A Fixed-Threshold Approach to Generate High-Resolution Vegetation Maps for IKONOS Imagery

Vegetation distribution maps from remote sensors play an important role in urban planning, environmental protecting and related policy making. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. However, NDVI is usual...

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Published inSensors (Basel, Switzerland) Vol. 8; no. 7; pp. 4308 - 4317
Main Authors Cheng, Wen-Chun, Chang, Jyh-Chian, Chang, Chien-Ping, Su, Yu, Tu, Te-Ming
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 25.07.2008
Molecular Diversity Preservation International (MDPI)
Subjects
Agricultural production
IKONOS
image fusion
NDVI
Remote sensing systems
Sensors
Tasseled Cap transformation
Vegetation
Taiwan
IKONOS
Tasseled Cap transformation
image fusion
NDVI
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Summary:Vegetation distribution maps from remote sensors play an important role in urban planning, environmental protecting and related policy making. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. However, NDVI is usually used to generate lower resolution vegetation maps, and particularly the threshold needs to be chosen manually for extracting required vegetation information. To tackle this threshold selection problem for IKONOS imagery, a fixed-threshold approach is developed in this work, which integrates with an extended Tasseled Cap transformation and a designed image fusion method to generate high-resolution (1-meter) vegetation maps. Our experimental results are promising and show it can generate more accurate and useful vegetation maps for IKONOS imagery.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s8074308