EXTRACTING WHEAT BIOMASS USING SATELLITE DATA AND GEOGRAPHICALLY WEIGHTED REGRESSION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ASHOURLOO D.; MATKAN A.; MIRBAGHERI B.; SHAHRI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Applied Agricultural Research Year:2014 | Volume:- | Issue:104 Page(s): 121-128

Download Full-Text

Persian Verion

View:

699

Download:

Cites:

Information Journal Paper

Title

EXTRACTING WHEAT BIOMASS USING SATELLITE DATA AND GEOGRAPHICALLY WEIGHTED REGRESSION

Author(s)

ASHOURLOO D. | MATKAN A. | MIRBAGHERI B. | SHAHRI M. | Issue Writer Certificate

Keywords

BIOMASSQ3

WHEATQ3

SATELLITE IMAGESQ3

GEOGRAPHICALLY WEIGHTED REGRESSIONQ2

Abstract

Agriculture is regarded as one of the most fundamental economical basis in our country, hence estimating the amount of crops is highly regarded. In this study, estimating the amount of WHEAT stubble and its energy have been assessed using SATELLITE IMAGES. SPOT images were employed to estimate the WHEAT farms in Hamedan and Bahar area (Hamedan province) during the harvesting time and peak of greenness. The WHEAT farms were then extracted based on the WHEAT index derived from green and red bands after pre-processing. Four different vegetation indices, the Normalized Difference Vegetation Index (NDVI), the Simple Ratio (SR), the Perpendicular Vegetation Index (PVI) and the Soil Adjust Vegetation Index (SAVI) were evaluated after images pre-processing. The procedure followed by sampling. WHEAT farms were extracted using similar bands.OLS and GWR were employed to estimate the BIOMASS based on NDVI index and the results indicated an improvement of GWR over OLS based on AIC and criteria. The results of AICc for SAVI in fixed and adaptive kernel bandwidth were estimated 614.7 and 615.7 respectively and for NDVI equal to 615.1 and 615.6.The results also indicated the value for both SAVI and NDVI in fixed and adaptive kernel bandwidth equal to 0.71 and 0.70 respectively. The results also revealed the significant non-stationary state in relationships.

Cites

No record.

References

No record.

Cite

APA: Copy

ASHOURLOO, D., MATKAN, A., MIRBAGHERI, B., & SHAHRI, M.. (2014). EXTRACTING WHEAT BIOMASS USING SATELLITE DATA AND GEOGRAPHICALLY WEIGHTED REGRESSION. APPLIED FIELD CROPS RESEARCH (PAJOUHESH & SAZANDEGI), -(104), 121-128. SID. https://sid.ir/paper/214821/en

Vancouver: Copy

ASHOURLOO D., MATKAN A., MIRBAGHERI B., SHAHRI M.. EXTRACTING WHEAT BIOMASS USING SATELLITE DATA AND GEOGRAPHICALLY WEIGHTED REGRESSION. APPLIED FIELD CROPS RESEARCH (PAJOUHESH & SAZANDEGI)[Internet]. 2014;-(104):121-128. Available from: https://sid.ir/paper/214821/en

IEEE: Copy

D. ASHOURLOO, A. MATKAN, B. MIRBAGHERI, and M. SHAHRI, “EXTRACTING WHEAT BIOMASS USING SATELLITE DATA AND GEOGRAPHICALLY WEIGHTED REGRESSION,” APPLIED FIELD CROPS RESEARCH (PAJOUHESH & SAZANDEGI), vol. -, no. 104, pp. 121–128, 2014, [Online]. Available: https://sid.ir/paper/214821/en

Related Journal Papers