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
2000-02-03 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-02-03_final
2000-09-28 10:58:23	ga_ls7e_ard_3-1-0_108075_2000-09-28_final
2001-06-10 10:14:19	ga_ls7e_ard_3-1-0_101075_2001-06-10_final
2001-06-18 11:06:03	ga_ls7e_ard_3-1-0_109081_2001-06-18_final
2002-01-09 10:29:59	ga_ls7e_ard_3-1-0_104070_2002-01-09_final
2002-02-04 09:27:04	ga_ls7e_ard_3-1-0_094067_2002-02-03_final
2002-04-06 09:01:42	ga_ls7e_ard_3-1-0_089081_2002-04-05_final
2003-01-08 10:59:03	ga_ls7e_ard_3-1-0_108082_2003-01-08_final
2003-01-19 10:39:52	ga_ls7e_ard_3-1-0_105080_2003-01-19_final
2003-04-04 10:19:36	ga_ls7e_ard_3-1-0_102075_2003-04-04_final
2005-01-16 09:49:46	ga_ls7e_ard_3-1-0_097076_2005-01-16_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2008-02-18 10:41:40	ga_ls7e_ard_3-1-0_105080_2008-02-18_final
2010-04-22 09:41:24	ga_ls7e_ard_3-1-0_095079_2010-04-22_final
2010-10-15 11:21:39	ga_ls7e_ard_3-1-0_111082_2010-10-15_final
2010-12-24 10:44:29	ga_ls7e_ard_3-1-0_105080_2010-12-24_final
2011-01-10 11:26:43	ga_ls7e_ard_3-1-0_112077_2011-01-10_final
2011-05-25 09:53:57	ga_ls7e_ard_3-1-0_097076_2011-05-25_final
2011-06-28 09:42:43	ga_ls7e_ard_3-1-0_095079_2011-06-28_final
2011-12-11 10:45:10	ga_ls7e_ard_3-1-0_105080_2011-12-11_final
2012-06-27 09:16:23	ga_ls7e_ard_3-1-0_090088_2012-06-26_final
2012-11-11 10:47:18	ga_ls7e_ard_3-1-0_105080_2012-11-11_final
2012-12-19 11:48:07	ga_ls7e_ard_3-1-0_115077_2012-12-19_final
2014-04-28 09:29:52	ga_ls7e_ard_3-1-0_092084_2014-04-27_final
2014-04-28 11:03:33	ga_ls7e_ard_3-1-0_108071_2014-04-28_final
2014-05-09 10:48:39	ga_ls7e_ard_3-1-0_105080_2014-05-09_final
2014-05-28 09:41:59	ga_ls7e_ard_3-1-0_094083_2014-05-28_final
2014-07-06 09:46:43	ga_ls7e_ard_3-1-0_095079_2014-07-06_final
2015-10-06 09:44:37	ga_ls7e_ard_3-1-0_094083_2015-10-06_final
2015-11-23 09:45:26	ga_ls7e_ard_3-1-0_094083_2015-11-23_final
2016-06-23 10:02:55	ga_ls7e_ard_3-1-0_097076_2016-06-23_final
2017-06-05 09:47:11	ga_ls7e_ard_3-1-0_094083_2017-06-05_final
2017-10-13 09:34:53	ga_ls7e_ard_3-1-0_092083_2017-10-13_final
2017-12-07 11:18:58	ga_ls7e_ard_3-1-0_109081_2017-12-07_final
2018-03-02 09:57:32	ga_ls7e_ard_3-1-0_096081_2018-03-02_final
2018-04-06 10:25:34	ga_ls7e_ard_3-1-0_101075_2018-04-06_final
2018-09-21 11:14:18	ga_ls7e_ard_3-1-0_109081_2018-09-21_final
2018-09-25 10:49:05	ga_ls7e_ard_3-1-0_105080_2018-09-25_final
2019-02-21 09:23:07	ga_ls7e_ard_3-1-0_092076_2019-02-20_final
2019-02-28 09:30:16	ga_ls7e_ard_3-1-0_093079_2019-02-28_final
2019-03-05 09:47:51	ga_ls7e_ard_3-1-0_096077_2019-03-05_final
2019-03-11 10:51:04	ga_ls7e_ard_3-1-0_106081_2019-03-11_final
2019-03-12 09:53:25	ga_ls7e_ard_3-1-0_097076_2019-03-12_final
2019-03-14 09:41:23	ga_ls7e_ard_3-1-0_095077_2019-03-14_final
2019-03-27 10:51:19	ga_ls7e_ard_3-1-0_106083_2019-03-27_final
2019-03-28 09:54:52	ga_ls7e_ard_3-1-0_097081_2019-03-28_final
2019-08-29 10:22:04	ga_ls7e_ard_3-1-0_103071_2019-08-29_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-05 10:28:45	ga_ls7e_ard_3-1-0_104073_2019-09-05_final
2019-09-07 10:15:54	ga_ls7e_ard_3-1-0_102072_2019-09-07_final
2019-09-15 11:06:59	ga_ls7e_ard_3-1-0_110077_2019-09-15_final
2019-09-20 09:44:49	ga_ls7e_ard_3-1-0_097073_2019-09-20_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-29 09:40:39	ga_ls7e_ard_3-1-0_096079_2019-09-29_final
2019-10-05 10:41:25	ga_ls7e_ard_3-1-0_106077_2019-10-05_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-22 09:44:40	ga_ls7e_ard_3-1-0_097076_2019-10-22_final
2019-10-26 10:59:51	ga_ls7e_ard_3-1-0_109079_2019-10-26_final
2019-11-01 10:19:19	ga_ls7e_ard_3-1-0_103071_2019-11-01_final
2019-11-06 09:02:21	ga_ls7e_ard_3-1-0_090080_2019-11-05_final
2019-11-11 10:59:56	ga_ls7e_ard_3-1-0_109081_2019-11-11_final
2019-11-18 09:24:31	ga_ls7e_ard_3-1-0_094075_2019-11-17_final
2019-11-30 09:48:40	ga_ls7e_ard_3-1-0_098075_2019-11-30_final
2019-12-06 09:12:29	ga_ls7e_ard_3-1-0_092078_2019-12-05_final
2019-12-13 10:57:36	ga_ls7e_ard_3-1-0_109079_2019-12-13_final
2019-12-20 09:26:08	ga_ls7e_ard_3-1-0_094083_2019-12-19_final
2019-12-21 10:06:33	ga_ls7e_ard_3-1-0_101076_2019-12-21_final
2019-12-22 10:46:58	ga_ls7e_ard_3-1-0_108069_2019-12-22_final
2019-12-26 10:23:38	ga_ls7e_ard_3-1-0_104073_2019-12-26_final
2020-01-05 09:22:30	ga_ls7e_ard_3-1-0_094076_2020-01-04_final
2020-02-07 10:05:43	ga_ls7e_ard_3-1-0_101080_2020-02-07_final
2020-02-18 09:45:01	ga_ls7e_ard_3-1-0_098076_2020-02-18_final
2020-02-19 10:29:25	ga_ls7e_ard_3-1-0_105079_2020-02-19_final
2020-02-27 11:17:14	ga_ls7e_ard_3-1-0_113076_2020-02-27_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-09 10:59:18	ga_ls7e_ard_3-1-0_110079_2020-03-09_final
2020-03-27 10:46:21	ga_ls7e_ard_3-1-0_108080_2020-03-27_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-24 09:25:23	ga_ls7e_ard_3-1-0_096067_2020-04-23_final
2020-04-26 09:18:53	ga_ls7e_ard_3-1-0_094082_2020-04-25_final
2021-02-25 09:39:09	ga_ls7e_ard_3-2-0_101075_2021-02-25_final
2021-03-19 10:40:26	ga_ls7e_ard_3-2-0_111078_2021-03-19_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-14 09:35:18	ga_ls7e_ard_3-2-0_101075_2021-04-14_final
2021-04-18 09:12:14	ga_ls7e_ard_3-2-0_097080_2021-04-17_final
2021-04-29 08:53:33	ga_ls7e_ard_3-2-0_094082_2021-04-28_final
2021-05-20 09:08:21	ga_ls7e_ard_3-2-0_097077_2021-05-19_final
2021-05-22 08:56:13	ga_ls7e_ard_3-2-0_095078_2021-05-21_final
2021-05-26 08:31:33	ga_ls7e_ard_3-2-0_091079_2021-05-25_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-13 09:54:11	ga_ls7e_ard_3-2-0_105073_2021-06-13_final
2021-06-15 09:43:39	ga_ls7e_ard_3-2-0_103078_2021-06-15_final
2021-06-28 09:13:16	ga_ls7e_ard_3-2-0_098082_2021-06-27_final
2021-08-09 09:44:44	ga_ls7e_ard_3-2-0_104077_2021-08-09_final
2021-08-16 09:47:53	ga_ls7e_ard_3-2-0_105071_2021-08-16_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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