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
2000-01-10 11:34:40	ga_ls7e_ard_3-0-0_114067_2000-01-10_final
2001-03-24 11:42:35	ga_ls7e_ard_3-0-0_115078_2001-03-24_final
2002-09-12 11:29:45	ga_ls7e_ard_3-0-0_114067_2002-09-12_final
2005-08-10 11:40:34	ga_ls7e_ard_3-0-0_115075_2005-08-10_final
2006-02-02 11:42:24	ga_ls7e_ard_3-0-0_115078_2006-02-02_final
2007-10-12 11:34:22	ga_ls7e_ard_3-0-0_114074_2007-10-12_final
2007-11-20 11:42:34	ga_ls7e_ard_3-0-0_115078_2007-11-20_final
2008-08-27 11:35:18	ga_ls7e_ard_3-0-0_114078_2008-08-27_final
2008-12-17 11:34:32	ga_ls7e_ard_3-0-0_114075_2008-12-17_final
2008-12-24 11:42:22	ga_ls7e_ard_3-0-0_115079_2008-12-24_final
2010-02-06 11:33:39	ga_ls7e_ard_3-0-0_114067_2010-02-06_final
2010-04-02 11:43:24	ga_ls7e_ard_3-0-0_115075_2010-04-02_final
2010-11-12 11:44:17	ga_ls7e_ard_3-0-0_115076_2010-11-12_final
2011-01-31 11:45:47	ga_ls7e_ard_3-0-0_115078_2011-01-31_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2011-10-23 11:40:46	ga_ls7e_ard_3-0-0_114081_2011-10-23_final
2011-12-10 11:40:48	ga_ls7e_ard_3-0-0_114080_2011-12-10_final
2014-05-17 11:39:22	ga_ls7e_ard_3-0-0_113083_2014-05-17_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2015-06-03 11:51:08	ga_ls7e_ard_3-0-0_115076_2015-06-03_final
2015-07-30 11:44:23	ga_ls7e_ard_3-0-0_114074_2015-07-30_final
2015-11-10 11:53:25	ga_ls7e_ard_3-0-0_115079_2015-11-10_final
2016-02-23 11:48:53	ga_ls7e_ard_3-0-0_114080_2016-02-23_final
2016-05-20 11:53:37	ga_ls7e_ard_3-0-0_115075_2016-05-20_final
2017-01-08 11:46:51	ga_ls7e_ard_3-0-0_114074_2017-01-08_final
2017-01-31 11:54:24	ga_ls7e_ard_3-0-0_115078_2017-01-31_final
2017-04-30 11:47:04	ga_ls7e_ard_3-0-0_114074_2017-04-30_final
2017-10-14 11:53:26	ga_ls7e_ard_3-0-0_115074_2017-10-14_final
2017-11-08 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-11-08_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2020-07-20 11:11:36	ga_ls7e_ard_3-1-0_113083_2020-07-20_final
2020-11-22 08:53:16	ga_ls7e_ard_3-1-0_092082_2020-11-21_final
2020-12-03 08:32:20	ga_ls7e_ard_3-1-0_089078_2020-12-02_final
2020-12-09 09:31:17	ga_ls7e_ard_3-1-0_099072_2020-12-09_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-15 10:37:02	ga_ls7e_ard_3-1-0_109083_2020-12-15_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2020-12-26 10:11:41	ga_ls7e_ard_3-1-0_106068_2020-12-26_final
2021-01-02 08:47:17	ga_ls7e_ard_3-1-0_091090_2021-01-01_final
2021-01-09 10:23:53	ga_ls7e_ard_3-1-0_108070_2021-01-09_final
2021-02-15 09:07:14	ga_ls7e_ard_3-2-0_095086_2021-02-14_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-13 09:37:07	ga_ls7e_ard_3-2-0_101073_2021-03-13_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2021-04-10 10:01:09	ga_ls7e_ard_3-2-0_105077_2021-04-10_final
2021-04-17 10:08:44	ga_ls7e_ard_3-2-0_106082_2021-04-17_final
2021-04-27 10:38:59	ga_ls7e_ard_3-2-0_112067_2021-04-27_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-15 10:27:55	ga_ls7e_ard_3-2-0_110074_2021-05-15_final
2021-05-28 09:59:05	ga_ls7e_ard_3-2-0_105082_2021-05-28_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-09 10:20:01	ga_ls7e_ard_3-2-0_109075_2021-06-09_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-13 09:54:59	ga_ls7e_ard_3-2-0_105075_2021-06-13_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-16 09:00:11	ga_ls7e_ard_3-2-0_096084_2021-07-15_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-07-29 08:29:45	ga_ls7e_ard_3-2-0_091088_2021-07-28_final
2021-08-02 09:37:11	ga_ls7e_ard_3-2-0_103072_2021-08-02_final
2021-08-03 10:18:21	ga_ls7e_ard_3-2-0_110067_2021-08-03_final
2021-08-03 10:20:45	ga_ls7e_ard_3-2-0_110073_2021-08-03_final
2021-08-05 08:32:55	ga_ls7e_ard_3-2-0_092082_2021-08-04_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-09-04 10:15:33	ga_ls7e_ard_3-2-0_110067_2021-09-04_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-10-10 08:12:45	ga_ls7e_ard_3-2-0_090077_2021-10-09_final
2021-10-16 09:11:38	ga_ls7e_ard_3-2-0_100071_2021-10-15_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-10-24 09:59:57	ga_ls7e_ard_3-2-0_108070_2021-10-24_final
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-03 09:11:53	ga_ls7e_ard_3-2-1_100083_2021-12-02_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-27 08:18:32	ga_ls7e_ard_3-2-1_092079_2021-12-26_final
2022-01-04 09:04:22	ga_ls7e_ard_3-2-1_100072_2022-01-03_final
2022-01-05 09:47:08	ga_ls7e_ard_3-2-1_107071_2022-01-05_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_final
2022-01-15 10:28:04	ga_ls7e_ard_3-2-1_113083_2022-01-15_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-02-08 09:33:52	ga_ls7e_ard_3-2-1_105077_2022-02-08_final
2022-02-11 08:23:58	ga_ls7e_ard_3-2-1_094073_2022-02-10_final
2022-02-19 09:11:25	ga_ls7e_ard_3-2-1_102070_2022-02-18_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_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