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
2001-04-29 09:41:40	ga_ls7e_ard_3-0-0_095085_2001-04-29_final
2001-08-03 09:41:06	ga_ls7e_ard_3-0-0_095086_2001-08-03_final
2002-10-25 09:37:24	ga_ls7e_ard_3-0-0_095080_2002-10-25_final
2003-03-02 09:38:18	ga_ls7e_ard_3-0-0_095080_2003-03-02_final
2004-04-21 09:39:54	ga_ls7e_ard_3-0-0_095083_2004-04-21_final
2004-12-17 09:41:36	ga_ls7e_ard_3-0-0_095087_2004-12-17_final
2005-06-27 09:40:35	ga_ls7e_ard_3-0-0_095084_2005-06-27_final
2005-08-30 09:38:49	ga_ls7e_ard_3-0-0_095080_2005-08-30_final
2006-06-14 09:41:12	ga_ls7e_ard_3-0-0_095084_2006-06-14_final
2007-09-21 09:39:47	ga_ls7e_ard_3-0-0_095081_2007-09-21_final
2009-03-18 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-03-18_final
2009-08-09 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-08-09_final
2010-04-06 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-06_final
2010-05-08 09:42:57	ga_ls7e_ard_3-0-0_095083_2010-05-08_final
2010-08-28 09:41:52	ga_ls7e_ard_3-0-0_095080_2010-08-28_final
2011-05-11 09:43:11	ga_ls7e_ard_3-0-0_095080_2011-05-11_final
2011-12-05 09:44:33	ga_ls7e_ard_3-0-0_095083_2011-12-05_final
2012-01-22 09:45:11	ga_ls7e_ard_3-0-0_095084_2012-01-22_final
2012-08-01 09:47:20	ga_ls7e_ard_3-0-0_095087_2012-08-01_final
2013-03-13 09:47:20	ga_ls7e_ard_3-0-0_095084_2013-03-13_final
2014-01-27 09:46:24	ga_ls7e_ard_3-0-0_095080_2014-01-27_final
2015-01-14 09:48:10	ga_ls7e_ard_3-0-0_095080_2015-01-14_final
2015-01-30 09:49:51	ga_ls7e_ard_3-0-0_095084_2015-01-30_final
2015-02-15 09:49:29	ga_ls7e_ard_3-0-0_095083_2015-02-15_final
2015-06-07 09:50:46	ga_ls7e_ard_3-0-0_095084_2015-06-07_final
2016-07-11 09:53:21	ga_ls7e_ard_3-0-0_095083_2016-07-11_final
2018-05-14 09:51:02	ga_ls7e_ard_3-0-0_095083_2018-05-14_final
2018-10-21 09:47:04	ga_ls7e_ard_3-0-0_095081_2018-10-21_final
2020-09-24 09:16:07	ga_ls7e_ard_3-1-0_095083_2020-09-23_final
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-02-10 10:24:45	ga_ls7e_ard_3-2-0_108078_2021-02-10_final
2021-02-15 09:05:38	ga_ls7e_ard_3-2-0_095082_2021-02-14_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-02-23 09:52:04	ga_ls7e_ard_3-2-0_103076_2021-02-23_final
2021-02-28 10:11:01	ga_ls7e_ard_3-2-0_106078_2021-02-28_final
2021-03-08 09:21:45	ga_ls7e_ard_3-2-0_098080_2021-03-07_final
2021-03-11 09:51:13	ga_ls7e_ard_3-2-0_103077_2021-03-11_final
2021-03-12 08:54:44	ga_ls7e_ard_3-2-0_094075_2021-03-11_final
2021-03-12 08:57:31	ga_ls7e_ard_3-2-0_094082_2021-03-11_final
2021-04-02 09:14:22	ga_ls7e_ard_3-2-0_097082_2021-04-01_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-06 10:27:24	ga_ls7e_ard_3-2-0_109080_2021-04-06_final
2021-04-06 10:27:48	ga_ls7e_ard_3-2-0_109081_2021-04-06_final
2021-04-11 09:05:51	ga_ls7e_ard_3-2-0_096078_2021-04-10_final
2021-04-11 10:43:55	ga_ls7e_ard_3-2-0_112076_2021-04-11_final
2021-04-19 09:54:13	ga_ls7e_ard_3-2-0_104077_2021-04-19_final
2021-04-27 09:06:05	ga_ls7e_ard_3-2-0_096082_2021-04-26_final
2021-04-28 09:46:52	ga_ls7e_ard_3-2-0_103076_2021-04-28_final
2021-05-02 09:23:49	ga_ls7e_ard_3-2-0_099081_2021-05-01_final
2021-05-02 11:01:53	ga_ls7e_ard_3-2-0_115079_2021-05-02_final
2021-05-06 10:36:02	ga_ls7e_ard_3-2-0_111077_2021-05-06_final
2021-05-08 10:21:55	ga_ls7e_ard_3-2-0_109073_2021-05-08_final
2021-05-23 09:38:11	ga_ls7e_ard_3-2-0_102075_2021-05-23_final
2021-05-28 09:53:54	ga_ls7e_ard_3-2-0_105069_2021-05-28_final
2021-05-30 09:42:10	ga_ls7e_ard_3-2-0_103071_2021-05-30_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-12 09:09:24	ga_ls7e_ard_3-2-0_098069_2021-06-11_final
2021-06-14 09:00:28	ga_ls7e_ard_3-2-0_096078_2021-06-13_final
2021-06-14 10:38:09	ga_ls7e_ard_3-2-0_112075_2021-06-14_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-06-29 09:51:40	ga_ls7e_ard_3-2-0_105070_2021-06-29_final
2021-07-06 08:23:34	ga_ls7e_ard_3-2-0_090083_2021-07-05_final
2021-07-16 10:35:28	ga_ls7e_ard_3-2-0_112075_2021-07-16_final
2021-07-23 09:00:58	ga_ls7e_ard_3-2-0_097072_2021-07-22_final
2021-07-23 09:02:58	ga_ls7e_ard_3-2-0_097077_2021-07-22_final
2021-07-28 09:20:40	ga_ls7e_ard_3-2-0_100076_2021-07-27_final
2021-08-12 10:16:34	ga_ls7e_ard_3-2-0_109080_2021-08-12_final
2021-08-13 09:21:39	ga_ls7e_ard_3-2-0_100082_2021-08-12_final
2021-08-21 10:09:59	ga_ls7e_ard_3-2-0_108081_2021-08-21_final
2021-08-24 10:39:50	ga_ls7e_ard_3-2-0_113079_2021-08-24_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2021-09-16 10:42:48	ga_ls7e_ard_3-2-0_114076_2021-09-16_final
2021-09-17 09:45:06	ga_ls7e_ard_3-2-0_105071_2021-09-17_final
2021-09-20 08:39:15	ga_ls7e_ard_3-2-0_094077_2021-09-19_final
2021-09-22 10:06:47	ga_ls7e_ard_3-2-0_108080_2021-09-22_final
2021-10-08 10:06:10	ga_ls7e_ard_3-2-0_108082_2021-10-08_final
2021-10-18 09:03:29	ga_ls7e_ard_3-2-0_098082_2021-10-17_final
2021-11-05 08:47:52	ga_ls7e_ard_3-2-0_096078_2021-11-04_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-19 10:37:20	ga_ls7e_ard_3-2-1_114077_2021-11-19_final
2021-11-20 09:38:50	ga_ls7e_ard_3-2-1_105070_2021-11-20_final
2021-11-22 09:26:40	ga_ls7e_ard_3-2-1_103071_2021-11-21_final
2021-11-29 09:34:35	ga_ls7e_ard_3-2-1_104077_2021-11-29_final
2021-12-07 10:23:41	ga_ls7e_ard_3-2-1_112078_2021-12-07_final
2021-12-17 09:21:19	ga_ls7e_ard_3-2-1_102079_2021-12-16_final
2022-01-04 09:07:57	ga_ls7e_ard_3-2-1_100081_2022-01-03_final
2022-01-09 09:24:26	ga_ls7e_ard_3-2-1_103077_2022-01-08_final
2022-01-10 08:29:55	ga_ls7e_ard_3-2-1_094080_2022-01-09_final
2022-01-21 09:47:13	ga_ls7e_ard_3-2-1_107075_2022-01-21_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-02-18 08:30:14	ga_ls7e_ard_3-2-1_095075_2022-02-17_final
2022-02-22 08:06:21	ga_ls7e_ard_3-2-1_091078_2022-02-21_final
2022-03-02 08:56:13	ga_ls7e_ard_3-2-1_099081_2022-03-01_final
2022-03-07 09:10:40	ga_ls7e_ard_3-2-1_102072_2022-03-06_final
2022-03-11 08:46:21	ga_ls7e_ard_3-2-1_098074_2022-03-10_final
2022-03-19 07:58:54	ga_ls7e_ard_3-2-1_090081_2022-03-18_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_final
2022-04-05 08:38:08	ga_ls7e_ard_3-2-1_097075_2022-04-04_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