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
2002-12-24 11:39:32	ga_ls7e_ard_3-0-0_115075_2002-12-24_final
2004-02-13 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-02-13_final
2004-10-10 11:40:54	ga_ls7e_ard_3-0-0_115078_2004-10-10_final
2005-03-12 11:36:43	ga_ls7e_ard_3-0-0_114080_2005-03-12_final
2005-03-19 11:40:54	ga_ls7e_ard_3-0-0_115075_2005-03-19_final
2005-11-14 11:41:53	ga_ls7e_ard_3-0-0_115078_2005-11-14_final
2006-04-07 11:42:27	ga_ls7e_ard_3-0-0_115078_2006-04-07_final
2006-08-13 11:41:41	ga_ls7e_ard_3-1-0_115077_2006-08-13_final
2007-04-03 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-04-03_final
2007-06-13 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-06-13_final
2008-07-17 11:40:35	ga_ls7e_ard_3-0-0_115075_2008-07-17_final
2008-10-05 11:40:42	ga_ls7e_ard_3-1-0_115077_2008-10-05_final
2009-10-24 11:41:53	ga_ls7e_ard_3-0-0_115076_2009-10-24_final
2011-04-21 11:45:12	ga_ls7e_ard_3-0-0_115076_2011-04-21_final
2011-06-08 11:44:48	ga_ls7e_ard_3-0-0_115075_2011-06-08_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2011-12-17 11:44:38	ga_ls7e_ard_3-0-0_115074_2011-12-17_final
2014-11-16 11:43:16	ga_ls7e_ard_3-0-0_114075_2014-11-16_final
2016-07-23 11:55:00	ga_ls7e_ard_3-0-0_115078_2016-07-23_final
2016-11-12 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-11-12_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2019-10-04 11:37:28	ga_ls7e_ard_3-1-0_115078_2019-10-04_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-11-23 11:12:56	ga_ls7e_ard_3-1-0_115076_2020-11-23_final
2020-11-28 09:50:15	ga_ls7e_ard_3-1-0_102071_2020-11-28_final
2020-12-07 09:43:24	ga_ls7e_ard_3-1-0_101071_2020-12-07_final
2020-12-09 09:33:17	ga_ls7e_ard_3-1-0_099077_2020-12-09_final
2020-12-13 09:06:40	ga_ls7e_ard_3-1-0_095073_2020-12-12_final
2020-12-14 09:49:03	ga_ls7e_ard_3-1-0_102071_2020-12-14_final
2020-12-15 10:33:26	ga_ls7e_ard_3-1-0_109074_2020-12-15_final
2020-12-17 10:19:44	ga_ls7e_ard_3-1-0_107071_2020-12-17_final
2020-12-19 08:31:08	ga_ls7e_ard_3-1-0_089078_2020-12-18_final
2020-12-24 08:48:54	ga_ls7e_ard_3-1-0_092077_2020-12-23_final
2020-12-26 10:13:17	ga_ls7e_ard_3-1-0_106072_2020-12-26_final
2021-01-05 10:50:28	ga_ls7e_ard_3-1-0_112074_2021-01-05_final
2021-01-09 08:51:47	ga_ls7e_ard_3-1-0_092087_2021-01-08_final
2021-01-14 10:43:40	ga_ls7e_ard_3-1-0_111074_2021-01-14_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-19 08:39:25	ga_ls7e_ard_3-2-0_091079_2021-02-18_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-05 10:26:47	ga_ls7e_ard_3-2-0_109072_2021-03-05_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-17 09:16:28	ga_ls7e_ard_3-2-0_097084_2021-03-16_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-18 09:11:26	ga_ls7e_ard_3-2-0_097078_2021-04-17_final
2021-05-02 09:18:13	ga_ls7e_ard_3-2-0_099067_2021-05-01_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-12 08:19:59	ga_ls7e_ard_3-2-0_089078_2021-05-11_final
2021-05-21 09:52:43	ga_ls7e_ard_3-2-0_104080_2021-05-21_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-06-12 09:13:00	ga_ls7e_ard_3-2-0_098078_2021-06-11_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-11 08:42:52	ga_ls7e_ard_3-2-0_093086_2021-07-10_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-07-29 10:01:27	ga_ls7e_ard_3-2-0_107070_2021-07-29_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-22 09:12:41	ga_ls7e_ard_3-2-0_099077_2021-08-21_final
2021-08-26 10:24:54	ga_ls7e_ard_3-2-0_111073_2021-08-26_final
2021-08-30 08:25:45	ga_ls7e_ard_3-2-0_091085_2021-08-29_final
2021-09-04 08:43:52	ga_ls7e_ard_3-2-0_094085_2021-09-03_final
2021-09-17 08:09:25	ga_ls7e_ard_3-2-0_089079_2021-09-16_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-08 10:02:58	ga_ls7e_ard_3-2-0_108074_2021-10-08_final
2021-10-22 10:14:05	ga_ls7e_ard_3-2-0_110074_2021-10-22_final
2021-10-25 09:07:02	ga_ls7e_ard_3-2-0_099077_2021-10-24_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-07 08:38:06	ga_ls7e_ard_3-2-0_094085_2021-11-06_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-10 09:01:56	ga_ls7e_ard_3-2-0_099068_2021-11-09_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-22 08:00:06	ga_ls7e_ard_3-2-1_089078_2021-12-21_final
2021-12-22 08:01:42	ga_ls7e_ard_3-2-1_089082_2021-12-21_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-01-15 10:24:28	ga_ls7e_ard_3-2-1_113074_2022-01-15_final
2022-01-19 10:00:10	ga_ls7e_ard_3-2-1_109076_2022-01-19_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-01-28 08:18:37	ga_ls7e_ard_3-2-1_092087_2022-01-27_final
2022-02-07 08:47:07	ga_ls7e_ard_3-2-1_098068_2022-02-06_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-02-27 08:22:49	ga_ls7e_ard_3-2-1_094074_2022-02-26_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_final
2022-03-25 08:58:32	ga_ls7e_ard_3-2-1_100077_2022-03-24_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