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
2000-03-18 09:37:12	ga_ls7e_ard_3-1-0_094083_2000-03-18_final
2001-01-10 10:11:22	ga_ls7e_ard_3-1-0_100081_2001-01-10_final
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2001-07-06 10:49:32	ga_ls7e_ard_3-1-0_107071_2001-07-06_final
2002-01-25 10:30:05	ga_ls7e_ard_3-1-0_104070_2002-01-25_final
2004-04-20 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-04-20_final
2004-04-30 09:30:11	ga_ls7e_ard_3-1-0_094074_2004-04-30_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2005-09-08 09:30:09	ga_ls7e_ard_3-1-0_094074_2005-09-08_final
2006-01-25 10:52:07	ga_ls7e_ard_3-1-0_107076_2006-01-25_final
2006-02-08 09:30:04	ga_ls7e_ard_3-1-0_093087_2006-02-08_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2007-02-27 09:30:31	ga_ls7e_ard_3-1-0_093087_2007-02-27_final
2007-03-28 10:31:46	ga_ls7e_ard_3-1-0_104070_2007-03-28_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-04-16 09:30:08	ga_ls7e_ard_3-1-0_093086_2007-04-16_final
2007-11-10 09:30:06	ga_ls7e_ard_3-1-0_093087_2007-11-10_final
2008-06-05 09:29:52	ga_ls7e_ard_3-1-0_093087_2008-06-04_final
2013-11-26 09:36:17	ga_ls7e_ard_3-1-0_093087_2013-11-26_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-11-14 10:19:09	ga_ls7e_ard_3-1-0_100081_2014-11-14_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2016-12-20 09:42:26	ga_ls7e_ard_3-1-0_093087_2016-12-20_final
2017-09-25 09:47:12	ga_ls7e_ard_3-1-0_094083_2017-09-25_final
2018-11-08 09:36:42	ga_ls7e_ard_3-1-0_093087_2018-11-08_final
2019-02-18 10:28:24	ga_ls7e_ard_3-1-0_103069_2019-02-18_final
2019-03-06 10:28:41	ga_ls7e_ard_3-1-0_103071_2019-03-06_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-03-22 10:28:34	ga_ls7e_ard_3-1-0_103072_2019-03-22_final
2019-03-26 10:03:43	ga_ls7e_ard_3-1-0_099072_2019-03-26_final
2019-06-27 09:30:12	ga_ls7e_ard_3-1-0_094074_2019-06-27_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-09 10:08:15	ga_ls7e_ard_3-1-0_100084_2019-09-09_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2019-09-25 10:07:08	ga_ls7e_ard_3-1-0_100083_2019-09-25_final
2019-09-26 10:49:09	ga_ls7e_ard_3-1-0_107080_2019-09-26_final
2019-10-10 09:23:39	ga_ls7e_ard_3-1-0_093084_2019-10-09_final
2019-10-16 10:21:13	ga_ls7e_ard_3-1-0_103074_2019-10-16_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-11-05 09:54:49	ga_ls7e_ard_3-1-0_099072_2019-11-05_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-12 10:00:17	ga_ls7e_ard_3-1-0_100071_2019-11-12_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-11-28 10:03:31	ga_ls7e_ard_3-1-0_100081_2019-11-28_final
2019-12-04 09:26:32	ga_ls7e_ard_3-1-0_094082_2019-12-03_final
2019-12-13 09:19:07	ga_ls7e_ard_3-1-0_093080_2019-12-12_final
2019-12-23 09:52:06	ga_ls7e_ard_3-1-0_099071_2019-12-23_final
2019-12-26 10:24:50	ga_ls7e_ard_3-1-0_104076_2019-12-26_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2020-01-05 09:24:30	ga_ls7e_ard_3-1-0_094081_2020-01-04_final
2020-01-11 10:22:48	ga_ls7e_ard_3-1-0_104073_2020-01-11_final
2020-01-20 10:16:11	ga_ls7e_ard_3-1-0_103073_2020-01-20_final
2020-01-24 09:53:40	ga_ls7e_ard_3-1-0_099079_2020-01-24_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-27 10:22:01	ga_ls7e_ard_3-1-0_104073_2020-01-27_final
2020-02-09 09:49:40	ga_ls7e_ard_3-1-0_099071_2020-02-09_final
2020-02-09 09:52:51	ga_ls7e_ard_3-1-0_099079_2020-02-09_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-15 10:22:17	ga_ls7e_ard_3-1-0_104080_2020-03-15_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-04 09:56:03	ga_ls7e_ard_3-1-0_100079_2020-04-04_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-13 09:45:46	ga_ls7e_ard_3-1-0_099070_2020-04-13_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2020-04-29 09:44:49	ga_ls7e_ard_3-1-0_099070_2020-04-29_final
2020-04-29 09:50:00	ga_ls7e_ard_3-1-0_099083_2020-04-29_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-15 08:24:01	ga_ls7e_ard_3-2-1_094081_2022-03-14_final
2022-03-15 09:59:18	ga_ls7e_ard_3-2-1_110072_2022-03-15_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-22 10:07:36	ga_ls7e_ard_3-2-1_111079_2022-03-22_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-25 08:59:44	ga_ls7e_ard_3-2-1_100080_2022-03-24_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-26 09:39:18	ga_ls7e_ard_3-2-1_107071_2022-03-26_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-02 09:46:25	ga_ls7e_ard_3-2-1_108075_2022-04-02_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_final
2022-04-05 08:40:08	ga_ls7e_ard_3-2-1_097080_2022-04-04_final
2022-04-05 10:16:37	ga_ls7e_ard_3-2-1_113074_2022-04-05_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