2016
DOI: 10.1007/s11430-016-5295-7
|View full text |Cite
|
Sign up to set email alerts
|

Remote sensing-based artificial surface cover classification in Asia and spatial pattern analysis

Abstract: Artificial surfaces, characterized with intensive land-use changes and complex landscape structures, are important indicators of human impacts on terrestrial ecosystems. Without high-resolution land-cover data at continental scale, it is hard to evaluate the impacts of urbanization on regional climate, ecosystem processes and global environment. This study constructed a hierarchical classification system for artificial surfaces, promoted a remote sensing method to retrieve subpixel components of artificial sur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
15
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 34 publications
(15 citation statements)
references
References 42 publications
0
15
0
Order By: Relevance
“…EconomicScore j (10) where EVI i is the economic vulnerability of subdistrict i and EconomicScore j is the economic vulnerability score of j pixel in subdistrict i. We assume that undeveloped land (forest, grass, and pasture) and cropland have relatively low vulnerability to flooding (score 1-3), whereas land with low-density (20%-50%) ISA, medium-density (50%-80%) ISA, and high-density (>80%) ISA have higher vulnerabilities (score 5-8) (Table A1).…”
Section: Evaluating the Demand For Urban Flood Regulation Ecosystem Smentioning
confidence: 99%
See 1 more Smart Citation
“…EconomicScore j (10) where EVI i is the economic vulnerability of subdistrict i and EconomicScore j is the economic vulnerability score of j pixel in subdistrict i. We assume that undeveloped land (forest, grass, and pasture) and cropland have relatively low vulnerability to flooding (score 1-3), whereas land with low-density (20%-50%) ISA, medium-density (50%-80%) ISA, and high-density (>80%) ISA have higher vulnerabilities (score 5-8) (Table A1).…”
Section: Evaluating the Demand For Urban Flood Regulation Ecosystem Smentioning
confidence: 99%
“…Urban flooding has become one of the most severe natural hazards around the world, especially in coastal cities due to the increase of extreme precipitation events and the rise of sea level [3][4][5], and more than 600 cities worldwide face serious flood risks [6]. Specifically, the land surface in cities is continuously modified with impervious surfaces that do not allow water to permeate, and result in excessive flooding [7][8][9][10]. The flood regulation capability of river systems is also degraded in the urbanization process [11].…”
Section: Introductionmentioning
confidence: 99%
“…Urban land is generally defined as all nonvegitative areas dominated by manmade surfaces (e.g., roads and buildings), including residential, commercial, industrial and transportation lands [27]. On the basis of the definition and most research practices [28][29][30], urban land is similar to an impermeable surface or a built environment. In this study, impervious surface area, lake area and lake fragmentation were used to measure the extent of urban expansion and lake change.…”
Section: Administrative Region Lakesmentioning
confidence: 99%
“…Currently, various built-up area definitions exist in the literature. From the land-cover perspective, the popular definition refers to built-up area as artificial impervious surfaces such as buildings, squares, pavements, and bricks [42,43], while this definition results in the built-up area discontinuity due to the lack of non-artificial land-covers. In the study, the built-up areas should contain artificial impervious surfaces and non-artificial land types (i.e., water bodies, bare soil, and vegetation) within the artificially digitized boundaries from 2 m Google images.…”
Section: Built-up Area Extractionmentioning
confidence: 99%