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
1999-07-29 09:43:16	ga_ls7e_ard_3-0-0_095082_1999-07-29_final
1999-08-30 09:43:21	ga_ls7e_ard_3-0-0_095082_1999-08-30_final
1999-11-02 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-11-02_final
2000-06-13 09:43:27	ga_ls7e_ard_3-0-0_095085_2000-06-13_final
2001-02-08 09:42:47	ga_ls7e_ard_3-0-0_095087_2001-02-08_final
2003-03-02 09:39:29	ga_ls7e_ard_3-0-0_095083_2003-03-02_final
2003-03-18 09:39:54	ga_ls7e_ard_3-0-0_095084_2003-03-18_final
2006-04-27 09:40:49	ga_ls7e_ard_3-0-0_095083_2006-04-27_final
2006-12-23 09:39:48	ga_ls7e_ard_3-0-0_095080_2006-12-23_final
2009-01-29 09:40:09	ga_ls7e_ard_3-0-0_095082_2009-01-29_final
2009-05-21 09:42:02	ga_ls7e_ard_3-0-0_095085_2009-05-21_final
2009-08-25 09:39:46	ga_ls7e_ard_3-0-0_095080_2009-08-25_final
2010-08-28 09:43:03	ga_ls7e_ard_3-0-0_095083_2010-08-28_final
2011-03-08 09:44:45	ga_ls7e_ard_3-0-0_095084_2011-03-08_final
2011-08-31 09:44:09	ga_ls7e_ard_3-0-0_095083_2011-08-31_final
2012-12-07 09:45:35	ga_ls7e_ard_3-0-0_095080_2012-12-07_final
2013-02-25 09:47:20	ga_ls7e_ard_3-0-0_095084_2013-02-25_final
2015-01-30 09:48:15	ga_ls7e_ard_3-0-0_095080_2015-01-30_final
2015-02-15 09:50:16	ga_ls7e_ard_3-0-0_095085_2015-02-15_final
2015-06-07 09:50:22	ga_ls7e_ard_3-0-0_095083_2015-06-07_final
2016-03-21 09:51:43	ga_ls7e_ard_3-0-0_095080_2016-03-21_final
2016-05-24 09:52:50	ga_ls7e_ard_3-0-0_095082_2016-05-24_final
2016-12-18 09:53:13	ga_ls7e_ard_3-0-0_095083_2016-12-18_final
2017-06-12 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-06-12_final
2018-03-11 09:50:51	ga_ls7e_ard_3-0-0_095080_2018-03-11_final
2018-04-28 09:52:06	ga_ls7e_ard_3-0-0_095085_2018-04-28_final
2019-08-05 09:37:14	ga_ls7e_ard_3-0-0_095080_2019-08-05_final
2020-09-08 09:16:47	ga_ls7e_ard_3-1-0_095082_2020-09-07_final
2021-02-13 09:16:09	ga_ls7e_ard_3-2-0_097077_2021-02-12_final
2021-03-02 09:58:30	ga_ls7e_ard_3-2-0_104078_2021-03-02_final
2021-03-09 10:04:08	ga_ls7e_ard_3-2-0_105078_2021-03-09_final
2021-03-12 10:34:48	ga_ls7e_ard_3-2-0_110078_2021-03-12_final
2021-03-12 10:35:12	ga_ls7e_ard_3-2-0_110079_2021-03-12_final
2021-03-16 10:10:10	ga_ls7e_ard_3-2-0_106079_2021-03-16_final
2021-03-28 08:53:50	ga_ls7e_ard_3-2-0_094076_2021-03-27_final
2021-03-31 09:23:18	ga_ls7e_ard_3-2-0_099073_2021-03-30_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-03 09:55:33	ga_ls7e_ard_3-2-0_104077_2021-04-03_final
2021-04-08 08:36:47	ga_ls7e_ard_3-2-0_091082_2021-04-07_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-22 08:47:10	ga_ls7e_ard_3-2-0_093080_2021-04-21_final
2021-05-06 08:56:46	ga_ls7e_ard_3-2-0_095076_2021-05-05_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-13 09:01:10	ga_ls7e_ard_3-2-0_096073_2021-05-12_final
2021-05-17 08:39:42	ga_ls7e_ard_3-2-0_092082_2021-05-16_final
2021-05-26 10:10:01	ga_ls7e_ard_3-2-0_107078_2021-05-26_final
2021-06-12 09:14:35	ga_ls7e_ard_3-2-0_098082_2021-06-11_final
2021-06-17 09:29:32	ga_ls7e_ard_3-2-0_101074_2021-06-16_final
2021-06-25 10:19:54	ga_ls7e_ard_3-2-0_109078_2021-06-25_final
2021-06-30 10:38:50	ga_ls7e_ard_3-2-0_112080_2021-06-30_final
2021-07-03 09:28:36	ga_ls7e_ard_3-2-0_101075_2021-07-02_final
2021-07-06 08:22:22	ga_ls7e_ard_3-2-0_090080_2021-07-05_final
2021-07-07 10:42:49	ga_ls7e_ard_3-2-0_113076_2021-07-07_final
2021-07-09 08:52:37	ga_ls7e_ard_3-2-0_095079_2021-07-08_final
2021-07-23 10:41:51	ga_ls7e_ard_3-2-0_113077_2021-07-23_final
2021-07-23 10:42:15	ga_ls7e_ard_3-2-0_113078_2021-07-23_final
2021-07-24 09:45:44	ga_ls7e_ard_3-2-0_104076_2021-07-24_final
2021-08-03 08:43:04	ga_ls7e_ard_3-2-0_094076_2021-08-02_final
2021-08-11 09:31:24	ga_ls7e_ard_3-2-0_102075_2021-08-11_final
2021-08-12 08:35:41	ga_ls7e_ard_3-2-0_093075_2021-08-11_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-12 10:13:22	ga_ls7e_ard_3-2-0_109072_2021-08-12_final
2021-08-28 10:14:22	ga_ls7e_ard_3-2-0_109078_2021-08-28_final
2021-09-01 09:48:54	ga_ls7e_ard_3-2-0_105077_2021-09-01_final
2021-09-16 09:03:08	ga_ls7e_ard_3-2-0_098074_2021-09-15_final
2021-09-18 08:52:11	ga_ls7e_ard_3-2-0_096078_2021-09-17_final
2021-09-24 09:53:03	ga_ls7e_ard_3-2-0_106077_2021-09-24_final
2021-09-25 10:38:13	ga_ls7e_ard_3-2-0_113082_2021-09-25_final
2021-10-02 09:02:06	ga_ls7e_ard_3-2-0_098075_2021-10-01_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-17 08:21:54	ga_ls7e_ard_3-2-0_091086_2021-10-16_final
2021-10-17 09:56:48	ga_ls7e_ard_3-2-0_107076_2021-10-17_final
2021-10-24 10:00:44	ga_ls7e_ard_3-2-0_108072_2021-10-24_final
2021-11-05 08:46:16	ga_ls7e_ard_3-2-0_096074_2021-11-04_final
2021-11-14 08:40:01	ga_ls7e_ard_3-2-1_095076_2021-11-13_final
2021-11-16 08:27:51	ga_ls7e_ard_3-2-1_093077_2021-11-15_final
2021-11-23 08:32:33	ga_ls7e_ard_3-2-1_094075_2021-11-22_final
2021-11-28 08:53:49	ga_ls7e_ard_3-2-1_097083_2021-11-27_final
2021-12-05 08:55:45	ga_ls7e_ard_3-2-1_098074_2021-12-04_final
2021-12-10 09:16:37	ga_ls7e_ard_3-2-1_101081_2021-12-09_final
2021-12-14 10:28:47	ga_ls7e_ard_3-2-1_113077_2021-12-14_final
2021-12-21 08:57:01	ga_ls7e_ard_3-2-1_098081_2021-12-20_final
2021-12-24 09:24:25	ga_ls7e_ard_3-2-1_103073_2021-12-23_final
2022-01-03 10:02:29	ga_ls7e_ard_3-2-1_109078_2022-01-03_final
2022-01-10 08:29:07	ga_ls7e_ard_3-2-1_094078_2022-01-09_final
2022-01-13 08:58:08	ga_ls7e_ard_3-2-1_099074_2022-01-12_final
2022-01-14 09:43:18	ga_ls7e_ard_3-2-1_106079_2022-01-14_final
2022-01-17 10:13:31	ga_ls7e_ard_3-2-1_111078_2022-01-17_final
2022-01-22 08:50:42	ga_ls7e_ard_3-2-1_098073_2022-01-21_final
2022-02-22 09:43:13	ga_ls7e_ard_3-2-1_107073_2022-02-22_final
2022-02-25 08:36:09	ga_ls7e_ard_3-2-1_096076_2022-02-24_final
2022-02-25 10:15:02	ga_ls7e_ard_3-2-1_112076_2022-02-25_final
2022-02-27 08:23:12	ga_ls7e_ard_3-2-1_094075_2022-02-26_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-20 08:42:04	ga_ls7e_ard_3-2-1_097081_2022-03-19_final
2022-03-30 09:15:48	ga_ls7e_ard_3-2-1_103075_2022-03-29_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_2022-04-04_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_2022-04-05_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