QQ客服 官方微博 反馈留言

浏览/检索结果: 共25条，第1-10条 帮助 限定条件 发表日期：2020    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Vegetation Expansion on the Tibetan Plateau and Its Relationship with Climate Change 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 19 作者:  Wang, Zhipeng;  Wu, Jianshuang;  Niu, Ben;  He, Yongtao;  Zu, Jiaxing 收藏  |  浏览/下载：15/0  |  提交时间：2021/03/15 land cover change  vegetation expansion  Tibetan Plateau  climate change   Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文 ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16 作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Pavlovic, Nathan;  McClure, Crystal 收藏  |  浏览/下载：123/0  |  提交时间：2021/03/16 PM2.5  Machine learning  Air pollution exposure  Wildfires  Remote sensing  California  High spatiotemporal resolution   Multiple-scale negative impacts of warming on ecosystem carbon use efficiency across the Tibetan Plateau grasslands 期刊论文 GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2020, 页码: 16 作者:  Chen, Ning;  Zhang, Yangjian;  Zhu, Juntao;  Cong, Nan;  Zhao, Guang 收藏  |  浏览/下载：81/0  |  提交时间：2021/03/16 carbon use efficiency  multiple scale observations  negative effects  nonlinear responses  Tibetan Plateau  warming   Uncertainties in above ground tree biomass estimation 期刊论文 JOURNAL OF FORESTRY RESEARCH, 2020, 页码: 12 作者:  Qin, Lihou;  Meng, Shengwang;  Zhou, Guang;  Liu, Qijing;  Xu, Zhenzhao 收藏  |  浏览/下载：4/0  |  提交时间：2021/03/16 Above-ground biomass  Measurement error  Residual variability  Parameter estimates  Sampling variability   Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review 期刊论文 WILEY INTERDISCIPLINARY REVIEWS-WATER, 2020, 页码: 32 作者:  Guo, Yuhan;  Zhang, Yongqiang;  Zhang, Lu;  Wang, Zhonggen 收藏  |  浏览/下载：15/0  |  提交时间：2021/03/16 hydrological model  parameterization  regionalization  runoff prediction  ungauged basin   Estimating annual runoff in response to forest change: A statistical method based on random forest 期刊论文 JOURNAL OF HYDROLOGY, 2020, 卷号: 589, 页码: 14 作者:  Li, Ming;  Zhang, Yongqiang;  Wallace, Jeremy;  Campbell, Eddy 收藏  |  浏览/下载：5/0  |  提交时间：2021/03/16 Annual runoff  Forest thinning  Predictive model  Machine learning  Remote sensing  Forest index   Measurement of rill and ephemeral gully flow velocities and their model expression affected by flow rate and slope gradient 期刊论文 JOURNAL OF HYDROLOGY, 2020, 卷号: 589, 页码: 8 作者:  Ban, Y. Y.;  Wang, W.;  Lei, T. W. 收藏  |  浏览/下载：9/0  |  提交时间：2021/03/16 Flow velocity  Flow rate  Slope gradient  Model fitting   The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China 期刊论文 INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 卷号: 41, 期号: 18, 页码: 7068-7089 作者:  Zeng, Na;  He, Honglin;  Ren, Xiaoli;  Zhang, Li;  Zeng, Yuan 收藏  |  浏览/下载：14/0  |  提交时间：2021/07/09 Application of a newly developed large-scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition 期刊论文 NATURAL RESOURCE MODELING, 2020, 页码: 27 作者:  Paul, Pranesh K.;  Kumari, Babita;  Gaur, Srishti;  Mishra, Ashok;  Panigrahy, Niranjan 收藏  |  浏览/下载：11/0  |  提交时间：2021/03/16 1 km resolution  cluster analysis  credibility testing  regionalization  SHM  similarity index   Research challenges and opportunities for using big data in global change biology 期刊论文 GLOBAL CHANGE BIOLOGY, 2020, 页码: 22 作者:  Xia, Jianyang;  Wang, Jing;  Niu, Shuli 收藏  |  浏览/下载：15/0  |  提交时间：2021/03/16 big data  Earth system model  global change biology  machine learning  model uncertainty