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首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >MULTI-TEMPORAL SPATIAL PATTERN ANALYSIS OF TULUM'S TROPICAL COASTAL LANDSCAPE
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MULTI-TEMPORAL SPATIAL PATTERN ANALYSIS OF TULUM'S TROPICAL COASTAL LANDSCAPE

机译：图卢姆热带沿海景观的多时空格局分析

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摘要

The tropical coastal landscape of Tulum in Quintana Roo, Mexico has a high ecological, economical, social and cultural value, it provides environmental and tourism services at global, national, regional and local levels. The landscape of the area is heterogeneous and presents random fragmentation patterns. In recent years, tourist services of the region has been increased promoting an accelerate expansion of hotels, transportation and recreation infrastructure altering the complex landscape. It is important to understand the environmental dynamics through temporal changes on the spatial patterns and to propose a better management of this ecological area to the authorities. This paper addresses a multi-temporal analysis of land cover changes from 1993 to 2000 in Tulum using Thematic Mapper data acquired by Landsat-5. Two independent methodologies were applied for the analysis of changes in the landscape and for the definition of fragmentation patterns. First, an Iteratively Multivariate Alteration Detection (IR-MAD) algorithm was used to detect and localize land cover changeo-change areas. Second, the post-classification change detection evaluated using the Support Vector Machine (SVM) algorithm. Landscape metrics were calculated from the results of IR-MAD and SVM. The analysis of the metrics indicated, among other things, a higher fragmentation pattern along roadways.
机译：墨西哥金塔纳罗奥州图卢姆的热带沿海景观具有很高的生态，经济，社会和文化价值，它在全球，国家，区域和地方各级提供环境和旅游服务。该地区的景观不均一，呈现出随机的碎片格局。近年来，该地区的旅游服务有所增加，促进了旅馆，交通和娱乐基础设施的加速扩张，改变了复杂的景观。重要的是要了解空间格局随时间变化的环境动态，并向当局建议对该生态区进行更好的管理。本文利用Landsat-5采集的Thematic Mapper数据，对多伦县1993年至2000年的土地覆盖变化进行了多时间分析。两种独立的方法被应用于景观变化的分析和碎片格局的定义。首先，使用迭代多元变更检测（IR-MAD）算法来检测和定位土地覆被变化/不变区域。其次，使用支持向量机（SVM）算法评估分类后更改检测。根据IR-MAD和SVM的结果计算景观指标。对指标的分析表明，除其他外，沿道路的碎片化程度更高。

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