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
1999-11-02 09:39:41	ga_ls7e_ard_3-1-0_095073_1999-11-02_final
2000-01-18 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-01-18_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2003-08-20 10:56:21	ga_ls7e_ard_3-1-0_108075_2003-08-20_final
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2004-10-05 09:46:43	ga_ls7e_ard_3-1-0_096086_2004-10-05_final
2004-10-26 11:40:47	ga_ls7e_ard_3-1-0_115077_2004-10-26_final
2006-01-02 09:10:27	ga_ls7e_ard_3-1-0_090085_2006-01-01_final
2006-01-21 09:36:44	ga_ls7e_ard_3-1-0_095073_2006-01-21_final
2007-01-17 11:14:07	ga_ls7e_ard_3-1-0_110084_2007-01-17_final
2007-03-23 10:15:13	ga_ls7e_ard_3-1-0_101075_2007-03-23_final
2007-05-07 09:48:35	ga_ls7e_ard_3-1-0_096086_2007-05-07_final
2007-07-21 09:29:48	ga_ls7e_ard_3-1-0_093086_2007-07-20_final
2007-09-23 09:30:13	ga_ls7e_ard_3-1-0_093088_2007-09-23_final
2009-09-12 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-09-11_final
2010-05-28 09:19:24	ga_ls7e_ard_3-1-0_091086_2010-05-27_final
2010-07-04 11:11:18	ga_ls7e_ard_3-1-0_110072_2010-07-04_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2010-12-18 09:39:50	ga_ls7e_ard_3-1-0_095073_2010-12-18_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-04-09 09:40:26	ga_ls7e_ard_3-1-0_095073_2011-04-09_final
2011-06-16 09:20:51	ga_ls7e_ard_3-1-0_091086_2011-06-15_final
2011-07-26 11:45:29	ga_ls7e_ard_3-1-0_115077_2011-07-26_final
2012-06-10 11:46:22	ga_ls7e_ard_3-1-0_115077_2012-06-10_final
2012-06-16 09:34:27	ga_ls7e_ard_3-1-0_093087_2012-06-16_final
2013-05-18 09:35:54	ga_ls7e_ard_3-1-0_093087_2013-05-18_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2014-01-06 11:04:23	ga_ls7e_ard_3-1-0_108075_2014-01-06_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2014-05-25 09:13:28	ga_ls7e_ard_3-1-0_089089_2014-05-24_final
2014-07-08 09:37:33	ga_ls7e_ard_3-1-0_093087_2014-07-08_final
2014-09-08 11:26:56	ga_ls7e_ard_3-1-0_111082_2014-09-08_final
2015-10-06 11:19:07	ga_ls7e_ard_3-1-0_110072_2015-10-06_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2017-01-16 10:58:31	ga_ls7e_ard_3-1-0_106077_2017-01-16_final
2017-05-15 09:29:45	ga_ls7e_ard_3-1-0_091086_2017-05-14_final
2017-06-28 09:49:27	ga_ls7e_ard_3-1-0_095073_2017-06-28_final
2018-01-22 09:48:40	ga_ls7e_ard_3-1-0_095073_2018-01-22_final
2018-02-28 10:11:07	ga_ls7e_ard_3-1-0_098084_2018-02-28_final
2018-06-28 10:55:02	ga_ls7e_ard_3-1-0_106075_2018-06-28_final
2019-02-18 10:29:35	ga_ls7e_ard_3-1-0_103072_2019-02-18_final
2019-02-22 10:02:45	ga_ls7e_ard_3-1-0_099067_2019-02-22_final
2019-03-07 11:10:19	ga_ls7e_ard_3-1-0_110067_2019-03-07_final
2019-03-13 10:35:27	ga_ls7e_ard_3-1-0_104073_2019-03-13_final
2019-03-20 10:41:47	ga_ls7e_ard_3-1-0_105074_2019-03-20_final
2019-03-25 09:22:05	ga_ls7e_ard_3-1-0_092076_2019-03-24_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2019-06-29 10:57:02	ga_ls7e_ard_3-1-0_108075_2019-06-29_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-09-27 09:55:05	ga_ls7e_ard_3-1-0_098084_2019-09-27_final
2019-10-07 10:27:22	ga_ls7e_ard_3-1-0_104073_2019-10-07_final
2019-10-14 10:34:27	ga_ls7e_ard_3-1-0_105076_2019-10-14_final
2019-10-19 09:18:42	ga_ls7e_ard_3-1-0_092088_2019-10-18_final
2019-10-20 09:58:19	ga_ls7e_ard_3-1-0_099079_2019-10-20_final
2019-10-21 10:39:56	ga_ls7e_ard_3-1-0_106075_2019-10-21_final
2019-10-30 08:58:29	ga_ls7e_ard_3-1-0_089085_2019-10-29_final
2019-10-30 10:33:46	ga_ls7e_ard_3-1-0_105076_2019-10-30_final
2019-10-31 09:36:06	ga_ls7e_ard_3-1-0_096071_2019-10-31_final
2019-11-21 09:57:16	ga_ls7e_ard_3-1-0_099080_2019-11-21_final
2019-11-30 09:45:28	ga_ls7e_ard_3-1-0_098067_2019-11-30_final
2019-11-30 09:51:51	ga_ls7e_ard_3-1-0_098083_2019-11-30_final
2019-12-08 10:37:19	ga_ls7e_ard_3-1-0_106074_2019-12-08_final
2019-12-12 10:12:00	ga_ls7e_ard_3-1-0_102073_2019-12-12_final
2019-12-24 10:34:06	ga_ls7e_ard_3-1-0_106068_2019-12-24_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2020-01-12 11:06:49	ga_ls7e_ard_3-1-0_111075_2020-01-12_final
2020-01-13 10:09:33	ga_ls7e_ard_3-1-0_102071_2020-01-13_final
2020-01-16 09:07:01	ga_ls7e_ard_3-1-0_091085_2020-01-15_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-01-26 11:15:18	ga_ls7e_ard_3-1-0_113067_2020-01-26_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-05 10:13:24	ga_ls7e_ard_3-1-0_103068_2020-02-05_final
2020-02-05 10:13:47	ga_ls7e_ard_3-1-0_103069_2020-02-05_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-02-14 10:12:20	ga_ls7e_ard_3-1-0_102082_2020-02-14_final
2020-03-05 09:42:10	ga_ls7e_ard_3-1-0_098071_2020-03-05_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2020-03-16 09:23:25	ga_ls7e_ard_3-1-0_095072_2020-03-15_final
2020-03-17 10:05:02	ga_ls7e_ard_3-1-0_102068_2020-03-17_final
2020-04-19 10:49:36	ga_ls7e_ard_3-1-0_109076_2020-04-19_final
2020-06-17 10:27:08	ga_ls7e_ard_3-1-0_106075_2020-06-17_final
2020-06-17 10:27:32	ga_ls7e_ard_3-1-0_106076_2020-06-17_final
2020-07-01 09:04:35	ga_ls7e_ard_3-1-0_092087_2020-06-30_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-03-30 08:45:43	ga_ls7e_ard_3-2-0_092087_2021-03-29_final
2021-04-17 10:03:09	ga_ls7e_ard_3-2-0_106068_2021-04-17_final
2021-05-02 09:18:37	ga_ls7e_ard_3-2-0_099068_2021-05-01_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-06-24 09:37:56	ga_ls7e_ard_3-2-0_102081_2021-06-24_final
2021-07-01 09:39:56	ga_ls7e_ard_3-2-0_103072_2021-07-01_final
2021-07-06 09:59:39	ga_ls7e_ard_3-2-0_106076_2021-07-06_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-07-25 10:27:19	ga_ls7e_ard_3-2-0_111072_2021-07-25_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_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