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
1999-08-26 11:44:32	ga_ls7e_ard_3-0-0_115076_1999-08-26_final
1999-09-27 11:43:48	ga_ls7e_ard_3-0-0_115074_1999-09-27_final
1999-11-07 11:39:55	ga_ls7e_ard_3-0-0_114080_1999-11-07_final
1999-12-25 11:38:17	ga_ls7e_ard_3-0-0_114076_1999-12-25_final
2000-12-11 11:35:48	ga_ls7e_ard_3-0-0_114076_2000-12-11_final
2002-07-26 11:33:16	ga_ls7e_ard_3-0-0_114075_2002-07-26_final
2002-09-28 11:32:46	ga_ls7e_ard_3-0-0_114075_2002-09-28_final
2003-01-18 11:35:29	ga_ls7e_ard_3-0-0_114080_2003-01-18_final
2003-02-19 11:34:06	ga_ls7e_ard_3-0-0_114076_2003-02-19_final
2003-02-19 11:35:42	ga_ls7e_ard_3-0-0_114080_2003-02-19_final
2004-04-26 11:34:34	ga_ls7e_ard_3-0-0_114076_2004-04-26_final
2004-06-13 11:34:28	ga_ls7e_ard_3-0-0_114076_2004-06-13_final
2005-11-23 11:35:22	ga_ls7e_ard_3-0-0_114077_2005-11-23_final
2006-05-02 11:35:52	ga_ls7e_ard_3-0-0_114077_2006-05-02_final
2006-05-18 11:35:30	ga_ls7e_ard_3-0-0_114076_2006-05-18_final
2009-08-30 11:37:12	ga_ls7e_ard_3-0-0_114080_2009-08-30_final
2010-05-13 11:37:33	ga_ls7e_ard_3-0-0_114076_2010-05-13_final
2010-10-20 11:37:51	ga_ls7e_ard_3-0-0_114076_2010-10-20_final
2011-08-20 11:40:49	ga_ls7e_ard_3-0-0_114081_2011-08-20_final
2013-04-03 11:41:28	ga_ls7e_ard_3-0-0_114076_2013-04-03_final
2013-05-05 11:42:31	ga_ls7e_ard_3-0-0_114079_2013-05-05_final
2014-03-05 11:43:24	ga_ls7e_ard_3-0-0_114079_2014-03-05_final
2014-03-21 11:42:44	ga_ls7e_ard_3-0-0_114077_2014-03-21_final
2015-03-24 11:45:40	ga_ls7e_ard_3-0-0_114079_2015-03-24_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2015-08-31 11:46:03	ga_ls7e_ard_3-0-0_114078_2015-08-31_final
2015-08-31 11:46:27	ga_ls7e_ard_3-0-0_114079_2015-08-31_final
2016-08-01 11:48:26	ga_ls7e_ard_3-0-0_114077_2016-08-01_final
2017-04-30 11:49:03	ga_ls7e_ard_3-0-0_114079_2017-04-30_final
2019-08-10 11:34:03	ga_ls7e_ard_3-0-0_114079_2019-08-10_final
2019-10-13 11:30:07	ga_ls7e_ard_3-1-0_114076_2019-10-13_final
2020-05-15 11:26:19	ga_ls7e_ard_3-1-0_115079_2020-05-15_final
2020-11-26 10:03:33	ga_ls7e_ard_3-1-0_104073_2020-11-26_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2020-12-05 09:58:42	ga_ls7e_ard_3-1-0_103078_2020-12-05_final
2021-01-15 09:49:34	ga_ls7e_ard_3-1-0_102078_2021-01-15_final
2021-01-19 09:23:46	ga_ls7e_ard_3-1-0_098076_2021-01-18_final
2021-01-23 08:59:33	ga_ls7e_ard_3-2-0_094078_2021-01-22_final
2021-01-31 09:47:13	ga_ls7e_ard_3-2-0_102075_2021-01-31_final
2021-02-01 08:53:07	ga_ls7e_ard_3-2-0_093079_2021-01-31_final
2021-02-07 09:54:28	ga_ls7e_ard_3-2-0_103079_2021-02-07_final
2021-02-13 10:54:38	ga_ls7e_ard_3-2-0_113076_2021-02-13_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-03-09 10:04:56	ga_ls7e_ard_3-2-0_105080_2021-03-09_final
2021-03-18 09:55:39	ga_ls7e_ard_3-2-0_104074_2021-03-18_final
2021-03-27 09:48:45	ga_ls7e_ard_3-2-0_103074_2021-03-27_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-02 10:50:51	ga_ls7e_ard_3-2-0_113076_2021-04-02_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-04-24 10:13:07	ga_ls7e_ard_3-2-0_107079_2021-04-24_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-05-25 09:25:39	ga_ls7e_ard_3-2-0_100075_2021-05-24_final
2021-05-29 08:59:48	ga_ls7e_ard_3-2-0_096073_2021-05-28_final
2021-06-07 08:53:40	ga_ls7e_ard_3-2-0_095075_2021-06-06_final
2021-06-09 10:21:37	ga_ls7e_ard_3-2-0_109079_2021-06-09_final
2021-06-15 09:43:15	ga_ls7e_ard_3-2-0_103077_2021-06-15_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-23 08:53:33	ga_ls7e_ard_3-2-0_095078_2021-06-22_final
2021-06-29 09:54:27	ga_ls7e_ard_3-2-0_105077_2021-06-29_final
2021-06-30 10:37:38	ga_ls7e_ard_3-2-0_112077_2021-06-30_final
2021-07-01 09:41:32	ga_ls7e_ard_3-2-0_103076_2021-07-01_final
2021-07-17 09:41:22	ga_ls7e_ard_3-2-0_103079_2021-07-17_final
2021-07-18 08:44:52	ga_ls7e_ard_3-2-0_094077_2021-07-17_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-24 09:45:21	ga_ls7e_ard_3-2-0_104075_2021-07-24_final
2021-07-31 09:49:19	ga_ls7e_ard_3-2-0_105071_2021-07-31_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-06 09:13:18	ga_ls7e_ard_3-2-0_099075_2021-08-05_final
2021-08-10 08:48:37	ga_ls7e_ard_3-2-0_095076_2021-08-09_final
2021-08-10 10:28:42	ga_ls7e_ard_3-2-0_111079_2021-08-10_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-18 08:53:23	ga_ls7e_ard_3-2-0_096081_2021-09-17_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-12 09:39:06	ga_ls7e_ard_3-2-0_104077_2021-10-12_final
2021-10-15 10:11:20	ga_ls7e_ard_3-2-0_109081_2021-10-15_final
2021-10-21 09:31:43	ga_ls7e_ard_3-2-0_103076_2021-10-21_final
2021-10-21 09:32:31	ga_ls7e_ard_3-2-0_103078_2021-10-21_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-11-14 08:40:25	ga_ls7e_ard_3-2-1_095077_2021-11-13_final
2021-11-26 09:02:46	ga_ls7e_ard_3-2-1_099074_2021-11-25_final
2021-12-07 08:45:36	ga_ls7e_ard_3-2-1_096080_2021-12-06_final
2021-12-07 08:46:00	ga_ls7e_ard_3-2-1_096081_2021-12-06_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-06 08:55:24	ga_ls7e_ard_3-2-1_098081_2022-01-05_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-10 09:22:05	ga_ls7e_ard_3-2-1_103079_2022-02-09_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-20 08:18:53	ga_ls7e_ard_3-2-1_093078_2022-02-19_final
2022-02-26 09:20:31	ga_ls7e_ard_3-2-1_103079_2022-02-25_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-12 09:30:42	ga_ls7e_ard_3-2-1_105077_2022-03-12_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_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