Post-fire forest recovery in the Amazon region (2001–2023): A patch-level analysis of spatiotemporal patterns and compound drivers
Authors:
Open Access
- 10 July 2026
- journal article
- Published by Taylor & Francis in Big Earth Data
- p. 1-29
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (42425103)
- Provincial Special Funding for the Construction of Chenzhou National Sustainable Development Agenda Innovation Demonstration Zone (2023sfq69)
- CAS-TWAS Centre of Excellence on Space Technology for Disaster Mitigation
This publication has 68 references indexed in Scilit:
- Elucidating factors driving post-fire vegetation recovery in the Mediterranean forests using Landsat spectral metricsAgricultural and Forest Meteorology, 2023
- Forest resilience to fire in eastern Amazon depends on the intensity of pre-fire disturbanceForest Ecology and Management, 2020
- Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time seriesAnnals of Forest Science, 2020
- Contributions of fire refugia to resilient ponderosa pine and dry mixed‐conifer forest landscapesEcosphere, 2019
- Monitoring of post-fire forest regeneration under different restoration treatments based on ALOS/PALSAR dataNew Forests, 2017
- Changing disturbance regimes, ecological memory, and forest resilienceFrontiers in Ecology and the Environment, 2016
- Current research issues related to post-wildfire runoff and erosion processesEarth-Science Reviews, 2013
- Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variabilityISPRS Journal of Photogrammetry and Remote Sensing, 2012
- Evaluating the utility and seasonality of NDVI values for assessing post-disturbance recovery in a subalpine forestEnvironmental Monitoring and Assessment, 2011
- Catalogue of Artificial Intelligence Tools1984