机构

• 地理科学与资源研究所 [3]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [2]
• 期刊论文 [2]
• SCI/SSCI论文 [1]

发表日期

• 2021 [2]
• 2012 [1]
• 2009 [1]
• 2003 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 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 Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 22, 页码: 19 作者:  Chen, Fangxin;  Liu, Zhengjia;  Zhong, Huimin;  Wang, Sisi   |  收藏  |  浏览/下载：12/0  |  提交时间：2022/09/21 land surface phenology  data suitability  satellite data  spatial scaling effects  the Loess Plateau   Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 22, 页码: 19 作者:  Chen, Fangxin;  Liu, Zhengjia;  Zhong, Huimin;  Wang, Sisi   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/09/21 land surface phenology  data suitability  satellite data  spatial scaling effects  the Loess Plateau   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：28/0  |  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.   Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling SCI/SSCI论文  OAI收割 2009 作者:  Wu H. 收藏  |  浏览/下载：20/0  |  提交时间：2012/06/08 Scale effects  Scaling  Scale domain  Scale threshold  Remote Sensing  leaf-area index  soil-moisture images  landscape spatial heterogeneity  surface-energy-balance  satellite data  modis  resolution  canopy  reflectance  temperature   The spatial scaling effects study of NPP using airborne and field data based on BEPS 会议论文  OAI收割 Igarss 2003: Ieee International Geoscience and Remote Sensing Symposium, Vols I - Vii, Proceedings: Learning from Earth's Shapes and Sizes, New York Chen, LF; Zhang, Q; Liu, Q; Xin, XZ; Chen, SS; Liu, QH; Li, ZL 收藏  |  浏览/下载：25/0  |  提交时间：2014/12/07 NPP  winter wheat  BEPS  spatial scaling effects  GENERAL-CIRCULATION MODEL  NET PRIMARY PRODUCTION  PRIMARY PRODUCTIVITY  SATELLITE DATA  EXCHANGE  CO2