Penginderaan Jauh

CHANNEL BELAJAR GEO

9 Oct 202208:51

Summary

TLDRThis educational video script introduces remote sensing, a technology used to gather information about objects or phenomena without direct contact. It explains the components of remote sensing, including light sources, atmosphere, objects, vehicles carrying sensors, sensors, receivers, data management, and users. The script also covers the types of images produced by remote sensing, such as photo and non-photo images, and their classifications based on the electromagnetic spectrum. Examples of satellite images and their applications in weather forecasting and resource monitoring are provided, concluding with an encouragement to learn geography and aim for high scores.

Takeaways

🌐 The script introduces remote sensing, also known as RS or Inderaja, as a science and art of obtaining information about objects, areas, or phenomena without direct contact.
🔍 Remote sensing involves analyzing data obtained from satellites or other devices that capture images or readings from a distance.
🌞 The process includes components such as energy sources (active or passive), the atmosphere, objects or phenomena on Earth, vehicles carrying sensors, sensors or cameras, receiving stations, data management, and users.
📸 There are two types of images in remote sensing: photo images and non-photo images. Photo images are captured using cameras, while non-photo images are captured using electromagnetic waves.
🌈 Photo images can be classified into five categories based on the electromagnetic spectrum: ultraviolet, orthochromatic, panchromatic, infrared, and modified infrared.
📈 Non-photo images include thermal infrared, radar, and microwave images, and can be further classified based on the sensor type and platform used.
🌍 Examples of satellite remote sensing include weather monitoring satellites like NOAA from the USA and Meteor from Russia, and resource monitoring satellites like Landsat from the USA, SPOT from France, and others.
📷 The script explains different types of aerial photography based on the orientation of the camera, the type of camera, color, and the platform used (aircraft or satellite).
🌳 Photo images can detect various features on Earth's surface, such as oil spills, coastlines, water depth, and the health of vegetation.
🚀 The script highlights the importance of remote sensing in various applications, from weather forecasting to natural resource management and environmental monitoring.
📚 The video script is part of an educational series on geography, aiming to teach and inspire students to learn more about the subject and achieve high grades.

Q & A

What is remote sensing?
-Remote sensing is the science and art of obtaining information about objects, areas, or phenomena by analyzing data obtained without direct contact with the objects, areas, or phenomena being studied.
What are the various products of remote sensing?
-Examples of remote sensing products include Google Earth and Google Maps, which are obtained from satellite images located far in space.
What are the components of remote sensing?
-The components of remote sensing include the energy source, the atmosphere, the object, the vehicle, the sensor or camera, the ground receiving station, the data management resources, and the user.
How does the process of remote sensing work?
-The process of remote sensing involves the energy source passing through the atmosphere to illuminate objects on the Earth's surface, the objects being recorded by a camera or sensor, the sensor or camera sending data to a ground receiving station, and the data being sent to data management or human resources, and finally to the user.
What are the two types of images in remote sensing?
-The two types of images in remote sensing are photographic images and non-photographic images.
What is the difference between photographic and non-photographic images?
-Photographic images are pictures of an object made with a camera, usually taken from aircraft, air balloons, etc. Non-photographic images are pictures of an object made with tools other than a camera, typically with the help of electromagnetic waves, usually taken from space satellites.
What are the five classifications of photographic images according to the electromagnetic spectrum?
-The five classifications of photographic images according to the electromagnetic spectrum are ultraviolet, orthochromatic, panchromatic or conventional, infrared original, and infrared modified.
What are the different types of aerial photographs based on the orientation of the camera?
-Aerial photographs can be classified into vertical aerial photographs, where the camera's axis is perpendicular to the Earth's surface, and oblique aerial photographs, where the camera's axis is between vertical and horizontal.
How are non-photographic images classified?
-Non-photographic images are classified based on the electromagnetic spectrum into infrared thermal, radar, and microwave images.
What are the examples of satellite remote sensing for different purposes?
-Examples of satellite remote sensing for different purposes include meteorological satellites like NOAA and Meteor, natural resource satellites like Landsat and SPOT, and ocean monitoring satellites like C-Save and MOS.
What is the importance of remote sensing in geography?
-Remote sensing is important in geography as it allows for the study of the Earth's surface and phenomena without direct contact, which can be crucial for understanding geographical patterns and changes over time.

Outlines

00:00

🌏 Introduction to Remote Sensing

The paragraph introduces the concept of remote sensing, which is the science and art of obtaining information about objects, areas, or phenomena without direct contact. It explains that remote sensing is used to gather data through satellites like Google Earth and Google Maps. The components of remote sensing are detailed: the source of energy or light (active or passive), the atmosphere that carries the light to the Earth's surface, the objects or phenomena on the Earth's surface, the vehicles carrying sensors or cameras, the sensors or cameras themselves, the receiving stations on Earth, the human resources or data management, and the users or consumers of the data. The process of remote sensing is also outlined, starting from the light source illuminating objects on Earth, recording by cameras or sensors, transmitting data to receiving stations, managing data, and finally delivering it to users. The types of images produced by remote sensing are categorized into photographic (like aerial photos) and non-photographic images, which are created with the help of electromagnetic waves and typically captured by satellites.

05:01

📸 Types of Remote Sensing Images

This paragraph delves into the different types of images produced by remote sensing, focusing on photographic and non-photographic images. It explains that photographic images are created using cameras and can be taken from various platforms like aircraft or balloons. The images are further classified based on the spectrum of electromagnetic waves into ultraviolet, orthochromatic, panchromatic, and infrared images, each with specific detection capabilities. The paragraph also discusses the orientation of the camera in aerial photography, distinguishing between vertical, oblique, and highly oblique images. Additionally, it covers non-photographic images, which are categorized into thermal infrared, radar, and microwave images. The sensors used can be single or multispectral, and the platforms can be aircraft, balloons, or satellites. Examples of satellite imagery are provided, including those used for weather forecasting, natural resource monitoring, and marine surveillance.

Mindmap

Keywords

💡Remote Sensing

Remote sensing is a technique used to detect and classify objects and phenomena on Earth without physical contact. It involves capturing data from a distance using devices like satellites or aircraft. In the context of the video, remote sensing is the central theme, as it discusses how data is collected and analyzed to understand geographical features and phenomena. The script mentions tools like Google Earth and Google Maps, which are products of remote sensing technology.

💡Active and Passive Sensors

Active sensors emit their own energy, such as a radar, to receive information about an object, while passive sensors detect energy that is naturally emitted or reflected by the object, like a camera capturing sunlight. The video script explains that remote sensing uses both types of sensors to gather data about the Earth's surface and atmosphere.

💡Atmosphere

The atmosphere acts as a medium through which energy or light from a source travels to reach the Earth's surface. It plays a crucial role in remote sensing as it can affect the quality and type of data captured. The script mentions the atmosphere as part of the process where the source energy illuminates the objects on the Earth's surface.

💡Object

In remote sensing, an object refers to any phenomenon or feature on the Earth's surface, in the atmosphere, or underwater that can be detected and analyzed. The script discusses how different objects are recorded by sensors or cameras to gather data for analysis.

💡Platform

A platform in the context of remote sensing refers to the vehicle that carries the sensor or camera, such as an airplane, satellite, or balloon. The video script mentions various platforms, including satellites in space and aircraft, which are used to capture images and data about the Earth.

💡Sensor/Camera

A sensor or camera is a device that detects and records data about objects on Earth. The script explains that sensors or cameras send data back to Earth, which is then processed and analyzed. They are essential components of remote sensing technology.

💡Receiving Station

A receiving station on Earth is responsible for capturing the data transmitted from sensors or cameras on platforms. The script mentions that after objects are recorded by sensors or cameras, the data is sent to receiving stations on Earth for further processing.

💡Data Management

Data management involves the organization, storage, and analysis of the data collected through remote sensing. The script refers to the management of visual and digital data that is sent to human resources or data management teams for processing and analysis.

💡Image Classification

The script discusses the classification of images into photo and non-photo images. Photo images are created using cameras and can be further classified based on the spectrum of electromagnetic waves they capture. Non-photo images are created with devices other than cameras, often using electromagnetic waves, and are typically captured from space using satellites.

💡Electromagnetic Spectrum

The electromagnetic spectrum refers to the range of all possible frequencies of electromagnetic radiation. The script uses this term to classify different types of photo and non-photo images, explaining how they capture different wavelengths to detect various features and phenomena on Earth.

💡Satellite Imagery

Satellite imagery is a type of remote sensing data collected by satellites orbiting the Earth. The script provides examples of satellite imagery used for various purposes, such as weather monitoring and resource management, and mentions specific satellites like NOAA and Meteor.

Highlights

Introduction to remote sensing and its significance in geography.

Definition of remote sensing according to Lillesand and Kiefer.

Explanation of the components of remote sensing technology.

Role of the light source in remote sensing, including active and passive sources.

Importance of the atmosphere in the remote sensing process.

Description of the objects and phenomena observed on Earth's surface.

Details about the vehicles carrying sensors or cameras in remote sensing.

Functionality of sensors and cameras in capturing data.

Process of data transmission from sensors to ground receiving stations.

Role of human resources and data management in remote sensing.

Types of images produced by remote sensing: photo and non-photo images.

Classification of photo images into five categories based on the electromagnetic spectrum.

Explanation of UltraViolet, OrthoChromatic, Panchromatic, and Infrared photo images.

Differentiation between aerial and satellite photo images.

Classification of non-photo images into three categories based on the electromagnetic spectrum.

Examples of satellite remote sensing applications like weather forecasting.

Description of various types of remote sensing satellites and their functions.

Importance of remote sensing in monitoring natural resources on Earth's surface and subsurface.

Encouragement for continued learning in geography and the hope for high academic achievement.

Closing remarks with an apology for any shortcomings.