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
1999-08-30 09:42:57	ga_ls7e_ard_3-0-0_095081_1999-08-30_final
1999-12-20 09:44:07	ga_ls7e_ard_3-0-0_095084_1999-12-20_final
2000-02-06 09:42:45	ga_ls7e_ard_3-0-0_095081_2000-02-06_final
2000-02-06 09:43:57	ga_ls7e_ard_3-0-0_095084_2000-02-06_final
2001-02-08 09:41:59	ga_ls7e_ard_3-0-0_095085_2001-02-08_final
2001-03-12 09:40:19	ga_ls7e_ard_3-0-0_095081_2001-03-12_final
2001-03-28 09:41:21	ga_ls7e_ard_3-0-0_095084_2001-03-28_final
2001-12-09 09:39:47	ga_ls7e_ard_3-0-0_095084_2001-12-09_final
2002-12-12 09:39:50	ga_ls7e_ard_3-0-0_095085_2002-12-12_final
2007-08-20 09:39:12	ga_ls7e_ard_3-1-0_095079_2007-08-20_final
2008-06-03 09:39:27	ga_ls7e_ard_3-0-0_095080_2008-06-03_final
2009-01-29 09:39:45	ga_ls7e_ard_3-0-0_095081_2009-01-29_final
2009-04-19 09:39:33	ga_ls7e_ard_3-1-0_095079_2009-04-19_final
2011-05-27 09:42:47	ga_ls7e_ard_3-1-0_095079_2011-05-27_final
2011-10-18 09:42:30	ga_ls7e_ard_3-1-0_095079_2011-10-18_final
2012-04-27 09:45:56	ga_ls7e_ard_3-0-0_095085_2012-04-27_final
2013-02-09 09:45:48	ga_ls7e_ard_3-0-0_095080_2013-02-09_final
2013-08-04 09:45:39	ga_ls7e_ard_3-0-0_095082_2013-08-04_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2015-02-15 09:47:53	ga_ls7e_ard_3-1-0_095079_2015-02-15_final
2015-07-25 09:50:09	ga_ls7e_ard_3-0-0_095082_2015-07-25_final
2015-10-29 09:51:37	ga_ls7e_ard_3-0-0_095084_2015-10-29_final
2016-02-18 09:51:28	ga_ls7e_ard_3-0-0_095080_2016-02-18_final
2017-03-24 09:52:13	ga_ls7e_ard_3-0-0_095081_2017-03-24_final
2017-08-31 09:51:25	ga_ls7e_ard_3-0-0_095078_2017-08-31_final
2018-02-07 09:51:11	ga_ls7e_ard_3-0-0_095080_2018-02-07_final
2018-05-30 09:48:47	ga_ls7e_ard_3-0-0_095078_2018-05-30_final
2018-09-03 09:47:47	ga_ls7e_ard_3-0-0_095080_2018-09-03_final
2018-10-21 09:45:52	ga_ls7e_ard_3-0-0_095078_2018-10-21_final
2019-02-26 09:42:18	ga_ls7e_ard_3-1-0_095078_2019-02-26_final
2019-11-25 09:31:34	ga_ls7e_ard_3-1-0_095078_2019-11-25_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-15 10:42:31	ga_ls7e_ard_3-2-0_111077_2021-02-15_final
2021-02-24 08:55:58	ga_ls7e_ard_3-2-0_094075_2021-02-23_final
2021-03-14 10:22:17	ga_ls7e_ard_3-2-0_108078_2021-03-14_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-04-05 09:43:49	ga_ls7e_ard_3-2-0_102079_2021-04-05_final
2021-04-15 10:19:40	ga_ls7e_ard_3-2-0_108078_2021-04-15_final
2021-04-19 09:52:13	ga_ls7e_ard_3-2-0_104072_2021-04-19_final
2021-04-21 09:41:41	ga_ls7e_ard_3-2-0_102077_2021-04-21_final
2021-04-22 08:47:58	ga_ls7e_ard_3-2-0_093082_2021-04-21_final
2021-04-26 09:59:48	ga_ls7e_ard_3-2-0_105077_2021-04-26_final
2021-04-29 10:30:26	ga_ls7e_ard_3-2-0_110077_2021-04-29_final
2021-05-07 09:39:56	ga_ls7e_ard_3-2-0_102076_2021-05-07_final
2021-05-08 10:24:19	ga_ls7e_ard_3-2-0_109079_2021-05-08_final
2021-05-14 09:44:20	ga_ls7e_ard_3-2-0_103073_2021-05-14_final
2021-05-17 08:37:42	ga_ls7e_ard_3-2-0_092077_2021-05-16_final
2021-05-20 10:46:25	ga_ls7e_ard_3-2-0_113075_2021-05-20_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-05-21 09:50:19	ga_ls7e_ard_3-2-0_104074_2021-05-21_final
2021-05-28 09:54:42	ga_ls7e_ard_3-2-0_105071_2021-05-28_final
2021-06-06 09:49:22	ga_ls7e_ard_3-2-0_104075_2021-06-06_final
2021-06-08 09:38:26	ga_ls7e_ard_3-2-0_102079_2021-06-08_final
2021-06-09 08:41:56	ga_ls7e_ard_3-2-0_093077_2021-06-08_final
2021-06-13 09:53:23	ga_ls7e_ard_3-2-0_105071_2021-06-13_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-20 10:10:48	ga_ls7e_ard_3-2-0_108076_2021-07-20_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-07-24 09:42:57	ga_ls7e_ard_3-2-0_104069_2021-07-24_final
2021-07-24 09:47:44	ga_ls7e_ard_3-2-0_104081_2021-07-24_final
2021-08-02 09:39:34	ga_ls7e_ard_3-2-0_103078_2021-08-02_final
2021-08-09 09:44:44	ga_ls7e_ard_3-2-0_104077_2021-08-09_final
2021-08-10 08:49:49	ga_ls7e_ard_3-2-0_095079_2021-08-09_final
2021-08-15 09:05:55	ga_ls7e_ard_3-2-0_098074_2021-08-14_final
2021-08-17 08:54:34	ga_ls7e_ard_3-2-0_096077_2021-08-16_final
2021-08-24 09:02:09	ga_ls7e_ard_3-2-0_097082_2021-08-23_final
2021-08-25 09:40:56	ga_ls7e_ard_3-2-0_104071_2021-08-25_final
2021-08-25 09:42:32	ga_ls7e_ard_3-2-0_104075_2021-08-25_final
2021-08-26 10:26:06	ga_ls7e_ard_3-2-0_111076_2021-08-26_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-05 09:25:02	ga_ls7e_ard_3-2-0_101080_2021-09-04_final
2021-09-19 09:35:45	ga_ls7e_ard_3-2-0_103079_2021-09-19_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-05 09:33:56	ga_ls7e_ard_3-2-0_103078_2021-10-05_final
2021-10-06 08:39:49	ga_ls7e_ard_3-2-0_094082_2021-10-05_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-14 09:26:10	ga_ls7e_ard_3-2-0_102076_2021-10-13_final
2021-10-29 10:22:01	ga_ls7e_ard_3-2-0_111080_2021-10-29_final
2021-11-15 09:24:46	ga_ls7e_ard_3-2-1_102080_2021-11-14_final
2021-12-06 09:40:55	ga_ls7e_ard_3-2-1_105079_2021-12-06_final
2021-12-14 08:49:31	ga_ls7e_ard_3-2-1_097076_2021-12-13_final
2021-12-20 09:51:32	ga_ls7e_ard_3-2-1_107078_2021-12-20_final
2021-12-22 09:38:58	ga_ls7e_ard_3-2-1_105078_2021-12-22_final
2022-01-22 08:51:06	ga_ls7e_ard_3-2-1_098074_2022-01-21_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-06 09:48:25	ga_ls7e_ard_3-2-1_107082_2022-02-06_final
2022-02-09 08:40:08	ga_ls7e_ard_3-2-1_096082_2022-02-08_final
2022-02-20 09:58:34	ga_ls7e_ard_3-2-1_109080_2022-02-20_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-03-06 08:30:42	ga_ls7e_ard_3-2-1_095080_2022-03-05_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_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