This document provides an overview of remote sensing concepts. It defines remote sensing as acquiring information about an object without physical contact. Remote sensing data is collected from platforms like satellites and aircraft and analyzed. The document outlines the electromagnetic spectrum, how energy interacts with the atmosphere and objects, different sensor and image types, and resolutions. It also defines key terms like digital image, satellite imagery, spectral signature, and discusses different platform and sensor types used in remote sensing.
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
This is all about remote sensing. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth.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 from the targeted area. Special cameras collect remotely sensed imagesof the Earth, which help researchers "sense" things about the Earth.
RS & GIS, Image Interpretation, Methods of Image interpretation, Types of interpretation, Factors governing image interpretation, Activities to interpret image, Sensors, Role of sensors in Image derivation, Aerial Photography, LISS-3, Image characteristics, Special characteristics, Shadow, Texture, Pattern, associated features in images
hyperspectral remote sensing and its geological applicationsabhijeet_banerjee
this is an introductory presentation on hyperspectral remote sensing, which essential deals with the distinguishing features, imaging spectrometers and its types, and some of the geological applications of hyperspectral remote sensing.
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURELagnajeetRoy
India is a country that depends on agriculture. Today in this era of technological supremacy, agriculture is also using different new technologies like some robotic machinery to remote sensing and Geographical Information System (GIS) for the betterment of agriculture. It is easy to get the information about that area where human cannot check the condition everyday and help in gathering the data with the help of remote sensing. Whereas GIS helps in preparation of map that shows an accurate representation of data we get through remote sensing. From disease estimation to stress factor due to water, from ground water quality index to acreage estimation in various way agriculture is being profited by the application of remote sensing and GIS in agriculture. The applications of those software or techniques are very new to the agriculture domain still much more exploration is needed in this part. New software’s are developing in different parts of the world and remote sensing. Today farmers understand the beneficiaries of these kinds of techniques to the farm field which help in increasing productivity that will help future generation as technology is hype in traditional system of farming.
This is all about remote sensing. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth.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 from the targeted area. Special cameras collect remotely sensed imagesof the Earth, which help researchers "sense" things about the Earth.
RS & GIS, Image Interpretation, Methods of Image interpretation, Types of interpretation, Factors governing image interpretation, Activities to interpret image, Sensors, Role of sensors in Image derivation, Aerial Photography, LISS-3, Image characteristics, Special characteristics, Shadow, Texture, Pattern, associated features in images
hyperspectral remote sensing and its geological applicationsabhijeet_banerjee
this is an introductory presentation on hyperspectral remote sensing, which essential deals with the distinguishing features, imaging spectrometers and its types, and some of the geological applications of hyperspectral remote sensing.
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURELagnajeetRoy
India is a country that depends on agriculture. Today in this era of technological supremacy, agriculture is also using different new technologies like some robotic machinery to remote sensing and Geographical Information System (GIS) for the betterment of agriculture. It is easy to get the information about that area where human cannot check the condition everyday and help in gathering the data with the help of remote sensing. Whereas GIS helps in preparation of map that shows an accurate representation of data we get through remote sensing. From disease estimation to stress factor due to water, from ground water quality index to acreage estimation in various way agriculture is being profited by the application of remote sensing and GIS in agriculture. The applications of those software or techniques are very new to the agriculture domain still much more exploration is needed in this part. New software’s are developing in different parts of the world and remote sensing. Today farmers understand the beneficiaries of these kinds of techniques to the farm field which help in increasing productivity that will help future generation as technology is hype in traditional system of farming.
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...Ange Felix NSANZIYERA
"Remote sensing” is the science (and to some extent, art) of acquiring information about the Earth's surface without actually being in contact with it. This is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information."
In much of remote sensing, the process involves an interaction between incident radiationand the targets of interest. This is exemplified by the use of imaging systems where thefollowing seven elements are involved. Note, however that remote sensing also involves thesensing of emitted energy and the use of non-imaging sensors.
Remote sensing and aerial photography study notes. Including concept and history of RS, visual image interpretation, digital image interpretation, application of RS, digital imaging, application of remote sensing etc.
physics of remote sensing,ideal remote sensing,swath,platform,sensor,orbit and its characteristics,electromagnetic radiations,EMR solar radiations and its application,shortwave and long waves,spectrul reflectance curve, resolution AND multi concept,FCC,
Fundamentals of Remote Sensing - Introduction
What is Remote Sensing?
So, what exactly is remote sensing? For the purposes of this tutorial, we will use the following definition:
"Remote sensing is the science (and to some extent, art) of acquiring information about the Earth's surface without actually being in contact with it. This is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information."
In much of remote sensing, the process involves an interaction between incident radiation and the targets of interest. This is exemplified by the use of imaging systems where the following seven elements are involved. Note, however that remote sensing also involves the sensing of emitted energy and the use of non-imaging sensors.
Supervised classification is the technique most often used for the quantitative analysis of remote sensing image data. At its core is the concept of segmenting the spectral domain into regions that can be associated with the ground cover classes of interest to a particular application.
Supervised classification requires previously classified reference samples (the GT) in order to train the classifier and subsequently classify unknown data. In the field of hyperspectral image classification, supervised methods are divided according to their training system.
Link: https://www.sciencedirect.com/topics/earth-and-planetary-sciences/supervised-classification
Features Identification through Satellite ImagePallab Jana
Features Identification through Satellite Image (Landsat 8 OLI and Sentinel 2) of Midnapore, West Bengal, India
This study was done near of Vidyasagar University, Midnapore with some selected features.
Spatial Dicision Support System (Criteria Map Generation)Pallab Jana
A spatial decision support system (SDSS) is an interactive, computer-based system designed to assist in decision making while solving a semi-structured spatial problem.[1] It is designed to assist the spatial planner with guidance in making land use decisions. A system which models decisions could be used to help identify the most effective decision path.
An SDSS is sometimes referred to as a policy support system, and comprises a decision support system (DSS) and a geographic information system (GIS). This entails use of a database management system (DBMS), which holds and handles the geographical data; a library of potential models that can be used to forecast the possible outcomes of decisions; and an interface to aid the users interaction with the computer system and to assist in analysis of outcomes.
Link: https://en.wikipedia.org/wiki/Spatial_decision_support_system
Example: CHANGE DETECTION
Input Files:
1. LULC_2005.shp
2. LULC_2015.shp
3. Change ID TABLES
a. LULC_ID
b. LULC_05_Code
c. LULC_15_Code
d. Change_Id_Table
Problem: To determine change in LULC patterns showing change details.
Steps:
1. Join table-3a with attribute tables of 1 & 2 shape files F_Id_2005, F_Id_2015 and F_Id (of 3a contain same data)
2. Join respective LULC codes (3b and 3c)
3. UNION #1 and #2
4. Open Attribute Table of UNION layer
5. ADD a new field “Change” to the attribute table of UNION layer
6. Use “Field Calculator” to calculate values of “Change”
a. Change = LULC_05_Code + LULC_15_Code
7. Add Change_Id_Table (3d)
8. Join Attribute table of Union layer with Change_Id_Table (Common field: “Change” and “CH_ID”)
9. Add area field in the attribute table of Union layer.
Instruction:-
1.Join attribute tables with polygon maps
2. Note each polygon is linked to a record in the attribute table. Label polygons.
3.Create layers showing:
I. Granites only;
II.Diabase within fault zone;
III.Granites within fault zone;
IV.Granites outside fault zone.
Interpolation is a statistical method by which related known values are used to estimate an unknown price or potential yield of a security. Interpolation is a method of estimating an unknown price or yield of a security. This is achieved by using other related known values that are located in sequence with the unknown value.
Link: https://en.wikipedia.org/wiki/Interpolation
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
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3. Remote Sensing
Remote Sensing is the small or large scale acquisition of information of an object
phenomenon by the use of either recording or real time sensing device (s) that is not physical
or intimate contact with the object.
Remote Sensing is the acquisition of information about an object or phenomenon without
making physical contact with the object and thus in contrast to on-site observation,
especially the Earth. Remote sensing is used in numerous fields, including geography, land
surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology,
oceanography, glaciology, geology); it also has military, intelligence, commercial, economic,
planning, and humanitarian applications.
Stages of Remote Sensing:
A) 1st Stage: Data Collection
B) 2nd Stage: Data Analysis
4. Application Areas or Relevance of Remote Sensing in Geography
A) Water Resource Management
i) Determination of Surface Water
ii) Determination of Ground Water
iii) Determination of Flood
iv) Water Pollution Detection
B) Forestry Application
C) Ocean and Coastal Monitoring
D) Atmosphere related Application
E) Agricultural Application
F) Wildlife Ecology Application
G) Environmental Degradation related Application
H) Application of Natural Disaster Assessment
I) Land Use And Land Cover Mapping
J) Urbanisation Related Application
K) Geology Related Application
L) Geomorphology Related Application
5. Advantages:
1. Fast Data Collection
2. Huge Area Cover
3. Revisable
4. Analysis by Computer
5. Multi purpose using
6. Save of Money & Time
7. Assumed storage of information
8. Receiving information in inaccessible places
Disadvantages:
1. Avoid of Small elements
2. Problem of differentiation
3. Gathering of Unwanted Data
4. Barrier of Cloudiness
5. Problem of Deep analysis
6. The initial cost is high
7. Need trained persons
6. Types of Remote Sensing
A) On the basis of Energy Source:
1) Active Remote Sensing
2) Passive Remote Sensing
B) On the basis of Wave length Regions:
1) Visible and Reflected infrared Remote Sensing (0.38-3μm)
2) Thermal infrared Remote Sensing (3μm-100μm)
3) Microwave Remote Sensing (1mm-1m)
C) On the basis of Method:
1) Aerial Photograph
2) Satellite Imagery
7. Electromagnetic Radiation (EMR)
Electromagnetic radiation (EM radiation or EMR) refers to the waves (or their quanta,
photons) of the electromagnetic field, propagating (radiating) through space, carrying
electromagnetic radiant energy. It includes radio waves, microwaves, infrared, (visible)
light, ultraviolet, X-rays, and gamma rays.
There are four main electromagnetic interactions:
The force of attraction or repulsion between electric charges is inversely proportional to
the square of the distance between them.
Magnetic poles come in pairs that attract and repel each other, much as electric charges
do.
An electric current in a wire produces a magnetic field whose direction depends on the
direction of the current.
A moving electric field produces a magnetic field, and vice versa.
8. Electromagnetic Spectrum (EMS)
Wave Band Wave Length
(Micro Meter)
Short
Wave
Cosmic Ray 0.000001
Gamma Ray 0.000001-
0.0001
X-Ray 0.0001-0.1
Ultra Violet (UV) 0.1-0.4
Visible Band 0.4-0.7
Blue: 0.4-0.5
Green: 0.5-0.6
Red: 0.6-0.7
Near-infrared (NIR) 0.7-1.3
Long
Wave
Middle Infrared 1.3-3
Thermal Infrared 3-14
Microwave 14-10^5
Radio-Wave &
Television Wave
10^5-10^8
The electromagnetic spectrum is
the range
of frequencies (the spectrum)
of electromagnetic radiation and
their
respective wavelengths and photon
energies.
9. Energy Interaction With the Atmosphere
Before radiation used for remote sensing reaches the Earth's surface it has to travel through
some distance of the Earth's atmosphere. Particles and gases in the atmosphere can affect
the incoming light and radiation. These effects are caused by the mechanisms of scattering
and absorption.
Types of Energy Interaction with the Atmosphere
A) Refraction
B) Absorption
C) Scattering
a) Rayleigh Scattering (0.4-0.7μm) (sky appears “blue”)
b) Mie Scattering (0.1-10μm) (sky appears “red”)
c) Non-Selective Scattering (>10μm) (sky appears “white”)
**Atmospheric Window:
One important practical consequence of the interaction of electromagnetic radiation with
matter and of the detailed composition of our atmosphere is that only light in certain
wavelength regions can penetrate the atmosphere well. These regions are called atmospheric
windows.
10. Short Questions
##Gray Value/Gray Level: The grey level or grey value indicates the brightness of a pixel.
##True Colour Composition (TCC): A natural or true color composite is an image
displaying a combination of the visible red, green and blue bands to the corresponding red,
green and blue channels on the computer display.
##False Colour Composition (FCC): False color images are a representation of a
multispectral image produced using any bands other than visible red, green and blue as the
red, green and blue components of the display.
## Standard False Colour Composition (SFCC): When FCC Globally followed.
## Vegetation Indices (VI): Different bands of a multispectral image may be combined to
accentuate the vegetated areas. One such combination is the ratio of the near-infrared band to
the red band. This ratio is known as the Ratio Vegetation Index (RVI).
##Black Body Radiation: Black-body radiation is the thermal electromagnetic radiation
within or surrounding a body in thermodynamic equilibrium with its environment, emitted by
a black body (an idealized opaque, non-reflective body). It has a specific spectrum of
wavelengths, inversely related to intensity that depend only on the body's temperature, which
is assumed for the sake of calculations and theory to be uniform and constant.
##Pixel: A pixel, or picture element is a physical point in a raster image, or the smallest
addressable element in an all points addressable display device; so it is the smallest
controllable element of a picture represented on the screen.
11. Interaction of EMR with the Object
A) Soil: Water can coat soil as in the image to the left. Light can reflect off multiple grains in
dry soil but when wet, water coats the grains and light is internally reflected and absorbed
reducing reflectance in visible and NIR. Soils are also darker in the far infrared where
water absorption is strong as explored in the vegetation section above.
B) Water: Longer wavelength visible and near infrared radiation is absorbed more by water
than shorter visible wavelengths. Thus water typically looks blue or blue-green due to
stronger reflectance at these shorter wavelengths, and darker if viewed at red or near infrared
wavelengths.
C) Snow: Snow reflects nearly all the yellow-green light from the sun, as do many bright
objects. Yet, the porous, white crystals also absorb mid-infrared wavelengths of light (light to
the right of red on the color spectrum).
D) Cloud: The material is opaque to incident Radiation a portion of EMR is converted to
heat (reradiated).
E) Vegetation: A chemical compound in leaves called chlorophyll strongly absorbs radiation
in the red and blue wavelengths but reflects green wavelengths.
12. Digital Image
Definition: A digital image is an image composed of picture elements, also known as
pixels, each with finite, discrete quantities of numeric representation for its intensity or gray
level that is an output from its two-dimensional functions fed as input by its spatial
coordinates denoted with x, y on the x-axis and y-axis, respectively. Depending on whether
the image resolution is fixed, it may be of vector or raster type. By itself, the term "digital
image" usually refers to raster images or bitmapped images (as opposed to vector images)
Characteristics.
Types of Digital Image:
1) Binary Image
2) Monospectral Image
3) Multispectral Image
4) Multi-Dimentional Image
5) Colour Image
Merits:
Demerits:
13. Satellite Imagery
Definition: Satellite imagery (also Earth observation imagery, spaceborne photography, or
simply satellite photo) are images of Earth collected by imaging satellites operated by
governments and businesses around the world. Satellite imaging companies sell images by
licensing them to governments and businesses such as Apple Maps and Google Maps. It
should not be confused for astronomy images collected by space telescope.
Types of Digital Image:
A) On the basis of Wave length
1) Visible and Reflected Infrared Image
2) Thermal Infrared Image
3) Microwave Image
B) On the basis of Source of Energy
1) Passive Remote Sensing Image
2) Active Remote Sensing Image
Segments of Satellite Imagery:
i) Space Segments
ii) Sensor System
iii) Ground Segments
Advantages:
1. Sympatic View
2. Revisable
3. Multipurpose
Disadvantages:
14. ##Spectral Signature/Spectral Reflectance: Spectral signature is the variation of
reflectance or emittance of a material with respect to wavelengths (i.e., reflectance/emittance
as a function of wavelength). The spectral signature of stars indicates the composition of the
stellar atmosphere. The spectral signature of an object is a function of the incidental EM
wavelength and material interaction with that section of the electromagnetic spectrum.
##Spectral Signature Curve: When Spectral Signature represent as a curve that called
Spectral Signature Curve.
**Spectral Library
15. Satellite
Definition: Satellite is an object that has been intentionally placed into orbit. These objects
are called artificial satellites to distinguish them from natural satellites such as Earth's Moon.
Characteristics: Characteristics
Types:
A) Natural Satellite: A natural satellite, or moon, is, in the most common usage, an
astronomical body that orbits a planet or minor planet (or sometimes another small Solar
System body).
B) Artificial Satellite: In the context of spaceflight, a satellite is an object that has
been intentionally placed into orbit. These objects are called artificial satellites to distinguish
them from natural satellites such as Earth's Moon.
1. Geostationary Satellite
2. Sun-Synchonous Satellite
16. Source of Energy
Definition: Many sources of electromagnetic radiation come from man-made technology. On
the other side of the spectrum, we have ultraviolet radiation, which is emitted by black lights
and fluorescent lamps. Of course, the main source of UV rays is the sun, which is also a
major source of X-rays.
Types of Energy Source:
A) Natural Source: The Sun is a common source of electromagnetic energy. It
radiates solar energy in all directions. Earth reflects the energy from the sun and emits some
energy in the form of heat.
b) Artificial Source: That provides its own source of electromagnetic energy. An active radar
sensor, whether airborne or spaceborne, emits microwave radiation in a series of pulses from
an antenna.
17. Sensor and Its Function
Definition: The sensor detects and measures the radiation that is reflected or backscattered
from the target.
Types of Sensor:
A) Image Forming Sensor
1. Active Sensor
2. Passive Sensor
B) Non-image Forming Sensor
18. Satellite Platform
Definition: Remote sensing means acquiring and measuring information about an object
or phenomenon via a device that is not in physical or direct contact with what is being
studied (Colwell, 1983).To collect remotely sensed data, a platform – an instrument that
carries a remote sensing sensor – is deployed. From the mid 1800’s to the early 1900’s,
various platforms such as balloons, kites, and pigeons carried mounted cameras to collect
visual data of the world below. Today, aircraft (both manned and unmanned) and satellites
collect the majority of remotely sensed data. The sensors typically deployed on these
platforms include film and digital cameras, light-detection and ranging (LiDAR) systems,
synthetic aperture radar (SAR) systems, and multi-spectral and hyper-spectral scanners.
Many of these instruments can be mounted on land-based platforms, such as vans, trucks,
tractors, and tanks. In this chapter, we will explore the different types of platforms and
their resulting remote sensing applications.
Types of Platform:
A. Ground Based Platform (on the Ground)
B. Air Based Platform (0-160KM)
C. Aeroplane & Helicopter
D. Space Based Platform (>160km)
19. Concept of Resolution
Definition: The resolution of remote sensed raster data can be characterized in
several different ways. It is nearly impossible to acquire imagery that has high
spatial, spectral, radiometric and temporal resolution. This is known as
Resolution Trade-off, as it is difficult and expensive to obtain imagery with
extremely high resolution. Therefore it is necessary to identify which types of
resolution are most important for a project.
Types of Resolution:
A) Spatial Resolution
B) Spectral Resolution
C) Temporal Resolution
D) Radiometric Resolution