Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft).
Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth.
Identification Of Ground Water Potential Zones In Tamil Nadu By Remote Sensin...IJERA Editor
A case study was conducted to find out the groundwater potential zones in Salem, Erode and Namakkal districts, Tamil Nadu, India with an aerial extent of 360.60 km2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in Arc GIS 9.3. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil −25%, geomorphology − 25%, land use/land cover −25%, slope − 15%, lineament − 5% and drainage / streams − 5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km2, 261.61 km2 and 46.04 km2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft).
Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth.
Identification Of Ground Water Potential Zones In Tamil Nadu By Remote Sensin...IJERA Editor
A case study was conducted to find out the groundwater potential zones in Salem, Erode and Namakkal districts, Tamil Nadu, India with an aerial extent of 360.60 km2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in Arc GIS 9.3. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil −25%, geomorphology − 25%, land use/land cover −25%, slope − 15%, lineament − 5% and drainage / streams − 5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km2, 261.61 km2 and 46.04 km2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
Water-Body Area Extraction From High Resolution Satellite Images-An Introduct...CSCJournals
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Surveying of water-bodies and delineate its features properly is very first step for any planning, especially for places like India, where the land-cover is dominated by water-bodies. Recording images, such as from satellite, sometimes does not reflect the distinguished characteristics of water with non-water features, e.g. shadows of super structures. Image of water body is confused easily with the shadow of skyscraper, since calm water surface induces mirror reflection when it gives birth to echo wave. Over the past decade, a significant amount of research been conducted to extract the water body information from multi-resolution satellite image. The objective of this paper is to review methodologies applied for water body extraction using satellite remote sensing. First, studies on water body detection are treated. Methodological issues related to the use of these methods were summarized. Results from empirical studies, applying water-body extraction techniques are collected and discussed. Important issues for future research are also identified and discussed.
Remote sensing is the observation of an object from a distance.
It is the art of identifying, observing and measuring an object without coming into direct contact with it by detecting and measuring the radiation of different wavelengths reflected from distant objects.
This presentation cover description of microwave remote sensing, Active and Passive Microwave remote sensing, RADAR, Slant range distortion like Foreshortening and Layover, Sar image and some Recent works in where microwave remote sensing has used to detect natural calamities
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
In India, agriculture is one of the major application areas of the remote sensing technology. Various national level agricultural applications have been developed which showcases the use of remote sensing data provided by the sensors/satellites launched by the country’s space agency, Indian Space Research Organisation (ISRO)
Water-Body Area Extraction From High Resolution Satellite Images-An Introduct...CSCJournals
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Surveying of water-bodies and delineate its features properly is very first step for any planning, especially for places like India, where the land-cover is dominated by water-bodies. Recording images, such as from satellite, sometimes does not reflect the distinguished characteristics of water with non-water features, e.g. shadows of super structures. Image of water body is confused easily with the shadow of skyscraper, since calm water surface induces mirror reflection when it gives birth to echo wave. Over the past decade, a significant amount of research been conducted to extract the water body information from multi-resolution satellite image. The objective of this paper is to review methodologies applied for water body extraction using satellite remote sensing. First, studies on water body detection are treated. Methodological issues related to the use of these methods were summarized. Results from empirical studies, applying water-body extraction techniques are collected and discussed. Important issues for future research are also identified and discussed.
Remote sensing is the observation of an object from a distance.
It is the art of identifying, observing and measuring an object without coming into direct contact with it by detecting and measuring the radiation of different wavelengths reflected from distant objects.
This presentation cover description of microwave remote sensing, Active and Passive Microwave remote sensing, RADAR, Slant range distortion like Foreshortening and Layover, Sar image and some Recent works in where microwave remote sensing has used to detect natural calamities
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
1. Basic concept, components and
applications of Remote Sensing
Lec. 1-2
Dr. Sanjani S. Salunkhe,
Assistant Professor,
Dept. of Soil and Water Cons. Engg.,
Dr. D.Y.Patil CAET, Talsande
2. • Remote sensing is the science and art of obtaining
information about an object, area or phenomenon
through an analysis of the data acquired by a device
which is not in contact with the object, area or
phenomenon under investigation.
• Remote sensing data basically consists of wavelength
intensity information acquired by collecting the
electromagnetic radiation leaving the object at
specific wavelength and measuring its intensity.
WHAT IS REMOTE SENSING ?
4. Components of Remote Sensing
1. Energy Source:
i. Passive System: Sun, irradiance from earth’s materials.
ii. Active System: Irradiance from artificially generated
energy sources such as radar.
2. Platforms: These are vehicles to carry the sensor e.g. truck,
aircraft, space shuttle, satellite, etc.
5. 2. Sensors: Device to detect electro-magnetic radiation e.g.
camera, scanner, etc.
3. Detectors: Handling signal data e.g. photographic, digital, etc.
4. Processing: Handling signal data e.g. photographic, digital etc.
5. Institutionalization: These are organizations for execution of
all stages of remote sensing technology e.g. International and
national organizations, research centres, universities, etc.
6. Elements Involved in Remote Sensing:
1. Energy Source or Illumination (A)
2. Radiation and the Atmosphere (B)
3. Interaction with the Object (C)
4. Recording of Energy by the Sensor (D)
5. Transmission, Reception and Processing (E)
6. Interpretation and Analysis (F)
7. Application (G)
7. • Types of sensing systems to record the information
about any target:
1. Active sensing system and
2. passive sensing system
Classification of Remote Sensing
8.
9. Advantages of remotely sensed data
• Collection of data from both accessible and
inaccessible areas on a repetitive bais
• Quality, reliability and timeliness
• Remote sensors collected data, it can be used and
analysed multiple times for different applications.
• Remote sensing technology like LiDAR collects point
cloud data
• Large area coverage
10. • Remote sensing allows repetitive coverage which comes in
handy when collecting data on dynamic themes such as water,
agricultural fields and so on.
• A single image captured through remote sensing can be
analysed and interpreted for use in various applications and
purposes. There is no limitation on the extent of information
that can be gathered from a single remotely sensed image.
• Remote sensing is un-obstructive especially if the sensor is
passively recording the electromagnetic energy reflected from
or emitted by the phenomena of interest (passive remote
sensing does not disturb the object or the area of interest).
11. • Remote sensing allows for map revision at a small to medium
scale which makes it a bit cheaper and faster.
• Colour composite can be obtained or produced from three
separate band images which ensure the details of the area are
far much more defined than when only a single band image or
aerial photograph is being reproduced.
• It is easier to locate floods or forest fire that has spread over a
large region which makes it easier to plan a rescue mission
easily and fast.
• Remote sensing is a relatively cheap and constructive method
reconstructing a base map in the absence of detailed land
survey methods.
12. Disadvantages of remotely sensed data
• Remote sensing requires a special kind of training to analyse
the images.
• It is expensive to analyse repetitive photographs if there is
need to analyse different aspects of the photography features.
• The instruments used in remote sensing may sometimes be
un-calibrated which may lead to un-calibrated remote sensing
data.
• Sometimes different phenomena being analysed may look the
same during measurement which may lead to classification
error.
13. Uses of RS techniques in assessment and
monitoring of land and water resources
• Assessment of water availability in reservoirs for optimal
management of water to meet irrigation demand.
• Identifying, inventoryingand assessment ofirrigated crops.
• Determination of irrigation water demands over space and
time.
• Estimation of crop yields.
• Water logging and salinity problems in irrigatedlands.
14. • Evapotranspiration studies.
• Irrigation system performance evaluation.
• Satellite remote sensing derived indicators such as
chlorophyll, can monitor that algal bloom thus monitoring
water quality in a spatio-temporal fashion.
• Surface Water Quantity: One of the key argument is the
lack of the ground data, which plays an important role in
evaluating the status of water resource and taking useful
measures to respond the threat of water scarcity. In this
regard, earth observation can offers standardized and
long-term observations to address such challenges.
15. • The RS has capability of multi-temporal imaging and satellite
imagery based indices (i.e., Normalized Difference Water
Index (NDWI)), can efficiently identify, map and calculate the
total surface area of the water bodies in different seasons
(i.e., dry, wet) and by integrating satellite altimetry
measurements which quantify and monitor the water storage
change over time.
• Ground water Quantity: For planning and management of
water resource, need to know, globally how much fresh
water available. Gravity Recovery and Climate Experiment
(GRACE), continuously measuring the changes in earth’s mass
hence gravity that are mainly due to water moving on and
under the surface.
16. WATER RESOURCES MANAGEMENT
• Runoff and Hydrological Modelling: Remote Sensing
techniques, they can be used in research areas like
- determining watershed geometry, drainage network
and other map-type information for distributed
hydrologic models and for determining empirical flood
peak, annual runoff or low flow equations and
- providing input data like soil moisture or delineated
land use classes, which are used for determining runoff
co-efficient.
17. • Remotely sensed data, particularly Landsat, Thematic Mapper
(TM), SPOT), and Indian Remote Sensing Satellite (IRS) data
has been used for calculation of drainage basin area and
stream network density.
• Hydrologic Engineering Center (HEC-1) model was used to
demonstrate the efficacy of using Remote Sensing for re-
computation of hydrologic variables. HEC-1 model was used in
integrating detailed land use data from Landsat TM.
18. • Flood Management:
• Information acquired through Remote Sensing covers wide
area, periodicity and spectral characteristics and is especially
useful in comparing data before and after the flood.
• The utility of satellite Remote Sensing has been demonstrated
operationally for mapping flood inundated areas.
• Partially cloud free data acquired, analysed and interpreted in
near real time by IRS series satellites.
• IRS-1C, IRS-1D, IRS-P6, Cartosat-1, Cartosat-2, Radarsat and
Earth Resource Satellite (ERS) are used for flood inundation
mapping, estimation of flood damage and infrastructure loss.
19. • Watershed Management:
• Space borne multi spectral data has been used to generate
baseline information on various natural resources like soil,
forest cover, surface water, groundwater and land use/land
cover.
• Subsequent integration of such information with slope and
socio-economic data in a GIS has resulted in generation of
location specific management plan for sustainable
development of land and water resources within a watershed.
20. • Drought Management:
• Timely and reliable information about the onset of drought,
its extent, intensity, duration and impact can limit drought
related loss of life, minimize human suffering and reduce
damage to the economy and environment.
• Remote Sensing data from geostationary and polar orbiting
weather satellites like Indian National Satellite (INSAT),
National Oceanic and Atmospheric Administration (NOAA)
and other global data are used as major inputs in rainfall
predictions ranging from long-term seasonal predictions
through medium range predictions to short-term predictions.
21. • Irrigation Command Area Management:
• Remote Sensing techniques can be immensely helpful in
inventory of irrigated land, identification of crop types, crop
extent, crop condition and estimation of crop yield, as
demonstrated in various investigations in India and in other
countries.
• Periodic satellite monitoring of Irrigation Command Areas has
helped in evaluating increase in irrigation utilization and
improvement in agricultural productivity over a period of time.
22. • Remote Sensing methods have been successfully applied in
delineating saline and alkaline soils and detecting areas having
ineffective water management practices leading to decrease in
crop yield.
• Remote Sensing techniques are now increasingly applied in
land use planning and in identifying areas suitable for sustained
irrigated cropping with the help of “irrigability maps” prepared
from satellite data.
• Vegetation Indices and demand-supply analysis is used in many
Irrigation Command Areas in India to evaluate irrigation
potential.