2011•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Extraction of vegetation fraction based on the dimidiate pixel model and vegetation index transform plan

Ya-qin Cui, Youqing Luo, Lei Wang

Open publisher page 7 citations

Abstract

In order to derive high accuracy vegetation fraction, the article combines QuickBird image data and TM image data, based on normalized difference vegetation index (NDVI) of dimidiate pixel model and vegetation index transform plan, then derive vegetation fraction of desertification area, take an example of half-shrub Artemisia ordosica Krasch. Lingwu in Ningxia. By field surveys, the result of estimation of vegetation fraction is proved to be valid, the correlation coefficient between field survey data and extracted values from the vegetation coverage imagery was 0. 881, especially in fixed sandy land. The results show that using this improved model to estimate vegetation fraction is feasible. The model can be used to many scales remote sensing data, and Northwest Territories in China.

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What this paper is about

In order to derive high accuracy vegetation fraction, the article combines QuickBird image data and TM image data, based on normalized difference vegetation index (NDVI) of dimidiate pixel model and vegetation index transform plan, then derive vegetation fraction of desertification area, take an example of half-shrub Artemisia ordosica Krasch. Lingwu in Ningxia. By field surveys, the result of estimation of vegetation fraction is proved to be valid, the correlation coefficient between field survey data and extracted values from the vegetation coverage imagery was 0. 881, especially in fixed sandy land. The results show that using this improved model to estimate vegetation fraction is feasible. The model can be used to many scales remote sensing data, and Northwest Territories in China.

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Available abstract

In order to derive high accuracy vegetation fraction, the article combines QuickBird image data and TM image data, based on normalized difference vegetation index (NDVI) of dimidiate pixel model and vegetation index transform plan, then derive vegetation fraction of desertification area, take an example of half-shrub Artemisia ordosica Krasch. Lingwu in Ningxia. By field surveys, the result of estimation of vegetation fraction is proved to be valid, the correlation coefficient between field survey data and extracted values from the vegetation coverage imagery was 0. 881, especially in fixed sandy land. The results show that using this improved model to estimate vegetation fraction is feasible. The model can be used to many scales remote sensing data, and Northwest Territories in China.

Key concepts: Normalized Difference Vegetation Index, Vegetation (pathology), Enhanced vegetation index, Remote sensing, Shrub, Pixel, Environmental science, Desertification

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