中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [14]
长春光学精密机械与物... [1]
中国科学院大学 [1]
自动化研究所 [1]
水土保持研究所 [1]
生态环境研究中心 [1]
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OAI收割 [19]
iSwitch采集 [1]
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期刊论文 [13]
SCI/SSCI论文 [5]
会议论文 [1]
学位论文 [1]
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2022 [1]
2021 [4]
2020 [2]
2018 [3]
2016 [3]
2015 [1]
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Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2022, 卷号: 69, 页码: 14
作者:
Rhif, Manel
;
Ben Abbes, Ali
;
Martinez, Beatriz
;
de Jong, Rogier
;
Sang, Yanfang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/09/21
Spatio-temporal analysis
Time-series
Trend detection
Non-stationary
Vegetation
Remote sensing images
Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales
期刊论文
OAI收割
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2021, 卷号: 35, 页码: 31-37
作者:
Sang, Yan-Fang
;
Sivakumar, Bellie
;
Zhu, Yanxin
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/06/10
Hydrologic variability
Signal detection
Discrete wavelet spectrum
Periodicities
Trend
Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales
期刊论文
OAI收割
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2021, 卷号: 35, 页码: 31-37
作者:
Sang, Yan-Fang
;
Sivakumar, Bellie
;
Zhu, Yanxin
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/06/10
Hydrologic variability
Signal detection
Discrete wavelet spectrum
Periodicities
Trend
The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 756, 页码: 15
作者:
Huang, Ke
;
Zhang, Yangjian
;
Tagesson, Torbern
;
Brandt, Martin
;
Wang, Lanhui
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/03/15
Trend detection
Physiological phenology
Structural phenology
SOS
Snow cover
Tibetan Plateau
The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 756, 页码: 15
作者:
Huang, Ke
;
Zhang, Yangjian
;
Tagesson, Torbern
;
Brandt, Martin
;
Wang, Lanhui
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/03/15
Trend detection
Physiological phenology
Structural phenology
SOS
Snow cover
Tibetan Plateau
Annual 30-m land use/land cover maps of China for 1980-2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2020, 页码: 18
作者:
Xu, Yidi
;
Yu, Le
;
Peng, Dailiang
;
Zhao, Jiyao
;
Cheng, Yuqi
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/03/23
Land use land cover (LULC)
Breaks for Additive Seasonal and Trend (BFAST)
Change detection
Annual
China
Scale and landscape features matter for understanding the performance of large payments for ecosystem services
期刊论文
OAI收割
LANDSCAPE AND URBAN PLANNING, 2020, 卷号: 197, 页码: 1-9
作者:
Lu, Yihe
;
Li, Ting
;
Whitham, Charlotte
;
Feng, Xiaoming
;
Fu, Bojie
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/08/31
Vegetation change
Ecological conservation
Governmental payments
Restoration trend detection
Performance assessment
Comparative analysis
Gradation of the significance level of trends in precipitation over China
期刊论文
OAI收割
HYDROLOGY RESEARCH, 2018, 卷号: 49, 期号: 6, 页码: 1890-1901
作者:
Xie, Ping
;
Zhao, Yuxi
;
Sang, Yan-Fang
;
Gu, Haiting
;
Wu, Ziyi
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/05/23
detection and attribution
global climate change
hydrological variability
significance
stochastic process
trend
Gradation of the significance level of trends in precipitation over China
期刊论文
OAI收割
HYDROLOGY RESEARCH, 2018, 卷号: 49, 期号: 6, 页码: 1890-1901
作者:
Xie, Ping
;
Zhao, Yuxi
;
Sang, Yan-Fang
;
Gu, Haiting
;
Wu, Ziyi
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/05/23
detection and attribution
global climate change
hydrological variability
significance
stochastic process
trend
Gradation of the significance level of trends in precipitation over China
期刊论文
OAI收割
HYDROLOGY RESEARCH, 2018, 卷号: 49, 期号: 6, 页码: 1890-1901
作者:
Xie, Ping
;
Zhao, Yuxi
;
Sang, Yan-Fang
;
Gu, Haiting
;
Wu, Ziyi
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/05/23
detection and attribution
global climate change
hydrological variability
significance
stochastic process
trend