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 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-07-09_final
2000-04-06 11:45:14	ga_ls7e_ard_3-0-0_115079_2000-04-06_final
2000-07-27 11:42:48	ga_ls7e_ard_3-0-0_115076_2000-07-27_final
2001-08-15 11:39:38	ga_ls7e_ard_3-0-0_115074_2001-08-15_final
2002-10-21 11:39:23	ga_ls7e_ard_3-0-0_115076_2002-10-21_final
2003-04-15 11:40:22	ga_ls7e_ard_3-0-0_115076_2003-04-15_final
2003-08-21 11:39:12	ga_ls7e_ard_3-0-0_115074_2003-08-21_final
2004-12-13 11:41:35	ga_ls7e_ard_3-0-0_115078_2004-12-13_final
2005-05-22 11:42:24	ga_ls7e_ard_3-0-0_115079_2005-05-22_final
2010-05-20 11:44:30	ga_ls7e_ard_3-0-0_115078_2010-05-20_final
2010-12-14 11:44:37	ga_ls7e_ard_3-0-0_115076_2010-12-14_final
2011-03-04 11:46:20	ga_ls7e_ard_3-0-0_115079_2011-03-04_final
2011-03-20 11:45:57	ga_ls7e_ard_3-0-0_115078_2011-03-20_final
2011-12-17 11:46:38	ga_ls7e_ard_3-0-0_115079_2011-12-17_final
2013-04-10 11:46:50	ga_ls7e_ard_3-0-0_115074_2013-04-10_final
2013-11-04 11:48:31	ga_ls7e_ard_3-0-0_115078_2013-11-04_final
2014-05-15 11:49:19	ga_ls7e_ard_3-1-0_115077_2014-05-15_final
2015-09-07 11:52:41	ga_ls7e_ard_3-0-0_115079_2015-09-07_final
2016-01-29 11:54:35	ga_ls7e_ard_3-0-0_115079_2016-01-29_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2017-03-04 11:52:55	ga_ls7e_ard_3-0-0_115074_2017-03-04_final
2018-04-24 11:51:24	ga_ls7e_ard_3-0-0_115074_2018-04-24_final
2019-02-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2019-02-06_final
2020-11-21 09:46:58	ga_ls7e_ard_3-1-0_101077_2020-11-21_final
2020-12-01 10:24:55	ga_ls7e_ard_3-1-0_107081_2020-12-01_final
2020-12-16 09:41:20	ga_ls7e_ard_3-1-0_100083_2020-12-16_final
2020-12-17 08:45:14	ga_ls7e_ard_3-1-0_091082_2020-12-16_final
2020-12-26 10:13:17	ga_ls7e_ard_3-1-0_106072_2020-12-26_final
2020-12-27 11:00:52	ga_ls7e_ard_3-1-0_113083_2020-12-27_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-10 09:31:47	ga_ls7e_ard_3-1-0_099079_2021-01-10_final
2021-01-23 09:01:57	ga_ls7e_ard_3-2-0_094084_2021-01-22_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-10 10:21:33	ga_ls7e_ard_3-2-0_108070_2021-02-10_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-07 10:14:40	ga_ls7e_ard_3-2-0_107073_2021-03-07_final
2021-03-13 09:37:30	ga_ls7e_ard_3-2-0_101074_2021-03-13_final
2021-03-23 10:13:23	ga_ls7e_ard_3-2-0_107073_2021-03-23_final
2021-03-25 10:04:51	ga_ls7e_ard_3-2-0_105083_2021-03-25_final
2021-03-28 08:52:39	ga_ls7e_ard_3-2-0_094073_2021-03-27_final
2021-04-01 10:10:28	ga_ls7e_ard_3-2-0_106083_2021-04-01_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-22 10:27:15	ga_ls7e_ard_3-2-0_109083_2021-04-22_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-06-14 08:58:29	ga_ls7e_ard_3-2-0_096073_2021-06-13_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-06-28 09:11:17	ga_ls7e_ard_3-2-0_098077_2021-06-27_final
2021-07-04 08:36:05	ga_ls7e_ard_3-2-0_092083_2021-07-03_final
2021-07-04 10:10:59	ga_ls7e_ard_3-2-0_108073_2021-07-04_final
2021-07-08 09:48:19	ga_ls7e_ard_3-2-0_104079_2021-07-08_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-08-01 10:37:16	ga_ls7e_ard_3-2-0_112083_2021-08-01_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-09-04 08:39:04	ga_ls7e_ard_3-2-0_094073_2021-09-03_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-18 08:54:35	ga_ls7e_ard_3-2-0_096084_2021-09-17_final
2021-09-23 09:06:17	ga_ls7e_ard_3-2-0_099068_2021-09-22_final
2021-09-26 09:38:07	ga_ls7e_ard_3-2-0_104071_2021-09-26_final
2021-09-30 09:17:49	ga_ls7e_ard_3-2-0_100083_2021-09-29_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_2021-10-01_final
2021-10-22 10:13:41	ga_ls7e_ard_3-2-0_110073_2021-10-22_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-10-28 09:38:51	ga_ls7e_ard_3-2-0_104080_2021-10-28_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-10-31 08:32:35	ga_ls7e_ard_3-2-0_093085_2021-10-30_final
2021-11-05 08:46:40	ga_ls7e_ard_3-2-0_096075_2021-11-04_final
2021-11-09 08:24:45	ga_ls7e_ard_3-2-0_092083_2021-11-08_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-11-23 08:35:20	ga_ls7e_ard_3-2-1_094082_2021-11-22_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-27 09:44:44	ga_ls7e_ard_3-2-1_106071_2021-11-27_final
2021-11-28 08:51:25	ga_ls7e_ard_3-2-1_097077_2021-11-27_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-04 08:16:35	ga_ls7e_ard_3-2-1_091084_2021-12-03_final
2021-12-12 09:03:16	ga_ls7e_ard_3-2-1_099079_2021-12-11_final
2021-12-13 09:43:14	ga_ls7e_ard_3-2-1_106071_2021-12-13_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-14 08:47:31	ga_ls7e_ard_3-2-1_097071_2021-12-13_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-07 09:38:34	ga_ls7e_ard_3-2-1_105081_2022-01-07_final
2022-01-19 08:24:53	ga_ls7e_ard_3-2-1_093085_2022-01-18_final
2022-02-05 09:04:04	ga_ls7e_ard_3-2-1_100079_2022-02-04_final
2022-02-08 07:56:35	ga_ls7e_ard_3-2-1_089081_2022-02-07_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-23 08:46:43	ga_ls7e_ard_3-2-1_098071_2022-02-22_final
2022-03-09 09:00:54	ga_ls7e_ard_3-2-1_100079_2022-03-08_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-22 08:29:55	ga_ls7e_ard_3-2-1_095082_2022-03-21_final
2022-03-26 09:39:42	ga_ls7e_ard_3-2-1_107072_2022-03-26_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