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
2000-03-27 11:09:05	ga_ls7e_ard_3-1-0_109081_2000-03-27_final
2003-08-08 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-08_final
2004-01-28 10:02:11	ga_ls7e_ard_3-1-0_099077_2004-01-28_final
2005-08-23 09:33:53	ga_ls7e_ard_3-1-0_094083_2005-08-23_final
2005-09-08 09:33:44	ga_ls7e_ard_3-1-0_094083_2005-09-08_final
2006-06-06 10:25:05	ga_ls7e_ard_3-1-0_103070_2006-06-06_final
2006-10-27 11:23:08	ga_ls7e_ard_3-1-0_112077_2006-10-27_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-09-07 11:06:23	ga_ls7e_ard_3-1-0_109081_2007-09-07_final
2008-08-08 09:29:38	ga_ls7e_ard_3-1-0_093088_2008-08-07_final
2008-08-25 10:09:59	ga_ls7e_ard_3-1-0_100081_2008-08-25_final
2008-08-28 09:01:59	ga_ls7e_ard_3-1-0_089081_2008-08-27_final
2010-08-21 09:36:51	ga_ls7e_ard_3-1-0_094083_2010-08-21_final
2011-01-21 09:33:22	ga_ls7e_ard_3-1-0_093087_2011-01-21_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-05-14 10:14:28	ga_ls7e_ard_3-1-0_100081_2011-05-14_final
2012-06-17 10:15:20	ga_ls7e_ard_3-1-0_100081_2012-06-17_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-02-05 10:12:32	ga_ls7e_ard_3-1-0_099085_2013-02-05_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-05-18 09:35:54	ga_ls7e_ard_3-1-0_093087_2013-05-18_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-07-24 09:36:01	ga_ls7e_ard_3-1-0_093083_2014-07-24_final
2014-11-09 11:39:05	ga_ls7e_ard_3-1-0_113080_2014-11-09_final
2015-02-24 11:22:19	ga_ls7e_ard_3-1-0_110083_2015-02-24_final
2015-09-09 11:40:44	ga_ls7e_ard_3-1-0_113080_2015-09-09_final
2015-12-02 09:40:57	ga_ls7e_ard_3-1-0_093087_2015-12-02_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2017-04-18 09:46:59	ga_ls7e_ard_3-1-0_094083_2017-04-18_final
2017-09-08 10:42:26	ga_ls7e_ard_3-1-0_103082_2017-09-08_final
2017-12-30 11:21:18	ga_ls7e_ard_3-1-0_110072_2017-12-30_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2019-02-24 09:52:43	ga_ls7e_ard_3-1-0_097073_2019-02-24_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-03-20 09:04:54	ga_ls7e_ard_3-1-0_089079_2019-03-19_final
2019-08-23 11:03:00	ga_ls7e_ard_3-1-0_109080_2019-08-23_final
2019-08-24 10:05:44	ga_ls7e_ard_3-1-0_100076_2019-08-24_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-15 09:30:54	ga_ls7e_ard_3-1-0_094084_2019-09-15_final
2019-09-15 11:07:23	ga_ls7e_ard_3-1-0_110078_2019-09-15_final
2019-09-20 11:26:30	ga_ls7e_ard_3-1-0_113080_2019-09-20_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-10-31 11:17:47	ga_ls7e_ard_3-1-0_112078_2019-10-31_final
2019-11-02 09:27:15	ga_ls7e_ard_3-1-0_094080_2019-11-01_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-18 11:04:36	ga_ls7e_ard_3-1-0_110078_2019-11-18_final
2019-11-21 09:56:04	ga_ls7e_ard_3-1-0_099077_2019-11-21_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-04 11:03:02	ga_ls7e_ard_3-1-0_110076_2019-12-04_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-18 11:14:17	ga_ls7e_ard_3-1-0_112075_2019-12-18_final
2019-12-20 09:24:56	ga_ls7e_ard_3-1-0_094080_2019-12-19_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-01-08 09:56:03	ga_ls7e_ard_3-1-0_099083_2020-01-08_final
2020-01-15 09:59:53	ga_ls7e_ard_3-1-0_100078_2020-01-15_final
2020-01-26 11:21:17	ga_ls7e_ard_3-1-0_113082_2020-01-26_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-12 10:22:24	ga_ls7e_ard_3-1-0_104076_2020-02-12_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-02-27 11:17:38	ga_ls7e_ard_3-1-0_113077_2020-02-27_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-02 10:51:54	ga_ls7e_ard_3-1-0_109075_2020-03-02_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-09 10:56:54	ga_ls7e_ard_3-1-0_110073_2020-03-09_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-25 10:59:13	ga_ls7e_ard_3-1-0_110081_2020-03-25_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-04-03 10:49:20	ga_ls7e_ard_3-1-0_109073_2020-04-03_final
2020-04-07 08:47:54	ga_ls7e_ard_3-1-0_089079_2020-04-06_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-10 10:57:07	ga_ls7e_ard_3-1-0_110078_2020-04-10_final
2020-04-13 09:49:45	ga_ls7e_ard_3-1-0_099080_2020-04-13_final
2020-04-14 08:55:40	ga_ls7e_ard_3-1-0_090084_2020-04-13_final
2020-04-23 08:48:34	ga_ls7e_ard_3-1-0_089083_2020-04-22_final
2020-04-26 10:56:58	ga_ls7e_ard_3-1-0_110080_2020-04-26_final
2020-04-30 08:52:44	ga_ls7e_ard_3-1-0_090079_2020-04-29_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-27 08:45:59	ga_ls7e_ard_3-2-1_098077_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-02 08:07:56	ga_ls7e_ard_3-2-1_092076_2022-04-01_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_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