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Investigating rapid deforestation and carbon dioxide release in Bangladesh using geospatial information from remote sensing data

机译:使用来自遥感数据的地理空间信息调查孟加拉国的快速砍伐和二氧化碳释放

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Rapid deforestation over the last few years due to the massive influx of refugees from neighboring Myanmar has been reported and is seen as a precursor to environmental disaster, raising the need for more effective monitoring of forest areas. The availability of data from several space-borne synthetic aperture radar (SAR) missions allow enhanced monitoring of forest areas. The objective of this study was to map deforestation in two selected areas located in northeast and southeast Bangladesh using Sentinel-1 imageries and determine the applicability of SAR in forest monitoring in Bangladesh. Towards these purpose satellite imageries from 2017 and 2018 collected by Sentinel-1A and Sentinel-1 Band SAR data in dual-polarization mode were used. In the northeastern area of interest, temporary deforestation was detected, which had occurred in low lying areas due to prolonged flooding. The second area of interest, in the southeast, revealed man-made deforestation in high land areas on an immense scale due to the influx and settlement of seven hundred thousand refugees. The results of the two sub-studies demonstrate the applicability and need of SAR data to effectively monitor deforestation in Bangladesh especially as it allows isolating natural and anthropogenic deforestation.
机译:由于来自邻近缅甸的难民涌入的难民涌入的迅速森林砍伐,并被视为环境灾害的前兆,提高了对森林地区更有效的监测的需要。来自多个空间合成孔径雷达(SAR)任务的数据的可用性允许增强对森林地区的监测。本研究的目的是使用Sentinel-1 Imageries映射位于东北和东南孟加拉国的两个选定区域的砍伐森林,并确定SAR在孟加拉国森林监测中的适用性。在2017年和2018年由Sentinel-1A和Sentinel-1频带SAR数据中采用二极化模式,从2017年和2018年朝这些目的卫星成像。在东北地区的兴趣领域,检测到临时砍伐森林,由于延长洪水,在低洼地区发生。在东南部的第二个兴趣领域揭示了在巨大规模的高地地区的人造森林砍伐,由于七十万难民占据了七十次。两种子研究的结果展示了SAR数据的适用性和需求,以有效地监测孟加拉国的砍伐森林,特别是因为它允许分离自然和人为砍伐森林砍伐。

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