中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究所 [9]
采集方式
OAI收割 [9]
内容类型
期刊论文 [9]
发表日期
2023 [1]
2022 [4]
2021 [1]
2020 [2]
2018 [1]
学科主题
Oceanograp... [1]
筛选
浏览/检索结果:
共9条,第1-9条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Oceanic Primary Production Estimation Based On Machine Learning
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2023, 卷号: 128, 期号: 5, 页码: e2022JC018980
作者:
Ping, Bo
;
Meng, Yunshan
;
Xue, Cunjin
;
Su, Fenzhen
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/07/14
oceanic primary production (OPP)
support vector regression (SVR)
Gaussian regression
random forest regression
vertically generalized productivity model (VGPM)
Eppley-VGPM
Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20
作者:
Han, Fusong
;
Fu, Gang
;
Yu, Chengqun
;
Wang, Shaohua
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/09/21
random-forest model
multiple linear regression
support-vector machines
recursive-regression trees
Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20
作者:
Han, Fusong
;
Fu, Gang
;
Yu, Chengqun
;
Wang, Shaohua
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/21
random-forest model
multiple linear regression
support-vector machines
recursive-regression trees
Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20
作者:
Han, Fusong
;
Fu, Gang
;
Yu, Chengqun
;
Wang, Shaohua
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/09/21
random-forest model
multiple linear regression
support-vector machines
recursive-regression trees
Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20
作者:
Han, Fusong
;
Fu, Gang
;
Yu, Chengqun
;
Wang, Shaohua
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/21
random-forest model
multiple linear regression
support-vector machines
recursive-regression trees
Research on the Spatio-Temporal Dynamic Evolution Characteristics and Influencing Factors of Electrical Power Consumption in Three Urban Agglomerations of Yangtze River Economic Belt, China Based on DMSP/OLS Night Light Data
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 6, 页码: 33
作者:
Zhong, Yang
;
Lin, Aiwen
;
Xiao, Chiwei
;
Zhou, Zhigao
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/07/09
YREB
three urban agglomerations
DMSP
OLS night light data
EPC
spatiotemporal dynamics
Geographically weighted regression (GWR) model
random forest algorithm
Spatially Explicit Mapping of Historical Population Density with Random Forest Regression: A Case Study of Gansu Province, China, in 1820 and 2000
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 3, 页码: 16
作者:
Wang, Fahao
;
Lu, Weidong
;
Zheng, Jingyun
;
Li, Shicheng
;
Zhang, Xuezhen
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/05/19
historical period
random forest regression model
population density
prediction
Gansu Province
Spatially Explicit Mapping of Historical Population Density with Random Forest Regression: A Case Study of Gansu Province, China, in 1820 and 2000
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 3, 页码: 16
作者:
Wang, Fahao
;
Lu, Weidong
;
Zheng, Jingyun
;
Li, Shicheng
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/05/19
historical period
random forest regression model
population density
prediction
Gansu Province
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 24
作者:
Yue, Jibo
;
Feng, Haikuan
;
Jin, Xiuliang
;
Yuan, Huanhuan
;
Li, Zhenhai
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2019/05/23
crop surface model
crop height
aboveground biomass
LAI
random forest regression
partial least squares regression