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
2002-01-10 09:38:45	ga_ls7e_ard_3-0-0_095081_2002-01-10_final
2002-03-15 09:38:28	ga_ls7e_ard_3-0-0_095080_2002-03-15_final
2004-08-27 09:38:22	ga_ls7e_ard_3-0-0_095080_2004-08-27_final
2004-09-28 09:38:11	ga_ls7e_ard_3-0-0_095080_2004-09-28_final
2005-10-01 09:40:16	ga_ls7e_ard_3-0-0_095084_2005-10-01_final
2006-04-27 09:40:01	ga_ls7e_ard_3-0-0_095081_2006-04-27_final
2007-06-17 09:40:15	ga_ls7e_ard_3-0-0_095081_2007-06-17_final
2007-08-20 09:41:36	ga_ls7e_ard_3-0-0_095085_2007-08-20_final
2007-12-26 09:40:20	ga_ls7e_ard_3-0-0_095081_2007-12-26_final
2010-03-21 09:43:45	ga_ls7e_ard_3-0-0_095085_2010-03-21_final
2012-05-29 09:44:53	ga_ls7e_ard_3-0-0_095082_2012-05-29_final
2013-01-24 09:47:23	ga_ls7e_ard_3-0-0_095084_2013-01-24_final
2013-03-29 09:46:26	ga_ls7e_ard_3-0-0_095082_2013-03-29_final
2014-02-12 09:48:01	ga_ls7e_ard_3-0-0_095084_2014-02-12_final
2014-08-23 09:48:49	ga_ls7e_ard_3-0-0_095084_2014-08-23_final
2014-12-29 09:48:54	ga_ls7e_ard_3-0-0_095082_2014-12-29_final
2015-04-04 09:49:54	ga_ls7e_ard_3-0-0_095083_2015-04-04_final
2015-05-06 09:49:44	ga_ls7e_ard_3-0-0_095082_2015-05-06_final
2016-10-31 09:52:40	ga_ls7e_ard_3-0-0_095081_2016-10-31_final
2017-02-04 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-04_final
2018-04-28 09:50:31	ga_ls7e_ard_3-0-0_095081_2018-04-28_final
2018-07-17 09:50:41	ga_ls7e_ard_3-0-0_095085_2018-07-17_final
2018-08-02 09:49:13	ga_ls7e_ard_3-0-0_095082_2018-08-02_final
2018-08-02 09:50:00	ga_ls7e_ard_3-0-0_095084_2018-08-02_final
2019-03-30 09:42:03	ga_ls7e_ard_3-0-0_095080_2019-03-30_final
2019-06-18 09:39:54	ga_ls7e_ard_3-0-0_095082_2019-06-18_final
2019-08-05 09:40:02	ga_ls7e_ard_3-0-0_095087_2019-08-05_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2020-09-24 09:15:43	ga_ls7e_ard_3-1-0_095082_2020-09-23_final
2021-02-13 09:14:33	ga_ls7e_ard_3-2-0_097073_2021-02-12_final
2021-02-21 10:06:11	ga_ls7e_ard_3-2-0_105080_2021-02-21_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-02-23 09:51:40	ga_ls7e_ard_3-2-0_103075_2021-02-23_final
2021-02-23 09:52:52	ga_ls7e_ard_3-2-0_103078_2021-02-23_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-03-01 10:53:00	ga_ls7e_ard_3-2-0_113075_2021-03-01_final
2021-03-02 09:57:43	ga_ls7e_ard_3-2-0_104076_2021-03-02_final
2021-03-09 10:05:20	ga_ls7e_ard_3-2-0_105081_2021-03-09_final
2021-03-12 08:56:19	ga_ls7e_ard_3-2-0_094079_2021-03-11_final
2021-03-13 09:39:30	ga_ls7e_ard_3-2-0_101079_2021-03-13_final
2021-03-20 09:43:08	ga_ls7e_ard_3-2-0_102074_2021-03-20_final
2021-03-24 10:58:58	ga_ls7e_ard_3-2-0_114079_2021-03-24_final
2021-04-06 08:48:07	ga_ls7e_ard_3-2-0_093079_2021-04-05_final
2021-04-13 08:55:43	ga_ls7e_ard_3-2-0_094084_2021-04-12_final
2021-04-13 10:33:24	ga_ls7e_ard_3-2-0_110081_2021-04-13_final
2021-04-19 09:55:24	ga_ls7e_ard_3-2-0_104080_2021-04-19_final
2021-04-22 10:23:16	ga_ls7e_ard_3-2-0_109073_2021-04-22_final
2021-04-22 10:24:51	ga_ls7e_ard_3-2-0_109077_2021-04-22_final
2021-05-06 10:32:27	ga_ls7e_ard_3-2-0_111068_2021-05-06_final
2021-05-07 09:41:08	ga_ls7e_ard_3-2-0_102079_2021-05-07_final
2021-05-30 09:41:46	ga_ls7e_ard_3-2-0_103070_2021-05-30_final
2021-06-05 10:47:03	ga_ls7e_ard_3-2-0_113080_2021-06-05_final
2021-06-10 09:25:55	ga_ls7e_ard_3-2-0_100079_2021-06-09_final
2021-06-11 10:09:54	ga_ls7e_ard_3-2-0_107081_2021-06-11_final
2021-06-14 10:34:58	ga_ls7e_ard_3-2-0_112067_2021-06-14_final
2021-06-17 09:31:08	ga_ls7e_ard_3-2-0_101078_2021-06-17_final
2021-06-18 10:15:54	ga_ls7e_ard_3-2-0_108082_2021-06-18_final
2021-06-25 10:21:06	ga_ls7e_ard_3-2-0_109081_2021-06-25_final
2021-07-18 10:22:56	ga_ls7e_ard_3-2-0_110075_2021-07-18_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-25 08:52:26	ga_ls7e_ard_3-2-0_095082_2021-07-24_final
2021-07-27 08:37:30	ga_ls7e_ard_3-2-0_093076_2021-07-26_final
2021-08-04 09:24:38	ga_ls7e_ard_3-2-0_101072_2021-08-03_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-30 10:04:14	ga_ls7e_ard_3-2-0_107084_2021-08-30_final
2021-09-04 10:20:44	ga_ls7e_ard_3-2-0_110080_2021-09-04_final
2021-09-09 08:57:34	ga_ls7e_ard_3-2-0_097074_2021-09-08_final
2021-09-11 08:48:14	ga_ls7e_ard_3-2-0_095082_2021-09-10_final
2021-09-20 10:17:44	ga_ls7e_ard_3-2-0_110076_2021-09-20_final
2021-09-30 09:16:14	ga_ls7e_ard_3-2-0_100079_2021-09-29_final
2021-10-12 09:38:18	ga_ls7e_ard_3-2-0_104075_2021-10-12_final
2021-10-14 09:24:34	ga_ls7e_ard_3-2-0_102072_2021-10-13_final
2021-10-14 09:25:46	ga_ls7e_ard_3-2-0_102075_2021-10-13_final
2021-10-31 08:32:11	ga_ls7e_ard_3-2-0_093084_2021-10-30_final
2021-11-07 10:14:11	ga_ls7e_ard_3-2-0_110078_2021-11-07_final
2021-11-07 10:14:59	ga_ls7e_ard_3-2-0_110080_2021-11-07_final
2021-11-14 10:19:41	ga_ls7e_ard_3-2-1_111078_2021-11-14_final
2021-11-14 10:20:53	ga_ls7e_ard_3-2-1_111081_2021-11-14_final
2021-12-02 10:03:13	ga_ls7e_ard_3-2-1_109072_2021-12-02_final
2021-12-10 09:13:25	ga_ls7e_ard_3-2-1_101073_2021-12-09_final
2021-12-13 09:46:25	ga_ls7e_ard_3-2-1_106079_2021-12-13_final
2021-12-16 08:36:34	ga_ls7e_ard_3-2-1_095075_2021-12-15_final
2021-12-20 08:12:15	ga_ls7e_ard_3-2-1_091077_2021-12-19_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2021-12-23 08:44:51	ga_ls7e_ard_3-2-1_096082_2021-12-22_final
2021-12-25 08:32:42	ga_ls7e_ard_3-2-1_094083_2021-12-24_final
2021-12-27 08:19:44	ga_ls7e_ard_3-2-1_092082_2021-12-26_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-01-15 08:48:23	ga_ls7e_ard_3-2-1_097081_2022-01-14_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-01-17 10:14:43	ga_ls7e_ard_3-2-1_111081_2022-01-17_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-02-17 09:27:09	ga_ls7e_ard_3-2-1_104078_2022-02-16_final
2022-02-25 08:38:57	ga_ls7e_ard_3-2-1_096083_2022-02-24_final
2022-02-27 10:03:41	ga_ls7e_ard_3-2-1_110079_2022-02-27_final
2022-03-10 08:06:23	ga_ls7e_ard_3-2-1_091082_2022-03-09_final
2022-03-10 09:40:28	ga_ls7e_ard_3-2-1_107070_2022-03-10_final
2022-03-10 09:41:40	ga_ls7e_ard_3-2-1_107073_2022-03-10_final
2022-03-17 09:48:20	ga_ls7e_ard_3-2-1_108076_2022-03-17_final
2022-03-21 09:21:14	ga_ls7e_ard_3-2-1_104071_2022-03-20_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