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	Temporal Upscaling of MODIS 1-km Instantaneous Land Surface Temperature to Monthly Mean Value: Method Evaluation and Product Generation 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 5001214 作者: Liu, Xiangyang; Li, Zhao-Liang; Li, Jia-Hao; Leng, Pei; Liu, Meng \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/01/04 Land surface temperature Satellites Temperature measurement MODIS Temperature distribution Atmospheric modeling Spatial resolution Land surface temperature (LST) Moderate Resolution Imaging Spectroradiometer (MODIS) monthly mean temperature temporal upscaling
	A fundamental theorem for eco-environmental surface modelling and its applications 期刊论文 OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2020, 页码: 21 作者: Yue, Tianxiang; Zhao, Na; Liu, Yu; Wang, Yifu; Zhang, Bin \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2021/03/23 HASM FTEEM Spatial upscaling Spatial downscaling Spatial interpolation Data fusion Model-data assimilation Model coupling
	A fundamental theorem for eco-environmental surface modelling and its applications 期刊论文 OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2020, 页码: 21 作者: Yue, Tianxiang; Zhao, Na; Liu, Yu; Wang, Yifu; Zhang, Bin \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2021/03/23 HASM FTEEM Spatial upscaling Spatial downscaling Spatial interpolation Data fusion Model-data assimilation Model coupling
	An integrated method for validating long-term leaf area index products using global networks of site-based measurements 期刊论文 OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 209, 页码: 134-151 作者: Xu, Baodong; Li, Jing; Park, Taejin; Liu, Qinhuo; Zeng, Yelu \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2018/03/19 Spatial representativeness grading Spatial upscaling Time-series ground measurements Global networks Leaf Area Index (LAI) Validation
	A METHOD FOR SPATIAL UPSCALING OF GROUND LAI MEASUREMENTS TO THE REMOTELY SENSED PRODUCT PIXEL GRID 会议论文 OAI收割 Beijing, JUL 10-15, 2016 作者: Xu Baodong; Li Jing; Liu Qinhuo \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/08/20 Spatial upscaling Leaf Area Index Ground measurements Validation
	Can soil water measurements at a certain depth be used to estimate mean soil water content of a soil profile at a point or at a hillslope scale? SCI/SSCI论文 OAI收割 2014 Hu W.; Si B. C. 收藏 \| 浏览/下载：18/0 \| 提交时间：2014/12/24 Spatial variability Time stability Soil moisture Upscaling Spearman's rank correlation coefficient Mean relative difference temporal stability loess plateau near-surface catchment scale time stability moisture storage infiltration variability management
	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.