Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

45 results

Time (local)	Label
2000-08-30 11:32:09	ga_ls7e_ard_3-0-0_113081_2000-08-30_final
2000-09-10 09:36:07	ga_ls7e_ard_3-0-0_094085_2000-09-10_final
2000-09-28 10:55:59	ga_ls7e_ard_3-0-0_108069_2000-09-28_final
2003-04-20 10:21:59	ga_ls7e_ard_3-0-0_102081_2003-04-20_final
2003-05-16 10:54:15	ga_ls7e_ard_3-0-0_108069_2003-05-16_final
2003-08-29 10:51:43	ga_ls7e_ard_3-0-0_107079_2003-08-29_final
2003-08-30 11:33:47	ga_ls7e_ard_3-0-0_114076_2003-08-30_final
2003-10-18 09:00:21	ga_ls7e_ard_3-0-0_089079_2003-10-17_final
2003-12-20 09:55:22	ga_ls7e_ard_3-0-0_098076_2003-12-20_final
2004-03-26 10:36:41	ga_ls7e_ard_3-0-0_105070_2004-03-26_final
2005-06-30 10:11:05	ga_ls7e_ard_3-0-0_100083_2005-06-30_final
2006-10-26 10:36:16	ga_ls7e_ard_3-0-0_105068_2006-10-26_final
2007-02-04 10:55:55	ga_ls7e_ard_3-0-0_108069_2007-02-04_final
2007-05-27 10:55:49	ga_ls7e_ard_3-0-0_108069_2007-05-27_final
2007-05-28 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-05-28_final
2007-10-19 10:03:45	ga_ls7e_ard_3-0-0_099079_2007-10-19_final
2007-12-22 11:43:08	ga_ls7e_ard_3-0-0_115079_2007-12-22_final
2008-03-27 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-03-27_final
2008-04-04 10:54:42	ga_ls7e_ard_3-0-0_107082_2008-04-04_final
2008-12-30 11:02:56	ga_ls7e_ard_3-0-0_109073_2008-12-30_final
2009-11-29 09:41:10	ga_ls7e_ard_3-0-0_095082_2009-11-29_final
2010-09-08 09:26:32	ga_ls7e_ard_3-0-0_092088_2010-09-07_final
2010-10-10 10:58:40	ga_ls7e_ard_3-0-0_108071_2010-10-10_final
2011-04-09 09:40:26	ga_ls7e_ard_3-1-0_095073_2011-04-09_final
2011-05-11 09:40:00	ga_ls7e_ard_3-0-0_095072_2011-05-11_final
2012-01-11 10:04:10	ga_ls7e_ard_3-0-0_098085_2012-01-11_final
2012-06-25 09:27:32	ga_ls7e_ard_3-0-0_092085_2012-06-24_final
2014-08-30 11:33:29	ga_ls7e_ard_3-0-0_112083_2014-08-30_final
2016-01-29 11:54:35	ga_ls7e_ard_3-0-0_115079_2016-01-29_final
2016-11-17 10:35:47	ga_ls7e_ard_3-0-0_102081_2016-11-17_final
2017-07-17 10:24:45	ga_ls7e_ard_3-0-0_100084_2017-07-17_final
2017-09-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-09-07_final
2017-10-09 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-10-09_final
2018-03-20 11:21:03	ga_ls7e_ard_3-0-0_110074_2018-03-20_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-06-12 10:55:21	ga_ls7e_ard_3-1-0_106075_2018-06-12_final
2018-11-08 11:10:48	ga_ls7e_ard_3-0-0_109075_2018-11-08_final
2019-04-11 10:05:09	ga_ls7e_ard_3-0-0_099077_2019-04-11_final
2019-09-26 09:13:04	ga_ls7e_ard_3-1-0_091087_2019-09-25_final
2020-01-24 09:55:40	ga_ls7e_ard_3-1-0_099084_2020-01-24_final
2020-05-24 09:36:18	ga_ls7e_ard_3-1-0_098068_2020-05-24_final
2020-12-13 10:45:57	ga_ls7e_ard_3-1-0_111074_2020-12-13_final
2021-06-03 10:59:11	ga_ls7e_ard_3-2-0_115079_2021-06-03_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_final
2022-02-27 10:00:53	ga_ls7e_ard_3-2-1_110072_2022-02-27_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years