机构

• 地理科学与资源研究... [10]
• 深海科学与工程研究所 [1]
• 软件研究所 [1]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [11]
• 会议论文 [1]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [2]
• 2022 [4]
• 2021 [1]
• 2011 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共12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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 318, 页码: 114579 作者:  Fan, Dong;  Zhao, Tianjie;  Jiang, Xiaoguang;  Garcia-Garcia, Almudena;  Schmidt, Toni   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/03/18 Soil moisture  SAR  Microwave  Sentinel-1  High resolution   Microbial Biosignatures Associated with Iddingsite in Hadal Basalts from the Southern Mariana Trench 期刊论文  OAI收割 ACTA GEOLOGICA SINICA-ENGLISH EDITION, 2024, 页码: 10 作者:  Guo, Zixiao;  Hu, Yazhen;  Du, Qingying;  Liu, Yadong;  Qin, Guohong   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/10/21 geobiology  biosignatures  iddingsite  carbonaceous matter  subsurface biosphere  Mariana Trench Pacific Ocean   Spatial-temporal patterns of land surface evapotranspiration from global products 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 304, 页码: 28 作者:  Tang, Ronglin;  Peng, Zhong;  Liu, Meng;  Li, Zhao-Liang;  Jiang, Yazhen   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/05/06 Evapotranspiration  Canopy transpiration  Soil evaporation  Interception evaporation  Spatio-temporal pattern  Latent heat flux  Remote sensing   A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend 期刊论文  OAI收割 EARTH-SCIENCE REVIEWS, 2024, 卷号: 249, 页码: 31 作者:     |  收藏  |  浏览/下载：50/0  |  提交时间：2024/04/01 Latent heat flux  Sensible heat flux  Air-sea turbulent heat flux  Variability  Trend   Coupled estimation of global 500m daily aerodynamic roughness length, zero-plane displacement height and canopy height 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 342, 页码: 109754 作者:  Peng, Zhong;  Tang, Ronglin;  Liu, Meng;  Jiang, Yazhen;  Li, Zhao-Liang   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/12/04 Aerodynamic roughness length  Zero -plane displacement height  Canopy height  Balanced random forest  Lidar   Ecological Stoichiometry and Stock Distribution of C, N, and P in Three Forest Types in a Karst Region of China 期刊论文  OAI收割 PLANTS-BASEL, 2023, 卷号: 12, 期号: 13, 页码: 10 作者:  Wang, Wancai;  Peng, Yuanying;  Chen, Yazhen;  Lei, Shilong;  Wang, Xiaojun   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/10/09 nutrient  stoichiometry  Masson pine  Slash pine  karst region   A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 280, 页码: 11 作者:  Tang, Ronglin;  Li, Zhao-Liang;  Liu, Meng;  Jiang, Yazhen;  Peng, Zhong   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/11/09 Evapotranspiration  Evaporative fraction  Surface temperature versus vegetation index  triangle  Moisture -based triangle   A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 280, 页码: 11 作者:  Tang, Ronglin;  Li, Zhao-Liang;  Liu, Meng;  Jiang, Yazhen;  Peng, Zhong   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/11/09 Evapotranspiration  Evaporative fraction  Surface temperature versus vegetation index  triangle  Moisture -based triangle   Global estimates of 500 m daily aerodynamic roughness length from MODIS data 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 183, 页码: 336-351 作者:  Peng, Zhong;  Tang, Ronglin;  Jiang, Yazhen;  Liu, Meng;  Li, Zhao-Liang   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/09/21 Aerodynamic roughness length  Machine learning  MODIS  Evapotranspiration   Global estimates of 500 m daily aerodynamic roughness length from MODIS data 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 183, 页码: 336-351 作者:  Peng, Zhong;  Tang, Ronglin;  Jiang, Yazhen;  Liu, Meng;  Li, Zhao-Liang   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/09/21 Aerodynamic roughness length  Machine learning  MODIS  Evapotranspiration