中国地理科学 ›› 2019, Vol. 20 ›› Issue (4): 679-688.doi: 10.1007/s11769-019-1052-0

• 论文 • 上一篇    下一篇

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

LI Jian1, CHEN Shengbo1, QIN Wenhan1, Mike MUREFU1, WANG Yufei2, YU Yan1, ZHEN Zhijun1   

  1. 1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Climate Centre of Jilin Province, Changchun 130062, China
  • 收稿日期:2019-01-04 修回日期:2018-09-10 出版日期:2019-08-27 发布日期:2019-06-28
  • 通讯作者: CHEN Shengbo.E-mail:chensb@jlu.edu.cn E-mail:chensb@jlu.edu.cn
  • 基金资助:

    Under the auspices the Fundamental Research Funds for the Central Universities, China (No. 2017TD-26), the Plan for Changbai Mountain Scholars of Jilin Province, China (No. JJLZ[2015]54)

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

LI Jian1, CHEN Shengbo1, QIN Wenhan1, Mike MUREFU1, WANG Yufei2, YU Yan1, ZHEN Zhijun1   

  1. 1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Climate Centre of Jilin Province, Changchun 130062, China
  • Received:2019-01-04 Revised:2018-09-10 Online:2019-08-27 Published:2019-06-28
  • Contact: CHEN Shengbo.E-mail:chensb@jlu.edu.cn E-mail:chensb@jlu.edu.cn
  • Supported by:

    Under the auspices the Fundamental Research Funds for the Central Universities, China (No. 2017TD-26), the Plan for Changbai Mountain Scholars of Jilin Province, China (No. JJLZ[2015]54)

摘要:

The Multi-angle imaging spectroradiometer (MISR) land-surface (LS) bidirectional reflectance factor (BRF) product (MILS_BRF) has unique semi-simultaneous multi-angle sampling and global coverage. However, unlike on-satellite observations, the spatio-temporal characteristics of MILS_BRF data have rarely been explicitly and comprehensively analysed. Results from 5-yr (2011-2015) of MILS_BRF dataset from a typical region in central Northeast Asia as the study area showed that the monthly area coverage as well as MILS_BRF data quantity varies significantly, from the highest in October (99.05%) through median in June/July (78.09%/75.21%) to lowest in January (18.97%), and a large data-vacant area exists in the study area during four consecutive winter months (December through March). The data-vacant area is mainly composed of crop lands and cropland/natural vegetation mosaic. The amount of data within the principal plane (PP) ±30° (nPP) or cross PP ±30° (nCP), varies intra-annually with significant differences from different view zeniths or forward/backward scattering directions. For example, multiple off-nadir cameras have nPP but no nCP data for up to six months (September through February), with the opposite occurring in June and July. This study provides explicit and comprehensive information about the spatio-temporal characteristics of product coverage and observation geometry of MILS_BRF in the study area. Results provide required user reference information for MILS_BRF to evaluate performance of BRDF models or to compare with other satellite-derived BRF or albedo products. Comparing this final product to on-satellite observations, what was found here reveals a new perspective on product spatial coverage and observation geometry for multi-angle remote sensing.

关键词: multi-angle remote sensing, Multi-angle Imaging Spectroradiometer (MISR), bidirectional reflectance factor (BRF), spa-tio-temporal characteristics, observation geometry

Abstract:

The Multi-angle imaging spectroradiometer (MISR) land-surface (LS) bidirectional reflectance factor (BRF) product (MILS_BRF) has unique semi-simultaneous multi-angle sampling and global coverage. However, unlike on-satellite observations, the spatio-temporal characteristics of MILS_BRF data have rarely been explicitly and comprehensively analysed. Results from 5-yr (2011-2015) of MILS_BRF dataset from a typical region in central Northeast Asia as the study area showed that the monthly area coverage as well as MILS_BRF data quantity varies significantly, from the highest in October (99.05%) through median in June/July (78.09%/75.21%) to lowest in January (18.97%), and a large data-vacant area exists in the study area during four consecutive winter months (December through March). The data-vacant area is mainly composed of crop lands and cropland/natural vegetation mosaic. The amount of data within the principal plane (PP) ±30° (nPP) or cross PP ±30° (nCP), varies intra-annually with significant differences from different view zeniths or forward/backward scattering directions. For example, multiple off-nadir cameras have nPP but no nCP data for up to six months (September through February), with the opposite occurring in June and July. This study provides explicit and comprehensive information about the spatio-temporal characteristics of product coverage and observation geometry of MILS_BRF in the study area. Results provide required user reference information for MILS_BRF to evaluate performance of BRDF models or to compare with other satellite-derived BRF or albedo products. Comparing this final product to on-satellite observations, what was found here reveals a new perspective on product spatial coverage and observation geometry for multi-angle remote sensing.

Key words: multi-angle remote sensing, Multi-angle Imaging Spectroradiometer (MISR), bidirectional reflectance factor (BRF), spa-tio-temporal characteristics, observation geometry