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
1999-10-01 09:43:01	ga_ls7e_ard_3-0-0_095081_1999-10-01_final
1999-10-01 09:44:13	ga_ls7e_ard_3-0-0_095084_1999-10-01_final
1999-10-01 09:45:01	ga_ls7e_ard_3-0-0_095086_1999-10-01_final
1999-11-02 09:42:52	ga_ls7e_ard_3-0-0_095081_1999-11-02_final
2000-01-05 09:44:01	ga_ls7e_ard_3-0-0_095084_2000-01-05_final
2000-03-25 09:42:59	ga_ls7e_ard_3-0-0_095082_2000-03-25_final
2000-03-25 09:44:35	ga_ls7e_ard_3-0-0_095086_2000-03-25_final
2000-06-13 09:41:27	ga_ls7e_ard_3-0-0_095080_2000-06-13_final
2000-09-17 09:41:20	ga_ls7e_ard_3-0-0_095083_2000-09-17_final
2000-11-20 09:37:31	ga_ls7e_ard_3-0-0_095074_2000-11-20_final
2000-11-20 09:41:31	ga_ls7e_ard_3-0-0_095084_2000-11-20_final
2000-12-06 09:41:29	ga_ls7e_ard_3-0-0_095084_2000-12-06_final
2001-01-07 09:40:02	ga_ls7e_ard_3-0-0_095080_2001-01-07_final
2001-04-13 09:42:06	ga_ls7e_ard_3-0-0_095086_2001-04-13_final
2001-10-06 09:35:03	ga_ls7e_ard_3-1-0_095073_2001-10-06_final
2001-12-25 09:39:05	ga_ls7e_ard_3-0-0_095082_2001-12-25_final
2002-01-10 09:36:22	ga_ls7e_ard_3-0-0_095075_2002-01-10_final
2002-02-27 09:36:33	ga_ls7e_ard_3-0-0_095075_2002-02-27_final
2002-11-10 09:34:17	ga_ls7e_ard_3-0-0_095072_2002-11-10_final
2003-01-29 09:39:18	ga_ls7e_ard_3-0-0_095083_2003-01-29_final
2003-02-14 09:37:05	ga_ls7e_ard_3-0-0_095077_2003-02-14_final
2003-05-21 09:38:16	ga_ls7e_ard_3-0-0_095080_2003-05-21_final
2003-09-26 09:34:59	ga_ls7e_ard_3-1-0_095073_2003-09-26_final
2004-01-16 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-01-16_final
2004-04-21 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-04-21_final
2004-05-07 09:37:59	ga_ls7e_ard_3-0-0_095078_2004-05-07_final
2004-10-30 09:40:50	ga_ls7e_ard_3-0-0_095086_2004-10-30_final
2005-07-29 09:33:49	ga_ls7e_ard_3-0-0_095067_2005-07-29_final
2005-10-17 09:39:56	ga_ls7e_ard_3-0-0_095083_2005-10-17_final
2005-12-04 09:40:23	ga_ls7e_ard_3-0-0_095083_2005-12-04_final
2007-10-07 09:39:16	ga_ls7e_ard_3-0-0_095080_2007-10-07_final
2008-03-31 09:39:45	ga_ls7e_ard_3-0-0_095080_2008-03-31_final
2010-12-18 09:44:14	ga_ls7e_ard_3-0-0_095084_2010-12-18_final
2011-02-20 09:44:16	ga_ls7e_ard_3-0-0_095083_2011-02-20_final
2011-10-02 09:40:28	ga_ls7e_ard_3-0-0_095074_2011-10-02_final
2012-01-22 09:41:12	ga_ls7e_ard_3-0-0_095074_2012-01-22_final
2012-02-23 09:43:44	ga_ls7e_ard_3-0-0_095080_2012-02-23_final
2013-07-18 09:02:30	ga_ls7e_ard_3-0-0_088082_2013-07-17_final
2014-02-27 09:03:51	ga_ls7e_ard_3-0-0_088082_2014-02-26_final
2015-05-22 09:46:40	ga_ls7e_ard_3-0-0_095074_2015-05-22_final
2016-11-16 09:49:20	ga_ls7e_ard_3-1-0_095073_2016-11-16_final
2018-02-23 09:52:14	ga_ls7e_ard_3-0-0_095083_2018-02-23_final
2018-11-06 09:43:31	ga_ls7e_ard_3-1-0_095073_2018-11-06_final
2019-01-09 09:42:35	ga_ls7e_ard_3-0-0_095075_2019-01-09_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-11-25 09:33:33	ga_ls7e_ard_3-1-0_095083_2019-11-25_final
2019-12-11 09:29:35	ga_ls7e_ard_3-1-0_095075_2019-12-10_final
2020-05-19 09:24:52	ga_ls7e_ard_3-1-0_095085_2020-05-18_final
2020-09-08 09:18:23	ga_ls7e_ard_3-1-0_095086_2020-09-07_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-10 10:48:07	ga_ls7e_ard_3-2-0_112080_2021-03-10_final
2021-04-01 10:09:16	ga_ls7e_ard_3-2-0_106080_2021-04-01_final
2021-04-26 10:00:11	ga_ls7e_ard_3-2-0_105078_2021-04-26_final
2021-05-16 09:32:12	ga_ls7e_ard_3-2-0_101074_2021-05-16_final
2021-06-13 09:52:11	ga_ls7e_ard_3-2-0_105068_2021-06-13_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-25 08:43:01	ga_ls7e_ard_3-2-0_093083_2021-06-24_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-11 09:31:00	ga_ls7e_ard_3-2-0_102074_2021-08-11_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-14 09:14:28	ga_ls7e_ard_3-2-0_100071_2021-09-13_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-09-21 09:20:01	ga_ls7e_ard_3-2-0_101071_2021-09-20_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-09-27 10:21:41	ga_ls7e_ard_3-2-0_111072_2021-09-27_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-17 08:18:43	ga_ls7e_ard_3-2-0_091078_2021-10-16_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-10-29 08:40:21	ga_ls7e_ard_3-2-0_095073_2021-10-28_final
2021-10-31 10:07:28	ga_ls7e_ard_3-2-0_109075_2021-10-31_final
2021-11-02 09:56:07	ga_ls7e_ard_3-2-0_107078_2021-11-02_final
2021-11-16 10:08:44	ga_ls7e_ard_3-2-1_109082_2021-11-16_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-21 08:47:06	ga_ls7e_ard_3-2-1_096080_2021-11-20_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-06 09:39:43	ga_ls7e_ard_3-2-1_105076_2021-12-06_final
2021-12-08 09:28:22	ga_ls7e_ard_3-2-1_103079_2021-12-07_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-11 09:11:05	ga_ls7e_ard_3-2-1_101075_2022-01-10_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-21 09:48:01	ga_ls7e_ard_3-2-1_107077_2022-01-21_final
2022-02-06 09:46:02	ga_ls7e_ard_3-2-1_107076_2022-02-06_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-18 10:12:43	ga_ls7e_ard_3-2-1_111084_2022-02-18_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-24 09:29:29	ga_ls7e_ard_3-2-1_105070_2022-02-23_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_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