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
1999-09-04 11:39:58	ga_ls7e_ard_3-0-0_114080_1999-09-04_final
1999-12-09 11:39:56	ga_ls7e_ard_3-0-0_114080_1999-12-09_final
2000-06-18 11:38:52	ga_ls7e_ard_3-0-0_114080_2000-06-18_final
2000-10-15 11:41:42	ga_ls7e_ard_3-0-0_115076_2000-10-15_final
2000-12-11 11:37:47	ga_ls7e_ard_3-0-0_114081_2000-12-11_final
2001-07-23 11:36:42	ga_ls7e_ard_3-0-0_114081_2001-07-23_final
2001-11-03 11:39:09	ga_ls7e_ard_3-0-0_115074_2001-11-03_final
2001-12-30 11:35:38	ga_ls7e_ard_3-0-0_114080_2001-12-30_final
2002-12-01 11:35:16	ga_ls7e_ard_3-0-0_114080_2002-12-01_final
2004-08-07 11:41:36	ga_ls7e_ard_3-0-0_115079_2004-08-07_final
2005-01-23 11:36:25	ga_ls7e_ard_3-0-0_114080_2005-01-23_final
2009-06-11 11:37:03	ga_ls7e_ard_3-0-0_114079_2009-06-11_final
2009-11-02 11:37:03	ga_ls7e_ard_3-0-0_114079_2009-11-02_final
2009-11-25 11:42:44	ga_ls7e_ard_3-1-0_115077_2009-11-25_final
2010-04-02 11:44:12	ga_ls7e_ard_3-1-0_115077_2010-04-02_final
2010-05-29 11:39:33	ga_ls7e_ard_3-0-0_114081_2010-05-29_final
2010-10-20 11:39:03	ga_ls7e_ard_3-0-0_114079_2010-10-20_final
2011-04-14 11:40:14	ga_ls7e_ard_3-0-0_114079_2011-04-14_final
2011-06-01 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-06-01_final
2011-08-04 11:40:52	ga_ls7e_ard_3-0-0_114081_2011-08-04_final
2012-08-29 11:48:03	ga_ls7e_ard_3-0-0_115079_2012-08-29_final
2012-09-07 11:42:24	ga_ls7e_ard_3-0-0_114080_2012-09-07_final
2013-04-03 11:43:04	ga_ls7e_ard_3-0-0_114080_2013-04-03_final
2013-06-06 11:42:18	ga_ls7e_ard_3-0-0_114079_2013-06-06_final
2013-08-16 11:47:18	ga_ls7e_ard_3-1-0_115077_2013-08-16_final
2013-09-17 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-09-17_final
2014-02-24 11:48:43	ga_ls7e_ard_3-1-0_115077_2014-02-24_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-07-02 11:48:43	ga_ls7e_ard_3-0-0_115075_2014-07-02_final
2014-10-31 11:44:46	ga_ls7e_ard_3-0-0_114079_2014-10-31_final
2014-11-07 11:49:26	ga_ls7e_ard_3-0-0_115075_2014-11-07_final
2015-06-03 11:51:32	ga_ls7e_ard_3-1-0_115077_2015-06-03_final
2017-01-24 11:48:40	ga_ls7e_ard_3-0-0_114079_2017-01-24_final
2017-06-17 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-06-17_final
2017-10-30 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-30_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-08-23 11:45:26	ga_ls7e_ard_3-0-0_114080_2018-08-23_final
2018-09-15 11:50:43	ga_ls7e_ard_3-0-0_115079_2018-09-15_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-06-14 11:40:28	ga_ls7e_ard_3-0-0_115074_2019-06-14_final
2020-01-17 11:26:43	ga_ls7e_ard_3-1-0_114079_2020-01-17_final
2020-11-21 09:47:22	ga_ls7e_ard_3-1-0_101078_2020-11-21_final
2020-11-22 08:52:04	ga_ls7e_ard_3-1-0_092079_2020-11-21_final
2020-11-23 09:33:40	ga_ls7e_ard_3-1-0_099075_2020-11-23_final
2020-11-25 09:21:09	ga_ls7e_ard_3-1-0_097075_2020-11-24_final
2020-11-25 11:01:14	ga_ls7e_ard_3-1-0_113078_2020-11-25_final
2020-11-25 11:01:38	ga_ls7e_ard_3-1-0_113079_2020-11-25_final
2020-11-25 11:02:50	ga_ls7e_ard_3-1-0_113082_2020-11-25_final
2020-11-26 10:03:57	ga_ls7e_ard_3-1-0_104074_2020-11-26_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2020-11-28 09:52:14	ga_ls7e_ard_3-1-0_102076_2020-11-28_final
2020-11-28 09:54:38	ga_ls7e_ard_3-1-0_102082_2020-11-28_final
2020-12-01 10:21:19	ga_ls7e_ard_3-1-0_107072_2020-12-01_final
2020-12-07 09:47:24	ga_ls7e_ard_3-1-0_101081_2020-12-07_final
2020-12-09 11:12:58	ga_ls7e_ard_3-1-0_115079_2020-12-09_final
2020-12-17 08:44:02	ga_ls7e_ard_3-1-0_091079_2020-12-16_final
2020-12-18 09:24:50	ga_ls7e_ard_3-1-0_098073_2020-12-17_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2020-12-24 08:52:05	ga_ls7e_ard_3-1-0_092085_2020-12-23_final
2020-12-27 10:59:16	ga_ls7e_ard_3-1-0_113079_2020-12-27_final
2020-12-28 10:03:35	ga_ls7e_ard_3-1-0_104079_2020-12-28_final
2020-12-29 09:09:53	ga_ls7e_ard_3-1-0_095084_2020-12-28_final
2020-12-30 09:51:05	ga_ls7e_ard_3-1-0_102079_2020-12-30_final
2021-01-02 10:19:23	ga_ls7e_ard_3-1-0_107073_2021-01-02_final
2021-01-09 08:50:11	ga_ls7e_ard_3-1-0_092083_2021-01-08_final
2021-01-09 10:24:17	ga_ls7e_ard_3-1-0_108071_2021-01-09_final
2021-01-18 08:42:58	ga_ls7e_ard_3-1-0_091082_2021-01-17_final
2021-01-21 10:51:44	ga_ls7e_ard_3-2-0_112080_2021-01-21_final
2021-01-25 08:47:51	ga_ls7e_ard_3-2-0_092080_2021-01-24_final
2021-01-28 10:59:00	ga_ls7e_ard_3-2-0_113084_2021-01-28_final
2021-02-02 09:37:06	ga_ls7e_ard_3-2-0_100081_2021-02-02_final
2021-02-03 08:41:48	ga_ls7e_ard_3-2-0_091082_2021-02-02_final
2021-02-08 10:38:03	ga_ls7e_ard_3-2-0_110080_2021-02-08_final
2021-02-14 10:00:32	ga_ls7e_ard_3-2-0_104080_2021-02-14_final
2021-02-17 08:53:31	ga_ls7e_ard_3-2-0_093083_2021-02-16_final
2021-02-22 09:11:17	ga_ls7e_ard_3-2-0_096082_2021-02-21_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-19 09:01:33	ga_ls7e_ard_3-2-0_095078_2021-03-18_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-03-25 10:03:16	ga_ls7e_ard_3-2-0_105079_2021-03-25_final
2021-03-27 09:50:20	ga_ls7e_ard_3-2-0_103078_2021-03-27_final
2021-03-28 08:55:02	ga_ls7e_ard_3-2-0_094079_2021-03-27_final
2021-03-28 08:57:26	ga_ls7e_ard_3-2-0_094085_2021-03-27_final
2021-03-30 10:20:12	ga_ls7e_ard_3-2-0_108076_2021-03-30_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-02 09:14:22	ga_ls7e_ard_3-2-0_097082_2021-04-01_final
2021-04-04 09:02:14	ga_ls7e_ard_3-2-0_095083_2021-04-03_final
2021-04-06 08:48:07	ga_ls7e_ard_3-2-0_093079_2021-04-05_final
2021-04-07 09:29:18	ga_ls7e_ard_3-2-0_100074_2021-04-06_final
2021-04-09 09:17:34	ga_ls7e_ard_3-2-0_098076_2021-04-08_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-22 10:26:51	ga_ls7e_ard_3-2-0_109082_2021-04-22_final
2021-04-28 09:46:04	ga_ls7e_ard_3-2-0_103074_2021-04-28_final
2021-04-29 08:50:46	ga_ls7e_ard_3-2-0_094075_2021-04-28_final
2021-04-29 08:54:21	ga_ls7e_ard_3-2-0_094084_2021-04-28_final
2021-05-02 09:20:37	ga_ls7e_ard_3-2-0_099073_2021-05-01_final
2021-05-07 09:40:20	ga_ls7e_ard_3-2-0_102077_2021-05-07_final
2021-05-10 08:32:06	ga_ls7e_ard_3-2-0_091077_2021-05-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years