(JoRSG)

Journal of Remote Sensing & GIS

ISSN: 2321-421X

STM JOURNALSScientific Technical Medical

May-August 2014

Ÿ Land Resource Evaluation around Shivpuri City in M.P. IndiaŸ Remote Sensing and GIS ApplicationŸ Morphometric Analysis of Ansupa Lake, OdishaŸ Geo-spatial Predictions of Soil Organic Carbon Ÿ Integration of Remote Sensing and GIS for Land Use

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Journal of Remote Sensing & GIS

Journal of Remote Sensing & GIS

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Industrial Tribology Machine Dynamics & Maintenance

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Alternative Energy Technology Laboratory,

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Dr. Dale A. QuattrochiGeographer/Senior Research ScientistNASA, Earth Science Office, VP61

Marshall Space Flight CenterHuntsville.

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Rorkee, India.

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Birla Institute of Technology Mesra Ranchi, Jharkhand, India.

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Nicola Masini CNR-IBAM, Italy.

Shefali AgrawalIndian Institute of Remote Sensing

ISRO, Dehradun India.

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Government degree college boys Anantnag J&K India.

I take the privilege to present the hard copy compilation for the [Volume 5 Issue (2)] of Journal of

Remote Sensing & GIS (JoRSG). The intension of JoRSG is to create an atmosphere that stimulates

creativeness, research and growth in the area of Remote Sensing & GIS.

The development and growth of the mankind is the consequence of brilliant Research done by

eminent Scientists and Engineers in every field. JoRSG provides an outlet for Research findings and

reviews in areas of Journal of Remote Sensing & GIS found to be relevant for National and

International recent developments & research initiative.

The aim and scope of the Journal is to provide an academic medium and an important reference for

the advancement and dissemination of Research results that support high level learning, teaching and

research in the domain of Remote Sensing & GIS.

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their continued support and invaluable contributions and suggestions in the form of authoring write-

ups/ reviewing and providing constructive comments for the advancement of the journals. With

regards to their due continuous support and co-operation, we have been able to publish quality

Research/Review findings for our customers base.

I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

1. Land Resource Evaluation and Site Suitability Criteria Development around the Shivpuri City (M.P.), India, Study using Remote Sensing and GIS

Ajay Singh Tomar, U. C. Singh 1

2. Remote Sensing and GIS Application for Detection and Delineation of Waterlogging in Rohtak DistrictAnkur Sharma, Vinod Kumar, Prem Prakash Sharma, Sultan Singh, R. S. Hooda 8

3. Morphometric Analysis of Ansupa Lake, Odisha using GIS Technique Adikanda Ojha, Jajnaseni Rout 15

4. Geo-spatial Predictions of Soil Organic Carbon: A Review Vijay Shivaji Bhagat 23

5. Integration of Remote Sensing and GIS for Land Use/Land Cover Mapping in Rewari District, Haryana Jitendra Kumar 40

ContentsJournal of Remote Sensing & GIS

JoRSG (2014)© STM Journals 2014. All Rights Reserved

Journal of Remote Sensing & GIS ISSN: 2230-7990 (online), ISSN: 2321-421X (print)

Volume 5, Issue 2

www.stmjournals.com

Land Resource Evaluation and Site Suitability Criteria

Development around the Shivpuri City (M.P.), India,

Study using Remote Sensing and GIS

Ajay Singh Tomar*, U. C. Singh S.O.S. Earth Science, Jiwaji University, Gwalior, M.P., India

Abstract Recent research indicates that the human induced conversions and modifications of land cover around the Shivpuri city. Land resource evaluation and Site suitability, though land

use is mainly controlled by various biophysical factors like soil, climate, relief and vegetation but the human activities are mainly responsible for the change of attributes of

land use modification and conversion. In this paper focuses on weightages overlay GIS

techniques for land resource evaluation and site suitability analysis. In order to provide greater details, the input information such as land use/land cover classes, geomorphic

units, lithology, soil types and slope have been generated from IRS 1D LISS-III satellite data and SRTM data. These details are categories based on ranking method for various

land use/land cover analysis and development. The dynamics of land resource evaluation

processes are governed spatial characteristics of inputs and outputs of the land use conditions. The main objectives of the study were: To develop an integrated Remote

Sensing and GIS technique to evaluate the relationship between land uses, To identify

factors influencing and controlling role in the study area, To evaluate the nature resource categories, To have a quantitative assessment of land resources, To suggest suitable sites

for various land use development, The study provides important input for effective decision making for land suitability, future planning and resource allocation.

Keywords: Land Resource Evaluation, Weightage Overlay, GIS, Remote Sensing,

LISS-III, Site Suitability Analysis and Development

JoRSG (2014)© STM Journals 2014. All Rights Reserved

Journal of Remote Sensing & GIS ISSN: 2230-7990 (online), ISSN: 2321-421X (print)

Volume 5, Issue 2

www.stmjournals.com

Remote Sensing and GIS Application for Detection and

Delineation of Waterlogging in Rohtak District

Ankur Sharma*, Vinod Kumar, Prem Prakash Sharma, Sultan Singh, R. S. Hooda Haryana Space Applications Centre (HARSAC), CCS Haryana Agriculture University Campus,

Hisar, Haryana, India

Abstract Waterlogging is becoming a serious problem in irrigated command areas of India which causes farm, regional and national level effect on crop production and economic growth.

An attempt has been made to make an assessment of the major land degradation process,

i.e., waterlogged and those areas sensitive to waterlogging during the pre and post monsoon periods in the Rohtak district using remotely sensed and field data. IRS P6-

LISS-III digital data were analyzed to assess the areas affected by waterlogging and

validation of derived waterlogged areas was done using available water table depth data and other field information. The study area has been analyzed by slope assessment and

DEM using spot height from the SOI Toposheet. The results obtained from this study indicate that in Oct. and Mar. 2005-06, Oct. and Mar. 2008-09, some 7 km

2 and 1.36 km

2

area was permanently waterlogged and about 222 km2 and 69 km

2 area was seasonally

waterlogged, respectively. The results show that waterlogging has decreased by 6.69 km2

and seasonal waterlogging has decreased by 153 km2. The study concludes that water

logging has proper urban planning with its thrust on sufficient canal and drainage

network with aforestation is suggested to avoid waterlogging.

Keywords: Waterlogging, IRS P6 LISS-III, Rohtak, DEM

JoRSG (2014) © STM Journals 2014. All Rights Reserved

Journal of Remote Sensing & GIS ISSN: 2230-7990 (online), ISSN: 2321-421X (print)

Volume 5, Issue 2

www.stmjournals.com

Morphometric Analysis of Ansupa Lake, Odisha

using GIS Technique

Adikanda Ojha, Jajnaseni Rout* Dept. of Applied Geography, Ravenshaw University, Cuttack, Odisha, India

Abstract Basin morphometry is a means of numerically analyzing or mathematically

quantifying different aspects of a drainage basin. In the present study, morphometric

analysis of the Ansupa lake Catchment has been carried using earth observation data and geographical information system (GIS) techniques. The morphometric

parameters considered for analysis includes the linear, areal and relief aspects of the

basin. The study has strengthened in understanding the hydrological, geological and geomorphological characteristics of the Ansupa lake Catchment. This study attempts

to perform the drainage analysis on a terrain model for Ansupa Catchment situated in Cuttack district of Odisha. It is a fresh water lake and there are a number of small

lakes around it. The lake falls in Survey of India toposheet No. 73/H11 (1:50000) and

73H11NW (1:25,000). It is bounded by 20⁰26′06′′ to 20⁰28′03′′N latitude and

85⁰35′09′′ to 85⁰36′06′′ E longitude. The lake represents the characters of a typical

ox-bow lake and back swamp by lying within the alluvial plain of river Mahanadi on its left.

Keywords: Morphometry, Earth observation, Linear, Relief, Ox-bow

JoRSG (2014)© STM Journals 2014. All Rights Reserved

Journal of Remote Sensing & GIS ISSN: 2230-7990 (online), ISSN: 2321-421X (print)

Volume 5, Issue 2

www.stmjournals.com

Geo-spatial Predictions of Soil Organic Carbon: A Review

Vijay Shivaji Bhagat* Post-graduate Teaching and Research Center in Geography, Agasti Arts,

Commerce and Dadasaheb Rupwate Science College, Affiliated to Savitribai Phule

Pune University, Pune, India

Abstract Soil Organic Carbon (SOC) plays an important role in conservation of biophysical environment, i.e., biogeochemical cycles, soil fertility, water quality, atmospheric carbon

control, temperature control, sustainable land management and food production. Geo-

statistical techniques can be useful for precise estimations and preparation of high

quality SOC maps essential for planning and monitoring the biophysical environment.

Several studies have used geo-statistical techniques successfully for description of spatial

patterns, quantitative modeling, spatial predictions and uncertainty assessments of SOC at local, regional and global scale. However, the results are still susceptible to: 1)

sufficient number of samples representing variability of soils and land use, 2) suitable methods and techniques selected for laboratory analyses, 3) selection, availability,

precision and correlations of used ancillary data used for modeling, and 4) selected geo-

statistical techniques for SOC predictions. Therefore, the reported success studies are very site-, data- and situation-specific and insufficient to reach global conclusions. The

field is active, attractive, challenging and interesting area of research for soil fertility and climate change management.

Keywords: Soil sampling, soil organic carbon, spatial estimations, modeling,

semivariogram, kriging, hybrid kriging, adjusted distance metric, multiple linear

regression, weighted index

JoRSG (2014)© STM Journals 2014. All Rights Reserved

Journal of Remote Sensing & GIS ISSN: 2230-7990 (online), ISSN: 2321-421X (print)

Volume 5, Issue 2

www.stmjournals.com

Integration of Remote Sensing and GIS for Land

Use/Land Cover Mapping in Rewari District, Haryana

Jitendra Kumar* KLP College, Rewari, Haryana, India

Abstract Spatial information is very important for the implementation of planning and

development activities. Land use planners are always keen to know land use/cover types

and their change detection in time series for sustainable land management. Remote sensing with its multispectral, multi-temporal and synoptic view has the potential to

provide accurate spatial and temporal information on land-use/land cover of a region in

a time and cost effective manner for the sustainable development of the region. The present study is a case study of Rewari district which is located in the NCR region of

Haryana state. This study has analyzed the land use pattern of Rewari district. Both spatial and non-spatial data have been used for the conduct of present study. Spatial data

include topographical sheets and satellite imageries that have been used to detect land-

use/land cover from the study area whereas non-spatial data include census population data. Study reflect that majority of area in the district are agricultural. All other category

like; built-up area, forest/grassland, water body and wasteland constitutes only 10 percent of the study area. The district lacks forest cover which spread over only 0.5

percent of the study area.

Keywords: Remote sensing, geographic information systems (GIS), spatial

information, land-use