This was the capstone project of my Computational Science class (Spring 2016). The goal of the project was to work with satelite data from a portion of the earth - Ross Sea. My group used some Mathematical methods in Computational Science to extract information from the satelite data, understand and observe sea ice behavior on the Ross Sea.
We got an A for the project :)
#!bash
python setup.py install
#!bash
python app.py --show -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic
Since we have 2 instruments we use -i vir
for VIRS and -i mod
for MODIS.
#!bash
python app.py --hist -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_2025_RS_T_MOD.mat --sensor mw_sic
#!bash
python app.py -i vir --imgday --sensor mw_sic
#!bash
python app.py -shist -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic
#!bash
python app.py -histplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic
#!bash
python app.py -multiplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic
#!bash
python app.py -sideplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic
Lense can be specified, however it defaults to using the lense argument: --sensor 'mw_sic'
#!bash
python app.py -i vir --sic
#!bash
python app.py -d -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic
#!bash
python app.py -s -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic
#!bash
python app.py -srf -img G_2015_336_0041_RS_N_VIR.mat
#!bash
python app.py -overlap -img G_2015_336_0041_RS_N_VIR.mat
#!bash
python app.py -c -img G_2015_336_1041_RS_N_VIR.mat
#!bash
python app.py -rgb -img G_2015_336_0041_RS_N_VIR.mat --sensor ibands
#!bash
python app.py -water -img G_2015_336_0041_RS_N_VIR.mat