Remote Sensing - Fundamentals And Applications

Learn the fundamentals and applications of remote sensing

What you'll learn
Remote Sensing Background
Types of Remote Sensing
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
Requirements
no recqurements
Description
Remote 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 or 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).Section-1: IntroductionCourse IntroductionSection-2: Remote Sensing BackgroundRemote SensingPrinciple of Remote SensingImportant concepts for Principle of Remote SensingHistory of Remote sensingSection-3: Types of Remote SensingSensor based types of Remote SensingResolution based types and characteristics of Remote SensingPurpose based types of Remote SensingSection-4: Applications of Remote Sensing dataMultispectral Satellite dataMicrowave (Radar) Satellite da taHyperspectral Satellite dataApplications in Land CoverApplications in AgricultureApplications in ForestryApplications in GeologyApplications in HydrologyApplications in Sea-iceApplications in Oceans and Coastal

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Section 2: 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: 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: 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

geographers,geology proffesionals,GIS users,land science proffesionals,earth science students,social studies teachers