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
1999-08-14 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-08-14_final
1999-08-30 09:44:56	ga_ls7e_ard_3-0-0_095086_1999-08-30_final
1999-10-01 09:41:25	ga_ls7e_ard_3-0-0_095077_1999-10-01_final
1999-11-02 09:44:52	ga_ls7e_ard_3-0-0_095086_1999-11-02_final
2000-01-20 09:00:19	ga_ls7e_ard_3-0-0_088083_2000-01-19_final
2000-03-25 09:43:23	ga_ls7e_ard_3-0-0_095083_2000-03-25_final
2000-04-10 09:42:22	ga_ls7e_ard_3-0-0_095081_2000-04-10_final
2000-09-17 09:38:09	ga_ls7e_ard_3-0-0_095075_2000-09-17_final
2000-11-04 09:41:33	ga_ls7e_ard_3-0-0_095084_2000-11-04_final
2000-12-06 09:39:54	ga_ls7e_ard_3-0-0_095080_2000-12-06_final
2001-03-12 09:37:55	ga_ls7e_ard_3-0-0_095075_2001-03-12_final
2001-11-07 09:34:48	ga_ls7e_ard_3-0-0_095072_2001-11-07_final
2002-01-26 09:41:14	ga_ls7e_ard_3-0-0_095087_2002-01-26_final
2002-02-11 09:36:31	ga_ls7e_ard_3-0-0_095075_2002-02-11_final
2002-09-07 09:35:35	ga_ls7e_ard_3-0-0_095075_2002-09-07_final
2002-09-23 09:38:34	ga_ls7e_ard_3-0-0_095083_2002-09-23_final
2003-01-29 09:36:06	ga_ls7e_ard_3-0-0_095075_2003-01-29_final
2003-02-14 09:39:28	ga_ls7e_ard_3-0-0_095083_2003-02-14_final
2003-10-12 09:35:17	ga_ls7e_ard_3-0-0_095074_2003-10-12_final
2004-05-07 09:37:35	ga_ls7e_ard_3-0-0_095077_2004-05-07_final
2004-07-10 09:40:35	ga_ls7e_ard_3-0-0_095085_2004-07-10_final
2004-11-15 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-11-15_final
2005-02-19 09:37:14	ga_ls7e_ard_3-0-0_095075_2005-02-19_final
2005-04-08 09:42:00	ga_ls7e_ard_3-0-0_095087_2005-04-08_final
2005-12-20 09:36:01	ga_ls7e_ard_3-0-0_095072_2005-12-20_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2008-02-12 09:41:29	ga_ls7e_ard_3-0-0_095084_2008-02-12_final
2008-03-31 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-31_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-04-03 09:41:04	ga_ls7e_ard_3-0-0_095083_2009-04-03_final
2011-11-19 09:40:49	ga_ls7e_ard_3-0-0_095074_2011-11-19_final
2011-12-21 09:41:05	ga_ls7e_ard_3-0-0_095074_2011-12-21_final
2013-01-24 09:46:35	ga_ls7e_ard_3-0-0_095082_2013-01-24_final
2013-03-13 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-03-13_final
2013-10-07 09:42:18	ga_ls7e_ard_3-0-0_095072_2013-10-07_final
2013-10-23 09:42:28	ga_ls7e_ard_3-0-0_095072_2013-10-23_final
2014-03-15 09:03:59	ga_ls7e_ard_3-0-0_088082_2014-03-14_final
2015-01-30 09:45:52	ga_ls7e_ard_3-0-0_095074_2015-01-30_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-11-30 09:48:06	ga_ls7e_ard_3-0-0_095074_2015-11-30_final
2016-03-21 09:54:07	ga_ls7e_ard_3-0-0_095086_2016-03-21_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-11-19 09:50:10	ga_ls7e_ard_3-0-0_095075_2017-11-19_final
2018-05-14 09:47:02	ga_ls7e_ard_3-1-0_095073_2018-05-14_final
2018-07-01 09:50:59	ga_ls7e_ard_3-0-0_095085_2018-07-01_final
2019-02-26 09:40:42	ga_ls7e_ard_3-1-0_095074_2019-02-26_final
2019-07-20 09:35:53	ga_ls7e_ard_3-0-0_095075_2019-07-20_final
2019-12-11 09:31:58	ga_ls7e_ard_3-1-0_095081_2019-12-11_final
2020-01-28 09:31:32	ga_ls7e_ard_3-1-0_095086_2020-01-28_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2021-02-10 08:48:40	ga_ls7e_ard_3-2-0_092085_2021-02-09_final
2021-03-16 08:32:05	ga_ls7e_ard_3-2-0_090081_2021-03-15_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-23 09:29:09	ga_ls7e_ard_3-2-0_100077_2021-04-22_final
2021-04-30 09:36:20	ga_ls7e_ard_3-2-0_101081_2021-04-30_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-05-26 10:11:37	ga_ls7e_ard_3-2-0_107082_2021-05-26_final
2021-05-31 08:50:51	ga_ls7e_ard_3-2-0_094082_2021-05-30_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-07 10:29:45	ga_ls7e_ard_3-2-0_111068_2021-06-07_final
2021-06-27 08:28:06	ga_ls7e_ard_3-2-0_091077_2021-06-26_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-04 09:29:02	ga_ls7e_ard_3-2-0_101083_2021-08-03_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-02 10:31:17	ga_ls7e_ard_3-2-0_112075_2021-09-02_final
2021-09-08 08:18:23	ga_ls7e_ard_3-2-0_090084_2021-09-07_final
2021-09-16 09:01:08	ga_ls7e_ard_3-2-0_098069_2021-09-15_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-10-21 09:33:18	ga_ls7e_ard_3-2-0_103080_2021-10-21_final
2021-10-22 08:39:12	ga_ls7e_ard_3-2-0_094084_2021-10-21_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-10-29 08:43:08	ga_ls7e_ard_3-2-0_095080_2021-10-28_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-03 08:58:01	ga_ls7e_ard_3-2-0_098072_2021-11-02_final
2021-11-16 10:04:20	ga_ls7e_ard_3-2-1_109071_2021-11-16_final
2021-11-17 09:09:01	ga_ls7e_ard_3-2-1_100072_2021-11-16_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-11-27 08:09:51	ga_ls7e_ard_3-2-1_090081_2021-11-26_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2021-12-30 08:50:44	ga_ls7e_ard_3-2-1_097083_2021-12-29_final
2022-01-13 10:37:01	ga_ls7e_ard_3-2-1_115074_2022-01-13_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-01-30 08:03:16	ga_ls7e_ard_3-2-1_090080_2022-01-29_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-02-27 08:26:00	ga_ls7e_ard_3-2-1_094082_2022-02-26_final
2022-03-01 08:12:39	ga_ls7e_ard_3-2-1_092080_2022-02-28_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_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