Stable classi?cation with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
被引量：181
Stable classi?cation with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
摘要
As the world strives to reduce the impact of population growth, urbanization, agricultural expansion, and climate change on food security, energy and water shortage, resource over-exploration, biodiversity loss, environmental pollution, and ultimately human health, timely and higher resolution land cover information is urgently needed to achieve the sustainable development goals of the United Nations.
基金
partially supported by the National Key Research and Development Program of China(2016YFA0600103)
Delos Living LLC
the Cyrus Tang Foundation
参考文献2
-
1YU Le,WANG Jie,LI XueCao,LI CongCong,ZHAO YuanYuan,GONG Peng.A multi-resolution global land cover dataset through multisource data aggregation[J].Science China Earth Sciences,2014,57(10):2317-2329. 被引量：24
-
2Congcong Li,Peng Gong,Jie Wang,Zhiliang Zhu,Gregory S. Biging,Cui Yuan,Tengyun Hu,Haiying Zhang,Qi Wang,Xuecao Li,Xiaoxuan Liu,Yidi Xu,Jing Guo,Caixia Liu,Kwame O. Hackman,Meinan Zhang,Yuqi Cheng,Le Yu,Jun Yang,Huabing Huang,Nicholas Clinton.The first all-season sample set for mapping global land cover with Landsat-8 data[J].Science Bulletin,2017,62(7):508-515. 被引量：23
二级参考文献5
-
1WANG Lei,LI CongCong,YING Qing,CHENG Xiao,WANG XiaoYi,LI XueYan,HU LuanYun,LIANG Lu,YU Le,HUANG HuaBing,GONG Peng.China’s urban expansion from 1990 to 2010 determined with satellite remote sensing[J].Chinese Science Bulletin,2012,57(22):2802-2812. 被引量：67
-
2ZHU Peng,GONG Peng.Suitability mapping of global wetland areas and validation with remotely sensed data[J].Science China Earth Sciences,2014,57(10):2283-2292. 被引量：6
-
3Yali Si,Qinchuan Xin,Herbert H.T.Prins,Willem F.de Boer,Peng Gong.Improving the quantification of waterfowl migration with remote sensing and bird tracking[J].Science Bulletin,2015,60(23):1984-1993. 被引量：7
-
4宫鹏,张伟,俞乐,李丛丛,王杰,梁璐,李雪草,计璐艳,白玉琪.全球地表覆盖制图研究新范式[J].遥感学报,2016,20(5):1002-1016. 被引量：29
-
5Ryutaro Tateishi,Bayaer Uriyangqai,Hussam Al-Bilbisi,Mohamed Aboel Ghar,Javzandulam Tsend-Ayush,Toshiyuki Kobayashi,Alimujiang Kasimu,Nguyen Thanh Hoan,Adel Shalaby,Bayan Alsaaideh,Tsevenge Enkhzaya,Gegentana,Hiroshi P.Sato.Production of global land cover data-GLCNMO[J].International Journal of Digital Earth,2011,4(1):22-49. 被引量：12
共引文献45
-
1刘涵,王钰,桑玲玲,王军,赵财胜.自然资源无缝数据立方体构建与要素智能监测[J].测绘科学,2023,48(1):201-213. 被引量：2
-
2张春华,李修楠,吴孟泉,秦伟山,张筠.基于Landsat 8 OLI数据与面向对象分类的昆嵛山地区土地覆盖信息提取[J].地理科学,2018,38(11):1904-1913. 被引量：22
-
3余慧燕,孙长奎,霍翔,胡建利,祁贤,许可,黄昊頔,鲍倡俊.基于生态位模型的人感染H7N9禽流感病毒潜在风险区预测分析[J].现代预防医学,2019,46(2):206-210. 被引量：7
-
4RAN YouHua,LI Xin.First comprehensive fine-resolution global land cover map in the world from China—Comments on global land cover map at 30-m resolution[J].Science China Earth Sciences,2015,58(9):1677-1678. 被引量：10
-
5LI ChangBin,ZHANG XueLei,QI JiaGuo,WANG ShuaiBing,YANG LinShan,YANG WenJin,ZHU GaoFeng,HAO Qiang.A case study of regional eco-hydrological characteristics in the Tao River Basin, northwestern China, based on evapotranspiration estimated by a coupled Budyko Equation-crop coefficient approach[J].Science China Earth Sciences,2015,58(11):2103-2112. 被引量：5
-
6史学丽,张芳,周文艳,张艳武.CG-LTDR地表覆盖数据对BCC_AVIM1.0陆面温度模拟的影响研究[J].地球信息科学学报,2015,17(11):1294-1303. 被引量：6
-
7许光明,杨雅萍,杨飞,荆文龙,常中兵.多分辨率遥感土地覆被数据质量综合评价——以湖南省桃源县为例[J].地球信息科学学报,2016,18(4):553-563. 被引量：4
-
8ZHANG WeiWei,CHEN Jun,LIAO AnPing,HAN Gang,CHEN XueHong,CHEN LiJun,PENG Shu,WU Hao,ZHANG Jun.Geospatial knowledge-based verification and improvement of GlobeLand30[J].Science China Earth Sciences,2016,59(9):1709-1719. 被引量：4
-
9YU Xi,ZHANG BingQi,LI Qiang,CHEN Jin.A method characterizing urban expansion based on land cover map at 30 m resolution[J].Science China Earth Sciences,2016,59(9):1738-1744. 被引量：3
-
10SHI XueLi,NIE SuPing,JU WeiMin,YU Le.Climate effects of the GlobeLand30 land cover dataset on the Beijing Climate Center climate model simulations[J].Science China Earth Sciences,2016,59(9):1754-1764. 被引量：9
同被引文献2188
-
1张妮娜,张珂,李运平,李曦,刘涛.中国南方典型湿润山区植被类型的无人机多光谱遥感机器学习分类研究[J].遥感技术与应用,2023,38(1):163-172. 被引量：10
-
2陈耀亮,黄鑫毅,陆灯盛,刘姗姗,林文科,彭仲炜,吴燕芳,逄诗韵,赵帅.福建省2019年土地覆被类型4846个样本点数据集的内容与调查过程[J].全球变化数据学报（中英文）,2020,4(1):52-59. 被引量：2
-
3陈慕琳,蔡红艳.京津冀地区VIIRS/DNB月度及年度夜间灯光数据集(2013–2018)[J].全球变化数据学报（中英文）,2019,3(4):376-381. 被引量：2
-
4王宇,张景雄,刘迪,杨文静,张旺乐.基于景观形状指数抽样的GlobeLand30(2010)中国区精度验证[J].全球变化数据学报（中英文）,2018(1):29-34. 被引量：2
-
5季顺平,田思琦,张驰.利用全空洞卷积神经元网络进行城市土地覆盖分类与变化检测[J].武汉大学学报（信息科学版）,2020,45(2):233-241. 被引量：44
-
6申华磊,苏歆琪,赵巧丽,周萌,刘栋,臧贺藏.基于深度学习的无人机遥感小麦倒伏面积提取方法[J].农业机械学报,2022,53(9):252-260. 被引量：10
-
7郭涛,王思,刘泳伶,黄平,李疆.基于遥感云计算的自然资源动态监测研究[J].中国农业信息,2021,33(5):32-41. 被引量：4
-
8孙莉莉,刘云珠,贾亦飞,雷光春,尹玉柱,徐华林,田穗兴,文贤继.广东内伶仃岛-福田国家级自然保护区鱼塘生态恢复前、后水鸟群落多样性对比[J].湿地科学,2019,17(6):631-636. 被引量：5
-
9宫鹏,陈斌,李雪草,刘涵,王杰,白玉琪,陈镜明,陈曦,房磊,冯帅龙,冯永玖,巩雅丽,顾浩,黄华兵,黄晓春,焦洪赞,康应东,雷光斌,李爱农,李晓婷,李郇,李月臣,李志林,李忠德,刘冲,刘春霞,刘卯丑,刘曙光,毛婉柳,苗长虹,倪好,潘起胜,齐述华,任浙豪,单卓然,沈少青,石敏俊,宋祎萌,苏墨,孙凯平,孙博,孙芳蒂,孙健,孙林,孙文尧,田甜,童小华,曾羲星,屠滢,王红,王兰,王犀,王宗明,武廷海,颉耀文,杨健,杨军,袁满,岳文泽,曾宏达,张阔,张能,张涛,张宇,赵峰,郑伊辰,周启鸣,Nicholas Clinton,朱智良,徐冰.2018年中国基本城市土地利用类型制图(EULUC-China)[J].Science Bulletin,2020,65(3):182-187. 被引量：43
-
10朱利英,陈媛媛,刘静,王亚炜,王春荣,魏源送,张育新.温榆河水环境质量与浮游植物群落结构的时空变化及其相互关系[J].环境科学,2020,41(2):702-712. 被引量：25
引证文献181
-
1石育青,梁继,李云星,孟赛颖,石倩.林地山区滑坡遥感的最优融合方法及应用[J].遥感技术与应用,2022,37(5):1248-1258.
-
2郭萍,潘琦,岳琼,王奕诚,张洪航.基于2型模糊集的多目标农业-生态水土资源优化配置[J].农业机械学报,2022,53(12):353-365. 被引量：5
-
3孙灏,胡佳琪,蒋金豹,赵艳玲,孙文彬,崔希民.顾及“岩土差异”和植物多样性的矿区生态环境遥感监测模型[J].煤炭学报,2023,48(S01):219-232. 被引量：1
-
4汪红,刘兴明,赵传燕,刘宥延,常亚鹏.基于面向对象的RF算法白水江自然保护区土地利用及景观格局时空演变特征分析[J].兰州大学学报（自然科学版）,2021,57(4):427-436. 被引量：8
-
5宫鹏,陈斌,李雪草,刘涵,王杰,白玉琪,陈镜明,陈曦,房磊,冯帅龙,冯永玖,巩雅丽,顾浩,黄华兵,黄晓春,焦洪赞,康应东,雷光斌,李爱农,李晓婷,李郇,李月臣,李志林,李忠德,刘冲,刘春霞,刘卯丑,刘曙光,毛婉柳,苗长虹,倪好,潘起胜,齐述华,任浙豪,单卓然,沈少青,石敏俊,宋祎萌,苏墨,孙凯平,孙博,孙芳蒂,孙健,孙林,孙文尧,田甜,童小华,曾羲星,屠滢,王红,王兰,王犀,王宗明,武廷海,颉耀文,杨健,杨军,袁满,岳文泽,曾宏达,张阔,张能,张涛,张宇,赵峰,郑伊辰,周启鸣,Nicholas Clinton,朱智良,徐冰.2018年中国基本城市土地利用类型制图(EULUC-China)[J].Science Bulletin,2020,65(3):182-187. 被引量：43
-
6杨妍菲,张晓祥,薛明慧.基于GEE平台的山地城市城镇扩展演变研究——以重庆市主城区为例[J].测绘地理信息,2022,47(5):78-83. 被引量：3
-
7王钰,刘涵,赵财胜,桑玲玲,鞠正山,胡腾云,李雪草.贺兰山森林破碎化海拔梯度格局及其影响因素[J].测绘科学,2024,49(1):190-203.
-
8刘涵,王钰,桑玲玲,王军,赵财胜.自然资源无缝数据立方体构建与要素智能监测[J].测绘科学,2023,48(1):201-213. 被引量：2
-
9李连友.养老保险费率的厘定及其风险分析[J].金融研究,2000(3):117-123. 被引量：2
-
10王浩,刘娅菲,宁晓刚,张翰超.城区边界遥感提取研究进展[J].测绘科学,2019,44(6):159-165. 被引量：9
二级引证文献984
-
1黄浦江,梁英竹,蒋巧璐.面向国土空间资源的遥感解译方法和应用研究进展[J].智能城市,2021,7(3):9-10. 被引量：4
-
2李倩,吕玮,郑笑傲,周莉华,张怡,吴猛,邵发亮,周华明,王杰.四川九龙、泸定发现黑颈鹤停歇[J].应用与环境生物学报,2023,29(6):1498-1500.
-
3朱博,钟方洁,赵军锁.基于分形维数和角二阶矩辅助的卷积神经网络云雪识别研究[J].遥感技术与应用,2022,37(6):1328-1338. 被引量：1
-
4李博,范俊甫,韩留生,周玉科,张大富.基于VIIRS Nightfire数据的山东省工业热源分类提取与变化特征分析[J].遥感技术与应用,2022,37(4):919-928.
-
5王昱熙,赵青山,谢彦波,Damba Iderbat,邓雪琴,嘎日迪,刘观华,徐志文,李跃,高大立,徐文彬,陈国勋,曹垒.长江中下游湿地大型水鸟种群动态和幼鸟比例研究[J].生态学报,2023,43(2):868-877. 被引量：2
-
6易浪,孙颖,尹少华,魏晓,欧阳晓.2000—2019年长江流域植被覆盖时空演化及其驱动因素[J].生态学报,2023,43(2):798-811. 被引量：10
-
7王雄,张翀,李强.黄土高原植被覆盖与水热时空通径分析[J].生态学报,2023,43(2):719-730. 被引量：4
-
8胡天宇,赵旦,曾源,郭庆华,何洪林.面向生态系统评估的多源数据融合体系[J].生态学报,2023,43(2):542-553. 被引量：1
-
9蒋云钟,冶运涛,赵红莉,梁犁丽,曹引,顾晶晶.水利大数据研究现状与展望[J].水力发电学报,2020,39(10):1-32. 被引量：81
-
10李郇,谷宇,邓伟环,许伟攀,陈怡帆.可计算乡村的技术框架[J].华南地理学报,2023(1):22-35.
-
1迪特尔.恩斯特.《标准化传播知识的机理及绩效评价》 标准化领域的深入理论研究（英文）[J].China Standardization,2019,84(2):62-64.
-
2吴丽君,黄扬明,王毅,段如敏,端凯,王萝萍,白晓莉.区间组合优化算法结合近红外技术测定烟草品质指标研究[J].现代科学仪器,2018,35(5):85-89.
-
3陈清旭.南冰计划[J].英语画刊（高级）,2018(34):6-6.
-
4Lixia Wang,Yanni Sun,Yu Wang.China's contribution to the millennium development goals: achieving tuberculosis control targets ahead of deadline[J].Global Health Journal,2017,1(1):21-25. 被引量：1
-
5Bian Peilin(Translated).Booster for achieving the sustainable development agenda——Chinese social organizations attends the 2018 UN High-level Political Forum on Sustainable Development[J].International Understanding,2018(3):44-46.
-
6ZHOU LIN.The Green Silk Road[J].China Today,2019,68(5):38-41.
-
7China Daily editorial.Initiative proves worth as welcome public good[J].一带一路报道,2019(3):17-17.
-
8Jiang Jialing.Testing and estimation of spatial econometric model in the case of limited samples[J].经贸实践,2018(24):37-38.
-
9Owen R.Cooper.Detecting the ?ngerprints of observed climate change on surface ozone variability[J].Science Bulletin,2019,64(6):359-360. 被引量：1
-
10YU ShaoDe,LIU LingLing,WANG ZhaoYang,DAI GuangZhe,XIE YaoQin.Transferring deep neural networks for the differentiation of mammographic breast lesions[J].Science China(Technological Sciences),2019,62(3):441-447. 被引量：5
