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
2000-04-24 11:33:09	ga_ls7e_ard_3-0-0_113080_2000-04-24_final
2000-09-29 11:42:03	ga_ls7e_ard_3-0-0_115076_2000-09-29_final
2000-11-09 11:36:08	ga_ls7e_ard_3-0-0_114077_2000-11-09_final
2000-11-25 11:34:58	ga_ls7e_ard_3-0-0_114074_2000-11-25_final
2001-01-28 11:35:32	ga_ls7e_ard_3-0-0_114075_2001-01-28_final
2001-02-04 11:43:14	ga_ls7e_ard_3-0-0_115079_2001-02-04_final
2001-02-22 11:31:38	ga_ls7e_ard_3-0-0_113081_2001-02-22_final
2001-03-10 11:31:58	ga_ls7e_ard_3-0-0_113082_2001-03-10_final
2001-09-25 11:35:28	ga_ls7e_ard_3-0-0_114080_2001-09-25_final
2002-06-24 11:35:28	ga_ls7e_ard_3-0-0_114080_2002-06-24_final
2002-07-26 11:34:28	ga_ls7e_ard_3-0-0_114078_2002-07-26_final
2003-02-03 11:33:37	ga_ls7e_ard_3-0-0_114075_2003-02-03_final
2004-12-31 11:30:11	ga_ls7e_ard_3-0-0_113080_2004-12-31_final
2005-12-18 11:29:16	ga_ls7e_ard_3-0-0_113077_2005-12-18_final
2006-04-16 11:35:26	ga_ls7e_ard_3-0-0_114076_2006-04-16_final
2006-08-31 11:29:16	ga_ls7e_ard_3-0-0_113077_2006-08-31_final
2007-06-15 11:29:30	ga_ls7e_ard_3-0-0_113076_2007-06-15_final
2007-12-08 11:29:31	ga_ls7e_ard_3-0-0_113076_2007-12-08_final
2008-02-08 11:42:19	ga_ls7e_ard_3-1-0_115077_2008-02-08_final
2008-05-07 11:35:52	ga_ls7e_ard_3-0-0_114077_2008-05-07_final
2008-07-03 11:30:23	ga_ls7e_ard_3-0-0_113080_2008-07-03_final
2008-08-04 11:30:52	ga_ls7e_ard_3-0-0_113082_2008-08-04_final
2008-10-23 11:30:03	ga_ls7e_ard_3-0-0_113081_2008-10-23_final
2009-11-18 11:32:29	ga_ls7e_ard_3-0-0_114067_2009-11-18_final
2009-12-29 11:30:29	ga_ls7e_ard_3-0-0_113076_2009-12-29_final
2010-02-13 11:43:54	ga_ls7e_ard_3-1-0_115077_2010-02-13_final
2010-08-08 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-08-08_final
2014-07-27 11:39:26	ga_ls7e_ard_3-0-0_114067_2014-07-27_final
2014-09-22 11:37:46	ga_ls7e_ard_3-0-0_113078_2014-09-22_final
2015-01-28 11:37:53	ga_ls7e_ard_3-0-0_113076_2015-01-28_final
2016-03-10 11:48:40	ga_ls7e_ard_3-0-0_114079_2016-03-10_final
2016-10-04 11:49:47	ga_ls7e_ard_3-0-0_114080_2016-10-04_final
2016-12-16 11:43:40	ga_ls7e_ard_3-0-0_113081_2016-12-16_final
2017-06-10 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-06-10_final
2018-01-04 11:44:34	ga_ls7e_ard_3-0-0_113084_2018-01-04_final
2018-02-28 11:48:00	ga_ls7e_ard_3-0-0_114079_2018-02-28_final
2018-04-26 11:41:00	ga_ls7e_ard_3-0-0_113079_2018-04-26_final
2018-05-28 11:39:16	ga_ls7e_ard_3-0-0_113076_2018-05-28_final
2018-12-13 11:42:24	ga_ls7e_ard_3-0-0_114079_2018-12-13_final
2019-01-14 11:41:27	ga_ls7e_ard_3-0-0_114079_2019-01-14_final
2019-11-07 11:24:03	ga_ls7e_ard_3-1-0_113079_2019-11-07_final
2020-02-11 11:21:16	ga_ls7e_ard_3-1-0_113084_2020-02-11_final
2020-04-22 11:21:32	ga_ls7e_ard_3-1-0_114079_2020-04-22_final
2020-11-30 09:38:32	ga_ls7e_ard_3-1-0_100073_2020-11-30_final
2020-12-01 08:44:50	ga_ls7e_ard_3-1-0_091078_2020-11-30_final
2020-12-04 09:15:07	ga_ls7e_ard_3-1-0_096077_2020-12-03_final
2020-12-06 09:04:36	ga_ls7e_ard_3-1-0_094082_2020-12-05_final
2020-12-12 10:00:46	ga_ls7e_ard_3-1-0_104069_2020-12-12_final
2020-12-13 09:10:40	ga_ls7e_ard_3-1-0_095083_2020-12-12_final
2020-12-13 10:48:21	ga_ls7e_ard_3-1-0_111080_2020-12-13_final
2020-12-20 09:12:19	ga_ls7e_ard_3-1-0_096073_2020-12-19_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2021-01-12 09:20:29	ga_ls7e_ard_3-1-0_097082_2021-01-11_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-29 09:57:44	ga_ls7e_ard_3-2-0_104070_2021-01-29_final
2021-02-08 10:37:16	ga_ls7e_ard_3-2-0_110078_2021-02-08_final
2021-02-10 08:47:28	ga_ls7e_ard_3-2-0_092082_2021-02-09_final
2021-02-23 09:52:04	ga_ls7e_ard_3-2-0_103076_2021-02-23_final
2021-02-23 09:53:40	ga_ls7e_ard_3-2-0_103080_2021-02-23_final
2021-02-28 08:33:44	ga_ls7e_ard_3-2-0_090082_2021-02-27_final
2021-02-28 10:10:37	ga_ls7e_ard_3-2-0_106077_2021-02-28_final
2021-03-01 09:14:56	ga_ls7e_ard_3-2-0_097077_2021-02-28_final
2021-03-10 10:46:07	ga_ls7e_ard_3-2-0_112075_2021-03-10_final
2021-03-19 09:01:33	ga_ls7e_ard_3-2-0_095078_2021-03-18_final
2021-03-26 10:46:50	ga_ls7e_ard_3-2-0_112080_2021-03-26_final
2021-04-18 10:52:43	ga_ls7e_ard_3-2-0_113084_2021-04-18_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-21 09:51:55	ga_ls7e_ard_3-2-0_104078_2021-05-21_final
2021-05-24 08:42:53	ga_ls7e_ard_3-2-0_093076_2021-05-23_final
2021-05-24 10:19:22	ga_ls7e_ard_3-2-0_109070_2021-05-24_final
2021-05-29 09:02:59	ga_ls7e_ard_3-2-0_096081_2021-05-28_final
2021-06-09 08:41:32	ga_ls7e_ard_3-2-0_093076_2021-06-08_final
2021-07-02 10:26:18	ga_ls7e_ard_3-2-0_110080_2021-07-02_final
2021-07-11 08:40:05	ga_ls7e_ard_3-2-0_093079_2021-07-10_final
2021-07-11 08:42:28	ga_ls7e_ard_3-2-0_093085_2021-07-10_final
2021-07-18 08:46:03	ga_ls7e_ard_3-2-0_094080_2021-07-17_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-23 08:18:11	ga_ls7e_ard_3-2-0_090080_2021-08-22_final
2021-08-29 09:19:52	ga_ls7e_ard_3-2-0_100081_2021-08-28_final
2021-09-03 09:33:11	ga_ls7e_ard_3-2-0_103069_2021-09-03_final
2021-09-09 10:38:51	ga_ls7e_ard_3-2-0_113080_2021-09-09_final
2021-09-20 10:19:19	ga_ls7e_ard_3-2-0_110080_2021-09-20_final
2021-09-25 10:37:25	ga_ls7e_ard_3-2-0_113080_2021-09-25_final
2021-10-11 10:34:01	ga_ls7e_ard_3-2-0_113075_2021-10-11_final
2021-10-13 08:44:59	ga_ls7e_ard_3-2-0_095081_2021-10-12_final
2021-10-15 08:31:39	ga_ls7e_ard_3-2-0_093079_2021-10-14_final
2021-11-09 08:23:33	ga_ls7e_ard_3-2-0_092080_2021-11-08_final
2021-12-03 09:08:18	ga_ls7e_ard_3-2-1_100074_2021-12-02_final
2021-12-05 08:55:21	ga_ls7e_ard_3-2-1_098073_2021-12-04_final
2022-01-03 08:24:00	ga_ls7e_ard_3-2-1_093079_2022-01-02_final
2022-01-09 09:24:02	ga_ls7e_ard_3-2-1_103076_2022-01-08_final
2022-01-10 08:29:55	ga_ls7e_ard_3-2-1_094080_2022-01-09_final
2022-01-10 10:09:12	ga_ls7e_ard_3-2-1_110081_2022-01-10_final
2022-01-12 08:16:58	ga_ls7e_ard_3-2-1_092079_2022-01-11_final
2022-01-19 10:02:10	ga_ls7e_ard_3-2-1_109081_2022-01-19_final
2022-02-09 10:17:25	ga_ls7e_ard_3-2-1_112078_2022-02-09_final
2022-02-11 08:28:46	ga_ls7e_ard_3-2-1_094085_2022-02-10_final
2022-03-02 08:53:25	ga_ls7e_ard_3-2-1_099074_2022-03-01_final
2022-03-07 09:12:16	ga_ls7e_ard_3-2-1_102076_2022-03-06_final
2022-03-09 08:58:30	ga_ls7e_ard_3-2-1_100073_2022-03-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years