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机构地区:[1]广东工业大学环境科学与工程学院环境工程系,广东广州510006 [2]中山大学地理与规划学院水资源与环境系,广东广州510275 [3]华南地区水循环与水安全广东省普通高校重点实验室,广东广州510275 [4]华南理工大学土木与交通学院,广东广州510640
出 处:《遥感技术与应用》2015年第4期798-809,共12页Remote Sensing Technology and Application
基 金:国家自然科学基金项目(51210013;50839005;51209095);国家科技支撑计划项目(2012BAC21B0103);水利部公益项目(201201094;201301002-02);广东省科技厅项目(2010B050300010);中英瑞气候变化适应项目"广东气候变化风险评估及适应对策研究"(ACCC/20100705-1)
摘 要:基于面向对象的影像分类技术与土地利用变化模型,选取处于剧烈变化环境下的东江流域为研究对象,对其1980~2008年的土地利用变化特征进行了研究。结果表明:(1)面向对象的遥感分类方法在SPOT5高分辨率遥感影像分类中具有较高的精度(总体精度达87.7%),可以有效避免"椒盐现象"发生;(2)1980~2008年东江流域的土地利用方式和空间格局发生了显著变化。耕地面积急剧减少了2 854.4km2,流失的耕地主要转化为了林地、城镇建设用地;园地面积减少了667km2,流失的园地主要转化为了林地;林地面积增加了1 988.7km2,呈波动变化;草地面积比由4.9%缩减为2.0%;水域面积先减少后增加;城镇用地呈快速增长趋势,年增长率高达186.23%。加强耕地保护和适度限制城镇用地增长对区域可持续发展至关重要。Based on the object-oriented classification technology and land-use change model,this paper focuses on Dongjiang river basin which is undergoing intense environmental change and analyzes its land use change characteristics from 1980 to 2008.The results shows that:1The object-oriented classification method of remote sensing in SPOT5high-resolution remote-sensing image classification has high accuracy(overall accuracy reaches 87.7%),and it can reduce effectively the"pepper and salt phenomenon".2Significant changes in both land use ways and temporal-spatial pattern have taken place in Dongjiang river basin during the period of 1980~2008.Dramatically the farmland decreased 2 854.4km2,most of which were converted into forestland and urban construction land.The garden land decreased 667km2,most of which were converted into forestland.The forestland increased 1 988.7km2,being in the state of fluctuations.The grassland ratio decreased from 4.9% to 2.0%.Water body first decreased and then increased.The urban construction land showed a trend of dramatic increase with an annual increasing rate of 186.23%.Enhancing farmland protection and placing appropriate restriction on urban construction land is of great very importance to regional sustainable development.
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