2010Unpublished venueRequires access

THE EFFECT OF LAI BASED MODIS VEGETATION INDEX IN DIFFERENT SCALE TO ESTIMATE GROSS PRIMARY PRODUCTIVITY

Supannika Potithep, Rikie Suzuki

Open publisher page 0 citations

Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) is the primary NASA Earth Observing System instrument monitoring the seasonality of global terrestrial vegetation. MODIS products, such as the MODIS Vegetation Index (VI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), are commonly used in ecological modeling. The difference spatial resolutions (250, 500, 1000 and 5600 m) may cause the error in the output. In this study, the 3-PGS (Physiological Principles Predicting Growth using Satellite data) model was used to examined the errors of gross primary productivity (GPP) based difference spatial resolutions. First, in situ Leaf Area Index (LAI) was compared with NDVI and EVI from Hemispherical Spectroradiometer (HSSR) to find the relationship. Then, these relationships were applied to the model for estimating GPP as the final output. From the results, GPP based on MODIS NDVI at spatial resolution 250 m was performed the less error around 9.12%, whereas GPP based MODIS on EVI at spatial resolution 1000 m was performed the less error around 5.76%. GPP based on MODIS NDVI and EVI at spatial resolution 5600 m were showed the biggest error with 18.47% and 13.02%, respectively. However, the global spatial resolution can be accepted for applying to the model, based on one point, with the error around 20%.

About this research paper

What this paper is about

The Moderate Resolution Imaging Spectroradiometer (MODIS) is the primary NASA Earth Observing System instrument monitoring the seasonality of global terrestrial vegetation. MODIS products, such as the MODIS Vegetation Index (VI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), are commonly used in ecological modeling. The difference spatial resolutions (250, 500, 1000 and 5600 m) may cause the error in the output. In this study, the 3-PGS (Physiological Principles Predicting Growth using Satellite data) model was used to examined the errors of gross primary productivity (GPP) based difference spatial resolutions. First, in situ Leaf Area Index (LAI) was compared with NDVI and EVI from Hemispherical Spectroradiometer (HSSR) to find the relationship. Then, these relationships were applied to the model for estimating GPP as the final output. From the results, GPP based on MODIS NDVI at spatial resolution 250 m was performed the less error around 9.12%, whereas GPP based MODIS on EVI at spatial resolution 1000 m was performed the less error around 5.76%. GPP based on MODIS NDVI and EVI at spatial resolution 5600 m were showed the biggest error with 18.47% and 13.02%, respectively. However, the global spatial resolution can be accepted for applying to the model, based on one point, with the error around 20%.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) is the primary NASA Earth Observing System instrument monitoring the seasonality of global terrestrial vegetation. MODIS products, such as the MODIS Vegetation Index (VI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), are commonly used in ecological modeling. The difference spatial resolutions (250, 500, 1000 and 5600 m) may cause the error in the output. In this study, the 3-PGS (Physiological Principles Predicting Growth using Satellite data) model was used to examined the errors of gross primary productivity (GPP) based difference spatial resolutions. First, in situ Leaf Area Index (LAI) was compared with NDVI and EVI from Hemispherical Spectroradiometer (HSSR) to find the relationship. Then, these relationships were applied to the model for estimating GPP as the final output. From the results, GPP based on MODIS NDVI at spatial resolution 250 m was performed the less error around 9.12%, whereas GPP based MODIS on EVI at spatial resolution 1000 m was performed the less error around 5.76%. GPP based on MODIS NDVI and EVI at spatial resolution 5600 m were showed the biggest error with 18.47% and 13.02%, respectively. However, the global spatial resolution can be accepted for applying to the model, based on one point, with the error around 20%.

Key concepts: Moderate-resolution imaging spectroradiometer, Normalized Difference Vegetation Index, Enhanced vegetation index, Environmental science, Primary production, Remote sensing, Vegetation (pathology), Spectroradiometer

Related papers

Back to paper searchBrowse research topicsOriginal source
THE EFFECT OF LAI BASED MODIS VEGETATION INDEX IN DIFFERENT SCALE TO ESTIMATE GROSS PRIMARY PRODUCTIVITY — Research Paper | ScholarLens