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Advances in Earth Science >

2023 , Vol. 38 >Issue 11: 1145 - 1157

DOI: https://doi.org/10.11867/j.issn.1001-8166.2023.062

Analysis of Temporal and Spatial Trends and Influencing Factors of Spectral Surface Albedo in Guizhou Province

  • Na YUAN ,
  • Lingling Deng ,
  • Xia YIN ,
  • Shanhai SONG ,
  • Suihua LIU
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  • 1.School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China
    2.Key Laboratory of Remote Sensing Applications for Mountain Resources and Environment, Guizhou Province, Guizhou Normal University, Guiyang 550025, China
    3.Guizhou Ecological Meteorology and Satellite Remote Sensing Center, Guiyang 550002, China
YUAN Na, Master student, research area includes geographic information and remote sensing. E-mail: y2043193797@163.com
LIU Suihua, Associate professor, research areas include geographic information system and remote sensing. E-mail: Lsh23@163.com

Received date: 2023-07-25

  Revised date: 2023-08-29

  Online published: 2023-11-08

Supported by

the National Natural Science Foundation of China(42161029);The Guizhou Provincial Science and Technology Project (Grant No. Qiankeheji-ZK[2022] General 278)

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Abstract

Guizhou Province, characterized by unique topography and complex climatic conditions, offers an excellent opportunity to study spectral surface albedo (short-wave, near-infrared, and visible light). Analyzing this refines surface parameters and understands the characteristics of solar spectral radiation but also provides scientific references to explore the physical processes of the relevant spectral radiation, variables in the process of energy conversion of the earth-air system in mountainous areas at low latitudes. Therefore, based on MCD43A3 albedo data, MCD15A2H Leaf Area Index (LAI), temperature, precipitation, land use, and soil moisture data, using anomalous variance analysis, Theil-Sen (T-S) and Mann-Kendall (M-K) trend analyses, and geophones, we analyzed the spatial and temporal trends and driving factors of spectral surface albedo in Guizhou Province. The results show that ① interannual changes in spectral surface albedo were in the order of size: near-infrared>short-wave>visible. In addition to visible surface albedo being on the rise (the three bands of surface albedo high-value area were basically the same), there was a line from the northeast to the southwest, and the western distribution of the characteristics of the County of Weining; ② considering seasonal changes, the size order of short-wave and near-infrared surface albedo was the same, as follows: summer>autumn>spring>winter and that of visible surface albedo was spring>winter. The sizes of short-wave and short-wave albedo were the same, as follows: summer> autumn>spring>winter, and that of visible surface albedo was: spring>winter>autumn>summer; ③ the driving factors of spectral surface albedo were LAI, followed by land use. The results of this study reveal spatial and temporal variations and driving mechanisms of the spectral surface albedo in Guizhou, which can provide a reference for the ecological protection of mountainous areas in Guizhou.

Key words： Spectral surface albedo; Spatial and temporal variability; Driving factors

Cite this article

Na YUAN , Lingling Deng , Xia YIN , Shanhai SONG , Suihua LIU . Analysis of Temporal and Spatial Trends and Influencing Factors of Spectral Surface Albedo in Guizhou Province[J]. Advances in Earth Science, 2023 , 38(11) : 1145 -1157 . DOI: 10.11867/j.issn.1001-8166.2023.062

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