SAM for Geospatial Data Next related article: Segment Anything Model (SAM) on Apple Silicon M1 and M2 The Segment Anything Model (SAM) is an image segmentation model developed by OpenAI that is capable of cutting out almost anything from an image. …

The functions provide the mathematical formulas for 10 common vegetation indices, implemented in Python, Matlab and R languages for data analysis and processing in remote sensing applications. Previous article: 10 Common Vegetation Indices and Their Applications in Remote Sensing 10 Common Vegetation Indices and Their Applications in Remote Sensing Vegetation indices are mathematical expressions that help to quantify the health, density, and vigor of vegetation from…tnmthai.medium.com

Vegetation indices are mathematical expressions that help to quantify the health, density, and vigor of vegetation from remote sensing data. They are widely used in various applications such as agriculture, forestry, ecology, and land management. Here are ten common vegetation indices and their applications: Next article: Functions for 10 Vegetation…

Mean, Median and Mode: Why do we need them? — Mean: The mean, also known as the average, is a measure of central tendency. It is calculated by summing up all the values in a dataset and dividing the sum by the total number of values. The mean is sensitive to outliers, as extreme values can significantly impact its value. …

Create water mask using Scene Classification Layer (Sentinel 2) Previous related article: Understanding Sentinel-2 L2A Scene Classification Map with Python Codes Understanding Sentinel-2 L2A Scene Classification Map with Python Codes Sentinel-2 L2A Scene Classification Map Classestnmthai.medium.com To create a water mask from Sentinel-2 satellite imagery using the Scene Classification Layer (SCL), you can follow these steps:

SAM on Mac M1 and M2 Check if your Mac with M1/M2 chip is compatible with Metal Performance Shaders (MPS). Read link below: Training PyTorch models on a Mac M1 and M2 Metal accelerationtnmthai.medium.com Insert these two lines into code to run on Metal Performance Shaders (MPS) backend. device = 'mps' if torch.backends.mps.is_available() else 'cpu' sam.to(device=device) Set-up Necessary imports and helper functions for displaying points, boxes, and masks.

Calculate the Normalised Burn Ratio (NBR) using Landsat 8. The Normalized Burn Ratio (NBR) is a remote sensing index specifically designed to identify burnt areas in large fire zones. …

What is the difference between NADIR Images and Oblique Images? — NADIR images and oblique images are two types of aerial images that are used in remote sensing and GIS applications. NADIR images are taken directly from above, while oblique images are taken from an angle. …

Sentinel-2 L2A Scene Classification Map Classes Next related article: Create a water mask from Sentinel-2 satellite imagery using the Scene Classification Layer (SCL) Create a water mask from Sentinel-2 satellite imagery using the Scene Classification Layer (SCL) Create water mask using Scene Classification Layer (Sentinel 2)tnmthai.medium.com Sentinel-2 is a satellite mission developed by the European Space Agency (ESA) as part of the Copernicus program. The Sentinel-2 mission is designed to provide high-resolution, multispectral…