#RemoteSensing #GoogleEarthEngine #GeospatialAnalysis #VegetationIndex #UrbanizationIndex #SnowCoverIndex #GeoinfoNepal


In this tutorial, we will walk you through the process of calculating various remote sensing indices using Google Earth Engine (GEE). These indices help in understanding and interpreting satellite imagery data by providing quantifiable measures of different features on Earth's surface. Indices that we will calculate include:

1. Normalized Difference Vegetation Index (NDVI): Used for assessing vegetation health.
2. Enhanced Vegetation Index (EVI): An optimized vegetation index that provides better results in areas with high vegetation density.
3. Soil Adjusted Vegetation Index (SAVI): A vegetation index that minimizes the influence of soil brightness.
4. Normalized Difference Water Index (NDWI): An index for highlighting water bodies.
5. Normalized Burn Ratio (NBR): Useful for identifying burned areas.
6. BuiltUp Index (BUI): Helps in identifying builtup or urban areas.
7. Soil Moisture Index (SMI): Gives an estimation of the moisture content in the soil.
8. Snow Indices: There are several snow indices that can be calculated from satellite imagery, including the Normalized Difference Snow Index (NDSI) and the Snow Moisture Index (SMI).

For each index, we will explain what it is used for, provide the mathematical formula, and show you how to calculate it in GEE. We will also demonstrate how to load Landsat 8 images, clip images to a specific region of interest, and visualize the results on a map.
The tutorial is divided into several sections:

0:00 Introduction
1:56 – Create Region of Interest
2:47 – Apply filters on Image
5:35 – Load Image
6:48 – Calculating NDVI
9:34 – Calculating EVI
11:32 – Calculating SAVI
12:40 – Calculating NDWI
13:40 – Calculating NBR
14:37 – Calculating BUI
17:55– Calculating SMI
19:07– Calculating NDSI
21:31 Conclusion

This video is perfect for researchers, students, and anyone interested in geospatial analysis and remote sensing. By the end of this tutorial, you will have a good understanding of how to calculate and interpret remote sensing indexes using Google Earth Engine.

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#RemoteSensing #GoogleEarthEngine #GeospatialAnalysis #VegetationIndex #UrbanizationIndex #SnowCoverIndex #GeoinfoNepal