Skip to content

Infortrac app for forestry analysis with Sentinel-2A satellite, developed in Rshiny, from Stefano Grigolato's Infortrac project. Paper: Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS. https://doi.org/10.3390/rs13081541

License

Notifications You must be signed in to change notification settings

mks-viii/Infortrac

Repository files navigation

It's a web-GIS plafrotm based on PostGIS and R for forestry analysis. The platform allows to select the damaged area by drawing polygons; several vegetation indices (VIs) are automatically calculated using remote sensing data (Sentinel-2A) and tested to identify the more suitable ones for quantifying forest damage. This webplatform has been development for italian forestry tecnichian, so the main interface and some name inside the code are in italian. The following paper describes the system and the assessment of tseverity of the damage: Piragnolo, M.; Pirotti, F.; Zanrosso, C.; Lingua, E.; Grigolato, S. Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS. Remote Sens. 2021, 13, 1541. https://doi.org/10.3390/rs13081541

Webb_appl

Schema_web_based_platform


The Sentinel-2A images are stored in Postgres/PostGIS database To connect to the database set these variables on dbcon.R file

dbname = "mydb" host = "localhost" user = "user" pass = "password"

set the table for the spatial query on indici.R

mytable="table"


About

Infortrac app for forestry analysis with Sentinel-2A satellite, developed in Rshiny, from Stefano Grigolato's Infortrac project. Paper: Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS. https://doi.org/10.3390/rs13081541

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages