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
2001-06-12 11:41:13	ga_ls7e_ard_3-0-0_115076_2001-06-12_final
2002-01-31 11:36:13	ga_ls7e_ard_3-0-0_114081_2002-01-31_final
2003-01-18 11:35:53	ga_ls7e_ard_3-0-0_114081_2003-01-18_final
2004-09-24 11:40:13	ga_ls7e_ard_3-0-0_115076_2004-09-24_final
2005-06-07 11:41:55	ga_ls7e_ard_3-0-0_115078_2005-06-07_final
2005-10-06 11:34:02	ga_ls7e_ard_3-0-0_114075_2005-10-06_final
2006-02-11 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-02-11_final
2007-04-19 11:37:31	ga_ls7e_ard_3-0-0_114080_2007-04-19_final
2007-06-29 11:41:03	ga_ls7e_ard_3-0-0_115074_2007-06-29_final
2008-01-23 11:41:09	ga_ls7e_ard_3-0-0_115074_2008-01-23_final
2008-10-30 11:35:56	ga_ls7e_ard_3-0-0_114080_2008-10-30_final
2009-04-24 11:37:24	ga_ls7e_ard_3-0-0_114080_2009-04-24_final
2009-09-06 11:42:34	ga_ls7e_ard_3-0-0_115078_2009-09-06_final
2009-12-04 11:32:40	ga_ls7e_ard_3-0-0_114067_2009-12-04_final
2009-12-27 11:42:25	ga_ls7e_ard_3-0-0_115075_2009-12-27_final
2010-06-21 11:44:34	ga_ls7e_ard_3-0-0_115078_2010-06-21_final
2012-03-22 11:45:20	ga_ls7e_ard_3-0-0_115075_2012-03-22_final
2012-12-28 11:43:11	ga_ls7e_ard_3-0-0_114080_2012-12-28_final
2013-01-20 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-20_final
2013-10-19 11:48:26	ga_ls7e_ard_3-0-0_115078_2013-10-19_final
2014-01-23 11:47:32	ga_ls7e_ard_3-0-0_115074_2014-01-23_final
2014-03-21 11:38:45	ga_ls7e_ard_3-0-0_114067_2014-03-21_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2015-03-08 11:43:31	ga_ls7e_ard_3-0-0_114074_2015-03-08_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2016-09-25 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-09-25_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2020-05-08 11:21:22	ga_ls7e_ard_3-1-0_114081_2020-05-08_final
2020-11-23 09:34:27	ga_ls7e_ard_3-1-0_099077_2020-11-23_final
2020-11-29 10:34:38	ga_ls7e_ard_3-1-0_109074_2020-11-29_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2020-12-04 10:56:24	ga_ls7e_ard_3-1-0_112083_2020-12-04_final
2020-12-08 08:50:06	ga_ls7e_ard_3-1-0_092077_2020-12-07_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2021-01-02 08:42:06	ga_ls7e_ard_3-1-0_091077_2021-01-01_final
2021-01-02 08:44:06	ga_ls7e_ard_3-1-0_091082_2021-01-01_final
2021-01-03 11:03:22	ga_ls7e_ard_3-1-0_114075_2021-01-03_final
2021-01-16 10:30:22	ga_ls7e_ard_3-1-0_109072_2021-01-16_final
2021-02-05 08:28:06	ga_ls7e_ard_3-2-0_089079_2021-02-04_final
2021-02-11 09:25:04	ga_ls7e_ard_3-2-0_099068_2021-02-10_final
2021-02-17 10:29:36	ga_ls7e_ard_3-2-0_109076_2021-02-17_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-02-24 10:34:03	ga_ls7e_ard_3-2-0_110073_2021-02-24_final
2021-02-28 10:07:26	ga_ls7e_ard_3-2-0_106069_2021-02-28_final
2021-03-12 08:53:56	ga_ls7e_ard_3-2-0_094073_2021-03-11_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-04-16 09:20:46	ga_ls7e_ard_3-2-0_099070_2021-04-15_final
2021-04-26 09:59:00	ga_ls7e_ard_3-2-0_105075_2021-04-26_final
2021-04-28 09:44:28	ga_ls7e_ard_3-2-0_103070_2021-04-28_final
2021-05-02 09:19:49	ga_ls7e_ard_3-2-0_099071_2021-05-01_final
2021-05-26 08:34:20	ga_ls7e_ard_3-2-0_091086_2021-05-25_final
2021-05-31 08:44:52	ga_ls7e_ard_3-2-0_094067_2021-05-30_final
2021-06-02 08:39:07	ga_ls7e_ard_3-2-0_092084_2021-06-01_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-13 09:56:58	ga_ls7e_ard_3-2-0_105080_2021-06-13_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-22 09:58:16	ga_ls7e_ard_3-2-0_106076_2021-07-22_final
2021-07-28 09:18:41	ga_ls7e_ard_3-2-0_100071_2021-07-27_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-03 10:20:45	ga_ls7e_ard_3-2-0_110073_2021-08-03_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-21 08:28:43	ga_ls7e_ard_3-2-0_092075_2021-08-20_final
2021-09-08 09:50:53	ga_ls7e_ard_3-2-0_106068_2021-09-08_final
2021-09-13 10:11:23	ga_ls7e_ard_3-2-0_109074_2021-09-13_final
2021-10-13 10:19:53	ga_ls7e_ard_3-2-0_111071_2021-10-13_final
2021-10-21 09:30:07	ga_ls7e_ard_3-2-0_103072_2021-10-21_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-11-19 08:54:28	ga_ls7e_ard_3-2-1_098067_2021-11-18_final
2021-11-21 10:27:34	ga_ls7e_ard_3-2-1_112084_2021-11-21_final
2021-11-22 09:27:04	ga_ls7e_ard_3-2-1_103072_2021-11-21_final
2021-11-25 09:58:05	ga_ls7e_ard_3-2-1_108073_2021-11-25_final
2021-11-25 09:58:29	ga_ls7e_ard_3-2-1_108074_2021-11-25_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-09 10:13:07	ga_ls7e_ard_3-2-1_110083_2021-12-09_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2022-01-01 10:12:39	ga_ls7e_ard_3-2-1_111072_2022-01-01_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-01-26 10:04:52	ga_ls7e_ard_3-2-1_110074_2022-01-26_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-05 09:05:40	ga_ls7e_ard_3-2-1_100083_2022-02-04_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-11 10:01:39	ga_ls7e_ard_3-2-1_110070_2022-02-11_final
2022-02-18 08:29:03	ga_ls7e_ard_3-2-1_095072_2022-02-17_final
2022-02-23 08:46:43	ga_ls7e_ard_3-2-1_098071_2022-02-22_final
2022-03-10 09:46:03	ga_ls7e_ard_3-2-1_107084_2022-03-10_final
2022-03-12 09:29:54	ga_ls7e_ard_3-2-1_105075_2022-03-11_final
2022-03-20 08:37:40	ga_ls7e_ard_3-2-1_097070_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years