Remote sensing heritage in a petabyte-scale:satellite data and heritage Earth Engine©applications  

作　　者：Athos Agapiou 

机构地区：[1]Remote Sensing and Geo-Environment Laboratory,Eratosthenes Research Centre,Department of Civil Engineering and Geomatics,Cyprus University of Technology,Limassol,Cyprus

出　　处：《International Journal of Digital Earth》2017年第1期85-102,共18页国际数字地球学报（英文）

基　　金：the“ATHENA”project H2020-TWINN2015 of European Commission;the European Union’s Horizon 2020 research and innovation programme under[grant agreement number 691936].

摘　　要：This paper aims to demonstrate results and considerations regarding the use of remote sensing big data for archaeological and Cultural Heritage management large scale applications.For this purpose,the Earth Engine©developed by Google©was exploited.Earth Engine©provides a robust and expandable cloud platform where several freely distributed remote sensing big data,such as Landsat,can be accessed,analysed and visualized.Two different applications are presented here as follows:the first one is based on the evaluation of multi-temporal Landsat series datasets for the detection of buried Neolithic tells(‘magoules’)in the area of Thessaly,in Greece using linear orthogonal equations.The second case exploits European scale multi-temporal DMSP-OLS Nighttime Lights Time Series to visualize the impact of urban sprawl in the vicinity of UNESCO World Heritage sites and monuments.Both applications highlight the considerable opportunities that big data can offer to the fields of archaeology and Cultural Heritage,while the studies also demonstrate the great challenges that still are needed to be overcome in order to make the exploitation of big data process manageable and fruitful for future applications.

关 键 词：Big data remote sensing ARCHAEOLOGY cultural heritage Earth Engine orthogonal equations urban sprawl 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]