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STM JOURNALSScientific Technical Medical

Jan - April 2014

Ÿ Identification of Potential Areas for Horticulture Expansion using Remote Sensing

and GIS Techniques.

Ÿ Vegetation Analysis in Kumaun Himalaya using Remote Sensing.

Ÿ Monitoring Aquatic Vegetation Distribution in Chilika Lagoon with G-tech.

RRJoSST

Space Science & Technology

ISSN: 2321-6506

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I take the privilege to present the hard copy compilation for the [Volume 3 Issue (1)] of Research &

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& Technology.

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and reviews in areas of Space Science & Technology found to be relevant for National and

International recent developments & research initiative.

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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. Identification of Potential Areas for Horticulture Expansion using Remote Sensing and GIS Techniques P V Krishna Rao, K V Ramana, MVR Seshasai 1

2. Vegetation Analysis in Kumaun Himalaya using Remote Sensing N. K. Sharma, A. K. Tiwari 9

3. Monitoring Aquatic Vegetation Distribution in Chilika Lagoon with G-techJajnaseni Rout, Adikanda Ojha, Suchismita Srichandan, Madhusmita Tripathy, K.S.Bhatt, R.N.Samal, A.K.Pattnaik, G.Rajesh 17

ContentsResearch & Reviews : Journal of Space Science & Technology

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

Research & Reviews: Journal of Space Science & Technology ISSN: 2321-6506

Volume 3, Issue 1

www.stmjournals.com

Identification of Potential Areas for Horticulture

Expansion using Remote Sensing and GIS Techniques

P V Krishna Rao*, K V Ramana, MVR Seshasai National Remote Sensing Centre, ISRO, Hyderabad-500037, AP, India

Abstract Horticultural crops play a unique role in India’s economy by improving the income of

rural people. The cultivation and production of horticultural crops is known as “Golden

Revolution” and India has emerged as the second largest producer of fruits and vegetables in the world. The country has abundant sunshine throughout the year, surplus

labor and widely varied agroclimatic conditions, which offer high potential for successful

and profitable commercial horticulture mainly mango crop. Remote sensing and geographical information systems can be effectively used for generating such information

and hence an attempt has been made to map the areas under mango crop and also potential areas for taking up its cultivation and identifying suitable areas for

infrastructure development. The study was conducted in the parts of Krishna and West

Godavari districts of Andhra Pradesh using temporal digital data sets from AWiFS and LISS-III sensor onboard Resourcesat-1 satellite and IKONOS data. The digital analysis

of satellite data was carried out in order to derive potential areas suitable for mango crop cultivation based on soil, climatic and edaphic conditions in GIS environment. The

IKONOS data was used for identification of mango plantations and also growth pattern

in combination with other horticultural crops in the study. The land use/land cover mapping was done with AWiFS data in Krishna and West Godavari districts of Andhra

Pradesh and suitable areas were categorized as category 1 to 4 for expansion of mango

cultivation areas. As horticultural crops are perennial and long-standing with increased commercial importance, long-term database on their extent, distribution, condition and

necessary infrastructure is highly essential for strategic planning towards integrated development of horticultural crops in the state.

Keywords: Edaphic, GIS, HIS, IKONOS, remote sensing, suitability analysis

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

Research & Reviews: Journal of Space Science & Technology ISSN: 2321-6506

Volume 3, Issue 1

www.stmjournals.com

Vegetation Analysis in Kumaun Himalaya using

Remote Sensing

N. K. Sharma1*, A. K. Tiwari

2

1Jharkhand Space Applications Centre, Dhurwa, Ranchi-834004, India

2Regional Remote Sensing Centre, Dehradun, Uttarakhand, India

Abstract Vegetation and land use of Kumaun Himalaya was analyzed using remote sensing data. A

total of 15 vegetation and land use classes were mapped, of which, eight vegetation types and seven land use categories were identified. Utilizing the knowledge of altitude bound

distribution of vegetation digital elevation model (DEM) was used for the post-classification refinements. Forest spreads over 52% of total geographical area, while

48% of the total geographical area is covered with non-forest types including scrub,

grassland, plantation, agriculture, water body and snow. Temperate and subalpine broadleaf forest dominated the forest class followed by pine forest. Information

generated in present study will provide input to planners for land use planning and

natural resources management.

Keywords: DEM, oak forest, vegetation, remote sensing, Uttarakhand

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

Research & Reviews: Journal of Space Science & Technology ISSN: 2321-6506

Volume 3, Issue 1

www.stmjournals.com

Monitoring Aquatic Vegetation Distribution in

Chilika Lagoon with G-tech

Jajnaseni Rout1 *, Adikanda Ojha

2, Suchismita Srichandan

1, Madhusmita Tripathy

1,

K.S.Bhatt1, R.N.Samal

1, A.K.Pattnaik

1- 2, G.Rajesh

1

1Chilika Development Authority, Odisha

2SPMU-ICZMP, Odisha

Abstract Chilika Lagoon with a water spread area varies from 1,144 km

2 of in the monsoon season

to 780 km2 in the winter dry season (National Wetland Atlas, Orissa) of a large wetlands

eco-system. The lagoon had been facing with different problems, like shifting of the

mouth, decrease in salinity level, shrinkage of water spread area due to sedimentation,

increasing the fresh water weeds etc. To monitor the aquatic vegetation distribution from

the year 1975 to 2014, an attempt was made to monitor the same as a Remote Sensing and GIS approach. In the year 1975 the emergent vegetation was only 18sq.km. in the

whole lake. After that in the year 1988 it was 92.12 sq.km. & in the year 2004, after

opening the Sipakuda inlet the emergent vegetation reduced upto 56.29 sq.km.

Keywords: Lagoon, Shrinkage, Sedimentation, Remote Sensing & GIS