Indentification and Mapping of Encroachment at Plot Level for Delhi-Saharanpur Road Housing Scheme of Uttar Pradesh Awas Vikas Parishad, Ghaziabad, India, using Worldview Satellite Data, GIS & GPS Techniques

DOI : 10.17577/IJERTV4IS010213

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Indentification and Mapping of Encroachment at Plot Level for Delhi-Saharanpur Road Housing Scheme of Uttar Pradesh Awas Vikas Parishad, Ghaziabad, India, using Worldview Satellite Data, GIS & GPS Techniques

Virendra Kumar1, Kamlesh Bhalavi1 & Anugya2 1Remote Sensing Applications Centre-Uttar Pradesh 2 Banasthali Vidyapith, Jaipur, Rajasthan

Abstract – In India, Cadastre represents a land parcel which reflects the entitlement of land holding , area of the land and landuse of that land parcel. In cities or in alignment of road on goverment/ privite land, encroachment/ unauthorized construction has become a common practice by people in our country. Therefore taking quantative information, like area and extent from these maps may sometimes give enormous information about the land holdings. Most importantly, acquiring the land and making a landuse plan for housing scheme requires the accurate information related to encroachment, keeping in view the objective of providing accurate information on encroachment at plot level, World View satellites 50 cm resolution data was used in present study. The study has been carried out in five villages in alignment/both side of Delhi-Saharanpur road housing scheme of Uttar Pradesh Housing Board, Ghaziabad, India. The study area covers 12.50 sq km, where housing scheme is proposed. It has been found that there is a lot of encroachment at various plot, which has been acquired by

U.P. Housing Board, Ghaziabad for development of resedential colony.

Key Words- World View Satellite High Resolution Data, Cadastre, Enroachment, GIS And GPS Techniques

INTRODUCTION

In India, Uttar Pradesh is the most populous state. Which is having 724 urban local bodies i.e. Nagar Panchayat / Nagarpalika Parishad / municipal corporations including cantonment board & industrial township and around 2.71 lakhs of villages as per Census of India, 2011, with 19.91 crore of total population. Various cities/ towns of the state have achieved the status of first class towns/ cities in the recent years and 7933 cities are reported in our country accordingly. (Kumar, V. 2012). Due to excessive pressure of population, rapid urbanization took place and as resultant, numbers of colonies has been developed by development authorities. These colonies has been taken up by urban local bodies as a resultant the urban density of the

state is now reported around 4937, where the average density of the state is 473 person per sq. km, and there is an increased need of housing in cities. In this context to fulfill the housing need, the role of urban planning agencies is becoming increasingly more complex and extending to a wider range of activities, thats why urban development authorities are acquiring land for development of colonies. (Gopalan, A.K.S. 2009), fine spatial resolution allows small objects to be seen and mapped, special choice of spectral bands enhances the discriminating ability between the land covers. Over the years satellite based remote sensing data have been successfully utilized for identification, mapping and monitoring of encroachment in conjunction with cadastral maps, Geographical Information System (GIS) and Global Positioning System (GPS). (Rao & Shekhar, 2000), In India, cadastre is the basic unit to provide plot wise reliable information regarding land holding/land revenue system. But unfortunately these cadastre are often quite old (above thirty years old) and still maintained on paper or cloth. Geo-referencing and overlaying of these cadastre on high resolution data can provide the accurate information on encroachment/unauthorized construction at each and every land holding. The present paper is an endeavor to analyze the plot wise encroachment/built-up area at Delhi- Saharanpur Road Housing Scheme of Housing Development Board, Ghaziabad, Uttar Pradesh, India. The digital database generated for the study area would be very useful for urban planners/decision makers for proper land use planning and management.

OBJECTIVES

The objective of the present study is identification and mapping of encroachment/unauthorized construction at proposed housing scheme of Delhi-Saharanpur Road of Awas Vikas Parishad, Ghaziabad, Uttar Pradesh India using high resolution remote sensing data cadastral maps,

Geographical Information System (GIS) and Global Positioning System (GPS) Techniques.

STUDY AREA Ghaziabad city is located in Western part of Uttar Pradesh the area lies between latitude 2804659.06N to 280502.196 N and longitude 770 1444.513E to 770 1728 E. (Fig.1).Which is spread over an area of 12.5 sq km approximately. The city is well connected rail/road transportation system with all parts/ cites of India due to nearest city point with New Delhi, the national capital of India. The study area also comes under national capital Region on Delhi- Saharanpur road. The present study has been taken for five villages (i.e Mandola, Panchlok,Milak,Bamla and Nanu), which are in both sides of delhi-Sarahnpur road near New Delhi.

Location Map of Study Area

Figure: 1

MATERIALS & DATA USED

  • Guide map of Ghaziabad city on1:20,000 scale.

  • Cadastral map of study area on 1:4,000 scales.

  • Worldview-2 Satellites (Pan plus Multispectral merged) 50 cm resolution data acquired in November, 2011.

  • Ground Truth data.

  • Survey of India topographical map sheet no. 53H/5 of Ghaziabad and its environs on 1:25000/1:50000 scales surveyed between 1966-67 and 1972.

    SOFTWARE & EQUIPMENT

    Arc-GIS 10.1 v.

  • G.P.S-Mobile Mapper Field & Office Software

    10.0 v.

    METHODOLOGY

    The procedure followed for identification and mapping of encroachment area on 1:1,000 scales and for preparation of digital database using remote sensing and GIS techniques is discussed in brief as under:

    The Delhi-Saharanpur Road Scheme area acquired by U.P. Awas Vikas Parishad Ghaziabad is mapped in this project

    using remote sensing & Geographical Information System (GIS) and Global Positioning System-Mobile Mapper Field & Office Software (GPS). This project work is carried out to prepare detailed information for mapping and monitoring the encroachment at plot level of the study area. Cadastral map of the area collected from sponsoring department, it was geo-referenced in conjunction with Worldviews satellite data in GIS environment. After geo- referencing of cadastral map, all available/collected maps were corrected and geo-referenced to real earth coordinates and the same projection of Universe Transverse Mercator (UTM) and World Geodetic System 84 (WGS_84) was given to each and every map. Cadastral map were also vectorized and digitized and attributes coding of each and every plots i.e. plot no. has been given. The road/transport- network/city major/minor roads/streets, railway line, water bodies, drainage/nala etc. were interpreted as a linear, polygon feature using Arc-GIS software and Worldview 50 cm. resolution data and village names and important locations were shown in base map. After preparation of base map, the cadastral map was overlaid on high resolution satellite data. Encroachment/unauthorized construction existing in plots of study area have been identified and demarcated using high resolution data in GIS domain. The cadastral maps overlaid on rectified data have also been further checked/verified on the ground for conducting field survey for collection of field information related to encroachment. A detailed ground truth verification/field survey has been carried out with the help of single frequency Global Postioning System- Mobile Mapper Field & Office Software (GPS) to know the exact location of unauthorized construction/land use with their actual extent. The individual polygons have been given attributes coding in GIS environment. After field survey of the study area through DGPS, the data collected in field, were converted into tabular format and they have been matched and linked with digitized maps in GIS domain for preparation of final map on 1:4,000/1:2,000 scales.

    RESULT AND DISCUSSIONS

    To create the digital database for Delhi-Saharanpur Road Scheme of Ghaziabad, Uttar Pradesh, India. Base map at cadastral level was prepared for generating information of each and every plot. High resolution 50cm. imagery of Worldview satellite (Pan plus Multispectral) data and SOI topographical map sheet no. 53H/5 on 1:50,000 scales have been used for identification, mapping of small features and ground truth/G.P.S has also been use for data collection purpose in study area. Base map showing road/transport- network, city major/minor roads, railways line, canal/distribution, river, drainage/nala, water bodies were digitized on 1:1,000 scale and the final land use maps has been used for field survey, composed on 1:4,000/1:2000 scale indicating total built up area indicating total built up area including village settlement area of 0.85 Sq Km and the area of power grid calculated as 0.47 Sq Km in GIS domain. In cadastral map, total 3032 plots/land holdings are digitized and attributes coded (Fig-2), out of which small encroached units are identified and mapped in 156 plots. The no of these plots and encroached/built up/

    unauthorized construction area has been shown in Table-1 indicating the land holding no. Fig-3 shows the all small land parcel overlaid on satellite data, which has been encroached by the people in study area. The encroached area in different plot has been calculated in GIS, and it is 231248.27 sq meter approximately. The entire study area is splitted into 6 parts to show the transparency in encroachment at each and every plot. Fig.4 to Fig.9 shows the study area into 6 parts (from 1 to part 6). Fig. 4 represents the part 1, Fig.5 and onwards is representing the study area map continuously from part-2 to 6, on which the cadastral map with plot no. has been overlaid on Worldview satellites 50cm spatial resolution data acquired in November, 2011. The land cost for residential/commercial/industrial and for other purposes/ land uses is very high due to coming this area under National Capital Region (NCR) New Delhi.

    RECOMMENDATIONS:

  • Before acquisition of land for residential colony purpose by development authorities, prime agricultural land should be avoided and the culture of vertical city development is needed to fulfill the need of increased housing in urban periphery.

  • Investigation of soils building load bearing capacity should be compulsory for all govt. /private construction companies to avoid the manmade disaster like land subsidence.

  • Laws / standards of eco-city planning should be compulsory for all govt. /private builders.

    CONCLUSION

    The remotely sensed data, Geographical Information System (GIS) and Global Positioning System (GPS) has proved an effective tool in plot level rural/urban/cadastral mapping, monitoring and analysis. The spatial extent of various small construction units/encroachment identified and interpreted at plot level for the study area will be useful for planners and decision makers at micro level planning & management. Furthermore, the development of intelligent

    GIS with high resolution panchromatic & multispectral data of Quickbird, IKONOS, Worldview, Worldviw-3, Cartosat-1, Cartosat-2 & Geoeye may enable generating parcel level land use/ land cover inventories necessary for future/ sustainable development of land resource and may facilitate monitoring the input of implementation of suggested land use program in urban / rural area.

    ACKNOWLEDGEMENT

    The author is grateful to U.P Housing Development Board Ghaziabad unit to provide the funds to taken up this study. The authors also acknowledge Sri Arvind Tripathi to assist the staff involved in this project.

    REFERENCES

  • Saini,Alok & Kumar, V.etal (2002), Evaluation of High Resolution IKONOS Data for Updation , Rectification And Mosacing of Cadastral Maps. International Confrence IAPRS &SIS, Vol.34, Part 7.Resource and Environment Monitoring Hyderabad India, 2002.

  • Rao, T. Raja & Shekhar, P. Raj, 2000. Land Records Computerization. GIS @development.Vol. IV(4),pp.35-37.

  • Gopalan, A. K. S. (2009), High Resolution Imagery for developmental Planning with spatial references to development. GIS@development.net http:/www.GISdevelopmentmet.net/ technology/ rs/ techrsr0014pf.htm.

  • Kumar, V. (2012), Unpublished Technical Report on Remote Sensing and GIS Techniques for Mapping Encroachment at Plot level for Delhi-Saharanpur Road Scheme of U.P Awas Vikas Parishad, Ghaziabad. Remote Sensing Applications Centre Uttar Pradesh, Lucknow.

  • Census of India, 2011.

TABLE-1: PLOTWISE ENCROACHMENT/BUILT-UP AREA AT HOUSING SITE OF DELHI SAHARANPUR ROAD SCHEME, AWAS VIKAS PARISHAD GHAZIABAD, UTTAR PRADESH

S.No

Plot No.

Area sq.m

1

47

1897.859

2

64

89.003

3

79

17.786

4

93

20.942

5

95

20.942

6

96

11.613

7

101

8.156

8

104

16.304

9

113

17.872

10

117

27.246

11

144

27.246

12

146

209.271

13

115/116/114/150

15368.03

14

157

24.033

15

177

11.223

16

181

6.67

17

249

86.238

18

386

86.238

19

425

19.324

20

426/427

1435.482

21

440

21.783

22

453

11.514

23

454

15.448

24

456

185.763

25

457

153.8

26

458

62.425

27

459

38.778

28

478

9.814

29

479

88.848

30

490

8.668

31

491

9.756

32

493

10.564

33

499

6.439

34

524

10.731

35

527

1590.038

36

604

15.398

37

626

8.867

38

651

21.376

39

665

18.457

40

690

16.913

41

733

85.435

42

745

14.154

43

748

31.63

44

751

26.095

45

754

63.973

46

816

15.971

47

820

18.547

48

864

72.496

49

1011

2104.513

50

1177

11.533

51

1197

17.494

52

1378

11.047

53

1406

131.014

54

1408

836.91

55

1411

176.245

56

1415

178.308

57

1426

4.496

58

1427

35.395

59

1428

229.709

60

1438

174.456

61

1440

233.98

62

1443

19.793

63

1452

661.097

64

1473

114.074

65

1474

178.424

66

1475

22.961

67

1476

60.953

68

1479

12.545

69

1483

33.91

70

1488

9.762

71

1490

16.916

72

1491

12.843

73

1515

15.407

74

1548

18.137

75

1551

901.542

76

1582

18.179

77

1587

13.338

78

1592

131.741

79

1680

66.901

80

1722

32.57

81

1733

22.982

82

1734

46.58

83

1736

252.382

84

1780

61.79

85

1782

38.189

86

1804/1803/1799

4376.956

87

1795

322.81

88

1796

134.672

89

1800

30.75

90

1822

14.367

91

1824

13.992

92

1830

43.841

93

1881

23.624

94

1910

11.065

95

1914

101.275

96

1919

53.39

97

2116

89.01

98

2287

18.456

99

2350

14.529

100

2354

13.109

101

2359

13.03

102

2365

13.643

103

2394

265.436

104

2397

21.267

105

2404

953.292

106

2463

16.685

107

2481

18.15

108

2492

22.726

109

2497

159.5

110

2501

20.093

111

2503

305.607

112

2537

1199.323

113

2541

31.176

114

2558

148.332

115

2559

14.556

116

2576

1229.285

117

2613

363.769

118

2614

27.905

119

139/116/115/114

6889.612

120

141/142

510.981

121

1799/1803/1795/1804

4376.955

122

1806/1810/1809/1819/

4954.539

123

202/203

2253.619

124

252/253/254/255/257/258

10963.785

125

2581/2580/2579/2584/2582/2583/

161240.766

126

470/494

797.116

127

960/961

232.001

Total

231248.27

Fig.2 Fig.3

Fig.4 Fig.5

Fig.6 Fig.7

Fig.8 Fig.9

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