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
2000-01-01 11:44:48	ga_ls7e_ard_3-0-0_115077_2000-01-01_final
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-02-02 11:45:11	ga_ls7e_ard_3-0-0_115078_2000-02-02_final
2000-08-12 11:43:29	ga_ls7e_ard_3-0-0_115078_2000-08-12_final
2002-01-22 11:41:16	ga_ls7e_ard_3-0-0_115078_2002-01-22_final
2003-02-26 11:41:03	ga_ls7e_ard_3-0-0_115078_2003-02-26_final
2003-05-01 11:41:10	ga_ls7e_ard_3-0-0_115078_2003-05-01_final
2005-08-26 11:42:03	ga_ls7e_ard_3-0-0_115079_2005-08-26_final
2005-11-14 11:42:17	ga_ls7e_ard_3-0-0_115079_2005-11-14_final
2006-04-07 11:42:03	ga_ls7e_ard_3-1-0_115077_2006-04-07_final
2006-11-17 11:41:33	ga_ls7e_ard_3-0-0_115076_2006-11-17_final
2008-12-24 11:41:58	ga_ls7e_ard_3-0-0_115078_2008-12-24_final
2009-07-20 11:42:18	ga_ls7e_ard_3-1-0_115077_2009-07-20_final
2009-09-22 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-09-22_final
2011-12-17 11:46:14	ga_ls7e_ard_3-0-0_115078_2011-12-17_final
2012-08-13 11:46:43	ga_ls7e_ard_3-0-0_115076_2012-08-13_final
2013-06-29 11:46:45	ga_ls7e_ard_3-0-0_115075_2013-06-29_final
2014-04-29 11:48:01	ga_ls7e_ard_3-0-0_115074_2014-04-29_final
2014-07-18 11:49:56	ga_ls7e_ard_3-0-0_115078_2014-07-18_final
2014-08-03 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-08-03_final
2014-09-04 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-09-04_final
2015-01-26 11:50:13	ga_ls7e_ard_3-0-0_115076_2015-01-26_final
2016-07-23 11:55:24	ga_ls7e_ard_3-0-0_115079_2016-07-23_final
2016-08-24 11:53:28	ga_ls7e_ard_3-0-0_115074_2016-08-24_final
2016-08-24 11:54:16	ga_ls7e_ard_3-0-0_115076_2016-08-24_final
2018-05-26 11:52:03	ga_ls7e_ard_3-0-0_115077_2018-05-26_final
2018-11-18 11:47:15	ga_ls7e_ard_3-0-0_115074_2018-11-18_final
2018-12-04 11:47:14	ga_ls7e_ard_3-0-0_115075_2018-12-04_final
2019-10-20 11:35:12	ga_ls7e_ard_3-1-0_115074_2019-10-20_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2020-11-22 08:51:16	ga_ls7e_ard_3-1-0_092077_2020-11-21_final
2020-12-13 10:43:09	ga_ls7e_ard_3-1-0_111067_2020-12-13_final
2020-12-28 09:59:35	ga_ls7e_ard_3-1-0_104069_2020-12-28_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-01-22 09:51:39	ga_ls7e_ard_3-2-0_103069_2021-01-22_final
2021-01-27 08:34:33	ga_ls7e_ard_3-2-0_090078_2021-01-26_final
2021-01-30 09:07:37	ga_ls7e_ard_3-2-0_095084_2021-01-29_final
2021-02-03 10:18:17	ga_ls7e_ard_3-2-0_107076_2021-02-03_final
2021-02-04 09:21:00	ga_ls7e_ard_3-2-0_098072_2021-02-03_final
2021-02-06 09:11:17	ga_ls7e_ard_3-2-0_096079_2021-02-05_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-03-12 08:54:20	ga_ls7e_ard_3-2-0_094074_2021-03-11_final
2021-03-18 09:53:39	ga_ls7e_ard_3-2-0_104069_2021-03-18_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-03-26 10:41:39	ga_ls7e_ard_3-2-0_112067_2021-03-26_final
2021-03-30 10:17:48	ga_ls7e_ard_3-2-0_108070_2021-03-30_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-04-10 08:23:52	ga_ls7e_ard_3-2-0_089081_2021-04-09_final
2021-04-17 08:31:03	ga_ls7e_ard_3-2-0_090085_2021-04-16_final
2021-04-28 09:48:51	ga_ls7e_ard_3-2-0_103081_2021-04-28_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-03 08:26:55	ga_ls7e_ard_3-2-0_090078_2021-05-02_final
2021-05-10 10:10:11	ga_ls7e_ard_3-2-0_107075_2021-05-10_final
2021-05-27 09:13:55	ga_ls7e_ard_3-2-0_098077_2021-05-26_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-06-09 10:18:25	ga_ls7e_ard_3-2-0_109071_2021-06-09_final
2021-06-13 08:20:05	ga_ls7e_ard_3-2-0_089085_2021-06-12_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-14 09:09:55	ga_ls7e_ard_3-2-0_098077_2021-07-13_final
2021-07-24 09:48:08	ga_ls7e_ard_3-2-0_104082_2021-07-24_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-04 09:24:14	ga_ls7e_ard_3-2-0_101071_2021-08-03_final
2021-08-12 10:12:58	ga_ls7e_ard_3-2-0_109071_2021-08-12_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-17 10:29:28	ga_ls7e_ard_3-2-0_112067_2021-08-17_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-09-19 09:36:33	ga_ls7e_ard_3-2-0_103081_2021-09-19_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-09-27 08:47:11	ga_ls7e_ard_3-2-0_095083_2021-09-26_final
2021-10-03 08:07:59	ga_ls7e_ard_3-2-0_089079_2021-10-02_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-09 09:09:40	ga_ls7e_ard_3-2-0_099080_2021-10-08_final
2021-10-15 08:31:15	ga_ls7e_ard_3-2-0_093078_2021-10-14_final
2021-10-18 09:04:17	ga_ls7e_ard_3-2-0_098084_2021-10-17_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-05 10:35:02	ga_ls7e_ard_3-2-1_114075_2021-12-05_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-22 08:00:30	ga_ls7e_ard_3-2-1_089079_2021-12-21_final
2021-12-24 09:26:01	ga_ls7e_ard_3-2-1_103077_2021-12-23_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2021-12-26 09:13:27	ga_ls7e_ard_3-2-1_101077_2021-12-25_final
2021-12-29 09:42:51	ga_ls7e_ard_3-2-1_106074_2021-12-29_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-05 08:10:39	ga_ls7e_ard_3-2-1_091077_2022-01-04_final
2022-01-09 09:20:50	ga_ls7e_ard_3-2-1_103068_2022-01-08_final
2022-01-27 09:11:57	ga_ls7e_ard_3-2-1_101081_2022-01-26_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years