Persistence and spatio-temporal change intensity analysis of woody vegetation cover in Barbados

IF 0.4 Q4 GEOGRAPHY
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引用次数: 0

Abstract

This study applied a supervised machine learning classification and intensity analysis of Landsat imageries to examine the spatio-temporal dynamics of woody vegetation cover in Barbados for two-time intervals: 2001-2015 and 2015-2019. The results show a larger persistence and concentration of woody vegetation in the East Coast (the Scotland District) of Barbados. Woody vegetation cover declined by approximately 11 km2 from 2001 to 2015, and 1.5 km2 from 2015 to 2019. Intensity analysis showed that total observed change in the landscape was slow in the first time interval but fast in the second. Categorical gain-loss showed a systematic targeting between woody vegetation and other vegetation. Built-up and woody vegetation, however, systematically avoided each other. Woody vegetation remained active in both time intervals but the intensity of change was larger in the second interval. In conclusion, the systematic targeting between woody vegetation and other vegetation (mainly agriculture) provides a focus for management, conservation and spatial expansion of the latter.
巴巴多斯地区木本植被覆盖持续度及时空变化强度分析
本研究应用Landsat图像的监督机器学习分类和强度分析,研究了2001-2015年和2015-2019年两个时间间隔巴巴多斯木本植被覆盖的时空动态。结果表明,巴巴多斯东海岸(苏格兰区)的木本植被具有较大的持久性和集中度。2001 - 2015年,木本植被覆盖减少约11 km2, 2015 - 2019年减少约1.5 km2。强度分析表明,景观总观测变化在第一个时间区间缓慢,在第二个时间区间迅速。分类损益表现出木本植被与其他植被的系统目标性。然而,建筑植被和木本植被系统地相互回避。木本植被在两个时间区间均保持活跃,但在第二个时间区间变化强度较大。综上所述,木本植被与其他植被(主要是农业植被)之间的系统定位为后者的管理、保护和空间扩展提供了重点。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
22
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