气候变化领域集成服务门户(CCPortal): Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models

CCPortal

DOI	10.5194/tc-13-237-2019
	Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models
	Abolt C.J.; Young M.H.; Atchley A.L.; Wilson C.J.
发表日期	2019
ISSN	19940416
EISSN	13
起始页码	237
结束页码	245
卷号	13 期号:1
英文摘要	We present a workflow for the rapid delineation and microtopographic characterization of ice wedge polygons within high-resolution digital elevation models. At the core of the workflow is a convolutional neural network used to detect pixels representing polygon boundaries. A watershed transformation is subsequently used to segment imagery into discrete polygons. Fast training times (<5) permit an iterative approach to improving skill as the routine is applied across broad landscapes. Results from study sites near Utqiavik (formerly Barrow) and Prudhoe Bay, Alaska, demonstrate robust performance in diverse tundra settings, with manual validations demonstrating 70-96% accuracy by area at the kilometer scale. The methodology permits precise, spatially extensive measurements of polygonal microtopography and trough network geometry. © Author(s) 2019.
学科领域	accuracy assessment; artificial neural network; digital elevation model; machine learning; measurement method; methodology; microtopography; model validation; pixel; polygon; tundra; watershed; Alaska; Barrow; Prudhoe Bay; United States
语种	英语
scopus关键词	accuracy assessment; artificial neural network; digital elevation model; machine learning; measurement method; methodology; microtopography; model validation; pixel; polygon; tundra; watershed; Alaska; Barrow; Prudhoe Bay; United States
来源期刊	The Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118943
作者单位	Department of Geological Sciences, University of Texas at Austin, Austin, TX, United States; Bureau of Economic Geology, University of Texas at Austin, Austin, TX, United States; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States
推荐引用方式 GB/T 7714	Abolt C.J.,Young M.H.,Atchley A.L.,et al. Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models[J],2019,13(1).
APA	Abolt C.J.,Young M.H.,Atchley A.L.,&Wilson C.J..(2019).Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models.The Cryosphere,13(1).
MLA	Abolt C.J.,et al."Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models".The Cryosphere 13.1(2019).