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
  
  1. CAS IR Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共18条，第1-10条 帮助

条数/页： 排序方式：
Neural processes responsible for the translation of sustained nociceptive inputs into subjective pain experience 期刊论文  OAI收割
CEREBRAL CORTEX, 2022, 页码: 17
作者:  Wang, Hailu;  Guo, Yifei;  Tu, Yiheng;  Peng, Weiwei;  Lu, Xuejing
  |  收藏  |  浏览/下载：57/0  |  提交时间：2022/04/08
Integrated Environmental Effect Assessment on Large Coal-Electricity Production Base and Sustainability Strategy: A Case in Xilin Gol, China 期刊论文  OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 15, 页码: 1-8
作者:  Wang, Chenxing;  Yan, Yan;  Li, Jiaxun;  Quan, Yuan;  Li, Shanlin
  |  收藏  |  浏览/下载：29/0  |  提交时间：2021/08/31
Global NDVI Patterns in Response to Atmospheric Water Vapor Anomalies over the Indo-Pacific Warm Pool during April-June 期刊论文  OAI收割
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 4, 页码: 1167-1180
作者:  Wang, Zhaosheng;  Huang, Mei;  Wang, Rong;  Wang, Shaoqiang;  Liu, Xiaodong
  |  收藏  |  浏览/下载：58/0  |  提交时间：2019/05/22
Global NDVI Patterns in Response to Atmospheric Water Vapor Anomalies over the Indo-Pacific Warm Pool during April-June 期刊论文  OAI收割
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 4, 页码: 1167-1180
作者:  Wang, Zhaosheng;  Huang, Mei;  Wang, Rong;  Wang, Shaoqiang;  Liu, Xiaodong
  |  收藏  |  浏览/下载：22/0  |  提交时间：2020/06/23
Global NDVI Patterns in Response to Atmospheric Water Vapor Anomalies over the Indo-Pacific Warm Pool during April-June 期刊论文  OAI收割
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 4, 页码: 1167-1180
作者:  Wang, Zhaosheng;  Huang, Mei;  Wang, Rong;  Wang, Shaoqiang;  Liu, Xiaodong
  |  收藏  |  浏览/下载：19/0  |  提交时间：2019/05/22
Global NDVI Patterns in Response to Atmospheric Water Vapor Anomalies over the Indo-Pacific Warm Pool during April-June 期刊论文  OAI收割
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 4, 页码: 1167-1180
作者:  Wang, Zhaosheng;  Huang, Mei;  Wang, Rong;  Wang, Shaoqiang;  Liu, Xiaodong
  |  收藏  |  浏览/下载：12/0  |  提交时间：2019/05/22
Temporal and spatial characteristics of harmful algal blooms in Qingdao Waters,China CNKI期刊论文  OAI收割
2017
作者:  Yuan YQ(袁涌铨);  Yu ZM(俞志明);  Song XX(宋秀贤);  Cao XH(曹西华)
  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/12/18
Temporal and spatial characteristics of harmful algal blooms in Qingdao Waters, China 期刊论文  OAI收割
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2017, 卷号: 35, 期号: 2, 页码: 400-414
作者:  Yuan Yongquan;  Yu Zhiming;  Song Xiuxian;  Cao Xihua
收藏  |  浏览/下载：28/0  |  提交时间：2017/07/07
Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文  OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Cao J.; Chen H.; Sun J.
收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25
In most applications of remote sensing data  special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research  Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods  the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China  the MODIS data located in the study area was classified into the five land cover types  including water  grasslands  forests  farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally  Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.  
Consumers' willingness to pay for traceable pork, milk, and cooking oil in Nanjing, China SCI/SSCI论文  OAI收割
2012
Zhang C. P.; Bai J. F.; Wahl T. I.
收藏  |  浏览/下载：29/0  |  提交时间：2012/09/04