中文版 | English

在结果中检索

CCPortal

浏览/检索结果: 共14条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 6
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/11
An integrated method to quantify human appropriation of net primary production in grasslands of the Qinghai-Tibet Plateau 期刊论文
APPLIED GEOGRAPHY, 2023, 卷号: 158
作者:  Dai, Xuhuan;  Yang, Yanzheng;  Zheng, Hua;  Meng, Nan;  Zhu, Jingyi;  Li, Ruonan;  Ma, Jinfeng;  Lu, Zijian;  Li, Zuzheng
收藏  |  浏览/下载：1/0  |  提交时间：2024/03/01
Net primary production  Grasslands  Random forest  Ecoregions  Spatial heterogeneity  
Bathymetric Inversion and Mapping of Two Shallow Lakes Using Sentinel-2 Imagery and Bathymetry Data in the Central Tibetan Plateau 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Yang, Hong;  Ju, Jianting;  Guo, Hengliang;  Qiao, Baojin;  Nie, Bingkang;  Zhu, Liping
收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21
MULTISPECTRAL SATELLITE IMAGERY  WATER DEPTH  NEURAL-NETWORKS  AIRBORNE LIDAR  REGRESSION  RETRIEVAL  MODEL  
Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2022, 卷号: 15, 期号: 1
作者:  Yang, Hong;  Guo, Hengliang;  Dai, Wenhao;  Nie, Bingkang;  Qiao, Baojin;  Zhu, Liping
收藏  |  浏览/下载：48/0  |  提交时间：2022/06/21
TIBETAN PLATEAU  SATELLITE IMAGERY  DEPTH  REGRESSION  MODELS  RETRIEVAL  LIDAR  SVM  
Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2022, 卷号: 65, 期号: 3
作者:  Qin, Feng;  Zhao, Yan;  Cao, Xianyong
收藏  |  浏览/下载：31/0  |  提交时间：2022/06/21
POLLEN DATA  QUANTITATIVE RECONSTRUCTION  HOLOCENE VEGETATION  HIGH-RESOLUTION  LAKE-SEDIMENTS  CLIMATE-CHANGE  MIDHOLOCENE  CHINA  ASIA  REGION  
Machine learning-based prediction for grassland degradation using geographic, meteorological, plant and microbial data 期刊论文
ECOLOGICAL INDICATORS, 2022, 卷号: 137
作者:  Yan, Han;  Ran, Qinwei;  Hu, Ronghai;  Xue, Kai;  Zhang, Biao;  Zhou, Shutong;  Zhang, Zuopei;  Tang, Li;  Che, Rongxiao;  Pang, Zhe;  Wang, Fang;  Wang, Di;  Zhang, Jing;  Jiang, Lili;  Qian, Zhi;  Zhang, Sanguo;  Guo, Tiande;  Du, Jianqing;  Hao, Yanbin;  Cui, Xiaoyong;  Wang, Yanfen
收藏  |  浏览/下载：31/0  |  提交时间：2022/06/21
NET PRIMARY PRODUCTIVITY  ALPINE GRASSLANDS  TIBETAN PLATEAU  INNER-MONGOLIA  SOIL  NITROGEN  CARBON  INDICATORS  BIOMASS  
Wet mid-late Holocene in central Asia supported prehistoric intercontinental cultural communication: Clues from pollen data 期刊论文
CATENA, 2022, 卷号: 209
作者:  Tian, Fang;  Wang, Wei;  Rudaya, Natalia;  Liu, Xingqi;  Cao, Xianyong
收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21
CLIMATE CALIBRATION-SET  ARID CENTRAL-ASIA  QUANTITATIVE RECONSTRUCTIONS  MOISTURE EVOLUTION  CENTRAL MONGOLIA  LAKE  VEGETATION  PALEOLIMNOLOGY  XINJIANG  PLATEAU  
Machine learning approach identifies water sample source based on microbial abundance 期刊论文
WATER RESEARCH, 2021, 卷号: 199
作者:  Wang, Chenchen;  Mao, Guannan;  Liao, Kailingli;  Ben, Weiwei;  Qiao, Meng;  Bai, Yaohui;  Qu, Jiuhui
收藏  |  浏览/下载：35/0  |  提交时间：2022/06/21
PHARMACEUTICALS  RIVER  CARBAMAZEPINE  COMMUNITIES  BACTERIAL  IMPACTS  
Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions 期刊论文
EARTH SYSTEM SCIENCE DATA, 2021, 卷号: 13, 期号: 7
作者:  Cao, Xianyong;  Tian, Fang;  Li, Kai;  Ni, Jian;  Yu, Xiaoshan;  Liu, Lina;  Wang, Nannan
收藏  |  浏览/下载：21/0  |  提交时间：2022/06/21
AREA  
Vegetation greening concurs with increases in dry season water yield over the Upper Brahmaputra River basin 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 603
作者:  Li, Hao;  Liu, Liu;  Koppa, Akash;  Shan, Baoying;  Liu, Xingcai;  Li, Xiuping;  Niu, Qiankun;  Cheng, Lei;  Miralles, Diego
收藏  |  浏览/下载：17/0  |  提交时间：2022/06/21
CLIMATE-CHANGE  SOURCE REGION  FORESTS  VARIABILITY  IMPACT  FLOWS  DROUGHT  TRENDS  SOIL