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
2000-11-19 10:31:33	ga_ls7e_ard_3-1-0_104070_2000-11-19_final
2000-12-21 10:31:39	ga_ls7e_ard_3-1-0_104070_2000-12-21_final
2001-01-23 11:19:48	ga_ls7e_ard_3-1-0_111082_2001-01-23_final
2001-07-01 10:30:35	ga_ls7e_ard_3-1-0_104070_2001-07-01_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2002-04-29 09:09:31	ga_ls7e_ard_3-1-0_090085_2002-04-28_final
2003-01-22 09:26:43	ga_ls7e_ard_3-1-0_094067_2003-01-21_final
2003-11-16 10:09:29	ga_ls7e_ard_3-1-0_100081_2003-11-16_final
2004-04-04 10:30:29	ga_ls7e_ard_3-1-0_104070_2004-04-04_final
2004-10-07 09:29:55	ga_ls7e_ard_3-1-0_094075_2004-10-06_final
2005-01-29 10:55:46	ga_ls7e_ard_3-1-0_108071_2005-01-29_final
2005-03-01 10:14:21	ga_ls7e_ard_3-1-0_101075_2005-03-01_final
2006-11-08 10:10:44	ga_ls7e_ard_3-1-0_100081_2006-11-08_final
2007-07-25 10:41:33	ga_ls7e_ard_3-1-0_105080_2007-07-25_final
2007-11-08 09:39:15	ga_ls7e_ard_3-1-0_095079_2007-11-08_final
2008-08-18 11:41:09	ga_ls7e_ard_3-1-0_115077_2008-08-18_final
2009-07-23 10:31:31	ga_ls7e_ard_3-1-0_104070_2009-07-23_final
2009-10-03 11:26:22	ga_ls7e_ard_3-1-0_112084_2009-10-03_final
2009-11-24 10:58:40	ga_ls7e_ard_3-1-0_108075_2009-11-24_final
2010-11-10 10:17:20	ga_ls7e_ard_3-1-0_101075_2010-11-10_final
2012-07-02 11:11:06	ga_ls7e_ard_3-1-0_109081_2012-07-02_final
2012-10-09 10:02:11	ga_ls7e_ard_3-1-0_098076_2012-10-09_final
2013-09-17 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-09-17_final
2013-12-26 09:43:12	ga_ls7e_ard_3-1-0_095073_2013-12-26_final
2014-05-01 09:57:35	ga_ls7e_ard_3-1-0_097076_2014-05-01_final
2014-09-22 09:58:05	ga_ls7e_ard_3-1-0_097076_2014-09-22_final
2014-10-22 11:50:04	ga_ls7e_ard_3-1-0_115077_2014-10-22_final
2014-12-29 11:27:47	ga_ls7e_ard_3-1-0_111082_2014-12-29_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-07-25 09:46:33	ga_ls7e_ard_3-1-0_095073_2015-07-25_final
2016-01-26 09:46:22	ga_ls7e_ard_3-1-0_094083_2016-01-26_final
2016-08-17 10:10:45	ga_ls7e_ard_3-1-0_098080_2016-08-17_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-05-29 11:19:03	ga_ls7e_ard_3-1-0_109081_2017-05-29_final
2017-06-30 11:19:10	ga_ls7e_ard_3-1-0_109081_2017-06-30_final
2017-09-18 11:19:05	ga_ls7e_ard_3-1-0_109081_2017-09-18_final
2017-09-23 10:00:45	ga_ls7e_ard_3-1-0_096086_2017-09-23_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2018-06-01 11:16:28	ga_ls7e_ard_3-1-0_109081_2018-06-01_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2019-02-17 11:28:50	ga_ls7e_ard_3-1-0_112081_2019-02-17_final
2019-02-22 10:08:20	ga_ls7e_ard_3-1-0_099081_2019-02-22_final
2019-02-28 11:08:45	ga_ls7e_ard_3-1-0_109078_2019-02-28_final
2019-03-06 10:29:53	ga_ls7e_ard_3-1-0_103074_2019-03-06_final
2019-03-08 10:20:15	ga_ls7e_ard_3-1-0_101081_2019-03-08_final
2019-03-20 10:43:47	ga_ls7e_ard_3-1-0_105079_2019-03-20_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-07-27 11:24:15	ga_ls7e_ard_3-1-0_112084_2019-07-27_final
2019-08-28 09:37:16	ga_ls7e_ard_3-1-0_096067_2019-08-28_final
2019-08-31 10:13:37	ga_ls7e_ard_3-1-0_101081_2019-08-31_final
2019-09-06 11:13:58	ga_ls7e_ard_3-1-0_111078_2019-09-06_final
2019-09-12 10:33:49	ga_ls7e_ard_3-1-0_105071_2019-09-12_final
2019-09-22 11:12:03	ga_ls7e_ard_3-1-0_111075_2019-09-22_final
2019-09-24 11:00:24	ga_ls7e_ard_3-1-0_109077_2019-09-24_final
2019-10-01 11:06:18	ga_ls7e_ard_3-1-0_110077_2019-10-01_final
2019-10-03 09:16:58	ga_ls7e_ard_3-1-0_092082_2019-10-02_final
2019-10-06 11:27:25	ga_ls7e_ard_3-1-0_113084_2019-10-06_final
2019-10-15 09:37:12	ga_ls7e_ard_3-1-0_096072_2019-10-15_final
2019-10-31 09:36:06	ga_ls7e_ard_3-1-0_096071_2019-10-31_final
2019-11-02 11:05:44	ga_ls7e_ard_3-1-0_110079_2019-11-02_final
2019-11-07 11:22:27	ga_ls7e_ard_3-1-0_113075_2019-11-07_final
2019-11-09 11:10:24	ga_ls7e_ard_3-1-0_111076_2019-11-09_final
2019-11-14 09:48:38	ga_ls7e_ard_3-1-0_098073_2019-11-14_final
2019-11-14 11:30:18	ga_ls7e_ard_3-1-0_114080_2019-11-14_final
2019-11-19 10:08:32	ga_ls7e_ard_3-1-0_101077_2019-11-19_final
2019-11-20 09:15:39	ga_ls7e_ard_3-1-0_092084_2019-11-19_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-11-25 09:30:22	ga_ls7e_ard_3-1-0_095075_2019-11-25_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-11 11:10:27	ga_ls7e_ard_3-1-0_111080_2019-12-11_final
2019-12-18 09:36:36	ga_ls7e_ard_3-1-0_096078_2019-12-18_final
2019-12-22 09:11:17	ga_ls7e_ard_3-1-0_092077_2019-12-21_final
2019-12-24 09:00:25	ga_ls7e_ard_3-1-0_090081_2019-12-23_final
2019-12-30 09:59:54	ga_ls7e_ard_3-1-0_100076_2019-12-30_final
2020-01-19 11:14:39	ga_ls7e_ard_3-1-0_112080_2020-01-19_final
2020-01-26 11:20:05	ga_ls7e_ard_3-1-0_113079_2020-01-26_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-27 09:37:57	ga_ls7e_ard_3-1-0_097075_2020-02-27_final
2020-04-06 09:42:23	ga_ls7e_ard_3-1-0_098076_2020-04-06_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-15 09:33:41	ga_ls7e_ard_3-1-0_097071_2020-04-15_final
2020-04-22 09:39:51	ga_ls7e_ard_3-1-0_098072_2020-04-22_final
2020-04-22 09:43:51	ga_ls7e_ard_3-1-0_098082_2020-04-22_final
2021-02-24 08:57:58	ga_ls7e_ard_3-2-0_094080_2021-02-23_final
2021-04-18 10:51:55	ga_ls7e_ard_3-2-0_113082_2021-04-18_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-28 09:46:04	ga_ls7e_ard_3-2-0_103074_2021-04-28_final
2021-06-05 09:09:23	ga_ls7e_ard_3-2-0_097083_2021-06-04_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-11 10:19:45	ga_ls7e_ard_3-2-0_109081_2021-07-11_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-16 08:58:11	ga_ls7e_ard_3-2-0_096079_2021-07-15_final
2021-07-25 08:52:50	ga_ls7e_ard_3-2-0_095083_2021-07-24_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-08-22 09:11:29	ga_ls7e_ard_3-2-0_099074_2021-08-21_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2022-03-21 09:21:14	ga_ls7e_ard_3-2-1_104071_2022-03-20_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_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