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
1999-10-17 09:44:32	ga_ls7e_ard_3-0-0_095085_1999-10-17_final
2000-09-17 09:42:08	ga_ls7e_ard_3-0-0_095085_2000-09-17_final
2005-10-17 09:41:08	ga_ls7e_ard_3-1-0_095086_2005-10-17_final
2005-12-04 09:40:47	ga_ls7e_ard_3-0-0_095084_2005-12-04_final
2007-01-24 09:41:28	ga_ls7e_ard_3-0-0_095084_2007-01-24_final
2007-10-07 09:42:04	ga_ls7e_ard_3-0-0_095087_2007-10-07_final
2011-12-05 09:44:57	ga_ls7e_ard_3-0-0_095084_2011-12-05_final
2012-05-29 09:46:05	ga_ls7e_ard_3-0-0_095085_2012-05-29_final
2012-05-29 09:46:29	ga_ls7e_ard_3-0-0_095086_2012-05-29_final
2012-10-04 09:47:37	ga_ls7e_ard_3-0-0_095086_2012-10-04_final
2012-12-23 09:47:44	ga_ls7e_ard_3-0-0_095085_2012-12-23_final
2013-06-17 09:47:15	ga_ls7e_ard_3-0-0_095085_2013-06-17_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-09-08 09:49:14	ga_ls7e_ard_3-0-0_095085_2014-09-08_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2017-01-19 09:53:41	ga_ls7e_ard_3-0-0_095085_2017-01-19_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-09-03 09:50:11	ga_ls7e_ard_3-0-0_095086_2018-09-03_final
2018-12-24 09:46:40	ga_ls7e_ard_3-0-0_095084_2018-12-24_final
2018-12-24 09:47:28	ga_ls7e_ard_3-0-0_095086_2018-12-24_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-03-14 09:44:11	ga_ls7e_ard_3-1-0_095084_2019-03-14_final
2019-08-05 09:40:02	ga_ls7e_ard_3-0-0_095087_2019-08-05_final
2019-12-11 09:33:10	ga_ls7e_ard_3-1-0_095084_2019-12-11_final
2020-01-12 09:32:20	ga_ls7e_ard_3-1-0_095086_2020-01-12_final
2020-11-11 09:13:22	ga_ls7e_ard_3-1-0_095084_2020-11-10_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-12 08:35:21	ga_ls7e_ard_3-2-0_090083_2021-02-11_final
2021-02-13 10:56:37	ga_ls7e_ard_3-2-0_113081_2021-02-13_final
2021-02-28 10:10:37	ga_ls7e_ard_3-2-0_106077_2021-02-28_final
2021-03-03 09:03:36	ga_ls7e_ard_3-2-0_095080_2021-03-02_final
2021-03-10 09:10:50	ga_ls7e_ard_3-2-0_096084_2021-03-09_final
2021-04-01 10:07:16	ga_ls7e_ard_3-2-0_106075_2021-04-01_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-18 10:51:31	ga_ls7e_ard_3-2-0_113081_2021-04-18_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-05 09:53:40	ga_ls7e_ard_3-2-0_104079_2021-05-05_final
2021-05-11 10:52:58	ga_ls7e_ard_3-2-0_114074_2021-05-11_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-06-06 09:48:34	ga_ls7e_ard_3-2-0_104073_2021-06-06_final
2021-06-07 08:57:39	ga_ls7e_ard_3-2-0_095085_2021-06-06_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-06-13 09:57:46	ga_ls7e_ard_3-2-0_105082_2021-06-13_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-06-30 09:00:45	ga_ls7e_ard_3-2-0_096082_2021-06-29_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-08 09:44:43	ga_ls7e_ard_3-2-0_104070_2021-07-08_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-07-31 09:50:31	ga_ls7e_ard_3-2-0_105074_2021-07-31_final
2021-08-04 09:28:38	ga_ls7e_ard_3-2-0_101082_2021-08-03_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-08-20 09:27:37	ga_ls7e_ard_3-2-0_101083_2021-08-19_final
2021-08-26 08:48:49	ga_ls7e_ard_3-2-0_095080_2021-08-25_final
2021-08-30 08:24:57	ga_ls7e_ard_3-2-0_091083_2021-08-29_final
2021-09-01 09:48:06	ga_ls7e_ard_3-2-0_105075_2021-09-01_final
2021-09-02 08:54:00	ga_ls7e_ard_3-2-0_096079_2021-09-01_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-18 09:03:53	ga_ls7e_ard_3-2-0_098083_2021-10-17_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-09 08:23:33	ga_ls7e_ard_3-2-0_092080_2021-11-08_final
2021-11-11 09:45:05	ga_ls7e_ard_3-2-0_106068_2021-11-11_final
2021-11-12 08:52:34	ga_ls7e_ard_3-2-0_097076_2021-11-11_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-21 08:46:42	ga_ls7e_ard_3-2-1_096079_2021-11-20_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-11-28 10:29:06	ga_ls7e_ard_3-2-1_113074_2021-11-28_final
2021-11-28 10:29:30	ga_ls7e_ard_3-2-1_113075_2021-11-28_final
2021-11-28 10:32:18	ga_ls7e_ard_3-2-1_113082_2021-11-28_final
2021-12-07 08:48:00	ga_ls7e_ard_3-2-1_096086_2021-12-06_final
2021-12-09 08:33:27	ga_ls7e_ard_3-2-1_094081_2021-12-08_final
2021-12-16 10:19:02	ga_ls7e_ard_3-2-1_111084_2021-12-16_final
2021-12-21 08:57:49	ga_ls7e_ard_3-2-1_098083_2021-12-20_final
2021-12-23 10:21:44	ga_ls7e_ard_3-2-1_112077_2021-12-23_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2021-12-30 08:49:32	ga_ls7e_ard_3-2-1_097080_2021-12-29_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2021-12-30 10:29:12	ga_ls7e_ard_3-2-1_113082_2021-12-30_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-02-02 08:32:40	ga_ls7e_ard_3-2-1_095077_2022-02-01_final
2022-02-02 08:34:40	ga_ls7e_ard_3-2-1_095082_2022-02-01_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-06 08:32:42	ga_ls7e_ard_3-2-1_095085_2022-03-05_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