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
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
1999-10-24 11:27:07	ga_ls7e_ard_3-1-0_112079_1999-10-24_final
2000-06-03 09:04:48	ga_ls7e_ard_3-1-0_089081_2000-06-02_final
2000-09-07 09:03:40	ga_ls7e_ard_3-1-0_089081_2000-09-06_final
2000-10-16 09:10:49	ga_ls7e_ard_3-1-0_090085_2000-10-15_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2000-11-01 09:11:03	ga_ls7e_ard_3-1-0_090085_2000-10-31_final
2001-04-19 09:03:02	ga_ls7e_ard_3-1-0_089081_2001-04-18_final
2001-06-22 09:02:22	ga_ls7e_ard_3-1-0_089081_2001-06-21_final
2001-06-29 09:10:02	ga_ls7e_ard_3-1-0_090085_2001-06-28_final
2001-08-22 10:09:42	ga_ls7e_ard_3-1-0_100081_2001-08-22_final
2002-03-21 09:01:41	ga_ls7e_ard_3-1-0_089081_2002-03-20_final
2002-05-01 10:30:04	ga_ls7e_ard_3-1-0_104070_2002-05-01_final
2002-05-31 09:09:18	ga_ls7e_ard_3-1-0_090085_2002-05-30_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2003-08-16 11:22:40	ga_ls7e_ard_3-1-0_112079_2003-08-16_final
2005-04-01 09:34:16	ga_ls7e_ard_3-1-0_094083_2005-04-01_final
2005-06-30 10:10:17	ga_ls7e_ard_3-1-0_100081_2005-06-30_final
2005-12-29 09:34:20	ga_ls7e_ard_3-1-0_094083_2005-12-29_final
2007-01-23 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-01-23_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2012-05-06 09:39:11	ga_ls7e_ard_3-1-0_094083_2012-05-06_final
2012-07-23 11:29:08	ga_ls7e_ard_3-1-0_112079_2012-07-23_final
2013-11-17 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-11-17_final
2014-06-27 11:31:44	ga_ls7e_ard_3-1-0_112079_2014-06-27_final
2014-11-26 10:39:32	ga_ls7e_ard_3-1-0_104070_2014-11-26_final
2015-11-21 11:34:16	ga_ls7e_ard_3-1-0_112077_2015-11-21_final
2018-01-21 10:45:06	ga_ls7e_ard_3-1-0_104075_2018-01-21_final
2018-04-30 11:17:00	ga_ls7e_ard_3-1-0_109081_2018-04-30_final
2018-10-07 09:35:50	ga_ls7e_ard_3-1-0_093083_2018-10-07_final
2019-02-19 09:35:56	ga_ls7e_ard_3-1-0_094077_2019-02-19_final
2019-02-19 09:36:20	ga_ls7e_ard_3-1-0_094078_2019-02-19_final
2019-02-25 10:39:09	ga_ls7e_ard_3-1-0_104081_2019-02-25_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-13 10:36:14	ga_ls7e_ard_3-1-0_104075_2019-03-13_final
2019-03-16 09:29:45	ga_ls7e_ard_3-1-0_093079_2019-03-15_final
2019-03-23 09:35:18	ga_ls7e_ard_3-1-0_094078_2019-03-23_final
2019-08-28 11:20:32	ga_ls7e_ard_3-1-0_112078_2019-08-28_final
2019-09-08 11:01:55	ga_ls7e_ard_3-1-0_109079_2019-09-08_final
2019-09-13 11:18:38	ga_ls7e_ard_3-1-0_112075_2019-09-13_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-11-11 09:21:27	ga_ls7e_ard_3-1-0_093082_2019-11-10_final
2019-11-18 09:26:07	ga_ls7e_ard_3-1-0_094079_2019-11-17_final
2019-11-27 09:19:30	ga_ls7e_ard_3-1-0_093079_2019-11-26_final
2019-11-27 10:58:47	ga_ls7e_ard_3-1-0_109080_2019-11-27_final
2020-01-03 11:15:03	ga_ls7e_ard_3-1-0_112079_2020-01-03_final
2020-01-05 09:23:42	ga_ls7e_ard_3-1-0_094079_2020-01-04_final
2020-01-21 09:22:07	ga_ls7e_ard_3-1-0_094077_2020-01-20_final
2020-02-12 10:22:00	ga_ls7e_ard_3-1-0_104075_2020-02-12_final
2020-03-18 09:14:57	ga_ls7e_ard_3-1-0_093082_2020-03-17_final
2020-03-18 10:52:38	ga_ls7e_ard_3-1-0_109079_2020-03-18_final
2020-04-09 10:14:18	ga_ls7e_ard_3-1-0_103079_2020-04-09_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-29 09:46:49	ga_ls7e_ard_3-1-0_099075_2020-04-29_final
2020-08-23 10:50:43	ga_ls7e_ard_3-1-0_111067_2020-08-23_final
2020-09-01 09:09:04	ga_ls7e_ard_3-1-0_094077_2020-08-31_final
2020-09-08 09:16:23	ga_ls7e_ard_3-1-0_095081_2020-09-07_final
2020-09-16 10:02:54	ga_ls7e_ard_3-1-0_103075_2020-09-16_final
2020-09-23 10:09:48	ga_ls7e_ard_3-1-0_104078_2020-09-23_final
2020-09-23 10:10:12	ga_ls7e_ard_3-1-0_104079_2020-09-23_final
2020-09-24 09:14:31	ga_ls7e_ard_3-1-0_095079_2020-09-23_final
2020-09-25 09:57:19	ga_ls7e_ard_3-1-0_102078_2020-09-25_final
2020-10-01 09:19:28	ga_ls7e_ard_3-1-0_096077_2020-09-30_final
2020-10-05 10:33:22	ga_ls7e_ard_3-1-0_108077_2020-10-05_final
2020-10-10 09:13:30	ga_ls7e_ard_3-1-0_095079_2020-10-09_final
2020-10-10 10:47:36	ga_ls7e_ard_3-1-0_111067_2020-10-10_final
2020-10-13 09:42:37	ga_ls7e_ard_3-1-0_100075_2020-10-13_final
2020-11-04 09:05:17	ga_ls7e_ard_3-1-0_094078_2020-11-03_final
2020-11-09 10:57:58	ga_ls7e_ard_3-1-0_113067_2020-11-09_final
2020-11-11 10:49:51	ga_ls7e_ard_3-1-0_111078_2020-11-11_final
2020-11-15 10:24:52	ga_ls7e_ard_3-1-0_107078_2020-11-15_final
2020-11-17 10:13:33	ga_ls7e_ard_3-1-0_105081_2020-11-17_final
2020-11-20 09:04:34	ga_ls7e_ard_3-1-0_094079_2020-11-19_final
2020-11-21 09:48:09	ga_ls7e_ard_3-1-0_101080_2020-11-21_final
2020-11-27 10:49:32	ga_ls7e_ard_3-1-0_111080_2020-11-27_final
2020-11-29 08:57:45	ga_ls7e_ard_3-1-0_093079_2020-11-28_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2020-12-13 10:47:57	ga_ls7e_ard_3-1-0_111079_2020-12-13_final
2020-12-20 09:16:18	ga_ls7e_ard_3-1-0_096083_2020-12-19_final
2021-01-18 08:41:46	ga_ls7e_ard_3-1-0_091079_2021-01-17_final
2021-01-28 09:16:32	ga_ls7e_ard_3-2-0_097075_2021-01-27_final
2021-02-06 09:08:06	ga_ls7e_ard_3-2-0_096071_2021-02-05_final
2021-02-06 09:10:05	ga_ls7e_ard_3-2-0_096076_2021-02-05_final
2021-02-14 10:00:56	ga_ls7e_ard_3-2-0_104081_2021-02-14_final
2021-02-15 09:04:26	ga_ls7e_ard_3-2-0_095079_2021-02-14_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-01 09:17:43	ga_ls7e_ard_3-2-0_097084_2021-02-28_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-04 09:45:59	ga_ls7e_ard_3-2-0_102078_2021-03-04_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_final
2021-03-26 09:06:46	ga_ls7e_ard_3-2-0_096077_2021-03-25_final
2021-03-28 08:56:38	ga_ls7e_ard_3-2-0_094083_2021-03-27_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-10 09:58:45	ga_ls7e_ard_3-2-0_105071_2021-04-10_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-04-01 09:05:15	ga_ls7e_ard_3-2-1_101080_2022-03-31_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