Pinned Repositories
09-water-salinity
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
ARSET_CO2_Measurements_Climate
Repository associated with the NASA ARSET Training, "Applications of Carbon Dioxide Measurements for Climate-Related Studies"
ARSET_ML_Fundamentals
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
Awesome-GEE
A curated list of Google Earth Engine resources
cnii.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
floodmapping-sar
A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)
GEARS
Geospatial Ecology and Remote Sensing Lab, Introduction to RS of the Environment using GEE; Lab 01.
gee-airtemperature-regression
Air Temperature Regression in Four States of the USA
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
4m4rx's Repositories
4m4rx/water-quality-gee
Water quality scripts for Google Earth Engine
4m4rx/09-water-salinity
4m4rx/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
4m4rx/ARSET_CO2_Measurements_Climate
Repository associated with the NASA ARSET Training, "Applications of Carbon Dioxide Measurements for Climate-Related Studies"
4m4rx/ARSET_ML_Fundamentals
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
4m4rx/Awesome-GEE
A curated list of Google Earth Engine resources
4m4rx/cnii.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
4m4rx/floodmapping-sar
A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)
4m4rx/GEARS
Geospatial Ecology and Remote Sensing Lab, Introduction to RS of the Environment using GEE; Lab 01.
4m4rx/gee-airtemperature-regression
Air Temperature Regression in Four States of the USA
4m4rx/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
4m4rx/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.
4m4rx/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).
4m4rx/Landsat_SMW_LST
Land Surface Temperature from Landsat on Google Earth Engine
4m4rx/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
4m4rx/opensarlab-notebooks
Flood Mapping from Single Sentinel-1 SAR
4m4rx/In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations
Salinity and turbidity detection of water ponds using Satellite imagery
4m4rx/LaSTMoV
Land Surface Temperature MODIS Visualization (LaSTMoV)
4m4rx/LULC-CA-Markov
4m4rx/modis-tools
Tools for working with the MODIS API and MODIS data.
4m4rx/Monthly-QMap-Bias-
This for Calculating Rainfall Bias Correction with Quantile Mapping of Satelite data with ground data
4m4rx/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.
4m4rx/python-tutorials
Spatial Analysis and Remote Sensing with Python Tutorials
4m4rx/RScripts
Scripts collection used to collect, analyze and report forest datasets
4m4rx/Salinity
GEE salinity script for a region
4m4rx/salinity_prediction
4m4rx/UHEAT
Tool to determine priority areas of concern due to the urban heat island effect for the City of Tempe, AZ.
4m4rx/urban-land-cover-mapping
Urban Monitoring LST with MODIS Data
4m4rx/Water-Salinity
A repository storing code and outputs supplementing investigation for the paper "Investigating Freshwater Salinity and Economic Development"
4m4rx/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).