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
1999-10-10 09:31:16	ga_ls7e_ard_3-1-0_094067_1999-10-10_final
2000-09-17 09:37:21	ga_ls7e_ard_3-1-0_095073_2000-09-17_final
2004-02-11 10:16:59	ga_ls7e_ard_3-1-0_101083_2004-02-11_final
2004-05-12 09:57:20	ga_ls7e_ard_3-1-0_098080_2004-05-12_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-09-05 09:02:04	ga_ls7e_ard_3-1-0_089081_2005-09-04_final
2005-11-09 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-11-09_final
2005-12-01 10:45:10	ga_ls7e_ard_3-1-0_106075_2005-12-01_final
2005-12-04 09:36:24	ga_ls7e_ard_3-1-0_095073_2005-12-04_final
2006-04-20 09:28:13	ga_ls7e_ard_3-1-0_094067_2006-04-19_final
2006-10-17 10:45:05	ga_ls7e_ard_3-1-0_106075_2006-10-17_final
2006-10-25 09:57:46	ga_ls7e_ard_3-1-0_098080_2006-10-25_final
2007-02-27 09:30:31	ga_ls7e_ard_3-1-0_093087_2007-02-27_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2008-02-09 10:45:53	ga_ls7e_ard_3-1-0_106075_2008-02-09_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-06-15 11:09:32	ga_ls7e_ard_3-1-0_110072_2009-06-15_final
2010-01-06 09:07:29	ga_ls7e_ard_3-1-0_089089_2010-01-05_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-09-25 11:12:21	ga_ls7e_ard_3-1-0_110072_2011-09-25_final
2012-09-27 09:33:48	ga_ls7e_ard_3-1-0_094067_2012-09-27_final
2012-12-20 09:16:49	ga_ls7e_ard_3-1-0_090085_2012-12-19_final
2015-05-15 11:18:33	ga_ls7e_ard_3-1-0_110072_2015-05-15_final
2015-12-25 11:20:25	ga_ls7e_ard_3-1-0_110072_2015-12-25_final
2016-03-11 09:14:58	ga_ls7e_ard_3-1-0_089081_2016-03-10_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2017-07-07 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-07_final
2017-09-13 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-09-13_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-02-22 10:07:56	ga_ls7e_ard_3-1-0_099080_2019-02-22_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-03-03 10:00:41	ga_ls7e_ard_3-1-0_098078_2019-03-03_final
2019-03-12 11:35:05	ga_ls7e_ard_3-1-0_113083_2019-03-12_final
2019-03-27 10:48:32	ga_ls7e_ard_3-1-0_106076_2019-03-27_final
2019-09-18 09:55:41	ga_ls7e_ard_3-1-0_099069_2019-09-18_final
2019-09-22 11:10:51	ga_ls7e_ard_3-1-0_111072_2019-09-22_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-10-05 10:39:49	ga_ls7e_ard_3-1-0_106073_2019-10-05_final
2019-10-05 10:43:48	ga_ls7e_ard_3-1-0_106083_2019-10-05_final
2019-10-08 11:10:11	ga_ls7e_ard_3-1-0_111072_2019-10-08_final
2019-11-07 09:47:33	ga_ls7e_ard_3-1-0_097085_2019-11-07_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-11-25 11:09:15	ga_ls7e_ard_3-1-0_111075_2019-11-25_final
2019-11-30 09:47:28	ga_ls7e_ard_3-1-0_098072_2019-11-30_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-01-14 10:54:46	ga_ls7e_ard_3-1-0_109076_2020-01-14_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-01-28 11:06:02	ga_ls7e_ard_3-1-0_111075_2020-01-28_final
2020-02-06 10:56:12	ga_ls7e_ard_3-1-0_110067_2020-02-06_final
2020-02-11 09:36:48	ga_ls7e_ard_3-1-0_097070_2020-02-11_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-02-17 10:38:17	ga_ls7e_ard_3-1-0_107070_2020-02-17_final
2020-02-19 08:52:56	ga_ls7e_ard_3-1-0_089085_2020-02-18_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-27 09:40:21	ga_ls7e_ard_3-1-0_097081_2020-02-27_final
2020-03-21 09:41:17	ga_ls7e_ard_3-1-0_098071_2020-03-21_final
2020-03-29 10:32:16	ga_ls7e_ard_3-1-0_106076_2020-03-29_final
2020-04-06 09:43:59	ga_ls7e_ard_3-1-0_098080_2020-04-06_final
2020-04-29 09:44:25	ga_ls7e_ard_3-1-0_099069_2020-04-29_final
2020-08-19 09:42:48	ga_ls7e_ard_3-1-0_099082_2020-08-19_final
2020-09-13 09:29:00	ga_ls7e_ard_3-1-0_098067_2020-09-12_final
2020-09-24 10:51:00	ga_ls7e_ard_3-1-0_111073_2020-09-24_final
2020-10-07 10:18:53	ga_ls7e_ard_3-1-0_106072_2020-10-07_final
2020-10-08 11:06:04	ga_ls7e_ard_3-1-0_113082_2020-10-08_final
2020-10-15 09:32:07	ga_ls7e_ard_3-1-0_098080_2020-10-15_final
2020-10-22 09:34:39	ga_ls7e_ard_3-1-0_099072_2020-10-22_final
2020-11-03 09:58:34	ga_ls7e_ard_3-1-0_103072_2020-11-03_final
2020-11-10 10:02:41	ga_ls7e_ard_3-1-0_104068_2020-11-10_final
2020-11-11 09:12:34	ga_ls7e_ard_3-1-0_095082_2020-11-10_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-12-09 09:29:42	ga_ls7e_ard_3-1-0_099068_2020-12-08_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-25 11:10:34	ga_ls7e_ard_3-1-0_115076_2020-12-25_final
2020-12-27 11:00:52	ga_ls7e_ard_3-1-0_113083_2020-12-27_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-10 09:31:47	ga_ls7e_ard_3-1-0_099079_2021-01-10_final
2021-01-12 10:58:33	ga_ls7e_ard_3-1-0_113080_2021-01-12_final
2021-01-16 10:33:09	ga_ls7e_ard_3-1-0_109079_2021-01-16_final
2021-01-18 08:45:22	ga_ls7e_ard_3-1-0_091088_2021-01-17_final
2021-01-21 10:49:44	ga_ls7e_ard_3-2-0_112075_2021-01-21_final
2021-02-10 10:26:21	ga_ls7e_ard_3-2-0_108082_2021-02-10_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-03-29 09:37:25	ga_ls7e_ard_3-2-0_101077_2021-03-29_final
2021-03-31 09:22:54	ga_ls7e_ard_3-2-0_099072_2021-03-30_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-05-24 10:19:46	ga_ls7e_ard_3-2-0_109071_2021-05-24_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-06-18 10:13:54	ga_ls7e_ard_3-2-0_108077_2021-06-18_final
2021-06-20 09:58:35	ga_ls7e_ard_3-2-0_106070_2021-06-20_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-18 10:26:08	ga_ls7e_ard_3-2-0_110083_2021-07-18_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_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