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
2000-02-06 09:44:21	ga_ls7e_ard_3-0-0_095085_2000-02-06_final
2000-04-10 09:43:34	ga_ls7e_ard_3-0-0_095084_2000-04-10_final
2000-08-16 09:43:04	ga_ls7e_ard_3-0-0_095086_2000-08-16_final
2000-11-20 09:37:31	ga_ls7e_ard_3-0-0_095074_2000-11-20_final
2000-12-22 09:34:51	ga_ls7e_ard_3-0-0_095067_2000-12-22_final
2001-04-13 09:41:43	ga_ls7e_ard_3-0-0_095085_2001-04-13_final
2001-08-19 09:39:37	ga_ls7e_ard_3-0-0_095083_2001-08-19_final
2001-10-22 09:32:43	ga_ls7e_ard_3-0-0_095067_2001-10-22_final
2001-11-07 09:35:36	ga_ls7e_ard_3-0-0_095074_2001-11-07_final
2002-07-21 09:39:29	ga_ls7e_ard_3-0-0_095084_2002-07-21_final
2003-08-09 09:37:59	ga_ls7e_ard_3-0-0_095080_2003-08-09_final
2004-09-12 09:36:15	ga_ls7e_ard_3-0-0_095075_2004-09-12_final
2004-09-28 09:36:11	ga_ls7e_ard_3-0-0_095075_2004-09-28_final
2005-06-11 09:40:40	ga_ls7e_ard_3-0-0_095084_2005-06-11_final
2005-10-17 09:41:08	ga_ls7e_ard_3-1-0_095086_2005-10-17_final
2006-03-10 09:40:54	ga_ls7e_ard_3-0-0_095083_2006-03-10_final
2006-03-15 11:37:07	ga_ls7e_ard_3-0-0_114080_2006-03-15_final
2006-09-02 09:40:48	ga_ls7e_ard_3-0-0_095084_2006-09-02_final
2007-02-09 09:39:11	ga_ls7e_ard_3-0-0_095078_2007-02-09_final
2007-03-29 09:37:44	ga_ls7e_ard_3-0-0_095074_2007-03-29_final
2009-11-25 11:42:44	ga_ls7e_ard_3-1-0_115077_2009-11-25_final
2009-12-31 09:42:52	ga_ls7e_ard_3-0-0_095085_2009-12-31_final
2012-02-12 11:39:33	ga_ls7e_ard_3-0-0_114076_2012-02-12_final
2012-04-11 09:44:02	ga_ls7e_ard_3-0-0_095081_2012-04-11_final
2012-05-29 09:44:29	ga_ls7e_ard_3-0-0_095081_2012-05-29_final
2012-10-04 09:46:25	ga_ls7e_ard_3-0-0_095083_2012-10-04_final
2012-11-21 09:46:47	ga_ls7e_ard_3-0-0_095083_2012-11-21_final
2013-02-21 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-02-21_final
2013-05-05 11:42:07	ga_ls7e_ard_3-0-0_114078_2013-05-05_final
2013-05-16 09:46:16	ga_ls7e_ard_3-0-0_095082_2013-05-16_final
2013-06-17 09:44:03	ga_ls7e_ard_3-0-0_095077_2013-06-17_final
2013-11-24 09:46:38	ga_ls7e_ard_3-0-0_095082_2013-11-24_final
2013-12-15 11:42:33	ga_ls7e_ard_3-0-0_114078_2013-12-15_final
2013-12-26 09:40:49	ga_ls7e_ard_3-0-0_095067_2013-12-26_final
2014-06-25 11:43:41	ga_ls7e_ard_3-0-0_114078_2014-06-25_final
2014-09-24 09:45:21	ga_ls7e_ard_3-0-0_095075_2014-09-24_final
2014-12-25 11:49:44	ga_ls7e_ard_3-0-0_115075_2014-12-25_final
2014-12-25 11:50:08	ga_ls7e_ard_3-0-0_115076_2014-12-25_final
2014-12-29 09:49:18	ga_ls7e_ard_3-0-0_095083_2014-12-29_final
2015-01-14 09:48:10	ga_ls7e_ard_3-0-0_095080_2015-01-14_final
2015-05-22 09:50:39	ga_ls7e_ard_3-0-0_095084_2015-05-22_final
2015-06-12 11:45:49	ga_ls7e_ard_3-0-0_114078_2015-06-12_final
2015-07-09 09:49:42	ga_ls7e_ard_3-0-0_095081_2015-07-09_final
2016-02-07 11:48:04	ga_ls7e_ard_3-0-0_114078_2016-02-07_final
2016-03-10 11:49:04	ga_ls7e_ard_3-0-0_114080_2016-03-10_final
2017-12-26 11:48:52	ga_ls7e_ard_3-0-0_114079_2017-12-26_final
2018-11-22 09:44:44	ga_ls7e_ard_3-0-0_095077_2018-11-22_final
2018-12-24 09:46:40	ga_ls7e_ard_3-0-0_095084_2018-12-24_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2020-03-05 11:23:26	ga_ls7e_ard_3-1-0_114077_2020-03-05_final
2020-04-06 11:22:04	ga_ls7e_ard_3-1-0_114078_2020-04-06_final
2020-09-29 11:11:38	ga_ls7e_ard_3-1-0_114079_2020-09-29_final
2021-01-30 09:05:37	ga_ls7e_ard_3-2-0_095079_2021-01-29_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-02-27 09:25:51	ga_ls7e_ard_3-2-0_099073_2021-02-26_final
2021-03-01 10:56:12	ga_ls7e_ard_3-2-0_113083_2021-03-01_final
2021-03-04 09:44:48	ga_ls7e_ard_3-2-0_102075_2021-03-04_final
2021-03-11 09:49:38	ga_ls7e_ard_3-2-0_103073_2021-03-11_final
2021-03-21 10:29:54	ga_ls7e_ard_3-2-0_109083_2021-03-21_final
2021-03-28 08:56:14	ga_ls7e_ard_3-2-0_094082_2021-03-27_final
2021-04-22 10:22:52	ga_ls7e_ard_3-2-0_109072_2021-04-22_final
2021-04-24 08:35:26	ga_ls7e_ard_3-2-0_091082_2021-04-23_final
2021-05-02 09:21:49	ga_ls7e_ard_3-2-0_099076_2021-05-01_final
2021-05-31 10:28:08	ga_ls7e_ard_3-2-0_110078_2021-05-31_final
2021-06-10 09:26:43	ga_ls7e_ard_3-2-0_100081_2021-06-09_final
2021-06-11 08:29:25	ga_ls7e_ard_3-2-0_091077_2021-06-10_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-27 08:29:42	ga_ls7e_ard_3-2-0_091081_2021-06-26_final
2021-06-29 09:52:27	ga_ls7e_ard_3-2-0_105072_2021-06-29_final
2021-07-18 08:46:27	ga_ls7e_ard_3-2-0_094081_2021-07-17_final
2021-07-24 09:44:57	ga_ls7e_ard_3-2-0_104074_2021-07-24_final
2021-07-25 08:52:26	ga_ls7e_ard_3-2-0_095082_2021-07-24_final
2021-08-05 08:31:44	ga_ls7e_ard_3-2-0_092079_2021-08-04_final
2021-08-13 09:18:51	ga_ls7e_ard_3-2-0_100075_2021-08-12_final
2021-09-01 09:46:31	ga_ls7e_ard_3-2-0_105071_2021-09-01_final
2021-09-06 10:09:00	ga_ls7e_ard_3-2-0_108082_2021-09-06_final
2021-09-20 10:19:43	ga_ls7e_ard_3-2-0_110081_2021-09-20_final
2021-10-08 08:26:06	ga_ls7e_ard_3-2-0_092079_2021-10-07_final
2021-10-12 09:40:42	ga_ls7e_ard_3-2-0_104081_2021-10-12_final
2021-10-14 09:25:46	ga_ls7e_ard_3-2-0_102075_2021-10-13_final
2021-10-15 10:06:56	ga_ls7e_ard_3-2-0_109070_2021-10-15_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-20 08:47:45	ga_ls7e_ard_3-2-0_096074_2021-10-19_final
2021-10-24 08:23:52	ga_ls7e_ard_3-2-0_092077_2021-10-23_final
2021-11-06 09:30:14	ga_ls7e_ard_3-2-0_103076_2021-11-06_final
2021-11-20 09:42:01	ga_ls7e_ard_3-2-1_105078_2021-11-20_final
2021-12-01 09:21:39	ga_ls7e_ard_3-2-1_102076_2021-11-30_final
2021-12-02 08:27:56	ga_ls7e_ard_3-2-1_093081_2021-12-01_final
2021-12-14 08:48:43	ga_ls7e_ard_3-2-1_097074_2021-12-13_final
2021-12-18 08:25:12	ga_ls7e_ard_3-2-1_093078_2021-12-17_final
2022-01-01 10:16:39	ga_ls7e_ard_3-2-1_111082_2022-01-01_final
2022-01-06 08:53:01	ga_ls7e_ard_3-2-1_098075_2022-01-05_final
2022-01-13 08:57:45	ga_ls7e_ard_3-2-1_099073_2022-01-12_final
2022-01-14 09:42:54	ga_ls7e_ard_3-2-1_106078_2022-01-14_final
2022-01-26 08:30:23	ga_ls7e_ard_3-2-1_094085_2022-01-25_final
2022-02-24 09:33:28	ga_ls7e_ard_3-2-1_105080_2022-02-24_final
2022-03-04 08:40:52	ga_ls7e_ard_3-2-1_097074_2022-03-03_final
2022-03-07 09:13:52	ga_ls7e_ard_3-2-1_102080_2022-03-06_final
2022-03-08 08:19:20	ga_ls7e_ard_3-2-1_093083_2022-03-07_final
2022-03-13 08:34:11	ga_ls7e_ard_3-2-1_096075_2022-03-12_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