eprintid: 3799
rev_number: 7
eprint_status: archive
userid: 420
dir: disk0/00/00/37/99
datestamp: 2020-01-04 05:40:54
lastmod: 2020-01-04 05:41:44
status_changed: 2020-01-04 05:40:54
type: conference_item
metadata_visibility: show
creators_name: Pham, Van Ha
creators_name: Ngo, Xuan Truong
creators_name: Laffly, Dominique
creators_name: Jourdan, Astrid
creators_name: Nguyen, Thi Nhat Thanh
creators_id: hapv@fimo.edu.vn
creators_id: thanhntn@vnu.edu.vn
title: Evaluation of Maximum Likelihood Estimation and regression methods for fusion of multiple satellite Aerosol Optical Depth data over Vietnam
ispublished: pub
subjects: IT
divisions: FIMO
divisions: fac_fit
abstract: This paper applied different data fusion methods including Maximum Likelihood Estimation (MLE) and Linear Regression methods on satellite images over Vietnam areas from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors. In comparison with ground station Aerosol Robotic Network (AERONET), the regression method is better than Maximum Likelihood Estimator (MLE). Our results show that the fusion methods can improve both data coverage and quality of satellite aerosol optical depth (AOD). Strong correlations were observed between fused AOD and AERONET AOD (R 2 = 0.8118, 0.7511 for Terra regression and MLE method, respectively). This paper presented the evaluation of data fusion algorithm and highlighted its importance on the satellite AOD data coverage and quality methods from multiple sensors.
date: 2019
date_type: published
official_url: http://dx.doi.org/10.1109/KSE.2019.8919417
id_number: 10.1109/KSE.2019.8919417
full_text_status: none
pres_type: paper
pagerange: 1-6
event_title: 2019 11th International Conference on Knowledge and Systems Engineering (KSE)
event_type: conference
refereed: TRUE
book_title: 2019 11th International Conference on Knowledge and Systems Engineering (KSE)
citation:   Pham, Van Ha and Ngo, Xuan Truong and Laffly, Dominique and Jourdan, Astrid and Nguyen, Thi Nhat Thanh  (2019) Evaluation of Maximum Likelihood Estimation and regression methods for fusion of multiple satellite Aerosol Optical Depth data over Vietnam.  In: 2019 11th International Conference on Knowledge and Systems Engineering (KSE).