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
2001-01-06 08:57:33	ga_ls7e_ard_3-0-0_088082_2001-01-05_final
2001-12-30 11:36:02	ga_ls7e_ard_3-0-0_114081_2001-12-30_final
2002-10-24 08:54:56	ga_ls7e_ard_3-0-0_088082_2002-10-23_final
2003-05-26 11:36:07	ga_ls7e_ard_3-0-0_114081_2003-05-26_final
2003-12-11 11:40:45	ga_ls7e_ard_3-1-0_115077_2003-12-11_final
2004-02-29 11:40:20	ga_ls7e_ard_3-0-0_115075_2004-02-29_final
2004-05-03 11:41:34	ga_ls7e_ard_3-0-0_115078_2004-05-03_final
2004-06-20 11:41:25	ga_ls7e_ard_3-0-0_115078_2004-06-20_final
2004-09-08 11:41:05	ga_ls7e_ard_3-0-0_115078_2004-09-08_final
2004-09-12 09:35:03	ga_ls7e_ard_3-0-0_095072_2004-09-12_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2004-11-11 11:40:08	ga_ls7e_ard_3-0-0_115075_2004-11-11_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-03-19 11:40:30	ga_ls7e_ard_3-0-0_115074_2005-03-19_final
2006-02-18 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-02-18_final
2006-05-25 11:40:52	ga_ls7e_ard_3-0-0_115074_2006-05-25_final
2006-06-10 11:41:14	ga_ls7e_ard_3-0-0_115075_2006-06-10_final
2006-07-28 11:40:54	ga_ls7e_ard_3-0-0_115075_2006-07-28_final
2007-12-31 11:36:58	ga_ls7e_ard_3-0-0_114079_2007-12-31_final
2008-12-28 09:34:00	ga_ls7e_ard_3-0-0_095067_2008-12-28_final
2009-03-01 08:56:46	ga_ls7e_ard_3-0-0_088081_2009-02-28_final
2009-08-05 11:42:37	ga_ls7e_ard_3-0-0_115078_2009-08-05_final
2009-11-09 11:41:20	ga_ls7e_ard_3-0-0_115074_2009-11-09_final
2010-02-01 09:44:08	ga_ls7e_ard_3-0-0_095087_2010-02-01_final
2010-03-01 11:44:50	ga_ls7e_ard_3-0-0_115079_2010-03-01_final
2010-05-13 11:38:21	ga_ls7e_ard_3-0-0_114078_2010-05-13_final
2011-03-08 09:37:58	ga_ls7e_ard_3-0-0_095067_2011-03-08_final
2011-06-24 11:45:57	ga_ls7e_ard_3-0-0_115078_2011-06-24_final
2013-01-13 11:42:22	ga_ls7e_ard_3-0-0_114078_2013-01-13_final
2013-08-04 09:47:15	ga_ls7e_ard_3-0-0_095086_2013-08-04_final
2014-04-17 09:41:30	ga_ls7e_ard_3-0-0_095067_2014-04-17_final
2015-02-14 09:05:48	ga_ls7e_ard_3-0-0_088082_2015-02-13_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2015-11-30 09:53:17	ga_ls7e_ard_3-0-0_095087_2015-11-30_final
2016-06-09 09:48:56	ga_ls7e_ard_3-0-0_095072_2016-06-09_final
2016-08-12 09:54:37	ga_ls7e_ard_3-0-0_095086_2016-08-12_final
2016-11-16 09:46:56	ga_ls7e_ard_3-0-0_095067_2016-11-16_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-09-21 11:49:36	ga_ls7e_ard_3-0-0_114080_2017-09-21_final
2018-04-12 09:52:47	ga_ls7e_ard_3-0-0_095086_2018-04-12_final
2018-05-26 11:51:39	ga_ls7e_ard_3-0-0_115076_2018-05-26_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2020-05-31 11:23:45	ga_ls7e_ard_3-1-0_115075_2020-05-31_final
2021-01-29 10:00:07	ga_ls7e_ard_3-2-0_104076_2021-01-29_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-01-29 10:01:43	ga_ls7e_ard_3-2-0_104080_2021-01-29_final
2021-02-12 08:33:46	ga_ls7e_ard_3-2-0_090079_2021-02-11_final
2021-02-17 08:50:20	ga_ls7e_ard_3-2-0_093075_2021-02-16_final
2021-02-17 08:55:31	ga_ls7e_ard_3-2-0_093088_2021-02-16_final
2021-02-21 08:26:30	ga_ls7e_ard_3-2-0_089078_2021-02-20_final
2021-02-27 09:28:38	ga_ls7e_ard_3-2-0_099080_2021-02-26_final
2021-03-10 09:06:03	ga_ls7e_ard_3-2-0_096072_2021-03-09_final
2021-03-13 09:36:19	ga_ls7e_ard_3-2-0_101071_2021-03-13_final
2021-03-15 09:28:35	ga_ls7e_ard_3-2-0_099083_2021-03-14_final
2021-03-18 09:58:51	ga_ls7e_ard_3-2-0_104082_2021-03-18_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-04-10 09:57:33	ga_ls7e_ard_3-2-0_105068_2021-04-10_final
2021-04-12 09:46:37	ga_ls7e_ard_3-2-0_103072_2021-04-12_final
2021-04-17 08:27:52	ga_ls7e_ard_3-2-0_090077_2021-04-16_final
2021-04-29 10:29:38	ga_ls7e_ard_3-2-0_110075_2021-04-29_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-12 08:21:11	ga_ls7e_ard_3-2-0_089081_2021-05-11_final
2021-05-13 10:43:38	ga_ls7e_ard_3-2-0_112082_2021-05-13_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-06-16 08:43:34	ga_ls7e_ard_3-2-0_094067_2021-06-15_final
2021-06-24 09:38:20	ga_ls7e_ard_3-2-0_102082_2021-06-24_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-15 09:03:55	ga_ls7e_ard_3-2-0_098069_2021-08-14_final
2021-08-17 08:52:11	ga_ls7e_ard_3-2-0_096071_2021-08-16_final
2021-09-01 09:48:30	ga_ls7e_ard_3-2-0_105076_2021-09-01_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-29 10:10:20	ga_ls7e_ard_3-2-0_109075_2021-09-29_final
2021-09-30 09:13:02	ga_ls7e_ard_3-2-0_100071_2021-09-29_final
2021-10-07 09:23:24	ga_ls7e_ard_3-2-0_101083_2021-10-06_final
2021-10-08 08:24:30	ga_ls7e_ard_3-2-0_092075_2021-10-07_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-17 09:54:24	ga_ls7e_ard_3-2-0_107070_2021-10-17_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-11-10 09:01:56	ga_ls7e_ard_3-2-0_099068_2021-11-09_final
2021-11-10 09:03:31	ga_ls7e_ard_3-2-0_099072_2021-11-09_final
2021-11-14 10:16:54	ga_ls7e_ard_3-2-1_111071_2021-11-14_final
2021-12-11 09:57:23	ga_ls7e_ard_3-2-1_108075_2021-12-11_final
2021-12-21 08:52:13	ga_ls7e_ard_3-2-1_098069_2021-12-20_final
2022-01-18 09:17:24	ga_ls7e_ard_3-2-1_102077_2022-01-17_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-03-03 07:59:42	ga_ls7e_ard_3-2-1_090079_2022-03-02_final
2022-03-07 09:09:52	ga_ls7e_ard_3-2-1_102070_2022-03-06_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-27 08:43:36	ga_ls7e_ard_3-2-1_098071_2022-03-26_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