Lecture 2: Data Acquisition LSGI3242A – Digital Terrain Modelling (Courtesy to Prof. Zhilin Li. Please note that this set of slides is for internal use only. The citations are not appropriately done due to time constraints.) Objectives 1. 2. 3. To outline different types of data sources. To describe different types of data acquisition techniques. To discuss the accuracy of data from different sources. 2 1. Data Sources Terrain surfaces (direct measurements) Images (aerial/space/terrestrial platforms) Existing maps 3 Different techniques for different sources Field surveying by using total station theodolite and GPS (global positioning systems) for direct measurement from terrain surfaces. Cartographic digitization by using existing topographic maps and digitisers. Photogrammetry by using stereo-pairs of aerial (or space) images and photogrammetric instruments Laser scanning: actively providing its own illumination in the form of lasers SAR: radargrammetry, interferometry and radarclinometry, actively providing its own illumination in the form of microwaves 4 Direct measurement on the terrain surface The continents occupy 29.2% of the earth’s surface. Relief varies from place to place, and is covered by natural and cultural features, apart from water Different measurement techniques may be used because some techniques may be less suitable for some areas. 5 From aerial and space images Aerial images are the most effective way to produce and update topographic maps the most valuable data source for large-scale production of high-quality DTM. taken by analogue/digital cameras mounted on aerial planes. 6 From aerial and space images Aerial photographs can be classified into different types based on different criteria: 1. Based on colour: hyperspectral, multispectral and monochromatic (or panchromatic) photographs 2. Based on the attitude of photography: vertical (i.e. main optical axis vertical), tilted(3), and oblique (>3) photographs. Commonly used aerial photographs are tilted photograph Source: Geodetic Alignment of Aerial Video Frames 7 Types of aerial photographs based on angular field of view 3. Based on angular field of view: normal, wide angle and super wide angle photography 8 Aerial camera and aerial photography Aerial photo (negative) f Perspective centre (lens) Aerial photo (positive) H Main optical axis (a) An aerial Camera (b) Geometry of aerial photography the scale of the aerial photograph: 9 Form in analogue form – recorded on films;and in digital form – scanned/CCD (chargecoupled device) camera Acquisition photogrammetry airborne scanners space images radar Source: William Emery, Adriano Camps, in Introduction to Satellite Remote Sensing, 2017 10 From existing topographic maps Every country has topographic maps and these may be used as another main data source for digital terrain modelling These form a rich source of data for digital terrain modelling But for some developing countries, the data sources maybe poor A topographic map 11 From existing topographic maps The largest scale of topographic maps which cover the whole country with contour lines is usually referred to as the basic map scale. It indicates the best quality of DTM that can be obtained from existing contour maps. Some basic map scales : China 1:50 000 UK 1:10 000 USA 1:24 000 topographic maps the metric quality contour map density of contour lines and the accuracy of the contour lines themselves 12 Topographic maps at different scales Map scales and commonly used contour intervals Source: Konecny, G., Bahr, H., Reil, W., and Schreiber, H. 1979. Use of Spaceborne Metric Camera for Cartographic Applications. Report to the Ministry of Research and Technology of FRG. 13 Map scales and commonly used contour accuracy In general, it is expected that the height accuracy of any point interpolated from contour lines will be about to 1/2 to 1/3 of the contour interval (CI) 14 2. Data Acquisition Techniques 2.1 Photogrammetry The word photogrammetry comes from Greek words photos (meaning “light”), gramma (meaning that which is drawn or written) and metron (meaning “to measure”). It originally signified measuring graphically by means of light (Whitmore and Thompson, 1966) Photogrammetry and Remote Sensing is the art, science, and technology of obtaining reliable information from noncontact imaging and other sensor systems about the Earth and its environment, and other physical objects and processes through recording, measuring, analyzing and representation http://www.isprs.org/isprs.html 15 A pair of aerial photographs with 60% overlap overlapping fiducial mark 16 The development of Photogrammetry In 1849, A. Laussedat, an officer in the Engineering Corps of the French Army, is regarded by many as the “father of photogrammetry” Photogrammetry has undergone four stages of development, each of these cycles are approximately 50 years long: Plane table photogrammetry 1850 ~ 1900 Analog photogrammetry 1900 ~ 1960 Analytical photogrammetry 1960 ~ present Digital Photogrammetry 1990 ~ present 17 (a) Optical plotter (b) Optical-mechanical plotter (c) Analytical plotter (d) Digital photogrammetric workstation 18 Photogrammetry Forest inventory with photogrammetric point cloud https://www.youtube.com/watch?v=DfYJiYupjgA Stereo plotter https://www.youtube.com/watch?v=HD9iMTjtmY8 19 The characteristics of the four stages of photogrammetry 20 Basic principles The fundamental principle of photogrammetry is to make use of a pair of stereo images (or simply stereo pair) to reconstruct the original shape of 3D objects Lateral overlap forward overlap 21 A pair of aerial photographs with 60% overlap overlapping fiducial mark 22 To measure the 3-D coordinates of the objects on the stereo model Two overlapping photographs 3D model stereocomparator 23 Collinearity equation S1 S2 a a’ xf a1 ( X A X S ) b1 (Y A YS ) c1 ( Z A Z S ) a3 ( X A X S ) b3 (Y A YS ) c3 ( Z A Z S ) y f a 2 ( X A X S ) b2 (Y A YS ) c 2 ( Z A Z S ) a3 ( X A X S ) b3 (Y A YS ) c3 ( Z A Z S ) Z Y X A A stereo-model is formed by projecting images points from a stereo pair The mathematical express 24 About the mathematical expression In the mathematical expression, XYZ is a geodesic coordinate system; and (i=1,2,3) are the functions of the three angular orientation elements (i.e. φ, ω, κ) as follows: a1 cos cos sin sin sin b1 cos sin sin sin cos c1 sin cos a 2 cos sin b2 cos cos c 2 sin a3 sin cos cos sin sin b3 sin sin cos sin cos c3 cos cos 25 Basic orientations Interior orientation using fiducial marks’ image coordinates to unify the image coordinate system Relative orientation to restore the stereo model by removing the Y parallax using at least 6 points’ observations Absolute orientation to scale and orient the stereo model based on the GCP 26 Epipolar geometry Each pair of bundle rays must be coplanar with the base 27 DPW: Digital Photogrammetric Workstation VirtuoZo Automatic image processing: matching 28 GPS/INS for georeferncing Towards: On-the-fly processing Real-time photogrammetry 29 2.2 Radargrammetry and SAR Interferometry Radargrammetry acquires DTM data through the measurement of parallax InSAR acquires DTM data through the determination of phase shifts between two echoes;and Radarclinometry acquires DTM data through shape from shading Space Shuttle Endeavour 30 Synthetic Aperture Radar (SAR) Synthetic aperture imaging radar (SAR) is a microwave imaging radar developed in the 1960's to improve the resolution of traditional (real aperture) radar It receives and records echos reflected by the target, and then maps the intensity of the echo into a grey scale to form an image. It is able to take clear pictures day and night under all weather conditions 31 Synthetic Aperture Radar (SAR) L Flying track (Orbit) w Antenna Antenna Image Plane e f Slant range R Projected Orbit Flying Height Mid slant range Rm Far slant range Swath Near slant range H Nadir Y X Footprint Y Nadir Cross track Radar imaging geometry E F Cross Track Projection of radar image The angular fields in the flying direction and the cross track direction are related to the width (w) and the length (L) of the radar antenna 32 The resolution of the radar image The minimum distance between two distinguishable objects, the most important measure of radar image quality It is defined by the azimuth resolution in the flying direction (△x) and by the slant range resolution in the slant rage direction (△R) or the ground range resolution in the cross track direction (△y) △y decreases near to the nadir, it is the reason why SAR is always side-looking Resolution of radar images 33 The principle of SAR imaging The azimuth resolution (△x) is dominantly determined by the position and size of the antenna If a C-band microwave (5.66cm) real aperture radar onboard the satellite is employed to take images with an azimuth resolution of 10m from 785km away, the required length of its aperture is longer than 3km Imaging geometry of SAR 34 The principle of SAR imaging The azimuth resolution (△x) of the synthetic aperture radar (SAR) is much improved based on the principle of the Doppler frequency shift caused by the relative movement between the antenna and the target Indeed, it means that the azimuth resolution (△x) of a SAR is only determined by the length of the real aperture of an antenna, independent of the slant range R and the wavelength As a result, it is possible to acquire images with 5m azimuth resolution by an SAR with a 10m real aperture length onboard ERS-1/2 35 An example of the SAR image Direction of slant range Azimuth Pixel a b i a 2 b2 e i the plane coordinate system of the SAR image and the complex number expression of the pixel It is the use of phase information that makes InSAR technology special 36 Interferometric SAR (InSAR) A pair of SAR images of the same area taken at slightly different positions can be used to form an interferogram and the phase differences recorded in the interferogram can be used to derive topographic map of the earth’s surface. This technology is called Interferometric SAR (InSAR), or SAR interferometry USGS: Volcano Hazards Program 37 Principles of InSAR InSAR is a signal processing technique rather than an instrument at the present time It derives height information by using the interferogram Slant range Phase component Wavelength 38 Principles of InSAR 39 The process of DTM data acquisition by InSAR 40 An example of InSAR interferogram Latitude Longitude 41 Contour diagram of DTM of the same area (produced from DTM generated by InSAR) Coast line Taiwan Straits Latitude Longitude 42 Radargrammetry Similar to photogrammetry, radargrammetry is to form a stereo model for 3D measurement In radargrammetry, two SAR images collected with the same-side or opposite-side geometry are used to form the stereo model 43 DEM based on RADARSAT stereopair 44 Principles of Radargrammetry 3D reconstruction relies on determining the sensor-object stereo model searching for corresponding pixels from two overlapping SAR images using imaging matching techniques; and determination of 3D coordinates by solving the intersection problem 45 Stereo configuration of radargrammetry V1 V2 S2 S1 R2 S2 R1 S1 Z P P O Y X 46 Factors affect accuracy of DTM by radargrammetry terrain features such as topographic slopes geographical conditions and geometric distortions in relation to radar look angles; and intersection angles (oppositeside stereo configuration is superior to the same-side stereo) 47 22.6 Hong Kong ( ERS-1 SAR images ) 800 22.5 700 600 500 22.4 400 300 200 22.3 100 (a) on 2 Mar, 1996 (b) on 18 Mar, 1996 113.8 0 113.9 114.0 DTM generated by (a) and (b) 114.1 48 2.3 Airborne laser scanning (Lidar) ALS system: airborne LIDAR (LIght Detection And Ranging) An example of 3D city model acquired by Lidar 49 Introduction LiDAR stands for Light Detection And Ranging. Topographic airborne LiDAR is a laser profiling and scanning system for topographic applications emerged commercially in the mid-1990s. LiDAR does not only serve for topographic mapping applications. It also serves for meteorology and atmospheric environment applications. This course focuses on topographic airborne LiDAR remote sensing. 50 Introduction Mobile Mapping by Google Satellite LiDAR (NASA CALIPSO) Terrestrial LiDAR (Leica) Police Laser Gun Atmospheric LiDAR (SOR) 51 Airborne laser scanning system a laser range finder (LRF) a computer system to control the on-line data acquisition a storage medium a scanner, and a GPS/INS system for determining the position and orientation of the system 52 Airborne laser scanning system It is the type of materials hit by the pulses.The wavelength of the laser lies in, or just above, the visual range of the electromagnetic spectrum, i.e. in the range of 10401060 nm. 53 Laser Ranging The laser ranging is the instrument that constructs and emits the laser as aforementioned and records the returned laser pulse in order to derive the distance between the aircraft and the ground. To determine the range measurement, the time pulse method and the phase comparison method are commonly used. In the time pulse method, the distance between the range unit and the point of the reflected ground feature can be determined using the following equation:R t2 C 54 Laser Ranging where t is the traveling time of the laser pulse from the laser ranger to the reflected object and back from the reflected object to the laser ringer, c is the speed of the light and R is the range distance. If the laser transmits as continuous waveform (sinusoidal signal), the phase comparison method is used. The mathematical expression of phase comparison method: t T nT 2 where n is the number of full wavelengths, T is the period of the signal, Ø is the phase difference between the received and transmitted signal. By obtaining the value t , the range distance can be solved. 55 Laser Scanning The laser scanning device is an optical scanning mechanism with rotating mirror for cross track scanning (perpendicular to the flight direction) and makes a small footprint on the ground for each laser emission. 56 Laser Intensity Laser energy refers to the radiometric properties (or so called LiDAR intensity) in laser scanning. The laser energy is modelled by the laser range equation:- PT GT D 2 Pr atm sys 2 2 4R 4R 4 where Pr , PT = the received / transmitted laser power D = the aperture diameter (m); R = range (m) σ = effective target cross section GT = antenna gain (= 4π / θT2), θT is the transmitter beam width (θT = kλ / D), λ is the wavelength (m) and k = const. ηatm ,ηsys = losses due to atmosphere / system inefficiency 57 From laser point cloud to DTM The collected LiDAR data has the following fields: x, y, z, I, number of returns, return number, GPS time, etc (see LAS Specification). The process of acquiring ALS data: filtering--noise, outliers or gross errors classification--buildings or vegetation; and modelling Accuracy (depending on a number of factors): Vertical accuracy: 0.1 to 0.5 m Horizontal accuracy: < 0.3m 58 Obtained DTM from DSM using ground filtering Remove the above ground features: vegetation, buildings. 59 2.4 Cartographic digitisation Manual line following Automated Linefollowing Automated line following Manual scanning Manual Scanning Automated scanning Cartographic digitization methods 60 Line-following digitalization a mechanically-based digitisation system a solid-state digitising tablet An example of tablet digitizer 61 manual line-following digitisation operator doesn't need to do the line following data redundancy ; and the fidelity of the results to the original line 62 semi-automated line following devices An operator is still required to supervise the system execute various operations such as the initial positioning of the device on contours guide the device through areas of closely-packed contours and cliffs insert contour elevation values, etc. the system is very expensive 63 Raster scanning make fully automated digitisation possible Each line scan is divided into resolution units 0 -- if nothing is present 1 -- if there is a line Vectorisation follows can be manual (on-screen digitization) or automated Scan Head Scan Head X Map Y Map X Y drum scanners flat-bed (right) scanners 64 Examples Vector contour lines Original raster map 65 2.5 GPS for direct data acquisition The GPS satellite constellation 66 About GPS Global Positioning System Full name: NAVSTAR GPS (NAVigation Satellite Timing And Ranging Global Positioning System) Developed and owned by the US Department of Defense (DoD) Provides 24-hour world-wide positioning capability 67 GPS Segments Space segment GPS satellites orbiting around the earth and sending GPS signals to the earth Control segment Stations on the earth that monitor and control the satellites User segment Any body who has the devices (GPS receivers) to receive GPS signals 68 The principles of GPS measurement Principle: range intersection the positions of satellites 3 or more distances from the receiver to the satellites 卫星 卫星 卫星 The orientation principle of GPS 目标 69 To measure the distance Suppose a satellite sends a signal to a GPS receiver and it takes t seconds for GPS receiver to receive the signal D=c×( - ) Where D is the distance, represents the time when the satellite transmits the signal , represents the time when the signal reaches the GPS receiver, c is the velocity of light, i.e., 299,792,458 metres per second 70 Error in clock cause significant error in the distance computed make GPS receivers very expensive less popular GPS application Solution Assume a constant error between the clock in the GPS receiver and the clocks onboard the satellites A total of four or more satellites to be observed to determine the position of a point (x,y,z,t) Differential GPS (DGPS): the satellite clock error and atmospheric effects are diminished 71 Differential GPS and its service constantly compare the real position with the position given by the GPS system, use this error-information to improve GPS performance in a wide range (up to hundreds of kilometers) around the base station 72 Principles of traditional surveying techniques through the measurement of distances and/or angles by theodolites and computerised total stations P P D1 D A (a) From a known point A to determine the position of P A 1 D1 2 B (b) From 2 known points A and B to determine the position of P 73 3. A comparison between DTM data from different sources 74 End Q&A 75