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
2000-09-07 09:06:51	ga_ls7e_ard_3-1-0_089089_2000-09-06_final
2002-10-06 09:08:24	ga_ls7e_ard_3-1-0_090085_2002-10-05_final
2004-03-13 09:27:28	ga_ls7e_ard_3-1-0_094067_2004-03-12_final
2004-10-07 11:12:23	ga_ls7e_ard_3-1-0_110084_2004-10-07_final
2004-12-10 11:08:17	ga_ls7e_ard_3-1-0_110072_2004-12-10_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-08-07 09:02:36	ga_ls7e_ard_3-1-0_089081_2006-08-06_final
2006-11-23 09:30:02	ga_ls7e_ard_3-1-0_093087_2006-11-23_final
2006-12-29 09:03:07	ga_ls7e_ard_3-1-0_089081_2006-12-28_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-07-12 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-07-12_final
2007-12-12 11:06:49	ga_ls7e_ard_3-1-0_109081_2007-12-12_final
2008-09-25 09:28:50	ga_ls7e_ard_3-1-0_093087_2008-09-24_final
2009-01-19 09:02:38	ga_ls7e_ard_3-1-0_089081_2009-01-18_final
2009-04-12 11:09:26	ga_ls7e_ard_3-1-0_110072_2009-04-12_final
2009-04-22 10:12:28	ga_ls7e_ard_3-1-0_100084_2009-04-22_final
2009-06-24 09:30:02	ga_ls7e_ard_3-1-0_093086_2009-06-24_final
2010-08-05 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-08-05_final
2010-11-13 09:13:23	ga_ls7e_ard_3-1-0_090085_2010-11-12_final
2010-12-31 09:13:51	ga_ls7e_ard_3-1-0_090085_2010-12-30_final
2012-02-13 09:10:14	ga_ls7e_ard_3-1-0_089089_2012-02-12_final
2012-02-20 09:14:50	ga_ls7e_ard_3-1-0_090085_2012-02-19_final
2012-06-16 09:34:27	ga_ls7e_ard_3-1-0_093087_2012-06-16_final
2014-07-31 11:16:44	ga_ls7e_ard_3-1-0_110072_2014-07-31_final
2014-08-30 11:29:53	ga_ls7e_ard_3-1-0_112074_2014-08-30_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-08-07 09:20:30	ga_ls7e_ard_3-1-0_090085_2015-08-06_final
2018-08-14 10:14:54	ga_ls7e_ard_3-1-0_099085_2018-08-14_final
2018-10-20 10:38:19	ga_ls7e_ard_3-1-0_104070_2018-10-20_final
2019-03-18 10:55:01	ga_ls7e_ard_3-1-0_107076_2019-03-18_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-09-25 10:02:44	ga_ls7e_ard_3-1-0_100072_2019-09-25_final
2019-09-25 10:07:32	ga_ls7e_ard_3-1-0_100084_2019-09-25_final
2019-10-01 11:08:41	ga_ls7e_ard_3-1-0_110083_2019-10-01_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-11-02 09:24:51	ga_ls7e_ard_3-1-0_094074_2019-11-01_final
2019-11-11 10:55:33	ga_ls7e_ard_3-1-0_109070_2019-11-11_final
2019-11-18 11:02:36	ga_ls7e_ard_3-1-0_110073_2019-11-18_final
2019-11-27 10:55:12	ga_ls7e_ard_3-1-0_109071_2019-11-27_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-17 08:54:59	ga_ls7e_ard_3-1-0_089082_2019-12-16_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-23 09:56:29	ga_ls7e_ard_3-1-0_099082_2019-12-23_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-05 11:01:23	ga_ls7e_ard_3-1-0_110076_2020-01-05_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-05 10:15:23	ga_ls7e_ard_3-1-0_103073_2020-02-05_final
2020-02-06 11:02:35	ga_ls7e_ard_3-1-0_110083_2020-02-06_final
2020-02-16 10:00:40	ga_ls7e_ard_3-1-0_100084_2020-02-16_final
2020-03-18 10:54:13	ga_ls7e_ard_3-1-0_109083_2020-03-18_final
2020-03-31 10:16:37	ga_ls7e_ard_3-1-0_104068_2020-03-31_final
2020-04-07 08:50:18	ga_ls7e_ard_3-1-0_089085_2020-04-06_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2020-08-11 10:31:57	ga_ls7e_ard_3-1-0_107080_2020-08-11_final
2020-08-16 10:46:35	ga_ls7e_ard_3-1-0_110071_2020-08-16_final
2020-08-23 09:18:37	ga_ls7e_ard_3-1-0_095084_2020-08-22_final
2020-08-27 10:28:56	ga_ls7e_ard_3-1-0_107075_2020-08-27_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-08-29 10:13:39	ga_ls7e_ard_3-1-0_105068_2020-08-29_final
2020-09-01 09:13:03	ga_ls7e_ard_3-1-0_094087_2020-08-31_final
2020-09-10 09:01:06	ga_ls7e_ard_3-1-0_093074_2020-09-09_final
2020-09-18 09:48:48	ga_ls7e_ard_3-1-0_101071_2020-09-18_final
2020-09-20 11:16:47	ga_ls7e_ard_3-1-0_115075_2020-09-20_final
2020-09-21 10:23:53	ga_ls7e_ard_3-1-0_106082_2020-09-21_final
2020-09-25 09:54:07	ga_ls7e_ard_3-1-0_102070_2020-09-25_final
2020-10-15 11:11:00	ga_ls7e_ard_3-1-0_114080_2020-10-15_final
2020-10-19 09:08:44	ga_ls7e_ard_3-1-0_094084_2020-10-18_final
2020-10-25 10:04:09	ga_ls7e_ard_3-1-0_104069_2020-10-25_final
2020-10-28 10:40:27	ga_ls7e_ard_3-1-0_109083_2020-10-28_final
2020-11-01 08:37:46	ga_ls7e_ard_3-1-0_089086_2020-10-31_final
2020-11-12 09:55:22	ga_ls7e_ard_3-1-0_102081_2020-11-12_final
2020-11-15 10:27:15	ga_ls7e_ard_3-1-0_107084_2020-11-15_final
2020-11-16 09:28:46	ga_ls7e_ard_3-1-0_098077_2020-11-15_final
2020-11-19 09:59:28	ga_ls7e_ard_3-1-0_103077_2020-11-19_final
2020-11-22 10:32:33	ga_ls7e_ard_3-1-0_108083_2020-11-22_final
2020-12-03 10:08:01	ga_ls7e_ard_3-1-0_105070_2020-12-03_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-11 11:01:15	ga_ls7e_ard_3-1-0_113081_2020-12-11_final
2020-12-16 09:41:20	ga_ls7e_ard_3-1-0_100083_2020-12-16_final
2020-12-18 09:28:49	ga_ls7e_ard_3-1-0_098083_2020-12-17_final
2020-12-29 10:42:23	ga_ls7e_ard_3-1-0_111068_2020-12-29_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-12 09:16:29	ga_ls7e_ard_3-1-0_097072_2021-01-11_final
2021-01-18 10:17:51	ga_ls7e_ard_3-1-0_107072_2021-01-18_final
2021-01-19 11:02:39	ga_ls7e_ard_3-1-0_114076_2021-01-19_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-01-24 09:40:21	ga_ls7e_ard_3-2-0_101072_2021-01-24_final
2021-01-27 10:13:01	ga_ls7e_ard_3-2-0_106077_2021-01-27_final
2021-02-12 08:37:21	ga_ls7e_ard_3-2-0_090088_2021-02-11_final
2021-02-13 10:53:50	ga_ls7e_ard_3-2-0_113074_2021-02-13_final
2021-02-24 08:55:35	ga_ls7e_ard_3-2-0_094074_2021-02-23_final
2021-02-27 11:06:43	ga_ls7e_ard_3-2-0_115078_2021-02-27_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-28 07:53:52	ga_ls7e_ard_3-2-1_089086_2022-03-27_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_2022-04-03_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