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
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2002-07-17 11:40:44	ga_ls7e_ard_3-0-0_115078_2002-07-17_final
2003-11-25 11:40:40	ga_ls7e_ard_3-0-0_115077_2003-11-25_final
2004-10-19 11:35:18	ga_ls7e_ard_3-0-0_114079_2004-10-19_final
2005-08-19 11:35:56	ga_ls7e_ard_3-0-0_114079_2005-08-19_final
2006-05-02 11:37:04	ga_ls7e_ard_3-0-0_114080_2006-05-02_final
2006-09-14 11:41:33	ga_ls7e_ard_3-0-0_115077_2006-09-14_final
2007-07-15 11:42:12	ga_ls7e_ard_3-0-0_115077_2007-07-15_final
2010-07-23 11:43:02	ga_ls7e_ard_3-0-0_115074_2010-07-23_final
2011-06-17 11:40:12	ga_ls7e_ard_3-0-0_114079_2011-06-17_final
2011-10-07 11:39:50	ga_ls7e_ard_3-0-0_114079_2011-10-07_final
2013-02-05 11:48:13	ga_ls7e_ard_3-1-0_115077_2013-02-05_final
2014-05-31 11:48:59	ga_ls7e_ard_3-0-0_115076_2014-05-31_final
2015-12-28 11:52:08	ga_ls7e_ard_3-0-0_115074_2015-12-28_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2017-02-25 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-02-25_final
2019-06-14 11:41:39	ga_ls7e_ard_3-1-0_115077_2019-06-14_final
2020-07-11 11:17:08	ga_ls7e_ard_3-1-0_114080_2020-07-11_final
2020-11-25 09:21:33	ga_ls7e_ard_3-1-0_097076_2020-11-24_final
2020-12-20 09:11:31	ga_ls7e_ard_3-1-0_096071_2020-12-19_final
2020-12-24 10:28:58	ga_ls7e_ard_3-1-0_108080_2020-12-24_final
2021-01-06 09:53:35	ga_ls7e_ard_3-1-0_103071_2021-01-06_final
2021-01-07 09:01:29	ga_ls7e_ard_3-1-0_094080_2021-01-06_final
2021-01-14 09:05:59	ga_ls7e_ard_3-1-0_095077_2021-01-13_final
2021-01-28 09:17:20	ga_ls7e_ard_3-2-0_097077_2021-01-27_final
2021-01-30 09:06:01	ga_ls7e_ard_3-2-0_095080_2021-01-29_final
2021-02-09 09:41:10	ga_ls7e_ard_3-2-0_101077_2021-02-09_final
2021-02-19 10:19:29	ga_ls7e_ard_3-2-0_107082_2021-02-19_final
2021-02-22 10:49:22	ga_ls7e_ard_3-2-0_112080_2021-02-22_final
2021-02-24 08:59:10	ga_ls7e_ard_3-2-0_094083_2021-02-23_final
2021-03-06 09:32:41	ga_ls7e_ard_3-2-0_100076_2021-03-06_final
2021-03-17 09:16:04	ga_ls7e_ard_3-2-0_097083_2021-03-16_final
2021-03-17 10:54:33	ga_ls7e_ard_3-2-0_113082_2021-03-17_final
2021-03-19 09:02:21	ga_ls7e_ard_3-2-0_095080_2021-03-18_final
2021-03-19 10:42:25	ga_ls7e_ard_3-2-0_111083_2021-03-19_final
2021-03-26 10:44:51	ga_ls7e_ard_3-2-0_112075_2021-03-26_final
2021-04-07 09:29:42	ga_ls7e_ard_3-2-0_100075_2021-04-06_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-24 10:13:07	ga_ls7e_ard_3-2-0_107079_2021-04-24_final
2021-05-06 08:56:22	ga_ls7e_ard_3-2-0_095075_2021-05-05_final
2021-05-06 08:58:22	ga_ls7e_ard_3-2-0_095080_2021-05-05_final
2021-05-21 09:49:07	ga_ls7e_ard_3-2-0_104071_2021-05-21_final
2021-05-22 08:55:25	ga_ls7e_ard_3-2-0_095076_2021-05-21_final
2021-05-24 08:44:05	ga_ls7e_ard_3-2-0_093079_2021-05-23_final
2021-05-25 09:25:15	ga_ls7e_ard_3-2-0_100074_2021-05-24_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-06 09:47:22	ga_ls7e_ard_3-2-0_104070_2021-06-06_final
2021-06-10 09:24:19	ga_ls7e_ard_3-2-0_100075_2021-06-09_final
2021-06-12 09:10:36	ga_ls7e_ard_3-2-0_098072_2021-06-11_final
2021-06-17 09:29:32	ga_ls7e_ard_3-2-0_101074_2021-06-16_final
2021-06-20 10:03:46	ga_ls7e_ard_3-2-0_106083_2021-06-20_final
2021-07-11 10:16:10	ga_ls7e_ard_3-2-0_109072_2021-07-11_final
2021-07-11 10:19:45	ga_ls7e_ard_3-2-0_109081_2021-07-11_final
2021-07-12 09:20:52	ga_ls7e_ard_3-2-0_100073_2021-07-11_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-01 08:53:36	ga_ls7e_ard_3-2-0_096071_2021-07-31_final
2021-08-21 10:07:59	ga_ls7e_ard_3-2-0_108076_2021-08-21_final
2021-09-01 09:46:55	ga_ls7e_ard_3-2-0_105072_2021-09-01_final
2021-09-03 09:33:11	ga_ls7e_ard_3-2-0_103069_2021-09-03_final
2021-09-04 08:39:52	ga_ls7e_ard_3-2-0_094075_2021-09-03_final
2021-09-06 10:09:00	ga_ls7e_ard_3-2-0_108082_2021-09-06_final
2021-09-08 08:16:00	ga_ls7e_ard_3-2-0_090078_2021-09-07_final
2021-09-09 09:00:46	ga_ls7e_ard_3-2-0_097082_2021-09-08_final
2021-09-17 08:10:13	ga_ls7e_ard_3-2-0_089081_2021-09-16_final
2021-09-18 08:50:12	ga_ls7e_ard_3-2-0_096073_2021-09-17_final
2021-10-09 09:08:04	ga_ls7e_ard_3-2-0_099076_2021-10-08_final
2021-10-13 08:45:23	ga_ls7e_ard_3-2-0_095082_2021-10-12_final
2021-10-15 08:30:51	ga_ls7e_ard_3-2-0_093077_2021-10-14_final
2021-10-26 09:50:59	ga_ls7e_ard_3-2-0_106079_2021-10-26_final
2021-11-02 08:20:02	ga_ls7e_ard_3-2-0_091085_2021-11-01_final
2021-11-05 10:26:20	ga_ls7e_ard_3-2-0_112077_2021-11-05_final
2021-11-05 10:26:44	ga_ls7e_ard_3-2-0_112078_2021-11-05_final
2021-11-09 08:23:33	ga_ls7e_ard_3-2-0_092080_2021-11-08_final
2021-11-19 10:38:08	ga_ls7e_ard_3-2-1_114079_2021-11-19_final
2021-11-23 08:34:56	ga_ls7e_ard_3-2-1_094081_2021-11-22_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-02 10:06:00	ga_ls7e_ard_3-2-1_109079_2021-12-02_final
2021-12-20 09:52:44	ga_ls7e_ard_3-2-1_107081_2021-12-20_final
2021-12-23 10:22:56	ga_ls7e_ard_3-2-1_112080_2021-12-23_final
2021-12-25 08:31:30	ga_ls7e_ard_3-2-1_094080_2021-12-24_final
2021-12-25 10:10:22	ga_ls7e_ard_3-2-1_110080_2021-12-25_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2021-12-30 08:48:44	ga_ls7e_ard_3-2-1_097078_2021-12-29_final
2021-12-31 09:30:42	ga_ls7e_ard_3-2-1_104075_2021-12-31_final
2022-01-08 08:42:28	ga_ls7e_ard_3-2-1_096080_2022-01-07_final
2022-01-10 08:29:07	ga_ls7e_ard_3-2-1_094078_2022-01-09_final
2022-01-10 10:09:12	ga_ls7e_ard_3-2-1_110081_2022-01-10_final
2022-01-11 09:13:29	ga_ls7e_ard_3-2-1_101081_2022-01-10_final
2022-01-16 09:27:10	ga_ls7e_ard_3-2-1_104070_2022-01-15_final
2022-01-17 08:33:27	ga_ls7e_ard_3-2-1_095075_2022-01-16_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-02-02 10:11:33	ga_ls7e_ard_3-2-1_111077_2022-02-02_final
2022-02-05 09:04:52	ga_ls7e_ard_3-2-1_100081_2022-02-04_final
2022-02-17 09:27:09	ga_ls7e_ard_3-2-1_104078_2022-02-16_final
2022-02-20 08:19:41	ga_ls7e_ard_3-2-1_093080_2022-02-19_final
2022-03-08 09:56:37	ga_ls7e_ard_3-2-1_109079_2022-03-08_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_2022-04-04_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