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
2000-12-06 09:42:17	ga_ls7e_ard_3-0-0_095086_2000-12-06_final
2001-08-03 09:41:06	ga_ls7e_ard_3-0-0_095086_2001-08-03_final
2002-02-27 09:38:57	ga_ls7e_ard_3-0-0_095081_2002-02-27_final
2002-09-23 09:34:34	ga_ls7e_ard_3-1-0_095073_2002-09-23_final
2002-09-23 09:37:46	ga_ls7e_ard_3-0-0_095081_2002-09-23_final
2003-01-29 09:38:06	ga_ls7e_ard_3-0-0_095080_2003-01-29_final
2003-05-21 09:40:39	ga_ls7e_ard_3-0-0_095086_2003-05-21_final
2003-12-15 09:40:22	ga_ls7e_ard_3-0-0_095085_2003-12-15_final
2003-12-31 09:40:06	ga_ls7e_ard_3-0-0_095084_2003-12-31_final
2005-01-18 09:40:12	ga_ls7e_ard_3-0-0_095083_2005-01-18_final
2005-10-01 09:38:40	ga_ls7e_ard_3-0-0_095080_2005-10-01_final
2006-05-13 09:40:52	ga_ls7e_ard_3-0-0_095083_2006-05-13_final
2006-05-29 09:37:16	ga_ls7e_ard_3-0-0_095074_2006-05-29_final
2007-01-08 09:39:49	ga_ls7e_ard_3-0-0_095080_2007-01-08_final
2007-01-24 09:41:28	ga_ls7e_ard_3-0-0_095084_2007-01-24_final
2007-03-13 09:40:31	ga_ls7e_ard_3-0-0_095081_2007-03-13_final
2007-12-10 09:41:52	ga_ls7e_ard_3-0-0_095085_2007-12-10_final
2008-12-28 09:38:00	ga_ls7e_ard_3-0-0_095077_2008-12-28_final
2011-02-04 09:42:12	ga_ls7e_ard_3-0-0_095078_2011-02-04_final
2011-07-14 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-07-14_final
2011-12-21 09:41:05	ga_ls7e_ard_3-0-0_095074_2011-12-21_final
2012-01-06 09:41:13	ga_ls7e_ard_3-0-0_095074_2012-01-06_final
2012-01-22 09:44:47	ga_ls7e_ard_3-0-0_095083_2012-01-22_final
2012-02-07 09:41:18	ga_ls7e_ard_3-0-0_095074_2012-02-07_final
2012-03-26 09:45:19	ga_ls7e_ard_3-0-0_095084_2012-03-26_final
2012-09-18 09:43:03	ga_ls7e_ard_3-0-0_095075_2012-09-18_final
2012-09-18 09:47:26	ga_ls7e_ard_3-0-0_095086_2012-09-18_final
2013-12-26 09:45:12	ga_ls7e_ard_3-0-0_095078_2013-12-26_final
2014-01-27 09:48:47	ga_ls7e_ard_3-0-0_095086_2014-01-27_final
2014-04-17 09:47:30	ga_ls7e_ard_3-0-0_095082_2014-04-17_final
2015-05-06 09:49:44	ga_ls7e_ard_3-0-0_095082_2015-05-06_final
2015-08-26 09:50:38	ga_ls7e_ard_3-0-0_095083_2015-08-26_final
2016-03-05 09:53:12	ga_ls7e_ard_3-0-0_095084_2016-03-05_final
2016-04-22 09:53:31	ga_ls7e_ard_3-0-0_095084_2016-04-22_final
2017-08-31 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-08-31_final
2017-12-21 09:53:30	ga_ls7e_ard_3-0-0_095084_2017-12-21_final
2018-02-07 09:53:11	ga_ls7e_ard_3-0-0_095085_2018-02-07_final
2018-10-21 09:47:04	ga_ls7e_ard_3-0-0_095081_2018-10-21_final
2019-01-25 09:42:28	ga_ls7e_ard_3-0-0_095076_2019-01-25_final
2019-12-11 09:33:34	ga_ls7e_ard_3-1-0_095085_2019-12-11_final
2020-05-19 09:24:04	ga_ls7e_ard_3-1-0_095083_2020-05-18_final
2021-02-12 08:37:45	ga_ls7e_ard_3-2-0_090089_2021-02-11_final
2021-02-17 08:51:31	ga_ls7e_ard_3-2-0_093078_2021-02-16_final
2021-02-20 09:22:36	ga_ls7e_ard_3-2-0_098079_2021-02-19_final
2021-02-21 08:27:18	ga_ls7e_ard_3-2-0_089080_2021-02-20_final
2021-02-22 10:50:57	ga_ls7e_ard_3-2-0_112084_2021-02-22_final
2021-02-27 09:27:02	ga_ls7e_ard_3-2-0_099076_2021-02-26_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-03-30 10:18:36	ga_ls7e_ard_3-2-0_108072_2021-03-30_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-07 09:31:42	ga_ls7e_ard_3-2-0_100080_2021-04-07_final
2021-04-14 09:34:30	ga_ls7e_ard_3-2-0_101073_2021-04-14_final
2021-04-16 11:01:15	ga_ls7e_ard_3-2-0_115074_2021-04-16_final
2021-04-25 10:54:42	ga_ls7e_ard_3-2-0_114075_2021-04-25_final
2021-04-26 08:24:30	ga_ls7e_ard_3-2-0_089086_2021-04-25_final
2021-05-01 08:38:14	ga_ls7e_ard_3-2-0_092075_2021-04-30_final
2021-05-11 10:53:22	ga_ls7e_ard_3-2-0_114075_2021-05-11_final
2021-05-15 08:48:38	ga_ls7e_ard_3-2-0_094073_2021-05-14_final
2021-05-15 08:51:25	ga_ls7e_ard_3-2-0_094080_2021-05-14_final
2021-05-16 09:32:12	ga_ls7e_ard_3-2-0_101074_2021-05-16_final
2021-05-24 10:24:09	ga_ls7e_ard_3-2-0_109082_2021-05-24_final
2021-05-29 09:01:23	ga_ls7e_ard_3-2-0_096077_2021-05-28_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-10 09:23:07	ga_ls7e_ard_3-2-0_100072_2021-06-09_final
2021-06-15 09:40:04	ga_ls7e_ard_3-2-0_103069_2021-06-15_final
2021-06-27 08:28:06	ga_ls7e_ard_3-2-0_091077_2021-06-26_final
2021-07-04 08:35:17	ga_ls7e_ard_3-2-0_092081_2021-07-03_final
2021-07-06 09:56:51	ga_ls7e_ard_3-2-0_106069_2021-07-06_final
2021-07-24 09:44:33	ga_ls7e_ard_3-2-0_104073_2021-07-24_final
2021-07-30 09:06:33	ga_ls7e_ard_3-2-0_098072_2021-07-29_final
2021-08-01 08:57:12	ga_ls7e_ard_3-2-0_096080_2021-07-31_final
2021-08-07 09:58:04	ga_ls7e_ard_3-2-0_106079_2021-08-07_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-08-23 09:52:40	ga_ls7e_ard_3-2-0_106069_2021-08-23_final
2021-09-08 09:51:41	ga_ls7e_ard_3-2-0_106070_2021-09-08_final
2021-09-09 08:57:10	ga_ls7e_ard_3-2-0_097073_2021-09-08_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-09-18 08:49:48	ga_ls7e_ard_3-2-0_096072_2021-09-17_final
2021-09-27 10:24:52	ga_ls7e_ard_3-2-0_111080_2021-09-27_final
2021-10-02 09:02:30	ga_ls7e_ard_3-2-0_098076_2021-10-01_final
2021-10-13 08:43:23	ga_ls7e_ard_3-2-0_095077_2021-10-12_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-10 09:13:25	ga_ls7e_ard_3-2-1_101073_2021-12-09_final
2021-12-11 09:58:59	ga_ls7e_ard_3-2-1_108079_2021-12-11_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-24 09:27:13	ga_ls7e_ard_3-2-1_103080_2021-12-23_final
2022-01-08 08:38:28	ga_ls7e_ard_3-2-1_096070_2022-01-07_final
2022-01-10 10:07:36	ga_ls7e_ard_3-2-1_110077_2022-01-10_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-13 10:37:49	ga_ls7e_ard_3-2-1_115076_2022-01-13_final
2022-01-31 08:47:38	ga_ls7e_ard_3-2-1_097083_2022-01-30_final
2022-02-02 08:35:52	ga_ls7e_ard_3-2-1_095085_2022-02-01_final
2022-02-09 08:39:44	ga_ls7e_ard_3-2-1_096081_2022-02-08_final
2022-02-19 09:13:48	ga_ls7e_ard_3-2-1_102076_2022-02-18_final
2022-02-22 09:46:01	ga_ls7e_ard_3-2-1_107080_2022-02-22_final
2022-03-02 08:53:01	ga_ls7e_ard_3-2-1_099073_2022-03-01_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_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