Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface
Upscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based measurements. Conventional ground-based measurements cannot provide sufficient information on the characteristics of surface albedo at the scale of coarse...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-05-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2017.1334097 |
_version_ | 1797678573199294464 |
---|---|
author | Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Qiang Liu Xingwen Lin |
author_facet | Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Qiang Liu Xingwen Lin |
author_sort | Xiaodan Wu |
collection | DOAJ |
description | Upscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based measurements. Conventional ground-based measurements cannot provide sufficient information on the characteristics of surface albedo at the scale of coarse pixels over heterogeneous land surfaces. One method of overcoming this problem is to introduce high-resolution albedo imagery as ancillary information for upscaling. However, due to the low frequency of updating of high-resolution albedo maps, upscaling time series of ground-based albedo measurements is difficult. This paper proposes a method that is based on the idea of conceptual universal scaling methodology for establishing a spatiotemporal trend surface using very few high-resolution images and time series of ground-based measurements for spatial-temporal upscaling of albedo. The construction of the spatiotemporal trend surface incorporates the spatial information provided by auxiliary remote sensing images and the temporal information provided by long time series of ground observations. This approach was illustrated by upscaling ground-based fine-scale albedo measurements to a coarse scale over the core study area in HiWATER. The results indicate that this method can characterize the spatiotemporal variations in surface albedo well, and the overall correlation coefficient was 0.702 during the study period. |
first_indexed | 2024-03-11T23:01:54Z |
format | Article |
id | doaj.art-a79c7ef715d649818b38e8d94baf75dd |
institution | Directory Open Access Journal |
issn | 1753-8947 1753-8955 |
language | English |
last_indexed | 2024-03-11T23:01:54Z |
publishDate | 2018-05-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Digital Earth |
spelling | doaj.art-a79c7ef715d649818b38e8d94baf75dd2023-09-21T14:38:06ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552018-05-0111547048410.1080/17538947.2017.13340971334097Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surfaceXiaodan Wu0Jianguang Wen1Qing Xiao2Dongqin You3Qiang Liu4Xingwen Lin5State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesCollege of Global Change and Earth System Science, Beijing Normal UniversityState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesUpscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based measurements. Conventional ground-based measurements cannot provide sufficient information on the characteristics of surface albedo at the scale of coarse pixels over heterogeneous land surfaces. One method of overcoming this problem is to introduce high-resolution albedo imagery as ancillary information for upscaling. However, due to the low frequency of updating of high-resolution albedo maps, upscaling time series of ground-based albedo measurements is difficult. This paper proposes a method that is based on the idea of conceptual universal scaling methodology for establishing a spatiotemporal trend surface using very few high-resolution images and time series of ground-based measurements for spatial-temporal upscaling of albedo. The construction of the spatiotemporal trend surface incorporates the spatial information provided by auxiliary remote sensing images and the temporal information provided by long time series of ground observations. This approach was illustrated by upscaling ground-based fine-scale albedo measurements to a coarse scale over the core study area in HiWATER. The results indicate that this method can characterize the spatiotemporal variations in surface albedo well, and the overall correlation coefficient was 0.702 during the study period.http://dx.doi.org/10.1080/17538947.2017.1334097trend surfaceupscalingspatiotemporalheterogeneousalbedo |
spellingShingle | Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Qiang Liu Xingwen Lin Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface International Journal of Digital Earth trend surface upscaling spatiotemporal heterogeneous albedo |
title | Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface |
title_full | Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface |
title_fullStr | Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface |
title_full_unstemmed | Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface |
title_short | Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface |
title_sort | forward a spatio temporal trend surface for long term ground measured albedo upscaling over heterogeneous land surface |
topic | trend surface upscaling spatiotemporal heterogeneous albedo |
url | http://dx.doi.org/10.1080/17538947.2017.1334097 |
work_keys_str_mv | AT xiaodanwu forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface AT jianguangwen forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface AT qingxiao forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface AT dongqinyou forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface AT qiangliu forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface AT xingwenlin forwardaspatiotemporaltrendsurfaceforlongtermgroundmeasuredalbedoupscalingoverheterogeneouslandsurface |