2014
DOI: 10.1109/tgrs.2013.2241443
|View full text |Cite
|
Sign up to set email alerts
|

LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis

Abstract: Statistical measures of patterns (textures) in surface roughness are used to quantitatively differentiate volcanic deposit facies on the Pumice Plain, on the northern flank of Mount St. Helens (MSH). Surface roughness values are derived from a Light Detection and Ranging (LiDAR) point cloud collected in 2004 from a fixed-wing airborne platform. Patterns in surface roughness are characterized using co-occurrence texture statistics. Pristine-pyroclastic, reworked-pyroclastic, mudflow, boulder beds, eroded lava f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
17
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
6
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 34 publications
(17 citation statements)
references
References 36 publications
(51 reference statements)
0
17
0
Order By: Relevance
“…LiDAR data are also increasingly being used for mapping volcanoes and their eruptive products (e.g., Cashman et al, ) by characterizing the intensity of laser returns from lava flows (Mazzarini et al, ) or deriving highly accurate digital terrain models (DTMs) of active flows (Favalli et al, ) and deposits (e.g., Csatho et al, ; Scott et al, ). LiDAR observations have also been used to map surface roughness and differentiate lava flow terrains (Morris et al, ; Whelley et al, ; Whelley, Garry, et al, ; Whelley, Scheidt, et al, ). Terrestrial Laser Scanning (TLS) is a type of LiDAR scanning, used at each RIS 4 E EVA location that uses a tripod‐mounted instrument (Figure ).…”
Section: Field Portable Instrumentationmentioning
confidence: 99%
“…LiDAR data are also increasingly being used for mapping volcanoes and their eruptive products (e.g., Cashman et al, ) by characterizing the intensity of laser returns from lava flows (Mazzarini et al, ) or deriving highly accurate digital terrain models (DTMs) of active flows (Favalli et al, ) and deposits (e.g., Csatho et al, ; Scott et al, ). LiDAR observations have also been used to map surface roughness and differentiate lava flow terrains (Morris et al, ; Whelley et al, ; Whelley, Garry, et al, ; Whelley, Scheidt, et al, ). Terrestrial Laser Scanning (TLS) is a type of LiDAR scanning, used at each RIS 4 E EVA location that uses a tripod‐mounted instrument (Figure ).…”
Section: Field Portable Instrumentationmentioning
confidence: 99%
“…A lower value means low separability and higher value shows higher spectral separability between ecotope pair. A higher value of JM distance is desirable for better identification of classes (Whelley et al, 2014).…”
Section: Similarity Between the Signatures Of The Classesmentioning
confidence: 99%
“…There are many state of the art segmentation and classification algorithms available. It is necessary to make full use of the advantages of different algorithms on the basis of multi-feature fusion, so as to achieve better segmentation effect (Yuheng and Hao, 2017). Hence, in this study a combination of segmentation algorithms is deployed.…”
Section: Introductionmentioning
confidence: 99%
“…They can be classified into first returns, reflected from the tree tops, intermediate returns, from the leaves or branches, and last returns, reflected from the ground. Aerial laser scanning has many uses: measuring agricultural productivity (Saeys et al 2009), distinguishing faint archaeological evidences (Bennett 2012), forestry practices (Hyyppä et al 2012), advancing the science of geomorphology (Sofia et al 2014), measuring volcano uplift (Whelley et al 2014), glacier decline and snowpack (Abermann et al 2010), and providing data for topographic mapping, to name just a few. Using the LiDAR point cloud data, one can extract specific features, such as dimensions of underground ancient structures or aboveground parameters of individual trees (Popescu et al 2003, Popescu 2007, Edson & Wing 2011, Dalponte et al 2014, and obtain ecosystem level information such as forests biomass or carbon sequestration capacity (Lefsky et al 2005, Popescu 2007, García et al 2010, Lee et al 2013.…”
Section: Introductionmentioning
confidence: 99%