From 77c91cdae16af95c3c27dd0acc51ef06d2fb2218 Mon Sep 17 00:00:00 2001 From: Arun Kumar Pandey Date: Wed, 15 Nov 2023 02:33:28 +0100 Subject: [PATCH] Remote sensing --- Remote-sensing-content.html | 31 +- Satellites-sensors.html | 317 +++++++++++++++++++++ assets/img/remote-sensing/mixed-pixels.jpg | Bin 0 -> 70915 bytes assets/img/remote-sensing/pixel-values.gif | Bin 0 -> 10466 bytes assets/img/remote-sensing/the-pixels-1.png | Bin 0 -> 554485 bytes assets/img/remote-sensing/the-pixels.png | Bin 0 -> 159104 bytes 6 files changed, 337 insertions(+), 11 deletions(-) create mode 100644 Satellites-sensors.html create mode 100644 assets/img/remote-sensing/mixed-pixels.jpg create mode 100644 assets/img/remote-sensing/pixel-values.gif create mode 100644 assets/img/remote-sensing/the-pixels-1.png create mode 100644 assets/img/remote-sensing/the-pixels.png diff --git a/Remote-sensing-content.html b/Remote-sensing-content.html index 10d8608..c3ca0a6 100644 --- a/Remote-sensing-content.html +++ b/Remote-sensing-content.html @@ -142,24 +142,33 @@

Remote sensing Content

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2. Remote-sensing fundamentals

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2. Satellite data

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3. Satellites and sensors

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3. Remote-sensing fundamentals

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Data protection polices

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Image credit: Yinghui Quan et al.
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Analog photograph vs. Digital images in Remote Sensing:

+ In remote sensing, it is very important to understand the data provided by sensors in order to interpret them properly. The first thing to do is to understand what a satellite image + is and why it is different from a photograph. The main difference between a photograph and a satellite image is that the photograph has an analogue format and is usually printed + on paper before being interpreted. The satellite image has a digital format and a computer is generally used to analyse and interpret it. The evolution of remote sensing techniques + has witnessed a transition from traditional analog methods to the contemporary era of digital technology. A comparative table below summarizes key differences between the two. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
AspectAnalog PhotographsDigital Images
Capture MethodUses film and optical systems for capturing images.Employs electronic sensors to directly capture digital data.
ResolutionLimited resolution, typically lower than digital counterparts.Higher resolution, enabling finer detail and clarity.
FlexibilityLimited post-capture manipulation options.Allows extensive post-processing for enhancement and analysis.
StorageRequires physical storage space for film rolls.Data stored digitally, facilitating easy archiving and retrieval.
TransmissionTime-consuming and manual distribution of physical prints.Easily transmitted electronically for rapid sharing and analysis.
CostLower initial costs, but ongoing expenses for film and processing.Higher initial investment, but lower ongoing costs for storage.
Environmental ImpactChemical processes in film development can be environmentally harmful.Generally more environmentally friendly, with less chemical waste.
Integration with TechnologyLimited integration with modern data analysis tools.Seamless integration with advanced data science and analytics tools.

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Digital image formats

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  • The distinction between analogue and digital formats lies in how they represent and store information. In the analogue format, data is continuous, seamlessly spread throughout. + For instance, when you capture an image in an analogue format, there are no discernible edges between different parts of the image.
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  • On the other hand, digital format employs a different approach. It saves information in separate blocks, often referred to as pixels. When you zoom in on a digital image, you'll + notice these pixels—small squares of various colors in the case of satellite imagery. This discrete representation, organized in a matrix of squares, is a key characteristic of + digital formats.
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  • The digital format relies on a mathematical process called a 'binary system.' This system is the foundation of computer operations, enabling them to register, calculate, save data, and display + images. In the binary system, computers comprehend only electric pulses, translating them into a binary code of 0s and 1s. This binary language forms the basis of the entire computer world.
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  • Mathematicians initially doubted the ability of computers to handle decimal systems, the way we traditionally count (0 to 9, then a new series from 10 to 19, and so on). However, computers + operate in a binary mode, going from 0 to 1, restarting the series. It's a binary world where 'yes' or 'no,' 0 or 1, encapsulates the fundamental language of computation
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    • A group of 2 numbers (also called 'digits') is called a 'bit';
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    • A group of 8 bits is called a 'byte' (= 256 in the decimal system);
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    • 1 Kb is equal to 1000 bytes;
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    • 1 Mb is equal to 1,000,000 bytes;
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    • If your computer has a memory of 64Mb, this means that it can cope with data containing up to 64 × 1,000,000 × 8, that is 512,000,000 bits or electric pulses;
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    • And if your computer has a hard disk of 2Gb, it means that it can contain data amounting to 2 × 1,000,000,000 × 8, that is 16,000,000,000 bits or electric pulses.
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The pixels

+ In remote sensing, pixels are the smallest units of a digital image, representing specific areas on the Earth's surface. Each pixel has a numeric value reflecting the characteristics of the + corresponding scene, such as brightness or color. Remote sensing images are composed of a grid of pixels, and the resolution is determined by the size of these pixels. Higher resolution + provides more detailed images. Pixels are crucial for the digital representation, storage, and analysis of remote sensing data.

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Image credit: © Darius Phiri and Justin Morgenroth
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+ + Each pixel holds a numeric value, known as a pixel value, reflecting attributes like color or brightness. In remote sensing, pixel values encode information about the observed scene, + facilitating data interpretation and analysis. These values are fundamental for understanding and processing digital imagery. + + + +
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Image credit: © Lefei Zhang et al.
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References

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