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
1999-08-14 09:42:28	ga_ls7e_ard_3-0-0_095080_1999-08-14_final
1999-08-14 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-08-14_final
2001-01-23 09:40:55	ga_ls7e_ard_3-0-0_095082_2001-01-23_final
2001-07-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2001-07-02_final
2001-12-25 09:39:29	ga_ls7e_ard_3-0-0_095083_2001-12-25_final
2002-06-03 09:38:36	ga_ls7e_ard_3-0-0_095081_2002-06-03_final
2002-07-05 09:38:25	ga_ls7e_ard_3-0-0_095081_2002-07-05_final
2004-04-21 09:37:06	ga_ls7e_ard_3-0-0_095076_2004-04-21_final
2005-01-18 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-01-18_final
2006-03-10 09:41:17	ga_ls7e_ard_3-0-0_095084_2006-03-10_final
2006-05-13 09:37:40	ga_ls7e_ard_3-0-0_095075_2006-05-13_final
2007-02-09 09:38:23	ga_ls7e_ard_3-0-0_095076_2007-02-09_final
2007-08-04 09:40:30	ga_ls7e_ard_3-0-0_095082_2007-08-04_final
2007-08-20 09:38:00	ga_ls7e_ard_3-0-0_095076_2007-08-20_final
2007-11-24 09:41:47	ga_ls7e_ard_3-0-0_095085_2007-11-24_final
2008-01-11 09:39:57	ga_ls7e_ard_3-0-0_095080_2008-01-11_final
2008-03-15 09:37:44	ga_ls7e_ard_3-0-0_095075_2008-03-15_final
2008-08-22 09:40:42	ga_ls7e_ard_3-0-0_095085_2008-08-22_final
2008-10-25 09:39:38	ga_ls7e_ard_3-0-0_095083_2008-10-25_final
2008-12-28 09:40:23	ga_ls7e_ard_3-0-0_095083_2008-12-28_final
2009-01-29 09:40:57	ga_ls7e_ard_3-0-0_095084_2009-01-29_final
2009-09-26 09:38:08	ga_ls7e_ard_3-0-0_095076_2009-09-26_final
2009-10-28 09:41:32	ga_ls7e_ard_3-0-0_095084_2009-10-28_final
2009-11-13 09:40:11	ga_ls7e_ard_3-0-0_095080_2009-11-13_final
2011-11-03 09:43:47	ga_ls7e_ard_3-0-0_095082_2011-11-03_final
2012-07-16 09:45:11	ga_ls7e_ard_3-0-0_095082_2012-07-16_final
2012-08-17 09:45:33	ga_ls7e_ard_3-0-0_095082_2012-08-17_final
2014-01-27 09:47:12	ga_ls7e_ard_3-0-0_095082_2014-01-27_final
2014-12-29 09:46:54	ga_ls7e_ard_3-0-0_095077_2014-12-29_final
2015-11-14 09:51:53	ga_ls7e_ard_3-0-0_095084_2015-11-14_final
2016-04-22 09:52:43	ga_ls7e_ard_3-0-0_095082_2016-04-22_final
2016-10-31 09:53:04	ga_ls7e_ard_3-0-0_095082_2016-10-31_final
2017-08-15 09:53:24	ga_ls7e_ard_3-0-0_095083_2017-08-15_final
2017-10-02 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-10-02_final
2018-04-12 09:48:48	ga_ls7e_ard_3-0-0_095076_2018-04-12_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-11-25 09:32:22	ga_ls7e_ard_3-1-0_095080_2019-11-25_final
2020-02-29 09:28:17	ga_ls7e_ard_3-1-0_095082_2020-02-28_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-04 09:45:36	ga_ls7e_ard_3-2-0_102077_2021-03-04_final
2021-03-05 10:31:10	ga_ls7e_ard_3-2-0_109083_2021-03-05_final
2021-03-11 09:49:38	ga_ls7e_ard_3-2-0_103073_2021-03-11_final
2021-03-11 09:50:49	ga_ls7e_ard_3-2-0_103076_2021-03-11_final
2021-03-27 09:49:56	ga_ls7e_ard_3-2-0_103077_2021-03-27_final
2021-03-27 09:50:20	ga_ls7e_ard_3-2-0_103078_2021-03-27_final
2021-04-12 09:45:50	ga_ls7e_ard_3-2-0_103070_2021-04-12_final
2021-04-24 08:35:26	ga_ls7e_ard_3-2-0_091082_2021-04-23_final
2021-04-25 09:16:13	ga_ls7e_ard_3-2-0_098076_2021-04-24_final
2021-05-20 10:48:25	ga_ls7e_ard_3-2-0_113080_2021-05-20_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-05-29 09:00:59	ga_ls7e_ard_3-2-0_096076_2021-05-28_final
2021-06-05 09:05:47	ga_ls7e_ard_3-2-0_097074_2021-06-04_final
2021-06-09 08:40:45	ga_ls7e_ard_3-2-0_093074_2021-06-08_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-14 10:40:33	ga_ls7e_ard_3-2-0_112081_2021-06-14_final
2021-06-24 09:35:32	ga_ls7e_ard_3-2-0_102075_2021-06-24_final
2021-06-27 08:29:42	ga_ls7e_ard_3-2-0_091081_2021-06-26_final
2021-06-29 09:56:27	ga_ls7e_ard_3-2-0_105082_2021-06-29_final
2021-07-09 10:33:29	ga_ls7e_ard_3-2-0_111084_2021-07-09_final
2021-07-12 09:23:39	ga_ls7e_ard_3-2-0_100080_2021-07-11_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-29 10:04:15	ga_ls7e_ard_3-2-0_107077_2021-07-29_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-08-02 09:40:22	ga_ls7e_ard_3-2-0_103080_2021-08-02_final
2021-08-08 10:39:38	ga_ls7e_ard_3-2-0_113075_2021-08-08_final
2021-08-12 08:39:17	ga_ls7e_ard_3-2-0_093084_2021-08-11_final
2021-08-19 08:44:50	ga_ls7e_ard_3-2-0_094084_2021-08-18_final
2021-08-28 08:34:18	ga_ls7e_ard_3-2-0_093075_2021-08-27_final
2021-09-04 10:18:21	ga_ls7e_ard_3-2-0_110074_2021-09-04_final
2021-09-20 08:41:15	ga_ls7e_ard_3-2-0_094082_2021-09-19_final
2021-09-20 10:18:08	ga_ls7e_ard_3-2-0_110077_2021-09-20_final
2021-10-13 10:18:41	ga_ls7e_ard_3-2-0_111068_2021-10-13_final
2021-11-03 10:38:29	ga_ls7e_ard_3-2-0_114076_2021-11-03_final
2021-11-05 08:48:16	ga_ls7e_ard_3-2-0_096079_2021-11-04_final
2021-11-09 08:23:57	ga_ls7e_ard_3-2-0_092081_2021-11-08_final
2021-11-14 08:39:13	ga_ls7e_ard_3-2-1_095074_2021-11-13_final
2021-11-16 08:29:27	ga_ls7e_ard_3-2-1_093081_2021-11-15_final
2021-11-23 08:34:33	ga_ls7e_ard_3-2-1_094080_2021-11-22_final
2021-12-01 09:20:03	ga_ls7e_ard_3-2-1_102072_2021-11-30_final
2021-12-05 10:34:38	ga_ls7e_ard_3-2-1_114074_2021-12-05_final
2021-12-10 09:13:01	ga_ls7e_ard_3-2-1_101072_2021-12-09_final
2021-12-11 09:58:59	ga_ls7e_ard_3-2-1_108079_2021-12-11_final
2021-12-14 10:30:23	ga_ls7e_ard_3-2-1_113081_2021-12-14_final
2021-12-20 09:51:56	ga_ls7e_ard_3-2-1_107079_2021-12-20_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-12 09:57:51	ga_ls7e_ard_3-2-1_108084_2022-01-12_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_final
2022-02-18 10:07:55	ga_ls7e_ard_3-2-1_111072_2022-02-18_final
2022-02-20 08:19:17	ga_ls7e_ard_3-2-1_093079_2022-02-19_final
2022-02-23 10:28:23	ga_ls7e_ard_3-2-1_114078_2022-02-23_final
2022-02-24 09:34:16	ga_ls7e_ard_3-2-1_105082_2022-02-24_final
2022-02-26 09:20:07	ga_ls7e_ard_3-2-1_103078_2022-02-25_final
2022-02-27 10:04:53	ga_ls7e_ard_3-2-1_110082_2022-02-27_final
2022-02-28 09:05:34	ga_ls7e_ard_3-2-1_101073_2022-02-27_final
2022-03-05 09:26:01	ga_ls7e_ard_3-2-1_104079_2022-03-04_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_final
2022-03-20 08:38:04	ga_ls7e_ard_3-2-1_097071_2022-03-19_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