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

First 100 results (query limit)

Time (local)	Label
1999-07-09 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-07-09_final
2000-01-01 11:45:36	ga_ls7e_ard_3-0-0_115079_2000-01-01_final
2000-04-22 11:44:42	ga_ls7e_ard_3-0-0_115078_2000-04-22_final
2000-09-13 11:43:03	ga_ls7e_ard_3-0-0_115078_2000-09-13_final
2001-04-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2001-04-25_final
2002-04-23 11:21:02	ga_ls7e_ard_3-0-0_112074_2002-04-23_final
2003-09-22 11:41:00	ga_ls7e_ard_3-0-0_115079_2003-09-22_final
2004-01-12 11:40:31	ga_ls7e_ard_3-0-0_115076_2004-01-12_final
2005-01-25 11:21:39	ga_ls7e_ard_3-0-0_112074_2005-01-25_final
2005-04-04 11:41:39	ga_ls7e_ard_3-1-0_115077_2005-04-04_final
2006-08-13 11:41:17	ga_ls7e_ard_3-0-0_115076_2006-08-13_final
2006-12-07 11:16:13	ga_ls7e_ard_3-0-0_111074_2006-12-07_final
2008-05-14 11:42:24	ga_ls7e_ard_3-0-0_115078_2008-05-14_final
2008-07-28 11:21:32	ga_ls7e_ard_3-0-0_112074_2008-07-28_final
2008-09-07 11:15:04	ga_ls7e_ard_3-0-0_111074_2008-09-07_final
2009-01-13 11:15:46	ga_ls7e_ard_3-0-0_111074_2009-01-13_final
2009-06-06 11:20:07	ga_ls7e_ard_3-0-0_111083_2009-06-06_final
2009-09-10 11:15:51	ga_ls7e_ard_3-0-0_111073_2009-09-10_final
2009-09-22 11:41:21	ga_ls7e_ard_3-0-0_115075_2009-09-22_final
2011-05-02 11:25:53	ga_ls7e_ard_3-0-0_112074_2011-05-02_final
2011-07-14 11:19:12	ga_ls7e_ard_3-0-0_111073_2011-07-14_final
2012-04-11 11:19:43	ga_ls7e_ard_3-0-0_111073_2012-04-11_final
2012-11-28 11:28:15	ga_ls7e_ard_3-0-0_112074_2012-11-28_final
2013-02-05 11:47:25	ga_ls7e_ard_3-0-0_115075_2013-02-05_final
2014-01-02 11:28:42	ga_ls7e_ard_3-0-0_112074_2014-01-02_final
2014-12-29 11:24:35	ga_ls7e_ard_3-0-0_111074_2014-12-29_final
2015-01-10 11:51:22	ga_ls7e_ard_3-0-0_115079_2015-01-10_final
2015-11-14 11:26:23	ga_ls7e_ard_3-0-0_111073_2015-11-14_final
2016-07-07 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-07-07_final
2016-08-24 11:53:52	ga_ls7e_ard_3-0-0_115075_2016-08-24_final
2018-03-27 11:27:08	ga_ls7e_ard_3-0-0_111074_2018-03-27_final
2018-05-14 11:26:19	ga_ls7e_ard_3-0-0_111074_2018-05-14_final
2019-05-17 11:16:45	ga_ls7e_ard_3-0-0_111074_2019-05-17_final
2019-08-21 11:13:03	ga_ls7e_ard_3-0-0_111074_2019-08-21_final
2019-11-25 11:09:15	ga_ls7e_ard_3-1-0_111075_2019-11-25_final
2020-01-28 11:06:02	ga_ls7e_ard_3-1-0_111075_2020-01-28_final
2020-07-06 10:56:07	ga_ls7e_ard_3-1-0_111073_2020-07-06_final
2020-09-24 10:51:00	ga_ls7e_ard_3-1-0_111073_2020-09-24_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-12-09 09:29:42	ga_ls7e_ard_3-1-0_099068_2020-12-08_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-25 11:10:34	ga_ls7e_ard_3-1-0_115076_2020-12-25_final
2020-12-27 11:00:52	ga_ls7e_ard_3-1-0_113083_2020-12-27_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-10 09:31:47	ga_ls7e_ard_3-1-0_099079_2021-01-10_final
2021-01-12 10:58:33	ga_ls7e_ard_3-1-0_113080_2021-01-12_final
2021-01-16 10:33:09	ga_ls7e_ard_3-1-0_109079_2021-01-16_final
2021-01-18 08:45:22	ga_ls7e_ard_3-1-0_091088_2021-01-17_final
2021-01-21 10:49:44	ga_ls7e_ard_3-2-0_112075_2021-01-21_final
2021-02-10 10:26:21	ga_ls7e_ard_3-2-0_108082_2021-02-10_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-03-29 09:37:25	ga_ls7e_ard_3-2-0_101077_2021-03-29_final
2021-03-31 09:22:54	ga_ls7e_ard_3-2-0_099072_2021-03-30_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-05-24 10:19:46	ga_ls7e_ard_3-2-0_109071_2021-05-24_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-06-18 10:13:54	ga_ls7e_ard_3-2-0_108077_2021-06-18_final
2021-06-20 09:58:35	ga_ls7e_ard_3-2-0_106070_2021-06-20_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-18 10:26:08	ga_ls7e_ard_3-2-0_110083_2021-07-18_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_final
2021-08-16 09:49:29	ga_ls7e_ard_3-2-0_105075_2021-08-16_final
2021-09-06 10:06:13	ga_ls7e_ard_3-2-0_108075_2021-09-06_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_final
2021-09-13 08:37:41	ga_ls7e_ard_3-2-0_093087_2021-09-12_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-09-26 09:36:55	ga_ls7e_ard_3-2-0_104068_2021-09-26_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-13 10:24:40	ga_ls7e_ard_3-2-0_111083_2021-10-13_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-25 09:03:50	ga_ls7e_ard_3-2-0_099069_2021-10-24_final
2021-10-26 09:49:48	ga_ls7e_ard_3-2-0_106076_2021-10-26_final
2021-11-02 09:55:43	ga_ls7e_ard_3-2-0_107077_2021-11-02_final
2021-11-05 08:45:04	ga_ls7e_ard_3-2-0_096071_2021-11-04_final
2021-11-30 10:15:46	ga_ls7e_ard_3-2-1_111072_2021-11-30_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2021-12-09 10:13:07	ga_ls7e_ard_3-2-1_110083_2021-12-09_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2021-12-20 08:11:51	ga_ls7e_ard_3-2-1_091076_2021-12-19_final
2021-12-20 09:49:08	ga_ls7e_ard_3-2-1_107072_2021-12-20_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-29 08:58:59	ga_ls7e_ard_3-2-1_099080_2022-01-28_final
2022-02-12 09:11:07	ga_ls7e_ard_3-2-1_101083_2022-02-11_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_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