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2004•Journal of China University of Mining and TechnologyRequires access

Study on ANDVI and Its Application for Airborne Remote Sensing

Yunhao Chen

Open publisher page 1 citations

Abstract

Considering the spectral difference between airborne remote sensing images, the characters of information extraction on afforestation and principles of vegetation index construction, a new adjustable vegetation index, airborne normalized difference vegetation index (ANDVI), was promoted in this paper. Further, a set of flowchart of afforestation information extraction was developed according to the characters of ANDVI. Still, the new approach was applied to estimate vegetation index in Shanghai city and a satisfactory result was obtained. The application shows that ANDVI is suitable to airborne remote sensing and it is effective to eliminate non-linear disturbance of reflection caused by some factors. ANDVI provides a reliable way to extract airborne remote sensing information and estimate ecological-environment parameters based on vegetation indices.

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What this paper is about

Considering the spectral difference between airborne remote sensing images, the characters of information extraction on afforestation and principles of vegetation index construction, a new adjustable vegetation index, airborne normalized difference vegetation index (ANDVI), was promoted in this paper. Further, a set of flowchart of afforestation information extraction was developed according to the characters of ANDVI. Still, the new approach was applied to estimate vegetation index in Shanghai city and a satisfactory result was obtained. The application shows that ANDVI is suitable to airborne remote sensing and it is effective to eliminate non-linear disturbance of reflection caused by some factors. ANDVI provides a reliable way to extract airborne remote sensing information and estimate ecological-environment parameters based on vegetation indices.

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Available abstract

Considering the spectral difference between airborne remote sensing images, the characters of information extraction on afforestation and principles of vegetation index construction, a new adjustable vegetation index, airborne normalized difference vegetation index (ANDVI), was promoted in this paper. Further, a set of flowchart of afforestation information extraction was developed according to the characters of ANDVI. Still, the new approach was applied to estimate vegetation index in Shanghai city and a satisfactory result was obtained. The application shows that ANDVI is suitable to airborne remote sensing and it is effective to eliminate non-linear disturbance of reflection caused by some factors. ANDVI provides a reliable way to extract airborne remote sensing information and estimate ecological-environment parameters based on vegetation indices.

Key concepts: Remote sensing, Vegetation Index, Vegetation (pathology), Afforestation, Flowchart, Environmental science, Index (typography), Normalized Difference Vegetation Index

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