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
1999-07-02 11:39:20	ga_ls7e_ard_3-0-0_114079_1999-07-02_final
1999-12-25 11:39:28	ga_ls7e_ard_3-0-0_114079_1999-12-25_final
2000-01-10 11:39:04	ga_ls7e_ard_3-0-0_114078_2000-01-10_final
2000-01-17 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-17_final
2000-02-18 11:45:29	ga_ls7e_ard_3-0-0_115079_2000-02-18_final
2000-07-04 11:37:50	ga_ls7e_ard_3-0-0_114078_2000-07-04_final
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2000-09-13 11:43:26	ga_ls7e_ard_3-0-0_115079_2000-09-13_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2001-02-20 11:43:12	ga_ls7e_ard_3-0-0_115079_2001-02-20_final
2001-05-11 11:40:46	ga_ls7e_ard_3-0-0_115074_2001-05-11_final
2001-05-27 11:40:37	ga_ls7e_ard_3-0-0_115074_2001-05-27_final
2001-10-02 11:41:06	ga_ls7e_ard_3-0-0_115079_2001-10-02_final
2001-12-05 11:39:16	ga_ls7e_ard_3-0-0_115074_2001-12-05_final
2001-12-14 11:35:17	ga_ls7e_ard_3-0-0_114079_2001-12-14_final
2002-01-06 11:39:30	ga_ls7e_ard_3-0-0_115074_2002-01-06_final
2002-05-30 11:40:13	ga_ls7e_ard_3-0-0_115076_2002-05-30_final
2002-09-03 11:38:48	ga_ls7e_ard_3-0-0_115074_2002-09-03_final
2003-02-26 11:39:27	ga_ls7e_ard_3-0-0_115074_2003-02-26_final
2004-01-21 11:35:14	ga_ls7e_ard_3-0-0_114078_2004-01-21_final
2004-02-06 11:35:43	ga_ls7e_ard_3-0-0_114079_2004-02-06_final
2004-10-19 11:35:18	ga_ls7e_ard_3-0-0_114079_2004-10-19_final
2006-04-23 11:41:37	ga_ls7e_ard_3-0-0_115076_2006-04-23_final
2009-12-27 11:42:49	ga_ls7e_ard_3-0-0_115076_2009-12-27_final
2010-12-30 11:45:09	ga_ls7e_ard_3-1-0_115077_2010-12-30_final
2011-03-04 11:45:56	ga_ls7e_ard_3-0-0_115078_2011-03-04_final
2013-05-21 11:42:28	ga_ls7e_ard_3-0-0_114079_2013-05-21_final
2013-11-13 11:43:12	ga_ls7e_ard_3-0-0_114080_2013-11-13_final
2013-12-06 11:47:09	ga_ls7e_ard_3-0-0_115074_2013-12-06_final
2015-07-21 11:52:09	ga_ls7e_ard_3-0-0_115078_2015-07-21_final
2016-02-23 11:48:53	ga_ls7e_ard_3-0-0_114080_2016-02-23_final
2016-11-21 11:49:33	ga_ls7e_ard_3-0-0_114080_2016-11-21_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-05-26 11:52:27	ga_ls7e_ard_3-0-0_115078_2018-05-26_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2020-09-20 11:16:47	ga_ls7e_ard_3-1-0_115075_2020-09-20_final
2020-11-22 10:31:21	ga_ls7e_ard_3-1-0_108080_2020-11-22_final
2020-11-23 09:34:27	ga_ls7e_ard_3-1-0_099077_2020-11-23_final
2020-12-04 09:18:19	ga_ls7e_ard_3-1-0_096085_2020-12-03_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-15 09:45:35	ga_ls7e_ard_3-1-0_102068_2021-01-15_final
2021-01-22 09:52:27	ga_ls7e_ard_3-2-0_103071_2021-01-22_final
2021-02-03 08:41:24	ga_ls7e_ard_3-2-0_091081_2021-02-02_final
2021-02-16 09:43:14	ga_ls7e_ard_3-2-0_102068_2021-02-16_final
2021-02-17 08:52:43	ga_ls7e_ard_3-2-0_093081_2021-02-16_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-03-25 10:00:28	ga_ls7e_ard_3-2-0_105072_2021-03-25_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-20 10:35:23	ga_ls7e_ard_3-2-0_111072_2021-04-20_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-25 09:15:01	ga_ls7e_ard_3-2-0_098073_2021-04-24_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-18 09:21:16	ga_ls7e_ard_3-2-0_099078_2021-05-17_final
2021-05-22 10:35:53	ga_ls7e_ard_3-2-0_111080_2021-05-22_final
2021-05-24 08:46:04	ga_ls7e_ard_3-2-0_093084_2021-05-23_final
2021-05-27 09:10:20	ga_ls7e_ard_3-2-0_098068_2021-05-26_final
2021-06-27 10:04:35	ga_ls7e_ard_3-2-0_107071_2021-06-27_final
2021-06-27 10:08:11	ga_ls7e_ard_3-2-0_107080_2021-06-27_final
2021-07-21 09:15:54	ga_ls7e_ard_3-2-0_099078_2021-07-20_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-08-06 09:10:30	ga_ls7e_ard_3-2-0_099068_2021-08-05_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-23 08:20:11	ga_ls7e_ard_3-2-0_090085_2021-08-22_final
2021-08-31 09:08:56	ga_ls7e_ard_3-2-0_098085_2021-08-30_final
2021-09-11 10:21:07	ga_ls7e_ard_3-2-0_111067_2021-09-11_final
2021-09-29 08:31:27	ga_ls7e_ard_3-2-0_093075_2021-09-28_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-12 09:40:18	ga_ls7e_ard_3-2-0_104080_2021-10-12_final
2021-10-20 10:26:37	ga_ls7e_ard_3-2-0_112074_2021-10-20_final
2021-10-25 09:03:26	ga_ls7e_ard_3-2-0_099068_2021-10-24_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-30 08:41:40	ga_ls7e_ard_3-2-1_095084_2021-11-29_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-13 09:45:38	ga_ls7e_ard_3-2-1_106077_2021-12-13_final
2021-12-18 10:06:05	ga_ls7e_ard_3-2-1_109083_2021-12-18_final
2022-01-03 08:22:48	ga_ls7e_ard_3-2-1_093076_2022-01-02_final
2022-01-12 08:16:10	ga_ls7e_ard_3-2-1_092077_2022-01-11_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-19 10:00:10	ga_ls7e_ard_3-2-1_109076_2022-01-19_final
2022-01-24 10:18:13	ga_ls7e_ard_3-2-1_112076_2022-01-24_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-06 08:09:09	ga_ls7e_ard_3-2-1_091081_2022-02-05_final
2022-02-06 09:46:02	ga_ls7e_ard_3-2-1_107076_2022-02-06_final
2022-02-07 10:28:47	ga_ls7e_ard_3-2-1_114075_2022-02-07_final
2022-02-08 09:34:15	ga_ls7e_ard_3-2-1_105078_2022-02-08_final
2022-02-12 09:11:07	ga_ls7e_ard_3-2-1_101083_2022-02-11_final
2022-02-17 09:25:33	ga_ls7e_ard_3-2-1_104074_2022-02-16_final
2022-02-19 09:16:12	ga_ls7e_ard_3-2-1_102082_2022-02-18_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-17 09:45:56	ga_ls7e_ard_3-2-1_108070_2022-03-17_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_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