Arid
DOI10.3390/rs11060632
A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization
Franch, Belen1,2; Vermote, Eric2; Skakun, Sergii1,2; Roger, Jean-Claude1,2; Masek, Jeffrey2; Ju, Junchang2,3; Villaescusa-Nadal, Jose Luis1,2; Santamaria-Artigas, Andres1,2
通讯作者Franch, Belen
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2019
卷号11期号:6
英文摘要The Harmonized Landsat/Sentinel-2 (HLS) project aims to generate a seamless surface reflectance product by combining observations from USGS/NASA Landsat-8 and ESA Sentinel-2 remote sensing satellites. These satellites' sampling characteristics provide nearly constant observation geometry and low illumination variation through the scene. However, the illumination variation throughout the year impacts the surface reflectance by producing higher values for low solar zenith angles and lower reflectance for large zenith angles. In this work, we present a model to derive the bidirectional reflectance distribution function (BRDF) normalization and apply it to the HLS product at 30 m spatial resolution. It is based on the BRDF parameters estimated from the MODerate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product (M{O,Y}D09) at 1 km spatial resolution using the VJB method (Vermote et al., 2009). Unsupervised classification (segmentation) of HLS images is used to disaggregate the BRDF parameters to the HLS spatial resolution and to build a BRDF parameters database at HLS scale. We first test the proposed BRDF normalization for different solar zenith angles over two homogeneous sites, in particular one desert and one Peruvian Amazon forest. The proposed method reduces both the correlation with the solar zenith angle and the coefficient of variation (CV) of the reflectance time series in the red and near infrared bands to 4% in forest and keeps a low CV of 3% to 4% for the deserts. Additionally, we assess the impact of the view zenith angle (VZA) in an area of the Brazilian Amazon forest close to the equator, where impact of the angular variation is stronger because it occurs in the principal plane. The directional reflectance shows a strong dependency with the VZA. The current HLS BRDF correction reduces this dependency but still shows an under-correction, especially in the near infrared, while the proposed method shows no dependency with the view angles. We also evaluate the BRDF parameters using field surface albedo measurements as a reference over seven different sites of the US surface radiation budget observing network (SURFRAD) and five sites of the Australian OzFlux network.
英文关键词HLS Landsat Sentinel 2 BRDF albedo SURFRAD OzFlux
类型Article
语种英语
国家USA
开放获取类型gold, Green Submitted
收录类别SCI-E
WOS记录号WOS:000465615300031
WOS关键词SNOW-FREE ALBEDO ; SURFACE REFLECTANCE ; BIDIRECTIONAL REFLECTANCE ; TM/ETM PLUS ; RETRIEVAL ; MODIS ; FOREST
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/218350
作者单位1.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA;
2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA
推荐引用方式
GB/T 7714
Franch, Belen,Vermote, Eric,Skakun, Sergii,et al. A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization[J],2019,11(6).
APA Franch, Belen.,Vermote, Eric.,Skakun, Sergii.,Roger, Jean-Claude.,Masek, Jeffrey.,...&Santamaria-Artigas, Andres.(2019).A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization.REMOTE SENSING,11(6).
MLA Franch, Belen,et al."A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization".REMOTE SENSING 11.6(2019).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Franch, Belen]的文章
[Vermote, Eric]的文章
[Skakun, Sergii]的文章
百度学术
百度学术中相似的文章
[Franch, Belen]的文章
[Vermote, Eric]的文章
[Skakun, Sergii]的文章
必应学术
必应学术中相似的文章
[Franch, Belen]的文章
[Vermote, Eric]的文章
[Skakun, Sergii]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。