基于OpenstreetMap (OSM)的区域景观制图

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Agricultural and Environmental Information Systems Pub Date : 2019-01-01 DOI:10.4018/978-1-5225-7033-2.ch033
Di Yang
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引用次数: 1

摘要

大范围的高空间分辨率森林格局图是一项繁重的计算任务,但对大多数地区来说是至关重要的。在区域尺度上生成分类图存在两个主要困难:训练点集大和分类器建模计算成本高。作为最著名的志愿地理信息(VGI)倡议之一,OpenstreetMap不仅有助于道路网络分布,还有助于证明土地覆盖和土地利用的合理性。谷歌地球引擎是一个为基于云的地图设计的平台,具有强大的计算能力。在这项研究中,我们提出了一种利用OpenstreetMap与Google Earth Engine中存储的遥感数据集相结合的方法来生成森林覆盖地图和量化道路造成的森林碎片化。此外,将OpenStreetMap (OSM)与我们输出的森林空间格局层结合后产生的景观指标表明,尤卡坦半岛的森林破碎化程度很高。
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Mapping Regional Landscape by Using OpenstreetMap (OSM)
A forest patterns map over a large extent at high spatial resolution is a heavily computation task but is critical to most regions. There are two major difficulties in generating the classification maps at regional scale: large training points sets and expensive computation cost in classifier modelling. As one of the most well-known Volunteered Geographic Information (VGI) initiatives, OpenstreetMap contributes not only on road network distributions, but the potential of justify land cover and land use. Google Earth Engine is a platform designed for cloud-based mapping with a strong computing power. In this study, we proposed a new approach to generating forest cover map and quantifying road-caused forest fragmentations by using OpenstreetMap in conjunction with remote sensing dataset stored in Google Earth Engine. Additionally, the landscape metrics produced after incorporating OpenStreetMap (OSM) with the forest spatial pattern layers from our output indicated significant levels of forest fragmentation in Yucatan peninsula.
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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