This document discusses several remote sensing platforms and satellites used for earth observation. It provides information on satellites such as Landsat, SPOT, Ikonos, RADARSAT, as well as international observation programs from agencies such as ESA, ISRO, and JAXA. The document outlines technical specifications including sensors, spectral bands, spatial resolutions, orbits, and coverage areas of the different systems.
This document provides information on various remote sensing platforms and Earth observing satellites. It discusses balloons, helicopters, airplanes and satellites as remote sensing platforms. It then describes different types of satellite orbits and provides details on several major Earth observing satellites including their sensors and specifications. These satellites include Landsat, SPOT, Ikonos, AVHRR, Radarsat, GOES, Meteosat, and some Indian, Japanese, European and Russian satellites.
Types of satellite metrological & resource satellitesManish Kothe
The document discusses different types of satellites used for remote sensing including earth resource satellites, Landsat series satellites, SPOT satellites, Indian remote sensing satellites, IKONOS, meteorological/weather satellites like NOAA and GOES, and Indian national satellites like INSAT. It provides details on the sensors, spectral and spatial resolution, swath width, orbital altitude, and launch period of these various satellite systems used for monitoring earth's resources, weather, environment and climate.
Scanners, image resolution, orbit in remote sensing, pk maniP.K. Mani
This document provides information about different types of satellite orbits and sensors. It discusses polar orbits, geostationary orbits, and examples of weather satellites like METEOSAT, NOAA, and GOES that use these orbit types. It also describes imaging sensors on these satellites and their specifications. Sensors on other platforms like Landsat, SPOT, ERS, and Radarsat are outlined along with their characteristics and applications. Scanning techniques for collecting multispectral data like across-track and along-track scanning are defined.
Indian Satellite Program (2001-2020)
India has developed an extensive satellite program over the past two decades focused on earth observation, communication, space science, and navigation. Key satellites include resources satellites to monitor land and water resources, radar satellites like RISAT for all-weather imaging, Cartosat satellites for mapping applications, Oceansat for ocean and atmospheric monitoring, space science satellites like Chandrayaan and Astrosat, and navigation satellites. The program is led by ISRO and has supported applications in agriculture, disaster management, and development planning.
The purpose of choosing this topic is to aware you about sentinel satellites that leads to new discoveries and ultimately changes the arena of Remote Sensing.
This document provides an overview of ocean monitoring satellites operated by ISRO. It discusses Oceansat-1, launched in 1999, and Oceansat-2, launched in 2009. Both satellites carry instruments to monitor ocean color, wind speed, sea surface temperature, and other metrics. Oceansat-3 is planned for 2012-13 to continue these ocean observations. Data from the Oceansat satellites are used for applications like fisheries monitoring, cyclone forecasting, climate research, and assessing water quality.
The document summarizes India's Earth observation programme. It discusses successful launches of satellites like INSAT-3DR, PSLV-C34 carrying 20 satellites, and PSLV rockets carrying IRNSS satellites. Currently operational missions include Oceansat-2, RISAT-1, Resourcesat-2 for applications like weather, climate, oceanography. Future missions through 2020 include Cartosat-2E, GISAT-1, RISAT-1A, Oceansat-3 for cartography, disaster management and ocean applications. It also discusses data and services provided by MOSDAC for meteorology, oceanography, cyclone tracking, and intense rainfall monitoring. Land based applications through V
This document provides information on various remote sensing platforms and Earth observing satellites. It discusses balloons, helicopters, airplanes and satellites as remote sensing platforms. It then describes different types of satellite orbits and provides details on several major Earth observing satellites including their sensors and specifications. These satellites include Landsat, SPOT, Ikonos, AVHRR, Radarsat, GOES, Meteosat, and some Indian, Japanese, European and Russian satellites.
Types of satellite metrological & resource satellitesManish Kothe
The document discusses different types of satellites used for remote sensing including earth resource satellites, Landsat series satellites, SPOT satellites, Indian remote sensing satellites, IKONOS, meteorological/weather satellites like NOAA and GOES, and Indian national satellites like INSAT. It provides details on the sensors, spectral and spatial resolution, swath width, orbital altitude, and launch period of these various satellite systems used for monitoring earth's resources, weather, environment and climate.
Scanners, image resolution, orbit in remote sensing, pk maniP.K. Mani
This document provides information about different types of satellite orbits and sensors. It discusses polar orbits, geostationary orbits, and examples of weather satellites like METEOSAT, NOAA, and GOES that use these orbit types. It also describes imaging sensors on these satellites and their specifications. Sensors on other platforms like Landsat, SPOT, ERS, and Radarsat are outlined along with their characteristics and applications. Scanning techniques for collecting multispectral data like across-track and along-track scanning are defined.
Indian Satellite Program (2001-2020)
India has developed an extensive satellite program over the past two decades focused on earth observation, communication, space science, and navigation. Key satellites include resources satellites to monitor land and water resources, radar satellites like RISAT for all-weather imaging, Cartosat satellites for mapping applications, Oceansat for ocean and atmospheric monitoring, space science satellites like Chandrayaan and Astrosat, and navigation satellites. The program is led by ISRO and has supported applications in agriculture, disaster management, and development planning.
The purpose of choosing this topic is to aware you about sentinel satellites that leads to new discoveries and ultimately changes the arena of Remote Sensing.
This document provides an overview of ocean monitoring satellites operated by ISRO. It discusses Oceansat-1, launched in 1999, and Oceansat-2, launched in 2009. Both satellites carry instruments to monitor ocean color, wind speed, sea surface temperature, and other metrics. Oceansat-3 is planned for 2012-13 to continue these ocean observations. Data from the Oceansat satellites are used for applications like fisheries monitoring, cyclone forecasting, climate research, and assessing water quality.
The document summarizes India's Earth observation programme. It discusses successful launches of satellites like INSAT-3DR, PSLV-C34 carrying 20 satellites, and PSLV rockets carrying IRNSS satellites. Currently operational missions include Oceansat-2, RISAT-1, Resourcesat-2 for applications like weather, climate, oceanography. Future missions through 2020 include Cartosat-2E, GISAT-1, RISAT-1A, Oceansat-3 for cartography, disaster management and ocean applications. It also discusses data and services provided by MOSDAC for meteorology, oceanography, cyclone tracking, and intense rainfall monitoring. Land based applications through V
Landsat satellites have been collecting images of Earth's surface for over 30 years, with the first launched in 1972 and most recent in 1999. Instruments onboard have acquired millions of images providing a unique resource for agriculture, geology, forestry, planning, education, mapping, and climate change research. TIROS was NASA's first step to determine if satellites could study Earth, proving weather forecasting from space. AVHRR on NOAA satellites provides global coverage since 1979 in visible, near-infrared, and thermal bands at 1.1km resolution for environmental monitoring.
Landsat was designed in the 1960s by NASA and the US to observe Earth's land areas from space. Seven Landsat satellites have been launched since 1972, each carrying improved sensors to gather data on land use and changes over time. Landsat provides multispectral imagery at periodic intervals to support applications like agriculture, geology and environmental monitoring.
This document discusses remote sensing satellites and geo-imaging. It begins by describing different types of satellite orbits - LEO, MEO, and GEO. It then discusses remote sensing satellites and their applications in areas like agriculture, forestry, urban planning and more. Challenges in geo-imaging are also covered, such as the need for more powerful cameras to achieve high resolution from GEO orbits. Current and future Indian remote sensing satellite missions are outlined, including Cartosat-2 series, GISAT-1, a proposed first geo-imaging satellite, and future advanced geo-imaging satellites. Suggestions are made to develop advanced optical systems, detectors and sensors to meet increasing demands.
A GEO satellite’s distance from earth gives it a large coverage area, almost a fourth of the earth’s surface and also have 24 hour view of a particular area.This will be very helpful to army,navy etc.,These factors make it ideal for satellite broadcast and other multipoint applications.Continuous monitoring is done and also cost effective in long term, risk-less.
The document summarizes the Landsat satellite program, which has collected continuous land surface data since 1972. It describes the sensors on each Landsat satellite from 1-8, noting improvements over time like increased bands, resolution, and data quality. Landsat provides the longest publicly available land record in the world, with all data now available free online at the USGS.
The document discusses different types of remote sensing scanners. It describes multispectral scanners, thematic mappers, thermal scanners, and hyperspectral scanners. Multispectral scanners collect data in multiple wavelength bands using either across-track or along-track scanning. Thematic mappers were developed to improve upon multispectral scanners. Thermal scanners sense the thermal infrared wavelength range. Hyperspectral scanners record over 100 contiguous spectral bands to generate a continuous reflectance spectrum for each pixel.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and resolutions including spatial, spectral, temporal, and radiometric and how they provide information.
4. Common applications of remote sensing like land use mapping, change detection, environmental monitoring, and more.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and data products including satellites, spectral resolution, spatial resolution, temporal resolution, and applications like land cover mapping.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and data products including satellites, spectral resolution, spatial resolution, temporal resolution, and applications like land cover mapping.
The document describes several types of satellite imagery including SPOT, Landsat, and IKONOS. SPOT satellites provide panchromatic and multispectral imagery at 10m and 20m resolution respectively. Landsat satellites have provided MSS and TM sensors, with TM offering improved resolution and additional bands. Landsat 7 uses an ETM+ sensor with bands from 15-60m resolution. IKONOS provides very high resolution 1m panchromatic and 4m multispectral imagery.
Satellite sensors capture reflected electromagnetic radiation from Earth's surface features in different spectral bands. The reflectance values are converted to digital numbers representing pixel values. As the satellite moves forward, the sensors take snapshots called instantaneous fields of view of the surface. Each satellite system has limitations in spectral, spatial, temporal and radiometric resolution. Landsat and SPOT satellites are described in terms of their sensor systems and characteristics.
IKONOS was the first satellite to collect publicly available high-resolution commercial imagery at 1-4 meter resolution. It was successfully launched in 1999 after an initial failed launch, carrying multispectral and panchromatic sensors. IKONOS provides high-quality imagery for applications such as mapping, change detection, and analysis, with sub-meter panchromatic and 4 meter multispectral resolution across a 11km swath. It established the standard for commercial high-resolution satellite imagery.
This ppt is about the basic information about Remote Sensing and GIS and their Apps. in Environmental Management (Prepared by Mandeep Poonia at GJU S&T, Hisar (Haryana) ,India)
Indian Remote Sensing satellites (IRS) are a series of Earth observation satellites built and operated by the Indian Space Research Organisation to provide remote sensing services. With twelve satellites currently in operation, IRS has the largest civilian remote sensing constellation providing imagery with various spatial resolutions and spectral bands. The satellite data is used for applications like agriculture, urban development, disaster management, and more. Key satellites discussed include IRS-1A, IRS-1B, IRS-1C, RISAT-1, Resourcesat-2, and Cartosat-2B.
Envisat was a large Earth observation satellite launched by the European Space Agency in 2002. It carried 10 instruments to observe the land, oceans, ice, and atmosphere. Envisat had a sun-synchronous polar orbit at an altitude of 790 km, with an orbital period of 101 minutes and a repeat cycle of 35 days. It was designed for a 5 year mission but operated for over 10 years, until contact was lost in 2012. Envisat's observations were used to study topics like atmospheric chemistry, ocean temperatures, winds, hydrology, agriculture, natural hazards, and more.
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013Leonardo
This document discusses the evolution of Earth observation systems from early missions like ERS-1 and ENVISAT to current and future systems like Copernicus Sentinel-1 and COSMO-SkyMed. It outlines key missions from 1991 to present and describes technologies and capabilities of new radar satellites including Sentinel-1, which provides global coverage every 12 days, and COSMO-SkyMed, which uses synthetic aperture radar for applications like monitoring flooding, pollution, and landslides. The document also discusses future directions including digital beamforming, dual-antenna interferometry, and developing sub-meter resolution multimode SAR instruments.
GPS uses a constellation of 24 satellites that continuously transmit positioning and timing data to receivers on Earth. Receivers use this data to calculate their latitude, longitude, altitude and velocity. The system originated from early satellite systems developed during the Cold War. GPS provides positioning accuracy of around 22 meters horizontally and 27 meters vertically for precise civilian use. It has many applications including navigation, mapping, timing and tracking of people and assets.
This document discusses digital image processing for remote sensing. It begins by defining a digital image as a discretized representation of the real world with light energy quantized to finite levels. It then describes the digitization process which involves sampling, quantization, and encoding. Sampling involves dividing the image area into a grid of cells called pixels. Quantization converts light energy to digital signals using an analog-to-digital converter (ADC) that assigns numeric values. Encoding represents the quantized values in binary. Digital image processing is useful for remote sensing as it allows flexibility, standardization, handling large data volumes, and removing distortions compared to human analysis.
The document discusses various remote sensing platforms and Earth observing satellites. It provides information on the characteristics and sensors of satellites operated by different space agencies including Landsat, SPOT, Ikonos, GOES, Meteosat, RADARSAT, IRS series from India, JERS-1 and ADEOS from Japan, and ESA satellites. The document contains detailed tables summarizing the technical specifications of these satellites and their instruments.
Landsat satellites have been collecting images of Earth's surface for over 30 years, with the first launched in 1972 and most recent in 1999. Instruments onboard have acquired millions of images providing a unique resource for agriculture, geology, forestry, planning, education, mapping, and climate change research. TIROS was NASA's first step to determine if satellites could study Earth, proving weather forecasting from space. AVHRR on NOAA satellites provides global coverage since 1979 in visible, near-infrared, and thermal bands at 1.1km resolution for environmental monitoring.
Landsat was designed in the 1960s by NASA and the US to observe Earth's land areas from space. Seven Landsat satellites have been launched since 1972, each carrying improved sensors to gather data on land use and changes over time. Landsat provides multispectral imagery at periodic intervals to support applications like agriculture, geology and environmental monitoring.
This document discusses remote sensing satellites and geo-imaging. It begins by describing different types of satellite orbits - LEO, MEO, and GEO. It then discusses remote sensing satellites and their applications in areas like agriculture, forestry, urban planning and more. Challenges in geo-imaging are also covered, such as the need for more powerful cameras to achieve high resolution from GEO orbits. Current and future Indian remote sensing satellite missions are outlined, including Cartosat-2 series, GISAT-1, a proposed first geo-imaging satellite, and future advanced geo-imaging satellites. Suggestions are made to develop advanced optical systems, detectors and sensors to meet increasing demands.
A GEO satellite’s distance from earth gives it a large coverage area, almost a fourth of the earth’s surface and also have 24 hour view of a particular area.This will be very helpful to army,navy etc.,These factors make it ideal for satellite broadcast and other multipoint applications.Continuous monitoring is done and also cost effective in long term, risk-less.
The document summarizes the Landsat satellite program, which has collected continuous land surface data since 1972. It describes the sensors on each Landsat satellite from 1-8, noting improvements over time like increased bands, resolution, and data quality. Landsat provides the longest publicly available land record in the world, with all data now available free online at the USGS.
The document discusses different types of remote sensing scanners. It describes multispectral scanners, thematic mappers, thermal scanners, and hyperspectral scanners. Multispectral scanners collect data in multiple wavelength bands using either across-track or along-track scanning. Thematic mappers were developed to improve upon multispectral scanners. Thermal scanners sense the thermal infrared wavelength range. Hyperspectral scanners record over 100 contiguous spectral bands to generate a continuous reflectance spectrum for each pixel.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and resolutions including spatial, spectral, temporal, and radiometric and how they provide information.
4. Common applications of remote sensing like land use mapping, change detection, environmental monitoring, and more.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and data products including satellites, spectral resolution, spatial resolution, temporal resolution, and applications like land cover mapping.
This document provides an overview of remote sensing including:
1. The history of remote sensing from early aerial photography to modern satellite systems.
2. The principles of electromagnetic radiation and how different sensors capture radiation in various parts of the spectrum to analyze objects.
3. The various types of remote sensing platforms, sensors, and data products including satellites, spectral resolution, spatial resolution, temporal resolution, and applications like land cover mapping.
The document describes several types of satellite imagery including SPOT, Landsat, and IKONOS. SPOT satellites provide panchromatic and multispectral imagery at 10m and 20m resolution respectively. Landsat satellites have provided MSS and TM sensors, with TM offering improved resolution and additional bands. Landsat 7 uses an ETM+ sensor with bands from 15-60m resolution. IKONOS provides very high resolution 1m panchromatic and 4m multispectral imagery.
Satellite sensors capture reflected electromagnetic radiation from Earth's surface features in different spectral bands. The reflectance values are converted to digital numbers representing pixel values. As the satellite moves forward, the sensors take snapshots called instantaneous fields of view of the surface. Each satellite system has limitations in spectral, spatial, temporal and radiometric resolution. Landsat and SPOT satellites are described in terms of their sensor systems and characteristics.
IKONOS was the first satellite to collect publicly available high-resolution commercial imagery at 1-4 meter resolution. It was successfully launched in 1999 after an initial failed launch, carrying multispectral and panchromatic sensors. IKONOS provides high-quality imagery for applications such as mapping, change detection, and analysis, with sub-meter panchromatic and 4 meter multispectral resolution across a 11km swath. It established the standard for commercial high-resolution satellite imagery.
This ppt is about the basic information about Remote Sensing and GIS and their Apps. in Environmental Management (Prepared by Mandeep Poonia at GJU S&T, Hisar (Haryana) ,India)
Indian Remote Sensing satellites (IRS) are a series of Earth observation satellites built and operated by the Indian Space Research Organisation to provide remote sensing services. With twelve satellites currently in operation, IRS has the largest civilian remote sensing constellation providing imagery with various spatial resolutions and spectral bands. The satellite data is used for applications like agriculture, urban development, disaster management, and more. Key satellites discussed include IRS-1A, IRS-1B, IRS-1C, RISAT-1, Resourcesat-2, and Cartosat-2B.
Envisat was a large Earth observation satellite launched by the European Space Agency in 2002. It carried 10 instruments to observe the land, oceans, ice, and atmosphere. Envisat had a sun-synchronous polar orbit at an altitude of 790 km, with an orbital period of 101 minutes and a repeat cycle of 35 days. It was designed for a 5 year mission but operated for over 10 years, until contact was lost in 2012. Envisat's observations were used to study topics like atmospheric chemistry, ocean temperatures, winds, hydrology, agriculture, natural hazards, and more.
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013Leonardo
This document discusses the evolution of Earth observation systems from early missions like ERS-1 and ENVISAT to current and future systems like Copernicus Sentinel-1 and COSMO-SkyMed. It outlines key missions from 1991 to present and describes technologies and capabilities of new radar satellites including Sentinel-1, which provides global coverage every 12 days, and COSMO-SkyMed, which uses synthetic aperture radar for applications like monitoring flooding, pollution, and landslides. The document also discusses future directions including digital beamforming, dual-antenna interferometry, and developing sub-meter resolution multimode SAR instruments.
GPS uses a constellation of 24 satellites that continuously transmit positioning and timing data to receivers on Earth. Receivers use this data to calculate their latitude, longitude, altitude and velocity. The system originated from early satellite systems developed during the Cold War. GPS provides positioning accuracy of around 22 meters horizontally and 27 meters vertically for precise civilian use. It has many applications including navigation, mapping, timing and tracking of people and assets.
This document discusses digital image processing for remote sensing. It begins by defining a digital image as a discretized representation of the real world with light energy quantized to finite levels. It then describes the digitization process which involves sampling, quantization, and encoding. Sampling involves dividing the image area into a grid of cells called pixels. Quantization converts light energy to digital signals using an analog-to-digital converter (ADC) that assigns numeric values. Encoding represents the quantized values in binary. Digital image processing is useful for remote sensing as it allows flexibility, standardization, handling large data volumes, and removing distortions compared to human analysis.
The document discusses various remote sensing platforms and Earth observing satellites. It provides information on the characteristics and sensors of satellites operated by different space agencies including Landsat, SPOT, Ikonos, GOES, Meteosat, RADARSAT, IRS series from India, JERS-1 and ADEOS from Japan, and ESA satellites. The document contains detailed tables summarizing the technical specifications of these satellites and their instruments.
Plane table surveying is a method used to produce maps and site plans. It involves using a plane table, which is a flat table that can rotate horizontally, along with other surveying equipment to determine positions, directions, and distances to fixed points. The document appears to be about plane table surveying techniques used in civil engineering projects.
The document discusses stereoscopic parallax in aerial photographs. Stereoscopic parallax allows for 3D viewing of the Earth's surface using overlapping vertical aerial photo pairs. The displacement of features between left and right images provides depth perception due to differences in camera position from the 6-7cm eye base. Orthophotographs are geometrically corrected aerial photos that remove lens distortion and camera tilt, making measurements and feature locations uniform throughout the image by accounting for topographic relief. This allows orthophotos to have the visual attributes of photos and the spatial accuracy of maps.
The document discusses the process of creating a digital elevation model (DEM) through photogrammetry, which involves processing overlapping aerial or satellite images into a stereo pair, establishing ground control points, and extracting terrain data to generate an orthorectified DEM and orthophotos through steps like interior and exterior orientation. Key inputs include stereo image pairs, ground control points, and sensor specifications, while the desired outputs are an accurate georeferenced DEM and orthophotos within specified accuracy standards.
The document summarizes Revised Bloom's Taxonomy, which categorizes educational objectives along two dimensions: cognitive process and knowledge. The cognitive process dimension involves six categories of increasing complexity - remember, understand, apply, analyze, evaluate, and create. The knowledge dimension ranges from concrete to abstract and includes factual, conceptual, procedural, and metacognitive knowledge. Objectives specify a cognitive process verb and knowledge noun. The taxonomy is useful for classifying objectives and designing assessments.
The document provides an overview of effective teaching and classroom management techniques. It discusses instructional objectives, the basic teaching model of entering behavior, instructional procedures, and exit behavior. It also covers planning lessons, questioning techniques, and maintaining an effective classroom climate and management. The document is a presentation on establishing instructional objectives, designing effective lessons, and ensuring student participation and behavior management.
This document provides an overview of surveying concepts including definitions, types of surveying based on methods and instruments, classifications, scales, and fundamental principles. It discusses plain surveying versus geodetic surveying and covers topics like triangulation, traversing, leveling, types of scales, and preparation of plans and maps. The key information presented includes classifications of surveying based on instruments, methods, purpose and nature of the field. Objectives and uses of surveying are also summarized.
This document provides an overview of theodolites and their use in surveying. It discusses how theodolites are used to measure both horizontal and vertical angles. A theodolite is an instrument designed specifically for angular measurement and is one of the most versatile survey equipment. Modern theodolites can measure angles to within 0.1 seconds of arc. The document describes the basic components of an optical theodolite, including the tribrach, horizontal and vertical circles, telescope, and methods for setting up and using a theodolite to obtain angle measurements.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
10. Launch Date September 24, 1999
Launch Vehicle Athena II
Launch Vehicle Manufacturer Lockheed Martin
Ground resolution
1-meter panchromatic (nominal at <26deg off nadir)
4-meter multi-spectral (nominal at <26deg off nadir)
The ground processing software has the capability to rapidly process and mosaic imagery so as to
create seamless image products with a consistent pixel ground sample distance (GSD).
Imagery Spectral Response
Panchromatic: 0.45 - 0.90 microns
Multispectral: #1: Blue 0.45 - 0.52 #2: Green 0.52 – 0.60
#3: Red 0.63 - 0.69 #4: Near IR 0.76 - 0.90
(same as Landsat 4&5 TM Bands #1-4)
Nominal Swath Width 11 km at nadir
Areas of Interest a nominal single image at 13 km x13 km
strips of 11km x 100 km up to 11 km x 1000 km
image mosaics of up to 12,000 sq. km.
up to two 10,000 square kilometer contiguous areas in a single pass within a region
Metric Accuracy 12-meter horizontal and 10-meter vertical accuracy with no ground control
2-meter horizontal and 3-meter vertical accuracy with ground control
These are specified as 90% CE (circular error) for the horizontal and 90% LE (linear error) for the
vertical
Orbital Information
Altitude 423 miles / 681 Inclination 98.1 degrees
Speed 4 miles per second / 7 kilometers per second
Revisit Frequency
2.9 days at 1-meter resolution;
1.5 days at 1.5-meter resolution
Orbit time 98 minutes Orbit type sun-synchronous
IKONOS Specifications
11. Vienna, Austria (full) April 2000
Vienna, Austria (enlargement)
One-meter pan-sharpened image
of Vienna, Austria. Shown here
are the Imperial Palace and gardens.
This imagery is useful for trans
-portation network monitoring,
tourism, real estate and other applications
IKONOS
12. GOES
(Geostationary Operational Environmental Satellites)
• The GOES series of satellites is the primary weather
observation platform for the United States.
• The latest generation, GOES I-M, represent an advance in
data products for weather forecasting and storm warnings
over the previous series of geostationary satellites.
• GOES I-M is a 3-axis stabilized system vs. the older spin-
scan system, providing more accurate geo-location of earth
images.
13. METEOSAT
• Europe's geostationary weather observation satellite
• Meteosat was launched in November 1993.
• The 4 channel, 3-spectral-band high resolution radiometer constitutes
the main payload on board Meteosat.
• The radiometer scans in 3 spectral bands: Visible, Infrared, and Water
Vapor.
• The instrument allows continuous imaging of the Earth with images
sent every half-hour.
15. SAR Characteristics
Frequency / Wavelength 5.3GHz/C-band 5.6 cm
RF Bandwidth 11.6, 17.3 or 30.0 Mhz
Transmitter Power (peak) 5 kW
Transmitter Power (average) 300 W
Maximum Data Rate 85 Mb/s (recorded) - 105 Mb/s (R/T)
Antenna Size 15m x 1.5m
Antenna Polarization HH
Orbit Characteristics
Altitude 793-821 kilometres
Inclination 98.6 degrees
Period 101 minutes
Ascending node 18:00 hours
Sun-synchronous 14 orbits per day
Coverage Access Using Maximum Swath Width
North of 70 degrees N Daily
North of 48 degrees N Every 4 days
The Whole Earth Every 6 days
RADARSAT Specifications
18. ATSR (Along Track Scanning Radiometer)
• Objective: sea surface temperature, cloud
observations, land and ice surface emissivity
• Spectral channels: 4 co-registered channels at 1.6,
3.7, 10.8 and 12 micro-meter
• IFOV: 1 km x 1 km (nadir), 1.5 km x 2 km
(forward view)
• Swath width: 500 km
20. The earliest Indian satellite IRS-1C was launched in December 1995 and carried
instruments with both high and medium spatial resolutions.
IRS-1C
IRS-1C data is available from January 1998 to till date
IRS-1C WIFS data is available from October 4th 1999 to till date
SENSOR PRODUCT DESCRIPTION SCALE AREA
LISS – III Standard Full scene based path row products 1:250,000 141 kmx 141
km
LISS -III Standard Quadrant scene based path row
products
1:125,000 72 km x 72
km
PAN Standard Full Scene based path row products Not Applicable 70 km x (70-
91) km
PAN Standard Quadrant scene based path row
products
Not Applicable 35 km x 35
km
PAN Standard Sub-scene based path row products 1:50,000 23 km x (23-
30) km
PAN Geocoded data products as per SOI toposheet
for Indian region
1:25,000 14 km x 14
km
PAN Point geocoded products 1:12,500 9 km x 9 km
WiFS Standard Scene based path row products 1:2M 810 km x 810
km
IRS-1C data is available from January 1998 to till date
IRS-1C WIFS data is available from October 4th 1999 to till date
SENSOR PRODUCT DESCRIPTION SCALE AREA
LISS – III Standard Full scene based path row products 1:250,000 141 kmx 141
km
LISS -III Standard Quadrant scene based path row
products
1:125,000 72 km x 72
km
PAN Standard Full Scene based path row products Not Applicable 70 km x (70-
91) km
PAN Standard Quadrant scene based path row
products
Not Applicable 35 km x 35
km
PAN Standard Sub-scene based path row products 1:50,000 23 km x (23-
30) km
PAN Geocoded data products as per SOI toposheet
for Indian region
1:25,000 14 km x 14
km
PAN Point geocoded products 1:12,500 9 km x 9 km
WiFS Standard Scene based path row products 1:2M 810 km x 810
km
21. IRS-1D was successfully launched on September 29, 1997. The satellite is
an identical twin to IRS-1C. Thus this satellite couple together gives a
revisiting cycle of 12 days as opposed to the single-satellite 24-day revisit
cycle.
IRS-1D data is available from April 15th 1998 to till date
SENSOR PRODUCT
DESCRIPTION
SCALE AREA
LISS – III Standard Full scene based path row
products
1:250,000 127 km x 145.5 km
LISS -III Standard Quadrant scene based path
row products
1:125,000 63.5 km x 71 km
PAN Standard Full Scene based path row
products
NotApplicable 63 km x 71.8 km
PAN Standard Quadrant scene based path
row products
NotApplicable 31.5 km x 34.5 km (Nadir)
PAN Standard Sub-scene based path row
products
1:50,000 21 km x 23 km (Nadir)
PAN Geocoded data products as per SOI
toposheet for Indian region
1:25,000 14 km x 14 km
PAN Point geocoded products 1:12,500 9 km x 9 km
WiFS Standard Scene based path row
products
1:2M 720 km x 778 km
IRS-1D
22. IRS-P3 is a purely research satellite, successfully launched 21 March, 1996
with WiFS sensor such as IRS-1 C/D with SWIR band at resolution 188 x 246
meter.
IRS-P4 (OCEANSAT-1) was successfully launched 26 May, 1999. The
satellite is equipped with two instruments:
OCM ( Ocean Color Monitor )
• Sun synchronous at an altitude of 720 km.
• Operating in eight narrow spectral bands, 0.400 - 0.885 micrometer,
• A resolution of 350 m and a swath of 1420 km
• Used to collect data on chlorophyll concentration, detect and monitor
phytoplankton blooms and obtain data on atmospheric aerosols and suspended
sediments in the water.
MSMR ( Multifrequency Scanning Microwave Radiometer ).
• A swath of 1360 km
• Operating in four microwave frequencies both in vertical and horizontal
polarization
• Used to collect data on sea surface temperature, wind speed, cloud water content
and water vapor content in the atmosphere above the ocean.
IRS-P3 and IRS-P4
24. JERS-1
(Japanese Earth Resources Satellite)
1. Objective:
Gather data on global land masses while conducting observation for land
surveys, agricultural-forestry-fisheries, environmental protection, disaster
prevention and coastal surveillance, with emphasis on locating natural resources.
2. Operation Time :
1992 - 1998
3. Sensors:
• SAR (Synthetic Aperture Radar) which is an active microwave sensor
• OPS (Optical Sensor) that measures light reflected from the earth's surface
ranging from visible light to short-wave infrared light.
25. ADEOS
(Advanced Earth Observing Satellite)
1. Goal:
Monitoring global environmental changes such as maritime meteorological
conditions, atmospheric ozone, and gases that promote global warming
2. Operation Time :
August 1996 - June 1997
3. Sensors:
• AVNIR (Advanced Visible Near Infrared Radiometer)
• OCTS (Ocean Color and Temperature Scanner)
• NSCAT (NASA Scatterometer)
• TOMS (Total Ozone Mapping Spectrometer)
• POLDER (Polarization and Directionality of the Earth's Reflectance)
• IMG (Interferometric Monitor for Greenhouse Gases)
• ILAS (Improved Limb Atmospheric Spectrometer)
• RIS (Retroreflector In-Space)
26. AVNIR
(Advanced Visible Near Infrared Radiometer)
Measurement Objectives: Land and Coastal Zone
Scanning Method : Electronic(CCD)
Wavelength: Visible( 3 Bands),Near-infrared(1)
Panchromatic-Band (visible): 1Bands
Spatial Resolution: 16m, Panchromatic-Band:8m
Swath Width: 80km
27. OCTS
(Ocean Color and Temperature Scanner)
Measurement Objectives: Ocean Color and Sea Surface Temperature
Scanning Method: Mechanical
Wavelength: Visible: 6 Bands, Thermal-infrared:3 Bands,
Middle-infrared: 1 Bands
Spatial Resolution: 700m
Swath Width: 1400km
28. MOS
(Marine Observation Satellite MOS-1 / MOS-1b)
1. Objective:
Japan's first marine observation satellite, was launched as a link in a global satellite
observation system for more effective natural resource utilization and for
environmental protection.
2. Operation Time:
1987 - April 1996
3. Sensors:
• MESSR ( Multi-spectral Electronic Self-scanning Radiometer )
An electronic scanning radiometer that observes solar light reflected from the earth
surface. It is equipped with two camera systems that are set parallel to the satellite's flight
direction.
• VTIR (Visible and Thermal Infrared Radiometer )
Using a rotating scanning mirror, the VTIR mechanically scans from right to left at right
angle to the satellite's flight direction.
• MSR ( Microwave Scanning Radiometer )
A radio sensor scanning the earth surface along the flight path with its rotating dish
antenna.