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
1999-08-30 09:43:45	ga_ls7e_ard_3-0-0_095083_1999-08-30_final
2000-03-25 09:44:35	ga_ls7e_ard_3-0-0_095086_2000-03-25_final
2000-10-03 09:41:37	ga_ls7e_ard_3-0-0_095084_2000-10-03_final
2001-01-07 09:41:14	ga_ls7e_ard_3-0-0_095083_2001-01-07_final
2001-01-23 09:40:31	ga_ls7e_ard_3-0-0_095081_2001-01-23_final
2002-02-27 09:38:57	ga_ls7e_ard_3-0-0_095081_2002-02-27_final
2003-04-19 09:39:32	ga_ls7e_ard_3-0-0_095083_2003-04-19_final
2004-02-17 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-02-17_final
2005-08-14 09:38:56	ga_ls7e_ard_3-0-0_095080_2005-08-14_final
2006-05-13 09:39:40	ga_ls7e_ard_3-0-0_095080_2006-05-13_final
2008-05-02 09:40:28	ga_ls7e_ard_3-0-0_095082_2008-05-02_final
2008-06-19 09:38:54	ga_ls7e_ard_3-1-0_095079_2008-06-19_final
2010-01-16 09:42:19	ga_ls7e_ard_3-0-0_095083_2010-01-16_final
2010-05-08 09:41:21	ga_ls7e_ard_3-1-0_095079_2010-05-08_final
2010-06-25 09:41:22	ga_ls7e_ard_3-1-0_095079_2010-06-25_final
2010-08-28 09:43:51	ga_ls7e_ard_3-0-0_095085_2010-08-28_final
2012-09-02 09:44:07	ga_ls7e_ard_3-0-0_095078_2012-09-02_final
2012-10-20 09:44:59	ga_ls7e_ard_3-1-0_095079_2012-10-20_final
2012-12-23 09:46:08	ga_ls7e_ard_3-0-0_095081_2012-12-23_final
2013-01-24 09:46:11	ga_ls7e_ard_3-0-0_095081_2013-01-24_final
2013-04-14 09:45:12	ga_ls7e_ard_3-1-0_095079_2013-04-14_final
2013-06-17 09:45:39	ga_ls7e_ard_3-0-0_095081_2013-06-17_final
2014-03-16 09:46:28	ga_ls7e_ard_3-0-0_095080_2014-03-16_final
2014-06-20 09:47:00	ga_ls7e_ard_3-0-0_095080_2014-06-20_final
2015-04-20 09:48:49	ga_ls7e_ard_3-0-0_095080_2015-04-20_final
2015-09-27 09:50:46	ga_ls7e_ard_3-0-0_095083_2015-09-27_final
2015-11-14 09:49:53	ga_ls7e_ard_3-1-0_095079_2015-11-14_final
2017-10-18 09:51:26	ga_ls7e_ard_3-0-0_095078_2017-10-18_final
2017-10-18 09:53:26	ga_ls7e_ard_3-0-0_095083_2017-10-18_final
2018-04-28 09:50:07	ga_ls7e_ard_3-0-0_095080_2018-04-28_final
2018-11-22 09:45:08	ga_ls7e_ard_3-0-0_095078_2018-11-22_final
2019-01-09 09:44:35	ga_ls7e_ard_3-0-0_095080_2019-01-09_final
2019-04-15 09:41:53	ga_ls7e_ard_3-0-0_095081_2019-04-15_final
2019-06-02 09:39:41	ga_ls7e_ard_3-0-0_095080_2019-06-02_final
2019-06-02 09:40:53	ga_ls7e_ard_3-0-0_095083_2019-06-02_final
2020-05-03 09:25:03	ga_ls7e_ard_3-1-0_095083_2020-05-02_final
2020-08-23 09:17:49	ga_ls7e_ard_3-1-0_095082_2020-08-22_final
2020-09-24 09:14:31	ga_ls7e_ard_3-1-0_095079_2020-09-23_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2021-01-21 09:11:40	ga_ls7e_ard_3-2-0_096077_2021-01-20_final
2021-01-21 09:14:03	ga_ls7e_ard_3-2-0_096083_2021-01-20_final
2021-02-08 08:57:59	ga_ls7e_ard_3-2-0_094077_2021-02-07_final
2021-02-14 10:00:08	ga_ls7e_ard_3-2-0_104079_2021-02-14_final
2021-02-19 10:15:30	ga_ls7e_ard_3-2-0_107072_2021-02-19_final
2021-03-01 09:13:44	ga_ls7e_ard_3-2-0_097074_2021-02-28_final
2021-03-03 09:01:37	ga_ls7e_ard_3-2-0_095075_2021-03-02_final
2021-03-11 09:52:01	ga_ls7e_ard_3-2-0_103079_2021-03-11_final
2021-03-19 10:40:26	ga_ls7e_ard_3-2-0_111078_2021-03-19_final
2021-03-29 09:36:13	ga_ls7e_ard_3-2-0_101074_2021-03-29_final
2021-04-03 09:52:45	ga_ls7e_ard_3-2-0_104070_2021-04-03_final
2021-04-06 10:27:00	ga_ls7e_ard_3-2-0_109079_2021-04-06_final
2021-04-07 09:29:42	ga_ls7e_ard_3-2-0_100075_2021-04-06_final
2021-04-11 09:06:15	ga_ls7e_ard_3-2-0_096079_2021-04-10_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-05-01 10:14:43	ga_ls7e_ard_3-2-0_108069_2021-05-01_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-13 09:03:09	ga_ls7e_ard_3-2-0_096078_2021-05-12_final
2021-05-15 08:49:50	ga_ls7e_ard_3-2-0_094076_2021-05-14_final
2021-05-22 08:55:49	ga_ls7e_ard_3-2-0_095077_2021-05-21_final
2021-05-23 09:39:23	ga_ls7e_ard_3-2-0_102078_2021-05-23_final
2021-05-26 08:31:33	ga_ls7e_ard_3-2-0_091079_2021-05-25_final
2021-06-05 09:08:11	ga_ls7e_ard_3-2-0_097080_2021-06-04_final
2021-06-17 09:31:55	ga_ls7e_ard_3-2-0_101080_2021-06-17_final
2021-07-02 10:24:42	ga_ls7e_ard_3-2-0_110076_2021-07-02_final
2021-07-04 10:13:46	ga_ls7e_ard_3-2-0_108080_2021-07-04_final
2021-07-12 09:21:39	ga_ls7e_ard_3-2-0_100075_2021-07-11_final
2021-07-17 09:37:22	ga_ls7e_ard_3-2-0_103069_2021-07-17_final
2021-07-17 09:40:34	ga_ls7e_ard_3-2-0_103077_2021-07-17_final
2021-07-25 08:52:02	ga_ls7e_ard_3-2-0_095081_2021-07-24_final
2021-08-02 09:35:59	ga_ls7e_ard_3-2-0_103069_2021-08-02_final
2021-08-02 09:37:58	ga_ls7e_ard_3-2-0_103074_2021-08-02_final
2021-08-10 08:51:25	ga_ls7e_ard_3-2-0_095083_2021-08-09_final
2021-08-19 08:43:14	ga_ls7e_ard_3-2-0_094080_2021-08-18_final
2021-08-19 10:20:31	ga_ls7e_ard_3-2-0_110076_2021-08-19_final
2021-08-21 08:29:55	ga_ls7e_ard_3-2-0_092078_2021-08-20_final
2021-09-07 09:09:42	ga_ls7e_ard_3-2-0_099073_2021-09-06_final
2021-09-11 10:25:07	ga_ls7e_ard_3-2-0_111077_2021-09-11_final
2021-09-13 10:13:46	ga_ls7e_ard_3-2-0_109080_2021-09-13_final
2021-09-18 10:29:52	ga_ls7e_ard_3-2-0_112075_2021-09-18_final
2021-09-22 10:07:11	ga_ls7e_ard_3-2-0_108081_2021-09-22_final
2021-09-24 09:51:03	ga_ls7e_ard_3-2-0_106072_2021-09-24_final
2021-09-28 09:28:22	ga_ls7e_ard_3-2-0_102078_2021-09-27_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-11-02 09:58:31	ga_ls7e_ard_3-2-0_107084_2021-11-02_final
2021-11-13 09:36:56	ga_ls7e_ard_3-2-1_104079_2021-11-13_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-11-20 09:40:01	ga_ls7e_ard_3-2-1_105073_2021-11-20_final
2021-12-18 10:05:17	ga_ls7e_ard_3-2-1_109081_2021-12-18_final
2021-12-22 09:39:22	ga_ls7e_ard_3-2-1_105079_2021-12-22_final
2022-01-01 08:36:10	ga_ls7e_ard_3-2-1_095078_2021-12-31_final
2022-01-03 08:25:12	ga_ls7e_ard_3-2-1_093082_2022-01-02_final
2022-01-05 09:47:55	ga_ls7e_ard_3-2-1_107073_2022-01-05_final
2022-01-05 09:48:43	ga_ls7e_ard_3-2-1_107075_2022-01-05_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-24 09:32:40	ga_ls7e_ard_3-2-1_105078_2022-02-24_final
2022-02-25 08:34:58	ga_ls7e_ard_3-2-1_096073_2022-02-24_final
2022-03-04 08:41:40	ga_ls7e_ard_3-2-1_097076_2022-03-03_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_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