2015•Acta Agrestia SinicaRequires access

Aboveground Biomass Inversion of Grassland in Ili Area Using MODIS Data

Xi Zhou

Open publisher page 1 citations

Abstract

The basic data involved the observed data of aboveground biomass from July to August in 2012 in Ili as well as the MODIS data during this period,and the purpose of this study was to protect and utilize grassland resources reasonably.The correlation relationships among enhanced vegetation index(EVI),normalized difference vegetation index(NDVI) and observed data of aboveground biomass were analyzed by linear regression model,quadratic polynomial regression model and index regression model.The spatial distribution of aboveground biomass in the grassland of Ili was simulated and analyzed.The results showed that a significant correlation relationship existed between vegetation index and aboveground biomass,while the quadratic polynomial regression model based on EVI(y=14759~x2- 4758 x + 1346.2,R~2=0.8402)was the most suitable one,and estimation accuracy was 92.19%.The dry weight per unit area in the grassland of Ili was 1817 kg·hm~(-2),and the total yield was 70.59×10~8 kg in 2012.Along with the increasing elevation,aboveground biomass increased first and then decreased.

About this research paper

What this paper is about

The basic data involved the observed data of aboveground biomass from July to August in 2012 in Ili as well as the MODIS data during this period,and the purpose of this study was to protect and utilize grassland resources reasonably.The correlation relationships among enhanced vegetation index(EVI),normalized difference vegetation index(NDVI) and observed data of aboveground biomass were analyzed by linear regression model,quadratic polynomial regression model and index regression model.The spatial distribution of aboveground biomass in the grassland of Ili was simulated and analyzed.The results showed that a significant correlation relationship existed between vegetation index and aboveground biomass,while the quadratic polynomial regression model based on EVI(y=14759~x2- 4758 x + 1346.2,R~2=0.8402)was the most suitable one,and estimation accuracy was 92.19%.The dry weight per unit area in the grassland of Ili was 1817 kg·hm~(-2),and the total yield was 70.59×10~8 kg in 2012.Along with the increasing elevation,aboveground biomass increased first and then decreased.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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 basic data involved the observed data of aboveground biomass from July to August in 2012 in Ili as well as the MODIS data during this period,and the purpose of this study was to protect and utilize grassland resources reasonably.The correlation relationships among enhanced vegetation index(EVI),normalized difference vegetation index(NDVI) and observed data of aboveground biomass were analyzed by linear regression model,quadratic polynomial regression model and index regression model.The spatial distribution of aboveground biomass in the grassland of Ili was simulated and analyzed.The results showed that a significant correlation relationship existed between vegetation index and aboveground biomass,while the quadratic polynomial regression model based on EVI(y=14759~x2- 4758 x + 1346.2,R~2=0.8402)was the most suitable one,and estimation accuracy was 92.19%.The dry weight per unit area in the grassland of Ili was 1817 kg·hm~(-2),and the total yield was 70.59×10~8 kg in 2012.Along with the increasing elevation,aboveground biomass increased first and then decreased.

Key concepts: Enhanced vegetation index, Normalized Difference Vegetation Index, Grassland, Environmental science, Biomass (ecology), Regression analysis, Polynomial regression, Linear regression

Related papers

Back to paper searchBrowse research topicsOriginal source
Aboveground Biomass Inversion of Grassland in Ili Area Using MODIS Data — Research Paper | ScholarLens