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
2001-10-02 11:40:18	ga_ls7e_ard_3-0-0_115077_2001-10-02_final
2001-12-21 11:41:29	ga_ls7e_ard_3-0-0_115079_2001-12-21_final
2002-01-06 11:40:42	ga_ls7e_ard_3-0-0_115077_2002-01-06_final
2002-07-17 11:40:20	ga_ls7e_ard_3-0-0_115077_2002-07-17_final
2002-11-06 11:39:53	ga_ls7e_ard_3-1-0_115077_2002-11-06_final
2003-08-30 11:34:58	ga_ls7e_ard_3-0-0_114079_2003-08-30_final
2003-10-24 11:39:57	ga_ls7e_ard_3-0-0_115076_2003-10-24_final
2003-12-11 11:40:21	ga_ls7e_ard_3-0-0_115076_2003-12-11_final
2004-09-24 11:40:13	ga_ls7e_ard_3-0-0_115076_2004-09-24_final
2005-01-07 11:36:24	ga_ls7e_ard_3-0-0_114080_2005-01-07_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2005-09-27 11:41:52	ga_ls7e_ard_3-0-0_115079_2005-09-27_final
2006-02-02 11:40:49	ga_ls7e_ard_3-0-0_115074_2006-02-02_final
2006-07-05 11:37:18	ga_ls7e_ard_3-0-0_114081_2006-07-05_final
2006-09-07 11:36:36	ga_ls7e_ard_3-0-0_114080_2006-09-07_final
2007-03-09 11:41:43	ga_ls7e_ard_3-0-0_115075_2007-03-09_final
2009-06-02 11:42:03	ga_ls7e_ard_3-0-0_115076_2009-06-02_final
2009-07-20 11:41:06	ga_ls7e_ard_3-0-0_115074_2009-07-20_final
2010-03-10 11:39:31	ga_ls7e_ard_3-0-0_114081_2010-03-10_final
2011-03-29 11:40:37	ga_ls7e_ard_3-0-0_114080_2011-03-29_final
2011-05-23 11:44:23	ga_ls7e_ard_3-0-0_115074_2011-05-23_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-03-15 11:39:32	ga_ls7e_ard_3-0-0_114076_2012-03-15_final
2012-06-03 11:41:24	ga_ls7e_ard_3-0-0_114080_2012-06-03_final
2012-11-17 11:46:46	ga_ls7e_ard_3-0-0_115074_2012-11-17_final
2013-06-29 11:47:57	ga_ls7e_ard_3-0-0_115078_2013-06-29_final
2013-07-08 11:42:51	ga_ls7e_ard_3-0-0_114081_2013-07-08_final
2015-09-07 11:51:29	ga_ls7e_ard_3-0-0_115076_2015-09-07_final
2015-12-28 11:52:32	ga_ls7e_ard_3-0-0_115075_2015-12-28_final
2016-05-29 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-05-29_final
2016-10-04 11:48:59	ga_ls7e_ard_3-0-0_114078_2016-10-04_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2020-02-18 11:25:29	ga_ls7e_ard_3-1-0_114080_2020-02-18_final
2020-11-21 09:48:57	ga_ls7e_ard_3-1-0_101082_2020-11-21_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-12-09 09:30:54	ga_ls7e_ard_3-1-0_099071_2020-12-09_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2020-12-11 11:02:03	ga_ls7e_ard_3-1-0_113083_2020-12-11_final
2020-12-17 10:21:43	ga_ls7e_ard_3-1-0_107076_2020-12-17_final
2020-12-18 09:28:01	ga_ls7e_ard_3-1-0_098081_2020-12-17_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2020-12-26 08:41:35	ga_ls7e_ard_3-1-0_090090_2020-12-25_final
2020-12-27 09:21:11	ga_ls7e_ard_3-1-0_097081_2020-12-26_final
2021-01-04 10:08:29	ga_ls7e_ard_3-1-0_105077_2021-01-04_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-12 10:53:22	ga_ls7e_ard_3-1-0_113067_2021-01-12_final
2021-01-14 10:46:03	ga_ls7e_ard_3-1-0_111080_2021-01-14_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-01-21 10:49:20	ga_ls7e_ard_3-2-0_112074_2021-01-21_final
2021-01-21 10:53:20	ga_ls7e_ard_3-2-0_112084_2021-01-21_final
2021-01-27 10:13:01	ga_ls7e_ard_3-2-0_106077_2021-01-27_final
2021-01-31 09:44:25	ga_ls7e_ard_3-2-0_102068_2021-01-31_final
2021-02-03 08:41:01	ga_ls7e_ard_3-2-0_091080_2021-02-02_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-12 08:33:46	ga_ls7e_ard_3-2-0_090079_2021-02-11_final
2021-02-15 09:04:50	ga_ls7e_ard_3-2-0_095080_2021-02-14_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-02-27 09:28:38	ga_ls7e_ard_3-2-0_099080_2021-02-26_final
2021-02-28 10:07:50	ga_ls7e_ard_3-2-0_106070_2021-02-28_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-01 10:56:36	ga_ls7e_ard_3-2-0_113084_2021-03-01_final
2021-03-13 09:37:07	ga_ls7e_ard_3-2-0_101073_2021-03-13_final
2021-03-24 09:21:41	ga_ls7e_ard_3-2-0_098083_2021-03-23_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-05-08 08:47:26	ga_ls7e_ard_3-2-0_093084_2021-05-07_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-05-28 09:59:29	ga_ls7e_ard_3-2-0_105083_2021-05-28_final
2021-06-11 08:32:13	ga_ls7e_ard_3-2-0_091084_2021-06-10_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-17 08:52:11	ga_ls7e_ard_3-2-0_096071_2021-08-16_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-08-30 10:00:14	ga_ls7e_ard_3-2-0_107074_2021-08-30_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-13 10:11:46	ga_ls7e_ard_3-2-0_109075_2021-09-13_final
2021-09-16 10:43:12	ga_ls7e_ard_3-2-0_114077_2021-09-16_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-10-04 10:31:14	ga_ls7e_ard_3-2-0_112082_2021-10-04_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-11-04 09:41:59	ga_ls7e_ard_3-2-0_105074_2021-11-04_final
2021-11-13 09:36:56	ga_ls7e_ard_3-2-1_104079_2021-11-13_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-12-02 10:07:12	ga_ls7e_ard_3-2-1_109082_2021-12-02_final
2021-12-13 08:08:21	ga_ls7e_ard_3-2-1_090081_2021-12-12_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-12 09:55:27	ga_ls7e_ard_3-2-1_108078_2022-01-12_final
2022-01-13 08:55:45	ga_ls7e_ard_3-2-1_099068_2022-01-12_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_final
2022-01-22 10:30:23	ga_ls7e_ard_3-2-1_114075_2022-01-22_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-12 07:55:01	ga_ls7e_ard_3-2-1_089085_2022-03-11_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