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
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2000-11-29 11:09:29	ga_ls7e_ard_3-1-0_110072_2000-11-29_final
2002-10-18 09:25:59	ga_ls7e_ard_3-1-0_094067_2002-10-17_final
2002-11-19 09:26:17	ga_ls7e_ard_3-1-0_094067_2002-11-18_final
2003-08-11 11:04:55	ga_ls7e_ard_3-1-0_109081_2003-08-11_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2004-09-15 10:05:32	ga_ls7e_ard_3-1-0_100071_2004-09-15_final
2005-10-26 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-10-26_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2008-07-14 11:08:31	ga_ls7e_ard_3-1-0_110072_2008-07-14_final
2008-12-28 09:36:24	ga_ls7e_ard_3-1-0_095073_2008-12-28_final
2009-07-21 10:45:53	ga_ls7e_ard_3-1-0_106075_2009-07-21_final
2010-02-15 09:52:16	ga_ls7e_ard_3-1-0_097076_2010-02-15_final
2010-03-30 11:11:18	ga_ls7e_ard_3-1-0_110072_2010-03-30_final
2010-09-22 11:11:23	ga_ls7e_ard_3-1-0_110072_2010-09-22_final
2010-12-18 11:22:19	ga_ls7e_ard_3-1-0_111082_2010-12-18_final
2011-01-08 10:01:22	ga_ls7e_ard_3-1-0_098080_2011-01-08_final
2011-03-14 09:09:40	ga_ls7e_ard_3-1-0_089089_2011-03-13_final
2011-11-12 09:31:46	ga_ls7e_ard_3-1-0_094067_2011-11-12_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2014-09-08 11:26:56	ga_ls7e_ard_3-1-0_111082_2014-09-08_final
2014-09-17 11:16:47	ga_ls7e_ard_3-1-0_110072_2014-09-17_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2015-07-02 11:18:45	ga_ls7e_ard_3-1-0_110072_2015-07-02_final
2015-09-20 09:38:11	ga_ls7e_ard_3-1-0_094067_2015-09-20_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2016-04-24 09:42:22	ga_ls7e_ard_3-1-0_093087_2016-04-24_final
2016-12-17 10:43:39	ga_ls7e_ard_3-1-0_104070_2016-12-17_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-26 11:18:47	ga_ls7e_ard_3-1-0_111072_2019-02-26_final
2019-02-28 11:07:57	ga_ls7e_ard_3-1-0_109076_2019-02-28_final
2019-03-14 11:18:16	ga_ls7e_ard_3-1-0_111072_2019-03-14_final
2019-03-24 10:20:32	ga_ls7e_ard_3-1-0_101083_2019-03-24_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-08-31 10:12:01	ga_ls7e_ard_3-1-0_101077_2019-08-31_final
2019-09-06 11:11:34	ga_ls7e_ard_3-1-0_111072_2019-09-06_final
2019-09-21 10:31:38	ga_ls7e_ard_3-1-0_104082_2019-09-21_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2019-09-22 11:11:39	ga_ls7e_ard_3-1-0_111074_2019-09-22_final
2019-10-01 11:04:42	ga_ls7e_ard_3-1-0_110073_2019-10-01_final
2019-10-01 11:05:54	ga_ls7e_ard_3-1-0_110076_2019-10-01_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-11-06 10:36:26	ga_ls7e_ard_3-1-0_106068_2019-11-06_final
2019-12-08 10:35:43	ga_ls7e_ard_3-1-0_106070_2019-12-08_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2019-12-23 09:56:05	ga_ls7e_ard_3-1-0_099081_2019-12-23_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-25 09:42:49	ga_ls7e_ard_3-1-0_097079_2019-12-25_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2020-01-24 09:48:53	ga_ls7e_ard_3-1-0_099067_2020-01-24_final
2020-02-18 09:41:25	ga_ls7e_ard_3-1-0_098067_2020-02-18_final
2020-02-26 10:32:50	ga_ls7e_ard_3-1-0_106073_2020-02-26_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-08-11 08:56:40	ga_ls7e_ard_3-1-0_091089_2020-08-10_final
2020-08-18 10:35:18	ga_ls7e_ard_3-1-0_108074_2020-08-18_final
2020-08-19 09:38:25	ga_ls7e_ard_3-1-0_099071_2020-08-19_final
2020-09-07 10:06:53	ga_ls7e_ard_3-1-0_104068_2020-09-07_final
2020-09-13 11:10:40	ga_ls7e_ard_3-1-0_114074_2020-09-13_final
2020-09-17 09:04:01	ga_ls7e_ard_3-1-0_094067_2020-09-16_final
2020-09-24 10:50:36	ga_ls7e_ard_3-1-0_111072_2020-09-24_final
2020-10-03 10:48:39	ga_ls7e_ard_3-1-0_110084_2020-10-03_final
2020-10-08 11:02:53	ga_ls7e_ard_3-1-0_113074_2020-10-08_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2020-12-18 09:22:50	ga_ls7e_ard_3-1-0_098068_2020-12-17_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2020-12-26 10:12:53	ga_ls7e_ard_3-1-0_106071_2020-12-26_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-01-28 10:55:01	ga_ls7e_ard_3-2-0_113074_2021-01-28_final
2021-02-05 10:06:35	ga_ls7e_ard_3-2-0_105078_2021-02-05_final
2021-02-10 08:45:04	ga_ls7e_ard_3-2-0_092076_2021-02-09_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-17 10:51:21	ga_ls7e_ard_3-2-0_113074_2021-03-17_final
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-17 08:36:54	ga_ls7e_ard_3-2-0_092075_2021-05-16_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-30 10:36:26	ga_ls7e_ard_3-2-0_112074_2021-06-30_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-10 09:36:59	ga_ls7e_ard_3-2-0_102082_2021-07-10_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_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