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
1999-08-14 09:44:04	ga_ls7e_ard_3-0-0_095084_1999-08-14_final
1999-08-30 09:44:09	ga_ls7e_ard_3-0-0_095084_1999-08-30_final
1999-11-02 09:44:28	ga_ls7e_ard_3-0-0_095085_1999-11-02_final
2000-04-26 09:42:19	ga_ls7e_ard_3-0-0_095081_2000-04-26_final
2000-09-17 09:40:56	ga_ls7e_ard_3-0-0_095082_2000-09-17_final
2000-10-19 09:39:47	ga_ls7e_ard_3-0-0_095080_2000-10-19_final
2000-11-04 09:41:57	ga_ls7e_ard_3-0-0_095085_2000-11-04_final
2001-11-23 09:39:20	ga_ls7e_ard_3-0-0_095083_2001-11-23_final
2003-01-13 09:37:12	ga_ls7e_ard_3-0-0_095078_2003-01-13_final
2003-05-21 09:37:52	ga_ls7e_ard_3-1-0_095079_2003-05-21_final
2004-03-20 09:38:04	ga_ls7e_ard_3-0-0_095078_2004-03-20_final
2004-09-28 09:37:47	ga_ls7e_ard_3-1-0_095079_2004-09-28_final
2005-01-18 09:38:36	ga_ls7e_ard_3-1-0_095079_2005-01-18_final
2005-09-15 09:37:51	ga_ls7e_ard_3-0-0_095078_2005-09-15_final
2005-10-01 09:38:16	ga_ls7e_ard_3-1-0_095079_2005-10-01_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2007-08-04 09:39:18	ga_ls7e_ard_3-1-0_095079_2007-08-04_final
2009-10-12 09:39:16	ga_ls7e_ard_3-1-0_095079_2009-10-12_final
2010-04-06 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-06_final
2012-03-10 09:42:53	ga_ls7e_ard_3-0-0_095078_2012-03-10_final
2012-03-26 09:42:55	ga_ls7e_ard_3-0-0_095078_2012-03-26_final
2012-08-01 09:43:44	ga_ls7e_ard_3-0-0_095078_2012-08-01_final
2012-09-02 09:44:55	ga_ls7e_ard_3-0-0_095080_2012-09-02_final
2012-09-02 09:47:42	ga_ls7e_ard_3-0-0_095087_2012-09-02_final
2013-04-30 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-04-30_final
2014-01-11 09:46:04	ga_ls7e_ard_3-0-0_095080_2014-01-11_final
2015-02-15 09:47:29	ga_ls7e_ard_3-0-0_095078_2015-02-15_final
2015-09-27 09:48:46	ga_ls7e_ard_3-0-0_095078_2015-09-27_final
2016-04-06 09:50:58	ga_ls7e_ard_3-0-0_095078_2016-04-06_final
2017-08-31 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-08-31_final
2018-01-22 09:51:03	ga_ls7e_ard_3-1-0_095079_2018-01-22_final
2018-04-12 09:49:36	ga_ls7e_ard_3-0-0_095078_2018-04-12_final
2018-04-28 09:49:19	ga_ls7e_ard_3-0-0_095078_2018-04-28_final
2018-09-03 09:47:23	ga_ls7e_ard_3-0-0_095079_2018-09-03_final
2018-12-08 09:45:07	ga_ls7e_ard_3-1-0_095079_2018-12-08_final
2019-02-10 09:42:47	ga_ls7e_ard_3-0-0_095078_2019-02-10_final
2019-11-09 09:32:43	ga_ls7e_ard_3-1-0_095079_2019-11-09_final
2019-12-11 09:30:23	ga_ls7e_ard_3-1-0_095077_2019-12-11_final
2019-12-11 09:30:47	ga_ls7e_ard_3-1-0_095078_2019-12-11_final
2020-06-04 09:20:43	ga_ls7e_ard_3-1-0_095077_2020-06-03_final
2020-08-23 09:16:38	ga_ls7e_ard_3-1-0_095079_2020-08-22_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2021-02-07 09:52:53	ga_ls7e_ard_3-2-0_103075_2021-02-07_final
2021-02-23 09:51:40	ga_ls7e_ard_3-2-0_103075_2021-02-23_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-18 09:56:51	ga_ls7e_ard_3-2-0_104077_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-04-03 09:56:21	ga_ls7e_ard_3-2-0_104079_2021-04-03_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-04-19 09:55:48	ga_ls7e_ard_3-2-0_104081_2021-04-19_final
2021-04-28 09:46:28	ga_ls7e_ard_3-2-0_103075_2021-04-28_final
2021-04-28 09:48:04	ga_ls7e_ard_3-2-0_103079_2021-04-28_final
2021-05-07 09:40:44	ga_ls7e_ard_3-2-0_102078_2021-05-07_final
2021-05-15 10:29:54	ga_ls7e_ard_3-2-0_110079_2021-05-15_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-05-16 09:35:00	ga_ls7e_ard_3-2-0_101081_2021-05-16_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-03 09:21:06	ga_ls7e_ard_3-2-0_099081_2021-06-02_final
2021-06-04 10:03:05	ga_ls7e_ard_3-2-0_106078_2021-06-04_final
2021-06-07 10:33:20	ga_ls7e_ard_3-2-0_111077_2021-06-07_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-18 08:37:49	ga_ls7e_ard_3-2-0_092084_2021-06-17_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-09-07 09:10:30	ga_ls7e_ard_3-2-0_099075_2021-09-06_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-16 09:03:56	ga_ls7e_ard_3-2-0_098076_2021-09-15_final
2021-09-23 09:09:05	ga_ls7e_ard_3-2-0_099075_2021-09-22_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-13 08:43:00	ga_ls7e_ard_3-2-0_095076_2021-10-12_final
2021-10-14 09:26:10	ga_ls7e_ard_3-2-0_102076_2021-10-13_final
2021-10-18 09:00:17	ga_ls7e_ard_3-2-0_098074_2021-10-17_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-11 08:24:46	ga_ls7e_ard_3-2-1_094075_2022-02-10_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_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