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FLOODPYapp_template.cfg
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# CONFIGURATION FILE OF FLOODPY
#|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|
# A. Project Definition
#-------------------------
#A1. The name of your project withough special characters.
Projectname = Palamas
#A2. The location that everything is going to be saved. Make sure
# you have enough free space disk on the specific location.
projectfolder = /home/kleanthis/Palamas
#A3. The location of floodpy code
src_dir = /home/kleanthis/Projects/FLOODPY/floodpy/
#A4. SNAP ORBIT DIRECTORY
snap_dir = /home/kleanthis/.snap/auxdata/Orbits/Sentinel-1
#A5. SNAP GPT full path
GPTBIN_PATH = /home/kleanthis/snap9/bin/gpt
# B. Flood event temporal information
#-------------------------------------------------------------
# Your have to provide the datetime of your flood event. Make sure that
# a flood event took place at your provided datetime.
# Based on your knowledge you can change [before_flood_days] in order
# to create a biggest
# Sentinel-1 image that is going to be used to extract flood information
# will be between Flood_datetime and Flood_datetime+after_flood_days
# the closest Sentinel-1 to the Flood_datetime is picked
#-------------------------------------------------------------
# B1. The datetime of flood event (Format is YYYYMMDDTHHMMSS)
Flood_datetime = 20200921T030000
# B2. Days before flood event for baseline stack construction
before_flood_days = 20
# B3. Days after flood event
after_flood_days = 3
# C. Flood event spatial information
#-------------------------------------------------------------
# You can provide AOI VECTOR FILE or AOI BBOX.
# Please ensure that your AOI BBOX has dimensions smaller than 100km x 100km
# If you provide AOI VECTOR, AOI BBOX parameters will be ommited
#-In case you provide AOI BBOX coordinates, set AOI_File = None
#--------------------------------------------------------
# C1. AOI VECTOR FILE (if given AOI BBOX parameters can be ommited)
AOI_File = None
# C2. AOI BBOX (WGS84)
LONMIN=22.02
LATMIN=39.46
LONMAX=22.17
LATMAX=39.518
# D. Precipitation information
#-------------------------------------------------------------
# Based on your knowledge, provide information related to the
# accumulated precipitation that is required in order a flooding to occur.
# These particular values will be used to classify Sentinel-1 images
# which images correspond to flood and non-flood conditions.
#--------------------------------------------------------
# D1. number of consequent days that precipitation will be accumulated.
# before each Sentinel-1 acquisition datetime
days_back = 12
# D2. The threshold of acculated precipitation [mm]
accumulated_precipitation_threshold = 120
########################################
# E. Data access and processing #
########################################
#E1. The number of Sentinel-1 relative orbit. The default
# value is Auto. Auto means that the relative orbit that has
# the Sentinel-1 image closer to the Flood_datetime is selected.
# S1_type can be GRD or SLC.
S1_type = GRD
relOrbit = Auto
#E3. The minimum mapping unit area in square meters
minimum_mapping_unit_area_m2=4000
#E4. Computing resources to employ
CPU=8
RAM=20G
#E5. Credentials for Sentinel-1/2 downloading
scihub_username = flompy
scihub_password = rslab2022
aria_username = floodpy
aria_password = RSlab2022