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
1999-08-19 11:40:15	ga_ls7e_ard_3-0-0_114081_1999-08-19_final
2000-03-30 11:38:45	ga_ls7e_ard_3-1-0_114078_2000-03-30_final
2000-06-25 11:42:57	ga_ls7e_ard_3-0-0_115075_2000-06-25_final
2001-03-01 11:36:09	ga_ls7e_ard_3-0-0_114077_2001-03-01_final
2001-04-25 11:40:52	ga_ls7e_ard_3-0-0_115074_2001-04-25_final
2001-07-23 11:35:06	ga_ls7e_ard_3-0-0_114077_2001-07-23_final
2002-01-06 11:40:42	ga_ls7e_ard_3-0-0_115077_2002-01-06_final
2003-02-19 11:34:30	ga_ls7e_ard_3-0-0_114077_2003-02-19_final
2003-05-01 11:41:34	ga_ls7e_ard_3-0-0_115079_2003-05-01_final
2003-08-14 11:35:25	ga_ls7e_ard_3-0-0_114080_2003-08-14_final
2003-12-20 11:34:39	ga_ls7e_ard_3-0-0_114077_2003-12-20_final
2004-03-09 11:34:38	ga_ls7e_ard_3-0-0_114076_2004-03-09_final
2004-03-09 11:35:02	ga_ls7e_ard_3-0-0_114077_2004-03-09_final
2004-10-19 11:34:06	ga_ls7e_ard_3-0-0_114076_2004-10-19_final
2006-06-03 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-06-03_final
2006-11-10 11:35:42	ga_ls7e_ard_3-0-0_114077_2006-11-10_final
2007-06-22 11:35:17	ga_ls7e_ard_3-0-0_114075_2007-06-22_final
2009-01-18 11:35:08	ga_ls7e_ard_3-0-0_114076_2009-01-18_final
2009-03-23 11:36:26	ga_ls7e_ard_3-0-0_114078_2009-03-23_final
2010-08-01 11:39:14	ga_ls7e_ard_3-0-0_114080_2010-08-01_final
2010-08-08 11:43:49	ga_ls7e_ard_3-0-0_115076_2010-08-08_final
2010-09-18 11:38:31	ga_ls7e_ard_3-0-0_114078_2010-09-18_final
2013-08-16 11:47:18	ga_ls7e_ard_3-1-0_115077_2013-08-16_final
2013-10-03 11:47:51	ga_ls7e_ard_3-0-0_115077_2013-10-03_final
2013-11-13 11:42:48	ga_ls7e_ard_3-0-0_114079_2013-11-13_final
2014-07-27 11:43:26	ga_ls7e_ard_3-0-0_114077_2014-07-27_final
2015-12-21 11:47:05	ga_ls7e_ard_3-0-0_114077_2015-12-21_final
2016-02-07 11:48:28	ga_ls7e_ard_3-0-0_114079_2016-02-07_final
2016-06-30 11:49:35	ga_ls7e_ard_3-0-0_114080_2016-06-30_final
2016-10-11 11:54:45	ga_ls7e_ard_3-0-0_115077_2016-10-11_final
2017-07-03 11:47:17	ga_ls7e_ard_3-0-0_114074_2017-07-03_final
2018-04-17 11:47:20	ga_ls7e_ard_3-0-0_114079_2018-04-17_final
2020-10-31 11:09:09	ga_ls7e_ard_3-1-0_114078_2020-10-31_final
2020-11-23 11:14:08	ga_ls7e_ard_3-1-0_115079_2020-11-23_final
2020-11-26 10:01:57	ga_ls7e_ard_3-1-0_104069_2020-11-26_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2020-12-06 09:03:49	ga_ls7e_ard_3-1-0_094080_2020-12-05_final
2020-12-07 09:44:12	ga_ls7e_ard_3-1-0_101073_2020-12-07_final
2020-12-08 08:52:30	ga_ls7e_ard_3-1-0_092083_2020-12-07_final
2020-12-23 09:45:23	ga_ls7e_ard_3-1-0_101079_2020-12-23_final
2021-01-14 09:07:35	ga_ls7e_ard_3-1-0_095081_2021-01-13_final
2021-01-18 08:44:34	ga_ls7e_ard_3-1-0_091086_2021-01-17_final
2021-01-21 09:13:39	ga_ls7e_ard_3-2-0_096082_2021-01-20_final
2021-01-25 08:47:27	ga_ls7e_ard_3-2-0_092079_2021-01-24_final
2021-01-28 10:59:00	ga_ls7e_ard_3-2-0_113084_2021-01-28_final
2021-02-08 08:59:35	ga_ls7e_ard_3-2-0_094081_2021-02-07_final
2021-02-12 08:34:10	ga_ls7e_ard_3-2-0_090080_2021-02-11_final
2021-02-18 09:35:06	ga_ls7e_ard_3-2-0_100079_2021-02-18_final
2021-02-22 10:49:22	ga_ls7e_ard_3-2-0_112080_2021-02-22_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-05 10:30:46	ga_ls7e_ard_3-2-0_109082_2021-03-05_final
2021-03-07 08:40:10	ga_ls7e_ard_3-2-0_091084_2021-03-06_final
2021-03-09 10:02:09	ga_ls7e_ard_3-2-0_105073_2021-03-09_final
2021-03-10 10:47:43	ga_ls7e_ard_3-2-0_112079_2021-03-10_final
2021-03-17 09:13:16	ga_ls7e_ard_3-2-0_097076_2021-03-16_final
2021-03-31 09:26:29	ga_ls7e_ard_3-2-0_099081_2021-03-30_final
2021-04-04 09:02:38	ga_ls7e_ard_3-2-0_095084_2021-04-03_final
2021-04-11 09:07:26	ga_ls7e_ard_3-2-0_096082_2021-04-10_final
2021-04-13 08:56:07	ga_ls7e_ard_3-2-0_094085_2021-04-12_final
2021-05-10 10:13:47	ga_ls7e_ard_3-2-0_107084_2021-05-10_final
2021-05-13 09:01:10	ga_ls7e_ard_3-2-0_096073_2021-05-12_final
2021-05-15 08:51:49	ga_ls7e_ard_3-2-0_094081_2021-05-14_final
2021-05-29 09:02:35	ga_ls7e_ard_3-2-0_096080_2021-05-28_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-07-02 10:24:42	ga_ls7e_ard_3-2-0_110076_2021-07-02_final
2021-07-09 10:31:53	ga_ls7e_ard_3-2-0_111080_2021-07-09_final
2021-07-24 09:43:45	ga_ls7e_ard_3-2-0_104071_2021-07-24_final
2021-07-29 10:04:15	ga_ls7e_ard_3-2-0_107077_2021-07-29_final
2021-08-01 08:53:36	ga_ls7e_ard_3-2-0_096071_2021-07-31_final
2021-08-13 09:19:15	ga_ls7e_ard_3-2-0_100076_2021-08-12_final
2021-08-13 09:22:27	ga_ls7e_ard_3-2-0_100084_2021-08-12_final
2021-08-18 09:35:21	ga_ls7e_ard_3-2-0_103071_2021-08-18_final
2021-08-19 08:44:50	ga_ls7e_ard_3-2-0_094084_2021-08-18_final
2021-08-22 09:15:29	ga_ls7e_ard_3-2-0_099084_2021-08-21_final
2021-08-23 09:53:52	ga_ls7e_ard_3-2-0_106072_2021-08-23_final
2021-08-27 09:30:48	ga_ls7e_ard_3-2-0_102077_2021-08-27_final
2021-09-11 08:48:14	ga_ls7e_ard_3-2-0_095082_2021-09-10_final
2021-09-25 08:55:21	ga_ls7e_ard_3-2-0_097072_2021-09-24_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-09-29 10:09:08	ga_ls7e_ard_3-2-0_109072_2021-09-29_final
2021-10-22 08:37:12	ga_ls7e_ard_3-2-0_094079_2021-10-21_final
2021-10-22 08:38:48	ga_ls7e_ard_3-2-0_094083_2021-10-21_final
2021-10-31 08:32:11	ga_ls7e_ard_3-2-0_093084_2021-10-30_final
2021-11-16 08:29:27	ga_ls7e_ard_3-2-1_093081_2021-11-15_final
2021-12-02 10:03:13	ga_ls7e_ard_3-2-1_109072_2021-12-02_final
2021-12-16 10:17:50	ga_ls7e_ard_3-2-1_111081_2021-12-16_final
2021-12-17 09:20:07	ga_ls7e_ard_3-2-1_102076_2021-12-16_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2022-01-08 08:43:16	ga_ls7e_ard_3-2-1_096082_2022-01-07_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-12 09:06:44	ga_ls7e_ard_3-2-1_101072_2022-02-11_final
2022-02-14 10:33:50	ga_ls7e_ard_3-2-1_115074_2022-02-14_final
2022-02-16 08:42:47	ga_ls7e_ard_3-2-1_097075_2022-02-15_final
2022-02-20 09:57:22	ga_ls7e_ard_3-2-1_109077_2022-02-20_final
2022-03-02 08:57:01	ga_ls7e_ard_3-2-1_099083_2022-03-01_final
2022-03-03 08:00:54	ga_ls7e_ard_3-2-1_090082_2022-03-02_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