机构

• 地理科学与资源研究... [34]
• 生态环境研究中心 [2]
• 近代物理研究所 [2]
• 化学研究所 [1]
• 科技战略咨询研究院 [1]
• 武汉植物园 [1]
• 更多

采集方式

• OAI收割 [43]

内容类型

• 期刊论文 [43]

发表日期

• 2026 [1]
• 2025 [1]
• 2024 [5]
• 2023 [3]
• 2022 [2]
• 2021 [8]
• 更多

学科主题

筛选

浏览/检索结果: 共43条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Data fusion enhances the accuracy of soil organic carbon estimation by using high accuracy surface modeling 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2026, 卷号: 257, 页码: 106945 作者:  Zhou, Wei;  Wang, Ting;  Peng, Yao;  Yu, Wenping;  Sun, Xiaofang   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/19 High accuracy surface modeling  Soil organic carbon  Multisource remote sensing  Machine learning  Tibetan Plateau   Analysing Causes of Carbon Density Dynamics in Subtropical Forests 期刊论文  OAI收割 FORESTS, 2025, 卷号: 16, 期号: 9, 页码: 1496 作者:  Wu, Chenchen;  Yue, Tianxiang;  Wang, Yifu;  Zhao, Na;  Yang, Yang   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/11/17 high accuracy surface modelling  structural equation modelling  subtropical forests  biodiversity-ecosystem functioning  topography-climate effects   Sustainable Permeable Reactive Barrier Materials for Electrokinetic Remediation of Heavy Metals-Contaminated Soil 期刊论文  OAI收割 ADVANCED SUSTAINABLE SYSTEMS, 2024, 卷号: N/A 作者:  Naseer, Ufra;  Ali, Muhammad;  Younis, Muhammad Adnan;  Du, Zhengping;  Mushtaq, Asim   |  收藏  |  浏览/下载：32/0  |  提交时间：2025/01/17 electrokinetic remediation  heavy metals  permeable reactive media  sustainable PRB materials  waste/recyclable materials   Future Scenarios of Forest Carbon Sink in a Typical Subtropical County 期刊论文  OAI收割 FORESTS, 2024, 卷号: 15, 期号: 11, 页码: 18 作者:  Gong, Weipeng;  Zhang, Qin;  Fan, Zemeng;  Shi, Wenjiao;  Zhao, Na   |  收藏  |  浏览/下载：130/0  |  提交时间：2025/03/03 forest carbon sink  climate scenarios  forest management scenarios   Including soil depth as a predictor variable increases prediction accuracy of SOC stocks 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2024, 卷号: 238, 页码: 17 作者:  Li, Jiaying;  Liu, Feng;  Shi, Wenjiao;  Du, Zhengping;  Deng, Xiangzheng   |  收藏  |  浏览/下载：90/0  |  提交时间：2024/04/01 High accuracy surface modelling  Interpolation  Linear model  Machine learning model  Soil organic carbon stocks   A four-band index for both liquid and solid water and its applications in the Aral Sea Basin 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2024, 卷号: N/A 作者:  Yue, Bing;  Chen, Xi;  Li, Saibo;  Du, Zhengping;  Wilson, John   |  收藏  |  浏览/下载：72/0  |  提交时间：2024/04/08 Aral Sea Basin  Syr river basin  Amu river basin  Water indices  Water-coverage area  Water deficit  Climate change   Grassland productivity increase was dominated by climate in Qinghai-Tibet Plateau from 1982 to 2020 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 434, 页码: 14 作者:  Zhou, Wei;  Wang, Ting;  Xiao, Jieyun;  Wang, Keming;  Yu, Wenping   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/03/01 Grassland NPP  Driving contribution rate  Quantitative assessment  Climate warming  Human activities   HASM quantum machine learning 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2023, 卷号: N/A 作者:  Yue, Tianxiang;  Wu, Chenchen;  Liu, Yi;  Du, Zhengping;  Zhao, Na   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/09/07 Quantum computing  Machine learning  Eco-environmental surface  High accuracy surface modelling  Quantum computational advantage  Practical quantum advantage   Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 121, 页码: 16 作者:  Li, Saibo;  He, Shaoyang;  Yue, Tianxiang;  Du, Zhengping;  Zhao, Na   |  收藏  |  浏览/下载：70/0  |  提交时间：2024/03/01 Bamboo forest  Expansion intensity  Vegetation phenology  SAR  Google Earth Engine   Short-term morphological evolution of an ephemeral gully in the Dry-hot Valley of Southwest China 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2023, 卷号: 225, 页码: 10 作者:  Wang, Lei;  Zheng, Jilin;  Zhang, Bin;  Li, Wu;  Luo, Jun   |  收藏  |  浏览/下载：63/0  |  提交时间：2022/12/09 Gully erosion  Morphological parameters  Topographic factors  Laser scanning  Field observation