Reponses of Land Surface Albedo to Global Vegetation Greening: An Analysis Using GLASS Data

被引:2
|
作者
Li, Xijia [1 ]
Qu, Ying [2 ]
Xiao, Zhiqiang [3 ]
机构
[1] Jilin Jianzhu Univ, Sch Geomat & Prospecting Engn, Changchun 130118, Peoples R China
[2] Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Peoples R China
[3] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
land surface albedo; global vegetation greening; spatiotemporal trends; GLASS data; DIRECT-ESTIMATION ALGORITHM; BROAD-BAND ALBEDO; MODIS; COVER; DEFORESTATION; CLIMATE; CHINA;
D O I
10.3390/atmos14010031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Global vegetation greening during recent decades has been observed from various remote sensing data. The global and regional climate can be altered by an increase in carbon storage, as well as changes in land surface albedo (LSA) and evaporation. However, the LSA changes induced by global vegetation greening are still not clear, and contrasting responses of LSA to vegetation changes were reported in previous studies. In this study, we analyzed the LSA in response to global vegetation greening using the Global Land Surface Satellite (GLASS) data and a vegetation-induced LSA change model. The results showed that vegetation greening trends could be observed worldwide, which resulted in contrasting LSA responses at regional scales (LSA increased as leaf area index (LAI) increased, or LSA decreased as LAI increased). Moreover, these contrasting LSA responses to global vegetation greening were effectively explained by the albedo difference between a vegetation and soil background. The results provide new insights into the relationship between LSA changes and global vegetation dynamics, and can support recommendations for policies of vegetation protection, and large-scale afforestation and deforestation.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modelling
    Rechid, Diana
    Raddatz, Thomas J.
    Jacob, Daniela
    THEORETICAL AND APPLIED CLIMATOLOGY, 2009, 95 (3-4) : 245 - 255
  • [42] Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modelling
    Diana Rechid
    Thomas J. Raddatz
    Daniela Jacob
    Theoretical and Applied Climatology, 2009, 95 : 245 - 255
  • [43] Direct Estimation of Land Surface Albedo From Simultaneous MISR Data
    He, Tao
    Liang, Shunlin
    Wang, Dongdong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (05): : 2605 - 2617
  • [44] Estimating daily mean land surface albedo from MODIS data
    Wang, Dongdong
    Liang, Shunlin
    He, Tao
    Yu, Yunyue
    Schaaf, Crystal
    Wang, Zhuosen
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (10) : 4825 - 4841
  • [45] Latitudinal land-sea distributions and global surface albedo since the Cretaceous
    Kent, D., V
    Muttoni, G.
    PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2022, 585
  • [46] Forest Greening Increases Land Surface Albedo During the Main Growing Period Between 2002 and 2019 in China
    Yan, Hao
    Wang, Shaoqiang
    Dai, Junhu
    Wang, Junbang
    Chen, Jin
    Shugart, Herman H.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (06)
  • [47] VALIDATION OF GLOBAL LAND SURFACE SATELLITE PHASE-2 SURFACE BROADBAND ALBEDO PRODUCT
    Li, Xijia
    Yan, Hongbo
    Fan, Xianlei
    Ding, Yanling
    Qu, Ying
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1168 - 1171
  • [48] Exploitation of surface albedo derived from the Meteosat data to characterize land surface changes
    Pinty, B
    Verstraete, MM
    Gobron, N
    Roveda, F
    Govaerts, Y
    Martonchik, JV
    Diner, DJ
    Kahn, RA
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 2250 - 2252
  • [49] Exploitation of surface albedo derived from the Meteosat data to characterize land surface changes
    Pinty, B
    Verstraete, MM
    Gobron, N
    Roveda, F
    Govaerts, Y
    Martonchik, JV
    Diner, DJ
    Kahn, RA
    REMOTE SENSING AND CLIMATE MODELING: SYNERGIES AND LIMITATIONS, 2001, 7 : 51 - 67
  • [50] Varying snow and vegetation signatures of surface-albedo feedback on the Northern Hemisphere land warming
    Alessandri, Andrea
    Catalano, Franco
    De Felice, Matteo
    van den Hurk, Bart
    Balsamo, Gianpaolo
    ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (03)