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谷歌地球引擎作为一种多传感器开源工具,支持考古区域保护:以意大利梅塔蓬托洪水和火灾测绘为例。

Google Earth Engine as Multi-Sensor Open-Source Tool for Supporting the Preservation of Archaeological Areas: The Case Study of Flood and Fire Mapping in Metaponto, Italy.

机构信息

Institute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy.

DICEM (Dipartimento delle Culture Europee e del Mediterraneo), University of Basilicata, Via Nazario Sauro, 85100 Potenza, Italy.

出版信息

Sensors (Basel). 2021 Mar 4;21(5):1791. doi: 10.3390/s21051791.

DOI:10.3390/s21051791
PMID:33806568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7962055/
Abstract

In recent years, the impact of Climate change, anthropogenic and natural hazards (such as earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely affected modern and past human buildings including outstanding cultural properties and UNESCO heritage sites. Research about protection/monitoring of cultural heritage is crucial to preserve our cultural properties and (with them also) our history and identity. This paper is focused on the use of the open-source Google Earth Engine tool herein used to analyze flood and fire events which affected the area of Metaponto (southern Italy), near the homonymous Greek-Roman archaeological site. The use of the Google Earth Engine has allowed the supervised and unsupervised classification of areas affected by flooding (2013-2020) and fire (2017) in the past years, obtaining remarkable results and useful information for setting up strategies to mitigate damage and support the preservation of areas and landscape rich in cultural and natural heritage.

摘要

近年来,气候变化、人为和自然灾害(如地震、山体滑坡、洪水、海啸、火灾)的影响急剧增加,并对现代和过去的人类建筑产生了不利影响,包括杰出的文化财产和联合国教科文组织遗产地。关于保护/监测文化遗产的研究对于保护我们的文化财产(以及与之相关的历史和身份)至关重要。本文专注于使用开源的 Google Earth Engine 工具来分析影响意大利南部梅塔蓬托(Metaponto)地区(同名的希腊罗马考古遗址附近)的洪水和火灾事件。过去几年,Google Earth Engine 的使用允许对洪水(2013-2020 年)和火灾(2017 年)的受影响地区进行监督和非监督分类,获得了显著的结果和有用的信息,为制定减轻损害和支持保护富含文化和自然遗产的地区和景观的策略提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/f6df831aa17f/sensors-21-01791-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/0a7e0368f7d9/sensors-21-01791-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/7dd659b9250e/sensors-21-01791-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/c5cc234df137/sensors-21-01791-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/454b06b51310/sensors-21-01791-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/3def5df59aff/sensors-21-01791-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/78f02a132d85/sensors-21-01791-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/035aeb8ae327/sensors-21-01791-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/f6df831aa17f/sensors-21-01791-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/6823a3bee4f0/sensors-21-01791-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/e15742924ee3/sensors-21-01791-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/54e263603468/sensors-21-01791-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/f4214eb35cff/sensors-21-01791-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/48697d890d53/sensors-21-01791-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/0a7e0368f7d9/sensors-21-01791-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/7dd659b9250e/sensors-21-01791-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/c5cc234df137/sensors-21-01791-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/454b06b51310/sensors-21-01791-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/3def5df59aff/sensors-21-01791-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/78f02a132d85/sensors-21-01791-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/ea04f6754026/sensors-21-01791-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/035aeb8ae327/sensors-21-01791-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7293/7962055/f6df831aa17f/sensors-21-01791-g014.jpg

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本文引用的文献

1
Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data.利用多传感器和多时相卫星数据的机器学习分类自动检测考古土丘。
Proc Natl Acad Sci U S A. 2020 Aug 4;117(31):18240-18250. doi: 10.1073/pnas.2005583117. Epub 2020 Jul 20.
2
Leveraging Google Earth Engine for Drought Assessment using Global Soil Moisture Data.利用谷歌地球引擎结合全球土壤湿度数据进行干旱评估。
Remote Sens (Basel). 2018;10(8). doi: 10.3390/rs10081265. Epub 2018 Aug 11.