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Transcript of Journal of remote sensing & gis (vol5, issue2)
(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
(ISSN: 2321– 421X)
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Dr. Bimlesh Lochab
Industrial Tribology Machine Dynamics & Maintenance
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Indian Institute of Technology Delhi, India.
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Alternative Energy Technology Laboratory,
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Editorial Board
Dr. Dale A. QuattrochiGeographer/Senior Research ScientistNASA, Earth Science Office, VP61
Marshall Space Flight CenterHuntsville.
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Rorkee, India.
Dr. Anshuman TripathiNMDC Limited, Khanij
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Birla Institute of Technology Mesra Ranchi, Jharkhand, India.
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for Scientific Research, Lebanon.
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Nicola Masini CNR-IBAM, Italy.
Shefali AgrawalIndian Institute of Remote Sensing
ISRO, Dehradun India.
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Vulcanologia, Italy.
Dr. Mohammad Imran MalikLecturer, Academic arrangement, Department of Higher Education,
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.
Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for
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