清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0

土地覆盖 遥感 计算机科学 云计算 星座 工作流程 数据库 云量 大数据 数据挖掘 环境科学 土地利用 地理 工程类 土木工程 物理 操作系统 天文
作者
Han Liu,Peng Gong,Jie Wang,Xi Wang,Grant Ning,Bing Xu
出处
期刊:Remote Sensing of Environment [Elsevier BV]
卷期号:258: 112364-112364 被引量:115
标识
DOI:10.1016/j.rse.2021.112364
摘要

Longer time high-resolution, high-frequency, consistent, and more detailed land cover data are urgently needed in order to achieve sustainable development goals on food security, high-quality habitat construction, biodiversity conservation and planetary health, and for the understanding, simulation and management of the Earth system. However, due to technological constraints, it is difficult to provide simultaneously high spatial resolution, high temporal frequency, and high quality observation data. Existing mapping solutions are limited by traditional remotely sensed data, that have shorter observation periods, poor spatio-temporal consistency and comparability. Therefore, a new mapping paradigm is needed. This paper develops a framework for intelligent mapping (iMap) of land cover based on state-of-the-art technologies such as cloud computing, artificial intelligence, virtual constellations, and spatio-temporal reconstruction and fusion. Under this framework, we built an automated, serverless, end-to-end data production chain and parallel mapping system based on Amazon Web Services (AWS) and produced the first 30 m global daily seamless data cubes (SDC), and annual to seasonal land cover maps for 1985–2020. The SDC was produced through a multi-source spatio-temporal data reconstruction and fusion workflow based on Landsat, MODIS, and AVHRR virtual constellations. Independent validation results show that the relative mean error of the SDC is less than 2.14%. As analysis ready data (ARD), it can lay a foundation for high-precision quantitative remote sensing information extraction. From this SDC, we produced 36-year long, 30 m resolution global land cover map data set by combining strategies of sample migration, machine learning, and spatio-temporal adjustment. The average overall accuracy of our annual land cover maps over multiple periods of time is 80% for level 1 classification and over 73% for level 2 classification (29 and 33 classes). Based on an objective validation sample consisting of FLUXNET sites, our map accuracy is 10% higher than that of existing global land cover datasets including Globeland30. Our results show that the average global land cover change rate is 0.36%/yr. Global forest decreased by 1.47 million km2 from 38.44 million km2, cropland increased by 0.84 million km2 from 12.49 million km2 and impervious surface increased by 0.48 million km2 from 0.57 million km2 during 1985– 2020.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Qian完成签到 ,获得积分10
7秒前
32秒前
玄之又玄完成签到,获得积分10
44秒前
糯米团的完成签到 ,获得积分10
46秒前
爆米花应助ceeray23采纳,获得20
53秒前
爆米花应助彦嘉采纳,获得10
1分钟前
1分钟前
ceeray23发布了新的文献求助20
1分钟前
zpc猪猪完成签到,获得积分10
1分钟前
Jenny发布了新的文献求助50
1分钟前
香蕉觅云应助ceeray23采纳,获得20
1分钟前
hoshi完成签到 ,获得积分10
2分钟前
woxinyouyou完成签到,获得积分0
2分钟前
思源应助方俊驰采纳,获得10
2分钟前
yuyuyu完成签到 ,获得积分10
2分钟前
2分钟前
方俊驰发布了新的文献求助10
2分钟前
方俊驰完成签到,获得积分10
2分钟前
2分钟前
ceeray23发布了新的文献求助20
2分钟前
研友_8y2G0L完成签到,获得积分10
2分钟前
liwang9301完成签到,获得积分10
3分钟前
3分钟前
3分钟前
lyj完成签到 ,获得积分10
3分钟前
Xuancheng_SINH完成签到,获得积分10
3分钟前
郭俊秀完成签到 ,获得积分10
3分钟前
3分钟前
ChatGPT发布了新的文献求助10
4分钟前
披着羊皮的狼完成签到 ,获得积分10
4分钟前
隐形曼青应助科研通管家采纳,获得10
4分钟前
ceeray23发布了新的文献求助20
4分钟前
orixero应助ceeray23采纳,获得20
5分钟前
1233发布了新的文献求助10
5分钟前
ChatGPT发布了新的文献求助10
5分钟前
JG完成签到 ,获得积分10
5分钟前
jkaaa完成签到,获得积分10
5分钟前
1233完成签到,获得积分10
5分钟前
太清完成签到 ,获得积分10
5分钟前
5分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3990550
求助须知:如何正确求助?哪些是违规求助? 3532220
关于积分的说明 11256532
捐赠科研通 3271057
什么是DOI,文献DOI怎么找? 1805207
邀请新用户注册赠送积分活动 882302
科研通“疑难数据库(出版商)”最低求助积分说明 809234