机构

• 大连化学物理研究所 [13]
• 地理科学与资源研究所 [6]
• 宁波材料技术与工程研... [2]
• 沈阳应用生态研究所 [2]
• 国家授时中心 [2]
• 合肥物质科学研究院 [1]
• 更多

采集方式

• OAI收割 [26]

内容类型

• 期刊论文 [26]

发表日期

• 2024 [1]
• 2023 [1]
• 2021 [1]
• 2020 [6]
• 2017 [2]
• 2015 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共26条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Dominant role of the non-forest woody vegetation in the post 2015/16 El Ni?o tropical carbon recovery 期刊论文  OAI收割 GLOBAL CHANGE BIOLOGY, 2024, 卷号: 30, 期号: 7, 页码: 13 作者:  Fan, Lei;  Cui, Tianxiang;  Wigneron, Jean-Pierre;  Ciais, Philippe;  Sitch, Stephen   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/10/08 aboveground carbon  El Ni & ntilde  non-forest woody vegetation  recovery  remote sensing  tropics  o   Research on UT1-UTC and LOD Prediction Algorithm Based on Denoised EAM Dataset 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 19, 页码: 17 作者:  Li, Xishun;  Wu, Yuanwei;  Yao, Dang;  Liu, Jia;  Nan, Kai   |  收藏  |  浏览/下载：37/0  |  提交时间：2023/12/13 UT1-UTC  LOD  EAM  GAM  LS  AR   Retinoic Acid-Loaded Dendritic Polyglycerol-Conjugated Gold Nanostars for Targeted Photothermal Therapy in Breast Cancer Stem Cells 期刊论文  OAI收割 ACS NANO, 2021, 卷号: 15, 期号: 9, 页码: 15069-15084 作者:  Pan, Yuanwei;  Ma, Xuehua;  Liu, Chuang;  Xing, Jie;  Zhou, Suqiong   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/12/01 CO-DELIVERY  NANOPARTICLES  DOXORUBICIN  NANOPLATFORM  INHIBITION  NANORODS  TUMORS   Gainers and losers of surface and terrestrial water resources in China during 1989-2016 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 12 作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Dong, Jinwei;  Qin, Yuanwei   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/18 Gainers and losers of surface and terrestrial water resources in China during 1989-2016 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 12 作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Dong, Jinwei;  Qin, Yuanwei   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/03/18 Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 163, 页码: 312-326 作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Hou, Luyao;  Qin, Yuanwei   |  收藏  |  浏览/下载：34/0  |  提交时间：2021/03/23 Coastal wetlands  Tidal flats  Coastal vegetation  Time series Landsat images  Pixel- and phenology-based algorithm  Google Earth Engine  China   Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 163, 页码: 312-326 作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Hou, Luyao;  Qin, Yuanwei   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/03/23 Coastal wetlands  Tidal flats  Coastal vegetation  Time series Landsat images  Pixel- and phenology-based algorithm  Google Earth Engine  China   Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 238, 页码: 15 作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Chen, Bangqian;  Ma, Jun   |  收藏  |  浏览/下载：32/0  |  提交时间：2020/05/19 Tidal flats  Time series Landsat images  Pixel and frequency-based algorithm  Google Earth Engine  China coastal zone   assessingtheperformanceofmoleculargasclumpidentificationalgorithms 期刊论文  OAI收割 researchinastronomyandastrophysics, 2020, 卷号: 20, 期号: 3 作者:  Li Chong;  Wang Hongchi;  Wu Yuanwei;  Ma Yuehui;  Lin Lianghao   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/08/31 methods: data analysis  methods: numerical  ISM: structure   Estimating aboveground biomass of broadleaf, needleleaf, and mixed forests in Northeastern China through analysis of 25-m ALOS/PALSAR mosaic data 期刊论文  OAI收割 FOREST ECOLOGY AND MANAGEMENT, 2017, 页码: 199-210 作者:  Ma, Jun;  Xiao, Xiangming;  Qin, Yuanwei;  Chen, Bangqian;  Hu, Yuanman   |  收藏  |  浏览/下载：29/0  |  提交时间：2017/11/23 Alos/palsar  Aboveground Live Biomass  Northeastern China  Nonlinear Regression Models  Boosted Regression Tree  Topographical And stAnd Structure Factors