In this notebook, you will learn how to create object masks from input prompts using the Segment Anything Model (SAM). Previous article: Use Segment Anything Model (SAM) for Geospatial Data Input prompts refer to the information or instructions provided to a model to guide its generation or decision-making process. In…

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

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…

KML to Shp Managing geospatial data frequently entails handling diverse file formats to cater to different software, platforms, and workflows. Two prevalent geospatial file formats include KML (Keyhole Markup Language) and shapefiles (SHP), each possessing distinctive features and functionalities. Converting between KML and shapefile (SHP) format KML (Keyhole Markup Language) and shapefile (SHP) stand out as widely…

CNN for Classification Introduction: In the modern landscape, satellite imagery has emerged as a critical source of information with diverse applications ranging from urban planning to disaster management. In this comprehensive guide, we’ll delve into the world of deep learning, specifically focusing on convolutional neural networks (CNNs), to effectively classify satellite…

This tutorial will guide you through the process of transforming a standalone Python script into a script tool within ArcGIS Pro. A script tool serves as a geoprocessing tool and allows you to set the required parameters before executing it. The results and messages are conveniently displayed within ArcGIS Pro…

EVI from Sentinel-2 image on GEE What is Enhanced Vegetation Index (EVI)? The Enhanced Vegetation Index (EVI) is a vegetation index that improves upon the Normalized Difference Vegetation Index (NDVI) by decoupling the canopy background signal and minimizing atmospheric interference. It offers greater sensitivity in regions with high biomass and enhances vegetation monitoring capabilities. The EVI…

Retrieving Leaf Area Index (LAI) What is Leaf area index (LAI)? The leaf area index (LAI) represents the total green leaf area per unit of the horizontal ground surface. It is a fundamental measure of vegetation structure. LAI plays a significant role in processes such as canopy interception, evapotranspiration, and gross photosynthesis since leaf surfaces are…

Timelapse Animations (GIF) of Spectral Indices — In this blog post, we will walk you through the process of creating timelapse animations using Landsat imagery, geemap, and Python. Introduction: Timelapse animations of spectral indices provide a powerful way to visualize and analyze changes in environmental features such as water bodies and vegetation over time. By leveraging Landsat imagery…