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4m4rx's Projects

floodmapping-sar icon floodmapping-sar

A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)

gears icon gears

Geospatial Ecology and Remote Sensing Lab, Introduction to RS of the Environment using GEE; Lab 01.

google-earth-engine icon google-earth-engine

A Collection of Python and Javascript Script to perform Geographical analysis using Google Earth Engine Python API and Javascript Code Editor_Rainfall-Runoff

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

krigr icon krigr

An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).

lastmov icon lastmov

Land Surface Temperature MODIS Visualization (LaSTMoV)

lst-downscaling-to-10m-gee icon lst-downscaling-to-10m-gee

This code repository is an attachment for the article in Remote Sensing: Onačillová, K.; Gallay, M.; Paluba, D.; Péliová, A.; Tokarčík, O.; Laubertová, D. Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. https://doi.org/10.3390/rs14164076

patch-generating_land_use_simulation_model icon patch-generating_land_use_simulation_model

The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.

rscripts icon rscripts

Scripts collection used to collect, analyze and report forest datasets

uheat icon uheat

Tool to determine priority areas of concern due to the urban heat island effect for the City of Tempe, AZ.

water-salinity icon water-salinity

A repository storing code and outputs supplementing investigation for the paper "Investigating Freshwater Salinity and Economic Development"

wet2.0 icon wet2.0

The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).

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