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
2000-01-15 10:17:30	ga_ls7e_ard_3-1-0_101075_2000-01-15_final
2000-06-04 11:28:08	ga_ls7e_ard_3-1-0_112084_2000-06-04_final
2000-11-27 09:46:32	ga_ls7e_ard_3-1-0_096081_2000-11-27_final
2000-11-30 10:16:39	ga_ls7e_ard_3-1-0_101079_2000-11-30_final
2001-01-29 10:41:54	ga_ls7e_ard_3-1-0_105080_2001-01-29_final
2001-03-09 09:11:02	ga_ls7e_ard_3-1-0_090085_2001-03-08_final
2001-03-18 10:41:38	ga_ls7e_ard_3-1-0_105080_2001-03-18_final
2001-04-13 09:36:55	ga_ls7e_ard_3-1-0_095073_2001-04-13_final
2001-11-13 10:39:52	ga_ls7e_ard_3-1-0_105080_2001-11-13_final
2001-11-29 09:01:28	ga_ls7e_ard_3-1-0_089081_2001-11-28_final
2002-01-16 10:40:09	ga_ls7e_ard_3-1-0_105080_2002-01-16_final
2002-02-08 09:09:35	ga_ls7e_ard_3-1-0_090085_2002-02-07_final
2002-05-20 11:05:14	ga_ls7e_ard_3-1-0_109081_2002-05-20_final
2002-09-23 09:34:34	ga_ls7e_ard_3-1-0_095073_2002-09-23_final
2003-01-19 09:01:23	ga_ls7e_ard_3-1-0_089081_2003-01-18_final
2003-01-28 10:29:43	ga_ls7e_ard_3-1-0_104070_2003-01-28_final
2003-03-08 09:01:39	ga_ls7e_ard_3-1-0_089081_2003-03-07_final
2003-03-08 10:40:08	ga_ls7e_ard_3-1-0_105080_2003-03-08_final
2004-03-10 09:02:08	ga_ls7e_ard_3-1-0_089081_2004-03-09_final
2004-12-23 10:40:41	ga_ls7e_ard_3-1-0_105080_2004-12-23_final
2005-03-02 10:56:02	ga_ls7e_ard_3-1-0_108071_2005-03-02_final
2005-08-09 10:57:18	ga_ls7e_ard_3-1-0_108075_2005-08-09_final
2005-09-28 10:44:39	ga_ls7e_ard_3-1-0_106075_2005-09-28_final
2005-12-26 10:41:05	ga_ls7e_ard_3-1-0_105080_2005-12-26_final
2006-02-10 09:10:08	ga_ls7e_ard_3-1-0_091068_2006-02-09_final
2006-03-07 10:45:41	ga_ls7e_ard_3-1-0_106075_2006-03-07_final
2006-07-10 10:17:42	ga_ls7e_ard_3-1-0_101083_2006-07-10_final
2006-10-31 11:00:28	ga_ls7e_ard_3-1-0_108082_2006-10-31_final
2006-12-29 10:41:36	ga_ls7e_ard_3-1-0_105080_2006-12-29_final
2007-03-20 11:26:47	ga_ls7e_ard_3-1-0_112084_2007-03-20_final
2007-04-09 10:58:28	ga_ls7e_ard_3-1-0_108075_2007-04-09_final
2007-06-12 10:58:12	ga_ls7e_ard_3-1-0_108075_2007-06-12_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2009-07-19 10:58:15	ga_ls7e_ard_3-1-0_108075_2009-07-19_final
2009-12-24 11:10:16	ga_ls7e_ard_3-1-0_110072_2009-12-24_final
2010-10-28 09:13:11	ga_ls7e_ard_3-1-0_090085_2010-10-27_final
2010-11-25 11:11:57	ga_ls7e_ard_3-1-0_110072_2010-11-25_final
2011-04-16 09:51:47	ga_ls7e_ard_3-1-0_096086_2011-04-16_final
2011-05-02 09:51:47	ga_ls7e_ard_3-1-0_096086_2011-05-02_final
2012-11-27 09:08:54	ga_ls7e_ard_3-1-0_089081_2012-11-26_final
2015-10-31 11:16:58	ga_ls7e_ard_3-1-0_109081_2015-10-31_final
2016-02-04 11:18:21	ga_ls7e_ard_3-1-0_109081_2016-02-04_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2017-08-26 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-26_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2019-02-16 10:45:36	ga_ls7e_ard_3-1-0_105081_2019-02-16_final
2019-02-21 11:01:12	ga_ls7e_ard_3-1-0_108074_2019-02-21_final
2019-02-23 10:46:23	ga_ls7e_ard_3-1-0_106068_2019-02-23_final
2019-02-28 09:29:28	ga_ls7e_ard_3-1-0_093077_2019-02-27_final
2019-02-28 11:10:45	ga_ls7e_ard_3-1-0_109083_2019-02-28_final
2019-03-03 09:56:41	ga_ls7e_ard_3-1-0_098068_2019-03-03_final
2019-05-01 09:40:53	ga_ls7e_ard_3-1-0_095080_2019-05-01_final
2019-09-03 10:45:11	ga_ls7e_ard_3-1-0_106083_2019-09-03_final
2019-09-23 10:18:47	ga_ls7e_ard_3-1-0_102081_2019-09-23_final
2019-10-11 10:02:05	ga_ls7e_ard_3-1-0_100072_2019-10-11_final
2019-10-21 10:40:44	ga_ls7e_ard_3-1-0_106077_2019-10-21_final
2019-10-27 10:01:24	ga_ls7e_ard_3-1-0_100072_2019-10-27_final
2019-10-28 09:07:44	ga_ls7e_ard_3-1-0_091077_2019-10-27_final
2019-10-31 09:40:06	ga_ls7e_ard_3-1-0_096081_2019-10-31_final
2019-11-09 09:34:18	ga_ls7e_ard_3-1-0_095083_2019-11-09_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-20 09:16:51	ga_ls7e_ard_3-1-0_092087_2019-11-19_final
2019-11-20 10:52:32	ga_ls7e_ard_3-1-0_108079_2019-11-20_final
2019-11-30 09:47:04	ga_ls7e_ard_3-1-0_098071_2019-11-30_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2019-12-23 09:50:30	ga_ls7e_ard_3-1-0_099067_2019-12-23_final
2019-12-25 11:16:55	ga_ls7e_ard_3-1-0_113067_2019-12-25_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2019-12-27 09:25:34	ga_ls7e_ard_3-1-0_095067_2019-12-26_final
2019-12-31 09:07:49	ga_ls7e_ard_3-1-0_091085_2019-12-30_final
2020-01-17 09:47:02	ga_ls7e_ard_3-1-0_098077_2020-01-17_final
2020-01-23 10:50:08	ga_ls7e_ard_3-1-0_108081_2020-01-23_final
2020-01-29 10:12:45	ga_ls7e_ard_3-1-0_102081_2020-01-29_final
2020-02-06 10:57:24	ga_ls7e_ard_3-1-0_110070_2020-02-06_final
2020-02-16 10:00:16	ga_ls7e_ard_3-1-0_100083_2020-02-16_final
2020-02-16 10:00:40	ga_ls7e_ard_3-1-0_100084_2020-02-16_final
2020-02-20 11:14:13	ga_ls7e_ard_3-1-0_112083_2020-02-20_final
2020-03-07 11:13:22	ga_ls7e_ard_3-1-0_112083_2020-03-07_final
2020-03-20 10:36:34	ga_ls7e_ard_3-1-0_107070_2020-03-20_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2021-03-11 09:52:25	ga_ls7e_ard_3-2-0_103080_2021-03-11_final
2021-03-14 10:20:17	ga_ls7e_ard_3-2-0_108073_2021-03-14_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-03-25 08:25:11	ga_ls7e_ard_3-2-0_089081_2021-03-24_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-03-31 09:26:05	ga_ls7e_ard_3-2-0_099080_2021-03-30_final
2021-04-23 09:28:45	ga_ls7e_ard_3-2-0_100076_2021-04-22_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-02 08:37:31	ga_ls7e_ard_3-2-0_092080_2021-06-01_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-07-27 10:17:11	ga_ls7e_ard_3-2-0_109078_2021-07-27_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-07-30 09:08:32	ga_ls7e_ard_3-2-0_098077_2021-07-29_final
2021-08-11 09:28:36	ga_ls7e_ard_3-2-0_102068_2021-08-10_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_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