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Detection of Mangrove Changes Using Multi Temporal Satellite Data: Effect of Shrimp Cultivation in North Western Province

机译:利用多时相卫星数据检测红树林变化:西北省虾类养殖的影响

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Habitat encroachment, socio-economic exploitation are well-known factors contributing to the decline of mangroves in Sri Lanka and it is important to identify the area and rate of destruction of the mangrove forests. This study focused to observe the changes of mangrove land cover in surrounding area of Chilaw lagoon in North Western province in Sri Lanka using multi temporal satellite imageries, Landsat MSS, Landsat TM, Landsat ETM and Landsat OLI in 1975, 1987, 2000 and 2014 respectively. Land use and land cover of the area were derived by unsupervised classification technique and validated by visual interpretation through high resolution Google Earth imageries. Tasseled Cap Transformation (TCT) was applied to images to enhance the distinguishing characteristics of wet surfaces and mangrove vegetation in assigning the land use categories for improved accuracy in image classification. Overall accuracies of classified images of Landsat TM (1987), Landsat ETM (2000) and Landsat OLI (2014) were 78 %, 80 % and 90 % respectively. The results showed a drastic change of 11% depletion of mangrove extent throughout the study area during the period of 1987-2000 where there was no significant change observed during the period of 2000-2014. The estimated deforestation rate of mangrove cover of-0.43 % was high and the average annual loss was 1.55 ha over a 27 year period (1987-2014). Intensive shrimp farming and urbanization were identified as the main causes for depletion of mangroves. Shrimp farms in 2014 were 455 ha which mainly emerged in mangrove sites. A low ratio of 1:1.33 of existing mangroves to shrimp farms indicates an adverse impact of shrimp farming on mangroves which subsequently affects the environmental sustainability within the study area. Finally, this study proved the potential use of satellite imageries to area quantification of mangrove vegetation in Sri Lankan context.
机译:生境的侵占,社会经济的剥削是导致斯里兰卡红树林数量下降的众所周知的因素,确定红树林的破坏面积和破坏速率很重要。这项研究的重点是分别使用1975、1987、2000、2014年和2014年的Landsat MSS,Landsat TM,Landsat ETM和Landsat OLI等多时相卫星图像来观察斯里​​兰卡西北部奇劳泻湖周围地区的红树林土地覆盖变化。 。该区域的土地利用和土地覆盖是通过无监督分类技术得出的,并通过高分辨率的Google Earth图像进行视觉解释进行了验证。将流苏帽变换(TCT)应用于图像,以增强湿地和红树林植被在分配土地利用类别中的区别性,从而提高图像分类的准确性。 Landsat TM(1987),Landsat ETM(2000)和Landsat OLI(2014)的分类图像的总体准确度分别为78%,80%和90%。结果表明,在整个研究区,1987年至2000年期间,红树林的枯竭程度发生了急剧变化,在2000年至2014年期间没有观察到显着变化。红树林覆盖率估计为-0.43%,很高,在27年期间(1987-2014年),年平均损失为1.55公顷。虾类集约化和城市化被认为是造成红树林枯竭的主要原因。 2014年的虾场面积为455公顷,主要出现在红树林地区。现有的红树林与虾养殖场的比例为1:1.33,这表明虾养殖对红树林有不利影响,继而影响了研究区域内的环境可持续性。最后,这项研究证明了在斯里兰卡背景下卫星图像在红树林植被面积定量中的潜在用途。

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