What is remote sensing Class 11

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Remote sensing is the science of gathering information about objects from a distance without coming into physical contact with them. It thus include data gathered through photographs taken from air planes and satellites Remote Sensing Explained As we studied earlier, remote sensing is science-filled with technology that helps to gather data and to analyze a body without making any kind of physical contact. This technology is vastly used in sectors like hydrology, geography, ecology, glaciology, oceanology, geology

Remote -75% - Remote im Angebot

GlossaryChapters0:00 Introduction 0:24 What is Absorptance?The ratio of the radiant energy absorbed by a substance to the energy it receives. 0:50 What is t.. Mapping, Remote Sensing, and Geospatial Data What is remote sensing and what is it used for? 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) This Geography textbook for Class 11 is designed by NCERT and is very useful for students. Please also refer to the NCERT solutions for Class 11 Geography to understand the answers of the exercise questions given at the end of this chapter STAGES IN REMOTE SENSING Figure 7.2 illustrates the processes used Remote sensing is the acquiring of information from a distance. NASA observes Earth and other planetary bodies via remote sensors on satellites and aircraft that detect and record reflected or emitted energy. Remote sensors, which provide a global perspective and a wealth of data about Earth systems, enable data-informed decision making based.

Not often used for classification. Minimum Distance to Mean. Calculates the Euclidean distances of training data to form cluster centers (mean). Pixel is assigned to the closest cluster. Faster than Maximum Likelihood and all pixels get classified. But doesn't count for variability in classes and classes may overlap. Mahalanobis Distance The term remote sensing, first used in the United States in the 1950s by Ms. Evelyn Pruitt of the U.S. Office of Naval Research, is now commonly used to describe the science -- and art -- of identifying, observing and measuring an object without coming into direct contact with it. This process involves the detection and measurement of. Remote sensing is the science and art of identifying, observing, and measuring an object without coming into direct contact with it. This involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials, by which they may be identified and categorized Usually, remote sensing is the measurement of the energy that is emanated from the Earth's surface. If the source of the measured energy is the sun, then it is called passive remote sensing, and the result of this measurement can be a digital image (Richards and Jia, 2006) Remote sensing is the science of obtaining information about objects or areas from a distance, typically from aircraft or satellites. A Lidar (Light Detection and Ranging) image created with data collected by NOAA's National Geodetic Survey. Remote sensors collect data by detecting the energy that is reflected from Earth

Introduction of Remote Sensing Notes & NCERT Solutions for CBSE Class 11 Introduction to Remote Sensing Remote sensing is defined as the total processes used to acquire and measure the information of objects and phenomena of the earth's surface and atmosphere using sensors onboard airborne or space borne platforms Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation. The term is applied especially to acquiring information about the Earth and other planets Introduction To Remote Sensing e. Detection of Reflected/Emitted Energy by the Sensor: The sensors recording the energy that they receive are placed in a near- polar sun synchronous orbit at an altitude of 700 - 900 km. These satellites are known as remote sensing satellites (e.g. Indian Remote Sensing Series) 11 Atmospheric blinds: The wavelength which are Blocked by the atmosphere. Atmospheric windows: The wavelength which can pass through the atmosphere. EMR • The foundation of remote sensing technology is based on the measurement and interpretation of the patterns of EMR. • EMR is a dynamic form of energy. EMR transmit cross space i Remote sensing is a better technique than traditional methods because: It presents the concise picture of a large area. It provides real or nearly real pictures on time base line. It is less expensive as compared to land survey and we can easily collect information by using it

NCERT Class 11 Geography Introduction To Remote Sensing

NCERT Solutions Class 11 Geography Chapter 7 Introduction To Remote Sensing. Here on AglaSem Schools, you can access to NCERT Book Solutions in free pdf for Geography for Class 11 so that you can refer them as and when required. The NCERT Solutions to the questions after every unit of NCERT textbooks aimed at helping students solving difficult questions Lesson Ideas: Remote Sensing. Learning Activities. A Lesson On Heat Absorption Using Data from Temperature Sensors. Thinking about the materials science experiment on the FunCube satellite, I wanted to find a way to explore an aspect of the materials science experiment on heat absorption in the classroom without the FunCube orbital constraints. Remote sensing is a method of obtaining information about the properties of an object without coming into physical contact with it. 5 1. REMOTE SENSING PLATFORMS AND SENSORS D.UDAY KUMAR, LECTURER, NBKRIST,VIDYANAGAR. 2. ORBITS OF REMOTE SENSING SATELLITE: Satellite is any object man made or natural that revolves around the earth TYPES OF ORBITS: • Low Earth Orbit (LEO) < 2000 km • Medium Earth Orbit (MEO) 2000-35786 km • High Earth Orbit (HEO) > 35786 km. 3

The a simplified version of the max likelihood classifier, also commonly referred to as discriminant analysis in remote sensing. Second, given a sample data point (feature vector x), compute the probability density of that feature vector for each class (using each class's respective parameters). Note: For clarity, this first equation of the max likelihood classifier is simplified and. detector cells detected. In a typical remote sensing image, the pixel values represent the number of photons of a certain wavelength (or range of wavelengths) that are recorded by the detector. Actually, it is more true to say that most remote sensing images merely start off this way

This course provides an introduction to remote sensing - the acquisition of information about the earth from a distance, typically via airborne and spaceborne sensors. The abundance of earth observation data allows us to address many pressing environmental, geographical, and geological issues The remote sensing techniques involve amassing knowledge pertinent to the sensed scene (target) by utilizing electromagnetic radiation, force fields, or acoustic energy by employing cameras, microwave radiometers and scanners, lasers, radio frequency receivers, radar systems, sonar, thermal devices, seismographs, magnetometers, gravimeters, scintillo­meters and other sensing instruments Brilliant Remote Sensing Labs (BRS-Labs) is the first company worldwide that developed a full online educational program in the field of Remote Sensing and Satellite Image Processing that includes education, evaluation, testing and certification, through its Remote Sensing Portal. BRS-Labs is a Developing Education Partner of Hexagon Geospatial Über 7 Millionen englischsprachige Bücher. Jetzt versandkostenfrei bestellen

Introduction To Remote Sensing(class 11 practical

  1. Chapter 5. Introduction to Remote Sensing 5.1 What is Remote Sensing Remote sensing is the science (and to some extent, art) of acquiring information about the Earth's surface without actually being in contact with it. This is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information
  2. Introduction to Remote Sensing Lecture 11 Remote Sensing So far, we have aimed to answer the following questions: Why use the technique (remote sensing)? - A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 4f9430-Mzk2
  3. 4.1.2. Remote Sensing definition ¶. A general definition of Remote Sensing is the science and technology by which the characteristics of objects of interest can be identified, measured or analyzed the characteristics without direct contact (JARS, 1993).. Usually, remote sensing is the measurement of the energy that is emanated from the Earth's surface
  4. Video created by University of California, Davis for the course Imagery, Automation, and Applications. In this module, we'll learn all about remote sensing and satellite imagery, starting out with an introduction to remotely sensed data and the.
  5. ation of digital images--sometimes to produce a final product, other times as one of several analytical procedures applied to derive information from an image
  6. One-class remote sensing classification: one-class vs. binary classifiers Xueqing Denga,b, Wenkai Li a, Xiaoping Liu , Qinghua Guoc and Shawn Newsamb aGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China; bElectrical Engineering & Computer Science, University of California at Merced, Merced, CA, USA.

Remote Sensing and GIS - Applications of Remote Sensing

  1. Online Remote Sensing Classes. We offer five online courses focused on key topics for geospatial professionals who are getting started in remote sensing and earth observation, or building on an existing image analysis skillset. Each class is shown here, with links to their open course content and syllabi, as well as short descriptions to help.
  2. gis 21 digest 15 uav 14 дайджест 14 бпла 13 події 13 geodigest 12 геодайджест 12 Remote Sensing 11 news 11 remote sensing 10 ENVI 10 новини 10 drone 9 дрон 9 ArcGIS Online 8 web-mapping 8 освіта 8 events 8 OpenStreetMap 7 open data 7 відкриті дані 7 RS 7 education 7 open source 6 GIS-forum.
  3. Remote sensing is the common name for all methods used to collect data at a distance from the object under study by some kind of recording device. The use of remote sensing techniques is increasing rapidly, finding new fields of application as technology advances in developing the remote sensing systems
  4. You just clipped your first slide! Clipping is a handy way to collect important slides you want to go back to later. Now customize the name of a clipboard to store your clips
  5. Chapter 07: Introduction To Remote Sensing of Practical Work in Geography book - Chapter 7 Introduction To Remote Sensing You have read about aerial photography in chapter 6. If you have carefully gone through its contents, you would have appreciated that it is an extension of the observation and recording capabilities of the human eyes. You may also have noticed that the photographic system.
  6. utes to process and turn around data to first responders Deployment Simplified: Once on-scene collect chemical, radiological, or situational dat
  7. Remote sensing is an art and science of obtaining information about an object or feature without materials, so that we can identify and categorize these objects by class or type, substance and spatial distribution [American Society of Photogrammetry, 1975]

2. It can retrieve large amounts of data: Remote sensing technology is designed to collect and retrieve large amounts of data regarding an object or a phenomenon. The data could be about various aspects of the object including its position on the earth's surface. 3. It reduces manual field work dramatically: Remote sensing technology relies upon technical instruments to collect data over. Remote Sensing is a peer-reviewed, open access journal about the science and application of remote sensing technology, and is published semimonthly online by MDPI. The Remote Sensing Society of Japan (RSSJ) and the Japan Society of Photogrammetry and Remote Sensing (JSPRS) are affiliated with Remote Sensing, and their members receive a discount on the article processing charge Important Details of the ISRO Free Online Course on Remote Sensing Technology. Participating school students need to be aware of the following important details with regard to the ISRO free online course on Remote Sensing Technology: This course is only for school students from classes 10 to 12

What is remote sensing ? from Geography Introduction to

GIS and Remote Sensing Workshops (GIS) Due to the increasing number of GIS & Remote Sensing training opportunities on the open market, our program no longer supports a workshop developed specifically for natural resource professionals Remote Sensing and Geospatial Data Analytics Online Graduate Certificate A 4-course, 12-Credit Online Graduate Certificate Program. Unprecedented growth in the use of satellite, aircraft-based, and drone sensor technologies to detect and classify objects on Earth is transforming the way business is being conducted around the globe Free PDF download of UP Board Solutions for Class 11 Geography : Practical Work in Geography chapter 7 Introduction to Remote Sensing. All the questions that are asked in UP board exams are completely based on UP Board Books. So it is must that students should have good knowledge over UP Board Books

Remote sensing: principles, electromagnetic spectrum, components and applications Remote sensing, also called earth observation, refers to obtaining information about objects or areas at the Earth's surface without being in direct contact with the object or area. Humans accomplish this task with aid of eyes or by the sense of smell or hearing; so, remote sensing. Remote sensing provides the immense scope of exploring, analyzing, distinctive, and monetization of undeveloped regions.[/su_highlight] What is Remote Sensing? Remote sensing is just outlined because of the scanning of the world by satellite or high-flying craft so as to get info regarding it remote sensing - obtaining information regarding any place or an object without actually establishing direct contact with it is called remote sensing. physiography - nature and slope of land and undulating1 topography2 a region becomes devoid of any transport route. Question 4. Why does a dense network of transportation develop in some regions Imagery integrated with GIS. Turn Earth observations into powerful insights. Drone, aerial, and satellite imagery and other types of remotely sensed data are opening new frontiers in nearly every facet of life and industry. Enhance your ability to understand the planet and the problems you face by putting these massive data volumes to work. Turbidity and Suspended Matter. Turbidity is a measure of light scattering caused by suspended particles in natural waters. It is a measure of water clarity, and high levels of turbidity generally indicate poor water quality. Turbidity usually is reported in units of formazin turbidity units (FTU) or the equivalent nephelometric turbidity units.

Remote Sensing - Explanation, Fundamentals, Types, and

Many classification approaches commonly used in the field of remote sensing such as, for example, maximum likelihood or random forest (RF, Breiman, 2001) are actually based on calculating class probabilities and discretize the membership in the last step, therefore in these cases, a fuzzy output is a by-product at no extra processing cost. 3. REFERENCES American Society for Photogrammetry and Remote Sensing (ASPRS), 2013. ASPRS Accuracy Standards for Digital Geospatial Data (DRAFT), PE&RS, December 2013, pp 1073-1085. American Society for Photogrammetry and Remote Sensing (ASPRS)

Remote Sensing Services Market - The report Remote Sensing Services Market by Platform (Satellites, UAVs, Manned Aircraft, and Ground), End User (Defense and Commercial), Resolution (Spatial, Spectral, Radiometric, and Temporal), and Region - Global Forecast to 2022, The remote sensing services market is estimated to be USD 10.68 Billion in 2017 and is projected to reach USD 21.62 Billion by. Microwaves are defined as electromagnetic radiations with a frequency ranging between 300 MHz to 300 GHz while the wavelength ranges from 1 mm to around 30 cm. The microwave radiation is commonly referred to as microwaves. They fall between the infrared radiation and radio waves in the electromagnetic spectrum

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used The Unsupervised Classification dialog open Input Raster File, enter the continuous raster image you want to use (satellite image.img). Check Output Cluster Layer, and enter a name for the output file in the directory of your choice.. Under Clustering, Options turned on Initialize from Statistics option. Select the K-means clustering algorithm method, and enter the number of class 10 Color Infrared (Vegetation) Vegetation pops in red, with healthier vegetation being more vibrant in this band combination. It is easier to tell about different types of vegetation apart than it is with a natural color image. This is a very commonly used band combination in remote sensing when looking at vegetation, crops, and wetlands For example, the Earth Observer 1 (EO1) system provided a test-bed for new sensor technology and spaceborne hyper-spectral remote sensing. Similarly the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor has provided coarse resolution thermal data collocated with MODIS data for improved surface characterization and. 1976) class accuracy of 80.4 percent and an Anderson Level II class accuracy of 55.7 percent (Stehman and others, 2003; Wickham and others, 2004). For the conterminous United States, NLCD 2001 has an improved Anderson Level I class accuracy of 85.3 percent and an Anderson Level II class accuracy of 78.7 percent (Wickham and others, 2010)

What is remote sensing and what is it used for? - USG

  1. UAF Class GEOS 657 GEOS 657 -MICROWAVE REMOTE SENSING SPRING 2019 Lecturer: F.J. Meyer, Geophysical Institute, University of Alaska Fairbanks; fjmeyer@alaska.edu Lecture 12: Concepts of InSAR and Its Application to Mapping Topograph
  2. to the LIDAR and hyperspectral remote sensing systems. The course consists of instructor-led lectures, lab assignments, article review and discussion, and an independent research project
  3. The Remote Sensing Certificate will be awarded based on a written request by the student to the Remote Sensing Earth Space Science Focus Lead or Graduate Chair, provided that the following requirements have been met: Four courses are required totaling at least 12 credits, with grades of B or better
  4. ar pixel groups. In remote sensing images, large quantity of texture information is present. So, it is difficult and time consu
  5. 1. Define and describe remote sensing and explain its applications and history. 2. Define and describe basics of electromagnetic spectrum and interactions with various types of media. 3. Describe sensors and image acquisition methods. 4. Analyze and explain remote sensing purposes, advantages, and limitations. 5
  6. GEOG 883: Remote Sensing Image Analysis and Applications. A graduate-level course focusing on remotely sensed data for geospatial applications. This course assumes that students have prior knowledge in the basics of remote sensing, mapping, and GIS, and have experience with geospatial software, particularly ArcGIS

11.1. Introduction. The last years have witnessed the emergence of a large variety of new sensors with various characteristics. The possibility to collect different kinds of observations over the same area has considerably increased: remote sensing can now be considered generically multimodal .Those sensors can use different modalities (radar, Lidar or optical) 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. European Journal of Remote Sensing - 2014, 47: 389-411 doi: 10.5721/EuJRS20144723 Received 12/03/2014, accepted 12/05/2014 European Journal of Remote Sensing An official journal of the Italian Society of Remote Sensing labels the pixel to the class type according to decision rules [Lillesand et al., 2004]. The SPOT HRV multispectral sensor does not have a blue band. The three bands, XS1, XS2 and XS3 correspond to the green, red, and NIR bands respectively. But a reasonably good natural colour composite can be produced by the following combination of the spectral bands: R = XS2. G = (3 XS1 + XS3)/4. B = (3 XS1 - XS3)/4

Open up the image 'watershed.img' that you created from a previous lab in a viewer. Click on the Raster tab -> Classification -> Unsupervised button -> Unsupervised Classification. For the input raster field navigate to 'watershed.img'. For the Output Cluster field navigate to the folder where you want the output saved and give it. Remote Sensing Tutorials Image interpretation & analysis A human analyst attempting to classify features in an image uses the elements of visual interpretation (discussed in section 4.2) to identify homogeneous groups of pixels which represent various features or land cover classes of interest Object-based classification can take advantage of a variety of data beyond remote sensing imagery, such as elevation data in the form of a digital elevation model (DEM). The input data must be summarized for each of the segments by computing zonal statistics, typically the mean, for each segment Image classification in the field of remote sensing refers to the assignment of land cover categories (or classes) to image pixels. For instance, land cover data collections and imagery can be classified into urban, agriculture, forest, and other classes for the sake of further analysis and processing Event date October 17, 2017 12 - 1pm. Come learn about satellite remote sensing, and get an overview of the many ways to process satellite imagery. There will be demos in ENVI and ArcGIS software, both of which are available in the GIS Lab. Note: Additional presentation times will be added based on demand

View PDF NCERT Class 11 Geography Introduction To Remote

The term remote sensing is commonly used to describe the science—and art—of identifying, observing, and measuring an object without coming into direct contact with it. This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials, by which they may be identified and categorized by class/type, substance. The term Remote Sensing, in this instance, describes the use of satellite imagery to make discernment's about landscape phenomena. Thermal bands 10 and 11 are useful in providing more. The following projects are based on remote sensing. This list shows the latest innovative projects which can be built by students to develop hands-on experience in areas related to/ using remote sensing. 1. Groundwater Exploration using Remote Sensing and GIS. The need for groundwater is an important thing for the existence of human society

What is Remote Sensing? Earthdat

  1. Remote sensing is defined, for our purposes, as the measurement of object properties on the earth's surface using data acquired from aircraft and satellites. It is therefore an attempt to measure something at a distance, rather than in situ. While remote-sensing data can consist of discrete, point measurement, or a profile along a flight path.
  2. For remote sensing, this allows the swath of the sensors to cover all of Earth's surface eventually. For example, the ground track covering an 8-hour interval for the TOPEX satellite (which measures ocean height and temperature) is shown below (image courtesy of the Jet Propulsion Laboratory). Here the colors indicate ocean height
  3. 2. Overview of satellite remote sensing. Satellite remote sensing emerged as a successor of aerial remote sensing during the 1960 s with the Explorer, TIROS (Television Infrared Observation Satellite) series, Corona, and later with Landsat missions, among others (Lettenmaier et al., 2015).The process of remote sensing is initiated with electromagnetic radiations from the Sun (passive remote.
  4. Mapping, Remote Sensing, and Geospatial Data What are the best Landsat spectral bands for use in my research? The Spectral Characteristics Viewer is an interactive tool that can be used to visualize how the bands--or channels--of different satellite sensors measure the intensity of the many wavelengths (colors) of light
  5. 11.7 Maximum Likelihood Classifier. The maximum likelihood classifier is one of the most popular methods of classification in remote sensing, in which a pixel with the maximum likelihood is classified into the corresponding class.The likelihood Lk is defined as the posterior probability of a pixel belonging to class k.. Lk = P(k/X) = P(k)*P(X/k) / P(i)*P(X/i
  6. Nowadays, remote sensing tools have been developed for a wider range of projection, absorption and transmission of such topography. Chapter seven of NCERT Geography Practical Work in Geography book Class 11 unveils an elaborate discussion on remote sensing
  7. Remote sensing images are representations of parts of the earth surface as seen from space. The images may be analog or digital. Aerial photographs are examples of analog images while satellite images acquired using electronic sensors are examples of digital images. A digital image is a two-dimensional array of pixels

New remote sensing technique could bring key planetary mineral into focus. A mountain peak at the center of the Moon's Copernicus Crater has an abundance of olivine, a mineral that can help. Setra Systems makes a range of pressure sensors for ventilator manufacturing and testing. Setra's pressure transducers are made in the USA and trusted by top OEMs around the world. Due to the COVID-19 pandemic, ventilators are in more need than ever. Setra stands ready to help manufacturers determine the best pressure sensors for use on. What is remote sensing • Remote Sensing: remote sensing is science of - acquiring, - processing, and - interpreting images and related data that are obtained from ground-based, air-or space-borne instruments that record the interaction between matter (target) and electromagnetic radiation. • Remote Sensing: using electromagnetic spectrum to image the land, ocean, and atmosphere

Remote Sensing - Image Classification Flashcards Quizle

  1. Basics of Remote Sensing, Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) is a 15 week course conducted by IIRS, ISRO. The course constitutes 75 learning hours spread across four modules namely Basics of Remote Sensing, Global Navigation Satellite System, Geographic Information System and Applications of Geopspatial technology
  2. Remote Sens. 2019, 11, 1764 4 of 19 Where '1 and '2 have constant values and can be calculated from Equations (8) and (9). Obviously, aphy is needed to compute aPC at 620 nm, but it cannot be accurately measured via remote sensing measurements [28,29]. Although it is possible to estimate aphy from remote sensing measurements, recent reviews on this topic have shown that a simple band ratio.
  3. The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous.
  4. In this paper, Supervised Maximum Likelihood Classification (MLC) has been used for analysis of remotely sensed image. The Landsat ETM+ image has used for classification. MLC is based on Bayes' classification and in this classificationa pixelis assigned to a class according to its probability of belonging to a particular class. Mean vector and covariance metrics are the key component of MLC.
  5. LAS Specification v.1.4 - R15 American Society for Photogrammetry & Remote Sensing 1Introduction 1.1Purpose, Scope, and Applicability The LASer (LAS) file is intended to contain point cloud data records, including those derived from lidar or other sources. The data will commonly be put into this format from software (e.g.
  6. 8. Photogrammetry: see relevant questions in homework and midterm 9. What are key elements of aerial photography visual interpretation? Give an example of each. 10.Explain the multi-concept in both visual interpretation and digital image classification. 11.What is being sensed by remote sensing instruments? 12.On a sketch of the electromagnetic spectrum label the approximate positions of the.
  7. data acquired by means other than remote sensing that are used to assist in the classification or analysis. ANN. spectral angle mapping; compare each pixel in the image with each spectral class, then assign a value between 0 (low resemblance) and 1 (high) to each pair
John Towner Williams (born February 8, 1932), American

BRINGING REMOTE SENSING OF PRECIPITATION INTO YOUR CLASSROOM: TRMM—TROPICAL RAINFALL MEASURING MISSION Dr. Michael J Passow Dwight Morrow High School Englewood, NJ USA •Weather is felt locally, created globally, and best understood regionally. Each of us is affected b How much knowledge do you have about the remote sensing technology? Remote sensing is the act of observing the radiation or a given area at a distance using unique cameras or satellite cameras that receive images and data in intervals or in real-time. Do you know the journey that this technology had taken over time since the creation of cameras? Well, take the quiz and see for yourself If you have any query regarding UP Board Solutions for Class 11 Geography: Practical Work in Geography Chapter 7 Introduction to Remote Sensing (सुदूर संवेदन का परिचय), drop a comment below and we will get back to you at the earliest