Estimation model of net primary production by vegetation for ADEOS-II/GLI data

Shinobu Furumi; Akiko Ono; Kanako Muramatsu; Noboru Fujiwara

doi:10.1117/12.417009

8 February 2001 Estimation model of net primary production by vegetation for ADEOS-II/GLI data

Shinobu Furumi, Akiko Ono, Kanako Muramatsu, Noboru Fujiwara

Proceedings Volume 4151, Hyperspectral Remote Sensing of the Land and Atmosphere; (2001) https://doi.org/10.1117/12.417009
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan

Abstract

Many researchers have developed models for estimation of net primary production using satellite data. Especially, NDVI are mainly used for the model because NDVI can be obtained from NOAA/AVHRR data for global are. However, recent sensors have hyper-multispectral data and these data is expected to be effective for the monitoring of detail vegetation condition. So we developed the estimation model using a new vegetation index RVIPD that reflects all information of hyper-multispectral data and validated the model using Landsat/TM data.

Citation Download Citation

Shinobu Furumi, Akiko Ono, Kanako Muramatsu, and Noboru Fujiwara "Estimation model of net primary production by vegetation for ADEOS-II/GLI data", Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); https://doi.org/10.1117/12.417009

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KEYWORDS

Vegetation

Data modeling

Quantum efficiency

Earth observing sensors

Landsat

Reflectivity

Photosynthesis

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