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
1999-12-11 11:28:24	ga_ls7e_ard_3-0-0_112082_1999-12-11_final
2000-07-06 11:27:51	ga_ls7e_ard_3-0-0_112084_2000-07-06_final
2001-04-11 11:30:57	ga_ls7e_ard_3-0-0_113080_2001-04-11_final
2001-09-27 11:23:29	ga_ls7e_ard_3-0-0_112081_2001-09-27_final
2001-11-05 11:30:49	ga_ls7e_ard_3-0-0_113084_2001-11-05_final
2002-08-04 11:30:14	ga_ls7e_ard_3-0-0_113083_2002-08-04_final
2002-09-21 11:30:12	ga_ls7e_ard_3-0-0_113084_2002-09-21_final
2003-05-19 11:31:07	ga_ls7e_ard_3-0-0_113084_2003-05-19_final
2004-07-17 11:21:38	ga_ls7e_ard_3-0-0_112075_2004-07-17_final
2004-11-22 11:22:53	ga_ls7e_ard_3-0-0_112078_2004-11-22_final
2005-06-16 11:36:04	ga_ls7e_ard_3-0-0_114079_2005-06-16_final
2006-09-09 11:22:38	ga_ls7e_ard_3-0-0_112076_2006-09-09_final
2006-09-23 11:36:06	ga_ls7e_ard_3-0-0_114079_2006-09-23_final
2007-05-30 11:32:41	ga_ls7e_ard_3-0-0_113084_2007-05-30_final
2008-03-04 11:32:01	ga_ls7e_ard_3-0-0_114067_2008-03-04_final
2008-06-17 11:32:09	ga_ls7e_ard_3-0-0_113084_2008-06-17_final
2008-11-26 11:19:22	ga_ls7e_ard_3-0-0_111084_2008-11-26_final
2009-10-26 11:32:45	ga_ls7e_ard_3-0-0_113084_2009-10-26_final
2010-04-04 11:34:39	ga_ls7e_ard_3-0-0_113084_2010-04-04_final
2010-05-22 11:33:21	ga_ls7e_ard_3-0-0_113081_2010-05-22_final
2012-06-19 11:41:28	ga_ls7e_ard_3-0-0_114080_2012-06-19_final
2012-09-09 11:24:52	ga_ls7e_ard_3-0-0_112067_2012-09-09_final
2012-12-30 11:29:37	ga_ls7e_ard_3-0-0_112077_2012-12-30_final
2013-10-23 11:26:08	ga_ls7e_ard_3-0-0_111084_2013-10-23_final
2014-01-27 11:26:53	ga_ls7e_ard_3-0-0_111084_2014-01-27_final
2014-10-17 11:27:29	ga_ls7e_ard_3-0-0_112067_2014-10-17_final
2015-03-26 11:28:31	ga_ls7e_ard_3-0-0_112067_2015-03-26_final
2016-06-16 11:36:01	ga_ls7e_ard_3-0-0_112077_2016-06-16_final
2016-06-16 11:38:49	ga_ls7e_ard_3-0-0_112084_2016-06-16_final
2017-08-22 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-08-22_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-10-23 11:48:04	ga_ls7e_ard_3-0-0_114076_2017-10-23_final
2018-08-09 11:33:45	ga_ls7e_ard_3-0-0_112081_2018-08-09_final
2019-06-07 11:36:56	ga_ls7e_ard_3-0-0_114080_2019-06-07_final
2020-06-18 11:13:56	ga_ls7e_ard_3-1-0_113084_2020-06-18_final
2020-09-04 11:17:27	ga_ls7e_ard_3-1-0_115074_2020-09-04_final
2020-09-04 11:19:27	ga_ls7e_ard_3-1-0_115079_2020-09-04_final
2020-09-06 11:07:21	ga_ls7e_ard_3-1-0_113080_2020-09-06_final
2020-09-06 11:07:45	ga_ls7e_ard_3-1-0_113081_2020-09-06_final
2020-12-01 10:26:07	ga_ls7e_ard_3-1-0_107084_2020-12-01_final
2020-12-10 10:18:28	ga_ls7e_ard_3-1-0_106082_2020-12-10_final
2020-12-20 09:15:54	ga_ls7e_ard_3-1-0_096082_2020-12-19_final
2020-12-27 09:18:48	ga_ls7e_ard_3-1-0_097075_2020-12-26_final
2021-02-04 09:20:12	ga_ls7e_ard_3-2-0_098070_2021-02-03_final
2021-02-12 10:13:26	ga_ls7e_ard_3-2-0_106081_2021-02-12_final
2021-02-13 09:12:57	ga_ls7e_ard_3-2-0_097069_2021-02-12_final
2021-03-01 10:54:12	ga_ls7e_ard_3-2-0_113078_2021-03-01_final
2021-03-16 08:33:41	ga_ls7e_ard_3-2-0_090085_2021-03-15_final
2021-03-16 10:07:22	ga_ls7e_ard_3-2-0_106072_2021-03-16_final
2021-03-25 09:59:16	ga_ls7e_ard_3-2-0_105069_2021-03-25_final
2021-04-25 09:19:49	ga_ls7e_ard_3-2-0_098085_2021-04-24_final
2021-05-04 10:48:34	ga_ls7e_ard_3-2-0_113077_2021-05-04_final
2021-05-22 10:37:05	ga_ls7e_ard_3-2-0_111083_2021-05-22_final
2021-05-24 08:47:40	ga_ls7e_ard_3-2-0_093088_2021-05-23_final
2021-05-24 10:22:09	ga_ls7e_ard_3-2-0_109077_2021-05-24_final
2021-05-29 10:39:52	ga_ls7e_ard_3-2-0_112076_2021-05-29_final
2021-06-02 10:17:36	ga_ls7e_ard_3-2-0_108083_2021-06-02_final
2021-06-09 08:46:20	ga_ls7e_ard_3-2-0_093088_2021-06-08_final
2021-06-11 08:33:49	ga_ls7e_ard_3-2-0_091088_2021-06-10_final
2021-06-11 10:10:17	ga_ls7e_ard_3-2-0_107082_2021-06-11_final
2021-06-16 10:26:26	ga_ls7e_ard_3-2-0_110077_2021-06-16_final
2021-06-18 08:39:25	ga_ls7e_ard_3-2-0_092088_2021-06-17_final
2021-06-21 10:47:21	ga_ls7e_ard_3-2-0_113084_2021-06-21_final
2021-07-16 08:54:36	ga_ls7e_ard_3-2-0_096070_2021-07-15_final
2021-07-19 09:30:26	ga_ls7e_ard_3-2-0_101083_2021-07-19_final
2021-07-20 08:36:19	ga_ls7e_ard_3-2-0_092087_2021-07-19_final
2021-08-10 08:45:02	ga_ls7e_ard_3-2-0_095067_2021-08-09_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-09-12 09:30:36	ga_ls7e_ard_3-2-0_102080_2021-09-12_final
2021-09-12 09:31:24	ga_ls7e_ard_3-2-0_102082_2021-09-12_final
2021-09-29 08:33:27	ga_ls7e_ard_3-2-0_093080_2021-09-28_final
2021-10-19 09:46:15	ga_ls7e_ard_3-2-0_105081_2021-10-19_final
2021-11-12 08:55:22	ga_ls7e_ard_3-2-0_097083_2021-11-11_final
2021-11-18 08:19:42	ga_ls7e_ard_3-2-1_091088_2021-11-17_final
2021-11-23 08:36:32	ga_ls7e_ard_3-2-1_094085_2021-11-22_final
2021-11-23 08:36:56	ga_ls7e_ard_3-2-1_094086_2021-11-22_final
2021-12-02 08:30:43	ga_ls7e_ard_3-2-1_093088_2021-12-01_final
2021-12-20 08:17:27	ga_ls7e_ard_3-2-1_091090_2021-12-19_final
2021-12-22 08:02:30	ga_ls7e_ard_3-2-1_089084_2021-12-21_final
2021-12-22 09:40:10	ga_ls7e_ard_3-2-1_105081_2021-12-22_final
2022-01-14 09:44:54	ga_ls7e_ard_3-2-1_106083_2022-01-14_final
2022-01-24 08:41:20	ga_ls7e_ard_3-2-1_096081_2022-01-23_final
2022-01-24 08:42:08	ga_ls7e_ard_3-2-1_096083_2022-01-23_final
2022-01-28 08:19:25	ga_ls7e_ard_3-2-1_092089_2022-01-27_final
2022-01-28 09:53:07	ga_ls7e_ard_3-2-1_108076_2022-01-28_final
2022-01-31 08:43:38	ga_ls7e_ard_3-2-1_097073_2022-01-30_final
2022-02-01 09:26:48	ga_ls7e_ard_3-2-1_104073_2022-01-31_final
2022-02-11 10:04:27	ga_ls7e_ard_3-2-1_110077_2022-02-11_final
2022-02-11 10:04:51	ga_ls7e_ard_3-2-1_110078_2022-02-11_final
2022-02-20 08:18:30	ga_ls7e_ard_3-2-1_093077_2022-02-19_final
2022-03-01 08:15:03	ga_ls7e_ard_3-2-1_092086_2022-02-28_final
2022-03-03 07:59:18	ga_ls7e_ard_3-2-1_090078_2022-03-02_final
2022-03-03 09:38:10	ga_ls7e_ard_3-2-1_106078_2022-03-03_final
2022-03-03 09:39:46	ga_ls7e_ard_3-2-1_106082_2022-03-03_final
2022-03-05 09:27:13	ga_ls7e_ard_3-2-1_104082_2022-03-04_final
2022-03-06 10:06:23	ga_ls7e_ard_3-2-1_111072_2022-03-06_final
2022-03-19 08:00:05	ga_ls7e_ard_3-2-1_090084_2022-03-18_final
2022-03-20 08:37:16	ga_ls7e_ard_3-2-1_097069_2022-03-19_final
2022-03-22 10:09:11	ga_ls7e_ard_3-2-1_111083_2022-03-22_final
2022-03-28 07:52:16	ga_ls7e_ard_3-2-1_089082_2022-03-27_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years