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
2000-01-10 11:39:04	ga_ls7e_ard_3-0-0_114078_2000-01-10_final
2000-02-02 11:44:23	ga_ls7e_ard_3-0-0_115076_2000-02-02_final
2001-06-21 11:36:06	ga_ls7e_ard_3-0-0_114079_2001-06-21_final
2001-09-16 11:40:06	ga_ls7e_ard_3-0-0_115076_2001-09-16_final
2002-08-18 11:40:09	ga_ls7e_ard_3-0-0_115077_2002-08-18_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2002-10-21 11:39:23	ga_ls7e_ard_3-0-0_115076_2002-10-21_final
2002-12-24 11:39:56	ga_ls7e_ard_3-0-0_115076_2002-12-24_final
2003-01-18 11:30:18	ga_ls7e_ard_3-0-0_114067_2003-01-18_final
2003-02-19 11:35:18	ga_ls7e_ard_3-0-0_114079_2003-02-19_final
2004-04-10 11:35:50	ga_ls7e_ard_3-0-0_114079_2004-04-10_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-07-31 11:30:41	ga_ls7e_ard_3-0-0_114067_2004-07-31_final
2005-04-13 11:35:48	ga_ls7e_ard_3-0-0_114078_2005-04-13_final
2008-01-09 11:32:00	ga_ls7e_ard_3-0-0_113082_2008-01-09_final
2009-09-15 11:31:59	ga_ls7e_ard_3-0-0_114067_2009-09-15_final
2011-04-05 11:44:26	ga_ls7e_ard_3-0-0_115074_2011-04-05_final
2012-05-18 11:40:08	ga_ls7e_ard_3-0-0_114076_2012-05-18_final
2012-09-23 11:40:56	ga_ls7e_ard_3-0-0_114076_2012-09-23_final
2012-11-10 11:37:43	ga_ls7e_ard_3-0-0_114067_2012-11-10_final
2013-02-14 11:43:37	ga_ls7e_ard_3-0-0_114081_2013-02-14_final
2013-03-11 11:37:23	ga_ls7e_ard_3-0-0_113081_2013-03-11_final
2013-08-09 11:37:01	ga_ls7e_ard_3-0-0_114067_2013-08-09_final
2014-03-05 11:42:12	ga_ls7e_ard_3-0-0_114076_2014-03-05_final
2014-05-08 11:44:15	ga_ls7e_ard_3-0-0_114080_2014-05-08_final
2014-07-27 11:44:14	ga_ls7e_ard_3-0-0_114079_2014-07-27_final
2014-08-03 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-08-03_final
2014-10-06 11:49:08	ga_ls7e_ard_3-0-0_115075_2014-10-06_final
2015-02-04 11:43:43	ga_ls7e_ard_3-0-0_114075_2015-02-04_final
2015-09-16 11:46:33	ga_ls7e_ard_3-0-0_114079_2015-09-16_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2015-11-12 11:42:18	ga_ls7e_ard_3-0-0_113082_2015-11-12_final
2017-09-05 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-09-05_final
2017-11-01 11:44:16	ga_ls7e_ard_3-0-0_113082_2017-11-01_final
2017-11-08 11:47:39	ga_ls7e_ard_3-0-0_114075_2017-11-08_final
2018-02-12 11:47:22	ga_ls7e_ard_3-0-0_114077_2018-02-12_final
2018-09-15 11:50:43	ga_ls7e_ard_3-0-0_115079_2018-09-15_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2020-06-16 11:22:25	ga_ls7e_ard_3-1-0_115074_2020-06-16_final
2020-06-25 11:17:42	ga_ls7e_ard_3-1-0_114079_2020-06-25_final
2020-09-29 11:10:50	ga_ls7e_ard_3-1-0_114077_2020-09-29_final
2020-11-29 08:58:09	ga_ls7e_ard_3-1-0_093080_2020-11-28_final
2020-11-30 09:38:56	ga_ls7e_ard_3-1-0_100074_2020-11-30_final
2020-12-04 10:56:24	ga_ls7e_ard_3-1-0_112083_2020-12-04_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-20 09:13:55	ga_ls7e_ard_3-1-0_096077_2020-12-19_final
2021-01-02 08:43:18	ga_ls7e_ard_3-1-0_091080_2021-01-01_final
2021-01-15 09:47:10	ga_ls7e_ard_3-1-0_102072_2021-01-15_final
2021-01-30 09:06:01	ga_ls7e_ard_3-2-0_095080_2021-01-29_final
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-01-31 09:48:49	ga_ls7e_ard_3-2-0_102079_2021-01-31_final
2021-02-17 08:52:19	ga_ls7e_ard_3-2-0_093080_2021-02-16_final
2021-03-04 09:45:36	ga_ls7e_ard_3-2-0_102077_2021-03-04_final
2021-03-11 09:52:25	ga_ls7e_ard_3-2-0_103080_2021-03-11_final
2021-03-28 10:30:43	ga_ls7e_ard_3-2-0_110071_2021-03-28_final
2021-03-29 09:35:25	ga_ls7e_ard_3-2-0_101072_2021-03-29_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-13 10:33:24	ga_ls7e_ard_3-2-0_110081_2021-04-13_final
2021-04-20 09:00:06	ga_ls7e_ard_3-2-0_095081_2021-04-19_final
2021-05-09 09:29:00	ga_ls7e_ard_3-2-0_100080_2021-05-08_final
2021-05-15 08:53:25	ga_ls7e_ard_3-2-0_094085_2021-05-14_final
2021-05-21 09:49:31	ga_ls7e_ard_3-2-0_104072_2021-05-21_final
2021-05-21 09:53:07	ga_ls7e_ard_3-2-0_104081_2021-05-21_final
2021-06-09 10:21:37	ga_ls7e_ard_3-2-0_109079_2021-06-09_final
2021-06-10 09:23:31	ga_ls7e_ard_3-2-0_100073_2021-06-09_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-07-04 08:35:41	ga_ls7e_ard_3-2-0_092082_2021-07-03_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-29 10:02:15	ga_ls7e_ard_3-2-0_107072_2021-07-29_final
2021-08-05 10:10:36	ga_ls7e_ard_3-2-0_108079_2021-08-05_final
2021-08-09 09:41:56	ga_ls7e_ard_3-2-0_104070_2021-08-09_final
2021-08-18 09:34:57	ga_ls7e_ard_3-2-0_103070_2021-08-18_final
2021-08-19 08:43:38	ga_ls7e_ard_3-2-0_094081_2021-08-18_final
2021-08-22 09:11:05	ga_ls7e_ard_3-2-0_099073_2021-08-21_final
2021-09-04 10:21:32	ga_ls7e_ard_3-2-0_110082_2021-09-04_final
2021-09-06 10:05:01	ga_ls7e_ard_3-2-0_108072_2021-09-06_final
2021-09-26 09:38:07	ga_ls7e_ard_3-2-0_104071_2021-09-26_final
2021-09-28 09:29:10	ga_ls7e_ard_3-2-0_102080_2021-09-27_final
2021-10-05 09:32:20	ga_ls7e_ard_3-2-0_103074_2021-10-05_final
2021-10-31 10:06:17	ga_ls7e_ard_3-2-0_109072_2021-10-31_final
2021-11-09 08:23:57	ga_ls7e_ard_3-2-0_092081_2021-11-08_final
2021-11-14 08:39:13	ga_ls7e_ard_3-2-1_095074_2021-11-13_final
2021-11-14 08:42:00	ga_ls7e_ard_3-2-1_095081_2021-11-13_final
2021-11-30 08:40:28	ga_ls7e_ard_3-2-1_095081_2021-11-29_final
2021-12-04 09:51:04	ga_ls7e_ard_3-2-1_107073_2021-12-04_final
2021-12-09 10:11:55	ga_ls7e_ard_3-2-1_110080_2021-12-09_final
2021-12-23 08:42:51	ga_ls7e_ard_3-2-1_096077_2021-12-22_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-02-05 09:05:16	ga_ls7e_ard_3-2-1_100082_2022-02-04_final
2022-02-23 08:50:18	ga_ls7e_ard_3-2-1_098080_2022-02-22_final
2022-03-01 09:52:20	ga_ls7e_ard_3-2-1_108082_2022-03-01_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_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