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
1999-10-13 11:45:01	ga_ls7e_ard_3-1-0_115077_1999-10-13_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2000-12-11 11:37:24	ga_ls7e_ard_3-0-0_114080_2000-12-11_final
2002-07-01 11:39:39	ga_ls7e_ard_3-0-0_115075_2002-07-01_final
2002-07-10 11:34:13	ga_ls7e_ard_3-0-0_114077_2002-07-10_final
2004-01-28 11:41:04	ga_ls7e_ard_3-1-0_115077_2004-01-28_final
2004-03-25 11:36:18	ga_ls7e_ard_3-0-0_114080_2004-03-25_final
2004-11-04 11:34:43	ga_ls7e_ard_3-0-0_114077_2004-11-04_final
2005-07-25 11:41:01	ga_ls7e_ard_3-0-0_115076_2005-07-25_final
2006-03-06 11:42:54	ga_ls7e_ard_3-0-0_115079_2006-03-06_final
2007-08-09 11:36:42	ga_ls7e_ard_3-0-0_114079_2007-08-09_final
2007-10-19 11:40:38	ga_ls7e_ard_3-0-0_115074_2007-10-19_final
2008-04-21 11:35:08	ga_ls7e_ard_3-0-0_114075_2008-04-21_final
2008-10-30 11:33:57	ga_ls7e_ard_3-0-0_114075_2008-10-30_final
2008-12-17 11:36:08	ga_ls7e_ard_3-0-0_114079_2008-12-17_final
2009-01-02 11:36:14	ga_ls7e_ard_3-0-0_114079_2009-01-02_final
2011-03-13 11:40:35	ga_ls7e_ard_3-0-0_114080_2011-03-13_final
2011-08-20 11:38:25	ga_ls7e_ard_3-0-0_114075_2011-08-20_final
2012-03-06 11:46:06	ga_ls7e_ard_3-0-0_115077_2012-03-06_final
2012-04-07 11:44:53	ga_ls7e_ard_3-0-0_115074_2012-04-07_final
2012-11-10 11:40:54	ga_ls7e_ard_3-0-0_114075_2012-11-10_final
2015-03-15 11:50:57	ga_ls7e_ard_3-1-0_115077_2015-03-15_final
2015-03-24 11:45:16	ga_ls7e_ard_3-0-0_114078_2015-03-24_final
2015-06-28 11:47:03	ga_ls7e_ard_3-0-0_114081_2015-06-28_final
2015-12-05 11:46:49	ga_ls7e_ard_3-0-0_114077_2015-12-05_final
2016-04-02 11:53:46	ga_ls7e_ard_3-0-0_115076_2016-04-02_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2018-03-16 11:47:25	ga_ls7e_ard_3-0-0_114078_2018-03-16_final
2018-06-27 11:50:41	ga_ls7e_ard_3-0-0_115075_2018-06-27_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-05-29 11:41:02	ga_ls7e_ard_3-0-0_115074_2019-05-29_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2020-04-13 11:26:38	ga_ls7e_ard_3-1-0_115075_2020-04-13_final
2020-06-09 11:16:39	ga_ls7e_ard_3-1-0_114074_2020-06-09_final
2020-07-11 11:14:45	ga_ls7e_ard_3-1-0_114074_2020-07-11_final
2020-09-29 11:10:50	ga_ls7e_ard_3-1-0_114077_2020-09-29_final
2020-10-15 11:10:12	ga_ls7e_ard_3-1-0_114078_2020-10-15_final
2020-11-22 08:52:28	ga_ls7e_ard_3-1-0_092080_2020-11-21_final
2020-12-03 10:08:49	ga_ls7e_ard_3-1-0_105072_2020-12-03_final
2020-12-11 09:23:58	ga_ls7e_ard_3-1-0_097085_2020-12-10_final
2021-01-05 09:13:35	ga_ls7e_ard_3-1-0_096079_2021-01-04_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-01-23 10:40:26	ga_ls7e_ard_3-2-0_110083_2021-01-23_final
2021-02-04 09:23:24	ga_ls7e_ard_3-2-0_098078_2021-02-03_final
2021-02-13 10:57:01	ga_ls7e_ard_3-2-0_113082_2021-02-13_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-02-27 09:29:26	ga_ls7e_ard_3-2-0_099082_2021-02-26_final
2021-03-03 09:04:00	ga_ls7e_ard_3-2-0_095081_2021-03-02_final
2021-03-12 08:55:32	ga_ls7e_ard_3-2-0_094077_2021-03-11_final
2021-03-21 10:29:30	ga_ls7e_ard_3-2-0_109082_2021-03-21_final
2021-04-06 10:28:12	ga_ls7e_ard_3-2-0_109082_2021-04-06_final
2021-04-18 10:52:19	ga_ls7e_ard_3-2-0_113083_2021-04-18_final
2021-04-26 08:23:19	ga_ls7e_ard_3-2-0_089083_2021-04-25_final
2021-04-26 10:00:35	ga_ls7e_ard_3-2-0_105079_2021-04-26_final
2021-04-29 10:31:38	ga_ls7e_ard_3-2-0_110080_2021-04-29_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final
2021-05-24 08:44:29	ga_ls7e_ard_3-2-0_093080_2021-05-23_final
2021-05-31 10:27:44	ga_ls7e_ard_3-2-0_110077_2021-05-31_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-09 10:20:49	ga_ls7e_ard_3-2-0_109077_2021-06-09_final
2021-06-12 09:09:48	ga_ls7e_ard_3-2-0_098070_2021-06-11_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-18 08:34:14	ga_ls7e_ard_3-2-0_092075_2021-06-17_final
2021-06-30 10:39:14	ga_ls7e_ard_3-2-0_112081_2021-06-30_final
2021-07-02 10:24:42	ga_ls7e_ard_3-2-0_110076_2021-07-02_final
2021-07-22 09:56:17	ga_ls7e_ard_3-2-0_106071_2021-07-22_final
2021-07-28 09:20:40	ga_ls7e_ard_3-2-0_100076_2021-07-27_final
2021-07-30 09:08:08	ga_ls7e_ard_3-2-0_098076_2021-07-29_final
2021-08-02 09:36:23	ga_ls7e_ard_3-2-0_103070_2021-08-02_final
2021-08-10 08:47:50	ga_ls7e_ard_3-2-0_095074_2021-08-09_final
2021-08-14 08:26:20	ga_ls7e_ard_3-2-0_091083_2021-08-13_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-09-03 09:33:35	ga_ls7e_ard_3-2-0_103070_2021-09-03_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-09-18 08:53:47	ga_ls7e_ard_3-2-0_096082_2021-09-17_final
2021-09-30 09:17:01	ga_ls7e_ard_3-2-0_100081_2021-09-29_final
2021-10-09 09:07:16	ga_ls7e_ard_3-2-0_099074_2021-10-08_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-02 09:57:19	ga_ls7e_ard_3-2-0_107081_2021-11-02_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-07 10:14:11	ga_ls7e_ard_3-2-0_110078_2021-11-07_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-23 08:35:20	ga_ls7e_ard_3-2-1_094082_2021-11-22_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-14 10:29:11	ga_ls7e_ard_3-2-1_113078_2021-12-14_final
2021-12-30 10:28:48	ga_ls7e_ard_3-2-1_113081_2021-12-30_final
2021-12-31 09:29:06	ga_ls7e_ard_3-2-1_104071_2021-12-30_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-06 10:32:41	ga_ls7e_ard_3-2-1_114077_2022-01-06_final
2022-01-28 08:17:50	ga_ls7e_ard_3-2-1_092085_2022-01-27_final
2022-02-06 09:48:01	ga_ls7e_ard_3-2-1_107081_2022-02-06_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-02-27 10:04:05	ga_ls7e_ard_3-2-1_110080_2022-02-27_final
2022-02-27 10:04:29	ga_ls7e_ard_3-2-1_110081_2022-02-27_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-22 08:29:31	ga_ls7e_ard_3-2-1_095081_2022-03-21_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