Basic Concepts, Explanation, and Application. Fundamental Remote Sensing; Advantage/ disadvantages, Imaging/non Imaging sensors, RAR and SAR, SAR Geometry, Resolutions in the microwave, Geometric Distortions in SAR, Polarization in SAR, Target Interaction, SAR Interferometry
Basic Concepts, Explanation, and Application. Fundamental Remote Sensing; Advantage/ disadvantages, Imaging/non Imaging sensors, RAR and SAR, SAR Geometry, Resolutions in the microwave, Geometric Distortions in SAR, Polarization in SAR, Target Interaction, SAR Interferometry
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.
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
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.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
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.
What is Remote Sensing?
Process of Remote Sensing
Electromagnetic Radiations
Electromagnetic Spectrum
Interaction with Atmosphere
Radiations-Target Interactions
Passive Vs Active Sensing
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.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Remote Sensing Methods for operational ET determinations in the NENA region, ...NENAwaterscarcity
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
1Resolutions of Remote Sensing1. Spatial (what area an.docxaulasnilda
1
Resolutions of Remote Sensing
1. Spatial (what area and how detailed)
2. Spectral (what colors – bands)
3. Temporal (time of day/season/year)
4. Radiometric (color depth)
Spatial Resolution describes how much
detail in a photographic image is visible to
the human eye.
The ability to "resolve," or separate, small
details is one way of describing what we
call spatial resolution.
2
Spatial resolution of images acquired by satellite sensor
systems is usually expressed in meters.
For example, we often speak of Landsat as having “30-
meter" resolution, which means that two objects, thirty
meters long or wide, sitting side by side, can be
separated (resolved) on a Landsat image.
Other sensors have lower or higher spatial resolutions.
Comparison of Landsat Sensors
Thematic Mapper
(TM) Landsat 4 and 5
Enhanced Thematic
Mapper Plus (ETM+)
Landsat 7
Multispectral
Scanner (MSS)
Landsat 1-5
Spectral
Resolution
(µm)
1. 0.45-0.52 (B)
2. 0.52-0.60 (G)
3. 0.63-0.69 (R)
4. 0.76-0.90 (NIR)
5. 1.55-1.75 (MIR)
6. 2.08-2.35 (MIR)
7. 10.4-12.5 (TIR)
1. 0.45-0.52
2. 0.53-0.61
3. 0.63-0.69
4. 0.78-0.90
5. 1.55-1.75
6. 2.09-2.35
7. 10.4-12.5
8. 0.52-0.90 (Pan)
0.5-0.6 (green)
0.6-0.7 (red)
0.7-0.8 (NIR)
0.8-1.1 (NIR)
Spatial
Resolution
(meter)
30 x 30
120 x 120 (TIR)
15 x 15 (Pan)
30 x 30
60 x 60 (TIR)
79 x 79
Temporal
Resolution
(revisit in days)
16 16 18
Spatial
coverage (km)
185 x 185 183 x 170 185 x 185
Altitude (km) 705 705 915 (Landsat 1,2,3)
3
Planimetric data – roads, buildings, driveways
Spatial Resolution
80 meter MSS w/ planimetric overlay
Spatial Resolution
4
30 meter TM w/ planimetric overlay
Spatial Resolution
10 meter SPOT w/ planimetric overlay
Spatial Resolution
5
1 meter DOQ w/ planimetric overlay
Spatial Resolution
Sub-meter data w/ planimetric overlay
Spatial Resolution
6
Looking More Closely at Resolution
Looking More Closely at Resolution
7
Landsat MSS
Satellite
80 Meter
Resolution Grid
Cell
Looking More Closely at Resolution
Landsat TM
Satellite
30 Meter
Resolution Grid
Cell
Looking More Closely at Resolution
8
SPOT Satellite 10 Meter
Resolution Grid Cell
Looking More Closely at Resolution
IKONOS Satellite
4 Meter Resolution
Grid Cell
Looking More Closely at Resolution
9
IKONOS Satellite
1 Meter Resolution
Grid Cell
Looking More Closely at Resolution
Landsat 7
185 by 170 km
30-m multispectral
Indian Remote
Sensing
145 by 145 km
25-m multispectral
SPOT
60 by 60 km
20-m multispectral
QuickBird 2
16 by 16 km
2.5-m multispectral
IKONOS
11 by 11 km
4-m multispectral
Selected Satellite Footprints
OrbView 3
8 by 8 km
4-m multispectral
1-m panchromatic10
10 100
10 100
10
Resolutions of Remote Sensing
1. Spatial (what area and how detailed)
2. Spectral (what colors – bands)
3. Temporal (time of day/season/year)
4. Radiometric (color depth)
The best spatial resolution?
11
1. ...
Landsat data and its application in landuse and landcover .(NIT ROURKELA)IndrajeetKumar110
Landsat data and its application in landuse and landcover .classification of mining area and technology of assessing the use of land for various large scale development
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
2. On July 23, 1972 the Earth Resources Technology Satellite was launched. This was
eventually renamed to Landsat.
The most recent, Landsat 8, was launched on February 11, 2013. The instruments on
the Landsat satellites have acquired millions of images.
Landsat satellites have been collecting images of the Earth's surface for more than
thirty years.
Instruments onboard the satellites have acquired millions of images of the Earth.
These images provide a unique resource for people who work in agriculture, geology,
forestry, regional planning, education, mapping, and global change research
3. Landsat data provides a high spatial and spectral resolution imagery set useful for:
Estimation of snow cover extent expressed as fraction per pixel,
Estimation of tree canopy cover,
Other geophysical and vegetation parameters.
4. TIROS
The Television Infrared Observation Satellite Program (TIROS)
The TIROS Program (Television Infrared Observation Satellite) was NASA's first
experimental step to determine if satellites could be useful in the study of the
Earth.
The TIROS Program's first priority was the development of a meteorological satellite
information system. Weather forecasting was deemed the most promising
application of space-based observations.
TIROS proved extremely successful, providing the first accurate weather forecasts
based on data gathered from space. TIROS began continuous coverage of the Earth's
weather in 1962, and was used by meteorologists worldwide.
5.
6.
7. Instrument Launched Terminated Duration Notes
Landsat 1 July 23, 1972 January 6, 1978
2 years, 11 months and
15 days
Originally named Earth Resources
Technology Satellite 1.
Landsat 2 January 22, 1975 February 25, 1982
2 years, 10 months and
17 days
Nearly identical copy of Landsat 1
Landsat 3 March 5, 1978 March 31, 1983 5 years and 26 days
Nearly identical copy of Landsat 1 and
Landsat 2
Landsat 4 July 16, 1982 December 14, 1993
11 years, 4 months and
28 days
Landsat 5 March 1, 1984 June 5, 2013
29 years, 3 months and
4 days
Nearly identical copy of Landsat 4.
Longest Earth-observing satellite mission
in history.
Landsat 6 October 5, 1993 October 5, 1993 0 days Failed to reach orbit.
Landsat 7 April 15, 1999 Still active
15 years, 9 months and
19 days
Operating with scan line corrector
disabled since May 2003.
Landsat 8 February 11, 2013 Still active
1 year, 11 months and
23 days
Originally named Landsat Data
Continuity Mission from launch until May
30, 2013, when NASA operations were
turned over to USGS.
8.
9. The first three satellites were identical and their payloads consisted of two optical
instruments, a multispectral sensor (MultiSpectral Scanner or MSS)and a series of
video cameras (Return Beam Vidicons or RBVs).
altitude: 907-915 km
inclination: 99.2 degrees
orbit: sun-synchronous polar
orbit period: 103 minutes
revisit time: 18 days
10. RBV sensors
The payloads of the first two satellites included a series of three video cameras that
took pictures in the visible and infrared bands. The resolution was 80m for 185 x
185km images. The resolution of the images acquired by Landsat 3 was raised to
40m, but the cameras took images in a single panchromatic spectral band (0.5-
0.75µm) only.
MSS sensors
These mechanical sensors collected information in four spectral bands and over a
185 x 185km area. Since this instrument was developed after the three RBV
cameras, these bands were numbered from 4 to 7. Landsat 3’s multispectral scanner
included an additional spectral band in the thermal infrared band.
satellites : LANDSAT 1 (23/07/1972 - 06/01/1978)
LANDSAT 2 (22/01/1975 - 05/02/1982)
LANDSAT 3 (05/03/1978 - 31/03/1983)
11. Band Spectral band Resolution
4 0,5 - 0,6 µm 79 m x 82 m
5 0,6 - 0,7 µm 79 m x 82 m
6 0,7 - 0,8 µm 79 m x 82 m
7 0,8 - 1,1 µm 79 m x 82 m
8 10,5 - 12,4 µm
240 m x 240 m (LANDSAT 3
only)
12. The next two satellites (LANDSAT 4 and 5) were equipped with two mutispectral
sensors, i.e., a multispectral scanner (MSS) and a Thematic Mapper (TM).
altitude: 705 km
inclination: 98.2 degrees
orbit: sun-synchronous polar
orbit period: 98.9 minutes
revisit time: 16 days
satellites : LANDSAT 4 (16/07/1982 – 07/1987)
LANDSAT 5 (01/03/1985 – operational)
13. MSS sensors
These scanners were identical to those on the first two Landsat satellites. The only
difference was that the four spectral bands were numbered from 1 to 4 since the
RBVs were no longer used. Landsat 5’s MSS stopped acquiring data in 1992.
Band Spectral band Resolution Use
1 0,5 - 0,6 µm 79 m x 82 m Coastal zones, marine sediments
2 0,6 - 0,7 µm 79 m x 82 m Roads and urban areas
3 0,7 - 0,8 µm 79 m x 82 m
Plant studies and mapping of earth/water
boundaries
4 0,8 - 1,1 µm 79 m x 82 m
Plant studies and mapping of earth/water
boundaries
14. TM sensors
These high-resolution scanners have seven spectral bands and always cover a 185 x
185 km area.
Band Spectral band Resolution Use
1 0,45 - 0,52 µm 30 m x 30 m Ground/plants differentiation, coastal zones
2 0,52 - 0,60 µm 30 m x 30 m Vegetation
3 0,63 - 0,69 µm 30 m x 30 m Plant species differentiation
4 0,76 - 0,90 30 m x 30 m Biomass
5 1,55 - 1,75 µm 30 m x 30 m Snow/cloud differentiation
6 10,4 - 12,5 µm 120 x 120 m Thermal
7 2,08 - 2,35 µm 30 m x 30 m Lithology
15. The last generation of Landsat satellites started with a failure, for Landsat 6 was
lost just after its launch on 3 October 1993.
Landsat 7 was launched in 1999 and is equipped with a mutispectral sensor known
as the Enhanced Thematic Mapper Plus or ETM+.
altitude: 705 km
inclination: 98.2 degrees
orbit: sun-synchronous polar
orbit period: 98.9 minutes
revisit time: 16 days
satellites : LANDSAT 6 (03/10/1993 – 03/10/1993)
LANDSAT 7 (15/04/1999 – still operational)
16. ETM+ sensor
As its name indicates, this scanner is an enhanced version of the previous TMs. It
now has a high-resolution panchromatic wide band.
Band Spectral band Resolution Use
1 0,45 - 0,515 µm 30 m x 30 m
Ground/plant differentiation,
coastal zones
2 0,525 - 0,605 30 m x 30 m Vegetation
3 0,63 - 0,69 µm 30 m x 30 m Differentiate plant species
4 0,75 - 0,90 µm 30 m x 30 m Biomass
5 1,55 - 1,75 µm 30 m x 30 m Snow/cloud differentiation
6 10,4 - 12,5 µm 60 m x 60 m Thermal
7 2,09 - 2,35 µm 30 m x 30 m Lithology
PAN 0,50 - 0,90 µm 15 m x 15 m
17. The Landsat 8 satellite images the entire Earth every 16 days in an 8-day offset from
Landsat 7.
Data collected by the instruments onboard the satellite are available to download at
no charge from GloVis, EarthExplorer, or via the LandsatLook Viewer within 24 hours
of reception.
18. Processing: Level 1 T- Terrain Corrected
Pixel Size:
OLI multispectral bands 1-7,9: 30-meters
OLI panchromatic band 8: 15-meters
TIRS bands 10-11: collected at 100 meters but resampled
to 30 meters to match OLI multispectral bands
Data Characteristics:
GeoTIFF data format
Cubic Convolution (CC) resampling
North Up (MAP) orientation
Universal Transverse Mercator (UTM) map projection
(Polar Stereographic projection for scenes with a center
latitude greater than or equal to -63.0 degrees)
World Geodetic System (WGS) 84 datum
12 meter circular error, 90% confidence global accuracy
for OLI
41 meter circular error, 90% confidence global accuracy
for TIRS
16-bit pixel values