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 [8]
地质与地球物理研究所 [1]
南京地质古生物研究所 [1]
采集方式
OAI收割 [10]
内容类型
期刊论文 [10]
发表日期
2024 [10]
学科主题
筛选
浏览/检索结果:
共10条,第1-10条
帮助
限定条件
发表日期:2024
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
Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China
期刊论文
OAI收割
JOURNAL OF FORESTRY RESEARCH, 2024, 卷号: 35, 期号: 1, 页码: 15
作者:
Meng, Shengwang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/05/06
Allometry
Aboveground biomass
Additivity
Regeneration
Subtropical China
Species-specific and generalized allometric equations for improving aboveground biomass estimations of 33 understory woody species in northeastern China forest ecosystems
期刊论文
OAI收割
CANADIAN JOURNAL OF FOREST RESEARCH, 2024, 卷号: N/A
作者:
Meng, Shengwang
;
Zhou, Guang
;
Liu, Wenhui
;
Yu, Jian
;
Zhou, Hua
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/04/08
additivity
allometry
small trees
shrubs
weighted nonlinear seemingly unrelated regression
Compound drought and hot stresses projected to be key constraints on maize production in Northeast China under future climate
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 218, 页码: 13
作者:
Zhang, Chuanwei
;
Gao, Jiangbo
;
Liu, Lulu
;
Wu, Shaohong
  |  
收藏
  |  
浏览/下载:216/0
  |  
提交时间:2024/05/06
Compound drought and hot
Climate change
Maize
APSIM
Northeast China
Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, and phosphorus and their ratios in the Xizang grasslands?
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2024, 卷号: 11, 页码: 1340020
作者:
Wang, Shaohua
;
Qi, Huxiao
;
Li, Tianyu
;
Qin, Yong
;
Fu, Gang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/03/11
big data mining
random forest
global change
Tibetan plateau
alpine region
Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
期刊论文
OAI收割
PALAEONTOLOGIA ELECTRONICA, 2024, 页码: 19
作者:
Zhang, Bo
;
Xin, Cunlin
;
Yang, Dong
;
Jiao, Zhipeng
;
Liu, Songxin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/03/14
Machine learning
Czekanowskiales
numerical taxonomy
fossil identification
Assessing spatial variations in soil organic carbon and C:N ratio in Northeast China's black soil region: Insights from Landsat-9 satellite and crop growth information
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2024, 卷号: 235, 页码: 14
作者:
Geng, Jing
;
Tan, Qiuyuan
;
Lv, Junwei
;
Fang, Huajun
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2023/11/13
Black soils
Landsat-9
Crop growth
Multi -temporal imagery
Mapping soil particle-size fractions based on compositional balances
期刊论文
OAI收割
CATENA, 2024, 卷号: 234, 页码: 12
作者:
Zhang, Mo
;
Shi, Wenjiao
;
Ma, Yuxin
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/22
Soil particle-size fractions
Isometric log-ratio
Random forest
Regression kriging
Compositional balance
A progressive framework combining unsupervised and optimized supervised learning for debris flow susceptibility assessment
期刊论文
OAI收割
CATENA, 2024, 卷号: 234, 页码: 16
作者:
Liu, Yongqiang
;
Chen, Jianping
;
Sun, Xiaohui
;
Li, Yongchao
;
Zhang, Yiwei
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/12/27
Debris flow susceptibility
Watershed unit
Unsupervised learning
Supervised learning
Multi-source data
Individual Tree-Level Monitoring of Pest Infestation Combining Airborne Thermal Imagery and Light Detection and Ranging
期刊论文
OAI收割
FORESTS, 2024, 卷号: 15, 期号: 1, 页码: 16
作者:
Wang, Jingxu
;
Lin, Qinan
;
Meng, Shengwang
;
Huang, Huaguo
;
Liu, Yangyang
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/01
pine shoot beetle
shoot damage ratio
canopy temperature
thermal infrared imagery
LiDAR
Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 1, 页码: 39
作者:
Ji, Zhonglin
;
Ren, Hongyan
;
Zha, Chenfeng
;
Adem, Eshetu Shifaw
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/02/05
remote sensing
ALOS
GF
object-oriented
machine learning