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
1999-08-10 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-08-10_final
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
2000-02-02 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-02-02_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-04-06 11:44:50	ga_ls7e_ard_3-0-0_115078_2000-04-06_final
2000-10-15 11:40:54	ga_ls7e_ard_3-0-0_115074_2000-10-15_final
2001-03-24 11:42:11	ga_ls7e_ard_3-1-0_115077_2001-03-24_final
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2001-12-21 11:40:41	ga_ls7e_ard_3-1-0_115077_2001-12-21_final
2002-01-29 11:47:22	ga_ls7e_ard_3-0-0_116078_2002-01-29_final
2002-05-14 11:39:56	ga_ls7e_ard_3-0-0_115075_2002-05-14_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2004-04-01 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-04-01_final
2004-06-04 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-06-04_final
2005-10-29 11:40:31	ga_ls7e_ard_3-0-0_115075_2005-10-29_final
2006-04-23 11:40:49	ga_ls7e_ard_3-0-0_115074_2006-04-23_final
2006-12-19 11:41:23	ga_ls7e_ard_3-0-0_115075_2006-12-19_final
2008-09-03 11:41:49	ga_ls7e_ard_3-0-0_115079_2008-09-03_final
2009-03-14 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-03-14_final
2009-06-02 11:42:51	ga_ls7e_ard_3-0-0_115078_2009-06-02_final
2010-12-30 11:43:58	ga_ls7e_ard_3-0-0_115074_2010-12-30_final
2011-05-23 11:44:23	ga_ls7e_ard_3-0-0_115074_2011-05-23_final
2012-11-17 11:47:10	ga_ls7e_ard_3-0-0_115075_2012-11-17_final
2013-05-12 11:48:16	ga_ls7e_ard_3-0-0_115078_2013-05-12_final
2013-07-31 11:47:39	ga_ls7e_ard_3-0-0_115078_2013-07-31_final
2016-05-04 11:55:11	ga_ls7e_ard_3-0-0_115079_2016-05-04_final
2016-12-14 11:53:39	ga_ls7e_ard_3-0-0_115075_2016-12-14_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-08-27 11:53:49	ga_ls7e_ard_3-0-0_115075_2017-08-27_final
2017-10-30 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-10-30_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2019-01-21 11:45:24	ga_ls7e_ard_3-0-0_115074_2019-01-21_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-09-02 11:37:16	ga_ls7e_ard_3-1-0_115074_2019-09-02_final
2020-02-25 11:28:54	ga_ls7e_ard_3-1-0_115074_2020-02-25_final
2020-11-07 11:13:39	ga_ls7e_ard_3-1-0_115075_2020-11-07_final
2020-11-21 09:46:58	ga_ls7e_ard_3-1-0_101077_2020-11-21_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-11 09:17:59	ga_ls7e_ard_3-1-0_097070_2020-12-10_final
2020-12-15 10:33:26	ga_ls7e_ard_3-1-0_109074_2020-12-15_final
2020-12-22 10:38:41	ga_ls7e_ard_3-1-0_110073_2020-12-22_final
2021-01-02 10:18:35	ga_ls7e_ard_3-1-0_107071_2021-01-02_final
2021-01-14 10:42:52	ga_ls7e_ard_3-1-0_111072_2021-01-14_final
2021-01-17 09:35:04	ga_ls7e_ard_3-1-0_100073_2021-01-17_final
2021-01-19 09:26:33	ga_ls7e_ard_3-1-0_098083_2021-01-18_final
2021-01-24 09:42:21	ga_ls7e_ard_3-2-0_101077_2021-01-24_final
2021-01-25 10:27:55	ga_ls7e_ard_3-2-0_108083_2021-01-25_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-10 08:45:28	ga_ls7e_ard_3-2-0_092077_2021-02-09_final
2021-02-19 10:14:42	ga_ls7e_ard_3-2-0_107070_2021-02-19_final
2021-02-23 09:54:04	ga_ls7e_ard_3-2-0_103081_2021-02-23_final
2021-03-14 08:47:24	ga_ls7e_ard_3-2-0_092088_2021-03-13_final
2021-03-25 10:02:04	ga_ls7e_ard_3-2-0_105076_2021-03-25_final
2021-04-10 08:24:40	ga_ls7e_ard_3-2-0_089083_2021-04-09_final
2021-04-15 10:16:28	ga_ls7e_ard_3-2-0_108070_2021-04-15_final
2021-04-20 10:36:11	ga_ls7e_ard_3-2-0_111074_2021-04-20_final
2021-04-24 08:36:14	ga_ls7e_ard_3-2-0_091084_2021-04-23_final
2021-04-27 10:45:46	ga_ls7e_ard_3-2-0_112084_2021-04-27_final
2021-05-04 09:10:29	ga_ls7e_ard_3-2-0_097079_2021-05-03_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-06-11 10:07:06	ga_ls7e_ard_3-2-0_107074_2021-06-11_final
2021-06-13 08:18:30	ga_ls7e_ard_3-2-0_089081_2021-06-12_final
2021-06-17 09:28:20	ga_ls7e_ard_3-2-0_101071_2021-06-16_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-06-24 09:35:08	ga_ls7e_ard_3-2-0_102074_2021-06-24_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-07-05 09:13:41	ga_ls7e_ard_3-2-0_099069_2021-07-04_final
2021-07-05 09:18:04	ga_ls7e_ard_3-2-0_099080_2021-07-04_final
2021-07-13 10:04:26	ga_ls7e_ard_3-2-0_107074_2021-07-13_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-26 10:24:30	ga_ls7e_ard_3-2-0_111072_2021-08-26_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-12 09:26:13	ga_ls7e_ard_3-2-0_102069_2021-09-11_final
2021-09-13 08:36:53	ga_ls7e_ard_3-2-0_093085_2021-09-12_final
2021-10-07 09:18:36	ga_ls7e_ard_3-2-0_101071_2021-10-06_final
2021-10-09 10:46:09	ga_ls7e_ard_3-2-0_115074_2021-10-09_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-16 08:38:10	ga_ls7e_ard_3-2-1_095079_2021-12-15_final
2021-12-25 10:07:11	ga_ls7e_ard_3-2-1_110072_2021-12-25_final
2022-01-01 10:12:15	ga_ls7e_ard_3-2-1_111071_2022-01-01_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-02-01 09:25:36	ga_ls7e_ard_3-2-1_104070_2022-01-31_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-16 08:44:23	ga_ls7e_ard_3-2-1_097079_2022-02-15_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-03-06 08:31:54	ga_ls7e_ard_3-2-1_095083_2022-03-05_final
2022-03-10 08:05:11	ga_ls7e_ard_3-2-1_091079_2022-03-09_final
2022-03-10 08:07:59	ga_ls7e_ard_3-2-1_091086_2022-03-09_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_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