R code and supplementary data for : "A framework for mapping conservation agricultural fields using time-series optical and radar imagery"

Source code and cover crop maps for the paper "A framework for mapping conservation cropland using optical and radar time series imagery." (Zhou et al., 2025) https://doi.org/10.1016/j.rse.2025.114858 The entire workflow consists of these steps: 1. Obtain satellite data from Google Earth Engine platform. script path: (https://code.earthengine.google.com/?scriptPath=users%2Fyuez9466%2FCApractice%3ANDVI). You need to obtain the NDVI, NBR2, Sentinel-1 Radar dataset and Precipitation data for your research area and seltected time interval. Download .csv data from Google Cloud, then convert the format of the data for following calculations.(see 1_import_transfer_data.R) 2. Obtain the annual crop types in your study area, either through agricultural census data or remote sensing predictions (not mentioned in this paper), calculate organic carbon input based on the crop types. Extracting seasons based on time-series NDVI values using phenofit package. (see 2_NDVI_Smooth_Divide_seasons.R) 3. Calculating the length of the cover crop growing season and periods of bare soil, also get the nessasary covariates for tillage model meanwhile. (see 3_CC_BS_length_add_Tillage.R) 4. Build a tillage model. (see 4_Build_Tillage_model) Build your own conservation agriculture fields model.