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LEVEL I - REMOTE SENSING FUNDAMENTALS AND APPLICATIONSRemote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft). Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth. Some examples are:Cameras on satellites and airplanes take images of large areas on the Earth's surface, allowing us to see much more than we can see when standing on the ground.Sonar systems on ships can be used to create images of the ocean floor without needing to travel to the bottom of the ocean.Cameras on satellites can be used to make images of temperature changes in the oceans.Some specific uses of remotely sensed images of the Earth include:Large forest fires can be mapped from space, allowing rangers to see a much larger area than from the ground.Tracking clouds to help predict the weather watching erupting volcanoes, and help watching for dust storms.Tracking the growth of a city and changes in farmland or forests over several years or decades.Discovery and mapping of the rugged topography of the ocean floor (e.g., huge mountain ranges, deep canyons, and the "magnetic striping" on the ocean floor). #AulaGEOLEVEL II - REMOTE SENSING USING ArcGIS ProThis is a course on applications of Remote Sensing using ESRI Products. Includes: #AulaGEO1) Introduction i. Course Overview2) Introduction to ArcGIS Onlinei. Basics of ArcGIS Onlineii. ArcGIS Online Sign in and map vieweriii. ArcGIS Online map layout and toolsiv. Preparing a map in ArcGIS Onlinev. Introduction to ArcGIS Living Atlas3) Introduction to ESRI Story Mapi. Basics of ArcGIS Story Mapii. Overview of an example story mapiii. StoryMap layout (Part-A)iv. Storymap layout (Part-B)v. Final example of Story map4) Land use sciencei. Basics of Land use land cover (LULC) analysisii. Downloading satellite data from USGSiii. Importing data and applying preprocessing inside ArcGIS Pro (Part-A)iv. Importing data and applying preprocessing inside ArcGIS Pro (Part-B)v. Performing land use classification (Part-A)vi. Performing land use classification (Part-B)vii. Visualizing and preparing final maps for LULC in ArcGIS Pro5) Time series analysis for Urban Sprawl Analysisi. Background of Time Series, Urban Sprawl, and Change Detectionii. Preparing LULC maps for time series analysisiii. Estimating the area for each LULC class for each yeariv. Change detection in ArcGIS Prov. Publishing findings for the study area using ESRI Story maps6) Urban Heat Island (UHI) Effecti. Basic concepts of UHIii. Evaluating LST from Landsat satellite in ArcGIS Pro (Part-A)iii. Evaluating LST from Landsat satellite in ArcGIS Pro (Part-B)iv. Evaluating UHI trends from LSTv. Evaluating UHI (Normalized) and UTFVI from LSTLEVEL III - INTRODUCTION TO GOOGLE EARTH ENGINEGoogle Earth Engine is a platform for scientific analysis and visualization of geospatial datasets, for academic, non-profit, business, and government users. #AulaGEOGoogle Earth Engine hosts satellite imagery and stores it in a public data archive that includes historical earth images going back more than forty years. The images, ingested on a daily basis, are then made available for global-scale data mining.Earth Engine also provides APIs and other tools to enable the analysis of large datasets.Google Earth enables you to travel, explore, and learn about the world by interacting with a virtual globe. You can view satellite imagery, maps, terrain, 3D buildings, and much more.Earth Engine, on the other hand, is a tool for analyzing geospatial information. You can analyze forest and water coverage, land use change, or assess the health of agricultural fields, among many other possible analyses.While the two tools rely on some of the same data, only some of Google Earth's imagery and data are available for analysis in Earth Engine.

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