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
1999-09-11 11:43:41	ga_ls7e_ard_3-0-0_115074_1999-09-11_final
1999-10-01 09:44:13	ga_ls7e_ard_3-0-0_095084_1999-10-01_final
1999-10-29 11:43:41	ga_ls7e_ard_3-0-0_115074_1999-10-29_final
1999-11-02 09:40:29	ga_ls7e_ard_3-0-0_095075_1999-11-02_final
1999-11-02 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-11-02_final
1999-11-02 09:44:04	ga_ls7e_ard_3-0-0_095084_1999-11-02_final
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2000-01-01 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-01_final
2000-03-25 09:39:47	ga_ls7e_ard_3-0-0_095074_2000-03-25_final
2000-03-25 09:43:47	ga_ls7e_ard_3-0-0_095084_2000-03-25_final
2000-04-22 11:43:06	ga_ls7e_ard_3-0-0_115074_2000-04-22_final
2000-06-18 11:38:52	ga_ls7e_ard_3-0-0_114080_2000-06-18_final
2000-09-17 09:41:20	ga_ls7e_ard_3-0-0_095083_2000-09-17_final
2000-11-04 09:37:57	ga_ls7e_ard_3-0-0_095075_2000-11-04_final
2000-12-06 09:41:29	ga_ls7e_ard_3-0-0_095084_2000-12-06_final
2001-01-07 09:40:26	ga_ls7e_ard_3-0-0_095081_2001-01-07_final
2001-02-04 11:43:14	ga_ls7e_ard_3-0-0_115079_2001-02-04_final
2001-04-13 09:40:55	ga_ls7e_ard_3-0-0_095083_2001-04-13_final
2001-07-17 08:56:28	ga_ls7e_ard_3-0-0_088082_2001-07-16_final
2001-12-25 09:36:17	ga_ls7e_ard_3-0-0_095075_2001-12-25_final
2002-01-10 09:39:09	ga_ls7e_ard_3-0-0_095082_2002-01-10_final
2002-01-26 09:39:15	ga_ls7e_ard_3-0-0_095082_2002-01-26_final
2002-02-11 09:36:31	ga_ls7e_ard_3-0-0_095075_2002-02-11_final
2002-02-27 09:36:33	ga_ls7e_ard_3-0-0_095075_2002-02-27_final
2002-02-27 09:38:57	ga_ls7e_ard_3-0-0_095081_2002-02-27_final
2002-02-27 09:39:45	ga_ls7e_ard_3-0-0_095083_2002-02-27_final
2002-03-15 09:38:52	ga_ls7e_ard_3-0-0_095081_2002-03-15_final
2002-03-31 09:38:47	ga_ls7e_ard_3-0-0_095081_2002-03-31_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2002-04-28 11:40:25	ga_ls7e_ard_3-0-0_115076_2002-04-28_final
2002-12-12 09:35:50	ga_ls7e_ard_3-0-0_095075_2002-12-12_final
2002-12-28 09:39:32	ga_ls7e_ard_3-0-0_095084_2002-12-28_final
2003-02-14 09:36:17	ga_ls7e_ard_3-0-0_095075_2003-02-14_final
2003-02-26 11:40:15	ga_ls7e_ard_3-0-0_115076_2003-02-26_final
2003-04-03 09:39:32	ga_ls7e_ard_3-0-0_095083_2003-04-03_final
2003-12-11 11:41:33	ga_ls7e_ard_3-0-0_115079_2003-12-11_final
2004-11-15 09:39:44	ga_ls7e_ard_3-0-0_095083_2004-11-15_final
2005-03-06 08:56:49	ga_ls7e_ard_3-0-0_088082_2005-03-05_final
2005-10-17 09:40:20	ga_ls7e_ard_3-0-0_095084_2005-10-17_final
2006-09-17 08:56:39	ga_ls7e_ard_3-0-0_088082_2006-09-16_final
2007-10-22 08:57:00	ga_ls7e_ard_3-0-0_088082_2007-10-21_final
2008-12-24 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-12-24_final
2009-03-18 09:37:23	ga_ls7e_ard_3-0-0_095074_2009-03-18_final
2011-01-15 11:44:06	ga_ls7e_ard_3-0-0_115074_2011-01-15_final
2012-04-27 09:44:44	ga_ls7e_ard_3-0-0_095082_2012-04-27_final
2013-01-08 09:43:22	ga_ls7e_ard_3-0-0_095074_2013-01-08_final
2014-01-07 11:47:15	ga_ls7e_ard_3-0-0_115074_2014-01-07_final
2014-01-07 11:48:03	ga_ls7e_ard_3-0-0_115076_2014-01-07_final
2014-01-23 11:47:32	ga_ls7e_ard_3-0-0_115074_2014-01-23_final
2016-07-27 09:54:12	ga_ls7e_ard_3-0-0_095085_2016-07-27_final
2017-06-12 09:49:24	ga_ls7e_ard_3-1-0_095073_2017-06-12_final
2017-08-31 09:49:01	ga_ls7e_ard_3-0-0_095072_2017-08-31_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2019-11-09 09:33:07	ga_ls7e_ard_3-1-0_095080_2019-11-09_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-15 09:02:50	ga_ls7e_ard_3-2-0_095075_2021-02-14_final
2021-02-19 10:20:17	ga_ls7e_ard_3-2-0_107084_2021-02-19_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_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
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-04-24 10:11:55	ga_ls7e_ard_3-2-0_107076_2021-04-24_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_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
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_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
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_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
2021-09-06 08:30:32	ga_ls7e_ard_3-2-0_092083_2021-09-05_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
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-10 09:06:43	ga_ls7e_ard_3-2-0_099080_2021-11-09_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
2022-01-19 09:59:46	ga_ls7e_ard_3-2-1_109075_2022-01-19_final
2022-02-15 08:01:38	ga_ls7e_ard_3-2-1_090080_2022-02-14_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-23 10:29:11	ga_ls7e_ard_3-2-1_114080_2022-02-23_final
2022-03-05 09:25:37	ga_ls7e_ard_3-2-1_104078_2022-03-04_final
2022-03-10 08:07:35	ga_ls7e_ard_3-2-1_091085_2022-03-09_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