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Satellite Remote Sensing and GIS
Italy
Приєднався 11 жов 2024
Our channel provides in-depth insights into remote sensing and geospatial techniques, platforms, and software, exploring their extensive capabilities for monitoring and modeling Earth's features. Join us to discover how these tools can enhance your understanding of the environment and inform decision-making.
We cover a variety of software and topics, including:
Spatial Analysis & Modeling: ArcGIS, ArcGIS Pro, QGIS, and more.
Pixel-Based & Processing Analysis: ENVI, SNAP, Google Earth, and Google Earth Engine (GEE).
Satellite & Aerial Imagery: Access images from Landsat 5, 7, 8, and 9, Sentinel 1 and 2, NOAA, SPOT, and others.
Tutorials for Beginners: Special tutorials designed for newcomers.
Advanced Tutorials: In-depth lessons for experienced users.
Error Resolution: Guidance on troubleshooting common errors.
We cover a variety of software and topics, including:
Spatial Analysis & Modeling: ArcGIS, ArcGIS Pro, QGIS, and more.
Pixel-Based & Processing Analysis: ENVI, SNAP, Google Earth, and Google Earth Engine (GEE).
Satellite & Aerial Imagery: Access images from Landsat 5, 7, 8, and 9, Sentinel 1 and 2, NOAA, SPOT, and others.
Tutorials for Beginners: Special tutorials designed for newcomers.
Advanced Tutorials: In-depth lessons for experienced users.
Error Resolution: Guidance on troubleshooting common errors.
Supervised Land Cover Classification with Sentinel 2 | Google Earth Engine | Machine Learning
This tutorial will guide you through applying supervised machine learning classification to Sentinel-2 images for land cover analysis using Google Earth Engine.
In this tutorial, you will learn how to:
1. Import Sentinel 2 data from the Google Earth Engine data library
2. Map NDVI for teh study area
3. Create land cover training data from NDVI
4. Apply Support Vector Machines supervised classification algorithm
5. Calculate the confusion matrix and overall accuracy
6. Display and visualize classification result
7. Download the classification result
8. Open the classification results in QGIS
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👉 Code link: code.earthengine.google.com/c0034f0cbb39d47fe66a97856db644c5
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Join this channel to get access to Satellite Remote Sensing and GIS:
URLL: www.youtube.com/@SatelliteRemoteSensingandGIS
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#googleearthengine #SatelliteRemoteSensingandGIS #remote_sensing
In this tutorial, you will learn how to:
1. Import Sentinel 2 data from the Google Earth Engine data library
2. Map NDVI for teh study area
3. Create land cover training data from NDVI
4. Apply Support Vector Machines supervised classification algorithm
5. Calculate the confusion matrix and overall accuracy
6. Display and visualize classification result
7. Download the classification result
8. Open the classification results in QGIS
-------------------------------------------------------------------------------------------------------------
👉 Code link: code.earthengine.google.com/c0034f0cbb39d47fe66a97856db644c5
-------------------------------------------------------------------------------------------------------------
Join this channel to get access to Satellite Remote Sensing and GIS:
URLL: www.youtube.com/@SatelliteRemoteSensingandGIS
-------------------------------------------------------------------------------------------------------------
#googleearthengine #SatelliteRemoteSensingandGIS #remote_sensing
Переглядів: 28
Відео
How to Download Sentinel-1 SAR Data from Copernicus for free (2024, Last Update)
Переглядів 9114 днів тому
This video will show you how to register and download Sentinel-1 SAR data from the Copernicus Open Access Hub for free, updated to reflect the latest version of the website. Copernicus Open Access Hub Link: browser.dataspace.copernicus.eu Join this channel to get access to Satellite Remote Sensing and GIS: URLL: www.youtube.com/@SatelliteRemoteSensingandGIS #sentinels #remote_sensing
How to Convert Google Earth KMZ and KML Files to Shapefiles: A Step-by-Step Guide
Переглядів 821 день тому
This guide explains the process of creating several features in Google Earth and converting from KMZ and KML files into shapefiles for use in GIS software such as ArcGIS. Join this channel to get access to Satellite Remote Sensing and GIS: URLL: www.youtube.com/@SatelliteRemoteSensingandGIS #arcgis #arcgispro #remote_sensing #google earth
Clipping a DEM Using Mask Extraction and Generating Slope, Aspect, and Curvature Maps
Переглядів 1321 день тому
This tutorial guides you through the process of clipping a Digital Elevation Model (DEM) using a mask and generating derived products such as slope, aspect, and curvature maps. These steps are essential for analyzing terrain characteristics and preparing elevation data for further geospatial analysis. Clipping a DEM Using Mask Extraction 1. Prepare the Mask Layer: -Ensure your mask layer (e.g.,...
How to Change the Projection of Raster and Vector Data in ArcGIS?
Переглядів 1221 день тому
This tutorial provides a comprehensive guide on how to change the projection of both raster and vector datasets using the Data Management Tools in ArcGIS. Correctly projecting your data ensures spatial accuracy and compatibility with other datasets within your GIS projects. Steps for raster data: 1. Open ArcToolbox and navigate to Data Management Tools → Projections and Transformations → Raster...
Resampling Raster Data: How to Change Cell Size Using ArcGIS
Переглядів 1421 день тому
This tutorial provides a step-by-step guide on how to adjust the pixel size of a raster dataset using ArcGIS. In ArcMap, the primary tool designed for this task is the Resample tool. By resampling, you can either increase or decrease the pixel size to match the specific resolution requirements of your project. This process is essential for tasks such as optimizing raster datasets for analysis, ...
Soil Salinity Mapping Using Machine Learning and Landsat-8 in Google Earth Engine
Переглядів 7728 днів тому
This tutorial demonstrates how to map soil salinity distribution using machine learning and Landsat-8 imagery in Google Earth Engine. The process is divided into three main steps: 1. Estimating Soil Salinity Distribution: Soil salinity was initially estimated using a spectral index derived from Landsat-8 data. 2. Training Data Collection: Training datasets were created based on the calculated s...
Land Use/Land Cover Classification with Landsat-8 in Google Earth Engine: Supervised Classification
Переглядів 43Місяць тому
Step-by-Step Workflow: 1. Data Preparation: Access Landsat-8 Surface Reflectance imagery from the GEE data catalog. Explain how to filter the data by location and date range. 2. Training Data Collection: Explain the importance of labeled data for supervised classification. Use the GEE map interface to digitize training points for different land cover types (e.g., water, urban, vegetation). Labe...
A Complete Guide to ArcGIS Desktop: How to Work with Vector Data (Part 2)
Переглядів 24Місяць тому
Welcome to this comprehensive guide to ArcGIS Desktop! Here's an outline of what we will cover: 1. Working with Vector Data Definition: Understanding vector data types (points, lines, polygons). Applications: Exploring how vector data is used in spatial analysis and map creation. 2. Advanced Geoprocessing Applications Buffer: Creating buffer zones around features. Clip: Extracting a subset of a...
Introduction to ArcGIS Desktop (Part 01)
Переглядів 12Місяць тому
Welcome to the "Complete Beginner to Professional's Guide to ArcGIS Desktop" tutorial! This guide is designed to provide you with a comprehensive introduction to the capabilities of ArcGIS Desktop, especially if you're just starting your GIS journey. ESRI’s ArcGIS has been a leading GIS software for years. Despite the rise of other commercial and open-source GIS tools, it remains one of the mos...
Importing Shapefiles (e.g., Polygon, Polyline, and Ponit) into Google Earth Engine/How to Create
Переглядів 49Місяць тому
In this tutorial, you will learn how to import different types of shapefiles, such as polygons, polylines, and points, into Google Earth Engine (GEE). Additionally, the tutorial covers how to create shapefiles directly in Google Earth, convert them to GIS-compatible files, and import them into GEE. Furthermore, you'll explore the tools available in GEE for creating shapefiles directly within th...
How to Download Sentinel-2 and Landsat-8 Images from Google Earth Engine
Переглядів 80Місяць тому
In this tutorial, we will explore how to efficiently download Sentinel-2 and Landsat-8 data for large areas using Google Earth Engine. Additionally, we will cover how to collect, visualize, and export these datasets within the QGIS environment. Code Link: code.earthengine.google.com/5ce99bba5c06c69dd1824749beaadc2b Join this channel to get access to Satellite Remote Sensing and GIS: URLL: www.y...
How to Calculate NDVI Using Landsat 8 in Google Earth Engine
Переглядів 87Місяць тому
This tutorial will guide you through the process of calculating the Normalized Difference Vegetation Index (NDVI) using Landsat-8 imagery in the Google Earth Engine (GEE) platform. NDVI is a commonly used vegetation index derived from satellite imagery, widely used in agricultural, environmental, and climate studies. Landsat-8 data includes multiple bands, but for NDVI, we only need the Red and...
Calculate NDVI of Sentinel-2 in Google Earth Engine (GEE)
Переглядів 91Місяць тому
NDVI, or Normalized Difference Vegetation Index, is a popular remote sensing metric used to evaluate vegetation health and density. It works by analyzing the reflectance of light in the red and near-infrared (NIR) regions of the electromagnetic spectrum, allowing for an assessment of plant vitality and coverage. NDVI values range from -1 to 1, with: 0: Non-vegetated surfaces (e.g., water, barre...
Climate Data Analysis using Google Earth Engine, including LST, precipitation, ET, and snow cover
Переглядів 662 місяці тому
In this tutorial, you'll explore how to work with various climate datasets using Google Earth Engine, including land surface temperature, precipitation, evapotranspiration, and snow cover. You'll also learn how to analyze long-term trends and create charts to visualize these variations. This video is a great resource for discovering the range of free climatic data products available on Google E...
Surface water resources (e.g., permanent, seasonal and ....) mapping using Google Earth Engine
Переглядів 1152 місяці тому
Surface water resources (e.g., permanent, seasonal and ....) mapping using Google Earth Engine
Land Surface Temperature (LST) Estimation with Landsat-8 using Google Earth Engine
Переглядів 1282 місяці тому
Land Surface Temperature (LST) Estimation with Landsat-8 using Google Earth Engine
Soil Salinity Estimation using Landsat 8 data in Google Earth Engine
Переглядів 1272 місяці тому
Soil Salinity Estimation using Landsat 8 data in Google Earth Engine
Arc GIS Pro, Create a Project Template
Переглядів 152 місяці тому
Arc GIS Pro, Create a Project Template
Arc GIS Pro, Author & Share a Local Scene
Переглядів 32 місяці тому
Arc GIS Pro, Author & Share a Local Scene
Arc GIS Pro, Make a Geoprocessing Model
Переглядів 122 місяці тому
Arc GIS Pro, Make a Geoprocessing Model
Arc GIS Pro, Create Points From a Table
Переглядів 62 місяці тому
Arc GIS Pro, Create Points From a Table
pm2.5 monitor please
ok I will prepare a comprrehensive video about it. Thanks for your suggestion.
Pls will u share the code in the description
Thank you very much for your comment. The shared one does not working?
code.earthengine.google.com/672c0781828c8d8a3e08d995f1f500fd
Thanks for sharing. How to quantify the salinity?
Thank you
Perfect. Thanks.
Tankse good
Very nice❤
hello Please share the code
Here you are code.earthengine.google.com/672c0781828c8d8a3e08d995f1f500fd
Hi here is the code: code.earthengine.google.com/672c0781828c8d8a3e08d995f1f500fd
Nice
Hello, Honorable. Please share the code
code.earthengine.google.com/5d712c26b3506e4046f598efdbe393a5
Hello, Honorable. Please share the code
code.earthengine.google.com/8b6a22f901477dd49a70748e66d53752
Very good, thanks
Thanks. Very helpful.
Very good. Thanks
Thanks alot❤
Great❤