Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China
The adjacency effect and non-uniform responses complicate the precise delimitation of the surface support of remote sensing data and their derived products. Thus, modeling spatial response characteristics (SRCs) prior to using remote sensing information has become important. A point spread function...
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doaj-ce03198e6e834396995ac42aa21ec20a2020-11-24T22:58:20ZengMDPI AGRemote Sensing2072-42922015-05-01766886690710.3390/rs70606886rs70606886Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, ChinaJingjing Peng0Qiang Liu1Lizhao Wang2Qinhuo Liu3Wenjie Fan4Meng Lu5Jianguang Wen6State Key Laboratory of Remote Sensing Science, Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, No. 20 Datun Road, Chaoyang District, Beijing 100101, ChinaCollege of Global Change and Earth System Science, Beijing Normal University, No. 19 Xinjiekou Road, Haidian District, Beijing 100875, ChinaCollege of Global Change and Earth System Science, Beijing Normal University, No. 19 Xinjiekou Road, Haidian District, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, No. 20 Datun Road, Chaoyang District, Beijing 100101, ChinaInstitute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, ChinaInstitute for Geoinformatics, Heisenbergstraße 2, D-48149 Münster, GermanyState Key Laboratory of Remote Sensing Science, Institute of Remote sensing and Digital Earth, Chinese Academy of Sciences, No. 20 Datun Road, Chaoyang District, Beijing 100101, ChinaThe adjacency effect and non-uniform responses complicate the precise delimitation of the surface support of remote sensing data and their derived products. Thus, modeling spatial response characteristics (SRCs) prior to using remote sensing information has become important. A point spread function (PSF) is typically used to describe the SRCs of the observation cells from remote sensors and is always estimated in a laboratory before the sensor is launched. However, research on the SRCs of high-order remote sensing products derived from the observations remains insufficient, which is an obstacle to converting between multi-scale remote sensing products and validating coarse-resolution products. This study proposed a method that combines simulation and validation to establish SRC models of coarse-resolution albedo products. Two series of commonly used 500-m/1-km resolution albedo products, which are derived from Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data, were investigated using 30-m albedo products that provide the required sub-pixel information. The analysis proves that the size of the surface support of each albedo pixel is larger than the nominal resolution of the pixel and that the response weight is non-uniformly distributed, with an elliptical Gaussian shape. The proposed methodology is generic and applicable for analyzing the SRCs of other advanced remote sensing products.http://www.mdpi.com/2072-4292/7/6/6886geophysical signal processingMODISalbedospatial responsepoint spread function (PSF) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jingjing Peng Qiang Liu Lizhao Wang Qinhuo Liu Wenjie Fan Meng Lu Jianguang Wen |
spellingShingle |
Jingjing Peng Qiang Liu Lizhao Wang Qinhuo Liu Wenjie Fan Meng Lu Jianguang Wen Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China Remote Sensing geophysical signal processing MODIS albedo spatial response point spread function (PSF) |
author_facet |
Jingjing Peng Qiang Liu Lizhao Wang Qinhuo Liu Wenjie Fan Meng Lu Jianguang Wen |
author_sort |
Jingjing Peng |
title |
Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China |
title_short |
Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China |
title_full |
Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China |
title_fullStr |
Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China |
title_full_unstemmed |
Characterizing the Pixel Footprint of Satellite Albedo Products Derived from MODIS Reflectance in the Heihe River Basin, China |
title_sort |
characterizing the pixel footprint of satellite albedo products derived from modis reflectance in the heihe river basin, china |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2015-05-01 |
description |
The adjacency effect and non-uniform responses complicate the precise delimitation of the surface support of remote sensing data and their derived products. Thus, modeling spatial response characteristics (SRCs) prior to using remote sensing information has become important. A point spread function (PSF) is typically used to describe the SRCs of the observation cells from remote sensors and is always estimated in a laboratory before the sensor is launched. However, research on the SRCs of high-order remote sensing products derived from the observations remains insufficient, which is an obstacle to converting between multi-scale remote sensing products and validating coarse-resolution products. This study proposed a method that combines simulation and validation to establish SRC models of coarse-resolution albedo products. Two series of commonly used 500-m/1-km resolution albedo products, which are derived from Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data, were investigated using 30-m albedo products that provide the required sub-pixel information. The analysis proves that the size of the surface support of each albedo pixel is larger than the nominal resolution of the pixel and that the response weight is non-uniformly distributed, with an elliptical Gaussian shape. The proposed methodology is generic and applicable for analyzing the SRCs of other advanced remote sensing products. |
topic |
geophysical signal processing MODIS albedo spatial response point spread function (PSF) |
url |
http://www.mdpi.com/2072-4292/7/6/6886 |
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