DOI: 10.5281/zenodo.14850786
title: BETA-FOR_SP3_ForestStructure_Sentinel2_2015/2023

description: Sentinel-2 (multispectral) satellite time-series (2015-2023) at patch-level as proxy of canopy structure. The dataset is available for all 234 patches and stored in a single .xlsx file where each sheet name (BETA-FOR patch label) stores information for the respective patch as various metrics (combination of spectral index and spatial statistic to aggregate the pixels per patch, i.e. coefficient of variation). Based on the multispectral bands, spatial statistics of five different spectral indices (column name prefix: NMDI, MBWI, MSI, AVI, MLSWI26) were calculated (please find the full name and formula under https://github.com/awesome-spectral-indices/awesome-spectral-indices/blob/main/output/spectral-indices-table.csv and the publication of the spectral indices library under https://doi.org/10.1038/s41597-023-02096-0). The original time-series (column name ending *_original) was decomposed based on the BEAST model (https://doi.org/10.1016/j.rse.2019.04.034) into the seasonal (column name ending *_seasonality) and trend signal (column name ending *_trend). The aggregation of pixels at patch-level was calculated as coefficient of variation (column name *_cv_*). The seasonal and trend signal were modelled as weekly intervals from the original irregular time-series. Please find the data in the attachment since it is structured as nested .xlsx with multiple (234) sheets.
description: Variables Description################

*date: the date when the sample was taken

*NMDI_cv_original: original signal of Normalized Multi-band Drought Index (NMDI) 

*NMDI_cv_seasonality: seasonal signal of Normalized Multi-band Drought Index (NMDI) decomposed from the original time series as weekly intervals

*NMDI_cv_trend: trend signal of Normalized Multi-band Drought Index (NMDI) decomposed from the original time series as weekly intervals

*MBWI_cv_original: original signal of Multi-Band Water Index (MBWI) 

*MWBI_cv_seasonality: seasonal signal of Multi-Band Water Index (MBWI) decomposed from the original time series as weekly intervals

*MBWI_cv_trend: trend signal of Multi-Band Water Index (MBWI) decomposed from the original time series as weekly intervals

*MSI_cv_original: original signal of Moisture Stress Index (MSI) 

*MSI_cv_seasonality: seasonal signal of Moisture Stress Index (MSI) decomposed from the original time series as weekly intervals

*MSI_cv_trend: trend signal of Moisture Stress Index (MSI) decomposed from the original time series as weekly intervals

*AVI_cv_original: original signal of Advanced Vegetation Index (AVI) 

*AVI_cv_seasonality: seasonal signal of Advanced Vegetation Index (AVI) decomposed from the original time series as weekly intervals

*AVI_cv_trend: trend signal of Advanced Vegetation Index (AVI) decomposed from the original time series as weekly intervals

*MLSWI26_cv_original: original signal of Modified Land Surface Water Index (MODIS Bands 2 and 6)(MLSWI26) 

*MLSWI26_cv_seasonality: seasonal signal of Modified Land Surface Water Index (MODIS Bands 2 and 6)(MLSWI26) decomposed from the original time series as weekly intervals

*MLSWI26_cv_trend: trend signal of Modified Land Surface Water Index (MODIS Bands 2 and 6)(MLSWI26) decomposed from the original time series as weekly intervals