scholarly journals Assessment of Impact of Aquaculture on Mangrove Environments in the South East Coast of India Using Remote Sensing and Geographical Information System (GIS)

2007 ◽  
Vol 20 (4) ◽  
Author(s):  
M. JAYANTHI ◽  
L. GNANAPZHALAM ◽  
S. RAMACHANDRAN

Rapid development of aquaculture in coastal areas has raised worldwide concern on its potential role in mangrove habitat loss. This study is an attempt to assess the impact of shrimp aquaculture on the mangroves eco systems. The land resources used for aquaculture development were mapped from satellite data and analysed using Geographical Information System (GIS) to assess the extent of conversion from different land types to aquaculture. The digital data from Landsat -TM of 1987, IRS 1B - LISS II of 1994, IRS 1C- LISS III of 1998 and IRS - 1D LISS III of 2004 were used for the study. Aquaculture area has increased from 6.91 ha in 1987 to 386.33 ha in 2004. Change detection analysis using GIS indicated that mangroves of 4.84 ha and degraded mangroves of 6.16 ha were converted for aquaculture. Major development of aquaculture has occurred from agricultural lands (176.99 ha) and fallow lands (234.25 ha). Forest plantation of 21.68 ha, mudflats of 23.63 ha, water bodies of 18.13 ha and sandy areas of 60.87 ha were converted for aquaculture between 1987 and 2004. The aquaculture farms of 15.03 ha, converted from agricultural lands were reconverted back to agriculture due to disease problems. The shrimp culture practiced in 109.47 ha was abandoned and lying as fallow lands. Mangroves at Pichavaram were not affected due to the development of shrimp culture. The study indicated that remote sensing and GIS techniques are ideally suited to the task of assessing changes in the mangrove environments due to aquaculture and have the potential to contribute for sustainable aquaculture.

This article reviews the use of Geographical Information System (GIS) has been primarily applied in spatial decision making from simple to complex geospatial problems. GIS is usually referred to as a computer system used explicitly to store, manage, analyze, manipulate, and visualize geospatial data. GIS can produce meaningful information for a better understanding of solving related geographic/spatial problems. With the technology, hardware, and software assistance, GIS is at its progressive pace even though GIS starts with a simple and straightforward question of geographic features/event location. This rapid development has made GIS and spatial data becoming a critical commodity today. However, without the basic knowledge and GIS understanding, the actual GIS capabilities, such as understanding geographical concepts, managing geographic phenomena, and solving geographical problems, become limited. To become worse, GIS is was seen as a tool to facilitate map display and simple spatial analysis. Furthermore, the market's professional training emphasizes simple GIS components such as hardware, software, geospatial data mapping, extracting geographical data from tables (tabular data), simple queries or display, and spatial data editing mastered using GIS manuals in training. Thus, this article highlights the impact of implementing GIS without sufficient GIS fundamental knowledge, resulting in complicated spatial decision planning issues.


2021 ◽  
Vol 13 (24) ◽  
pp. 13602
Author(s):  
Hossain Mohammad Arifeen ◽  
Md. Shahariar Chowdhury ◽  
Haoran Zhang ◽  
Tanita Suepa ◽  
Nowshad Amin ◽  
...  

Land use and land cover (LULC) change is considered among the most discussed issues associated with development nowadays. It is necessary to provide factual and up-to-date information to policymakers to fulfil the increasing population’s food, work, and habitation needs while ensuring environmental sustainability. Geographical Information System (GIS) and Remote sensing can perform such work adequately. This study aims to assess land use and land cover changes concerning the Barapukuria coal mine and its adjacent areas in Bangladesh by applying remote sensing and GIS (geographical information system) techniques. This research work used time-series satellite images from the Landsat 7 ETM+ satellite between 1999 and 2009 and the Landsat 8 OLI/TIRS satellite for 2019. Supervised classification maximum likelihood classifier matrix was implemented using ERDAS Imagine 2018. The images were categorised into four definite classes: settlement, agricultural land, forest land, and waterbody. Analytical results clearly indicated that settlements and agricultural land had increasing and decreasing trends over the past 20 years, respectively. Settlements increased from 22% to 34% between 1999 and 2019. However, agricultural land reduced from 69% to 59% in the same period. Settlements grew by more than 50% during this period. The research had an overall accuracy of 70%, while the kappa coefficient was more than 0.60. There were land subsidence issues because of mining activities, leading to 1.003 km2 area being depressed and 1500 houses cracked. This research depicts the present LULC scenario and the impact of the coalfield area. It is expected to reduce the burden on policymakers to prepare a proper and effective mines development policy in Bangladesh and meet sustainable development goal (SDG) 15 (Life on land).


2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono

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).


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