Arid
DOI10.3390/rs16111997
Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates
Bulawka, Nazarij; Orengo, Hector A.
通讯作者Bulawka, N
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2024
卷号16期号:11
英文摘要The study of ancient irrigation is crucial in the archaeological research of arid regions. It covers a wide range of topics, with the Near East being the focus for decades. However, political instability and limited data have posed challenges to these studies. The primary objective is to establish a standardised method applicable to different arid environments using the Google Earth Engine platform, considering local relief of terrain and seasonal differences in vegetation. This study integrates multispectral data from LANDSAT 5, Sentinel-2, SAR imagery from Sentinel 1, and TanDEM-X (12 m and 30 m) DSMs. Using these datasets, calculations of selected vegetation indices such as the SMTVI and NDVSI, spectral decomposition methods such as TCT and PCA, and topography-based methods such as the MSRM contribute to a comprehensive understanding of landscape irrigation. This paper investigates the influence of modern environmental conditions on the visibility of features like levees and palaeo-channels by testing different methods and parameters. This study aims to identify the most effective approach for each case study and explore the possibility of applying a consistent method across all areas. Optimal results are achieved by combining several methods, adjusting seasonal parameters, and conducting a comparative analysis of visible features.
英文关键词irrigation landscape archaeology remote sensing TanDEM-X Sentinel-1 Sentinel-2 LANDSAT 5 Google Earth Engine
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:001245356800001
WOS关键词GOOGLE EARTH ENGINE ; VEGETATION INDEXES ; SETTLEMENT ; PLANT ; SET ; MAP
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/2XILL650/405297
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GB/T 7714
Bulawka, Nazarij,Orengo, Hector A.. Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates[J],2024,16(11).
APA Bulawka, Nazarij,&Orengo, Hector A..(2024).Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates.REMOTE SENSING,16(11).
MLA Bulawka, Nazarij,et al."Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates".REMOTE SENSING 16.11(2024).
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