普洱多源土地覆盖产品一致性分析与精度评价

doi:10.13466/j.cnki.lyzygl.2023.01.020

林业资源管理 ›› 2023, Vol. 0 ›› Issue (1): 173-182.doi: 10.13466/j.cnki.lyzygl.2023.01.020

• 技术应用 • 上一篇

普洱多源土地覆盖产品一致性分析与精度评价

闫明¹^,²^,³(), 庞勇²^,³(), 何云玲⁴, 蒙诗栎²^,³

1.云南大学国际河流与生态安全研究院,昆明 650500
2.中国林业科学研究院资源信息研究所,北京 100091
3.国家林业和草原局林业遥感与信息技术重点实验室,北京 100091
4.云南大学地球科学学院,昆明 650500

收稿日期:2022-12-30 修回日期:2023-02-14 出版日期:2023-02-28 发布日期:2023-05-05
通讯作者: 庞勇(1976-),男,安徽太和人,研究员,博士生导师,主要研究方向为林业遥感机理模型、激光雷达信号处理。Email:pangy@ifrit.ac.cn
作者简介:闫明(1997-),男,河南南阳人,硕士研究生,主要研究方向为林业遥感分类。Email:a18338191276@163.com
基金资助:
国防科工局高分专项“普洱高分遥感真实性检验站项目”(21-Y30A02- 9001-20/22-6);亚太森林恢复与可持续管理网络项目“面向可持续经营的区域森林观测”(2018P1-CAF)

Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Products in Pu'er

YAN Ming¹^,²^,³(), PANG Yong²^,³(), HE Yunling⁴, MENG Shili²^,³

1. Institute of International Rivers and Eco-Security,Yunnan University,Kunming 650500,China
2. Research Institute of Forest Resources Information Techniques,Chinese Academy of Forestry,Beijing 100091,China
3. Key Laboratory of Forestry Remote Sensing and Information System,National Forestry and Grassland Administration,Beijing 100091,China
4. School of Earth Sciences,Yunnan University,Kunming 650500,China

Received:2022-12-30 Revised:2023-02-14 Online:2023-02-28 Published:2023-05-05

摘要/Abstract

摘要：

数据质量评价是土地覆盖产品选择的依据和应用的前提。以云南省普洱市为研究区,采用面积相关系数、类型混淆分析、空间模式一致性分析以及混淆矩阵等方法,根据机载影像分类和亚米级影像目视判读结果,分析了该区的4种10m空间分辨率的土地覆盖产品(Pu'er LC,Esri_Land_Cover_2020_10m,ESA World Cover和Dynamic World)的精度和一致性。结果表明:1)4种土地覆盖产品的土地类型和分布格局基本一致,以林地为主,灌木与草地、耕地次之,面积相关性较高,相关系数均大于0.9;2)空间高一致性区域占普洱总面积的64.87%,以林地为主,空间一致性较低的区域内灌木与草地、林地、耕地、建设用地等土地覆盖类型交错分布;3)精度验证结果表明,Pu'er LC数据总体精度最高(88.52%),其他3个产品总体精度相差不大,在75%左右。研究可以为土地覆盖数据质量评价和使用等方面提供参考和借鉴。

关键词: 土地覆盖, 多源数据, 一致性分析, 精度评价, 普洱市

Abstract:

Data quality evaluation is the basis of land cover product selection and the premise of application.Taking Pu 'er City of Yunnan Province as the research area,weadopted the correlation coefficient of area,confusion analysisof classification type,consistency analysis for spatial pattern,and confusion matrix as the indicators for evaluation.Based on the classification results using high spatial resolution airborne images and the sub-meter visual interpretation results,we analyzed the classification accuracy and spatial consistency of 4 land cover products with 10m spatial resolution (Pu'er LC,Esri_Land_Cover_2020_10m,ESA World Cover,Dynamic World) in Pu'er City,Yunnan Province.Ourresults showed that:1) Land types and distribution patterns of 4 land cover products were basically consistent,mainly including woodland,followed by shrub,grassland and cultivated land.The area correlations were relatively high,all the correlation coefficients were greater than 0.8.2) The high spatial consistency area accounted for 64.87% of the Pu 'er city,mostly was woodland;In the low spatial consistency regions,shrub and grassland,woodland,cultivated land,construction land and other land cover types were staggered.3) The absolute accuracy evaluation showed that the overall accuracy of Pu'd LC data was the highest (88.52%),and rest of the three products had the classification accuracy for about 75%.This paper provided a good reference for the quality evaluation and the selection for land cover products.

Key words: land cover, multi-source data, consistency analysis, accuracy evaluation, Pu'er City

中图分类号:

P237

闫明, 庞勇, 何云玲, 蒙诗栎. 普洱多源土地覆盖产品一致性分析与精度评价[J]. 林业资源管理, 2023, 0(1): 173-182.

YAN Ming, PANG Yong, HE Yunling, MENG Shili. Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Products in Pu'er[J]. FOREST RESOURCES WANAGEMENT, 2023, 0(1): 173-182.

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参考文献 29

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产品名称	研发机构	基准年份	使用数据源	分辨率/m	分类方法	总体精度/%
Esri_Land_Cover_2020_10m	ESRI公司	2020	Sentinel-2	10	深度学习算法	86.0
ESA World Cover	欧洲航天局等	2020	Sentinel-1/2	10	深度学习建模算法	74.4
Dynamic World	Google Earth	2020	Sentinel-2	10	深度学习建模算法	73.8
Pu'er LC	普洱高分遥感站	2020	Sentinel-2	10	随机森林算法	88.2

数据集	Pu'er LC	Dynamic World	ESA World Cover	Esri_Land_Cover _2020_10m
Pu'er LC	1.000	0.953	0.976	0.972
Dynamic World	0.953	1.000	0.996	0.997
ESA World Cover	0.976	0.996	1.000	0.998
Esri_Land_Cover_2020_10m	0.972	0.997	0.998	1.000

数据集	Esri_Land_Cover_2020_10m		ESA World Cover		Dynamic World		Pu'er LC
数据集	PA/%	UA/%	PA/%	UA/%	PA/%	UA/%	PA/%	UA/%
林地	97.91	86.35	99.16	82.29	99.58	78.81	93.31	98.67
灌木与草地	37.50	57.69	32.50	70.27	23.08	51.43	78.75	76.83
建设用地	91.43	57.14	51.43	100.00	94.29	67.35	82.86	93.55
耕地	30.30	37.04	72.73	66.67	27.27	56.25	81.82	64.29
裸地	0.00	0.00	76.92	30.30	0.00	0.00	84.62	57.89
水体	66.67	100.00	27.78	100.00	77.78	100.00	94.44	94.44
OA/%	76.08		76.56		75.00		88.52
Kappa系数	0.593		0.593		0.547		0.819

数据集	Esri_Land_Cover_2020_10m		ESA World Cover		Dynamic World		Pu'er LC
数据集	PA/%	UA/%	PA/%	UA/%	PA/%	UA/%	PA/%	UA/%
林地	96.56	90.97	97.05	89.57	98.53	87.17	91.40	98.67
灌木与草地	57.89	45.45	42.11	44.94	33.33	38.75	66.32	58.88
建设用地	96.43	77.14	23.21	100.00	96.43	80.60	85.71	97.96
耕地	35.87	66.00	68.48	74.12	42.86	66.10	86.96	71.43
裸地	6.67	50.00	80.00	20.00	20.00	100.00	86.67	56.52
水体	75.00	100.00	42.50	100.00	82.50	100.00	92.50	100.00
OA/%	80.28		76.60		79.91		86.96
Kappa系数	0.673		0.611		0.656		0.796

普洱多源土地覆盖产品一致性分析与精度评价

Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Products in Pu'er

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图/表 11

参考文献 29

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统一代码	统一类别	Esri_Land_Cover_2020_10m		ESA World Cover		Dynamic World		Pu'er LC
统一代码	统一类别	代码	类别	代码	类别	代码	类别	代码	类别
1	林地	2		20	林地	1	林地	1	针叶林
			林地					2	阔叶林
								3	针阔混交林
2	灌木与草地	6	灌木	40	灌木	5	灌木	4	灌木与草地
2	灌木与草地	3	草地	30	草地	2	草地	5	茶园
3	建设用地	7	建筑	80	建筑	6	建筑	6	建设用地
4	耕地	5	农作物	10	农作物	4	农作物	7	耕地
5	裸地	8	裸地	90	裸地	7	裸地	8	裸地
6	水体	1	水体	60	水体	0	水体	9	水体
7	其他类别	4	湿地	50	草本湿地	3	湿地
		4	湿地	70	苔原
		9	雪/冰	70	苔原
		9	雪/冰	95	红树林	8	雪/冰
		10	云	95	红树林
		10	云	100	雪/冰

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地物类别	机载样本集	卫星影像样本集
林地	239	407
灌木与草地	80	95
建设用地	35	56
耕地	33	92
裸地	13	15
水体	18	40
总计	418	705