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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Forest fire monitoring in Sirohi district, Rajasthan using remote sensing data
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Forest fire monitoring in Sirohi district, Rajasthan using remote sensing data

机译:拉贾斯坦邦Sirohi地区森林火灾的遥感监测

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Forest is one of the most important renewable natural resources and plays a significant role in the human life and environment. In recent years, prolonged dry weather together with rapidly expanding exploitation of tropical forests and the demand for conversion of forest to other land uses have resulted in significant increase in forest fire size, frequency and related environmental impacts. Recurrent fires decrease the green cover by preventing regeneration and lead to the slow death of the forest1. The frequency of fires in Indian forests today is far greater than at any time in the past. Human influence has now become so pervasive that most fires are ‘unnatural’ like in arid and semi-arid regions of India. There is a need to focus on studies related to monitoring and management of forest fires of Indian forests. In this regard, use of satellite remote sensing in view of its synoptic view and temporal frequency is realized as one of the potential tools in identification of burnt areas and potential fire zones. Few studies have been conducted in India to know burnt forest area assessment using high-resolution data from IRS satellites. Currently, several satellite-based sensors like LISS-III, AWiFS, MODIS, OCM, WIFS, AVHRR and MODIS provide synergistic data sets that have potential in forest detection and monitoring.
机译:森林是最重要的可再生自然资源之一,在人类生活和环境中发挥着重要作用。近年来,长时间的干旱天气以及对热带森林的快速开发利用以及将森林转换为其他土地用途的需求已导致森林火灾的规模,频率和相关环境影响显着增加。反复发生的大火通过阻止再生而减少了绿化覆盖,并导致森林的缓慢死亡1。今天,印度森林发生火灾的频率远高于过去任何时候。人类的影响力如今已变得如此普遍,以至于大多数大火都是“不自然的”,例如在印度的干旱和半干旱地区。有必要集中精力进行与印度森林森林火灾的监测和管理有关的研究。在这方面,鉴于天气概况和时间频率,卫星遥感的使用已成为识别燃烧区域和潜在火区的潜在工具之一。在印度,很少进行研究来了解使用IRS卫星的高分辨率数据进行的森林面积评估。当前,几种基于卫星的传感器,例如LISS-III,AWiFS,MODIS,OCM,WIFS,AVHRR和MODIS,提供了在森林检测和监测方面具有潜力的协同数据集。

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