Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling

With the development of quantitative remote sensing, scale issues have attracted more and more the attention of scientists. Research is now suffering from a severe scale discrepancy between data sources and the models used. Consequently, both data interpretation and model application become difficul...

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Main Authors: Hua Wu, Zhao-Liang Li
Format: Article
Language:English
Published: MDPI AG 2009-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/3/1768/
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author Hua Wu
Zhao-Liang Li
author_facet Hua Wu
Zhao-Liang Li
author_sort Hua Wu
collection DOAJ
description With the development of quantitative remote sensing, scale issues have attracted more and more the attention of scientists. Research is now suffering from a severe scale discrepancy between data sources and the models used. Consequently, both data interpretation and model application become difficult due to these scale issues. Therefore, effectively scaling remotely sensed information at different scales has already become one of the most important research focuses of remote sensing. The aim of this paper is to demonstrate scale issues from the points of view of analysis, processing and modeling and to provide technical assistance when facing scale issues in remote sensing. The definition of scale and relevant terminologies are given in the first part of this paper. Then, the main causes of scale effects and the scaling effects on measurements, retrieval models and products are reviewed and discussed. Ways to describe the scale threshold and scale domain are briefly discussed. Finally, the general scaling methods, in particular up-scaling methods, are compared and summarized in detail.
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spelling doaj.art-c788cac616f846678af1319f86405d3a2022-12-22T01:56:35ZengMDPI AGSensors1424-82202009-03-01931768179310.3390/s90301768Scale Issues in Remote Sensing: A Review on Analysis, Processing and ModelingHua WuZhao-Liang LiWith the development of quantitative remote sensing, scale issues have attracted more and more the attention of scientists. Research is now suffering from a severe scale discrepancy between data sources and the models used. Consequently, both data interpretation and model application become difficult due to these scale issues. Therefore, effectively scaling remotely sensed information at different scales has already become one of the most important research focuses of remote sensing. The aim of this paper is to demonstrate scale issues from the points of view of analysis, processing and modeling and to provide technical assistance when facing scale issues in remote sensing. The definition of scale and relevant terminologies are given in the first part of this paper. Then, the main causes of scale effects and the scaling effects on measurements, retrieval models and products are reviewed and discussed. Ways to describe the scale threshold and scale domain are briefly discussed. Finally, the general scaling methods, in particular up-scaling methods, are compared and summarized in detail.http://www.mdpi.com/1424-8220/9/3/1768/Scale effectsScalingScale domainScale thresholdRemote Sensing
spellingShingle Hua Wu
Zhao-Liang Li
Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
Sensors
Scale effects
Scaling
Scale domain
Scale threshold
Remote Sensing
title Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
title_full Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
title_fullStr Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
title_full_unstemmed Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
title_short Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling
title_sort scale issues in remote sensing a review on analysis processing and modeling
topic Scale effects
Scaling
Scale domain
Scale threshold
Remote Sensing
url http://www.mdpi.com/1424-8220/9/3/1768/
work_keys_str_mv AT huawu scaleissuesinremotesensingareviewonanalysisprocessingandmodeling
AT zhaoliangli scaleissuesinremotesensingareviewonanalysisprocessingandmodeling