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遥感技术与应用  2020, Vol. 35 Issue (3): 567-575    DOI: 10.11873/j.issn.1004-0323.2020.3.0567
LUCC专栏     
巴基斯坦土地覆盖数据产品季节性精度评价
郭紫燕1(),杨康1,2,3(),刘畅1,程亮1,2,3,李满春1,2,3
1.南京大学 地理与海洋科学学院,江苏 南京 210023
2.江苏省地理信息技术重点实验室,江苏 南京 210023
3.中国南海研究协同创新中心,江苏 南京 210023
Seasonal Accuracy Assessments of Three Land Cover Datasets in Pakistan
Ziyan Guo1(),Kang Yang1,2,3(),Chang Liu1,Liang Cheng1,2,3,Manchun Li1,2,3
1.School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
2.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
3.Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing 210023, China
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摘要:

GlobeLand30-2010(30 m)、FROM-GLC-2010(30 m)和GlobCover-2009(300 m)是3套应用广泛的全球高精度土地覆盖数据产品。以巴基斯坦为研究区,从2009~2011年30 m Landsat-5、Landsat-7多光谱遥感影像共122景选取了夏冬两季各1 000个样本点,评价了3套土地覆盖数据产品的季节性分类精度。结果表明:3套产品在巴基斯坦地区夏冬两季总分类精度差异不大,总体来说GlobeLand30-2010(63.9% vs. 65.6%)与FROM-GLC-2010(59.0% vs. 61.2%)的总精度夏季略高于冬季,GlobCover-2009的总精度冬季略高于夏季(59.5% vs. 59.1%)。此外,3套产品中GlobeLand30-2010对耕地、人造地表和水体有更好的分类效果,FROM-GLC-2010对植被和冰川积雪的分类更为准确,GlobCover-2009对裸地的分类更为准确;3套产品对耕地、裸地和冰川积雪分类更符合冬季的真实情况,对植被、水体分类更符合夏季的真实情况,人造地表分类无明显的季节差异。巴基斯坦土地覆盖精度评价的样本点密度应达到1个/1 000 km2

关键词: 土地覆盖数据产品精度分析季节性样本点巴基斯坦    
Abstract:

Global land cover datasets play an important role in the fields of ecology, climate and resources. GlobeLand30-2010 (30 m), FROM-GLC-2010 (30 m) and GlobCover-2009 (300 m) are three global high-precision land cover datasets with a wide range of applications. In order to judge whether these data sets are sufficient to describe the real situation of land cover in different seasons, the inter-seasonal accuracy of the aforementioned three global land cover datasets using Pakistan as a representative study area was evaluated. A total of 1 000 land cover sample points were selected from 122 Landsat-5, Landsat-7 multi-spectral remote sensing images during 2009~2011 to generate summer and winter land cover classifications.The results show that the accuracies of summer and winter land cover classifications are different in Pakistan. The overall land cover classification accuracies of GlobeLand30-2010 (65.6% vs. 63.9%) and FROM-GLC-2010 (61.2% vs. 59.0%) in summer are slightly higher than those in winter. The overall accuracy of GlobCover-2009 (59.5% vs. 59.1%) in winter is slightly higher than that in summer. GlobeLand30-2010 performs best in classifying cropland, impervious surface, and water body, FROM-GLC-2010 performs best in classifying vegetation, glaciers, and snow, and GlobCover-2009 performs best in classifying bare land. The classification of cropland, bare land, glaciers, and snow in the three datasets is more in line with the real situation in winter than in summer; the classification of vegetation and water bodies is more in line with the real situation in summer; there is no obvious seasonal difference in impervious surface. There should be at least one sample point per 1 000 square kilometers.

Key words: Land cover datasets    Accuracy assessment    Seasonal change    Sample points    Pakistan
收稿日期: 2019-03-25 出版日期: 2020-07-10
ZTFLH:  TP79  
基金资助: 国家重点研发计划项目(2017YFB0504205)
通讯作者: 杨康     E-mail: guoziyannj@gmail.com;kangyang@nju.edu.cn
作者简介: 郭紫燕(1995-),女,江苏连云港人,博士研究生,主要从事土地利用/土地覆盖遥感监测研究。E?mail:guoziyannj@gmail.com
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引用本文:

郭紫燕,杨康,刘畅,程亮,李满春. 巴基斯坦土地覆盖数据产品季节性精度评价[J]. 遥感技术与应用, 2020, 35(3): 567-575.

Ziyan Guo,Kang Yang,Chang Liu,Liang Cheng,Manchun Li. Seasonal Accuracy Assessments of Three Land Cover Datasets in Pakistan. Remote Sensing Technology and Application, 2020, 35(3): 567-575.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2020.3.0567        http://www.rsta.ac.cn/CN/Y2020/V35/I3/567

产品GlobCover-2009FROM-GLC-2010GlobeLand30-2010统一分类
类型

水田

雨林农田

镶嵌型农田(50%~70%)/植被(20%~50%)

农田耕地耕地

镶嵌型植被(草原/灌木林/森林)

(50%~70%)/农田(20%~50%)

开阔阔叶常绿阔叶林或半落叶林(>15%)(>5 m)

阔叶落叶林(>40%)(>5 m)

封闭型针刺常绿林(>40%)(>5 m)

开阔混合阔叶林和针刺林(>15%)(>5 m)

镶嵌型森林或灌木丛(50%~70%)/草地(20%~50%)

镶嵌型草原(50%~70%)/森林或灌木林(20%~50%)

(阔叶或针刺,常绿或落叶)灌木丛(>15%)(<5 m)

开放型草本植被(草原,热带稀树草或地衣/苔藓)(>15%)

稀疏植被(<15%)

定期淹没或淹水的土壤封闭开放草原或木质植被 新鲜,咸水或盐水(>15%)

森林

草地

灌木

森林

草地

灌木地

苔原

植被
人造表面及相关区域(城市面积>50%)不透水面人造地表人造地表
裸地裸地裸地裸地

水体

封闭阔叶林或灌木丛永久性淹水 - 盐水或微咸水(>40%)

水体

水体

湿地

水体
永久冰雪积雪冰川冰川和永久积雪冰川积雪
表 1  3套土地覆盖数据产品分类体系及统一分类体系
图1  巴基斯坦土地覆盖情况
夏冬耕地裸地植被水体人造地表冰川积雪夏季总计
耕地91260000117
裸地343790013462
植被295160207266
水体050341040
人造地表000052052
冰川积雪022005660
冬季总计96565171365376997
表2  巴基斯坦土地覆盖样本点冬季—夏季转移矩阵
精度指标季节

GlobCover

-2009

FROM-GLC-2010

GlobeLand

30-2010

总精度59.161.265.6
59.559.063.9
Kappa系数0.410.440.52
0.380.400.48
表3  巴基斯坦3套土地覆盖数据产品2季精度分析结果
图2  3套土地覆盖数据产品夏冬两季用户精度和生产者精度

土地覆盖

类型

最优土地覆盖数据产品更适用季节

GlobCover

-2009

FROM-GLC-2010

GlobeLand

30-2010

耕地
裸地
植被
人造地表
水体
冰川积雪
表 4  巴基斯坦不同土地覆盖类型使用产品和季节
图3  不同分层采样点数下3套土地覆盖数据产品在夏冬两季的总精度
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