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
2000-02-22 09:42:37	ga_ls7e_ard_3-0-0_095081_2000-02-22_final
2000-03-25 09:43:47	ga_ls7e_ard_3-0-0_095084_2000-03-25_final
2000-11-20 09:39:55	ga_ls7e_ard_3-0-0_095080_2000-11-20_final
2001-02-08 09:40:00	ga_ls7e_ard_3-0-0_095080_2001-02-08_final
2001-02-24 09:40:22	ga_ls7e_ard_3-0-0_095081_2001-02-24_final
2001-03-28 09:40:57	ga_ls7e_ard_3-0-0_095083_2001-03-28_final
2001-11-23 09:39:20	ga_ls7e_ard_3-0-0_095083_2001-11-23_final
2002-03-31 09:38:47	ga_ls7e_ard_3-0-0_095081_2002-03-31_final
2002-07-21 09:37:53	ga_ls7e_ard_3-0-0_095080_2002-07-21_final
2002-11-10 09:37:52	ga_ls7e_ard_3-0-0_095081_2002-11-10_final
2002-12-28 09:38:20	ga_ls7e_ard_3-0-0_095081_2002-12-28_final
2002-12-28 09:40:44	ga_ls7e_ard_3-0-0_095087_2002-12-28_final
2003-10-12 09:38:53	ga_ls7e_ard_3-0-0_095083_2003-10-12_final
2005-11-02 09:40:33	ga_ls7e_ard_3-0-0_095084_2005-11-02_final
2007-04-14 09:40:30	ga_ls7e_ard_3-0-0_095081_2007-04-14_final
2007-04-30 09:40:27	ga_ls7e_ard_3-0-0_095081_2007-04-30_final
2007-11-08 09:40:03	ga_ls7e_ard_3-0-0_095081_2007-11-08_final
2008-06-19 09:39:42	ga_ls7e_ard_3-0-0_095081_2008-06-19_final
2011-04-09 09:45:13	ga_ls7e_ard_3-0-0_095085_2011-04-09_final
2011-04-25 09:43:36	ga_ls7e_ard_3-0-0_095081_2011-04-25_final
2014-04-01 09:46:58	ga_ls7e_ard_3-0-0_095081_2014-04-01_final
2014-07-22 09:47:10	ga_ls7e_ard_3-0-0_095080_2014-07-22_final
2014-12-29 09:48:30	ga_ls7e_ard_3-0-0_095081_2014-12-29_final
2015-06-23 09:50:48	ga_ls7e_ard_3-0-0_095084_2015-06-23_final
2015-08-26 09:49:26	ga_ls7e_ard_3-0-0_095080_2015-08-26_final
2015-10-29 09:50:25	ga_ls7e_ard_3-0-0_095081_2015-10-29_final
2016-02-18 09:51:52	ga_ls7e_ard_3-0-0_095081_2016-02-18_final
2016-06-25 09:52:34	ga_ls7e_ard_3-0-0_095081_2016-06-25_final
2017-04-25 09:51:36	ga_ls7e_ard_3-1-0_095079_2017-04-25_final
2018-06-15 09:49:18	ga_ls7e_ard_3-0-0_095080_2018-06-15_final
2018-09-03 09:48:59	ga_ls7e_ard_3-0-0_095083_2018-09-03_final
2018-10-05 09:47:27	ga_ls7e_ard_3-0-0_095081_2018-10-05_final
2020-07-22 09:19:27	ga_ls7e_ard_3-1-0_095081_2020-07-21_final
2021-02-15 09:06:26	ga_ls7e_ard_3-2-0_095084_2021-02-14_final
2021-02-15 10:42:55	ga_ls7e_ard_3-2-0_111078_2021-02-15_final
2021-02-28 10:11:25	ga_ls7e_ard_3-2-0_106079_2021-02-28_final
2021-03-07 08:38:59	ga_ls7e_ard_3-2-0_091081_2021-03-06_final
2021-03-10 10:47:19	ga_ls7e_ard_3-2-0_112078_2021-03-10_final
2021-03-19 10:41:13	ga_ls7e_ard_3-2-0_111080_2021-03-19_final
2021-03-23 10:14:59	ga_ls7e_ard_3-2-0_107077_2021-03-23_final
2021-03-26 09:06:46	ga_ls7e_ard_3-2-0_096077_2021-03-25_final
2021-03-29 09:37:01	ga_ls7e_ard_3-2-0_101076_2021-03-29_final
2021-04-01 10:08:52	ga_ls7e_ard_3-2-0_106079_2021-04-01_final
2021-04-02 09:14:46	ga_ls7e_ard_3-2-0_097083_2021-04-01_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-12 09:47:01	ga_ls7e_ard_3-2-0_103073_2021-04-12_final
2021-04-13 08:54:55	ga_ls7e_ard_3-2-0_094082_2021-04-12_final
2021-04-24 08:35:50	ga_ls7e_ard_3-2-0_091083_2021-04-23_final
2021-04-27 09:03:17	ga_ls7e_ard_3-2-0_096075_2021-04-26_final
2021-04-28 09:47:16	ga_ls7e_ard_3-2-0_103077_2021-04-28_final
2021-04-29 08:51:58	ga_ls7e_ard_3-2-0_094078_2021-04-28_final
2021-04-29 08:54:21	ga_ls7e_ard_3-2-0_094084_2021-04-28_final
2021-05-01 10:19:31	ga_ls7e_ard_3-2-0_108081_2021-05-01_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-13 10:40:50	ga_ls7e_ard_3-2-0_112075_2021-05-13_final
2021-05-13 10:42:26	ga_ls7e_ard_3-2-0_112079_2021-05-13_final
2021-05-14 09:45:32	ga_ls7e_ard_3-2-0_103076_2021-05-14_final
2021-05-27 09:12:20	ga_ls7e_ard_3-2-0_098073_2021-05-26_final
2021-06-14 10:39:21	ga_ls7e_ard_3-2-0_112078_2021-06-14_final
2021-06-14 10:40:09	ga_ls7e_ard_3-2-0_112080_2021-06-14_final
2021-06-27 10:05:23	ga_ls7e_ard_3-2-0_107073_2021-06-27_final
2021-06-30 10:38:02	ga_ls7e_ard_3-2-0_112078_2021-06-30_final
2021-07-02 08:47:49	ga_ls7e_ard_3-2-0_094081_2021-07-01_final
2021-07-08 09:49:07	ga_ls7e_ard_3-2-0_104081_2021-07-08_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-08-01 08:58:00	ga_ls7e_ard_3-2-0_096082_2021-07-31_final
2021-08-02 09:39:10	ga_ls7e_ard_3-2-0_103077_2021-08-02_final
2021-08-03 08:44:16	ga_ls7e_ard_3-2-0_094079_2021-08-02_final
2021-08-03 08:44:40	ga_ls7e_ard_3-2-0_094080_2021-08-02_final
2021-08-14 10:02:49	ga_ls7e_ard_3-2-0_107077_2021-08-14_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-08-19 08:42:50	ga_ls7e_ard_3-2-0_094079_2021-08-18_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-13 08:35:17	ga_ls7e_ard_3-2-0_093081_2021-09-12_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-27 08:47:59	ga_ls7e_ard_3-2-0_095085_2021-09-26_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-17 09:59:11	ga_ls7e_ard_3-2-0_107082_2021-10-17_final
2021-10-20 10:27:49	ga_ls7e_ard_3-2-0_112077_2021-10-20_final
2021-10-29 08:43:32	ga_ls7e_ard_3-2-0_095081_2021-10-28_final
2021-11-07 08:35:43	ga_ls7e_ard_3-2-0_094079_2021-11-06_final
2021-11-09 08:24:21	ga_ls7e_ard_3-2-0_092082_2021-11-08_final
2021-11-21 08:47:06	ga_ls7e_ard_3-2-1_096080_2021-11-20_final
2021-11-28 10:30:42	ga_ls7e_ard_3-2-1_113078_2021-11-28_final
2021-11-30 08:40:04	ga_ls7e_ard_3-2-1_095080_2021-11-29_final
2022-01-02 09:19:43	ga_ls7e_ard_3-2-1_102079_2022-01-01_final
2022-01-11 09:11:29	ga_ls7e_ard_3-2-1_101076_2022-01-10_final
2022-01-30 09:42:09	ga_ls7e_ard_3-2-1_106080_2022-01-30_final
2022-02-06 09:46:25	ga_ls7e_ard_3-2-1_107077_2022-02-06_final
2022-02-08 09:31:52	ga_ls7e_ard_3-2-1_105072_2022-02-08_final
2022-02-16 08:45:11	ga_ls7e_ard_3-2-1_097081_2022-02-15_final
2022-02-24 09:29:53	ga_ls7e_ard_3-2-1_105071_2022-02-23_final
2022-03-06 08:31:06	ga_ls7e_ard_3-2-1_095081_2022-03-05_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-07 09:13:04	ga_ls7e_ard_3-2-1_102078_2022-03-06_final
2022-03-12 09:28:42	ga_ls7e_ard_3-2-1_105072_2022-03-11_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_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