Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.creator | Cheng, Xi | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/6230 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Surface bidirectional reflectance and albedo properties derived with MODIS and AERONET observations and global albedo mapping | en_US |
| dcterms.abstract | Deriving accurate surface albedo properties and products is of great significance in applications of remote sensing on both land surface and atmosphere. Surface bidirectional distribution function (BRDF) and global albedo maps are derived using MODIS and global AERONET combination observations. Instead of traditional pixel-based approach, an object-oriented approach is employed using clear-sky reflectance data for same land-cover with normalized difference vegetation index (NDVI) also taken into account. The BRDF parameters was modeled via the inversion fitting of observations grouped into small bins according to observation parameters including SZA (solar zenith angle), VZA (viewing zenith angle) and RAA (relative azimuth angle). Observations were further grouped according to NDVI to discriminate different bio-physical status of vegetation. A robust statistical processing was used to every group to reduce outliers and influence of noise. Inter-comparison was carried out between modeled BRDF parameters and albedo and available albedo products. A good agreement was generally reached globally using land cover-based approach between model-calculated albedo and observed albedo. Finally, a global albedo map was produced using the approach put forward based on global land cover base map. | en_US |
| dcterms.extent | vii, 76 leaves : ill. (some col.) ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2011 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Earth sciences -- Remote sensing. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b24578745.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.37 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/6230