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
2000-03-28 11:51:07	ga_ls7e_ard_3-0-0_116078_2000-03-28_final
2002-11-10 09:39:52	ga_ls7e_ard_3-0-0_095086_2002-11-10_final
2003-01-09 11:41:08	ga_ls7e_ard_3-0-0_115079_2003-01-09_final
2003-05-21 09:40:39	ga_ls7e_ard_3-0-0_095086_2003-05-21_final
2003-11-13 09:38:08	ga_ls7e_ard_3-0-0_095080_2003-11-13_final
2004-05-07 09:36:23	ga_ls7e_ard_3-0-0_095074_2004-05-07_final
2004-11-15 09:35:44	ga_ls7e_ard_3-1-0_095073_2004-11-15_final
2004-12-01 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-12-01_final
2004-12-17 09:39:37	ga_ls7e_ard_3-0-0_095082_2004-12-17_final
2005-03-23 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-23_final
2005-07-13 09:35:50	ga_ls7e_ard_3-0-0_095072_2005-07-13_final
2005-11-30 11:42:23	ga_ls7e_ard_3-0-0_115079_2005-11-30_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2007-04-30 09:41:15	ga_ls7e_ard_3-0-0_095083_2007-04-30_final
2008-08-06 09:36:01	ga_ls7e_ard_3-1-0_095073_2008-08-06_final
2009-03-02 09:42:26	ga_ls7e_ard_3-0-0_095087_2009-03-02_final
2011-03-04 11:45:32	ga_ls7e_ard_3-1-0_115077_2011-03-04_final
2011-11-19 09:40:25	ga_ls7e_ard_3-1-0_095073_2011-11-19_final
2013-06-13 11:48:28	ga_ls7e_ard_3-0-0_115079_2013-06-13_final
2015-06-03 11:52:20	ga_ls7e_ard_3-0-0_115079_2015-06-03_final
2015-08-26 09:48:39	ga_ls7e_ard_3-0-0_095078_2015-08-26_final
2015-12-16 09:47:59	ga_ls7e_ard_3-1-0_095073_2015-12-16_final
2016-03-01 11:54:21	ga_ls7e_ard_3-0-0_115078_2016-03-01_final
2016-08-28 09:54:40	ga_ls7e_ard_3-0-0_095086_2016-08-28_final
2016-09-29 09:49:09	ga_ls7e_ard_3-0-0_095072_2016-09-29_final
2016-12-02 09:53:42	ga_ls7e_ard_3-0-0_095084_2016-12-02_final
2017-02-20 09:48:24	ga_ls7e_ard_3-0-0_095072_2017-02-20_final
2017-05-07 11:54:52	ga_ls7e_ard_3-0-0_115078_2017-05-07_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-05-26 11:52:03	ga_ls7e_ard_3-0-0_115077_2018-05-26_final
2019-01-25 09:44:52	ga_ls7e_ard_3-0-0_095082_2019-01-25_final
2019-09-22 09:32:46	ga_ls7e_ard_3-1-0_095074_2019-09-22_final
2019-11-25 09:33:10	ga_ls7e_ard_3-1-0_095082_2019-11-25_final
2020-02-13 09:29:08	ga_ls7e_ard_3-1-0_095082_2020-02-12_final
2020-06-20 09:23:46	ga_ls7e_ard_3-1-0_095087_2020-06-19_final
2021-02-08 10:38:51	ga_ls7e_ard_3-2-0_110082_2021-02-08_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-17 10:30:24	ga_ls7e_ard_3-2-0_109078_2021-02-17_final
2021-02-19 10:16:18	ga_ls7e_ard_3-2-0_107074_2021-02-19_final
2021-02-20 09:23:24	ga_ls7e_ard_3-2-0_098081_2021-02-19_final
2021-02-28 10:08:14	ga_ls7e_ard_3-2-0_106071_2021-02-28_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-24 10:56:58	ga_ls7e_ard_3-2-0_114074_2021-03-24_final
2021-04-05 09:40:38	ga_ls7e_ard_3-2-0_102071_2021-04-05_final
2021-05-03 08:26:55	ga_ls7e_ard_3-2-0_090078_2021-05-02_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-23 09:39:47	ga_ls7e_ard_3-2-0_102079_2021-05-23_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-05-27 09:11:32	ga_ls7e_ard_3-2-0_098071_2021-05-26_final
2021-05-28 09:57:53	ga_ls7e_ard_3-2-0_105079_2021-05-28_final
2021-06-01 09:30:50	ga_ls7e_ard_3-2-0_101074_2021-06-01_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-08 09:36:03	ga_ls7e_ard_3-2-0_102073_2021-06-08_final
2021-06-13 09:52:35	ga_ls7e_ard_3-2-0_105069_2021-06-13_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-30 08:59:09	ga_ls7e_ard_3-2-0_096078_2021-06-29_final
2021-07-05 09:18:04	ga_ls7e_ard_3-2-0_099080_2021-07-04_final
2021-07-09 10:26:42	ga_ls7e_ard_3-2-0_111067_2021-07-09_final
2021-07-13 08:28:21	ga_ls7e_ard_3-2-0_091081_2021-07-12_final
2021-07-13 08:28:45	ga_ls7e_ard_3-2-0_091082_2021-07-12_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-30 09:06:09	ga_ls7e_ard_3-2-0_098071_2021-07-29_final
2021-08-04 09:25:50	ga_ls7e_ard_3-2-0_101075_2021-08-03_final
2021-08-05 10:07:25	ga_ls7e_ard_3-2-0_108071_2021-08-05_final
2021-08-15 09:07:07	ga_ls7e_ard_3-2-0_098077_2021-08-14_final
2021-08-21 08:31:07	ga_ls7e_ard_3-2-0_092081_2021-08-20_final
2021-09-06 10:05:25	ga_ls7e_ard_3-2-0_108073_2021-09-06_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-10-02 09:03:42	ga_ls7e_ard_3-2-0_098079_2021-10-01_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-18 08:58:17	ga_ls7e_ard_3-2-0_098069_2021-10-17_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-10-26 08:11:43	ga_ls7e_ard_3-2-0_090078_2021-10-25_final
2021-10-27 08:53:17	ga_ls7e_ard_3-2-0_097074_2021-10-26_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-10-30 09:21:55	ga_ls7e_ard_3-2-0_102069_2021-10-29_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-18 09:51:47	ga_ls7e_ard_3-2-1_107071_2021-11-18_final
2021-11-20 09:39:38	ga_ls7e_ard_3-2-1_105072_2021-11-20_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-11-28 08:51:25	ga_ls7e_ard_3-2-1_097077_2021-11-27_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-12-05 10:35:02	ga_ls7e_ard_3-2-1_114075_2021-12-05_final
2021-12-06 09:40:07	ga_ls7e_ard_3-2-1_105077_2021-12-06_final
2021-12-22 09:36:11	ga_ls7e_ard_3-2-1_105071_2021-12-22_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-21 08:12:20	ga_ls7e_ard_3-2-1_091085_2022-01-20_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-02-15 09:37:43	ga_ls7e_ard_3-2-1_106073_2022-02-15_final
2022-02-23 10:29:11	ga_ls7e_ard_3-2-1_114080_2022-02-23_final
2022-03-02 10:32:18	ga_ls7e_ard_3-2-1_115074_2022-03-02_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years