Скачать с ютуб Intro to Google Earth Engine: Estimating Changes in Vegetation Condition in a Rangeland Ecosystem в хорошем качестве

Intro to Google Earth Engine: Estimating Changes in Vegetation Condition in a Rangeland Ecosystem

This is a recording of the Earth Engine workshop hosted by IGIS on May 7, 2021. Learn more about IGIS: http://igis.ucanr.edu/. Introduction to Google Earth Engine: Estimating Changes in Vegetation Condition in a Rangeland Ecosystem. This workshop will introduce participants to Earth Engine, a cloud/browser-based platform that enables large analyses in very little time. It’s most relevant for people that are interested in using satellite and aerial imagery to study large areas, long time periods, or both. Earth Engine is home to hundreds of public remote sensing/geospatial datasets totaling more than thirty petabytes, and growing by thousands of images daily (it is continuously updated as images are captured). We will take advantage of the up-to-date and easy-to-access satellite imagery in Earth Engine to calculate and analyze changes in a vegetation index (Normalized Difference Vegetation Index, or NDVI) from recent Sentinel imagery at the Sierra Foothills Research and Extension Center. First, we’ll focus on the fundamentals that are needed to explore the Earth Engine API, including familiarity with JavaScript and common Earth Engine commands. Next, we’ll work through several basic tasks, ultimately building towards a simple analysis of NDVI over time and exporting a change image. The main goal of the workshop is to make the case that surmounting the initial hurdle of using JavaScript in EE is worth the payout in computational power and speed. EE sign up: https://earthengine.google.com/signup/ EE playground: https://code.earthengine.google.com/ Workshop worksheet/document: https://docs.google.com/document/d/11... Workshop code repository: https://code.earthengine.google.com/?... Workshop page: http://igis.ucanr.edu/Training/Google...