., Zhang, F., Chan, N. weng, Kung, H., 2021. Coupling coordination analysis and spatio-temporal heterogeneity between urbanization and eco-environment along the Silk Road Economic Belt in China. Ecol. Indic. 121, 107014. https://doi.org/10.1016/j.ecolind.2020.107014.

3. Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data;Ariken;Ecol. Ind.,2020

4. Mapping spatial distribution and biomass of coastal wetland vegetation in Indonesian Papua by combining active and passive remotely sensed data;Aslan;Remote Sens. Environ.,2016

5. Granger causality and transfer entropy are equivalent for Gaussian variables;Barnett;Phys. Rev. Lett.,2009

Cited by 19 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. A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine;International Journal of Digital Earth;2024-09-09

2. Mapping multi-decadal wetland loss: Comparative analysis of linear and nonlinear spatiotemporal characterization;Remote Sensing of Environment;2024-03

3. An enhanced monitoring method for spatio-temporal dynamics of salt marsh vegetation using google earth engine;Estuarine, Coastal and Shelf Science;2024-03

4. LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China;Journal of Hydrology;2024-02

5. Tracking the Vegetation Change Trajectory over Large-Surface Coal Mines in the Jungar Coalfield Using Landsat Time-Series Data;Remote Sensing;2023-12-07