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A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 103, 页码: 16
Authors:  Liu, Qionghuan;  Zhang, Yili;  Liu, Linshan;  Wang, Zhaofeng;  Nie, Yong;  Rai, Mohan
Favorite  |  View/Download:3/0  |  Submit date:2021/11/05
Wetland mapping  Random forest  Feature optimization  Google Earth Engine  Tibetan Plateau  
Impacts of storm events on chlorophyll-a variations and controlling factors for algal bloom in a river receiving reclaimed water 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 卷号: 297, 页码: 12
Authors:  Liao, Anran;  Han, Dongmei;  Song, Xianfang;  Yang, Shengtian
Favorite  |  View/Download:1/0  |  Submit date:2021/11/05
Chlorophyll-a  Algal bloom  Storm event  Temperature  Reclaimed water  
Digital mapping of zinc in urban topsoil using multisource geospatial data and random forest 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 792, 页码: 8
Authors:  Shi, Tiezhu;  Hu, Xianjun;  Guo, Long;  Su, Fenzheng;  Tu, Wei;  Hu, Zhongwen;  Liu, Huizeng;  Yang, Chao;  Wang, Jingzhe;  Zhang, Jie;  Wu, Guofeng
Favorite  |  View/Download:3/0  |  Submit date:2021/11/05
Digital soil mapping  Remote sensing data  Social sensing data  Geodetector  Urban functional type  
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12
Authors:  Li, Linchao;  Wang, Bin;  Feng, Puyu;  Wang, Huanhuan;  He, Qinsi;  Wang, Yakai;  Liu, De Li;  Li, Yi;  He, Jianqiang;  Feng, Hao;  Yang, Guijun;  Yu, Qiang
Favorite  |  View/Download:2/0  |  Submit date:2021/11/05
Crop yield forecast  Climate extremes  Remote sensing  Random forest  Lead time  Variable importance  
Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping 期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 129, 页码: 13
Authors:  Wang, Zong;  Du, Zhengping;  Li, Xiaoyan;  Bao, Zhengyi;  Zhao, Na;  Yue, Tianxiang
Favorite  |  View/Download:4/0  |  Submit date:2021/11/05
Soil organic matter  Dongzhi Loess Tableland  Gradient boosting modeling  Random forest  High accuracy surface modeling  
Spatiotemporal Monitoring of Soil CO2 Efflux in a Subtropical Forest during the Dry Season Based on Field Observations and Remote Sensing Imagery 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 23
Authors:  Chen, Tao;  Xu, Zhenwu;  Tang, Guoping;  Chen, Xiaohua;  Fang, Hong;  Guo, Hao;  Yuan, Ye;  Zheng, Guoxiong;  Jiang, Liangliang;  Niu, Xiangyu
Favorite  |  View/Download:2/0  |  Submit date:2021/11/05
forest soil CO2 flux  satellite remote sensing data  random forest algorithm  subtropical forest ecosystem  
Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model 期刊论文
CATENA, 2021, 卷号: 202, 页码: 10
Authors:  Zhou, Wei;  Yang, Han;  Xie, Lijuan;  Li, Haoran;  Huang, Lu;  Zhao, Yapeng;  Yue, Tianxiang
Favorite  |  View/Download:45/0  |  Submit date:2021/07/09
Soil heavy metal  Hyperspectral  Random forest model (RF)  Support vector machine (SVM)  Three-River Source Region  
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22
Authors:  Yang, Zhiqi;  Dong, Jinwei;  Kou, Weili;  Qin, Yuanwei;  Xiao, Xiangming
Favorite  |  View/Download:38/0  |  Submit date:2021/08/19
Random Forest  integrated pixel- and object-based (IPOB) approach  feature selection  segmentation  Panax notoginseng  
Random forest model based fine scale spatiotemporal O-3 trends in the Beijing-Tianjin-Hebei region in China, 2010 to 2017 期刊论文
ENVIRONMENTAL POLLUTION, 2021, 卷号: 276, 页码: 9
Authors:  Ma, Runmei;  Ban, Jie;  Wang, Qing;  Zhang, Yayi;  Yang, Yang;  He, Mike Z.;  Li, Shenshen;  Shi, Wenjiao;  Li, Tiantian
Favorite  |  View/Download:22/0  |  Submit date:2021/06/10
Ambient ozone  Random forest model  Simulation  
Tidal Flat Extraction and Change Analysis Based on the RF-W Model: A Case Study of Jiaozhou Bay, East China 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 8, 页码: 18
Authors:  Yan, Jinfeng;  Zhao, Shiyi;  Su, Fenzhen;  Du, Jiaxue;  Feng, Pengfei;  Zhang, Shixun
Favorite  |  View/Download:6/0  |  Submit date:2021/06/10
tidal flats  random forest method  waterline method  Jiaozhou Bay