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
1999-07-16 10:13:42	ga_ls7e_ard_3-1-0_100081_1999-07-16_final
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
1999-08-23 11:12:00	ga_ls7e_ard_3-1-0_110072_1999-08-23_final
1999-09-08 09:37:31	ga_ls7e_ard_3-1-0_094083_1999-09-08_final
1999-11-20 11:09:22	ga_ls7e_ard_3-1-0_109081_1999-11-20_final
2000-06-06 11:10:57	ga_ls7e_ard_3-1-0_110072_2000-06-06_final
2000-07-05 09:07:43	ga_ls7e_ard_3-1-0_089089_2000-07-04_final
2000-08-13 09:11:47	ga_ls7e_ard_3-1-0_090085_2000-08-12_final
2000-11-06 11:06:51	ga_ls7e_ard_3-1-0_109081_2000-11-06_final
2001-03-09 09:13:01	ga_ls7e_ard_3-1-0_090090_2001-03-08_final
2001-03-14 11:06:49	ga_ls7e_ard_3-1-0_109081_2001-03-14_final
2001-07-01 10:30:35	ga_ls7e_ard_3-1-0_104070_2001-07-01_final
2001-07-11 11:08:28	ga_ls7e_ard_3-1-0_110072_2001-07-11_final
2001-12-07 09:48:54	ga_ls7e_ard_3-1-0_097076_2001-12-07_final
2002-01-03 11:07:44	ga_ls7e_ard_3-1-0_110072_2002-01-03_final
2002-01-19 09:33:26	ga_ls7e_ard_3-1-0_094083_2002-01-19_final
2002-03-01 09:29:00	ga_ls7e_ard_3-1-0_093087_2002-02-28_final
2002-04-30 09:49:12	ga_ls7e_ard_3-1-0_097076_2002-04-30_final
2002-08-28 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-08-27_final
2003-01-19 09:01:23	ga_ls7e_ard_3-1-0_089081_2003-01-18_final
2003-04-09 09:01:40	ga_ls7e_ard_3-1-0_089081_2003-04-08_final
2003-04-22 10:09:37	ga_ls7e_ard_3-1-0_100081_2003-04-22_final
2003-05-19 09:49:02	ga_ls7e_ard_3-1-0_097076_2003-05-19_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-04-07 11:09:38	ga_ls7e_ard_3-1-0_110072_2007-04-07_final
2007-04-11 09:11:13	ga_ls7e_ard_3-1-0_090085_2007-04-10_final
2008-03-14 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-14_final
2008-08-28 09:01:59	ga_ls7e_ard_3-1-0_089081_2008-08-27_final
2008-10-02 11:07:51	ga_ls7e_ard_3-1-0_110072_2008-10-02_final
2009-07-17 11:09:25	ga_ls7e_ard_3-1-0_110072_2009-07-17_final
2009-08-18 11:09:17	ga_ls7e_ard_3-1-0_110072_2009-08-18_final
2012-02-16 11:13:14	ga_ls7e_ard_3-1-0_110072_2012-02-16_final
2012-08-31 09:55:39	ga_ls7e_ard_3-1-0_097076_2012-08-31_final
2013-11-30 09:12:24	ga_ls7e_ard_3-1-0_089089_2013-11-29_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2015-08-07 09:20:30	ga_ls7e_ard_3-1-0_090085_2015-08-06_final
2015-08-23 09:20:32	ga_ls7e_ard_3-1-0_090085_2015-08-22_final
2016-04-28 09:15:16	ga_ls7e_ard_3-1-0_089081_2016-04-27_final
2016-09-22 11:21:50	ga_ls7e_ard_3-1-0_110072_2016-09-22_final
2017-06-19 11:36:05	ga_ls7e_ard_3-1-0_112077_2017-06-19_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2019-02-16 09:07:07	ga_ls7e_ard_3-1-0_089082_2019-02-15_final
2019-02-19 09:39:07	ga_ls7e_ard_3-1-0_094085_2019-02-19_final
2019-02-23 09:14:17	ga_ls7e_ard_3-1-0_090085_2019-02-22_final
2019-03-02 10:57:56	ga_ls7e_ard_3-1-0_107082_2019-03-02_final
2019-09-02 10:00:46	ga_ls7e_ard_3-1-0_099080_2019-09-02_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-12 08:58:56	ga_ls7e_ard_3-1-0_089081_2019-09-11_final
2019-09-13 11:19:02	ga_ls7e_ard_3-1-0_112076_2019-09-13_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-09-20 11:27:42	ga_ls7e_ard_3-1-0_113083_2019-09-20_final
2019-09-21 10:28:26	ga_ls7e_ard_3-1-0_104074_2019-09-21_final
2019-09-28 08:57:50	ga_ls7e_ard_3-1-0_089080_2019-09-27_final
2019-10-05 09:04:08	ga_ls7e_ard_3-1-0_090081_2019-10-04_final
2019-10-06 11:20:38	ga_ls7e_ard_3-1-0_113067_2019-10-06_final
2019-10-13 11:30:31	ga_ls7e_ard_3-1-0_114077_2019-10-13_final
2019-10-20 09:58:43	ga_ls7e_ard_3-1-0_099080_2019-10-20_final
2019-10-22 11:19:58	ga_ls7e_ard_3-1-0_113067_2019-10-22_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-26 09:22:58	ga_ls7e_ard_3-1-0_093084_2019-10-25_final
2019-11-05 09:54:01	ga_ls7e_ard_3-1-0_099070_2019-11-05_final
2019-11-05 09:54:49	ga_ls7e_ard_3-1-0_099072_2019-11-05_final
2019-11-05 09:57:13	ga_ls7e_ard_3-1-0_099078_2019-11-05_final
2019-11-07 09:46:46	ga_ls7e_ard_3-1-0_097083_2019-11-07_final
2019-11-14 11:29:30	ga_ls7e_ard_3-1-0_114078_2019-11-14_final
2019-11-18 11:06:12	ga_ls7e_ard_3-1-0_110082_2019-11-18_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-12-05 10:09:21	ga_ls7e_ard_3-1-0_101081_2019-12-05_final
2019-12-17 08:54:35	ga_ls7e_ard_3-1-0_089081_2019-12-16_final
2019-12-25 09:39:38	ga_ls7e_ard_3-1-0_097071_2019-12-25_final
2020-01-01 11:27:07	ga_ls7e_ard_3-1-0_114078_2020-01-01_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-08 09:56:03	ga_ls7e_ard_3-1-0_099083_2020-01-08_final
2020-01-10 09:43:35	ga_ls7e_ard_3-1-0_097083_2020-01-10_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_final
2020-01-26 11:20:29	ga_ls7e_ard_3-1-0_113080_2020-01-26_final
2020-02-06 11:02:35	ga_ls7e_ard_3-1-0_110083_2020-02-06_final
2020-02-12 10:20:25	ga_ls7e_ard_3-1-0_104071_2020-02-12_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-18 10:54:37	ga_ls7e_ard_3-1-0_109084_2020-03-18_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-20 09:57:07	ga_ls7e_ard_3-1-0_100084_2020-04-20_final
2020-04-23 08:46:58	ga_ls7e_ard_3-1-0_089079_2020-04-22_final
2020-04-26 10:56:34	ga_ls7e_ard_3-1-0_110079_2020-04-26_final
2020-04-26 10:57:46	ga_ls7e_ard_3-1-0_110082_2020-04-26_final
2020-04-26 10:58:34	ga_ls7e_ard_3-1-0_110084_2020-04-26_final
2020-04-29 09:43:37	ga_ls7e_ard_3-1-0_099067_2020-04-29_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_2022-03-20_final
2022-03-22 10:06:00	ga_ls7e_ard_3-2-1_111075_2022-03-22_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-25 08:59:44	ga_ls7e_ard_3-2-1_100080_2022-03-24_final
2022-03-28 09:25:34	ga_ls7e_ard_3-2-1_105068_2022-03-27_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