Remote Sensing Specialization - Aulageo

Learn the fundamentals and applications of Remote Sensing, ArcGIS Pro and Google Earth Engine

What you'll learn

Remote Sensing Background

Applications of Remote Sensing data

Multispectral Satellite data Microwave (Radar) Satellite data Hyperspectral, Satellite data Applications in Land Cover Applications in Agriculture

Applications in Forestry, Applications in Geology, Applications in Hydrology, Applications in Sea-ice, Applications in Oceans and Coastal

ArcGIS Pro

StoryMaps applied to remote sensing

Image Analyisis

Google Earth Engine (GEE)

Basics of Google Earth Engine oriented JavaScript (JS) Programming language

Reducing and Clipping image collectionFiltering the feature or image collection

Requirements

Geospatial basics

Geographic information basics

ArcGIS Pro trial or educational licence for the ArcGIS pro excercises

Description

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).LEVEL II - REMOTE SENSING USING ArcGIS ProThis is a course on applications of Remote Sensing using ESRI Products. Includes:1) 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.Google 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.

Overview

Section 1: LEVEL I - REMOTE SENSING - FUNDAMENTALS AND APPLICATIONS

Lecture 1 Introduction

Section 2: LEVEL I - REMOTE SENSING BACKGROUND

Lecture 2 Remote Sensing

Lecture 3 Principle of Remote Sensing

Lecture 4 Important concepts for Principle of Remote Sensing

Lecture 5 History of Remote sensing

Section 3: LEVEL I - TYPES OF REMOTE SENSING

Lecture 6 Sensor based types of Remote Sensing

Lecture 7 Resolution based types and characteristics of Remote Sensing

Lecture 8 Purpose based types of Remote Sensing

Section 4: LEVEL I - APPLICATIONS OF REMOTE SENSING DATA

Lecture 9 Multispectral Satellite data

Lecture 10 Microwave (Radar) Satellite data

Lecture 11 Hyperspectral Satellite data

Lecture 12 Applications in Land Cover

Lecture 13 Applications in Agriculture

Lecture 14 Applications in Forestry

Lecture 15 Applications in Geology

Lecture 16 Applications in Hydrology

Lecture 17 Applications in Sea-ice

Lecture 18 Applications in Oceans and Coastal

Section 5: LEVEL II - REMOTE SENSING USING ArcGIS PRO

Lecture 19 Course overview

Section 6: LEVEL II - INTRODUCTION TO ArcGIS ONLINE

Lecture 20 Basics of ArcGIS Online

Lecture 21 ArcGIS Online Sign in and map viewer

Lecture 22 ArcGIS Online map layout and tools

Lecture 23 Preparing a map in ArcGIS Online

Lecture 24 Introduction to ArcGIS Living Atlas

Section 7: LEVEL II - INTRODUCTION TO ESRI STORY MAP

Lecture 25 Basics of ArcGIS Story Map

Lecture 26 Overview of an example story map

Lecture 27 StoryMap layout (Part-A)

Lecture 28 Storymap layout (Part-B)

Lecture 29 Final example of Story map

Section 8: LEVEL II - LAND USE SCIENCE

Lecture 30 Basics of Land use land cover (LULC) analysis

Lecture 31 Downloading satellite data from USGS

Lecture 32 Importing data and applying preprocessing inside ArcGIS Pro (Part-A)

Lecture 33 Importing data and applying preprocessing inside ArcGIS Pro

Lecture 34 Performing land use classification (Part-A)

Lecture 35 Performing land use classification (Part-B)

Lecture 36 Visualizing and preparing final maps for LULC in ArcGIS Pro

Section 9: LEVEL II - TIME SERIES ANALYSIS FOR URBAN SPRAWL ANALYSIS

Lecture 37 Background of Time Series, Urban Sprawl and Change Detection

Lecture 38 Preparing LULC maps for time series analysis

Lecture 39 Estimating area for each LULC class for each year

Lecture 40 Change detection in ArcGIS Pro

Lecture 41 Publishing findings for study area using ESRI Story maps

Section 10: LEVEL II - URBAN HEAT ISLAND (UHI) EFFECT

Lecture 42 Basic concepts of UHI

Lecture 43 Evaluating LST from Landsat satellite in ArcGIS Pro (Part-A)

Lecture 44 Evaluating LST from Landsat satellite in ArcGIS Pro (Part-B)

Lecture 45 Evaluating UHI trends from LST

Lecture 46 Evaluating UHI (Normalized) and UTFVI from LST

Section 11: LEVEL III - INTRODUCTION TO GOOGLE EARTH ENGINE (GEE)

Lecture 47 Google Earth Engine Course overview

Section 12: LEVEL III - BASICS OF GOOGLE EARTH ORIENTED JAVSCRIPT (JS) PROGRAMMING LANGUAGE

Lecture 48 Basics of GEE oriented JavaScript (JS) Programming language

Section 13: LEVEL III - WORKING WITH VECTOR AND RASTER DATASETS - GOOGLE EARTH ENGINE

Lecture 49 Working with vector and raster datasets

Lecture 50 Filtering the feature or image collection

Section 14: LEVEL III - THE ROLE OF REDUCERS - GOOGLE EARTH ENGINE

Lecture 51 Reducing and Clipping image collection

Lecture 52 Operators

Section 15: LEVEL III - AUTOMATING THE ANALYSIS IN GEE

Lecture 53 Automating the analysis in GEE

Geographers,GIS users,Geology proffesionals,Earth science students and teachers,ESRI users,Geospatial enthusiasts,Developers