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
1999-10-29 11:45:41	ga_ls7e_ard_3-0-0_115079_1999-10-29_final
1999-11-07 11:38:44	ga_ls7e_ard_3-0-0_114077_1999-11-07_final
1999-11-07 11:39:55	ga_ls7e_ard_3-0-0_114080_1999-11-07_final
1999-12-04 09:40:50	ga_ls7e_ard_3-0-0_095076_1999-12-04_final
1999-12-20 09:42:08	ga_ls7e_ard_3-1-0_095079_1999-12-20_final
2000-01-26 11:39:49	ga_ls7e_ard_3-0-0_114080_2000-01-26_final
2000-02-06 09:42:45	ga_ls7e_ard_3-0-0_095081_2000-02-06_final
2000-08-12 11:41:53	ga_ls7e_ard_3-0-0_115074_2000-08-12_final
2000-11-04 09:41:09	ga_ls7e_ard_3-0-0_095083_2000-11-04_final
2000-11-04 09:41:33	ga_ls7e_ard_3-0-0_095084_2000-11-04_final
2000-12-11 11:36:12	ga_ls7e_ard_3-0-0_114077_2000-12-11_final
2001-09-16 11:41:18	ga_ls7e_ard_3-0-0_115079_2001-09-16_final
2002-06-03 09:37:49	ga_ls7e_ard_3-1-0_095079_2002-06-03_final
2002-12-28 09:36:21	ga_ls7e_ard_3-0-0_095076_2002-12-28_final
2004-04-21 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-04-21_final
2004-12-17 09:38:01	ga_ls7e_ard_3-0-0_095078_2004-12-17_final
2005-04-24 09:38:21	ga_ls7e_ard_3-0-0_095078_2005-04-24_final
2005-07-13 09:37:49	ga_ls7e_ard_3-0-0_095077_2005-07-13_final
2005-08-14 09:37:20	ga_ls7e_ard_3-0-0_095076_2005-08-14_final
2006-09-18 09:37:31	ga_ls7e_ard_3-0-0_095076_2006-09-18_final
2008-01-27 09:39:32	ga_ls7e_ard_3-1-0_095079_2008-01-27_final
2008-03-15 09:38:32	ga_ls7e_ard_3-0-0_095077_2008-03-15_final
2008-05-18 09:38:46	ga_ls7e_ard_3-0-0_095078_2008-05-18_final
2008-12-28 09:39:36	ga_ls7e_ard_3-0-0_095081_2008-12-28_final
2010-07-11 09:40:13	ga_ls7e_ard_3-0-0_095076_2010-07-11_final
2011-02-20 09:42:40	ga_ls7e_ard_3-1-0_095079_2011-02-20_final
2011-03-24 09:42:21	ga_ls7e_ard_3-0-0_095078_2011-03-24_final
2012-02-07 09:43:18	ga_ls7e_ard_3-1-0_095079_2012-02-07_final
2012-05-29 09:42:54	ga_ls7e_ard_3-0-0_095077_2012-05-29_final
2012-05-29 09:44:05	ga_ls7e_ard_3-0-0_095080_2012-05-29_final
2012-10-20 09:44:59	ga_ls7e_ard_3-1-0_095079_2012-10-20_final
2012-12-07 09:45:59	ga_ls7e_ard_3-0-0_095081_2012-12-07_final
2013-01-08 09:45:21	ga_ls7e_ard_3-1-0_095079_2013-01-08_final
2013-08-04 09:46:03	ga_ls7e_ard_3-0-0_095083_2013-08-04_final
2013-10-23 09:43:40	ga_ls7e_ard_3-0-0_095075_2013-10-23_final
2013-11-24 09:45:02	ga_ls7e_ard_3-0-0_095078_2013-11-24_final
2014-04-17 09:46:42	ga_ls7e_ard_3-0-0_095080_2014-04-17_final
2014-10-26 09:48:06	ga_ls7e_ard_3-0-0_095081_2014-10-26_final
2015-01-30 09:46:15	ga_ls7e_ard_3-0-0_095075_2015-01-30_final
2015-02-15 09:46:41	ga_ls7e_ard_3-0-0_095076_2015-02-15_final
2015-03-19 09:48:36	ga_ls7e_ard_3-0-0_095080_2015-03-19_final
2015-05-11 11:45:38	ga_ls7e_ard_3-0-0_114078_2015-05-11_final
2017-05-11 09:51:40	ga_ls7e_ard_3-1-0_095079_2017-05-11_final
2017-08-31 09:50:13	ga_ls7e_ard_3-0-0_095075_2017-08-31_final
2018-02-23 09:53:02	ga_ls7e_ard_3-0-0_095085_2018-02-23_final
2018-07-17 09:47:29	ga_ls7e_ard_3-0-0_095077_2018-07-17_final
2018-09-24 11:44:20	ga_ls7e_ard_3-0-0_114079_2018-09-24_final
2018-10-21 09:44:40	ga_ls7e_ard_3-0-0_095075_2018-10-21_final
2018-10-21 09:46:16	ga_ls7e_ard_3-1-0_095079_2018-10-21_final
2019-01-25 09:43:40	ga_ls7e_ard_3-1-0_095079_2019-01-25_final
2019-11-25 09:31:10	ga_ls7e_ard_3-1-0_095077_2019-11-25_final
2020-02-13 09:26:20	ga_ls7e_ard_3-1-0_095075_2020-02-12_final
2020-05-15 11:26:19	ga_ls7e_ard_3-1-0_115079_2020-05-15_final
2020-06-20 09:19:47	ga_ls7e_ard_3-1-0_095077_2020-06-19_final
2021-02-15 10:42:55	ga_ls7e_ard_3-2-0_111078_2021-02-15_final
2021-02-24 08:57:10	ga_ls7e_ard_3-2-0_094078_2021-02-23_final
2021-03-18 09:58:27	ga_ls7e_ard_3-2-0_104081_2021-03-18_final
2021-03-26 10:46:26	ga_ls7e_ard_3-2-0_112079_2021-03-26_final
2021-04-24 10:12:19	ga_ls7e_ard_3-2-0_107077_2021-04-24_final
2021-05-08 08:45:50	ga_ls7e_ard_3-2-0_093080_2021-05-07_final
2021-05-14 09:45:32	ga_ls7e_ard_3-2-0_103076_2021-05-14_final
2021-05-17 08:37:42	ga_ls7e_ard_3-2-0_092077_2021-05-16_final
2021-05-17 08:40:06	ga_ls7e_ard_3-2-0_092083_2021-05-16_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-07-07 09:03:56	ga_ls7e_ard_3-2-0_097076_2021-07-06_final
2021-07-25 08:50:50	ga_ls7e_ard_3-2-0_095078_2021-07-24_final
2021-07-27 08:40:18	ga_ls7e_ard_3-2-0_093083_2021-07-26_final
2021-08-02 09:39:58	ga_ls7e_ard_3-2-0_103079_2021-08-02_final
2021-08-03 08:45:52	ga_ls7e_ard_3-2-0_094083_2021-08-02_final
2021-08-10 10:28:42	ga_ls7e_ard_3-2-0_111079_2021-08-10_final
2021-08-18 09:36:09	ga_ls7e_ard_3-2-0_103073_2021-08-18_final
2021-08-25 09:40:56	ga_ls7e_ard_3-2-0_104071_2021-08-25_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-13 08:35:41	ga_ls7e_ard_3-2-0_093082_2021-09-12_final
2021-09-16 09:05:55	ga_ls7e_ard_3-2-0_098081_2021-09-15_final
2021-09-17 09:48:18	ga_ls7e_ard_3-2-0_105079_2021-09-17_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-09-27 08:47:59	ga_ls7e_ard_3-2-0_095085_2021-09-26_final
2021-10-07 09:21:48	ga_ls7e_ard_3-2-0_101079_2021-10-06_final
2021-10-13 08:43:00	ga_ls7e_ard_3-2-0_095076_2021-10-12_final
2021-10-21 09:32:55	ga_ls7e_ard_3-2-0_103079_2021-10-21_final
2021-10-26 08:13:43	ga_ls7e_ard_3-2-0_090083_2021-10-25_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-11-09 08:24:21	ga_ls7e_ard_3-2-0_092082_2021-11-08_final
2021-11-11 08:12:36	ga_ls7e_ard_3-2-0_090084_2021-11-10_final
2021-11-14 08:40:25	ga_ls7e_ard_3-2-1_095077_2021-11-13_final
2021-11-15 09:24:22	ga_ls7e_ard_3-2-1_102079_2021-11-14_final
2021-11-30 08:40:04	ga_ls7e_ard_3-2-1_095080_2021-11-29_final
2021-12-01 09:23:14	ga_ls7e_ard_3-2-1_102080_2021-11-30_final
2021-12-25 08:30:18	ga_ls7e_ard_3-2-1_094077_2021-12-24_final
2022-01-08 08:41:40	ga_ls7e_ard_3-2-1_096078_2022-01-07_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-02-02 10:11:09	ga_ls7e_ard_3-2-1_111076_2022-02-02_final
2022-02-03 09:17:02	ga_ls7e_ard_3-2-1_102080_2022-02-02_final
2022-03-04 10:21:20	ga_ls7e_ard_3-2-1_113078_2022-03-04_final
2022-03-06 08:28:42	ga_ls7e_ard_3-2-1_095075_2022-03-05_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-17 08:10:39	ga_ls7e_ard_3-2-1_092079_2022-03-16_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_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