Search results “Data interpretation in remote sensing”
Image Interpretation
This video lecture introduces students to the eight common elements of image interpretation.
Views: 12007 ailuropoda8
Visual Image Interpretation
Subject:Environmental Sciences Paper: Remote sensing & GIS applications in environmental science
Views: 1979 Vidya-mitra
Subject : GEOLOGY Course name: NATURAL ENVIRONMENT Name of Presenter: Prof. B. Suresh & Ms. Vibha Gunjikar Keyword: Swayam Prabha ,UG
Visual interpretation of aerial photographs
Subject: Geology Paper: Remote sensing and GIS Module: Visual interpretation of aerial photographs Content Writer: Atiqur Rehman
Views: 13163 Vidya-mitra
Spectral analysis for geological applications
Discover geological exploration on-demand! Charlotte Bishop from CGG's NPA Satellite Mapping presented this webinar on geological exploration combining satellite imagery, DEM and spectral analysis. Hosted by Exelis (a specialist software provider), this webinar revealed how NPA Satellite Mapping uses satellite imagery in its geological studies, and how spectral analysis is of particular benefit, illustrated through a case study on gold mineralization. As part of CGG, NPA Satellite Mapping a world-leading supplier of satellite images, multi-client products and bespoke mapping services.
Views: 14379 CGGcompany
Remote Sensing and Image Interpretation, 7th Edition
Download Link http://bit.ly/2YDBzvH
Views: 45 Georsgis Blog
Georgios Ouzounis: interpreting remote sensing data for humanitarian needs
SPIE Defense Security and Sensing Symposium - http://spie.org/dss The Joint Research Centre of the European Commission uses imaging from satellites and other sources to quickly assess challenges presented by natural disasters or other crises. Georgios K. Ouzounis obtained a bachelor in Electrical and Electronic Engineering (BEng.) and a M.Phil. degree in computer science from the department of Computing and Electrical Engineering, Heriot Watt University, Edinburgh, Scotland in 1998 and 2001 respectively. He received his Ph.D. iRn image analysis and connected morphological filters from the Johann Bernoulli Institute of Mathematics and Computing Science, University of Groningen, The Netherlands, in 2009. From January 2008 to September 2009 he worked at the Democritus University of Thrace - 2nd Department of Surgery, University General Hospital of Alexandroupoli, Greece, as a medical image analyst developing 3-D CT segmentation methods for diagnostic purposes of interest to the Urological Clinic. Currently he is researcher at the Global Security and Crisis Management Unit of ISFEREA - Joint Research Center of the European Commission in Ispra, Italy, where he works on the development of advanced VHR satellite and aerial image analysis algorithms. He has invented three major algorithms, the dual-input Max-Tree algorithm, the Differential Area Profiles by Area Zone Decomposition, and the Alpha-Tree. He is a member of the Image Query team of ISFEREA and his latest research is on texture analysis in support to the development of a global human-settlement layer, and the analysis of urban and rural scenery for crisis-management applications.
Views: 523 SPIETV
✪✪✪✪✪ GET FREE BITCOINS just for surfing the web as you usually do - https://bittubeapp.com/?ref?2JWO9YEAJ ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DATA ACQUISITION? What does DATA ACQUISITION mean? DATA ACQUISITION meaning - DATA ACQUISITION definition - DATA ACQUISITION explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems, abbreviated by the acronyms DAS or DAQ, typically convert analog waveforms into digital values for processing. The components of data acquisition systems include: 1. Sensors, to convert physical parameters to electrical signals. 2. Signal conditioning circuitry, to convert sensor signals into a form that can be converted to digital values. 3. Analog-to-digital converters, to convert conditioned sensor signals to digital values. Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages such as Assembly, BASIC, C, C++, C#, Fortran, Java, LabVIEW, Lisp, Pascal, etc. Stand-alone data acquisition systems are often called data loggers. There are also open-source software packages providing all the necessary tools to acquire data from different hardware equipment. These tools come from the scientific community where complex experiment requires fast, flexible and adaptable software. Those packages are usually custom fit but more general DAQ package like the Maximum Integrated Data Acquisition System can be easily tailored and is used in several physics experiments worldwide. In 1963, IBM produced computers which specialized in data acquisition. These include the IBM 7700 Data Acquisition System, and its successor, the IBM 1800 Data Acquisition and Control System. These expensive specialized systems were surpassed in 1974 by general purpose S-100 computers and data acquisitions cards produced by Tecmar/Scientific Solutions Inc. In 1981 IBM introduced the IBM Personal Computer and Scientific Solutions introduced the first PC data acquisition products. Data acquisition begins with the physical phenomenon or physical property to be measured. Examples of this include temperature, light intensity, gas pressure, fluid flow, and force. Regardless of the type of physical property to be measured, the physical state that is to be measured must first be transformed into a unified form that can be sampled by a data acquisition system. The task of performing such transformations falls on devices called sensors. A data acquisition system is a collection of software and hardware that lets you measure or control physical characteristics of something in the real world. A complete data acquisition system consists of DAQ hardware, sensors and actuators, signal conditioning hardware, and a computer running DAQ software. A sensor, which is a type of transducer, is a device that converts a physical property into a corresponding electrical signal (e.g., strain gauge, thermistor). An acquisition system to measure different properties depends on the sensors that are suited to detect those properties. Signal conditioning may be necessary if the signal from the transducer is not suitable for the DAQ hardware being used. The signal may need to be filtered or amplified in most cases. Various other examples of signal conditioning might be bridge completion, providing current or voltage excitation to the sensor, isolation, linearization. For transmission purposes, single ended analog signals, which are more susceptible to noise can be converted to differential signals. Once digitized, the signal can be encoded to reduce and correct transmission errors.
Views: 22713 The Audiopedia
Spatial Filtering , Band ratio and Principal Component Analysis techniques
Spatial Filtering Techniques, Band ratio and PCA
Satellite images in ArcMap - An Introduction
How to get started with using satellite images in ArcMap, including loading individual Landsat 7 ETM+ bands, creating a composite band image file, creating different band colour combinations, using the Image Analysis window, creating an NDVI image, loading a thermal band image, and using the Swipe tool Data was obtained from GeoGratis: http://geogratis.cgdi.gc.ca/geogratis/en/download/satellite.html
Views: 46626 Don Boyes
Supervised and unsupervised image classification
Subject: Geology Paper: Remote sensing and GIS Module: Supervised and unsupervised image classification Content Writer: Manika Gupta
Views: 21623 Vidya-mitra
Applied Remote Sensing Training ARSET for integrating NASA’s data into conservation
Cindy Schmidt from the Bay Area Environmental Research Institute & NASA presents the webinar "Applied Remote Sensing Training (ARSET) for integrating NASA’s data into conservation decision-making". The ARSET (Applied Remote Sensing Training) program offers satellite remote sensing training that builds the skills to integrate NASA Earth Science data into an organization’s decision-making activities. Trainings are offered in air quality, climate, disaster, health, land, water resources, and wildfire management. Through online and in person training, ARSET has reached over 13,000 participants from 160 countries and more than 3,600 organizations worldwide. This webinar will focus on how trainings can be applied to conservation issues. Through ARSET trainings, you can learn how to: Use NASA data for environmental management Search and access NASA resources relevant to your needs Visualize, interpret, and apply remote sensing data and imagery. CBI presents this webinar in partnership with the Society for Conservation GIS (SCGIS). To learn more about this organization, please visit https://www.scgis.org/.
Views: 131 databasin
Lecture 33 | 🛰️ REMOTE SENSING | PART 1
In this Video ( हिंदी ) : REMOTE SENSING : 🛰️ Concept of Remote Sensing 👍 Advantages 🚫 Limitations --------------------- __ Audio Language : Hindi – हिंदी __ ************************* This video course is useful for Civil engineering students whom have subject of : Modern Surveying / Advanced Surveying / Surveying 2 and 3. ----------------- Content of this video series : ( हिंदी ) ✪ Tacheometric Surveying : Introduction, purpose, principle, instruments, stadia, constants, methods, of, tacheometry, anallatic, lens, subtense, bar, field, work, in, tacheometry, reduction, of, readings, errors, and, precisions, ✪ Geodetic Surveying : Principle and Classification of triangulation system- Selection of base line and stations- Orders of triangulation- Triangulation figures- Station marks and signals- marking signals- Extension of base, Reduction of Center, Selection and marking of stations ✪ Theory of Errors : Introduction, types of errors, definitions, laws of accidental errors, laws of weights, theory of least squares, rules for giving weights and distribution of errors to the field observations, determination of the most probable values of quantities. ✪ Field Astronomy: Introduction, purposes, astronomical terms, determination of azimuth, latitude , longitude and time corrections to the observations. ✪ Aerial photogrammetry : Introduction, Principle, Uses, Aerial camera, Aerial photographs, Definitions, Scale of vertical and tilted photograph,, Ground Co-ordinates, Displacements and errors, Ground control, Procedure of aerial survey, Photo maps and mosaics, Stereoscopes, Parallax bar. ✪ Modern Surveying Instruments: Introduction, Electromagnetic spectrum, Electromagnetic distance measurement, Total station, Digital self-leveling levels , scanners for topographical survey. ✪ Remote Sensing- Introduction, Principles of energy interaction in atmosphere and earth surface features, Image interpretation techniques, visual interpretation, Digital image processing, Global Positioning system ✪ Geographical Information System- Definition of GIS, Key Components of GIS, Functions of GIS, Spatial data, spatial information system Geospatial analysis, Integration of Remote sensing and GIS, and Applications in Civil Engineering. ********************* 🔰 VIJAY PARMAR 🔰
Views: 30620 Vijay Parmar
Principles of image interpretation
Principles of Image Interpretation
iGETT Concept Module Object Recognition on Aerial Imagery
This Concept Module focuses on techniques for Object Recognition using patterns observed in imagery (aerial, Landsat) using examples from forestry.
Digital Image Processing of Remote Sensing Data promo
Digital Image Processing of Remote Sensing Data
Accessing Remote Sensing Data
This podcast is prepared for Hydrologic Remote Sensing class to illustrate availability and access of free remote sensing data. Please contact me if you have questions or would like to access similar podcast
Views: 127 Shimelis Dessu
Colour composite images and visual image interpretation 1
Subject: Geology Paper: Remote sensing and GIS Module: Colour composite images and visual image interpretation 1 Content Writer: Iqbal Imam
Views: 328 Vidya-mitra
NASA ARSET: Basics of Synthetic Aperture Radar (SAR), Session 1/4
Session Objectives: - interpret the information in SAR images - recognize distortions that need to be corrected in SAR images - describe the basics of PolSAR and the information provided by different polarizations - describe the basics of InSAR and the information in an interferogram Download materials from this presentation: https://arset.gsfc.nasa.gov/disasters/webinars/intro-sar This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. Learn more about ARSET: http://arset.gsfc.nasa.gov/
Views: 13587 NASA Video
Overview of LiDAR; system variations, data interpretation & applications
https://www.geo.university/courses/overview-of-lidar-system-variations-data-interpretation-applications Become an expert on LiDAR data and systems with this step-to-step course, starting from scratch This video course gives detailed and broad information about how LiDAR systems works, their usability and interpretation. According to Wanger et al, LiDAR is a growing technology used in environmental research to collect information about the Earth, such as vegetation and tree species. Earth observation images, acquired from satellites, have been used for years in earth monitoring. In respect to forest monitoring, satellite imagery does not contain information about tree height, diameter at breast height and stem density amongst many other important parameters for monitoring forest health at tree level. In the last couple of decades, LiDAR data acquired from airborne platforms has been increasingly used for forest monitoring, urban planning, archaeology, biodiversity and automated driving. Using this technology, the commercial forestry sector managed a 40% reduction of the expensive fieldwork that cost them millions of dollars annually. Check out the curriculum for the detailed contents of this video course! Enhance your knowledge of Earth Observation and Remote Sensing along the way!
Views: 95 GEO University
remote sensing process in hindi | remote sensing and gis | lecture 2
this is the video lecture series on remote sensing and gis (रिमोट सेंसिंग और जीआईएस ) in which this is the second video is remote sensing process in hindi ( रिमोट सेंसिंग प्रक्रिया हिंदी में ). In this remote sensing lecture in hindi series we have discussed how remote sensing works or how remote sensing satellite works points along with the remote sensing basics remote sensing processing steps or remote sensing process steps in which each and every step in explained with suitable diagram ie remote sensing process diagram. the several process involved in remote sensing is given as follows 1. Energy source -(A) The first requirement for remote sensing is to have an energy source which illuminate or provide electromagnetic energy to the target of interest. 2. Radiation and atmosphere - (B) As the energy travels from its source to the target, it will come in contact with or interact with the atmosphere it passes through; this interaction may take place a second as the energy travels from the target to the sensor. 3. Interaction with the target -(C) Once the energy makes it way to the target through the atmosphere, it interacts with the target depending upon the properties of both the target & radiation 4. Recording of energy by the sensors -(D) After the energy has been scattered by, emitted from the target, we require a sensor (remote-not in contact with the target) to collect and record the electromagnetic radiation. 5. Transmission, reception and processing -(E) The energy required by the sensors has to be transmitted, often in electronic form, to receive and processing section where the data are produced into an image ( hard copy & digital ). 6. Interpretation and analysis -(F) The proceed image is interpreted in two types visually and digitally. To extract information about the target which was illuminated. 7. Application -(G) The final element of remote sensing process is achieved when we apply the information - we have been able to extract from the imagery about the target in order to better understand and reveal some new information. In this remote sensing lecture all the remote sensing basic concept have been covered and we also understand the remote sensing process. ------------------------------------------------------------------------------------------ if your concept related with remote sensing process will clear then for more knowledge stay tuned with study extent. ----------------------------------------------------------------------------------------------- Class 1: remote sensing in hindi - https://youtu.be/1zwg-siuvuc Class 2: remote sensing process in hindi - https://youtu.be/UokHOfOyrVw a) remote sensing and gis pdf - https://drive.google.com/file/d/15fhlShatqqwQ-kd4tQegz1HGAvhq8pRC/view?usp=sharing b) remote sensing process pdf - https://drive.google.com/file/d/13ZL5e0CJfOSP53lHPTg_pkiVFa6UTzu1/view?usp=sharing playlist ---- remote sensing and gis - https://www.youtube.com/playlist?list=PLp76zJxzEriMstHWJssWiczio7rtIAU6r
Views: 18901 Study Extent
LiDAR Remote Sensing Part 2: Systems & Data Collection
This presentation discusses the characteristics of laser scanning. The focus is on the integration of scanners into both terrestrial and airborne LiDAR data collection systems. The presentation was created as part of a peer-reviewed educational series of Reusable Learning Objects (RLOs) on LiDAR. The full suite of presentations can be accessed at http://ecolearnit.ifas.ufl.edu/. For more information on the statewide and online Geomatics program at the University of Florida, please visit us at http://flrec.ifas.ufl.edu/geomatics/ (Fort Lauderdale campus) or http://sfrc.ifas.ufl.edu/geomatics/ (Gainesville campus).
Basic of remote sensing
Subject: Geology Paper: Remote sensing and GIS Module: Basic of remote sensing Content Writer: Atiqur Rehman
Views: 60350 Vidya-mitra
Hyperspectral Remote Sensing
Analysis of narrow spectral bands from the Hyperion satellite sensor
Views: 2542 NRM641RemoteSensing
how to interpret Landsat8 to Land Cover Map Using Arcgis 10.5! this more easier that using Envi App.
Hi Guys! In this video you'll getting to know how to interpret landsat8 to Land Cover Map using Arcgis 10.5. This is the amazing tool that I want you all to know and it work very easy. before doing that process, may sure that you have downloaded Landsat8 already in your computer. if not, I recommend you check my next video on how to download Landsat8 for free before jumping to this video.
Views: 10034 Drone GIS Mapping
Remote Sensing - Shanna Pitter
Shanna Pitter, Atmospheric Science graduate student, is working to develop an algorithm from the retrieval of liquid cloud water from passive microwave sensors. She hopes to eventually work for NASA or other government agencies developing new ways to gather and interpret data via satellites.
Agriculture Monitoring with Landsat 8 - Data Continuity Mission
This webinar explains design strategy and workflow used to observe agriculture growth using free imagery from Landsat 8 data continuity mission.
Views: 3942 Arfan Sohail
How to calculate  NDWI using ArcGis
Normalized Difference Water Index (NDWI) The Normalized Difference Water Index (NDWI) is a new method that has been developed to delineate open water features and enhance their presence in remotely-sensed digital imagery. The NDWI makes use of reflected near-infrared radiation and visible green light to enhance the presence of such features while eliminating the presence of soil and terrestrial vegetation features. It is suggested that the NDWI may also provide researchers with turbidity estimations of water bodies using remotely-sensed digital data. Values description: Values of water bodies are larger than 0.5. Vegetation has much smaller values, which results in distinguishing vegetation from water bodies easier. Built-up features have positive values between zero and 0.2.
Views: 21979 Géo Tech
Principal Component Analysis (PCA) in ArcGIS (GIS Tutorial)
Tutorial about how to perform Principal Component Analysis or PCA to get the optimum spectral information from multispectral or hyperspectral satellite imagery, performed in ArcGIS version 10.6
Views: 4180 GEO 2004
Application of remote sensing in Geology
Subject: Geology Paper: Remote sensing and GIS Module: Application of remote sensing in Geology Content Writer: Atiqur Rehman
Views: 13355 Vidya-mitra
RS3.4 - Infrared remote sensing
This video is part of the Australian National University course 'Advanced Remote Sensing and GIS' (ENVS3019 / ENVS6319).
Views: 1577 Albert VanDijk
SAR Tutor: E-Learning on Radar Basics and SAR
http://www.skyradar.com/e-learning-radar-basics-and-synthetic-aperture-radar/ The e-Learning courses Radar Basics and SAR Basics were developed with the focus on Radar Image Interpretation. Radar Basics: This e-learning course includes six e-learning modules, covering the principles of radar and how to interpret radar images of airports, harbors or industrial facilities. It also includes valuable information on how to identify of specific types of industrial building objects in radar-based aerial images. Electromagnetic Waves Operation Mode Image Acquistion Radar Effects Image Resolution RAR Systems SAR Basics: This e-Learning Course includes 4 e-Learning modules, starting with the SAR principles around the Doppler Effect and guiding right up to procedures of SAR image interpretation and object oriented interpretation. Doppler Effect SAR Resolution Operation Mode SAR Processing
Views: 25884 SkyRadar
Coring & logging data interpretation
This video is considered as an educational video used for non-profitable purpose for all petroleum and non-petroleum students in BUE (The British University in Egypt) and any other user for YouTube who search for petroleum engineering study materials, this channel and videos are private for SPE BUE by it's project "Interactive Video Learning"
Views: 2924 SPEBUE IVL
GIS data structure- raster vs vector
Subject: Geology Paper: Remote sensing and GIS Module: GIS data structure- raster vs vector Content Writer: Atiqur Rahman
Views: 10984 Vidya-mitra
Monitoring Water-Related Diseases in Africa with Remote Sensing Data and Local Information
The project aims at monitoring the incidence of water-related diseases like diarrhoea in Africa by correlating Remote Sensing (RS) data and local information such as the attendance of students. To achieve this goal, RS data (hyperspectral) will be collected on catchment areas in Malawi. The RS datasets will be processed to monitor the quality of water according to quality indicators suggested by experts. Maps of water quality will be produced. This information will be correlated with local information coming from local teachers who will be provided with smartphones to send us information about daily disease incidence amongst their students.
Using Soil Data from the USDA Geospatial Data Gateway in ArcGIS
This video will explain how to download soil survey spatial and tabular data from the Geospatial Data Gateway (https://gdg.sc.egov.usda.gov/) and how to use the soil data viewer add in for ArcGIS to analyze this data. Note that you will need Microsoft Access, ArcGIS, and the USDA Soil Data Viewer addin for ArcGIS (downloadable at http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd337066#install) Note that processing and loading times in the video were cut for the sake of brevity. In reality it may take some time to download and process the data involved.
Views: 10518 Lochner Innovates