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
1999-07-25 11:44:50	ga_ls7e_ard_3-1-0_115077_1999-07-25_final
2000-06-02 11:36:32	ga_ls7e_ard_3-0-0_114074_2000-06-02_final
2001-05-11 11:41:34	ga_ls7e_ard_3-0-0_115076_2001-05-11_final
2002-12-08 11:39:27	ga_ls7e_ard_3-0-0_115075_2002-12-08_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2004-04-26 11:30:58	ga_ls7e_ard_3-0-0_114067_2004-04-26_final
2005-05-15 11:34:38	ga_ls7e_ard_3-0-0_114075_2005-05-15_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2006-04-16 11:37:01	ga_ls7e_ard_3-0-0_114080_2006-04-16_final
2006-09-23 11:35:18	ga_ls7e_ard_3-0-0_114077_2006-09-23_final
2006-11-17 11:41:57	ga_ls7e_ard_3-1-0_115077_2006-11-17_final
2007-01-20 11:41:51	ga_ls7e_ard_3-0-0_115076_2007-01-20_final
2007-03-18 11:35:57	ga_ls7e_ard_3-0-0_114076_2007-03-18_final
2007-10-12 11:36:46	ga_ls7e_ard_3-0-0_114080_2007-10-12_final
2008-12-08 11:41:02	ga_ls7e_ard_3-0-0_115076_2008-12-08_final
2010-02-13 11:43:30	ga_ls7e_ard_3-0-0_115076_2010-02-13_final
2011-02-09 11:39:39	ga_ls7e_ard_3-0-0_114078_2011-02-09_final
2011-06-01 11:40:37	ga_ls7e_ard_3-0-0_114080_2011-06-01_final
2011-06-08 11:45:12	ga_ls7e_ard_3-0-0_115076_2011-06-08_final
2011-08-27 11:44:35	ga_ls7e_ard_3-0-0_115075_2011-08-27_final
2012-02-12 11:39:09	ga_ls7e_ard_3-0-0_114075_2012-02-12_final
2012-04-25 11:35:56	ga_ls7e_ard_3-0-0_113082_2012-04-25_final
2012-07-21 11:41:28	ga_ls7e_ard_3-0-0_114079_2012-07-21_final
2013-05-21 11:40:29	ga_ls7e_ard_3-0-0_114074_2013-05-21_final
2013-08-25 11:37:14	ga_ls7e_ard_3-0-0_114067_2013-08-25_final
2014-04-22 11:43:24	ga_ls7e_ard_3-0-0_114078_2014-04-22_final
2014-09-13 11:39:28	ga_ls7e_ard_3-0-0_114067_2014-09-13_final
2014-11-16 11:44:52	ga_ls7e_ard_3-0-0_114079_2014-11-16_final
2015-03-24 11:45:16	ga_ls7e_ard_3-0-0_114078_2015-03-24_final
2015-08-24 11:42:17	ga_ls7e_ard_3-0-0_113084_2015-08-24_final
2017-05-16 11:48:19	ga_ls7e_ard_3-0-0_114077_2017-05-16_final
2017-07-03 11:44:29	ga_ls7e_ard_3-0-0_114067_2017-07-03_final
2017-07-10 11:54:40	ga_ls7e_ard_3-1-0_115077_2017-07-10_final
2017-07-19 11:47:41	ga_ls7e_ard_3-0-0_114075_2017-07-19_final
2017-07-26 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-07-26_final
2017-09-28 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-28_final
2017-11-08 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-11-08_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-11-02 11:48:25	ga_ls7e_ard_3-0-0_115076_2018-11-02_final
2019-01-14 11:40:15	ga_ls7e_ard_3-0-0_114076_2019-01-14_final
2019-01-30 11:40:31	ga_ls7e_ard_3-0-0_114078_2019-01-30_final
2020-06-09 11:18:39	ga_ls7e_ard_3-1-0_114079_2020-06-09_final
2020-09-13 11:12:40	ga_ls7e_ard_3-1-0_114079_2020-09-13_final
2020-11-25 09:22:21	ga_ls7e_ard_3-1-0_097078_2020-11-24_final
2020-11-25 11:02:26	ga_ls7e_ard_3-1-0_113081_2020-11-25_final
2020-11-27 09:11:27	ga_ls7e_ard_3-1-0_095082_2020-11-26_final
2020-11-27 10:49:56	ga_ls7e_ard_3-1-0_111081_2020-11-27_final
2020-11-29 08:56:33	ga_ls7e_ard_3-1-0_093076_2020-11-28_final
2020-12-02 09:29:37	ga_ls7e_ard_3-1-0_098082_2020-12-01_final
2020-12-08 08:53:18	ga_ls7e_ard_3-1-0_092085_2020-12-07_final
2021-02-01 08:53:55	ga_ls7e_ard_3-2-0_093081_2021-01-31_final
2021-02-13 10:54:14	ga_ls7e_ard_3-2-0_113075_2021-02-13_final
2021-02-15 09:04:50	ga_ls7e_ard_3-2-0_095080_2021-02-14_final
2021-02-19 08:40:37	ga_ls7e_ard_3-2-0_091082_2021-02-18_final
2021-03-01 09:13:20	ga_ls7e_ard_3-2-0_097073_2021-02-28_final
2021-03-10 09:06:27	ga_ls7e_ard_3-2-0_096073_2021-03-09_final
2021-03-11 09:51:37	ga_ls7e_ard_3-2-0_103078_2021-03-11_final
2021-04-04 09:02:14	ga_ls7e_ard_3-2-0_095083_2021-04-03_final
2021-05-08 08:44:38	ga_ls7e_ard_3-2-0_093077_2021-05-07_final
2021-05-08 08:46:14	ga_ls7e_ard_3-2-0_093081_2021-05-07_final
2021-05-15 10:26:43	ga_ls7e_ard_3-2-0_110071_2021-05-15_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-05-25 09:28:03	ga_ls7e_ard_3-2-0_100081_2021-05-24_final
2021-05-31 10:27:44	ga_ls7e_ard_3-2-0_110077_2021-05-31_final
2021-06-13 09:52:59	ga_ls7e_ard_3-2-0_105070_2021-06-13_final
2021-06-14 08:57:41	ga_ls7e_ard_3-2-0_096071_2021-06-13_final
2021-06-27 08:28:54	ga_ls7e_ard_3-2-0_091079_2021-06-26_final
2021-07-19 09:26:02	ga_ls7e_ard_3-2-0_101072_2021-07-18_final
2021-07-29 08:27:46	ga_ls7e_ard_3-2-0_091083_2021-07-28_final
2021-07-30 09:06:33	ga_ls7e_ard_3-2-0_098072_2021-07-29_final
2021-08-03 08:46:16	ga_ls7e_ard_3-2-0_094084_2021-08-02_final
2021-08-07 08:20:23	ga_ls7e_ard_3-2-0_090082_2021-08-06_final
2021-09-01 08:12:25	ga_ls7e_ard_3-2-0_089083_2021-08-31_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-18 08:49:48	ga_ls7e_ard_3-2-0_096072_2021-09-17_final
2021-10-03 09:43:41	ga_ls7e_ard_3-2-0_105071_2021-10-03_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-20 08:46:33	ga_ls7e_ard_3-2-0_096071_2021-10-19_final
2021-10-21 09:32:07	ga_ls7e_ard_3-2-0_103077_2021-10-21_final
2021-10-24 09:59:33	ga_ls7e_ard_3-2-0_108069_2021-10-24_final
2021-11-22 09:29:04	ga_ls7e_ard_3-2-1_103077_2021-11-21_final
2021-11-29 09:35:47	ga_ls7e_ard_3-2-1_104080_2021-11-29_final
2021-11-30 10:19:21	ga_ls7e_ard_3-2-1_111081_2021-11-30_final
2021-12-02 08:29:31	ga_ls7e_ard_3-2-1_093085_2021-12-01_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-06 08:54:36	ga_ls7e_ard_3-2-1_098079_2022-01-05_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-07 09:38:10	ga_ls7e_ard_3-2-1_105080_2022-01-07_final
2022-01-08 08:39:40	ga_ls7e_ard_3-2-1_096073_2022-01-07_final
2022-01-12 09:57:51	ga_ls7e_ard_3-2-1_108084_2022-01-12_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-04 08:21:43	ga_ls7e_ard_3-2-1_093081_2022-02-03_final
2022-02-14 08:55:45	ga_ls7e_ard_3-2-1_099076_2022-02-13_final
2022-03-04 10:23:20	ga_ls7e_ard_3-2-1_113083_2022-03-04_final
2022-03-10 09:40:28	ga_ls7e_ard_3-2-1_107070_2022-03-10_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-20 08:38:28	ga_ls7e_ard_3-2-1_097072_2022-03-19_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_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