SlideShare uma empresa Scribd logo
1 de 6
Baixar para ler offline
Data Acquisition: Platforms


Platforms

Platforms refer to the structures or vehicles on which remote sensing
instruments are mounted. The platform on which a particular sensor is
housed determines a number of attributes, which may dictate the use
of particular sensors. These attributes include:

              •   distance the sensor is from the object of interest
              •   periodicity of image acquisition
              •   timing of image acquisition and
              •   location and extent of coverage

There are three broad categories of remote sensing platforms: ground
based, airborne, and spaceborne.

   1. Ground based -- A wide variety of ground based platforms are
       used in remote sensing. Some of the more common ones are hand
       held devices, tripods, towers and cranes. Instruments that are
       ground-based are often used to measure the quantity and quality
       of light coming from the sun or for close range characterization
       of objects. For example, to study properties of a single plant or a
       small patch of grass, it would make sense to use a ground based
       instrument.

Laboratory instruments are used almost exclusively for research,
sensor calibration, and quality control. Much of what is learned from
laboratory work is used to understand how remote sensing can be
better utilized to identify different materials. This contributes to the
development of new sensors that improve on existing technologies.

Field instruments are also largely used for research purposes. This
type of remote sensing instrument is often hand-held or mounted on a
tripod or other similar support.



S K Diwakar
Data Acquisition: Platforms


Permanent ground platforms are typically used for monitoring
atmospheric phenomenon although they are also used for long-term
monitoring of terrestrial features.

Towers and cranes are often used to support research projects where
a reasonably stable, long-term platform is necessary. Towers can be
built on site and can be tall enough to project through a forest canopy
so that a range of measurements can be taken from the forest floor,
through the canopy and from above the canopy.

Example:

The BOREAS (BOReal Ecosystem-Atmosphere Study) field experiment
was conducted to gain knowledge about relationships between the
boreal forest and Earth's atmosphere.

   2. Airborne -- Airborne platforms were the sole non-ground-based
       platforms for early remote sensing work. The first aerial images
       were acquired with a camera carried aloft by a balloon in 1859.
       Balloons are rarely used today because they are not very stable
       and the course of flight is not always predictable, although small
       balloons carrying expendable probes are still used for some
       meteorological research.

At present, airplanes are the most common airborne platform. Nearly
the whole spectrum of civilian and military aircraft are used for
remote sensing applications. When altitude and stability requirements
for a sensor are not too demanding, simple, low-cost aircraft can be
used as platforms. However, as requirements for greater instrument
stability or higher altitudes become necessary, more sophisticated
aircraft must be used.




S K Diwakar
Data Acquisition: Platforms


In this section, aircraft are divided into three categories (low, mid,
and high) based on their altitude restrictions.

In general, the higher an aircraft can fly, the more stable a platform it
is, but correspondingly more costly to operate and maintain.

Low altitude aircraft typically fly below altitudes where supplemental
oxygen or pressurization are needed (12,500 feet above sea level).
They are good for acquiring high spatial resolution data limited to a
relatively small area. Included in this class are the common fixed-wing,
propeller driven planes used by private pilots, such as the Cessna 172
or 182, and Piper Cherokee. This class of aircraft is inexpensive to fly
and can be found throughout the world. Some of these airplanes are
specially outfitted for mounting remote sensing instruments in the
underside of the plane, however, many times instruments are simply
hung out the door using simple mounts.

Helicopters are usually used for low altitude applications where the
ability to hover is required. Helicopters are quite expensive to operate
and they are typically used only when needed. Ultra light aircraft are a
class of aircraft that is gaining popularity. The Federal Aviation
Authority (FAA) defines an ultra light as a single seat powered flying
machine that weighs less than 254 pounds, has a top speed of 55 knots
(63 mph), stalls at 24 knots (28 mph) or less and carries no more than
5 gal. of fuel. These small, often portable, aircraft are inexpensive and
are able to take off and land where larger aircraft cannot. They are
limited to flying at lower elevations and at slow speeds. If the demands
of the remote sensing requirement are not too strict, ultra light
aircraft may be a reasonable alternative to larger aircraft.

Mid altitude aircraft have an altitude limit less than 30,000 feet above
sea level. This includes a number of turbo-prop aircraft. Often at
higher altitudes, there is less turbulence so stability is better. This
class of airplane is used when stability is more important and when it is

S K Diwakar
Data Acquisition: Platforms


necessary or desired to acquire imagery from a greater distance than
available from low altitude aircraft. These aircraft can obtain greater
areal coverage more quickly than low altitude platforms. An example of
this class is the C-130 cargo plane and the Cessna C402.

High altitude aircraft can fly at altitudes greater than 30,000 feet
above sea level. This class of airplane is usually powered by jet engines
and is used for specialized tasks, such as atmospheric studies,
research to simulate satellite platforms, and other applications where
a high altitude platform is required. High altitude aircraft are good for
acquiring large areal coverage with typically lower spatial resolutions.

Another class of aircraft that has been in use for many years is
remote control aircraft, or drones. Remotely controlled aircraft are
often used for conditions when it may be too hazardous to fly. They
have been used extensively by the military.

   3. Spaceborne -- The most stable platform aloft is a satellite,
       which is spaceborne. The first remote sensing satellite was
       launched in 1960 for meteorology purposes. Now, over a hundred
       remote sensing satellites have been launched and more are being
       launched every year. The Space Shuttle is a unique spacecraft
       that functions as a remote sensing satellite and can be reused for
       a number of missions.

Satellites can be classified by their orbital geometry and timing. Three
orbits commonly used for remote sensing satellites are geostationary,
equatorial and Sun synchronous. A geostationary satellite has a period
of rotation equal to that of Earth (24 hours) so the satellite always
stays over the same location on Earth. Communications and weather
satellites often use geostationary orbits with many of them located
over the equator. In an equatorial orbit, a satellite circles Earth at a
low inclination (the angle between the orbital plane and the equatorial


S K Diwakar
Data Acquisition: Platforms


plane). The Space Shuttle uses an equatorial orbit with an inclination of
57 degrees.

Sun synchronous satellites have orbits with high inclination angles,
passing nearly over the poles. Orbits are timed so that the satellite
always passes over the equator at the same local sun time. In this way
the satellites maintain the same relative position with the sun for all of
its orbits. Many remote sensing satellites are Sun synchronous which
ensures repeatable sun illumination conditions during specific seasons.
Because a Sun synchronous orbit does not pass directly over the poles,
it is not always possible to acquire data for the extreme Polar Regions.
The frequency at which a satellite sensor can acquire data of the
entire Earth depends on sensor and orbital characteristics. For most
remote sensing satellites the total coverage frequency ranges from
twice a day to once every 16 days.

Another orbital characteristic is altitude. The Space Shuttle has a low
orbital altitude of 300 km whereas other common remote sensing
satellites typically maintain higher orbits ranging from 600 to 1000 km.

Most remote sensing satellites have been designed to transmit data to
ground receiving stations located throughout the world. To receive
data directly from a satellite, the receiving station must have a line of
sight to the satellite. If there are not sufficient designated receiving
stations around the world, any given satellite may not readily get a
direct view to a station, leading to potential problems of data
discontinuity. To work around this problem, data can be temporarily
stored onboard the satellite and then later downloaded upon acquiring
contact with the receiving station. Another alternative is to relay data
through TDRSS (Tracking and Data Relay Satellite System), a network
of geosynchronous (geostationary) communications satellites deployed
to relay data from satellites to ground stations.



S K Diwakar
Data Acquisition: Platforms


The payload for remote sensing satellites can include photographic
systems, electro-optical sensors, and microwave or LiDAR systems. For
applications benefiting from simultaneous coverage by different
sensors, more than one sensing system can be mounted on a single
satellite. In addition to sensor systems, there are often devices for
recording, preprocessing and transmitting the data.




S K Diwakar

Mais conteúdo relacionado

Mais procurados

Multispectral remote sensing
Multispectral remote sensingMultispectral remote sensing
Multispectral remote sensing
Dharmendera Meena
 
Global positioning system (gps)
Global positioning system (gps)Global positioning system (gps)
Global positioning system (gps)
Gokul Saud
 

Mais procurados (20)

Remote sensing concept, history and principles
Remote sensing  concept, history and principlesRemote sensing  concept, history and principles
Remote sensing concept, history and principles
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
 
Remote sensing and gis ppt
Remote sensing and gis pptRemote sensing and gis ppt
Remote sensing and gis ppt
 
Introduction and Application of GIS
Introduction and Application of GISIntroduction and Application of GIS
Introduction and Application of GIS
 
remote sensing
remote sensingremote sensing
remote sensing
 
Remote Sensing Platforms and Sensors
Remote Sensing Platforms and SensorsRemote Sensing Platforms and Sensors
Remote Sensing Platforms and Sensors
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
 
Remote Sensing Platforms and Its types
Remote Sensing Platforms and Its typesRemote Sensing Platforms and Its types
Remote Sensing Platforms and Its types
 
Multispectral remote sensing
Multispectral remote sensingMultispectral remote sensing
Multispectral remote sensing
 
Basic of Remote Sensing
Basic of Remote SensingBasic of Remote Sensing
Basic of Remote Sensing
 
Introduction to Remote Sensing
Introduction to Remote SensingIntroduction to Remote Sensing
Introduction to Remote Sensing
 
Types of aerial photographs
Types of aerial photographsTypes of aerial photographs
Types of aerial photographs
 
Aerial photography.pptx
Aerial photography.pptxAerial photography.pptx
Aerial photography.pptx
 
Global positioning system (gps)
Global positioning system (gps)Global positioning system (gps)
Global positioning system (gps)
 
Remote sensing
Remote sensing Remote sensing
Remote sensing
 
Thermal remote sensing
Thermal remote sensing   Thermal remote sensing
Thermal remote sensing
 
Remote Sensing
Remote Sensing Remote Sensing
Remote Sensing
 

Destaque (9)

Data acquisition system
Data acquisition systemData acquisition system
Data acquisition system
 
Data acquisition system
Data acquisition systemData acquisition system
Data acquisition system
 
Data Acquisition System
Data Acquisition SystemData Acquisition System
Data Acquisition System
 
Data Acquisition System
Data Acquisition SystemData Acquisition System
Data Acquisition System
 
Data Acquisition System
Data Acquisition SystemData Acquisition System
Data Acquisition System
 
Data Acquisition System & Data Logger
Data Acquisition System & Data LoggerData Acquisition System & Data Logger
Data Acquisition System & Data Logger
 
Data Acquisition System and Data loggers
Data Acquisition System and Data loggersData Acquisition System and Data loggers
Data Acquisition System and Data loggers
 
Geographic information system
Geographic information systemGeographic information system
Geographic information system
 
Data acquisition system (DAS)
Data acquisition system (DAS)Data acquisition system (DAS)
Data acquisition system (DAS)
 

Semelhante a Data acquisition Platforms

Aircraft navigation report
Aircraft navigation reportAircraft navigation report
Aircraft navigation report
Romell B. Diona
 
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
ShavnamMehta
 

Semelhante a Data acquisition Platforms (20)

Aeronautical Navigation Systems
Aeronautical Navigation SystemsAeronautical Navigation Systems
Aeronautical Navigation Systems
 
Continuing chapter rs.pptx
Continuing chapter rs.pptxContinuing chapter rs.pptx
Continuing chapter rs.pptx
 
Remote Sensing platforms and types of RS.pptx
Remote Sensing platforms and types of RS.pptxRemote Sensing platforms and types of RS.pptx
Remote Sensing platforms and types of RS.pptx
 
ongc satellite communication
 ongc satellite communication ongc satellite communication
ongc satellite communication
 
Aircraft navigation report
Aircraft navigation reportAircraft navigation report
Aircraft navigation report
 
unmanned aerial vehicle
unmanned aerial vehicleunmanned aerial vehicle
unmanned aerial vehicle
 
unmanned aerial vehicle
unmanned aerial vehicleunmanned aerial vehicle
unmanned aerial vehicle
 
drones-an introduction to design
drones-an introduction to designdrones-an introduction to design
drones-an introduction to design
 
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
 
Altm (1)
Altm (1)Altm (1)
Altm (1)
 
Kannan RS.ppt
Kannan RS.pptKannan RS.ppt
Kannan RS.ppt
 
Space Missions Design and Operations
Space Missions Design and OperationsSpace Missions Design and Operations
Space Missions Design and Operations
 
Meteorological Satellites
Meteorological SatellitesMeteorological Satellites
Meteorological Satellites
 
UAV(unmanned aerial vehicle) and its application
UAV(unmanned aerial vehicle) and its application UAV(unmanned aerial vehicle) and its application
UAV(unmanned aerial vehicle) and its application
 
Remote sensing, GPS and GIS ppt
Remote sensing, GPS and GIS pptRemote sensing, GPS and GIS ppt
Remote sensing, GPS and GIS ppt
 
Remotesensing 04-01671
Remotesensing 04-01671Remotesensing 04-01671
Remotesensing 04-01671
 
Satellite system
Satellite systemSatellite system
Satellite system
 
GPS introduction
GPS introductionGPS introduction
GPS introduction
 
GPS
GPS GPS
GPS
 
GIS FINAL REPORT.pdf
GIS FINAL REPORT.pdfGIS FINAL REPORT.pdf
GIS FINAL REPORT.pdf
 

Mais de Sumant Diwakar

Solar irradiation & spectral signature
Solar irradiation & spectral signatureSolar irradiation & spectral signature
Solar irradiation & spectral signature
Sumant Diwakar
 
Optical remote sensing
Optical remote sensingOptical remote sensing
Optical remote sensing
Sumant Diwakar
 
Interaction of EMR with atmosphere and earth surface
Interaction of EMR with atmosphere and earth surfaceInteraction of EMR with atmosphere and earth surface
Interaction of EMR with atmosphere and earth surface
Sumant Diwakar
 
History of remote sensing
History of remote sensingHistory of remote sensing
History of remote sensing
Sumant Diwakar
 
Electromagnetic radiation
Electromagnetic radiationElectromagnetic radiation
Electromagnetic radiation
Sumant Diwakar
 
Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12
Sumant Diwakar
 
Principle of photogrammetry
Principle of photogrammetryPrinciple of photogrammetry
Principle of photogrammetry
Sumant Diwakar
 
Automatic digital terrain modelling
Automatic digital terrain modellingAutomatic digital terrain modelling
Automatic digital terrain modelling
Sumant Diwakar
 
Aerial photography abraham thomas
Aerial photography abraham thomasAerial photography abraham thomas
Aerial photography abraham thomas
Sumant Diwakar
 
Aerial photographs and their interpretation
Aerial photographs and their interpretationAerial photographs and their interpretation
Aerial photographs and their interpretation
Sumant Diwakar
 

Mais de Sumant Diwakar (20)

Hydrologic Assessment in a Middle Narmada Basin, India using SWAT Model
Hydrologic Assessment in a Middle Narmada Basin, India using SWAT ModelHydrologic Assessment in a Middle Narmada Basin, India using SWAT Model
Hydrologic Assessment in a Middle Narmada Basin, India using SWAT Model
 
C Programming
C ProgrammingC Programming
C Programming
 
C Programming
C ProgrammingC Programming
C Programming
 
Soil moisture
Soil moistureSoil moisture
Soil moisture
 
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
 
Relation between Ground-based Soil Moisture and Satellite Image-based NDVI
Relation between Ground-based Soil Moisture and Satellite Image-based NDVIRelation between Ground-based Soil Moisture and Satellite Image-based NDVI
Relation between Ground-based Soil Moisture and Satellite Image-based NDVI
 
Solar irradiation & spectral signature
Solar irradiation & spectral signatureSolar irradiation & spectral signature
Solar irradiation & spectral signature
 
Optical remote sensing
Optical remote sensingOptical remote sensing
Optical remote sensing
 
Interaction of EMR with atmosphere and earth surface
Interaction of EMR with atmosphere and earth surfaceInteraction of EMR with atmosphere and earth surface
Interaction of EMR with atmosphere and earth surface
 
History of remote sensing
History of remote sensingHistory of remote sensing
History of remote sensing
 
Electromagnetic radiation
Electromagnetic radiationElectromagnetic radiation
Electromagnetic radiation
 
Map projection
Map projectionMap projection
Map projection
 
Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12
 
Principle of photogrammetry
Principle of photogrammetryPrinciple of photogrammetry
Principle of photogrammetry
 
Digital terrain model
Digital terrain modelDigital terrain model
Digital terrain model
 
Digital orthophoto
Digital orthophotoDigital orthophoto
Digital orthophoto
 
Automatic digital terrain modelling
Automatic digital terrain modellingAutomatic digital terrain modelling
Automatic digital terrain modelling
 
Aerial photography abraham thomas
Aerial photography abraham thomasAerial photography abraham thomas
Aerial photography abraham thomas
 
Aerial photographs and their interpretation
Aerial photographs and their interpretationAerial photographs and their interpretation
Aerial photographs and their interpretation
 
Wide field sensor
Wide field sensorWide field sensor
Wide field sensor
 

Último

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
heathfieldcps1
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.
MateoGardella
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
SanaAli374401
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 

Último (20)

Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 

Data acquisition Platforms

  • 1. Data Acquisition: Platforms Platforms Platforms refer to the structures or vehicles on which remote sensing instruments are mounted. The platform on which a particular sensor is housed determines a number of attributes, which may dictate the use of particular sensors. These attributes include: • distance the sensor is from the object of interest • periodicity of image acquisition • timing of image acquisition and • location and extent of coverage There are three broad categories of remote sensing platforms: ground based, airborne, and spaceborne. 1. Ground based -- A wide variety of ground based platforms are used in remote sensing. Some of the more common ones are hand held devices, tripods, towers and cranes. Instruments that are ground-based are often used to measure the quantity and quality of light coming from the sun or for close range characterization of objects. For example, to study properties of a single plant or a small patch of grass, it would make sense to use a ground based instrument. Laboratory instruments are used almost exclusively for research, sensor calibration, and quality control. Much of what is learned from laboratory work is used to understand how remote sensing can be better utilized to identify different materials. This contributes to the development of new sensors that improve on existing technologies. Field instruments are also largely used for research purposes. This type of remote sensing instrument is often hand-held or mounted on a tripod or other similar support. S K Diwakar
  • 2. Data Acquisition: Platforms Permanent ground platforms are typically used for monitoring atmospheric phenomenon although they are also used for long-term monitoring of terrestrial features. Towers and cranes are often used to support research projects where a reasonably stable, long-term platform is necessary. Towers can be built on site and can be tall enough to project through a forest canopy so that a range of measurements can be taken from the forest floor, through the canopy and from above the canopy. Example: The BOREAS (BOReal Ecosystem-Atmosphere Study) field experiment was conducted to gain knowledge about relationships between the boreal forest and Earth's atmosphere. 2. Airborne -- Airborne platforms were the sole non-ground-based platforms for early remote sensing work. The first aerial images were acquired with a camera carried aloft by a balloon in 1859. Balloons are rarely used today because they are not very stable and the course of flight is not always predictable, although small balloons carrying expendable probes are still used for some meteorological research. At present, airplanes are the most common airborne platform. Nearly the whole spectrum of civilian and military aircraft are used for remote sensing applications. When altitude and stability requirements for a sensor are not too demanding, simple, low-cost aircraft can be used as platforms. However, as requirements for greater instrument stability or higher altitudes become necessary, more sophisticated aircraft must be used. S K Diwakar
  • 3. Data Acquisition: Platforms In this section, aircraft are divided into three categories (low, mid, and high) based on their altitude restrictions. In general, the higher an aircraft can fly, the more stable a platform it is, but correspondingly more costly to operate and maintain. Low altitude aircraft typically fly below altitudes where supplemental oxygen or pressurization are needed (12,500 feet above sea level). They are good for acquiring high spatial resolution data limited to a relatively small area. Included in this class are the common fixed-wing, propeller driven planes used by private pilots, such as the Cessna 172 or 182, and Piper Cherokee. This class of aircraft is inexpensive to fly and can be found throughout the world. Some of these airplanes are specially outfitted for mounting remote sensing instruments in the underside of the plane, however, many times instruments are simply hung out the door using simple mounts. Helicopters are usually used for low altitude applications where the ability to hover is required. Helicopters are quite expensive to operate and they are typically used only when needed. Ultra light aircraft are a class of aircraft that is gaining popularity. The Federal Aviation Authority (FAA) defines an ultra light as a single seat powered flying machine that weighs less than 254 pounds, has a top speed of 55 knots (63 mph), stalls at 24 knots (28 mph) or less and carries no more than 5 gal. of fuel. These small, often portable, aircraft are inexpensive and are able to take off and land where larger aircraft cannot. They are limited to flying at lower elevations and at slow speeds. If the demands of the remote sensing requirement are not too strict, ultra light aircraft may be a reasonable alternative to larger aircraft. Mid altitude aircraft have an altitude limit less than 30,000 feet above sea level. This includes a number of turbo-prop aircraft. Often at higher altitudes, there is less turbulence so stability is better. This class of airplane is used when stability is more important and when it is S K Diwakar
  • 4. Data Acquisition: Platforms necessary or desired to acquire imagery from a greater distance than available from low altitude aircraft. These aircraft can obtain greater areal coverage more quickly than low altitude platforms. An example of this class is the C-130 cargo plane and the Cessna C402. High altitude aircraft can fly at altitudes greater than 30,000 feet above sea level. This class of airplane is usually powered by jet engines and is used for specialized tasks, such as atmospheric studies, research to simulate satellite platforms, and other applications where a high altitude platform is required. High altitude aircraft are good for acquiring large areal coverage with typically lower spatial resolutions. Another class of aircraft that has been in use for many years is remote control aircraft, or drones. Remotely controlled aircraft are often used for conditions when it may be too hazardous to fly. They have been used extensively by the military. 3. Spaceborne -- The most stable platform aloft is a satellite, which is spaceborne. The first remote sensing satellite was launched in 1960 for meteorology purposes. Now, over a hundred remote sensing satellites have been launched and more are being launched every year. The Space Shuttle is a unique spacecraft that functions as a remote sensing satellite and can be reused for a number of missions. Satellites can be classified by their orbital geometry and timing. Three orbits commonly used for remote sensing satellites are geostationary, equatorial and Sun synchronous. A geostationary satellite has a period of rotation equal to that of Earth (24 hours) so the satellite always stays over the same location on Earth. Communications and weather satellites often use geostationary orbits with many of them located over the equator. In an equatorial orbit, a satellite circles Earth at a low inclination (the angle between the orbital plane and the equatorial S K Diwakar
  • 5. Data Acquisition: Platforms plane). The Space Shuttle uses an equatorial orbit with an inclination of 57 degrees. Sun synchronous satellites have orbits with high inclination angles, passing nearly over the poles. Orbits are timed so that the satellite always passes over the equator at the same local sun time. In this way the satellites maintain the same relative position with the sun for all of its orbits. Many remote sensing satellites are Sun synchronous which ensures repeatable sun illumination conditions during specific seasons. Because a Sun synchronous orbit does not pass directly over the poles, it is not always possible to acquire data for the extreme Polar Regions. The frequency at which a satellite sensor can acquire data of the entire Earth depends on sensor and orbital characteristics. For most remote sensing satellites the total coverage frequency ranges from twice a day to once every 16 days. Another orbital characteristic is altitude. The Space Shuttle has a low orbital altitude of 300 km whereas other common remote sensing satellites typically maintain higher orbits ranging from 600 to 1000 km. Most remote sensing satellites have been designed to transmit data to ground receiving stations located throughout the world. To receive data directly from a satellite, the receiving station must have a line of sight to the satellite. If there are not sufficient designated receiving stations around the world, any given satellite may not readily get a direct view to a station, leading to potential problems of data discontinuity. To work around this problem, data can be temporarily stored onboard the satellite and then later downloaded upon acquiring contact with the receiving station. Another alternative is to relay data through TDRSS (Tracking and Data Relay Satellite System), a network of geosynchronous (geostationary) communications satellites deployed to relay data from satellites to ground stations. S K Diwakar
  • 6. Data Acquisition: Platforms The payload for remote sensing satellites can include photographic systems, electro-optical sensors, and microwave or LiDAR systems. For applications benefiting from simultaneous coverage by different sensors, more than one sensing system can be mounted on a single satellite. In addition to sensor systems, there are often devices for recording, preprocessing and transmitting the data. S K Diwakar