Journal of remote sensing & gis (vol5, issue1) by STM Journals Publication

Journal of

ISSN: 2321-421X

Remote Sensing & GIS (JoRSG)

Ÿ A Study on Spatio-temporal Variation in Ambient Temperatures over Parts of Andhra Pradesh, India Ÿ Conservation Prioritization using Multi-criteria Decision Model: A Case Study in Part of Western Himalayan Ecoregion

Ÿ TIN Model of Water Reservoir Bottom and Assessment of Model Accuracy Ÿ Anthropogenic Land Use Change Detection in a Kashmir Himalayan Watershed – A Remote Sensing and GIS Approach

Ÿ Land Use/Land Cover Information at Various Scales of Remote Sensing Data of Jhunjhunu District, Rajasthan

Ÿ Study on Land Use/Land Cover Change Dynamics through Remote Sensing and GIS – A Case Study of

conducted

Kamrup District, North East India

Ÿ The Integration of GPS and Remote Sensing: Vegetation Mapping around Shivpuri City (M.P), India

Jan - April 2014

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Dr. Dale A. Quattrochi

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Dr. Debashis Mitra Indian Space Research Organisation, India.

Nicola Masini CNR-IBAM, Italy.

Shefali Agrawal Indian Institute of Remote Sensing ISRO, Dehradun India.

Dr. Salvatore Stramondo Istituto Nazionale di Geofisica e Vulcanologia, Italy.

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I take the privilege to present the hard copy compilation for the [Volume 5 Issue (1)] 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 writeups/ 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.

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Journal of Remote Sensing & GIS

Contents

1. A Study on Spatio-temporal Variation in Ambient Temperatures over Parts of Andhra Pradesh, India Mogaraju Jagadish Kumar

2. Conservation Prioritization using Multi-criteria Decision Model: A Case Study in Part of Western Himalayan Ecoregion N. K. Sharma, Richa Tripathi Sharma

3. TIN Model of Water Reservoir Bottom and Assessment of Model Accuracy Jakub Fuska, Daniel Kubinský, Viliam Bárek, Peter Halaj1, Róbert Lenárt

4. Anthropogenic Land Use Change Detection in a Kashmir Himalayan Watershed – A Remote Sensing and GIS Approach M. Imran Malik, M. Sultan Bhat

5. Land Use/Land Cover Information at Various Scales of Remote Sensing Data of Jhunjhunu District, Rajasthan AN Singh, Anupam Singhal, Rajiv Gupta

6. Study on Land Use/Land Cover Change Dynamics through Remote Sensing and GIS – A Case Study of Kamrup District, North East India Jyotishman Deka, Om Prakash Tripathi, Mohamed Latif Khan

7. The Integration of GPS and Remote Sensing: Vegetation Mapping around Shivpuri City (M.P), India Ajay Singh Tomar, U. C. Singh

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

A Study on Spatio-temporal Variation in Ambient Temperatures over Parts of Andhra Pradesh, India Mogaraju Jagadish Kumar* Department of Civil Engineering, YSR Engineering College of Yogi Vemana University, Proddatur, YSR district, AP, India

Abstract Climate change is one of the irreversible phenomena human beings ever faced in recent past. Hydro-meteorological variables provide efficient information to study the climate patterns over any region. This paper aims on narrowing down the areas which need immediate attention since high temperatures were recorded over them. This part of the study showed that hotspots analysis and cluster and outlier analysis are quintessential for policy makers to understand the higher-risk areas compared to lower-risk areas. It is sensed that the aim has been achieved by this study and it filtered out six to seven districts which exhibited clusters and five to six hotspots over the region. ArcGIS and MS Excel were used for this study.

Keywords: Hotspot analysis, cluster and outlier analysis, GIS, climate change, temperature

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

Conservation Prioritization using Multi-criteria Decision Model: A Case Study in Part of Western Himalayan Ecoregion N. K. Sharma1*, Richa Tripathi Sharma2 Jharkhand Space Applications Centre, Second Floor, Engineerâ&#x20AC;&#x2122;s Hostel-1, Dhurwa, Ranchi-834004, India 2 Saraswati Kunj, Magistrate Colony, Doranda, Ranchi-834002, India

Abstract Vegetation and land use map was prepared using the satellite image of IRS-1D LISS III sensor. Four vegetation types were mapped, viz., temperate broadleaf forest, temperate conifer forest, pine forest and degraded forest. Different forest types were characterized for conservation prioritization based on parameters obtained through field sampling and landscape analysis. These parameters were (i) species diversity, (ii) mosaic diversity, (iii) total plant value, and (iv) contagion. The areas of low, medium and high priorities for conservation were mapped by integration of weighted input computed through analytic hierarchy process of these parameters. Present approach of area prioritization considered biodiversity as well as ecosystem attributes to provide better information to natural resource managers.

Keywords: Area prioritization, conservation, contagion, western himalaya

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

TIN Model of Water Reservoir Bottom and Assessment of Model Accuracy Jakub Fuska1*, Daniel Kubinský2, Viliam Bárek1, Peter Halaj1, Róbert Lenárt1 1

Department of the Landscape Engineering, Horticulture and Landscape Engineering Faculty, Slovak University of Agriculture in Nitra Hospodárska 7, 949 76 Nitra, Slovakia 2 Department of Biology and Ecology, Faculty of Natural Sciences, Matej Bel University in Banská Bystrica, Slovakia

Abstract Natural and anthropogenic processes are causing changes in topography of water reservoir bed. These changes are connected to the income and outcome of the sediment to the water reservoir, so the water depth and total reservoir volume changes too. Knowledge of topography of the water reservoir bed and its changes can be useful for calculation of total actual amount of the sediment, for calculation of the actual volume of water in current water level, or it can be used for creation of area-capacity curves of the reservoir. This paper deals with the possibility of the creation of TIN (triangulated irregular network) model of the water reservoir bed and also for the assessment of the accuracy of the created TIN model. The idea of accuracy assessment is the evaluation of differences between modeled cross sections and the real elevations of the reservoir bed. Input data are the points collected with the GPS and depth measuring with the level staff (contact measuring) and the points collected with the GPS receiver and sonar during sailing in the reservoir (non-contact measuring). Then the data are processed in the ArcGIS 9.3 software and the TIN model of the reservoir bed is created. The cross sections of the model and the real elevations of the reservoir bed are created in the AutoCAD 2009 software. This method is demonstrated in the swimming pool in Topoľčany. Bottom of the swimming pool is plain with good possibility to estimate real elevations of the points at its surface. The comparison of the modeled cross sections with the real bottom elevation offers evaluation of the accuracy of the method that can be obtained in the field work in the proper water reservoirs (fish ponds, irrigation reservoirs, etc.).

Keywords: TIN model creation, TIN model accuracy, water reservoir bottom topography

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

Anthropogenic Land Use Change Detection in a Kashmir Himalayan Watershed â&#x20AC;&#x201C; A Remote Sensing and GIS Approach M. Imran Malik1*, M. Sultan Bhat2 1

Government Degree College Boys, Anantnag, Kashmir, India Department of Geography & Regional Development, Kashmir University, Srinagar, India

Abstract Watersheds are ubiquitous units that can be seen as the physical foundation of the nation. They have long been recognized as desirable units for planning and implementing developmental programs. Human impact on the watersheds is increasing day by day. The alteration of land use pattern in the Himalayan watersheds is increasing the vulnerability of these inherently fragile ecosystems. The present study is conducted in a Himalayan watershed of Lidder catchment in Kashmir valley by integrating remote sensing, geographical information system (GIS), field survey and socio-economic data. The multitemporal land use land cover (LULC) change detection is carried out using digital classification procedure. The results have revealed that agriculture and forest area has been encroached by horticulture and built-up area. High growth rate of population and maximization of economic returns from cultivable land are identified as the two main drivers of LULC change in the watershed. The study proposes that a comprehensive land use policy must be implemented to avoid unsustainable expansion of various land uses at the cost of natural land cover.

Keywords: Remote sensing, GIS, land use, Kashmir, digital classification, watershed

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

Land Use/Land Cover Information at Various Scales of Remote Sensing Data of Jhunjhunu District, Rajasthan AN Singh*, Anupam Singhal, Rajiv Gupta Department of Civil Engineering, BITS-Pilani, Rajasthan, India

Abstract Through the present study, variation in land use, land cover (LULC) with change in scale is discussed. The authors carried out the visual interpretation with the aid of supervised classification, aiming to obtain LULC information at various levels of remote sensing data of district Jhunjhunu of Rajasthan. Remote sensing data of IRS-P6 (LISS-III) standard false color composites (FCCs) on 1:1 M, 1:250,000 and 1:50,000 scales for the period of February 2012 for the interpretation, for entire district area have been used in the study. Finally, a list of LULC categories at different scales has been compiled, highlighting the problems in identifying and delineating the same. The result shows progressive change in the LULC categories with increasing scale and has revealed area variations of different LULC units. The 1:50,000 scale interpretation gives the best result in classification, done in three different scales.

Keywords: Land use, land cover, RS data analysis, level of information, Jhunjhunu, classification *Author for Correspondence: E-mail: arunnihal14@rediffmail.com

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

Study on Land Use/Land Cover Change Dynamics through Remote Sensing and GIS – A Case Study of Kamrup District, North East India Jyotishman Deka1*, Om Prakash Tripathi2, Mohamed Latif Khan3 1

Department of Botany, Delhi University, Delhi - 110007, India Department of Forestry, NERIST, Arunachal Pradesh-7911093, India 3 Head, Department of Biotechnology, Dr. Hari Singh Gour Central University, Madhaya Pradesh-470003, India 2

Abstract The study describes the land use and land cover dynamics in Kamrup district of Assam from 1991 to 2011 using remote sensing and Geographical Information System (GIS). Satellite remote sensing and GIS acts as an effective approach for analyzing the direction, rate and spatial pattern of land use dynamics. Landsat-TM and ETM+ for the period 1991, 2001 and 2011 were used to prepare the land use/land cover (LULC) map for different periods. The methodology employed consists of an object-oriented classification approach for LULC mapping and a post-classification change-detection technique for quantifying the changes for twelve major land use and land cover types. The results indicated that severe land cover changes have occurred in built-up (+ 45.82%), wetlands (−39.45%), croplands (+ 4.16%) and forest cover (−3.09%) areas. Most of the areas have been compensated to expansion in areas under built-up and cultivated lands.

Keywords: Change detection, change matrix, land-use, land-cover, accuracy assessment *Author for Correspondence E-mail: jyotishmandeka@gmail.com

Journal of Remote Sensing & GIS ISSN: 2321-421X Volume 5, Issue 1 www.stmjournals.com

The Integration of GPS and Remote Sensing: Vegetation Mapping around Shivpuri City (M.P), India Ajay Singh Tomar*, U. C. Singh S.O.S Earth Science, Jiwaji University, Gwalior, M.P., India Abstract A numbers of park are found in study area such as - Madhav National Park, Chironji Park etc. Integration of GPS and Remote Sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. The Shivpuri district has growth and developmental activities such as building and road construction, agricultural expansion and touristic activities etc. These activities have increased the land consumption and modification of vegetation cover built dayâ&#x20AC;&#x201C;by-day. Vegetation mapping and GPS are the measure and determine the thematic data and information. Global Positioning System (GPS) satellite navigation increasingly being used in vegetation studies to track the locations. Vegetation maps using a Geographical Information System (GIS) it is possible to relate location to vegetation cover. This powerful approach is opening up new opportunities to study the vegetation behavior with GPS technology. This information used to enhance the region's for identifying vegetation cover/mapping area.

Keywords: NDVI, GPS, remote sensing, vegetation mapping, satellite navigation