This project focuses on detecting urbanization changes using Landsat 8 satellite imagery. The aim is to analyze urban expansion over time by computing various indices and applying machine learning ...
Run the corresponding GEE script for Landsat 7 or Landsat 8. (landsat7_classification.js or landsat8_classification.js or sentinel2A_classification.js). The output of the GEE script will be three ...
The resultant promontory’s timelapse-evoking rise and fall was subsequently recorded over several years by remote sensing instruments aboard the Landsat 8 and 9 satellites. At the beginning of ...
Recent techniques for detecting CCS often employ deep learning methods, which are effective but typically require extensive training data specific to each type of satellite imagery. This study ...
If you have not downloaded them yet, please click here. The folder containing pre-fire images (for this procedure, the Landsat 8 images name used for pre fire is LC80010852017008LGN00); The folder ...
A threshold of 0.8 was applied to classify pixels with a ... for detecting bare coal in open-pit mining areas using Landsat imagery. The proposed method demonstrated high accuracy and reliability ...