首页|基于时间序列的广西桉树人工林识别及时空变化分析

基于时间序列的广西桉树人工林识别及时空变化分析

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高效且准确地长时间监测桉树人工林面积及其时空动态变化是保持生态系统稳定及维持桉树长期稳定可持续的重要前提.基于Google Earth Engine(GEE)云平台,以Landsat系列遥感影像为数据源,采用时间序列分析方法提取广西2000-2020年桉树人工林,并分析其时空分布格局变化.结果表明:2007、2010、2015、2020年识别结果的总体精度均高于85%,分类精度较高,识别效果较好,基于时间序列分析的桉树人工林识别方法具有较高的准确性;2000-2020年广西桉树人工林面积快速增长,2000-2015年桉树人工林面积逐年增长,2015年之后呈现平缓波动变化趋势;广西桉树人工林种植范围不断扩张,各个地级市桉树人工林面积均呈现上升趋势,北回归线以南地区尤为显著.在地形分布方面,桉树人工林主要分布于斜坡区域.研究结果可为区域制定合理可持续的桉树人工林种植措施提供参考依据.
Temporal and spatial variation analysis of Eucalyptus plantation identification in Guangxi based on time series
Efficient and accurate long-term monitoring of eucalyptus plantation area and exploring its spatiotemporal dynamic play an important role in maintaining both ecosystem stability and long-term stability of eucalyptus.Utilizing the Google Earth Engine(GEE)cloud platform,landsat series data was used to identify eucalyptus plantations in Guangxi from 2000 to 2020 by time series analysis method,and the spatial and temporal distribution pattern were analyzed.The results show that the overall accuracy of the identification results in 2007,2010,2015 and 2020 is higher than 85%,indicating a good performance of time series analysis in iden-tifying short-rotation eucalyptus plantations.Eucalyptus plantations in Guangxi expands rapidly from 2000 to 2020.The area increases gradually from 2000 to 2015,and a gentle fluctuation trend exists after 2015.Eucalyptus plantation distributes widely in Guangxi,especially in the south of the Tropic of Cancer.From the perspective of terrain distribution,eucalyptus plantation distrib-utes widely in the slope area.This work provides scientific reference for formulating reasonable and sustainable management mea-sures of eucalyptus plantation in this region.

Guangxieucalyptus forest identificationGoogle Earth Enginespatial pattern

黄秋霞、蔡文华、王嘉丽、俎佳星、杨元征

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广西民族师范学院历史文化与旅游学院, 广西崇左 532200

北部湾环境演变与资源利用教育部重点实验室(南宁师范大学), 南宁 530001

广西地表过程与智能模拟重点实验室(南宁师范大学), 南宁 530001

广西 桉树林识别 Google Earth Engine 空间格局

国家自然科学基金资助项目广西"八桂学者"景观生态学创新团队项目广西科技基地和人才专项广西科技基地和人才专项

31800395桂科AD19110143桂科AD20297066

2024

中国科技论文
教育部科技发展中心

中国科技论文

影响因子:0.466
ISSN:2095-2783
年,卷(期):2024.19(1)
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