Assessment of impact of aquaculture on Kolleru Lake (India) using remote sensing and Geographical Information System

Jayanthi, M.; Rekha, P. Nila; Natarajan, Kavitha; Palaniappan, Ravichandran

doi:10.1111/j.1365-2109.2006.01602.x

Cited by 37 publications

(13 citation statements)

References 20 publications

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“…According to Jayanthi et al (2006), the overall lake loss occupied 11.38 km only area in lake bed 56.04 km whereas in the present study, a notable increase in the aquaculture encroachment in the lake bed was observed. The ecosystem of the lake was significantly affected due to agriculture and aquaculture, increased industrial activity, growing numbers of human settlers and infrastructure building such as roads, etc .…”

Section: Add-on Informationcontrasting

confidence: 56%

Monitoring of current land use pattern of Ramsar designated Kolleru Wetland, India using geospatial technologies

Shivakrishna¹,

Ramteke²,

Kesavan³

et al. 2021

JEB

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Aim: The present study is an attempt to analyze the land use pattern of Kolleru Lake in and around by using the techniques of remote sensing and GIS to detect the temporal changes of the Kolleru Lake. Methodology: The 1938 and 1967 years topographic sheets and Landsat-5 TM of 1997 and Resoucesat-2 LISS 4 of 2017 satellite images were used and analyzed by the latest version of Arc GIS 10.4 and ERDAS IMAGINE 2016 (Version 16.00). Unsupervised and supervised classification was done for 1997 and 2017 images, respectively. Results: It was estimated from the topographic map of 1938 that the total lake boundary area was 230.15 km2. Digital image processing of 2017 satellite data revealed that the lake area of 76.9 km2 (32.45%) only remained degraded, extensively colonized by macrophytes. The land use/land cover maps of 1997 and 2017 revealed that lake area was significantly occupied by aquaculture which amounted to 84 km2 (36.53%) and 56 km2 (24.35%), respectively, and no aquaculture activity was reported from 1938 and 1967 toposheets. Interpretation: The geospatial analysis data gives accurate and reliable information and associated factors. The spatio-temporal analysis data provide a significant foundation for monitoring activities in other lake systems, and are applicable to monitoring wetland use patterns in other sites of international importance. Key words: Eutrophication, Geospatial technology, Kolleru wetland, Macrophytes, Remote sensing

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Section: Add-on Informationcontrasting

confidence: 56%

Monitoring of current land use pattern of Ramsar designated Kolleru Wetland, India using geospatial technologies

Shivakrishna¹,

Ramteke²,

Kesavan³

et al. 2021

JEB

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“…Hence, other anthropogenic activities, such as agriculture, urban expansion and tourism, contributed greatly to this reduction along the northern coast of the State of Pernambuco. In contrast to observed in the the largest fresh water body in India, Kolleru Lake, where 55.3% of the lake area was converted in rice field or aquaculture ponds (Jayanthi, Rekha, Kavitha & Ravichandran 2006).…”

Section: Discussionmentioning

confidence: 78%

Impact of aquaculture on mangrove areas in the northern Pernambuco Coast (Brazil) using remote sensing and geographic information system

Guimarães

Travassos

Souza-Filho

et al. 2009

Aquaculture Research

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The conversion of mangrove areas into shrimp farming ponds has been indicated as the main activity responsible for the reduction in the area of this ecosystem along the northeastern coast of Brazil. The present study was conducted using remote sensing methods and a geographical information system with the aim of quantifying the participation of this activity in the reduction of the mangrove areas along the northern coast of the State of Pernambuco (northeast, Brazil), where shrimp farming has been implanted in last recent years. From 1973 to 2005, there was reduction of about 2.052 ha of mangrove, 197 ha of which were converted into shrimp ponds. Thus, the real contribution of shrimp farming to this reduction was just 9.6% of the total area. Other anthropogenic activities, such as agriculture, urban expansion and tourism, contributed greatly to the reduction in the mangrove areas along the northern coast of the State of Pernambuco.

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“…It is cost-effective to control soil erosion, mainly for an agricultural dominant land-use class (Shen et al 2014;Sorando et al 2019). However, there is a requirement of knowledge to prevent soil erosion in Kolleru lake basin studies are imperative (Jayanthi et al 2006). At present, in the Kolleru Lake catchment, there is no gauge station to estimate soil loss; however, conventional methods are time consuming and cost-effective.…”

Section: Introductionmentioning

confidence: 99%

Estimation of soil erosion and sediment yield concentration across the Kolleru Lake catchment using GIS

2021

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Flat lakes with a large catchment area are especially affected by sediment inputs. The Kolleru Lake catchment (south-eastern India) with a surface area of approximately 6121 km2 belongs to such types of lake basins. The study’s main objective was the assessment of both soil erosion and sediment yield concentration rate of the Kolleru catchment. The study was conducted using the revised universal soil loss equation (RUSLE) model due to its simple and good applicability for soil erosion estimation. Data such as rainfall, soil texture, topography, crop cover management, and support practice factor were integrated into the modeling using RUSLE and ArcGIS. Field data were used both to analyze the soil texture and the slope length factor. The results showed that average annual soil loss was estimated with 13.6 t/ha/year, classifying the Kolleru Lake Basin under a very high erosion rate category. About 38% of the catchment area has encountered slight soil loss. Areas covered with moderate, strong, severe, very severe erosion potential zones are 29%, 17%, 9%, and 5.5%, respectively. This study identified that upland areas with less vegetation cover exported high potential erosion rates. Unlike the soil loss, the sediment delivery ratio values for the catchment were not affected by land use, while it showed a strong relationship with the catchment drainage system. Whereas, the average annual sediment yield was determined with 7.61 t/ha/year, had identified with the same pattern of the soil erosion. Catchment topography, vegetation, drainage system, soil properties, and land use cover played a major role in exporting the highest sedimentation. The outcome of these studies can be used among others to identify critical erosion areas on a pixel basis for the planning of erosion management practices.

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Assessment of impact of aquaculture on Kolleru Lake (India) using remote sensing and Geographical Information System

Cited by 37 publications

References 20 publications

Monitoring of current land use pattern of Ramsar designated Kolleru Wetland, India using geospatial technologies

Monitoring of current land use pattern of Ramsar designated Kolleru Wetland, India using geospatial technologies

Impact of aquaculture on mangrove areas in the northern Pernambuco Coast (Brazil) using remote sensing and geographic information system

Estimation of soil erosion and sediment yield concentration across the Kolleru Lake catchment using GIS

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