Spatiotemporal monitoring of post-fire soil erosion rates using earth observation (EO) data and cloud computing

被引:0
|
作者
Stefanidis, Stefanos P. [1 ]
Proutsos, Nikolaos D. [2 ]
Solomou, Alexandra D. [2 ]
Michopoulos, Panagiotis [2 ]
Bourletsikas, Athanassios [2 ]
Tigkas, Dimitris [3 ,4 ]
Spalevic, Velibor [5 ]
Kader, Shuraik [6 ]
机构
[1] Hellen Agr Org DIMITRA, Forest Res Inst, Thessaloniki 57006, Greece
[2] Hellen Agr Org DIMITRA, Inst Mediterranean Forest Ecosyst, Athens 11528, Greece
[3] Natl Tech Univ Athens, Ctr Assessment Nat Hazards & Proact Planning, Athens 15780, Greece
[4] Natl Tech Univ Athens, Lab Reclamat Works & Water Resources Management, Athens 15780, Greece
[5] Univ Montenegro, Biotech Fac, Podgorica 81000, Montenegro
[6] Griffith Univ, Sch Engn & Built Environm, Nathan, Qld 4111, Australia
关键词
RUSLE; Wildfires; Mediterranean landscape; Vegetation recovery; Sentinel-2; Era5-land; restoration works; RAINFALL EROSIVITY; R-FACTOR; WILDFIRE; RUSLE; FIRE; REGENERATION; DYNAMICS; PERFORMANCE; WATERSHEDS; POLICY;
D O I
10.1007/s11069-024-06907-4
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This research addressed on the crucial concern of soil erosion in the post-fire Mediterranean landscapes, regarding disastrous wildfires in Greece during 2021. These fires broke out at the Varympompi, Schinos, and Ancient Olympia-Gortynia. To accomplish these goals, the Revised Universal Soil Loss Equation (RUSLE) and Earth Observation (EO) data coupled with Google Earth Engine (GEE) were used to quantify the wildfire effects on erosion dynamics in the burned areas as well as the regulation provided from the emergency post-fire rehabilitation treatments. High-resolution EO data such as Sentinel-2 imagery and climate data from ERA5-Land were processed over the GEE platform to assess soil erosion factor changes before and after the fire occurrence. The analysis was followed up by measurements of the vegetation recovery and rainfall erosivity, which are crucial for the knowledge of erosion processes in such regions. Results displayed great increases in soil erosion post-fire, with rates at Ancient Olympia-Gortynia rising to 118.3 t ha(-1) y(-1) in the first hydrological year after fire from pre-fire rates of 9.8 t ha-1 y-1. At Schinos site, rates increased from a pre-fire average of 11.6 to 72.2 t ha(-1 )y(-1), and in Varympompi, from 4.8 to 28.8 t ha(-1) y-1. Post-fire restoration works reduced erosion processes by approximately 18%. Coupling RUSLE with GEE offers a novel opportunity for dynamic monitoring of soil erosion towards informing land management and policy formulation in the fire-prone Mediterranean ecosystems in relation to the mitigation of erosion. The policy formulation on land management within fire-prone Mediterranean-type ecosystems stands to be influenced by the findings of the current study. Indeed, this is of worldwide importance, whereby management practices need to be adopted to ensure that ecosystems recover rapidly and effectively after fires for the conservation of soil resources.
引用
收藏
页码:2873 / 2894
页数:22
相关论文
共 35 条
  • [1] Using polyacrylamide to mitigate post-fire soil erosion
    Inbar, Assaf
    Ben-Hur, Meni
    Sternberg, Marcelo
    Lado, Marcos
    GEODERMA, 2015, 239 : 107 - 114
  • [2] Combining Methods to Estimate Post-Fire Soil Erosion Using Remote Sensing Data
    Argentiero, Ilenia
    Ricci, Giovanni Francesco
    Elia, Mario
    D'Este, Marina
    Giannico, Vincenzo
    Ronco, Francesco Vito
    Gentile, Francesco
    Sanesi, Giovanni
    FORESTS, 2021, 12 (08):
  • [3] Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data
    Maxwald, Melanie
    Immitzer, Markus
    Rauch, Hans Peter
    Preti, Federico
    FIRE-SWITZERLAND, 2022, 5 (06):
  • [4] Cloud computing for environmental monitoring using multi-source Earth Observation data
    Yu, Wenyang
    Xie, Jibo
    Li, Guoqing
    2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2016, : 485 - 488
  • [5] Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting
    Alexiou, Simoni
    Papanikolaou, Ioannis
    Schneiderwind, Sascha
    Kehrle, Valerie
    Reicherter, Klaus
    REMOTE SENSING, 2024, 16 (05)
  • [6] Post-fire soil erosion: Two years of monitoring- First time detected implications between extremely intense consecutive rainfall events and erosion rates
    Kastridis, Aristeidis
    Margiorou, Stella
    Sapountzis, Marios
    CATENA, 2024, 243
  • [7] Assessment of Post-fire Soil Erosion Risk in Fire-Affected Watersheds Using Remote Sensing and GIS
    Mallinis, G.
    Maris, F.
    Kalinderis, I.
    Koutsias, N.
    GISCIENCE & REMOTE SENSING, 2009, 46 (04) : 388 - 410
  • [8] Effects of Post-Fire Vegetation Recovery on Soil Erosion in Vulnerable Montane Regions in a Monsoon Climate: A Decade of Monitoring
    Yoonmi Kim
    Chang-Gi Kim
    Kyu Song Lee
    Yeonsook Choung
    Journal of Plant Biology, 2021, 64 : 123 - 133
  • [9] Effects of Post-Fire Vegetation Recovery on Soil Erosion in Vulnerable Montane Regions in a Monsoon Climate: A Decade of Monitoring
    Kim, Yoonmi
    Kim, Chang-Gi
    Lee, Kyu Song
    Choung, Yeonsook
    JOURNAL OF PLANT BIOLOGY, 2021, 64 (02) : 123 - 133
  • [10] Using spatiotemporal patterns to optimize Earth Observation Big Data access: Novel approaches of indexing, service modeling and cloud computing
    Xia, Jizhe
    Yang, Chaowei
    Li, Qingquan
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 72 : 191 - 203