scholarly journals Assessment of Diara land under Bhagalpur district using remote sensing and GIS tools

2013 ◽  
Vol 5 (1) ◽  
pp. 213-216
Author(s):  
Vinay Kumar ◽  
R. Kumar ◽  
R. Kumar ◽  
B. K. Vimal ◽  
M. Kumar
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Satellite Image ◽  
Remote Sensing And Gis ◽  
Geographical Information ◽  
Visual Interpretation ◽  
Land Use Pattern ◽  
Digital Map ◽  
Reliable Technique ◽  
Gis Tools

The Diara land is found in between the natural levees of the river and formed due to its meandering and course changing behavior. The topography of Diara land is mostly undulating and intersected with numerous dead and disconnected channels, Remote sensing and Geographical Information System (GIS) is a reliable technique to prepare a comprehensive inventory of land use pattern of an area. The present study was carried out to prepare a complete digital map of diara land of Bhagalpur district using spatial software (TNT Mips). On the basis of visual interpretation of the satellite image and physiographic pattern of the land escape, polygons were digitized for area delineation and mapping for diara land. Out of sixteen blocks of Bhagalpur district, only six blocks were identified as an old Diara land (203.26 km2) and thirteen blocks were identified as a new diara land (869.78 km2). Occupied areas viz. Narayanpur, Bihpur, Kharik, Naugachhiya, Ismailpur, Rangra Chowk and Gopalpur blocks were identified under complete diara land. No any one Diara land characteristics ware marked in Shahkund, Goradih and Sanhaula blocks.

scholarly journals PREDICTION OF SARDINE FISHING GROUND AS DETERMINED BY MULTI-SENSOR REMOTE SENSING AND GIS

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Katsuya Saitoh ◽  
Sei-Ichi Saitoh
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Key Words ◽  
Remote Sensing And Gis ◽  
Geographical Information ◽  
Fishing Ground ◽  
Complex Method ◽  
Time Analysis ◽  
Before And After ◽  
Field Area

Fishing ground predictione analyzed the fishing ground environment of sardines with the complex method combining multi-sensor remote sensing and Geographical Information System (GIS), and examined methods f is now one of the keywords for a planned and efficient use of fishery resources. In this paper, wor prediction. As a result, the study showed the field area of fishing ground formation, the depth of fishing grounds, the favorable environment through time analysis before and after fishing ground formation. Also the study overlaid these results using GIS and showed prediction fishing grounds map. Key words: GIS, multi-sensor, Sardine Fishing Ground.

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

scholarly journals REMOTE SENSING AND GIS FOR LAND COVER CLASSIFICATION AND CHANGE DETECTION IN GAZIPUR SADAR, BANGLADESH DURING 1973-2017

2018 ◽  
Vol 5 (2) ◽  
pp. 215
Author(s):  
Md Arafat Hassan ◽  
Rakibul Islam ◽  
Rehnuma Mahjabin
Keyword(s):  
Remote Sensing ◽  
Supervised Classification ◽  
Agricultural Land ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Remote Sensing And Gis ◽  
Vegetation Coverage ◽  
Accurate Information ◽  
Sal Forest ◽  
Shed Light

This paper has been developed to capture the land coverage change in Gazipur Sadar Upazila with the help of remote sensing data of 44 years from 1973 to 2017. After acquiring the study area image of 1973, 1991, 2006 and 2017 supervised classification method has been used to get the accurate information from the satellite image and the whole outcome has been transformed into measurable unit (sq km) and graphs. The accuracy of land coverage was ranged from 85% to 89%. The outcome says that the acceleration of economic growth and pressure of huge population took a heavy toll on the vegetation coverage which decreased -199.7%. People are destroying vegetation coverage for building up settlements and infrastructure. In the year 2017, the map shows that the built-up area increased 312.9% for industry, settlement and agricultural purpose. Moreover agricultural land also drops down from 42% to 32%.  The rapid rate of decreasing vegetation coverage and small amount of existing vegetation coverage only 57 sq km (in 2017) is a red alert for the region. The Sal forest and other special flora species of that region is valuable resource for environment. This paper shed light on the fact that it is urgent to protect vegetation coverage so it will help the authority to make good policies and use other techniques to save vegetation coverage.

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