The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
Applications and Challenges of Geospatial Technology 2018
DOI: 10.1007/978-3-319-99882-4_10
|View full text |Cite
|
Sign up to set email alerts
|

Inter-calibration and Urban Light Index of DMSP-OLS Night-Time Data for Evaluating the Urbanization Process in Australian Capital Territory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 37 publications
0
5
0
Order By: Relevance
“…Moreover, night-time lights can help to delineate urban sprawl and urban morphology (Elvidge et al, 2019). Indeed, we found a significantly negative relationship between VIIRS night-time lights and enhanced vegetation index (Figure S2).…”
Section: Urban Affinity Of Butterfliesmentioning
confidence: 76%
See 1 more Smart Citation
“…Moreover, night-time lights can help to delineate urban sprawl and urban morphology (Elvidge et al, 2019). Indeed, we found a significantly negative relationship between VIIRS night-time lights and enhanced vegetation index (Figure S2).…”
Section: Urban Affinity Of Butterfliesmentioning
confidence: 76%
“…housing density), remote sensing research has highlighted that night‐time lights can efficiently map urban areas (Pandey et al, 2013) and characterize change in urbanization levels (Stathakis et al, 2015; Zhang & Seto, 2013). Moreover, night‐time lights can help to delineate urban sprawl and urban morphology (Elvidge et al, 2019). Indeed, we found a significantly negative relationship between VIIRS night‐time lights and enhanced vegetation index (Figure S2).…”
Section: Methodsmentioning
confidence: 99%
“…human population density). Remote sensing research has highlighted that 1) night-time lights provides an efficient way to map urban areas in India (Pandey et al 2013), 2) night-time lights can characterize change in urbanization levels (Zhang and Seto 2013) and 3) night-time lights can delineate both urban sprawl, urban morphology and urban extension (Elvidge et al 2018). Yet, this remote sensing approach is likely currently limited to macro-ecological analyses given that it is best at mapping urbanization at global scales, and that the current resolution (15 arc-seconds) is larger than other remote sensing products.…”
Section: Species-specific Relative Urban Scoresmentioning
confidence: 99%
“…The 5 km buffer was chosen to encompass potential spatial biases in selected sampling locations of the eBird checklists and the results of species-specific responses to urbanization is robust to buffer size (Callaghan et al 2019b). Nighttime light level is highly correlated with the level of urbanization and is commonly used in remote sensing studies (Pandey et al 2013, Zhang and Seto 2013, Ma et al 2015, Stathakis et al 2015, Elvidge et al 2019, thus making it a representative proxy for urbanization levels. Three example cities representing night-time light values and the max, mean, and median night-time light values for those cities are shown in Figure 1b.…”
Section: Checklist-specific Attributesmentioning
confidence: 99%