Arid
DOI10.3390/rs13173402
Combining Optical and Radar Satellite Imagery to Investigate the Surface Properties and Evolution of the Lordsburg Playa, New Mexico, USA
Eibedingil, Iyasu G.; Gill, Thomas E.; Van Pelt, R. Scott; Tong, Daniel Q.
通讯作者Eibedingil, IG (corresponding author), Univ Texas El Paso, Environm Sci & Engn Program, El Paso, TX 79968 USA.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:17
英文摘要Driven by erodible soil, hydrological stresses, land use/land cover (LULC) changes, and meteorological parameters, windblown dust events initiated from Lordsburg Playa, New Mexico, United States, threaten public safety and health through low visibility and exposure to dust emissions. Combining optical and radar satellite imagery products can provide invaluable benefits in characterizing surface properties of desert playas-a potent landform for wind erosion. The optical images provide a long-term data record, while radar images can observe land surface irrespective of clouds, darkness, and precipitation. As a home for optical and radar imagery, powerful algorithms, cloud computing infrastructure, and application programming interface applications, Google Earth Engine (GEE) is an invaluable resource facilitating acquisition, processing, and analysis. In this study, the fractional abundance of soil, vegetation, and water endmembers were determined from pixel mixtures using the linear spectral unmixing model in GEE for Lordsburg Playa. For this approach, Landsat 5 and 8 images at 30 m spatial resolution and Sentinel-2 images at 10-20 m spatial resolution were used. Employing the Interferometric Synthetic Aperture Radar (InSAR) techniques, the playa's land surface changes and possible sinks for sediment loading from the surrounding catchment area were identified. In this data recipe, a pair of Sentinel-1 images bracketing a monsoon day with high rainfall and a pair of images representing spring (dry, windy) and monsoon seasons were used. The combination of optical and radar images significantly improved the effort to identify long-term changes in the playa and locations within the playa susceptible to hydrological stresses and LULC changes. The linear spectral unmixing algorithm addressed the limitation of Landsat and Sentinel-2 images related to their moderate spatial resolutions. The application of GEE facilitated the study by minimizing the time required for acquisition, processing, and analysis of images, and storage required for the big satellite data.
英文关键词spectral unmxing optical imagery SAR imagery Google Earth Engine hydrology playa
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000694606100001
WOS关键词WIND EROSION ; ROUGHNESS ELEMENTS ; DUST EMISSIONS ; TIME-SERIES ; HIGH-PLAINS ; LAKE ; COVER ; WATER ; ERODIBILITY ; DESERT
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/2XILL650/364482
作者单位[Eibedingil, Iyasu G.; Gill, Thomas E.] Univ Texas El Paso, Environm Sci & Engn Program, El Paso, TX 79968 USA; [Gill, Thomas E.] Univ Texas El Paso, Dept Earth Environm & Resource Sci, El Paso, TX 79968 USA; [Van Pelt, R. Scott] USDA ARS, Big Spring, TX 79720 USA; [Tong, Daniel Q.] George Mason Univ, Dept Atmospher Ocean & Earth Sci, Fairfax, VA 22030 USA
推荐引用方式
GB/T 7714
Eibedingil, Iyasu G.,Gill, Thomas E.,Van Pelt, R. Scott,et al. Combining Optical and Radar Satellite Imagery to Investigate the Surface Properties and Evolution of the Lordsburg Playa, New Mexico, USA[J],2021,13(17).
APA Eibedingil, Iyasu G.,Gill, Thomas E.,Van Pelt, R. Scott,&Tong, Daniel Q..(2021).Combining Optical and Radar Satellite Imagery to Investigate the Surface Properties and Evolution of the Lordsburg Playa, New Mexico, USA.REMOTE SENSING,13(17).
MLA Eibedingil, Iyasu G.,et al."Combining Optical and Radar Satellite Imagery to Investigate the Surface Properties and Evolution of the Lordsburg Playa, New Mexico, USA".REMOTE SENSING 13.17(2021).
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
[Eibedingil, Iyasu G.]的文章
[Gill, Thomas E.]的文章
[Van Pelt, R. Scott]的文章
百度学术
百度学术中相似的文章
[Eibedingil, Iyasu G.]的文章
[Gill, Thomas E.]的文章
[Van Pelt, R. Scott]的文章
必应学术
必应学术中相似的文章
[Eibedingil, Iyasu G.]的文章
[Gill, Thomas E.]的文章
[Van Pelt, R. Scott]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。