Research & reviews journal of space science & technology (vol3, issue1)

Page 1

RRJoSST

ISSN: 2321-6506

(RRJHS)

Research & Reviews Journal of

Space Science & Technology

Volume 1, Issue 1-3 Compilation 2012

Jan - April 2014

타 Identification of Potential Areas for Horticulture Expansion using Remote Sensing

and GIS Techniques. 타 Vegetation Analysis in Kumaun Himalaya using Remote Sensing. 타 Monitoring Aquatic Vegetation Distribution in Chilika Lagoon with G-tech.

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Research & Reviews : Journal of Space Science & Technology

Contents

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-tech Jajnaseni Rout, Adikanda Ojha, Suchismita Srichandan, Madhusmita Tripathy, K.S.Bhatt, R.N.Samal, A.K.Pattnaik, G.Rajesh

17


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. Tiwari2 1

Jharkhand Space Applications Centre, Dhurwa, Ranchi-834004, India 2 Regional 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 postclassification 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)Š 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 Ojha2, Suchismita Srichandan1, Madhusmita Tripathy1, K.S.Bhatt1, R.N.Samal1, A.K.Pattnaik1- 2, G.Rajesh1 1

Chilika Development Authority, Odisha 2 SPMU-ICZMP, Odisha

Abstract

Chilika Lagoon with a water spread area varies from 1,144 km2 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

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


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