干旱区生态环境知识资源中心(Arid): An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale

Arid

DOI	10.3390/rs15010053
	An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale
	Conesa, Francesc C.; Orengo, Hector A.; Lobo, Agustin; Petrie, Cameron A.
通讯作者	Conesa, FC ; Orengo, HA
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:1
英文摘要	This article presents AgriExp, a remote-based workflow for the rapid mapping and monitoring of archaeological and cultural heritage locations endangered by new agricultural expansion and encroachment. Our approach is powered by the cloud-computing data cataloguing and processing capabilities of Google Earth Engine and it uses all the available scenes from the Sentinel-2 image collection to map index-based multi-aggregate yearly vegetation changes. A user-defined index threshold maps the first per-pixel occurrence of an abrupt vegetation change and returns an updated and classified multi-temporal image aggregate in almost-real-time. The algorithm requires an input vector table such as data gazetteers or heritage inventories, and it performs buffer zonal statistics for each site to return a series of spatial indicators of potential site disturbance. It also returns time series charts for the evaluation and validation of the local to regional vegetation trends and the seasonal phenology. Additionally, we used multi-temporal MODIS, Sentinel-2 and high-resolution Planet imagery for further photo-interpretation of critically endangered sites. AgriExp was first tested in the arid region of the Cholistan Desert in eastern Pakistan. Here, hundreds of archaeological mound surfaces are threatened by the accelerated transformation of barren lands into new irrigated agricultural lands. We have provided the algorithm code with the article to ensure that AgriExp can be exported and implemented with little computational cost by academics and heritage practitioners alike to monitor critically endangered archaeological and cultural landscapes elsewhere.
英文关键词	endangered cultural heritage agricultural expansion Big Earth Data Google Earth Engine Copernicus Sentinel-2 Planetscope
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000910410600001
WOS关键词	ARCHAEOLOGICAL SITES ; SATELLITE IMAGERY ; MIDDLE-EAST ; LAND-USE ; MANAGEMENT ; EARTH ; CLASSIFICATION ; WORLD ; SAR
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/2XILL650/398226
推荐引用方式 GB/T 7714	Conesa, Francesc C.,Orengo, Hector A.,Lobo, Agustin,et al. An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale[J],2023,15(1).
APA	Conesa, Francesc C.,Orengo, Hector A.,Lobo, Agustin,&Petrie, Cameron A..(2023).An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale.REMOTE SENSING,15(1).
MLA	Conesa, Francesc C.,et al."An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale".REMOTE SENSING 15.1(2023).