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Remote Sensing for Natural Resources    2024, Vol. 36 Issue (1) : 200-209     DOI: 10.6046/zrzyyg.2022486
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Spatio-temporal variations and influencing factors of the stable forest land surface albedo in southeastern Guizhou Province
YUAN Na1,2(), LIU Suihua1,2(), HU Haitao1,2, YIN Xia1,2, SONG Shanhai3
1. College of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China
2. Key Laboratory of Remote Sensing Applications for Mountain Resources and Environment, Guizhou Normal University, Guiyang 550025, China
3. Guizhou Ecological Meteorology and Satellite Remote Sensing Center, Guiyang 550002, China
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Abstract  

Land surface albedo (LSA) directly affects the radiation balance and surface energy balance of the earth-atmosphere system. Stable forest land exhibits integrated ecological vegetation, a relatively stable regional microclimate, and an intricate relationship with LSA. Based on the MODIS LSA (MCD43A3), enhanced vegetation index (EVI,MOD13Q1), land use (MOD12Q1), soil moisture, air temperature, and precipitation data, this study investigated the spatio-temporal variations in LSA of stable forest land in southeastern Guizhou Province, as well as their correlation with various factors and driving factors, through Theil-Sen (T-S)/Mann-Kendall (M-K) trend analysis, correlation analysis, and multiple regression analysis. The results show that: ① The stable forest land exhibited LSAs varying between 0.102~0.112, 0.110~0.113, and 0.099~0.102, respectively in the interannual period, growing season, and dormant season. These suggest an overall stable trend and a spatial distribution pattern characterized by low values in the central portion and high values in surrounding areas; ② The LSA was significantly negatively correlated with soil moisture in the inter-annual period and the growing season, with correlation coefficients of -0.951 and -0.943, respectively. In the dormant season, the LSA was significantly positively correlated with EVI, with a correlation coefficient of 0.933; ③ The LSA was subjected to the negative driving by EVI and air temperature and positive driving by soil moisture in the interannual period, growing season, and dormant season, with standardized coefficients of -9.168, -11.332, and 1.319, respectively. The results of this study can assist in accurately understanding the driving mechanism behind the LSA of stable forest land in southeastern Guizhou Province, thereby providing a reference for studying the climate change of forest land in small areas at low latitudes.

Keywords southeastern Guizhou Province      stable forest land      land surface albedo      spatio-temporal variation      driving factor     
ZTFLH:  TP79  
Issue Date: 13 March 2024
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Na YUAN
Suihua LIU
Haitao HU
Xia YIN
Shanhai SONG
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Na YUAN,Suihua LIU,Haitao HU, et al. Spatio-temporal variations and influencing factors of the stable forest land surface albedo in southeastern Guizhou Province[J]. Remote Sensing for Natural Resources, 2024, 36(1): 200-209.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022486     OR     https://www.gtzyyg.com/EN/Y2024/V36/I1/200
Fig.1  Location of Qiandongnan and distribution of stable forest land from 2003 to 2018
Fig.2  Temporal trends in surface albedo of stable forest land during 2003—2018
Fig.3  Interannual, growing season and dormant season spatial trends in surface albedo of stable forest land during 2003—2018
Fig.4  Spatial trends in surface albedo of stable forest land during 2003—2010 and 2011—2018
Fig.5  Correlation between interannual surface albedo and various factors on stable forest land from 2003 to 2018
Fig.6  Correlation of surface albedo with each factor in the growing season of stable forest land from 2003 to 2018
Fig.7  Correlation of surface albedo with each factor in the dormant season of stable forest land from 2003 to 2018
驱动因子 休眠季 生长季 年均值
降水 0.889 1.892 1.371
气温 1.199 11.332 1.564
EVI 1.197 6.287 9.168
土壤水分 1.319 1.508 2.246
Tab.1  Absolute values of standardized coefficients of surface albedo drivers in Qiandongnan during 2003—2018
Fig.8  Spatial distribution of albedo with relative importance of each factor in annual mean, growing and dormant seasons from 2003 to 2018
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