RETIRED Surface Reflectance NBAR+ 25 v. 2  

Digital Object Identifier

http://dx.doi.org/10.4225/25/5a7a501e1c5af

Keywords

• NCI

• Satellite imagery

• Landsat 5

• Landsat 7

• Landsat 8

• Earth Observations from Space

• rs0

• Surface Reflectance NBAR+

• Data

Australian and New Zealand Standard Research Classification: Fields of Research

• Earth Sciences

• Published_External

Publication Date

2014-07-01T00:00:00

Creation Date

Security Constraints

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

superseded

Purpose

Maintenance Information

asNeeded

Topic Category

geoscientificInformation

Series Information

Lineage

Landsat Archive GA has acquired Landsat imagery over Australia since 1979, including TM, ETM+ and OLI imagery. While this data has been used extensively for numerous land and coastal mapping studies, its utility for accurate monitoring of environmental resources has been limited by the processing methods that have been traditionally used to correct for inherent geometric and radiometric distortions in EO imagery. To improve access to Australia¿s archive of Landsat TM/ETM+/OLI data, several collaborative projects have been undertaken in conjunction with industry, government and academic partners. These projects have enabled implementation of a more integrated approach to image data correction that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). The approach has been applied to Landsat TM/ETM+ and OLI imagery to create the SR products. The advanced supercomputing facilities provided by the National Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing complexities involved with production of this product. Surface Reflectance Correction Models Image radiance values recorded by passive EO sensors are a composite of: ¿ surface reflectance; ¿ atmospheric condition; ¿ interaction between surface land cover, solar radiation and sensor view angle; and ¿ land surface orientation relative to the imaging sensor. It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI/ data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment. Integrated Time Series Data Once consistent and comparable measures of surface reflectance have been retrieved from EO data, it is possible to quantify changes in Earth surface features through time. Given the growing time series of EO imagery, this landmark facility will streamline the process of reliably monitoring long-term changes in land and water resources.

Parent Information

Extents

[-45.00, -10.00, 108.00, 155.00]

Reference System

GDA94 / Australian Albers (EPSG: 3577)

Spatial Resolution

Service Information

Associations

Downloads and Links

GA Landsat 5 TM Analysis Ready Data Collection 3  

Source Information

Please refer to the lineage section.