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
2000-02-22 09:43:25	ga_ls7e_ard_3-0-0_095083_2000-02-22_final
2001-02-08 09:38:00	ga_ls7e_ard_3-0-0_095075_2001-02-08_final
2007-05-16 09:37:34	ga_ls7e_ard_3-0-0_095074_2007-05-16_final
2007-06-17 09:41:03	ga_ls7e_ard_3-0-0_095083_2007-06-17_final
2007-09-21 09:42:11	ga_ls7e_ard_3-0-0_095087_2007-09-21_final
2008-02-28 09:37:49	ga_ls7e_ard_3-0-0_095075_2008-02-28_final
2008-11-26 09:41:17	ga_ls7e_ard_3-0-0_095086_2008-11-26_final
2011-02-04 09:43:48	ga_ls7e_ard_3-0-0_095082_2011-02-04_final
2011-05-11 09:44:47	ga_ls7e_ard_3-0-0_095084_2011-05-11_final
2015-11-30 09:53:17	ga_ls7e_ard_3-0-0_095087_2015-11-30_final
2016-01-17 09:54:03	ga_ls7e_ard_3-0-0_095087_2016-01-17_final
2016-05-24 09:54:26	ga_ls7e_ard_3-0-0_095086_2016-05-24_final
2017-02-04 09:52:23	ga_ls7e_ard_3-0-0_095082_2017-02-04_final
2017-06-28 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-06-28_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2019-10-08 09:35:18	ga_ls7e_ard_3-1-0_095082_2019-10-08_final
2021-02-18 09:34:42	ga_ls7e_ard_3-2-0_100078_2021-02-18_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-03-04 09:47:35	ga_ls7e_ard_3-2-0_102082_2021-03-04_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-03-27 09:46:21	ga_ls7e_ard_3-2-0_103068_2021-03-27_final
2021-04-06 10:25:48	ga_ls7e_ard_3-2-0_109076_2021-04-06_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-04-24 08:36:38	ga_ls7e_ard_3-2-0_091085_2021-04-23_final
2021-04-28 09:45:16	ga_ls7e_ard_3-2-0_103072_2021-04-28_final
2021-04-30 09:37:08	ga_ls7e_ard_3-2-0_101083_2021-04-30_final
2021-05-01 08:42:38	ga_ls7e_ard_3-2-0_092086_2021-04-30_final
2021-05-08 10:23:07	ga_ls7e_ard_3-2-0_109076_2021-05-08_final
2021-05-10 10:08:12	ga_ls7e_ard_3-2-0_107070_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-26 10:12:01	ga_ls7e_ard_3-2-0_107083_2021-05-26_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-14 10:37:45	ga_ls7e_ard_3-2-0_112074_2021-06-14_final
2021-06-19 09:19:00	ga_ls7e_ard_3-2-0_099079_2021-06-18_final
2021-06-23 10:30:26	ga_ls7e_ard_3-2-0_111073_2021-06-23_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-06-29 08:19:10	ga_ls7e_ard_3-2-0_089086_2021-06-28_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-12 09:24:51	ga_ls7e_ard_3-2-0_100083_2021-07-11_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-07-16 10:38:16	ga_ls7e_ard_3-2-0_112082_2021-07-16_final
2021-07-25 10:28:07	ga_ls7e_ard_3-2-0_111074_2021-07-25_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-23 09:57:03	ga_ls7e_ard_3-2-0_106080_2021-08-23_final
2021-08-25 09:45:19	ga_ls7e_ard_3-2-0_104082_2021-08-25_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-08-29 09:21:04	ga_ls7e_ard_3-2-0_100084_2021-08-28_final
2021-08-30 09:58:39	ga_ls7e_ard_3-2-0_107070_2021-08-30_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-10-02 09:03:18	ga_ls7e_ard_3-2-0_098078_2021-10-01_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-11-02 09:56:07	ga_ls7e_ard_3-2-0_107078_2021-11-02_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-10 09:02:44	ga_ls7e_ard_3-2-0_099070_2021-11-09_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2021-11-23 10:11:01	ga_ls7e_ard_3-2-1_110074_2021-11-23_final
2021-11-25 09:56:53	ga_ls7e_ard_3-2-1_108070_2021-11-25_final
2021-11-28 10:29:06	ga_ls7e_ard_3-2-1_113074_2021-11-28_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-28 10:40:10	ga_ls7e_ard_3-2-1_115078_2021-12-28_final
2021-12-30 08:45:33	ga_ls7e_ard_3-2-1_097070_2021-12-29_final
2021-12-30 08:49:56	ga_ls7e_ard_3-2-1_097081_2021-12-29_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-13 09:00:32	ga_ls7e_ard_3-2-1_099080_2022-01-12_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-23 07:56:59	ga_ls7e_ard_3-2-1_089078_2022-01-22_final
2022-01-31 10:22:55	ga_ls7e_ard_3-2-1_113074_2022-01-31_final
2022-02-03 09:15:26	ga_ls7e_ard_3-2-1_102076_2022-02-02_final
2022-02-03 09:17:50	ga_ls7e_ard_3-2-1_102082_2022-02-02_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-22 09:42:50	ga_ls7e_ard_3-2-1_107072_2022-02-22_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-04 08:40:28	ga_ls7e_ard_3-2-1_097073_2022-03-03_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-03-28 09:25:34	ga_ls7e_ard_3-2-1_105068_2022-03-27_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_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