Contents & References of Integration of satellite images and GIS information to prepare land form map, tides and 3D model
List:
Table of Contents
Title..Page
Introduction..1
Chapter One (General) ..3
Introduction..4
Problem Statement..4
Main Research Questions..5
The Importance and Necessity of Conducting Research..5
Basic Objectives Research..6
Research hypotheses..6
Necessity of using RS,GIS,GPS..6
1-7-1 Necessity of using geographic information system..6
1-7-2 Necessity of using remote sensing..7
1-7-3 Necessity of using global positioning system..8
Chapter two (research background) ..10
2-1 Introduction..11
2-2 The background of the research regarding the preparation of the landform map..11
2-3 The background of the research for the preparation of the three-dimensional model..16
The third chapter (selection range, materials and methods) ..22
3-1 Introduction..23
3-2 Selected area..23
3-3 Location of Jask city..23
3-4 Natural complications of Jask city..25
3-4-1 Beshagard mountains..26
3-4-2 Mangrove forests..26
3-4-3 Western and Eastern Jask bays..27
3-4-4 Rocks Sandy hills..28
3-4-5 Puraf hot springs..28
3-4-6 Sedij hot water..28
3-5 climate of Jask city..28
3-6 water resources in Jask city..29
3-6-1 underground water..29
3-6-2 Surface water..29
3-7 Vegetation, pastures and forests in Jask city..31
3-8 Satellite data..31
3-8-1 ETM+ data of Landsat 7 satellite..31
3-8-2 ASTER data of Terra satellite..33
3-9 Color combinations..34
3-10 Filters..35
3-10-1 Noise reduction filters..35
3-10-2 Edge detection filters..36
3-10-3 Majority filters..36
3-10-4 Principal component transformation (PCA) ..37
3-11 combining images..37
3-11-1 general steps of combining images at the pixel level..37
3-11-2 methods of combining images at the pixel level..38
3-11-2-1 Brovey method..38
3-12 vegetation indices..39
3-12-1 vegetation index Normalized difference (NDVI). 3D model..44
3-15 method of preparing map and tide chart of the area..47
3-15-1 Determining CRZ boundaries..48
Chapter four (data processing and results) Color..52
4-4 Vegetation determination using the normalized NDVI vegetation index formula: 57
4-5 Data fusion (Data Fusion) and coastal mode and legal range..66
4-10 Landform and tide map..69
4-11 three-dimensional model..70
Chapter five (general conclusion) ..73
General conclusion..74
Suggestions ..77
Resources..78
English abstract..80
List of figures
Title..page
Chapter Two
Figure 2-1: Flowchart of Khosravani's research method (1390) ..14
Figure 2-2: Flowchart of Iqbal's research method (2012) ..15
Figure 2-3: Flowchart of Sadeghi Naini Fard's research method (1385) ..17
Figure 4-2: A, stereo image of Tehran and B, digital health model of the region (Farazdel, 1391). 18
Figure 5-2: Flowchart of the research method of Baltsavir (2005). Beshagard in Jask city. 26
Figure 3-5: Mangrove forests in Jask.. 27
Figure 3-6: Jask Bay-shore of Oman sea..27
Figure 3-7: Jagin river bridge..29
Figure 3-8: Gabrik river..30
Figure 3-9: Sedich river bridge in hand. Construction..30
Figure 10-3: Vegetation of Jask region..31
Figure 3-11: Display of false color combination of Landsat images. 34
Figure 3-12: Red and infrared wavelength reflectance values ??along with NDVI values ??for two34
Figure 12-3: Red and infrared wavelength reflectance values ??along with NDVI values ??for two types of dry and fresh vegetation. 40
Figure 3-13: Collection of stereo image data by satellite www.satimaging.corp.com. 44
Figure 3-14: An example of a pair of stereo satellite images, District 22 of Tehran (Farazdel, 1390). 45
Figure 15-3: Images of the three-dimensional model of Zone 6 and Zone 2 of Tehran (Farazdel, 2010). 46
Chapter 4
Figure 4-1: The steps taken in this research. 51
Figure 4-2: Landsat RGB 321 true color image. 53
Figure 4-3: RGB false color image 742 Landsat.54
Figure 4-4: False color image of Landsat 432 RGB.55
Figure 4-5: False color image of RGB 321 ASTER.56
Figure 4-6: Image of NDVI index applied to Aster satellite images.57
Figure 4-7: Comparison of combined images and images before combination (false color combination) 234 Landsat).59
Figure 4-8: Unsupervised classification (a- Kmeans, b- Isodata). 61
Figure 4-9: Four implementations of different algorithms in the supervised classification method for Landsat images. 63
Figure 4-10: Four implementations of different algorithms in the supervised classification method for Ester images. 64
Figure 4-11: Roads identified from satellite images with high-pass filtering. 65
Figure 4-12: Graph of parameters of monthly tide statistics of Jask station in 1388. 66
Figure 4-13: Mosaicing of Landsat images. 67
Figure 4-14: Tide lines and legal coastal zone in satellite images.
Figure 4-15: Landform map of the area. 69
Figure 4-16: Cartosat1 stereo images of Jask city. 70
Figure 4-17: Landform map with topography of Jask city.
Source:
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Resources
1- Khosravani Zahra et al., 1390: Land use zoning in the eastern region of Isfahan using satellite images, Journal of Agricultural Sciences and Techniques and Natural Resources, No. 59.
2- Darvish Sefat Ali Asghar, 1390: Environmental assessment and planning with geographic information systems, Tehran University Publishing Institute.
3- Sadeghi Naini Fard, 1385: Feasibility of urban DSM production using 1:2000 maps, methodology, error checking and accuracy test.
4- Ziaian Firouzabadi Parviz, 1388: Preparation of the landform and tide map of Bushehr city using GPS, GIS, RS in the Coastal Regulatory Zone (CRZ), humanities textbook chapter, volume 14 no. 1.
5- Ali Mohammadi Abbas et al., 1387: Comparison of the spectral and spatial performance of image combining methods in the difference of different resolutions of multispectral and panchromatic images, Modares Humanities Quarterly, Volume 12, Number 2, Summer.
6- Fatemi Seyed Baqer and Rezaei Yusuf, 1389: Fundamentals of Remote Sensing, Azadeh Publications.
7- Farazdel Frank and Enami Razieh, 2013: Extracting the third dimension from World View2 satellite stereo images, Shahrnagar Magazine, numbers 56 and 57.
8- Farazdel Frank, 2013: Building a 3D model of the city using satellite images with high spatial resolution, Shahrnagar magazine, number 54.
9- Malamah Alizadeh Fateme et al., 1383: The effectiveness of remote sensing data (RS) in the preparation of landform maps and its role in environmental planning, Modares Humanities Quarterly, Volume 9, Number 4. 10- Baltsavias E, Li Zhang, Eisenbeis H, (2005) Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology Zurich. ETH-Hoenggerberg, CH-8093 Zurich, Switzerland
11- Benjamin W, (2011). Heumann, Satellite remote sensing of mangrove forests: Recent advances and future opportunities. 12- Coppin P, Jonckheere I, Nackaerts K, and Muys B. (2004). Digital change detection methods in ecosystem monitoring: a review. Int. J. Remote Sens. 25: 1565-1596. 13- Dharanijan. K, Kasinathapandian. P, Gurugnanam. B, Narayanan. R.M, Ramachandran. S. (2006) An Integrated study for the Assessment of Tsunami impacts: A case study of South Andaman Island, India using Remote Sensing and GIS. Coastal Engineering Journal vol.