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
1999-12-07 11:51:29	ga_ls7e_ard_3-0-0_116078_1999-12-07_final
2000-02-22 09:43:49	ga_ls7e_ard_3-0-0_095084_2000-02-22_final
2001-12-09 09:40:11	ga_ls7e_ard_3-0-0_095085_2001-12-09_final
2003-04-02 08:55:27	ga_ls7e_ard_3-0-0_088081_2003-04-01_final
2003-08-09 09:34:48	ga_ls7e_ard_3-0-0_095072_2003-08-09_final
2003-11-25 11:41:28	ga_ls7e_ard_3-0-0_115079_2003-11-25_final
2004-04-21 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-04-21_final
2004-06-20 11:39:50	ga_ls7e_ard_3-0-0_115074_2004-06-20_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-07-10 09:40:35	ga_ls7e_ard_3-0-0_095085_2004-07-10_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2004-10-19 11:33:18	ga_ls7e_ard_3-0-0_114074_2004-10-19_final
2004-12-22 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-12-22_final
2004-12-22 11:36:17	ga_ls7e_ard_3-0-0_114080_2004-12-22_final
2005-01-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2005-01-02_final
2005-02-24 11:31:29	ga_ls7e_ard_3-0-0_114067_2005-02-24_final
2005-03-12 11:35:32	ga_ls7e_ard_3-0-0_114077_2005-03-12_final
2005-10-01 09:40:40	ga_ls7e_ard_3-0-0_095085_2005-10-01_final
2005-11-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2005-11-02_final
2005-12-09 11:34:38	ga_ls7e_ard_3-0-0_114075_2005-12-09_final
2006-02-11 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-02-11_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-04-25 11:32:03	ga_ls7e_ard_3-0-0_113083_2006-04-25_final
2007-07-03 09:42:38	ga_ls7e_ard_3-0-0_095087_2007-07-03_final
2007-11-29 11:35:39	ga_ls7e_ard_3-0-0_114076_2007-11-29_final
2008-08-11 11:36:36	ga_ls7e_ard_3-0-0_114081_2008-08-11_final
2009-02-14 09:39:05	ga_ls7e_ard_3-1-0_095079_2009-02-14_final
2009-03-30 11:43:03	ga_ls7e_ard_3-0-0_115079_2009-03-30_final
2009-10-17 11:37:35	ga_ls7e_ard_3-0-0_114081_2009-10-17_final
2010-11-30 11:35:20	ga_ls7e_ard_3-0-0_113084_2010-11-30_final
2011-12-19 11:35:54	ga_ls7e_ard_3-0-0_113083_2011-12-19_final
2012-03-31 11:41:08	ga_ls7e_ard_3-0-0_114080_2012-03-31_final
2012-06-28 11:35:45	ga_ls7e_ard_3-0-0_113081_2012-06-28_final
2012-08-16 09:02:17	ga_ls7e_ard_3-0-0_088082_2012-08-15_final
2012-09-07 11:42:48	ga_ls7e_ard_3-0-0_114081_2012-09-07_final
2012-12-12 11:41:29	ga_ls7e_ard_3-0-0_114076_2012-12-12_final
2012-12-28 11:43:11	ga_ls7e_ard_3-0-0_114080_2012-12-28_final
2013-02-07 11:38:39	ga_ls7e_ard_3-0-0_113084_2013-02-07_final
2013-02-09 09:48:36	ga_ls7e_ard_3-0-0_095087_2013-02-09_final
2013-05-14 11:38:19	ga_ls7e_ard_3-0-0_113084_2013-05-14_final
2014-07-06 09:49:07	ga_ls7e_ard_3-0-0_095085_2014-07-06_final
2015-09-09 11:42:20	ga_ls7e_ard_3-0-0_113084_2015-09-09_final
2015-11-30 09:51:42	ga_ls7e_ard_3-0-0_095083_2015-11-30_final
2016-01-06 11:47:43	ga_ls7e_ard_3-0-0_114078_2016-01-06_final
2016-05-24 09:49:15	ga_ls7e_ard_3-1-0_095073_2016-05-24_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2017-06-28 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-06-28_final
2017-12-03 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-12-03_final
2018-01-02 11:54:57	ga_ls7e_ard_3-0-0_115079_2018-01-02_final
2018-01-20 11:44:20	ga_ls7e_ard_3-0-0_113084_2018-01-20_final
2018-02-21 11:43:30	ga_ls7e_ard_3-0-0_113083_2018-02-21_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-04-06 11:20:52	ga_ls7e_ard_3-1-0_114075_2020-04-06_final
2020-08-07 09:14:51	ga_ls7e_ard_3-1-0_095072_2020-08-06_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-11 09:29:03	ga_ls7e_ard_3-2-0_099078_2021-02-10_final
2021-02-28 10:10:37	ga_ls7e_ard_3-2-0_106077_2021-02-28_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-06-09 08:45:32	ga_ls7e_ard_3-2-0_093086_2021-06-08_final
2021-06-11 08:31:01	ga_ls7e_ard_3-2-0_091081_2021-06-10_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-06-24 09:38:20	ga_ls7e_ard_3-2-0_102082_2021-06-24_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-07-31 08:15:14	ga_ls7e_ard_3-2-0_089083_2021-07-30_final
2021-08-06 09:14:54	ga_ls7e_ard_3-2-0_099079_2021-08-05_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-17 08:58:10	ga_ls7e_ard_3-2-0_096086_2021-08-16_final
2021-08-21 08:33:06	ga_ls7e_ard_3-2-0_092086_2021-08-20_final
2021-08-22 09:12:41	ga_ls7e_ard_3-2-0_099077_2021-08-21_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-08-29 09:18:40	ga_ls7e_ard_3-2-0_100078_2021-08-28_final
2021-09-27 10:22:05	ga_ls7e_ard_3-2-0_111073_2021-09-27_final
2021-10-11 08:54:44	ga_ls7e_ard_3-2-0_097074_2021-10-10_final
2021-10-30 09:25:06	ga_ls7e_ard_3-2-0_102077_2021-10-29_final
2021-11-21 10:27:34	ga_ls7e_ard_3-2-1_112084_2021-11-21_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-11-26 09:04:22	ga_ls7e_ard_3-2-1_099078_2021-11-25_final
2021-12-12 09:02:52	ga_ls7e_ard_3-2-1_099078_2021-12-11_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2022-01-04 09:06:22	ga_ls7e_ard_3-2-1_100077_2022-01-03_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-02-04 09:56:12	ga_ls7e_ard_3-2-1_109070_2022-02-04_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-26 09:16:08	ga_ls7e_ard_3-2-1_103068_2022-02-25_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-12 09:30:18	ga_ls7e_ard_3-2-1_105076_2022-03-12_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_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