Remote sensing and GIS based information system for sustainable resources planning at Panchayat level

2006 ◽  
Author(s):  
A. Velmurugan ◽  
S. Bhatt ◽  
V. K. Dadhwal
Author(s):  
Katsuya Saitoh ◽  
Sei-Ichi Saitoh

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.


2010 ◽  
Vol 44 (21-22) ◽  
pp. 2501-2506 ◽  
Author(s):  
Janet E. Nichol ◽  
Man Sing Wong ◽  
Jingzhi Wang

Author(s):  
Fauzia Zehra

Abstract: Sodic land is one of the major problems that has become an extensive challenge in today’s scenario, which act as a threat to global food productivity. Detrimental climatic changes are acting as a catalyst in the development of soil salinity, thereby increasing the problem in the upcoming future and ultimately effects the unaffected areas. This paper aims to integrate information from previously published literature about the extent, expansion rate, prevailing situation and current policies for handling soil sodicity as well as evaluating the sustainability of reclaimed sodic land. Since Sodic land reclamation has been done in the Indo-Gangetic region on a great extent in many states namely Uttar Pradesh, Punjab and Haryana in India. Although, in some areas, the reversion of reclamation has been reported. Therefore, this study has been done in one of the reclaimed sites of district Raebareli of Uttar Pradesh for sustainability assessment of sodic land using remote sensing, Geographic Information system (GIS) and necessary ground information. It was found that the villages of Singhpur and Tiloi blocks of Raebareli district were greatly affected by sodicity and had shown large extent of sodicity and reversion. Keywords: Raebareli district, Sodic areas, Remote sensing, Reclamation strategies, GPS.


2013 ◽  
Vol 5 (1) ◽  
pp. 213-216
Author(s):  
Vinay Kumar ◽  
R. Kumar ◽  
R. Kumar ◽  
B. K. Vimal ◽  
M. Kumar

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.


2011 ◽  
Vol 403-408 ◽  
pp. 1543-1547
Author(s):  
Gai Ying Chen ◽  
Da Zhi Guo ◽  
Malgorzata Verőné Wojtaszek ◽  
Béla Márkus

Because of the rapid economy development and the enormous society evolution, large scale changes of land use and land cover had occurred in areas of Beijing and Hungary in the past two decades. This paper focused on monitoring on LUCC(land use and land cover change) in Changping,Beijing, China and Lake Velence watershed area in Szekesfehervar, Hungary based on Multi-Temporal, Multi-Spatial and multi-source remotely sensed images and Geographic Information System( GIS).


2019 ◽  
Vol 117 (1) ◽  
pp. 104
Author(s):  
H. S. Gusain ◽  
H. S. Negi ◽  
Sudhir Dhamija ◽  
V. D. Mishra ◽  
, Snehmani

2004 ◽  
Vol 12 (1) ◽  
Author(s):  
Irmadi Nahib ◽  
Jaya Wijaya

To support reforestation activities, spatially forestry data are inexorably needed to support the activities. By using multi –temporally data, reforestation activities an be identified and detected. To accomplish the purpose, this research uses Landsat TM data aquired in 1990 and 1995. Remotely sensed data and Geographyc Information System (GIS) are methods that can be applied to gather, monitor as well as analyse data swiftly and accurately. This research uses remotely sensed data to collect land cover features in given area. Geographyc information System is used to capture and to analyse reforestation data. The expected is GIS based forest management strategy making.


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