Data and code for "Functional composition and structural diversity enhance mangrove forest resilience in the Sundarbans"

SRF_ETH_CanopyHeight_StableLand_2020_250m.tif– Canopy height at 250m spatial resolution derived from ETH’s GEDI LiDAR based global canopy height. SRF_kNDVI_2000_2024.tif– 25 years kNDVI time series data derived from 16 days NDVI of MODIS Data_Mangrove_resilience_Sundarbans.xlsx – Plot‑level biodiversity, environmental variables, sediment properties, and remote‑sensing–derived resilience indicators and disturbance metrics used for SEM and statistical analyses. SEM_analysis.R – R script for structural equation modelling, including data preparation, model specification, diagnostics, and extraction of standardized path coefficients. Sundarbans boundary– KMZ file of the entire Sundarbans boundary, digitized in Google Earth Pro. Python_code_resilience_biodiversity_Sundarbans.ipynb – Jupyter Notebook containing the full Python workflow for generating Figures 1–5: MODIS kNDVI processing, deseasoning/detrending, perturbation detection, resilience indicator calculation, and spatial mapping.