Skip to main navigation
Skip to search
Skip to main content
Arizona State University Home
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Equipment
Grants
Datasets
Prizes
Search by expertise, name or affiliation
Urban textural analysis from remote sensor data: Lacunarity measurements based on the differential box counting method
Soe Myint
, Victor Mesev, Nina Lam
CLAS-SS: Geographical Sciences and Urban Planning, School of (SGSUP)
CLAS-SS: Social Science Research, Institute for (ISSR)
Research output
:
Contribution to journal
›
Article
›
peer-review
43
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Urban textural analysis from remote sensor data: Lacunarity measurements based on the differential box counting method'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth & Environmental Sciences
sensor
90%
texture
39%
analysis
35%
gliding
34%
satellite sensor
30%
method
28%
land cover
21%
spatial distribution
18%
land use
17%
geometry
17%
remote sensing
16%
methodology
15%
Social Sciences
non-linear model
100%
land use
65%
mathematics
44%
interpretation
40%
methodology
33%