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
1999-07-09 11:43:59	ga_ls7e_ard_3-0-0_115075_1999-07-09_final
2000-01-20 09:00:19	ga_ls7e_ard_3-0-0_088083_2000-01-19_final
2001-03-12 09:40:43	ga_ls7e_ard_3-0-0_095082_2001-03-12_final
2001-11-07 09:34:48	ga_ls7e_ard_3-0-0_095072_2001-11-07_final
2001-11-23 09:35:45	ga_ls7e_ard_3-0-0_095074_2001-11-23_final
2002-02-27 09:35:22	ga_ls7e_ard_3-0-0_095072_2002-02-27_final
2002-07-01 11:40:26	ga_ls7e_ard_3-1-0_115077_2002-07-01_final
2003-02-14 09:38:17	ga_ls7e_ard_3-0-0_095080_2003-02-14_final
2003-03-18 09:35:55	ga_ls7e_ard_3-0-0_095074_2003-03-18_final
2003-04-24 11:35:21	ga_ls7e_ard_3-0-0_114079_2003-04-24_final
2003-05-21 09:40:15	ga_ls7e_ard_3-0-0_095085_2003-05-21_final
2003-09-22 11:39:00	ga_ls7e_ard_3-0-0_115074_2003-09-22_final
2004-02-06 11:35:43	ga_ls7e_ard_3-0-0_114079_2004-02-06_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2005-04-20 11:41:08	ga_ls7e_ard_3-0-0_115076_2005-04-20_final
2005-05-26 09:39:35	ga_ls7e_ard_3-0-0_095081_2005-05-26_final
2006-11-17 11:41:57	ga_ls7e_ard_3-1-0_115077_2006-11-17_final
2008-02-24 11:42:14	ga_ls7e_ard_3-0-0_115077_2008-02-24_final
2008-09-12 11:35:10	ga_ls7e_ard_3-0-0_114078_2008-09-12_final
2009-04-03 09:41:28	ga_ls7e_ard_3-0-0_095084_2009-04-03_final
2009-04-19 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-04-19_final
2009-07-04 11:41:35	ga_ls7e_ard_3-0-0_115075_2009-07-04_final
2011-04-14 11:39:50	ga_ls7e_ard_3-0-0_114078_2011-04-14_final
2011-04-25 09:45:36	ga_ls7e_ard_3-0-0_095086_2011-04-25_final
2011-05-27 09:43:59	ga_ls7e_ard_3-0-0_095082_2011-05-27_final
2011-06-28 09:45:55	ga_ls7e_ard_3-0-0_095087_2011-06-28_final
2011-09-16 09:43:40	ga_ls7e_ard_3-0-0_095082_2011-09-16_final
2012-04-23 11:45:26	ga_ls7e_ard_3-0-0_115075_2012-04-23_final
2012-05-13 09:41:55	ga_ls7e_ard_3-0-0_095074_2012-05-13_final
2012-09-07 11:42:48	ga_ls7e_ard_3-0-0_114081_2012-09-07_final
2013-01-08 09:46:57	ga_ls7e_ard_3-0-0_095083_2013-01-08_final
2013-07-19 09:44:57	ga_ls7e_ard_3-0-0_095080_2013-07-19_final
2013-12-10 09:43:33	ga_ls7e_ard_3-0-0_095074_2013-12-10_final
2015-01-26 11:49:49	ga_ls7e_ard_3-0-0_115075_2015-01-26_final
2015-10-29 09:52:24	ga_ls7e_ard_3-0-0_095086_2015-10-29_final
2015-12-16 09:47:59	ga_ls7e_ard_3-1-0_095073_2015-12-16_final
2015-12-16 09:50:23	ga_ls7e_ard_3-1-0_095079_2015-12-16_final
2015-12-28 11:52:08	ga_ls7e_ard_3-0-0_115074_2015-12-28_final
2016-04-06 09:49:46	ga_ls7e_ard_3-0-0_095075_2016-04-06_final
2016-04-06 09:52:34	ga_ls7e_ard_3-0-0_095082_2016-04-06_final
2016-08-28 09:54:40	ga_ls7e_ard_3-0-0_095086_2016-08-28_final
2017-01-19 09:53:41	ga_ls7e_ard_3-0-0_095085_2017-01-19_final
2017-02-20 09:52:24	ga_ls7e_ard_3-0-0_095082_2017-02-20_final
2017-05-16 11:49:31	ga_ls7e_ard_3-0-0_114080_2017-05-16_final
2017-08-31 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-08-31_final
2017-12-21 09:52:18	ga_ls7e_ard_3-0-0_095081_2017-12-21_final
2018-03-27 09:52:14	ga_ls7e_ard_3-0-0_095084_2018-03-27_final
2018-04-12 09:47:12	ga_ls7e_ard_3-0-0_095072_2018-04-12_final
2018-05-10 11:51:54	ga_ls7e_ard_3-0-0_115076_2018-05-10_final
2018-07-01 09:43:48	ga_ls7e_ard_3-0-0_095067_2018-07-01_final
2018-07-17 09:48:41	ga_ls7e_ard_3-0-0_095080_2018-07-17_final
2018-07-29 11:50:53	ga_ls7e_ard_3-0-0_115077_2018-07-29_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2020-02-13 09:25:56	ga_ls7e_ard_3-1-0_095074_2020-02-12_final
2020-09-08 09:18:23	ga_ls7e_ard_3-1-0_095086_2020-09-07_final
2021-02-07 09:54:52	ga_ls7e_ard_3-2-0_103080_2021-02-07_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-04-01 08:29:59	ga_ls7e_ard_3-2-0_090079_2021-03-31_final
2021-04-17 10:05:33	ga_ls7e_ard_3-2-0_106074_2021-04-17_final
2021-04-29 08:50:46	ga_ls7e_ard_3-2-0_094075_2021-04-28_final
2021-06-14 08:58:29	ga_ls7e_ard_3-2-0_096073_2021-06-13_final
2021-06-18 08:37:01	ga_ls7e_ard_3-2-0_092082_2021-06-17_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-08-01 08:54:24	ga_ls7e_ard_3-2-0_096073_2021-07-31_final
2021-08-07 09:55:16	ga_ls7e_ard_3-2-0_106072_2021-08-07_final
2021-08-13 09:20:27	ga_ls7e_ard_3-2-0_100079_2021-08-12_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-08-21 10:06:48	ga_ls7e_ard_3-2-0_108073_2021-08-21_final
2021-08-23 09:55:28	ga_ls7e_ard_3-2-0_106076_2021-08-23_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-09-24 09:51:51	ga_ls7e_ard_3-2-0_106074_2021-09-24_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-02 10:40:59	ga_ls7e_ard_3-2-0_114075_2021-10-02_final
2021-10-03 09:48:04	ga_ls7e_ard_3-2-0_105082_2021-10-03_final
2021-10-08 08:26:53	ga_ls7e_ard_3-2-0_092081_2021-10-07_final
2021-10-31 10:05:53	ga_ls7e_ard_3-2-0_109071_2021-10-31_final
2021-11-02 09:56:07	ga_ls7e_ard_3-2-0_107078_2021-11-02_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-14 08:38:49	ga_ls7e_ard_3-2-1_095073_2021-11-13_final
2021-11-22 09:29:04	ga_ls7e_ard_3-2-1_103077_2021-11-21_final
2021-11-26 10:42:51	ga_ls7e_ard_3-2-1_115077_2021-11-26_final
2021-11-29 09:33:23	ga_ls7e_ard_3-2-1_104074_2021-11-29_final
2021-12-07 10:22:53	ga_ls7e_ard_3-2-1_112076_2021-12-07_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2021-12-25 10:11:10	ga_ls7e_ard_3-2-1_110082_2021-12-25_final
2021-12-30 08:46:44	ga_ls7e_ard_3-2-1_097073_2021-12-29_final
2022-01-06 08:54:36	ga_ls7e_ard_3-2-1_098079_2022-01-05_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-10 08:28:43	ga_ls7e_ard_3-2-1_094077_2022-01-09_final
2022-01-21 08:09:56	ga_ls7e_ard_3-2-1_091079_2022-01-20_final
2022-01-28 09:54:18	ga_ls7e_ard_3-2-1_108079_2022-01-28_final
2022-01-31 08:48:02	ga_ls7e_ard_3-2-1_097084_2022-01-30_final
2022-02-05 09:06:04	ga_ls7e_ard_3-2-1_100084_2022-02-04_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_final
2022-03-20 08:41:16	ga_ls7e_ard_3-2-1_097079_2022-03-19_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