Pinned Repositories
Geospatial_Projects_Python
This collection of projects showcases the power and versatility of Python in handling, analyzing, and visualizing geospatial data. Here, you will find a range of projects that explore different aspects of geospatial analysis, from basic operations to more complex spatial modeling.
Landsat_Supervised-Machine-Learning-Classification
This project uses Google Earth Engine using Javascript to perform supervised land cover classification in Can Tho, Vietnam using machine learning algrorithms
Air_Quality_Prediction_using_LSTM_and_Facebook_Prophet_tool
This repository uses a Long Short-Term Memory (LSTM) neural network to predict air quality, specifically PM2.5 levels
Grid_Coverage_Check_for_csv_Coordinate_Points
This Python script provides a comprehensive solution for manipulating geographic data specific to grid and region shapefiles.
Land-Surface-Temperatrue-Landsat-GEE
Land Surface Temperature (LST) data derived from Landsat imagery, which can be analyzed using Google Earth Engine (GEE)
Land_Surface_Temperature_Future_Prediction
This repository hosts a Python application designed to predict Land Surface Temperature (LST) using data from Google Earth Engine and machine learning techniques.
LocNguyenTKP
SAR_Flood_Mapping_GEE
Are you looking to accurately assess the impact of floods on communities and land using satellite imagery? Our new SAR Flood Mapping Tool leverages the power of Google Earth Engine to deliver precise flood extent maps and damage assessments in just a few clicks!
my-dev-learning
PowerBI-Projects
Create a PowerBI report using the powerbi desktop.
LocNguyenTKP's Repositories
LocNguyenTKP/Geospatial_Projects_Python
This collection of projects showcases the power and versatility of Python in handling, analyzing, and visualizing geospatial data. Here, you will find a range of projects that explore different aspects of geospatial analysis, from basic operations to more complex spatial modeling.
LocNguyenTKP/SAR_Flood_Mapping_GEE
Are you looking to accurately assess the impact of floods on communities and land using satellite imagery? Our new SAR Flood Mapping Tool leverages the power of Google Earth Engine to deliver precise flood extent maps and damage assessments in just a few clicks!
LocNguyenTKP/LocNguyenTKP
LocNguyenTKP/PowerBI-Projects
Create a PowerBI report using the powerbi desktop.
LocNguyenTKP/Air_Quality_Prediction_using_LSTM_and_Facebook_Prophet_tool
This repository uses a Long Short-Term Memory (LSTM) neural network to predict air quality, specifically PM2.5 levels
LocNguyenTKP/Land_Surface_Temperature_Future_Prediction
This repository hosts a Python application designed to predict Land Surface Temperature (LST) using data from Google Earth Engine and machine learning techniques.
LocNguyenTKP/Grid_Coverage_Check_for_csv_Coordinate_Points
This Python script provides a comprehensive solution for manipulating geographic data specific to grid and region shapefiles.
LocNguyenTKP/Land-Surface-Temperatrue-Landsat-GEE
Land Surface Temperature (LST) data derived from Landsat imagery, which can be analyzed using Google Earth Engine (GEE)
LocNguyenTKP/Landsat_Supervised-Machine-Learning-Classification
This project uses Google Earth Engine using Javascript to perform supervised land cover classification in Can Tho, Vietnam using machine learning algrorithms
LocNguyenTKP/my-dev-learning