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
1999-09-06 11:29:11	ga_ls7e_ard_3-1-0_112084_1999-09-06_final
1999-09-14 10:34:04	ga_ls7e_ard_3-1-0_104070_1999-09-14_final
1999-09-18 10:09:45	ga_ls7e_ard_3-1-0_100071_1999-09-18_final
1999-10-17 11:22:13	ga_ls7e_ard_3-1-0_111082_1999-10-17_final
1999-11-20 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-11-20_final
2000-01-18 09:13:28	ga_ls7e_ard_3-1-0_090085_2000-01-17_final
2000-01-28 09:48:59	ga_ls7e_ard_3-1-0_096081_2000-01-28_final
2000-02-09 10:13:37	ga_ls7e_ard_3-1-0_100081_2000-02-09_final
2000-08-10 10:15:45	ga_ls7e_ard_3-1-0_101075_2000-08-10_final
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2000-09-16 10:31:48	ga_ls7e_ard_3-1-0_104070_2000-09-16_final
2000-10-09 09:03:17	ga_ls7e_ard_3-1-0_089081_2000-10-08_final
2000-11-14 10:15:25	ga_ls7e_ard_3-1-0_101076_2000-11-14_final
2001-01-07 11:19:43	ga_ls7e_ard_3-1-0_111082_2001-01-07_final
2001-07-27 11:08:20	ga_ls7e_ard_3-1-0_110072_2001-07-27_final
2001-08-15 10:00:21	ga_ls7e_ard_3-1-0_099073_2001-08-15_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2001-09-06 09:28:37	ga_ls7e_ard_3-1-0_093087_2001-09-05_final
2001-10-05 10:29:29	ga_ls7e_ard_3-1-0_104070_2001-10-05_final
2001-10-15 11:07:20	ga_ls7e_ard_3-1-0_110072_2001-10-15_final
2002-04-26 10:13:28	ga_ls7e_ard_3-1-0_101075_2002-04-26_final
2002-05-12 10:13:27	ga_ls7e_ard_3-1-0_101075_2002-05-12_final
2002-06-29 10:13:07	ga_ls7e_ard_3-1-0_101075_2002-06-29_final
2002-08-17 10:58:54	ga_ls7e_ard_3-1-0_108082_2002-08-17_final
2002-09-13 10:36:30	ga_ls7e_ard_3-1-0_105073_2002-09-13_final
2002-10-03 10:12:24	ga_ls7e_ard_3-1-0_101075_2002-10-03_final
2002-11-10 11:17:09	ga_ls7e_ard_3-1-0_111082_2002-11-10_final
2003-01-26 09:09:11	ga_ls7e_ard_3-1-0_090085_2003-01-25_final
2003-02-20 09:04:47	ga_ls7e_ard_3-1-0_089089_2003-02-19_final
2003-03-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2003-03-17_final
2003-05-07 09:28:47	ga_ls7e_ard_3-1-0_093087_2003-05-06_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2006-04-24 10:45:36	ga_ls7e_ard_3-1-0_106075_2006-04-24_final
2006-06-23 11:13:51	ga_ls7e_ard_3-1-0_110084_2006-06-23_final
2007-02-11 09:30:02	ga_ls7e_ard_3-1-0_093086_2007-02-11_final
2007-08-27 09:48:08	ga_ls7e_ard_3-1-0_096086_2007-08-27_final
2008-02-07 10:56:39	ga_ls7e_ard_3-1-0_108071_2008-02-07_final
2008-10-02 11:07:51	ga_ls7e_ard_3-1-0_110072_2008-10-02_final
2009-01-06 11:08:45	ga_ls7e_ard_3-1-0_110072_2009-01-06_final
2009-03-22 09:17:28	ga_ls7e_ard_3-1-0_091086_2009-03-21_final
2010-10-01 09:27:03	ga_ls7e_ard_3-1-0_093074_2010-09-30_final
2012-03-05 11:02:02	ga_ls7e_ard_3-1-0_108075_2012-03-05_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2013-09-30 11:14:54	ga_ls7e_ard_3-1-0_110072_2013-09-30_final
2016-01-14 09:22:18	ga_ls7e_ard_3-1-0_090085_2016-01-13_final
2017-06-12 09:49:24	ga_ls7e_ard_3-1-0_095073_2017-06-12_final
2017-11-03 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-11-03_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-18 09:20:55	ga_ls7e_ard_3-1-0_091088_2019-03-17_final
2019-03-24 10:18:08	ga_ls7e_ard_3-1-0_101077_2019-03-24_final
2019-07-15 10:56:25	ga_ls7e_ard_3-1-0_108075_2019-07-15_final
2019-08-27 09:00:26	ga_ls7e_ard_3-1-0_089083_2019-08-26_final
2019-09-06 11:11:58	ga_ls7e_ard_3-1-0_111073_2019-09-06_final
2019-09-15 09:26:54	ga_ls7e_ard_3-1-0_094074_2019-09-14_final
2019-10-06 11:25:50	ga_ls7e_ard_3-1-0_113080_2019-10-06_final
2019-10-22 11:19:58	ga_ls7e_ard_3-1-0_113067_2019-10-22_final
2019-11-09 09:33:07	ga_ls7e_ard_3-1-0_095080_2019-11-09_final
2019-11-13 10:43:30	ga_ls7e_ard_3-1-0_107071_2019-11-13_final
2019-11-23 09:46:25	ga_ls7e_ard_3-1-0_097084_2019-11-23_final
2019-12-05 10:09:21	ga_ls7e_ard_3-1-0_101081_2019-12-05_final
2019-12-08 09:02:25	ga_ls7e_ard_3-1-0_090084_2019-12-07_final
2019-12-25 09:44:25	ga_ls7e_ard_3-1-0_097083_2019-12-25_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-17 09:48:14	ga_ls7e_ard_3-1-0_098080_2020-01-17_final
2020-01-30 10:56:46	ga_ls7e_ard_3-1-0_109083_2020-01-30_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-02-15 10:55:56	ga_ls7e_ard_3-1-0_109083_2020-02-15_final
2020-02-18 09:45:49	ga_ls7e_ard_3-1-0_098078_2020-02-18_final
2020-03-30 09:37:24	ga_ls7e_ard_3-1-0_097078_2020-03-30_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-18 10:08:48	ga_ls7e_ard_3-1-0_102082_2020-04-18_final
2021-03-26 09:05:10	ga_ls7e_ard_3-2-0_096073_2021-03-25_final
2021-04-13 10:27:48	ga_ls7e_ard_3-2-0_110067_2021-04-13_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-04 10:01:05	ga_ls7e_ard_3-2-0_106073_2021-06-04_final
2021-06-05 09:05:23	ga_ls7e_ard_3-2-0_097073_2021-06-04_final
2021-07-08 09:48:43	ga_ls7e_ard_3-2-0_104080_2021-07-08_final
2021-08-01 10:37:16	ga_ls7e_ard_3-2-0_112083_2021-08-01_final
2021-08-09 09:46:44	ga_ls7e_ard_3-2-0_104082_2021-08-09_final
2021-08-14 08:26:44	ga_ls7e_ard_3-2-0_091084_2021-08-13_final
2021-08-22 09:09:54	ga_ls7e_ard_3-2-0_099070_2021-08-21_final
2021-08-30 10:04:14	ga_ls7e_ard_3-2-0_107084_2021-08-30_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-10-09 10:46:09	ga_ls7e_ard_3-2-0_115074_2021-10-09_final
2021-10-13 10:18:17	ga_ls7e_ard_3-2-0_111067_2021-10-13_final
2021-10-29 08:43:56	ga_ls7e_ard_3-2-0_095082_2021-10-28_final
2021-10-31 10:10:40	ga_ls7e_ard_3-2-0_109083_2021-10-31_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-16 08:38:57	ga_ls7e_ard_3-2-1_095081_2021-12-15_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-09 09:21:38	ga_ls7e_ard_3-2-1_103070_2022-01-08_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-13 08:56:33	ga_ls7e_ard_3-2-1_099070_2022-01-12_final
2022-02-15 08:01:38	ga_ls7e_ard_3-2-1_090080_2022-02-14_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_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