Derive Vegetation Characteristics from Drone imagery
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Updated
Sep 14, 2017 - Python
Derive Vegetation Characteristics from Drone imagery
Integration between XL Release and ServiceNow
Connector for grafana simple-json data source and ServiceNow incidents retieved over ServiceNow API
Converts SnowMicroPen pnt files into csv/png products, with methods for estimating snow microstructure properties.
Standing snow depth estimation using PolInSAR
Produces quicklooks SCL bands in Sentinel-2 L2A SAFE files. Pass the directory where SAFE files are as sys.argv[1]. Writes results to same directory. Produces grayscale image for SCL and false color image for snow(red)-nosnow(green). Uses the best resolution available inside the file.
Examples of surface precipitation phase discrimination using open data meteorological observations.
Wrangling / analysis / plotting of MagnaProbe snow depth data.
Process ASO imagery and generate DSMs
LiDAR snowfall simulation
Collection of utilities to process snow remote sensing data
Predicting Snow Conditions in Passo Tonale (Trento, Italy)
Scripts for manipulating WRF output and use it as forcing for Alpine3D
Stochastic Modelling of Snow Depth in Mountains
clustering vertical profiles of dual-pol weather radar data
A portal to share and display meteofrance opendata
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