基于小流域抽样单元的中国FROM-GLC30数据精度评价

doi:10.12082/dqxxkx.2021.200100

地球信息科学学报 ›› 2021, Vol. 23 ›› Issue (3): 524-535.doi: 10.12082/dqxxkx.2021.200100

基于小流域抽样单元的中国FROM-GLC30数据精度评价

郭紫甜¹^,²(), 王春梅¹^,²^,³^,^*(), 刘欣¹^,², 庞国伟¹^,²^,³, 朱梦阳¹^,², 王晋卿²

1.陕西省地表与环境承载力重点实验室,西北大学,西安 710127
2.西北大学城市与环境学院,西安 710127
3.旱区生态水文与灾害防治国家林业和草原局重点实验室,西安 710048

收稿日期:2020-03-03 修回日期:2020-07-06 出版日期:2021-03-25 发布日期:2021-05-25
通讯作者: 王春梅 E-mail:jyguozitian@163.com;cmwang@nwu.edu.cn
作者简介:郭紫甜（1995- ）,女,江苏江阴人,硕士生,主要从事遥感和GIS在土壤侵蚀中的应用研究。E-mail: jyguozitian@163.com
基金资助:
中国科学院战略性先导科技专项(A类)(XDA20040202);国家自然科学基金项目(41977062);国家自然科学基金项目(441601290);国家大学生创新创业训练计划项目(201910697042)

Accuracy Assessment of FROM-GLC30 Dataset based on Small Watershed Sampling Units in China

GUO Zitian¹^,²(), WANG Chunmei¹^,²^,³^,^*(), LIU Xin¹^,², PANG Guowei¹^,²^,³, ZHU Mengyang¹^,², WANG Jinqing²

1. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, China
2 College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
3 Key Laboratory of National Forestry and Grassland Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi'an 710048, China

Received:2020-03-03 Revised:2020-07-06 Online:2021-03-25 Published:2021-05-25
Contact: WANG Chunmei E-mail:jyguozitian@163.com;cmwang@nwu.edu.cn
Supported by:
The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040202);National Natural Science Foundation of China(41977062);National Natural Science Foundation of China(441601290);National College Student Innovation and Entrepreneurship Training Program(201910697042)

摘要/Abstract

摘要：

土地覆盖数据是全球环境变化相关研究和应用的重要数据基础,在诸多领域中被广泛运用。FROM-GLC30 2017数据是最新的全球高分辨率（30 m）公开土地覆盖数据集之一。土地覆盖数据集的精度是其在不同领域应用中的重要问题。本研究旨在探讨FROM-GLC30 2017数据集精度在全国范围内的空间分布,并比较不同土地覆盖类型精度的区域差异。本研究以亚米级高分辨率遥感影像为基础,对布设在中国范围内的6434个小流域抽样单元进行了人工目视解译,获得了土地覆盖参考数据。通过野外实地调查验证了参考数据,在此基础上对FROM-GLC30 2017数据集进行了精度评价。研究结果表明： ① FROM-GLC30 2017数据集中各土地覆盖类型的面积比例基本符合我国的实际情况;② 数据集在中国的总体精度为75.39%,在7大地理分区中,华东地区的总体精度最高,华南地区的总体精度最低;③ 在7种土地覆盖类型中,裸地、森林以及农田的精度相对较高,灌丛的精度最低。研究结果可为大区域土地覆盖数据精度评价研究提供理论支持,促进公开土地覆盖数据集的有效应用。

关键词: FROM-GLC30, 高分辨率遥感影像, 土地覆盖/土地利用, 精度评价, 中国, 小流域抽样单元, 目视解译, 大尺度

Abstract:

Land cover data play an important role in global environment change studies and applications and are widely used in many fields. The FROM-GLC30 2017 dataset is one of the latest global high-resolution (30-meter) land cover datasets. The accuracy of this land cover dataset is of great interest and important for its application in other fields. The aim of this study was to evaluate the spatial accuracy of the FROM-GLC30 2017 dataset at the national scale and analyze the spatial variation of its accuracy for different land cover types. In our study, the reference land cover data were obtained through visual interpretation based on sub-meter high-resolution remote sensing images collected from 6434 small watersheds in China. The reference dataset was validated by field survey. Based on this, the accuracy of the FROM-GLC30 2017 dataset was further assessed. Our results show that: (1) the area proportion of each land cover type of the FROM-GLC30 2017 dataset generally matched the real field condition in China; (2) the overall accuracy of this dataset in China was 75.39%. Among the seven geographical divisions, the overall accuracy in east China was the highest, and the south China has the lowest accuracy; and (3) the accuracy of the bare land, forest, and cropland was relatively high, and the accuracy of the shrubland was the lowest among the seven land cover types. Our results provide theoretical support for large-scale land cover data accuracy assessment and promote the application of free land cover datasets.

Key words: FROM-GLC30, high-resolution remote sensing image, land cover/ land use, accuracy assessment, China, watershed sampling unit, visual interpretation, large-scale

郭紫甜, 王春梅, 刘欣, 庞国伟, 朱梦阳, 王晋卿. 基于小流域抽样单元的中国FROM-GLC30数据精度评价[J]. 地球信息科学学报, 2021, 23(3): 524-535.DOI:10.12082/dqxxkx.2021.200100

GUO Zitian, WANG Chunmei, LIU Xin, PANG Guowei, ZHU Mengyang, WANG Jinqing. Accuracy Assessment of FROM-GLC30 Dataset based on Small Watershed Sampling Units in China[J]. Journal of Geo-information Science, 2021, 23(3): 524-535.DOI:10.12082/dqxxkx.2021.200100

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七大地理分区	包含省、直辖市及自治区
东北	黑龙江省、吉林省、辽宁省
华北	北京市、天津市、山西省、河北省、内蒙古自治区
华东	上海市、江苏省、浙江省、安徽省、福建省、江西省、山东省、台湾省
华南	广东省、海南省、广西壮族自治区、香港特别行政区、澳门特别行政区
华中	河南省、湖北省、湖南省
西北	陕西省、甘肃省、青海省、宁夏回族自治区、新疆维吾尔自治区
西南	重庆市、四川省、贵州省、云南省、西藏自治区

统一代码	统一地类名称	参考数据	FROM-GLC30 2017数据	含义
1	农田	1 农田	1 农田	指用于种植农作物、经济作物的土地
2	森林	2 森林	2 森林	乔木覆盖且覆盖度超过30%的土地,以及树冠盖度为10%~30%的疏林地
3	灌丛	3 灌丛	4 灌丛	灌木覆盖且灌丛覆盖度高于30%的土地,以及荒漠地区覆盖度高于10%的荒漠灌丛
4	草地	4 草地	3 草地,7 苔原	指以草本植被为主且植被覆盖度在10%以上,包括高寒地区被苔藓、地衣以及耐寒草本、灌木植被覆盖的土地
5	不透水层	5 不透水层	8 不透水层	包括人工建造的城镇用地、工矿用地、商服用地、仓储用地以及交通设施用地等
6	水域	6 水域	5 湿地,6 水体,10 冰雪	包括陆地范围内液态水、冰川及永久积雪等覆盖的区域,以及水陆交界处有浅层积水或土壤过湿的土地
7	裸地	7 裸地	9 裸地	包括裸土、裸岩、荒漠、沙地、砾石地、盐碱地等在内的植被覆盖度低于10%的自然覆盖土地

基础数据	面积占比
基础数据	农田	森林	灌丛	草地	不透水层	水域	裸地
FROM-GLC30 2017	6.31	14.23	0.36	23.96	0.95	5.93	48.26
参考数据	6.87	13.44	1.81	15.33	1.14	5.11	56.31

代码	地类名称	用户精度	制图精度
1	农田	75.10	69.14
2	森林	81.74	86.83
3	灌丛	9.47	1.87
4	草地	44.51	69.82
5	不透水层	49.33	41.39
6	水域	60.90	70.90
7	裸地	91.76	78.90

基于小流域抽样单元的中国FROM-GLC30数据精度评价

Accuracy Assessment of FROM-GLC30 Dataset based on Small Watershed Sampling Units in China

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