This program is designed for parallel processing Modis Time-Series Reflectance Data set in High-throughput Environment. The program will automatically wrap the raw MODIS dataset into abundant of subtasks and run them in the High-throughput computing system. The processing module including Format Conversion, Image Mosaic, Re-projection, and Clipping by Mask. The main script need the necessary dependencies including GDAL, numpy and matplotlib. The program can be used both in single PC and HTCondor clusters.

We use this program to produce the dataset MODIS remote sensing dataset for Qinghai Lake basin.

Dataset: http://www.csdata.org/p/160/ .

Paper: A High Throughput Pipeline for Processing Time Series MODIS Data

Link: http://escj.cnic.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=13140

Dependencies ：

• python 2.7
• gdal-bin >1.8
• python-gdal > 1.8
• python-numpy
• HTCondor

Run：

• main.py Main program 主函数
• methods-on-modis.py define functions 定义需要的处理模块
• viewTif.py view tif

Dirs(The Program will automatically detect and build the folder)：

• /out output folder 输出文件夹
• /data put raw data in this folder 储存原始数据
• /shp put x.shp file in this folder 储存程序需要的矢量数据
• /temp store temporary files 储存程序产生的临时文件