Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates

被引:2
|
作者
Bulawka, Nazarij [1 ]
Orengo, Hector A. [1 ,2 ]
机构
[1] Catalan Inst Class Archaeol, Landscape Archaeol Res Grp GIAP, Placa Rovellat S-N, Tarragona 43003, Spain
[2] Catalan Inst Res & Adv Studies ICREA, Passeig Lluis Co 23, Barcelona 08010, Spain
关键词
irrigation; landscape archaeology; remote sensing; TanDEM-X; Sentinel-1; Sentinel-2; LANDSAT; 5; Google Earth Engine; GOOGLE EARTH ENGINE; VEGETATION INDEXES; SETTLEMENT; PLANT; SET; MAP;
D O I
10.3390/rs16111997
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页数:25
相关论文
共 50 条
  • [21] Wetland mapping by fusion of airborne laser scanning and multi-temporal multispectral satellite imagery
    Shadaydeh, Maha
    Zlinszky, Andras
    Manno-Kovacs, Andrea
    Sziranyi, Tamas
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (23) : 7422 - 7440
  • [22] Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery
    McInerney, Daniel
    Kempeneers, Pieter
    Marron, Magdalene
    McRoberts, Ronald E.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 78 : 130 - 137
  • [23] Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis
    Charrua, Alberto Bento
    Padmanaban, Rajchandar
    Cabral, Pedro
    Bandeira, Salomao
    Romeiras, Maria M.
    REMOTE SENSING, 2021, 13 (02) : 1 - 17
  • [24] Multi-temporal satellite imagery and data fusion for improved land cover information extraction
    Kandrika, Sreenivas
    Ravisankar, T.
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2011, 2 (01) : 61 - 73
  • [25] Monitoring landscape change in Kathmandu metropolitan region using multi-temporal satellite imagery
    Thapa, Rajesh Bahadur
    EARTH OBSERVING MISSIONS AND SENSORS: DEVELOPMENT, IMPLEMENTATION, AND CHARACTERIZATION II, 2012, 8528
  • [26] Multi-temporal change detection for SAR imagery
    Oliver, C
    McConnell, I
    Corr, D
    SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES II, 1999, 3869 : 55 - 66
  • [27] Vehicle tracking with multi-temporal hyperspectral imagery
    Kerekes, John
    Muldowney, Michael
    Strackerjan, Kristin
    Smith, Lon
    Leahy, Brian
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, 6233
  • [28] Multi-temporal change detection for SAR imagery
    Oliver, Chris
    Mcconnell, Ian
    Corr, Douglas
    Proceedings of SPIE - The International Society for Optical Engineering, 3869 : 55 - 66
  • [29] Application of multi-temporal high-resolution imagery and GPS in a study of the motion of a canyon rim landslide
    Chadwick, J
    Dorsch, S
    Glenn, N
    Thackray, G
    Shilling, K
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2005, 59 (04) : 212 - 221
  • [30] Predicting spatial and temporal changes in surface urban heat islands using multi-temporal satellite imagery: A case study of Tehran metropolis
    Kiavarz, Majid
    Hosseinbeigi, Sara Bourbour
    Mijani, Naeim
    Shahsavary, Mohammad Sina
    Firozjaei, Mohammad Karimi
    URBAN CLIMATE, 2022, 45