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
1999-11-04 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-11-04_final
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2002-10-11 09:27:37	ga_ls7e_ard_3-1-0_093087_2002-10-10_final
2004-05-22 10:30:24	ga_ls7e_ard_3-1-0_104070_2004-05-22_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2004-12-19 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-12-18_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-10-22 09:29:37	ga_ls7e_ard_3-1-0_093087_2006-10-21_final
2007-04-29 10:35:17	ga_ls7e_ard_3-1-0_104079_2007-04-29_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2009-12-30 10:32:29	ga_ls7e_ard_3-1-0_104070_2009-12-30_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-04-24 09:29:50	ga_ls7e_ard_3-1-0_093081_2010-04-23_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2012-09-20 09:35:30	ga_ls7e_ard_3-1-0_093087_2012-09-20_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2013-07-05 09:33:55	ga_ls7e_ard_3-1-0_093083_2013-07-05_final
2013-09-23 09:35:44	ga_ls7e_ard_3-1-0_093087_2013-09-23_final
2013-11-26 09:36:17	ga_ls7e_ard_3-1-0_093087_2013-11-26_final
2014-06-22 09:37:28	ga_ls7e_ard_3-1-0_093087_2014-06-22_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2018-06-30 10:44:14	ga_ls7e_ard_3-1-0_104079_2018-06-30_final
2018-08-14 10:14:54	ga_ls7e_ard_3-1-0_099085_2018-08-14_final
2019-02-06 10:10:25	ga_ls7e_ard_3-1-0_099085_2019-02-06_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-02-22 10:06:20	ga_ls7e_ard_3-1-0_099076_2019-02-22_final
2019-02-22 10:07:56	ga_ls7e_ard_3-1-0_099080_2019-02-22_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-03-10 10:07:50	ga_ls7e_ard_3-1-0_099081_2019-03-10_final
2019-03-18 10:57:25	ga_ls7e_ard_3-1-0_107082_2019-03-18_final
2019-03-26 10:07:18	ga_ls7e_ard_3-1-0_099081_2019-03-26_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2019-09-18 10:00:52	ga_ls7e_ard_3-1-0_099082_2019-09-18_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-04 09:59:47	ga_ls7e_ard_3-1-0_099081_2019-10-04_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-12 10:48:06	ga_ls7e_ard_3-1-0_107079_2019-10-12_final
2019-11-05 09:56:25	ga_ls7e_ard_3-1-0_099076_2019-11-05_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-29 10:45:32	ga_ls7e_ard_3-1-0_107078_2019-11-29_final
2019-12-07 09:54:54	ga_ls7e_ard_3-1-0_099076_2019-12-07_final
2019-12-29 09:18:42	ga_ls7e_ard_3-1-0_093081_2019-12-28_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2019-12-31 10:42:19	ga_ls7e_ard_3-1-0_107074_2019-12-31_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-16 10:41:06	ga_ls7e_ard_3-1-0_107073_2020-01-16_final
2020-01-30 09:17:53	ga_ls7e_ard_3-1-0_093083_2020-01-29_final
2020-01-30 09:18:41	ga_ls7e_ard_3-1-0_093085_2020-01-29_final
2020-02-01 10:44:42	ga_ls7e_ard_3-1-0_107084_2020-02-01_final
2020-02-12 10:23:36	ga_ls7e_ard_3-1-0_104079_2020-02-12_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-02-25 09:48:26	ga_ls7e_ard_3-1-0_099070_2020-02-25_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-20 10:39:21	ga_ls7e_ard_3-1-0_107077_2020-03-20_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-16 10:21:17	ga_ls7e_ard_3-1-0_104082_2020-04-16_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-04-21 10:38:20	ga_ls7e_ard_3-1-0_107079_2020-04-21_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2020-04-29 09:44:49	ga_ls7e_ard_3-1-0_099070_2020-04-29_final
2020-04-29 09:47:13	ga_ls7e_ard_3-1-0_099076_2020-04-29_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-21 09:21:38	ga_ls7e_ard_3-2-1_104072_2022-03-20_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-22 10:06:00	ga_ls7e_ard_3-2-1_111075_2022-03-22_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_final
2022-03-29 08:31:27	ga_ls7e_ard_3-2-1_096072_2022-03-28_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_final
2022-04-01 09:03:39	ga_ls7e_ard_3-2-1_101076_2022-03-31_final
2022-04-02 09:45:13	ga_ls7e_ard_3-2-1_108072_2022-04-02_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_final
2022-04-03 10:30:22	ga_ls7e_ard_3-2-1_115077_2022-04-03_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-04 09:32:15	ga_ls7e_ard_3-2-1_106071_2022-04-04_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_2022-04-04_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years