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Application of Remote Sensing in Detection of Forest Cover Changes Using Geo-Statistical Change Detection Matrices - A Case Study of Devanampatti Reserve Forest, Tamilnadu, India

机译:遥感在基于地统计变化检测矩阵的森林覆盖变化检测中的应用-以印度泰米尔纳德邦德瓦纳帕蒂保护区为例

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The continuous observations on forest cover through the spaceborne technology known as remote sensing provide relative accuracy for temporal variation, changes and spatial distribution of forest biodiversity. The present study describes the temporal changes in forest cover and their spatial distribution in Devanampatti Reserved Forest in Tiruvannamalai District of Tamilnadu using change detection matrices technique by integrating remote sensing and GIS. Remote sensing technology provides satellite imagery with synaptic coverage on large area and high spatial resolution to identify individual species in biodiversity and delineating various forest types at national, regional and local level, and that facilitates to manage and conserve the forest biodiversity worldwide. The present study carried out using LandsatTM and ETM+ imageries acquired in 1977,1991 and 2006 during the same seasonal period. The present study has brought the view of temporal variation of forest cover and its distribution in various periods. This also revealed the changes and spatial distribution of particular forest types into what types of spatial feature from the past period to present. The study showed rapid changes of forest cover between the two decades; the result of change detection analysis reveals that the deciduous forest cover spatially distributed to about 57.35 km~2 in 1977 and it tremendously decreased to 29.60 km~2 in 1991 and 23.56 km~2 in 2006. The decreasing rate per year between 1977 and 2006 was estimated at 0.65 %. The area of mixed forest cover was estimated to be about 35.30 km~2 in 1977, which decreased to 41.75 km~2 in 1991 and 18.96 km~2 in 2006 with the decreasing rate of 0.018% per year. Unfortunately, the rich forest biodiversity degraded into sandy gravel or eroded landform, and range of area cover was about 18.93 km~2 in 1977 and 24.30 km~2 in 2006 and rocky exposure increased in its area from 44.67 km~2 in 1977 to 77.79 km~2 in 2006. The changing rate of these landforms increased per year to about 0.11 % and 0.63 % respectively.
机译:通过称为遥感的星载技术对森林覆盖率的连续观测为森林生物多样性的时间变化,变化和空间分布提供了相对准确度。本研究利用遥感和GIS相结合的变化检测矩阵技术,描述了泰米尔纳德邦蒂鲁凡纳玛莱地区德瓦纳帕蒂保护林的森林覆盖物的时空变化及其空间分布。遥感技术为卫星图像提供了大面积的突触覆盖和高空间分辨率,以识别生物多样性中的单个物种并在国家,区域和地方各级勾勒出各种森林类型,并有助于管理和保护全世界的森林生物多样性。本研究使用同一季节的1977、1991和2006年获得的LandsatTM和ETM +图像进行。本研究提出了森林覆盖物在不同时期的时空变化及其分布的观点。这也揭示了从过去时期到现在,特定森林类型的变化和空间分布成为什么类型的空间特征。研究表明,这两个十年之间森林覆盖率迅速变化。变化检测分析的结果表明,1977年落叶林的空间分布在57.35 km〜2左右,1991年急剧下降到29.60 km〜2,2006年急剧下降到23.56 km〜2。1977-2006年间年均下降速度估计为0.65%。 1977年混合林覆盖面积估计为35.30 km〜2,1991年减少到41.75 km〜2,2006年减少到18.96 km〜2,每年减少0.018%。不幸的是,丰富的森林生物多样性退化为沙砾或侵蚀的地貌,1977年的覆盖范围约为18.93 km〜2,2006年为24.30 km〜2,岩石暴露范围从1977年的44.67 km〜2增加到77.79。 2006年,地表变化约为km〜2。这些地貌的变化率每年分别增加到约0.11%和0.63%。

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