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
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
2000-02-06 11:22:02	ga_ls7e_ard_3-1-0_111082_2000-02-06_final
2000-05-21 09:30:16	ga_ls7e_ard_3-1-0_094067_2000-05-21_final
2000-08-29 09:11:37	ga_ls7e_ard_3-1-0_090085_2000-08-28_final
2000-11-19 10:31:33	ga_ls7e_ard_3-1-0_104070_2000-11-19_final
2000-12-04 09:50:41	ga_ls7e_ard_3-1-0_097076_2000-12-04_final
2001-04-29 11:19:21	ga_ls7e_ard_3-1-0_111082_2001-04-29_final
2001-07-01 10:30:35	ga_ls7e_ard_3-1-0_104070_2001-07-01_final
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2002-08-28 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-08-27_final
2004-04-21 11:18:23	ga_ls7e_ard_3-1-0_111082_2004-04-21_final
2004-07-25 10:30:08	ga_ls7e_ard_3-1-0_104070_2004-07-25_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2009-02-07 09:34:26	ga_ls7e_ard_3-1-0_094083_2009-02-07_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2010-06-03 10:16:49	ga_ls7e_ard_3-1-0_101075_2010-06-03_final
2011-01-05 09:31:39	ga_ls7e_ard_3-1-0_093083_2011-01-05_final
2011-05-23 11:45:35	ga_ls7e_ard_3-1-0_115077_2011-05-23_final
2011-05-29 11:10:07	ga_ls7e_ard_3-1-0_109081_2011-05-29_final
2012-03-15 10:02:15	ga_ls7e_ard_3-1-0_098080_2012-03-15_final
2012-08-03 11:11:30	ga_ls7e_ard_3-1-0_109081_2012-08-03_final
2012-10-16 11:47:45	ga_ls7e_ard_3-1-0_115077_2012-10-16_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-03-25 11:48:03	ga_ls7e_ard_3-1-0_115077_2013-03-25_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2013-07-13 10:20:05	ga_ls7e_ard_3-1-0_101075_2013-07-13_final
2014-07-06 11:26:48	ga_ls7e_ard_3-1-0_111082_2014-07-06_final
2014-12-15 11:15:00	ga_ls7e_ard_3-1-0_109081_2014-12-15_final
2015-01-14 11:27:51	ga_ls7e_ard_3-1-0_111082_2015-01-14_final
2015-03-03 11:28:09	ga_ls7e_ard_3-1-0_111082_2015-03-03_final
2015-07-09 11:28:59	ga_ls7e_ard_3-1-0_111082_2015-07-09_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2016-08-26 10:03:01	ga_ls7e_ard_3-1-0_097076_2016-08-26_final
2016-09-29 09:49:33	ga_ls7e_ard_3-1-0_095073_2016-09-29_final
2017-04-19 10:27:03	ga_ls7e_ard_3-1-0_101075_2017-04-19_final
2017-04-22 09:23:05	ga_ls7e_ard_3-1-0_090085_2017-04-21_final
2017-10-30 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-30_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2018-05-10 11:52:18	ga_ls7e_ard_3-1-0_115077_2018-05-10_final
2018-08-15 09:18:04	ga_ls7e_ard_3-1-0_090082_2018-08-14_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2018-11-03 10:53:10	ga_ls7e_ard_3-1-0_106077_2018-11-03_final
2019-02-04 10:18:50	ga_ls7e_ard_3-1-0_101075_2019-02-04_final
2019-02-20 10:17:10	ga_ls7e_ard_3-1-0_101072_2019-02-20_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-02-25 10:37:57	ga_ls7e_ard_3-1-0_104078_2019-02-25_final
2019-02-28 11:10:21	ga_ls7e_ard_3-1-0_109082_2019-02-28_final
2019-03-19 11:38:39	ga_ls7e_ard_3-1-0_114077_2019-03-19_final
2019-03-29 10:36:06	ga_ls7e_ard_3-1-0_104076_2019-03-29_final
2019-08-26 09:52:30	ga_ls7e_ard_3-1-0_098074_2019-08-26_final
2019-08-26 09:55:41	ga_ls7e_ard_3-1-0_098082_2019-08-26_final
2019-09-09 10:06:15	ga_ls7e_ard_3-1-0_100079_2019-09-09_final
2019-09-13 11:20:38	ga_ls7e_ard_3-1-0_112080_2019-09-13_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2019-09-22 11:12:03	ga_ls7e_ard_3-1-0_111075_2019-09-22_final
2019-09-27 09:54:17	ga_ls7e_ard_3-1-0_098082_2019-09-27_final
2019-09-27 11:31:35	ga_ls7e_ard_3-1-0_114078_2019-09-27_final
2019-10-01 11:06:18	ga_ls7e_ard_3-1-0_110077_2019-10-01_final
2019-10-18 10:10:46	ga_ls7e_ard_3-1-0_101079_2019-10-18_final
2019-10-19 09:16:42	ga_ls7e_ard_3-1-0_092083_2019-10-18_final
2019-10-25 10:15:51	ga_ls7e_ard_3-1-0_102077_2019-10-25_final
2019-10-26 10:59:04	ga_ls7e_ard_3-1-0_109077_2019-10-26_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-09 09:30:43	ga_ls7e_ard_3-1-0_095074_2019-11-09_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-11 10:59:32	ga_ls7e_ard_3-1-0_109080_2019-11-11_final
2019-11-15 08:56:57	ga_ls7e_ard_3-1-0_089083_2019-11-14_final
2019-12-02 11:17:29	ga_ls7e_ard_3-1-0_112081_2019-12-02_final
2019-12-08 09:00:50	ga_ls7e_ard_3-1-0_090080_2019-12-07_final
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2020-01-01 11:26:19	ga_ls7e_ard_3-1-0_114076_2020-01-01_final
2020-01-08 09:52:03	ga_ls7e_ard_3-1-0_099073_2020-01-08_final
2020-01-14 09:18:16	ga_ls7e_ard_3-1-0_093082_2020-01-13_final
2020-01-14 10:53:58	ga_ls7e_ard_3-1-0_109074_2020-01-14_final
2020-01-17 09:45:26	ga_ls7e_ard_3-1-0_098073_2020-01-17_final
2020-01-17 09:45:50	ga_ls7e_ard_3-1-0_098074_2020-01-17_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-02-11 09:39:12	ga_ls7e_ard_3-1-0_097076_2020-02-11_final
2020-02-11 11:17:41	ga_ls7e_ard_3-1-0_113075_2020-02-11_final
2020-03-09 11:00:06	ga_ls7e_ard_3-1-0_110081_2020-03-09_final
2020-03-11 09:09:33	ga_ls7e_ard_3-1-0_092083_2020-03-10_final
2020-03-16 09:24:37	ga_ls7e_ard_3-1-0_095075_2020-03-15_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-03-23 11:10:29	ga_ls7e_ard_3-1-0_112078_2020-03-23_final
2020-03-25 09:21:32	ga_ls7e_ard_3-1-0_094084_2020-03-24_final
2020-03-26 09:59:57	ga_ls7e_ard_3-1-0_101072_2020-03-26_final
2020-04-04 09:56:51	ga_ls7e_ard_3-1-0_100081_2020-04-04_final
2020-04-06 09:42:23	ga_ls7e_ard_3-1-0_098076_2020-04-06_final
2020-04-09 10:13:30	ga_ls7e_ard_3-1-0_103077_2020-04-09_final
2020-04-25 10:13:46	ga_ls7e_ard_3-1-0_103080_2020-04-25_final
2020-04-26 10:56:58	ga_ls7e_ard_3-1-0_110080_2020-04-26_final
2020-04-28 09:04:25	ga_ls7e_ard_3-1-0_092077_2020-04-27_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_final
2022-04-05 08:38:32	ga_ls7e_ard_3-2-1_097076_2022-04-04_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