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
1999-10-13 11:44:37	ga_ls7e_ard_3-0-0_115076_1999-10-13_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2001-05-11 11:41:34	ga_ls7e_ard_3-0-0_115076_2001-05-11_final
2001-12-05 11:41:16	ga_ls7e_ard_3-0-0_115079_2001-12-05_final
2002-11-06 11:40:41	ga_ls7e_ard_3-0-0_115079_2002-11-06_final
2002-12-24 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-12-24_final
2004-11-27 11:41:53	ga_ls7e_ard_3-0-0_115079_2004-11-27_final
2006-05-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-25_final
2006-12-03 11:41:42	ga_ls7e_ard_3-0-0_115076_2006-12-03_final
2008-04-28 11:42:05	ga_ls7e_ard_3-0-0_115077_2008-04-28_final
2009-02-10 11:42:39	ga_ls7e_ard_3-0-0_115079_2009-02-10_final
2009-11-25 11:43:08	ga_ls7e_ard_3-0-0_115078_2009-11-25_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-11-15 11:45:58	ga_ls7e_ard_3-0-0_115078_2011-11-15_final
2015-01-10 11:50:58	ga_ls7e_ard_3-0-0_115078_2015-01-10_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2016-01-13 11:54:00	ga_ls7e_ard_3-0-0_115078_2016-01-13_final
2019-05-13 11:42:26	ga_ls7e_ard_3-0-0_115076_2019-05-13_final
2020-11-22 10:32:33	ga_ls7e_ard_3-1-0_108083_2020-11-22_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2020-12-05 09:59:54	ga_ls7e_ard_3-1-0_103081_2020-12-05_final
2020-12-08 08:51:42	ga_ls7e_ard_3-1-0_092081_2020-12-07_final
2020-12-10 08:39:35	ga_ls7e_ard_3-1-0_090082_2020-12-09_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2020-12-24 08:51:17	ga_ls7e_ard_3-1-0_092083_2020-12-23_final
2020-12-29 09:09:29	ga_ls7e_ard_3-1-0_095083_2020-12-28_final
2021-01-05 10:51:40	ga_ls7e_ard_3-1-0_112077_2021-01-05_final
2021-01-19 09:26:33	ga_ls7e_ard_3-1-0_098083_2021-01-18_final
2021-01-28 10:57:48	ga_ls7e_ard_3-2-0_113081_2021-01-28_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-17 08:49:56	ga_ls7e_ard_3-2-0_093074_2021-02-16_final
2021-02-20 09:21:48	ga_ls7e_ard_3-2-0_098077_2021-02-19_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-13 09:37:54	ga_ls7e_ard_3-2-0_101075_2021-03-13_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-04-05 09:45:01	ga_ls7e_ard_3-2-0_102082_2021-04-05_final
2021-04-10 10:01:57	ga_ls7e_ard_3-2-0_105079_2021-04-10_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-06 08:55:10	ga_ls7e_ard_3-2-0_095072_2021-05-05_final
2021-05-20 09:10:44	ga_ls7e_ard_3-2-0_097083_2021-05-19_final
2021-05-28 08:19:49	ga_ls7e_ard_3-2-0_089081_2021-05-27_final
2021-06-01 09:33:37	ga_ls7e_ard_3-2-0_101081_2021-06-01_final
2021-06-25 08:41:26	ga_ls7e_ard_3-2-0_093079_2021-06-24_final
2021-06-30 08:59:33	ga_ls7e_ard_3-2-0_096079_2021-06-29_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-07-21 09:12:43	ga_ls7e_ard_3-2-0_099070_2021-07-20_final
2021-07-23 09:04:34	ga_ls7e_ard_3-2-0_097081_2021-07-22_final
2021-07-29 10:07:02	ga_ls7e_ard_3-2-0_107084_2021-07-29_final
2021-08-04 09:27:02	ga_ls7e_ard_3-2-0_101078_2021-08-03_final
2021-08-06 09:10:30	ga_ls7e_ard_3-2-0_099068_2021-08-05_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-10 10:26:42	ga_ls7e_ard_3-2-0_111074_2021-08-10_final
2021-08-12 10:14:58	ga_ls7e_ard_3-2-0_109076_2021-08-12_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-09-04 10:17:57	ga_ls7e_ard_3-2-0_110073_2021-09-04_final
2021-09-05 09:25:50	ga_ls7e_ard_3-2-0_101082_2021-09-04_final
2021-09-06 08:27:44	ga_ls7e_ard_3-2-0_092076_2021-09-05_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-17 09:47:06	ga_ls7e_ard_3-2-0_105076_2021-09-17_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-08 10:02:35	ga_ls7e_ard_3-2-0_108073_2021-10-08_final
2021-10-20 08:46:57	ga_ls7e_ard_3-2-0_096072_2021-10-19_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-26 08:12:55	ga_ls7e_ard_3-2-0_090081_2021-10-25_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-12-02 08:26:20	ga_ls7e_ard_3-2-1_093077_2021-12-01_final
2021-12-12 09:00:28	ga_ls7e_ard_3-2-1_099072_2021-12-11_final
2021-12-13 08:09:33	ga_ls7e_ard_3-2-1_090084_2021-12-12_final
2021-12-13 09:47:37	ga_ls7e_ard_3-2-1_106082_2021-12-13_final
2021-12-14 08:52:42	ga_ls7e_ard_3-2-1_097084_2021-12-13_final
2021-12-20 09:53:32	ga_ls7e_ard_3-2-1_107083_2021-12-20_final
2021-12-27 08:18:56	ga_ls7e_ard_3-2-1_092080_2021-12-26_final
2022-01-02 09:15:44	ga_ls7e_ard_3-2-1_102069_2022-01-01_final
2022-01-10 08:30:43	ga_ls7e_ard_3-2-1_094082_2022-01-09_final
2022-01-13 08:56:09	ga_ls7e_ard_3-2-1_099069_2022-01-12_final
2022-01-13 09:00:32	ga_ls7e_ard_3-2-1_099080_2022-01-12_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-18 09:17:24	ga_ls7e_ard_3-2-1_102077_2022-01-17_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-01-21 09:50:48	ga_ls7e_ard_3-2-1_107084_2022-01-21_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-01-30 08:02:28	ga_ls7e_ard_3-2-1_090078_2022-01-29_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-07 08:51:30	ga_ls7e_ard_3-2-1_098079_2022-02-06_final
2022-02-09 08:38:56	ga_ls7e_ard_3-2-1_096079_2022-02-08_final
2022-02-10 09:18:30	ga_ls7e_ard_3-2-1_103070_2022-02-09_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