Batch TSF_process and TSF_seas2img from TIMESAT
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import sys | |
import numpy as np | |
import arcpy | |
import datetime | |
arcpy.env.overwriteOutput = True | |
# ---- You need to specify the folder where the tif files reside ---- | |
src_flder = r"Y:\3days\2017" # just change the year | |
out_flder = r"Y:\3days\2017_output" # make a result folder to put stuff |
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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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# -*- 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) |