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# -*- coding: utf-8 -*-
"""
NAME
    modis_quarter.py
    MXD13Q1 quarter mean (JFM, AMJ, JAS, OND) from 8-day data
DESCRIPTION
    Input data for this script will use MXD13Q1 8-days data generate from GEE or downloaded from NASA
    This script can do MEAN calculation to derive quarter data (JFM, AMJ, JAS, OND)
REQUIREMENT
    ArcGIS must installed before using this script, as it required arcpy module.

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# -*- coding: utf-8 -*-
"""
NAME
    08_mxd13q1_stats_quarter.py
    MXD13Q1 quarter statistics data, long-term average, max, min and stdev
DESCRIPTION
    Input data for this script will use MXD13Q1 quarter data generate from modis_quarter.py
    This script can do annual statistics calculation (AVERAGE, MAXIMUM, MINIMUM and STD)
REQUIREMENT
    ArcGIS must installed before using this script, as it required arcpy module.

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# -*- coding: utf-8 -*-
"""
NAME
    modis_viproducts_quarter.py
    Generate derivative product from Vegetation Indices
DESCRIPTION
    Input data for this script will use MXD13Q1 8-days data generate from GEE or downloaded 
    from NASA. This script can do calculation for ratio, difference, standardize anomaly 
    and vegetation condition index.
    The calculation required timeseries VI and the long-term statistics (min, mean, max, std)

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This script required GeoTIFF file from TIMESAT seas2img binary output conversion process for 2-year scenario. It will remap the raster value and combined between two simulation exercise.

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Batch TSF_process and TSF_seas2img from TIMESAT

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