Approach and validation on land surface albedo retrieval using multiangular remote sensing observations

被引:0
|
作者
Xie, L [1 ]
Wang, J [1 ]
Lil, XW [1 ]
Yan, GJ [1 ]
Xiang, YQ [1 ]
Zhang, H [1 ]
Ding, X [1 ]
Yang, H [1 ]
机构
[1] Beijing Normal Univ, Res Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main problem in the validation is that the field-measured albedo is different in scale from the albedo estimated using remote sensing data. The albedo-meter based field measurement is over a small area. On the contrary, the spatial resolution of the MODIS albedo production is about 1 km. Another problem is the different wavebands for albedo-meter and MODIS sensor. As a solution, we suggest to use the field multiangular measurements data that is captured in a small field of view (FOV) to retrieve the albedo by Ambrals model inversion. As a result, the retrieved albedo is comparable with that measured by albedo-meter since they have the same scale. At the same time, the effect of wavebands difference is also corrected. In the second step, we extend this method to the airborne MARS observations of the same target. Scaling-up can be considered based on the two inverted albedos. The retrieved albedo from airborne data can be validated using field measurement too. Finally, the airborne retrieved albedo can be used to validate the MODIS albedo production. In this framework, the field measured data sets come from a large satellite-airborne-ground synchronous experiment that was taken in Shunyi, which is in the north of Beijing, in April of 2001.
引用
收藏
页码:3211 / 3213
页数:3
相关论文
共 50 条
  • [1] Remote sensing retrieval of high-spatial-resolution land surface albedo
    Zhao C.
    Wen J.
    You D.
    Tang Y.
    Chen X.
    Liu Q.
    [J]. National Remote Sensing Bulletin, 2023, 27 (03) : 6 - 19
  • [2] Remote sensing of Albedo using the BRDF in relation to land surface properties
    Lucht, W
    Schaaf, C
    Strahler, AH
    d'Entremont, R
    [J]. OBSERVING LAND FROM SPACE: SCIENCE, CUSTOMERS AND TECHNOLOGY, 2000, 4 : 175 - 186
  • [3] Investigating the land surface albedo trend in Iran using remote sensing data
    Karbalaee, Ali Reza
    Hedjazizadeh, Zahra
    Masoodian, Seyed Abolfazl
    Keikhosravi-Kiany, Mohammad Sadegh
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (1-2) : 389 - 403
  • [4] Investigating the land surface albedo trend in Iran using remote sensing data
    Ali Reza Karbalaee
    Zahra Hedjazizadeh
    Seyed Abolfazl Masoodian
    Mohammad Sadegh Keikhosravi-Kiany
    [J]. Theoretical and Applied Climatology, 2022, 150 : 389 - 403
  • [5] The use of multiangular reflectance for remote sensing of land vegetation
    Konda, A
    Yamamoto, H
    Kajiwara, K
    Honda, Y
    [J]. IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 3247 - 3250
  • [6] Detection of land surface albedo changes over Iran using remote sensing data
    Motlagh, Omid Reza Kefayat
    Darand, Mohammad
    [J]. METEOROLOGICAL APPLICATIONS, 2024, 31 (04)
  • [7] Retrieval of land surface albedo from satellite observations: A simulation study
    Liang, SL
    Strahler, AH
    Walthall, C
    [J]. JOURNAL OF APPLIED METEOROLOGY, 1999, 38 (06): : 712 - 725
  • [8] Retrieval of land surface albedo from satellite observations: A simulation study
    Liang, SL
    Strahler, A
    Walthall, C
    [J]. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1286 - 1288
  • [9] A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product
    Lin, Xingwen
    Wen, Jianguang
    Tang, Yong
    Ma, Mingguo
    You, Dongqin
    Dou, Baocheng
    Wu, Xiaodan
    Zhu, Xiaobo
    Xiao, Qing
    Liu, Qinghuo
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 11 (03) : 308 - 328
  • [10] An improved land surface emissivity parameter for land surface models using global remote sensing observations
    Jin, Menglin
    Liang, Shunlin
    [J]. JOURNAL OF CLIMATE, 2006, 19 (12) : 2867 - 2881