Extraction and analysis of impervious surfaces based on a spectral un-mixing method using Pearl River Delta of China Landsat TM/ETM+ imagery from 1998 to 2008
Clicks: 310
ID: 118385
2012
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
30.0
/100
309 views
34 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Impervious surface area (ISA) is considered as an indicator of environment change and is regarded as an important input parameter for hydrological cycle simulation, water management and area pollution assessment. The Pearl River Delta (PRD), the 3rd most important economic district of China, is chos …
| Reference Key |
y2012sensorsextraction
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Deng Y;Fan F;Chen R;; |
| Journal | sensors |
| Year | 2012 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
China
pubmed abstract
nih
national institutes of health
national library of medicine
computer-assisted / methods*
algorithms*
image interpretation
rivers / chemistry*
pmid:22438741
pmc3304143
doi:10.3390/s120201846
yingbin deng
fenglei fan
renrong chen
geographic information systems*
remote sensing technology / methods*
spacecraft*
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.