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:

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First 100 results (query limit)

Time (local)	Label
1999-08-14 09:42:04	ga_ls7e_ard_3-1-0_095079_1999-08-14_final
2006-11-21 09:39:11	ga_ls7e_ard_3-1-0_095079_2006-11-21_final
2006-11-21 09:39:59	ga_ls7e_ard_3-1-0_095081_2006-11-21_final
2006-12-07 09:39:19	ga_ls7e_ard_3-1-0_095079_2006-12-07_final
2007-01-08 09:39:25	ga_ls7e_ard_3-1-0_095079_2007-01-08_final
2007-01-24 09:39:28	ga_ls7e_ard_3-1-0_095079_2007-01-24_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2007-03-29 09:39:44	ga_ls7e_ard_3-1-0_095079_2007-03-29_final
2007-04-30 09:39:39	ga_ls7e_ard_3-1-0_095079_2007-04-30_final
2007-05-16 09:39:34	ga_ls7e_ard_3-1-0_095079_2007-05-16_final
2007-06-01 09:39:27	ga_ls7e_ard_3-1-0_095079_2007-06-01_final
2007-06-17 09:39:27	ga_ls7e_ard_3-1-0_095079_2007-06-17_final
2007-07-03 09:39:26	ga_ls7e_ard_3-1-0_095079_2007-07-03_final
2007-08-04 09:39:18	ga_ls7e_ard_3-1-0_095079_2007-08-04_final
2007-08-20 09:39:12	ga_ls7e_ard_3-1-0_095079_2007-08-20_final
2007-10-23 09:39:05	ga_ls7e_ard_3-1-0_095079_2007-10-23_final
2007-11-08 09:39:15	ga_ls7e_ard_3-1-0_095079_2007-11-08_final
2007-12-10 09:39:29	ga_ls7e_ard_3-1-0_095079_2007-12-10_final
2008-01-11 09:39:33	ga_ls7e_ard_3-1-0_095079_2008-01-11_final
2008-01-27 09:39:32	ga_ls7e_ard_3-1-0_095079_2008-01-27_final
2008-03-31 09:39:21	ga_ls7e_ard_3-1-0_095079_2008-03-31_final
2008-06-19 09:38:54	ga_ls7e_ard_3-1-0_095079_2008-06-19_final
2008-07-05 09:38:43	ga_ls7e_ard_3-1-0_095079_2008-07-05_final
2008-07-21 09:38:31	ga_ls7e_ard_3-1-0_095079_2008-07-21_final
2008-08-22 09:38:18	ga_ls7e_ard_3-1-0_095079_2008-08-22_final
2008-09-07 09:38:11	ga_ls7e_ard_3-1-0_095079_2008-09-07_final
2008-11-26 09:38:29	ga_ls7e_ard_3-1-0_095079_2008-11-26_final
2009-01-13 09:38:53	ga_ls7e_ard_3-1-0_095079_2009-01-13_final
2016-01-17 09:50:51	ga_ls7e_ard_3-1-0_095079_2016-01-17_final
2016-07-11 09:51:45	ga_ls7e_ard_3-1-0_095079_2016-07-11_final
2016-07-27 09:51:48	ga_ls7e_ard_3-1-0_095079_2016-07-27_final
2016-09-13 09:51:54	ga_ls7e_ard_3-1-0_095079_2016-09-13_final
2016-10-15 09:51:57	ga_ls7e_ard_3-1-0_095079_2016-10-15_final
2016-10-31 09:51:52	ga_ls7e_ard_3-1-0_095079_2016-10-31_final
2016-11-16 09:51:44	ga_ls7e_ard_3-1-0_095079_2016-11-16_final
2017-01-03 09:51:28	ga_ls7e_ard_3-1-0_095079_2017-01-03_final
2017-01-19 09:51:18	ga_ls7e_ard_3-1-0_095079_2017-01-19_final
2017-02-04 09:51:11	ga_ls7e_ard_3-1-0_095079_2017-02-04_final
2017-02-20 09:51:12	ga_ls7e_ard_3-1-0_095079_2017-02-20_final
2017-06-12 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-06-12_final
2017-06-28 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-06-28_final
2017-07-30 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-07-30_final
2017-08-15 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-08-15_final
2017-08-31 09:51:49	ga_ls7e_ard_3-1-0_095079_2017-08-31_final
2017-09-16 09:51:46	ga_ls7e_ard_3-1-0_095079_2017-09-16_final
2017-10-02 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-10-02_final
2018-01-06 09:51:18	ga_ls7e_ard_3-1-0_095079_2018-01-06_final
2018-02-07 09:50:47	ga_ls7e_ard_3-1-0_095079_2018-02-07_final
2018-02-23 09:50:38	ga_ls7e_ard_3-1-0_095079_2018-02-23_final
2018-03-11 09:50:27	ga_ls7e_ard_3-1-0_095079_2018-03-11_final
2018-03-27 09:50:14	ga_ls7e_ard_3-1-0_095079_2018-03-27_final
2018-04-12 09:50:00	ga_ls7e_ard_3-1-0_095079_2018-04-12_final
2018-04-28 09:49:43	ga_ls7e_ard_3-1-0_095079_2018-04-28_final
2018-05-30 09:49:11	ga_ls7e_ard_3-1-0_095079_2018-05-30_final
2018-07-01 09:48:36	ga_ls7e_ard_3-1-0_095079_2018-07-01_final
2018-07-17 09:48:17	ga_ls7e_ard_3-1-0_095079_2018-07-17_final
2018-08-02 09:48:01	ga_ls7e_ard_3-1-0_095079_2018-08-02_final
2018-09-19 09:47:02	ga_ls7e_ard_3-1-0_095079_2018-09-19_final
2018-10-21 09:46:16	ga_ls7e_ard_3-1-0_095079_2018-10-21_final
2018-11-22 09:45:32	ga_ls7e_ard_3-1-0_095079_2018-11-22_final
2019-01-25 09:43:40	ga_ls7e_ard_3-1-0_095079_2019-01-25_final
2019-02-26 09:42:42	ga_ls7e_ard_3-1-0_095079_2019-02-26_final
2019-02-26 09:44:41	ga_ls7e_ard_3-1-0_095084_2019-02-26_final
2019-03-14 09:43:47	ga_ls7e_ard_3-1-0_095083_2019-03-14_final
2019-03-14 09:44:11	ga_ls7e_ard_3-1-0_095084_2019-03-14_final
2019-03-30 09:41:39	ga_ls7e_ard_3-1-0_095079_2019-03-30_final
2019-04-15 09:41:05	ga_ls7e_ard_3-1-0_095079_2019-04-15_final
2019-05-01 09:40:29	ga_ls7e_ard_3-1-0_095079_2019-05-01_final
2019-05-17 09:39:52	ga_ls7e_ard_3-1-0_095079_2019-05-17_final
2019-06-02 09:39:17	ga_ls7e_ard_3-1-0_095079_2019-06-02_final
2019-06-18 09:38:42	ga_ls7e_ard_3-1-0_095079_2019-06-18_final
2019-07-04 09:38:06	ga_ls7e_ard_3-1-0_095079_2019-07-04_final
2019-08-05 09:36:50	ga_ls7e_ard_3-1-0_095079_2019-08-05_final
2019-08-21 09:36:10	ga_ls7e_ard_3-1-0_095079_2019-08-21_final
2019-09-06 09:35:29	ga_ls7e_ard_3-1-0_095079_2019-09-06_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-10-08 09:34:06	ga_ls7e_ard_3-1-0_095079_2019-10-08_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-10-24 09:33:25	ga_ls7e_ard_3-1-0_095079_2019-10-24_final
2019-10-24 09:35:01	ga_ls7e_ard_3-1-0_095083_2019-10-24_final
2019-10-24 09:35:25	ga_ls7e_ard_3-1-0_095084_2019-10-24_final
2019-11-09 09:34:42	ga_ls7e_ard_3-1-0_095084_2019-11-09_final
2019-11-25 09:31:58	ga_ls7e_ard_3-1-0_095079_2019-11-25_final
2019-11-25 09:33:57	ga_ls7e_ard_3-1-0_095084_2019-11-25_final
2019-12-11 09:31:11	ga_ls7e_ard_3-1-0_095079_2019-12-11_final
2019-12-11 09:33:10	ga_ls7e_ard_3-1-0_095084_2019-12-11_final
2019-12-27 09:30:21	ga_ls7e_ard_3-1-0_095079_2019-12-27_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2020-01-12 09:29:32	ga_ls7e_ard_3-1-0_095079_2020-01-11_final
2020-01-12 09:31:32	ga_ls7e_ard_3-1-0_095084_2020-01-12_final
2020-01-28 09:28:45	ga_ls7e_ard_3-1-0_095079_2020-01-27_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2020-02-13 09:27:56	ga_ls7e_ard_3-1-0_095079_2020-02-12_final
2020-02-29 09:27:05	ga_ls7e_ard_3-1-0_095079_2020-02-28_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-03-16 09:26:13	ga_ls7e_ard_3-1-0_095079_2020-03-15_final
2020-03-16 09:28:13	ga_ls7e_ard_3-1-0_095084_2020-03-15_final
2020-04-01 09:27:19	ga_ls7e_ard_3-1-0_095084_2020-03-31_final
2020-04-17 09:24:24	ga_ls7e_ard_3-1-0_095079_2020-04-16_final
2020-04-17 09:26:00	ga_ls7e_ard_3-1-0_095083_2020-04-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years