干旱区生态环境知识资源中心(Arid): Advancing Cave Detection Using Terrain Analysis and Thermal Imagery

Arid

DOI	10.3390/rs13183578
	Advancing Cave Detection Using Terrain Analysis and Thermal Imagery
	Wynne, J. Judson; Jenness, Jeff; Sonderegger, Derek L.; Titus, Timothy N.; Jhabvala, Murzy D.; Cabrol, Nathalie A.
通讯作者	Wynne, JJ (corresponding author), No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA. ; Wynne, JJ (corresponding author), No Arizona Univ, Ctr Adaptable Western Landscapes, Flagstaff, AZ 86011 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:18
英文摘要	Since the initial experiments nearly 50 years ago, techniques for detecting caves using airborne and spacecraft acquired thermal imagery have improved markedly. These advances are largely due to a combination of higher instrument sensitivity, modern computing systems, and processor-intensive analytical techniques. Through applying these advancements, our goals were to: (1) Determine the efficacy of methods designed for terrain analysis and applied to thermal imagery; (2) evaluate the usefulness of predawn and midday imagery for detecting caves; and (3) ascertain which imagery type (predawn, midday, or the difference between those two times) was most informative. Using forward stepwise logistic (FSL) and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses for model selection, and a thermal imagery dataset acquired from the Mojave Desert, California, we examined the efficacy of three well-known terrain descriptors (i.e., slope, topographic position index (TPI), and curvature) on thermal imagery for cave detection. We also included the actual, untransformed thermal DN values (hereafter unenhanced thermal) as a fourth dataset. Thereafter, we compared the thermal signatures of known cave entrances to all non-cave surface locations. We determined these terrain-based analytical methods, which described the shape of the thermal landscape, hold significant promise for cave detection. All imagery types produced similar results. Down-selected covariates per imagery type, based upon the FSL models, were: Predawn- slope, TPI, curvature at 0 m from cave entrance, as well as slope at 1 m from cave entrance; midday- slope, TPI, and unenhanced thermal at 0 m from cave entrance; and difference- TPI and slope at 0 m from cave entrance, as well as unenhanced thermal and TPI at 3.5 m from cave entrance. We provide recommendations for future research directions in terrestrial and planetary cave detection using thermal imagery.
英文关键词	QWIP thermal instrument LASSO regression analysis planetary caves terrestrial caves
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000702028600001
WOS关键词	NUI EASTER-ISLAND ; REFLECTANCE ; COLLEMBOLA ; DIPLOPODA ; ARIZONA ; PLUMES ; FAUNA
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
来源机构	United States Geological Survey
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364486
作者单位	[Wynne, J. Judson] No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA; [Wynne, J. Judson] No Arizona Univ, Ctr Adaptable Western Landscapes, Flagstaff, AZ 86011 USA; [Jenness, Jeff] Jenness Enterprises, GIS Anal & Applicat Design, Flagstaff, AZ 86004 USA; [Jenness, Jeff] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA; [Sonderegger, Derek L.] No Arizona Univ, Dept Math & Stat, Flagstaff, AZ 86011 USA; [Titus, Timothy N.] US Geol Survey, Astrogeol Sci Ctr, Flagstaff, AZ 86001 USA; [Jhabvala, Murzy D.] NASA, Goddard Space Flight Ctr, Instrument Syst & Technol Div, Greenbelt, MD 20771 USA; [Cabrol, Nathalie A.] SETI Inst, Carl Sagan Ctr, Mountain View, CA 94043 USA
推荐引用方式 GB/T 7714	Wynne, J. Judson,Jenness, Jeff,Sonderegger, Derek L.,et al. Advancing Cave Detection Using Terrain Analysis and Thermal Imagery[J]. United States Geological Survey,2021,13(18).
APA	Wynne, J. Judson,Jenness, Jeff,Sonderegger, Derek L.,Titus, Timothy N.,Jhabvala, Murzy D.,&Cabrol, Nathalie A..(2021).Advancing Cave Detection Using Terrain Analysis and Thermal Imagery.REMOTE SENSING,13(18).
MLA	Wynne, J. Judson,et al."Advancing Cave Detection Using Terrain Analysis and Thermal Imagery".REMOTE SENSING 13.18(2021).