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
1999-08-12 11:34:56	ga_ls7e_ard_3-0-0_113083_1999-08-12_final
1999-09-18 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-09-18_final
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
1999-10-22 11:40:15	ga_ls7e_ard_3-0-0_114081_1999-10-22_final
2000-09-06 11:32:35	ga_ls7e_ard_3-0-0_114067_2000-09-06_final
2001-02-04 11:41:15	ga_ls7e_ard_3-0-0_115074_2001-02-04_final
2001-06-14 11:31:14	ga_ls7e_ard_3-0-0_113082_2001-06-14_final
2001-06-14 11:31:38	ga_ls7e_ard_3-0-0_113083_2001-06-14_final
2003-11-02 11:34:14	ga_ls7e_ard_3-0-0_114077_2003-11-02_final
2006-06-19 11:35:24	ga_ls7e_ard_3-0-0_114076_2006-06-19_final
2008-06-24 11:36:40	ga_ls7e_ard_3-0-0_114080_2008-06-24_final
2008-07-10 11:34:53	ga_ls7e_ard_3-0-0_114076_2008-07-10_final
2008-08-20 11:30:22	ga_ls7e_ard_3-0-0_113081_2008-08-20_final
2010-01-30 11:32:10	ga_ls7e_ard_3-0-0_113079_2010-01-30_final
2010-07-16 11:38:50	ga_ls7e_ard_3-0-0_114079_2010-07-16_final
2010-07-23 11:45:01	ga_ls7e_ard_3-0-0_115079_2010-07-23_final
2011-01-08 11:38:40	ga_ls7e_ard_3-0-0_114076_2011-01-08_final
2011-04-14 11:40:14	ga_ls7e_ard_3-0-0_114079_2011-04-14_final
2011-05-23 11:46:23	ga_ls7e_ard_3-0-0_115079_2011-05-23_final
2012-07-12 11:46:21	ga_ls7e_ard_3-0-0_115076_2012-07-12_final
2012-09-16 11:36:41	ga_ls7e_ard_3-0-0_113081_2012-09-16_final
2013-03-18 11:41:32	ga_ls7e_ard_3-0-0_114076_2013-03-18_final
2014-01-16 11:42:25	ga_ls7e_ard_3-0-0_114077_2014-01-16_final
2014-10-15 11:44:35	ga_ls7e_ard_3-0-0_114079_2014-10-15_final
2014-12-18 11:44:20	ga_ls7e_ard_3-0-0_114077_2014-12-18_final
2015-07-07 11:40:08	ga_ls7e_ard_3-0-0_113079_2015-07-07_final
2016-01-15 11:42:52	ga_ls7e_ard_3-0-0_113081_2016-01-15_final
2016-05-06 11:42:50	ga_ls7e_ard_3-0-0_113079_2016-05-06_final
2016-08-01 11:48:26	ga_ls7e_ard_3-0-0_114077_2016-08-01_final
2016-11-14 11:44:59	ga_ls7e_ard_3-0-0_113084_2016-11-14_final
2017-04-07 11:43:07	ga_ls7e_ard_3-0-0_113080_2017-04-07_final
2017-09-30 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-09-30_final
2018-11-04 11:37:12	ga_ls7e_ard_3-0-0_113079_2018-11-04_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2019-04-04 11:37:42	ga_ls7e_ard_3-0-0_114076_2019-04-04_final
2019-07-25 11:34:42	ga_ls7e_ard_3-0-0_114079_2019-07-25_final
2020-11-27 09:09:03	ga_ls7e_ard_3-1-0_095076_2020-11-26_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2020-12-02 09:27:14	ga_ls7e_ard_3-1-0_098076_2020-12-01_final
2020-12-10 08:39:59	ga_ls7e_ard_3-1-0_090083_2020-12-09_final
2020-12-29 10:47:10	ga_ls7e_ard_3-1-0_111080_2020-12-29_final
2021-01-16 08:55:52	ga_ls7e_ard_3-1-0_093083_2021-01-15_final
2021-01-30 09:04:50	ga_ls7e_ard_3-2-0_095077_2021-01-29_final
2021-02-08 08:59:11	ga_ls7e_ard_3-2-0_094080_2021-02-07_final
2021-02-19 10:15:54	ga_ls7e_ard_3-2-0_107073_2021-02-19_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-03-19 09:02:21	ga_ls7e_ard_3-2-0_095080_2021-03-18_final
2021-03-24 09:21:17	ga_ls7e_ard_3-2-0_098082_2021-03-23_final
2021-04-11 09:05:03	ga_ls7e_ard_3-2-0_096076_2021-04-10_final
2021-04-13 08:52:31	ga_ls7e_ard_3-2-0_094076_2021-04-12_final
2021-04-20 10:38:11	ga_ls7e_ard_3-2-0_111079_2021-04-20_final
2021-04-24 10:13:07	ga_ls7e_ard_3-2-0_107079_2021-04-24_final
2021-05-05 09:50:52	ga_ls7e_ard_3-2-0_104072_2021-05-05_final
2021-05-05 09:52:52	ga_ls7e_ard_3-2-0_104077_2021-05-05_final
2021-05-08 10:23:55	ga_ls7e_ard_3-2-0_109078_2021-05-08_final
2021-05-14 09:42:44	ga_ls7e_ard_3-2-0_103069_2021-05-14_final
2021-05-21 09:51:31	ga_ls7e_ard_3-2-0_104077_2021-05-21_final
2021-05-23 09:38:59	ga_ls7e_ard_3-2-0_102077_2021-05-23_final
2021-05-27 09:15:31	ga_ls7e_ard_3-2-0_098081_2021-05-26_final
2021-05-29 10:39:28	ga_ls7e_ard_3-2-0_112075_2021-05-29_final
2021-06-12 09:12:12	ga_ls7e_ard_3-2-0_098076_2021-06-11_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-27 08:28:30	ga_ls7e_ard_3-2-0_091078_2021-06-26_final
2021-07-08 09:47:31	ga_ls7e_ard_3-2-0_104077_2021-07-08_final
2021-07-12 09:21:39	ga_ls7e_ard_3-2-0_100075_2021-07-11_final
2021-07-13 08:27:09	ga_ls7e_ard_3-2-0_091078_2021-07-12_final
2021-07-28 09:19:29	ga_ls7e_ard_3-2-0_100073_2021-07-27_final
2021-08-18 09:37:45	ga_ls7e_ard_3-2-0_103077_2021-08-18_final
2021-09-01 09:48:54	ga_ls7e_ard_3-2-0_105077_2021-09-01_final
2021-09-22 08:28:18	ga_ls7e_ard_3-2-0_092081_2021-09-21_final
2021-09-25 08:57:20	ga_ls7e_ard_3-2-0_097077_2021-09-24_final
2021-09-25 10:37:49	ga_ls7e_ard_3-2-0_113081_2021-09-25_final
2021-09-26 09:40:06	ga_ls7e_ard_3-2-0_104076_2021-09-26_final
2021-10-04 08:51:58	ga_ls7e_ard_3-2-0_096081_2021-10-03_final
2021-10-06 10:17:54	ga_ls7e_ard_3-2-0_110080_2021-10-06_final
2021-10-13 08:44:11	ga_ls7e_ard_3-2-0_095079_2021-10-12_final
2021-11-03 08:59:37	ga_ls7e_ard_3-2-0_098076_2021-11-02_final
2021-11-08 09:17:16	ga_ls7e_ard_3-2-0_101075_2021-11-07_final
2021-11-10 09:07:07	ga_ls7e_ard_3-2-0_099081_2021-11-09_final
2021-11-19 10:37:20	ga_ls7e_ard_3-2-1_114077_2021-11-19_final
2021-11-22 09:26:40	ga_ls7e_ard_3-2-1_103071_2021-11-21_final
2021-11-23 08:32:33	ga_ls7e_ard_3-2-1_094075_2021-11-22_final
2021-11-30 10:18:09	ga_ls7e_ard_3-2-1_111078_2021-11-30_final
2021-12-07 08:46:48	ga_ls7e_ard_3-2-1_096083_2021-12-06_final
2021-12-07 10:24:05	ga_ls7e_ard_3-2-1_112079_2021-12-07_final
2021-12-17 09:19:20	ga_ls7e_ard_3-2-1_102074_2021-12-16_final
2022-01-08 10:19:21	ga_ls7e_ard_3-2-1_112075_2022-01-08_final
2022-01-13 08:58:32	ga_ls7e_ard_3-2-1_099075_2022-01-12_final
2022-02-06 09:46:49	ga_ls7e_ard_3-2-1_107078_2022-02-06_final
2022-02-07 10:30:23	ga_ls7e_ard_3-2-1_114079_2022-02-07_final
2022-02-10 09:20:54	ga_ls7e_ard_3-2-1_103076_2022-02-09_final
2022-02-14 08:55:21	ga_ls7e_ard_3-2-1_099075_2022-02-13_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-20 08:21:17	ga_ls7e_ard_3-2-1_093084_2022-02-19_final
2022-02-20 09:57:46	ga_ls7e_ard_3-2-1_109078_2022-02-20_final
2022-03-09 08:59:18	ga_ls7e_ard_3-2-1_100075_2022-03-08_final
2022-03-11 08:49:32	ga_ls7e_ard_3-2-1_098082_2022-03-10_final
2022-03-12 09:28:18	ga_ls7e_ard_3-2-1_105071_2022-03-11_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_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