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
1999-07-29 09:42:28	ga_ls7e_ard_3-0-0_095080_1999-07-29_final
1999-08-30 09:44:09	ga_ls7e_ard_3-0-0_095084_1999-08-30_final
1999-08-30 09:44:56	ga_ls7e_ard_3-0-0_095086_1999-08-30_final
1999-11-02 09:44:28	ga_ls7e_ard_3-0-0_095085_1999-11-02_final
2000-10-03 09:40:01	ga_ls7e_ard_3-0-0_095080_2000-10-03_final
2000-10-19 09:39:47	ga_ls7e_ard_3-0-0_095080_2000-10-19_final
2000-11-04 09:41:09	ga_ls7e_ard_3-0-0_095083_2000-11-04_final
2001-08-19 09:38:49	ga_ls7e_ard_3-0-0_095081_2001-08-19_final
2007-02-25 09:40:28	ga_ls7e_ard_3-0-0_095081_2007-02-25_final
2008-08-22 09:38:18	ga_ls7e_ard_3-1-0_095079_2008-08-22_final
2009-03-02 09:39:15	ga_ls7e_ard_3-1-0_095079_2009-03-02_final
2011-01-03 09:42:23	ga_ls7e_ard_3-1-0_095079_2011-01-03_final
2011-01-19 09:42:07	ga_ls7e_ard_3-0-0_095078_2011-01-19_final
2011-02-04 09:42:36	ga_ls7e_ard_3-1-0_095079_2011-02-04_final
2012-03-10 09:43:17	ga_ls7e_ard_3-1-0_095079_2012-03-10_final
2012-07-16 09:43:35	ga_ls7e_ard_3-0-0_095078_2012-07-16_final
2012-07-16 09:43:59	ga_ls7e_ard_3-1-0_095079_2012-07-16_final
2013-03-13 09:44:56	ga_ls7e_ard_3-0-0_095078_2013-03-13_final
2013-03-13 09:45:20	ga_ls7e_ard_3-1-0_095079_2013-03-13_final
2013-04-14 09:46:24	ga_ls7e_ard_3-0-0_095082_2013-04-14_final
2013-04-30 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-04-30_final
2013-05-16 09:45:28	ga_ls7e_ard_3-0-0_095080_2013-05-16_final
2013-06-01 09:44:32	ga_ls7e_ard_3-0-0_095078_2013-06-01_final
2013-07-19 09:45:45	ga_ls7e_ard_3-0-0_095082_2013-07-19_final
2013-08-20 09:45:20	ga_ls7e_ard_3-0-0_095081_2013-08-20_final
2013-09-21 09:45:41	ga_ls7e_ard_3-0-0_095081_2013-09-21_final
2013-11-24 09:45:26	ga_ls7e_ard_3-1-0_095079_2013-11-24_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2014-01-11 09:45:16	ga_ls7e_ard_3-0-0_095078_2014-01-11_final
2014-06-04 09:47:24	ga_ls7e_ard_3-0-0_095081_2014-06-04_final
2014-10-26 09:46:54	ga_ls7e_ard_3-0-0_095078_2014-10-26_final
2014-12-13 09:47:39	ga_ls7e_ard_3-1-0_095079_2014-12-13_final
2015-06-07 09:48:22	ga_ls7e_ard_3-0-0_095078_2015-06-07_final
2017-02-04 09:50:47	ga_ls7e_ard_3-0-0_095078_2017-02-04_final
2017-06-12 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-06-12_final
2017-08-31 09:51:25	ga_ls7e_ard_3-0-0_095078_2017-08-31_final
2017-09-16 09:51:23	ga_ls7e_ard_3-0-0_095078_2017-09-16_final
2017-11-19 09:51:22	ga_ls7e_ard_3-0-0_095078_2017-11-19_final
2018-08-18 09:47:43	ga_ls7e_ard_3-1-0_095079_2018-08-18_final
2019-02-26 09:42:18	ga_ls7e_ard_3-1-0_095078_2019-02-26_final
2019-07-20 09:37:05	ga_ls7e_ard_3-0-0_095078_2019-07-20_final
2019-09-22 09:34:46	ga_ls7e_ard_3-1-0_095079_2019-09-22_final
2019-11-09 09:32:19	ga_ls7e_ard_3-1-0_095078_2019-11-09_final
2019-12-11 09:31:11	ga_ls7e_ard_3-1-0_095079_2019-12-11_final
2020-06-04 09:21:31	ga_ls7e_ard_3-1-0_095079_2020-06-03_final
2020-08-23 09:16:38	ga_ls7e_ard_3-1-0_095079_2020-08-22_final
2020-09-08 09:15:35	ga_ls7e_ard_3-1-0_095079_2020-09-07_final
2021-03-03 09:02:25	ga_ls7e_ard_3-2-0_095077_2021-03-02_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-12 08:55:55	ga_ls7e_ard_3-2-0_094078_2021-03-11_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-21 10:28:18	ga_ls7e_ard_3-2-0_109079_2021-03-21_final
2021-03-26 09:06:22	ga_ls7e_ard_3-2-0_096076_2021-03-25_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-22 10:25:39	ga_ls7e_ard_3-2-0_109079_2021-04-22_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-07 09:40:44	ga_ls7e_ard_3-2-0_102078_2021-05-07_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-06-01 09:33:13	ga_ls7e_ard_3-2-0_101080_2021-06-01_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-05 09:06:35	ga_ls7e_ard_3-2-0_097076_2021-06-04_final
2021-06-17 09:31:32	ga_ls7e_ard_3-2-0_101079_2021-06-17_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-06-30 10:38:26	ga_ls7e_ard_3-2-0_112079_2021-06-30_final
2021-07-04 10:12:58	ga_ls7e_ard_3-2-0_108078_2021-07-04_final
2021-07-16 08:57:00	ga_ls7e_ard_3-2-0_096076_2021-07-15_final
2021-07-23 10:43:27	ga_ls7e_ard_3-2-0_113081_2021-07-23_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-17 10:33:51	ga_ls7e_ard_3-2-0_112078_2021-08-17_final
2021-08-19 08:41:15	ga_ls7e_ard_3-2-0_094075_2021-08-18_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-08-28 10:14:46	ga_ls7e_ard_3-2-0_109079_2021-08-28_final
2021-08-31 09:04:56	ga_ls7e_ard_3-2-0_098075_2021-08-30_final
2021-09-02 08:52:48	ga_ls7e_ard_3-2-0_096076_2021-09-01_final
2021-09-04 10:19:57	ga_ls7e_ard_3-2-0_110078_2021-09-04_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-09-25 08:56:32	ga_ls7e_ard_3-2-0_097075_2021-09-24_final
2021-10-04 08:50:22	ga_ls7e_ard_3-2-0_096077_2021-10-03_final
2021-10-04 10:29:14	ga_ls7e_ard_3-2-0_112077_2021-10-04_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-10-08 10:04:10	ga_ls7e_ard_3-2-0_108077_2021-10-08_final
2021-10-24 10:03:08	ga_ls7e_ard_3-2-0_108078_2021-10-24_final
2021-10-27 08:53:41	ga_ls7e_ard_3-2-0_097075_2021-10-26_final
2021-11-02 08:18:27	ga_ls7e_ard_3-2-0_091081_2021-11-01_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2021-12-20 09:51:32	ga_ls7e_ard_3-2-1_107078_2021-12-20_final
2021-12-27 09:57:01	ga_ls7e_ard_3-2-1_108078_2021-12-27_final
2022-01-08 08:40:52	ga_ls7e_ard_3-2-1_096076_2022-01-07_final
2022-01-14 08:06:01	ga_ls7e_ard_3-2-1_090083_2022-01-13_final
2022-02-13 09:51:53	ga_ls7e_ard_3-2-1_108077_2022-02-13_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_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