Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. These tutorials provide a brief idea on how to extract the rainfall data for a given survey point from the CHIRPS global rainfall data set.
Time to write your first JavaScript for Earth Engine! In your Chrome browser, go to code.earthengine.google.com and copy the following into the Code Editor
Time series animations of Earth observation imagery are captivating and engaging. In this tutorial, you'll learn how to generate an animated GIF.
Google Earth Engine is a geospatial processing service with the motto "To organize the world's information and make it universally accessible and useful."
Get statistics in each zone of the image or image collection in google earth engine and export the data in CSV. Statistics are simple tools that help us for a better understanding of our images. Spatial statistics is one of the most rapidly growing areas of statistics.
20 year Time series analysis of megaproject using Landsat satellite.
Statistics are simple tools that helps us for a better understanding of our images. Spatial statistics is one of the most rapidly growing areas of statistics.
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.
Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).
NDSI is a measure of the relative magnitude of the reflectance difference between visible (green) and shortwave infrared (SWIR).
Today many different indices exist and each one has its own significance in the study. Here are the most popular indices that be calculated from free data satellites.
The Normalized Difference Water Index (NDWI) is remote sensing derived index estimating the leaf water content at the canopy level.
EVI is similar to Normalized Difference Vegetation Index (NDVI) and can be used to quantify vegetation greenness. However, EVI corrects for some atmospheric conditions and canopy background noise and is more sensitive in areas with dense vegetation.
So what is like to be an engineer? Obviously it’s the dream.
It's a pleasant valley. It's simple and Normal as it's pure to natural beauty.