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
2002-04-16 09:40:46	ga_ls7e_ard_3-0-0_095086_2002-04-16_final
2003-07-24 09:38:54	ga_ls7e_ard_3-0-0_095082_2003-07-24_final
2004-09-28 09:38:59	ga_ls7e_ard_3-0-0_095082_2004-09-28_final
2004-10-30 09:39:14	ga_ls7e_ard_3-0-0_095082_2004-10-30_final
2005-05-10 09:40:48	ga_ls7e_ard_3-0-0_095084_2005-05-10_final
2005-10-01 09:40:40	ga_ls7e_ard_3-0-0_095085_2005-10-01_final
2005-10-01 09:41:03	ga_ls7e_ard_3-0-0_095086_2005-10-01_final
2005-11-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2005-11-02_final
2005-12-04 09:41:11	ga_ls7e_ard_3-0-0_095085_2005-12-04_final
2006-02-06 09:41:13	ga_ls7e_ard_3-0-0_095084_2006-02-06_final
2006-12-07 09:40:31	ga_ls7e_ard_3-0-0_095082_2006-12-07_final
2007-01-24 09:40:40	ga_ls7e_ard_3-0-0_095082_2007-01-24_final
2007-02-25 09:42:04	ga_ls7e_ard_3-0-0_095085_2007-02-25_final
2007-05-16 09:41:09	ga_ls7e_ard_3-0-0_095083_2007-05-16_final
2007-06-01 09:40:39	ga_ls7e_ard_3-0-0_095082_2007-06-01_final
2008-09-23 09:39:37	ga_ls7e_ard_3-0-0_095083_2008-09-23_final
2008-09-23 09:41:13	ga_ls7e_ard_3-0-0_095087_2008-09-23_final
2009-11-13 09:40:35	ga_ls7e_ard_3-0-0_095081_2009-11-13_final
2010-12-02 09:42:31	ga_ls7e_ard_3-0-0_095080_2010-12-02_final
2011-04-25 09:45:36	ga_ls7e_ard_3-0-0_095086_2011-04-25_final
2012-12-23 09:47:44	ga_ls7e_ard_3-0-0_095085_2012-12-23_final
2016-12-02 09:53:18	ga_ls7e_ard_3-0-0_095083_2016-12-02_final
2017-07-14 09:54:15	ga_ls7e_ard_3-0-0_095085_2017-07-14_final
2017-12-21 09:52:42	ga_ls7e_ard_3-0-0_095082_2017-12-21_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-02-10 10:25:33	ga_ls7e_ard_3-2-0_108080_2021-02-10_final
2021-02-15 09:05:14	ga_ls7e_ard_3-2-0_095081_2021-02-14_final
2021-02-25 09:41:33	ga_ls7e_ard_3-2-0_101081_2021-02-25_final
2021-03-04 09:44:24	ga_ls7e_ard_3-2-0_102074_2021-03-04_final
2021-03-14 10:24:41	ga_ls7e_ard_3-2-0_108084_2021-03-14_final
2021-03-25 10:00:04	ga_ls7e_ard_3-2-0_105071_2021-03-25_final
2021-03-28 10:35:55	ga_ls7e_ard_3-2-0_110084_2021-03-28_final
2021-04-01 10:06:52	ga_ls7e_ard_3-2-0_106074_2021-04-01_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-09 09:17:58	ga_ls7e_ard_3-2-0_098077_2021-04-08_final
2021-04-10 08:24:16	ga_ls7e_ard_3-2-0_089082_2021-04-09_final
2021-04-20 10:40:11	ga_ls7e_ard_3-2-0_111084_2021-04-20_final
2021-04-25 09:15:01	ga_ls7e_ard_3-2-0_098073_2021-04-24_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-04-29 10:32:26	ga_ls7e_ard_3-2-0_110082_2021-04-29_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-11 09:16:29	ga_ls7e_ard_3-2-0_098080_2021-05-10_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-12 09:54:52	ga_ls7e_ard_3-2-0_105068_2021-05-12_final
2021-05-25 09:24:27	ga_ls7e_ard_3-2-0_100072_2021-05-24_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-06-04 10:04:41	ga_ls7e_ard_3-2-0_106082_2021-06-04_final
2021-06-07 10:29:21	ga_ls7e_ard_3-2-0_111067_2021-06-07_final
2021-06-13 08:19:17	ga_ls7e_ard_3-2-0_089083_2021-06-12_final
2021-06-19 10:56:41	ga_ls7e_ard_3-2-0_115076_2021-06-19_final
2021-06-20 09:59:23	ga_ls7e_ard_3-2-0_106072_2021-06-20_final
2021-06-21 09:08:28	ga_ls7e_ard_3-2-0_097084_2021-06-20_final
2021-07-06 09:58:51	ga_ls7e_ard_3-2-0_106074_2021-07-06_final
2021-07-09 08:55:00	ga_ls7e_ard_3-2-0_095085_2021-07-08_final
2021-07-15 09:55:06	ga_ls7e_ard_3-2-0_105082_2021-07-15_final
2021-07-19 09:25:38	ga_ls7e_ard_3-2-0_101071_2021-07-18_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-08-05 10:11:24	ga_ls7e_ard_3-2-0_108081_2021-08-05_final
2021-08-09 09:43:56	ga_ls7e_ard_3-2-0_104075_2021-08-09_final
2021-08-12 10:13:46	ga_ls7e_ard_3-2-0_109073_2021-08-12_final
2021-08-13 09:17:40	ga_ls7e_ard_3-2-0_100072_2021-08-12_final
2021-08-23 09:53:04	ga_ls7e_ard_3-2-0_106070_2021-08-23_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-09-02 08:56:00	ga_ls7e_ard_3-2-0_096084_2021-09-01_final
2021-09-09 08:56:46	ga_ls7e_ard_3-2-0_097072_2021-09-08_final
2021-09-15 10:02:50	ga_ls7e_ard_3-2-0_107084_2021-09-15_final
2021-09-16 10:43:12	ga_ls7e_ard_3-2-0_114077_2021-09-16_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-09-28 09:26:46	ga_ls7e_ard_3-2-0_102074_2021-09-27_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-10 08:15:33	ga_ls7e_ard_3-2-0_090084_2021-10-09_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-10-22 08:39:12	ga_ls7e_ard_3-2-0_094084_2021-10-21_final
2021-10-25 09:09:49	ga_ls7e_ard_3-2-0_099084_2021-10-24_final
2021-10-30 09:23:54	ga_ls7e_ard_3-2-0_102074_2021-10-29_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-10 10:45:12	ga_ls7e_ard_3-2-0_115079_2021-11-10_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-17 09:09:01	ga_ls7e_ard_3-2-1_100072_2021-11-16_final
2021-12-10 09:15:25	ga_ls7e_ard_3-2-1_101078_2021-12-09_final
2021-12-11 08:18:30	ga_ls7e_ard_3-2-1_092075_2021-12-10_final
2021-12-11 10:00:34	ga_ls7e_ard_3-2-1_108083_2021-12-11_final
2021-12-17 09:19:43	ga_ls7e_ard_3-2-1_102075_2021-12-16_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2021-12-24 09:23:13	ga_ls7e_ard_3-2-1_103070_2021-12-23_final
2021-12-25 10:07:35	ga_ls7e_ard_3-2-1_110073_2021-12-25_final
2021-12-30 08:46:44	ga_ls7e_ard_3-2-1_097073_2021-12-29_final
2022-01-02 09:15:44	ga_ls7e_ard_3-2-1_102069_2022-01-01_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-06 08:55:00	ga_ls7e_ard_3-2-1_098080_2022-01-05_final
2022-01-10 10:06:24	ga_ls7e_ard_3-2-1_110074_2022-01-10_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-01-19 10:02:58	ga_ls7e_ard_3-2-1_109083_2022-01-19_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-02-17 09:24:45	ga_ls7e_ard_3-2-1_104072_2022-02-16_final
2022-03-02 08:53:01	ga_ls7e_ard_3-2-1_099073_2022-03-01_final
2022-03-13 08:32:35	ga_ls7e_ard_3-2-1_096071_2022-03-12_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_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