Seasonal surface reflectance - Landsat, JRSRP algorithm, Australia Coverage

The dataset consists of composited seasonal surface reflectance images (4 seasons per year) created from the full time series of Landsat TM/ETM+/OLI imagery. The imagery has been composited over a season to produce imagery which is representative of that period, using techniques which will reduce contamination by cloud and other problems. This creates a regular time series of reflectance values which captures the variability at seasonal time scales. The benefits are a regular time series with minimal missing data or contamination from various sources of noise as well as data reduction. Each season has exactly one value (per band) for each pixel (or is null, i.e., missing), and the value for that season is assumed to be the representative of the whole season. The algorithm is based on the medoid (in reflectance space) over the time period (the medoid is a multi-dimensional analogue of the median), which is robust against extreme values.
 
Citation proposal
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Simple

Date ( Creation )
2014-06-20T00:00:00
Date ( Publication )
2014-06-20T00:00:00
Date ( Revision )
2021-03-18T00:00:00
Edition
1.0.0 

  Publisher

  Author

  Rights holder

Purpose
This product captures surface reflectance at seasonal (ie three-monthly) time scales, forming a consistent time series from 1987 - present. For applications that focus on vegetation changes, the fractional cover and ground cover products may be more suitable. 
Credit
This dataset was produced by the Joint Remote Sensing Research Program using data sourced from US Geological Survey. 
Status
On going  

  Point of contact

Topic category
  • Environment
  • Imagery base maps earth cover
Description
Australia 
N
S
E
W


Time period
1987-12-01 
Maintenance and update frequency
Quarterly  
  • at-surface reflectance ,
  • Unitless ,
  • TM ,
  • ,
  • LANDSAT-5
  • ETM+ ,
  • ,
  • LANDSAT-7
  • OLI ,
  • ,
  • LANDSAT-8
GCMD Earth Science and Earth Science Services Keywords
  • VEGETATION COVER
Temporal Resolution
  • Weekly - < Monthly
ANZSRC Fields of Research
  • ENVIRONMENTAL SCIENCE AND MANAGEMENT ,
  • ECOLOGICAL APPLICATIONS
Title
Creative Commons Attribution 4.0 International Licence 
Alternate title
CC-BY 
Edition
4.0 
Website

Access constraints
License  
Use constraints
Other restrictions  
Other constraints
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Other constraints
It is not recommended that these data sets be used at scales more detailed than 1:100,000. 
Title
Australian Government Security Classification System 
Edition date
2018-11-01T00:00:00  
Website

Classification
Unclassified  
Handling description
OFFICIAL (Australian Government Security Classification System) 
Language
English  
Character encoding
UTF8  
Supplemental Information
The standard form of the file naming convention is: <satellite category code> <instrument code> <product code> _<where> _<when> _<processing stage code> _<additional dataset specific tags> For this dataset are (comma-separated): Data Naming Element, Possible Code(s), Descriptor Standard Elements satellite category, lz, Landsat - all possible, l8, Landsat 8, instrument, tm, thematic, ol, operational land imager product, re, reflective where, qld,nsw,vic,tas,sa,nt,wa, state when , myyyymmyyyymm , season start date (1st day of month) and season end date (last day of month)  processing stage, dbi, seasonal surface reflectance, data projection, a2, Australian Albers Equal Area 
Distribution format
  • tif

OnLine resource

Seasonal Surface Reflectance by HTTP

OnLine resource
Flood, N., Danaher, T., Gill, T. and Gillingham, S. (2013) An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sens. 2013, 5(1), 83-109

OnLine resource
Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500

OnLine resource
Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118 (2012) 83-94.

OnLine resource
seasonal_surface_reflectance_landsat_filenaming_convention.txt

Information

Hierarchy level
Dataset  
Standalone quality report details
The input imagery was processed to level L1T by the USGS. Geodetic accuracy of the product depends on the image quality and the accuracy, number, and distribution of the ground control points. 
Statement
The USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the L8 Data Users Handbook for more detail. 

mdb:MD_Metadata

Metadata identifier
urn:uuid / 5a31eed4-e43a-404d-b534-3f820305ed61

  Point of contact

Resource scope
Dataset  
Metadata linkage

Point-of-truth metadata URL

Date info ( Creation )
2008-11-12T00:00:00
Date info ( Revision )
2021-04-14T03:47:24
Title
ISO 19115.1:2015 Geographic information - Metadata - Fundamentals 
Edition
1.0 
Title
ISO 19115-3:2016 
Edition
1.0 

    Overviews

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