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
1999-10-29 11:44:05	ga_ls7e_ard_3-0-0_115075_1999-10-29_final
2002-02-07 11:40:05	ga_ls7e_ard_3-0-0_115075_2002-02-07_final
2003-05-12 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-05-12_final
2003-11-09 11:39:41	ga_ls7e_ard_3-0-0_115075_2003-11-09_final
2004-01-28 11:41:04	ga_ls7e_ard_3-1-0_115077_2004-01-28_final
2004-02-13 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-02-13_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-02-29 11:40:20	ga_ls7e_ard_3-0-0_115075_2004-02-29_final
2004-10-30 11:15:19	ga_ls7e_ard_3-0-0_111075_2004-10-30_final
2004-12-17 11:15:18	ga_ls7e_ard_3-0-0_111074_2004-12-17_final
2004-12-24 11:25:33	ga_ls7e_ard_3-1-0_112084_2004-12-24_final
2005-06-16 11:35:40	ga_ls7e_ard_3-0-0_114078_2005-06-16_final
2005-09-11 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-09-11_final
2006-03-22 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-03-22_final
2006-11-05 11:15:53	ga_ls7e_ard_3-0-0_111074_2006-11-05_final
2006-12-23 11:16:17	ga_ls7e_ard_3-0-0_111074_2006-12-23_final
2006-12-30 11:22:29	ga_ls7e_ard_3-0-0_112074_2006-12-30_final
2007-11-04 11:41:13	ga_ls7e_ard_3-0-0_115075_2007-11-04_final
2008-01-11 11:16:26	ga_ls7e_ard_3-0-0_111074_2008-01-11_final
2008-02-10 11:28:45	ga_ls7e_ard_3-0-0_113074_2008-02-10_final
2008-06-19 11:16:59	ga_ls7e_ard_3-0-0_111077_2008-06-19_final
2008-08-29 11:21:19	ga_ls7e_ard_3-0-0_112074_2008-08-29_final
2008-09-21 11:27:18	ga_ls7e_ard_3-0-0_113074_2008-09-21_final
2008-11-06 11:39:50	ga_ls7e_ard_3-0-0_115074_2008-11-06_final
2011-05-07 11:46:01	ga_ls7e_ard_3-0-0_115078_2011-05-07_final
2011-06-19 11:25:50	ga_ls7e_ard_3-0-0_112074_2011-06-19_final
2011-07-28 11:34:19	ga_ls7e_ard_3-0-0_113080_2011-07-28_final
2011-08-04 11:38:04	ga_ls7e_ard_3-0-0_114074_2011-08-04_final
2011-10-23 11:39:10	ga_ls7e_ard_3-0-0_114077_2011-10-23_final
2013-03-20 11:31:57	ga_ls7e_ard_3-0-0_112083_2013-03-20_final
2013-04-14 11:21:17	ga_ls7e_ard_3-0-0_111072_2013-04-14_final
2013-11-24 11:21:55	ga_ls7e_ard_3-0-0_111073_2013-11-24_final
2014-01-23 11:49:32	ga_ls7e_ard_3-0-0_115079_2014-01-23_final
2014-03-14 11:35:18	ga_ls7e_ard_3-0-0_113074_2014-03-14_final
2014-12-09 11:50:47	ga_ls7e_ard_3-0-0_115078_2014-12-09_final
2015-01-21 11:30:49	ga_ls7e_ard_3-0-0_112074_2015-01-21_final
2015-03-24 11:40:52	ga_ls7e_ard_3-0-0_114067_2015-03-24_final
2015-05-29 11:31:45	ga_ls7e_ard_3-1-0_112074_2015-05-29_final
2015-08-26 11:29:31	ga_ls7e_ard_3-0-0_111083_2015-08-26_final
2016-03-21 11:27:25	ga_ls7e_ard_3-0-0_111072_2016-03-21_final
2016-12-09 11:37:56	ga_ls7e_ard_3-0-0_112082_2016-12-09_final
2017-05-27 11:29:01	ga_ls7e_ard_3-0-0_111075_2017-05-27_final
2018-03-16 11:48:13	ga_ls7e_ard_3-0-0_114080_2018-03-16_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2019-02-10 11:19:16	ga_ls7e_ard_3-0-0_111072_2019-02-10_final
2019-08-01 11:39:00	ga_ls7e_ard_3-0-0_115075_2019-08-01_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-05-01 11:12:49	ga_ls7e_ard_3-1-0_113074_2020-05-01_final
2020-05-03 11:00:20	ga_ls7e_ard_3-1-0_111074_2020-05-03_final
2020-06-02 11:12:04	ga_ls7e_ard_3-1-0_113077_2020-06-02_final
2020-10-26 10:48:33	ga_ls7e_ard_3-1-0_111072_2020-10-26_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2020-12-25 09:32:53	ga_ls7e_ard_3-1-0_099079_2020-12-25_final
2020-12-29 09:05:54	ga_ls7e_ard_3-1-0_095074_2020-12-28_final
2021-01-03 09:21:18	ga_ls7e_ard_3-1-0_098067_2021-01-02_final
2021-01-09 10:28:16	ga_ls7e_ard_3-1-0_108081_2021-01-09_final
2021-01-10 09:28:59	ga_ls7e_ard_3-1-0_099072_2021-01-09_final
2021-02-20 09:23:24	ga_ls7e_ard_3-2-0_098081_2021-02-19_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-03-09 08:25:16	ga_ls7e_ard_3-2-0_089078_2021-03-08_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-14 09:38:05	ga_ls7e_ard_3-2-0_101082_2021-04-14_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-05-26 10:06:50	ga_ls7e_ard_3-2-0_107070_2021-05-26_final
2021-06-01 09:32:25	ga_ls7e_ard_3-2-0_101078_2021-06-01_final
2021-06-09 08:45:32	ga_ls7e_ard_3-2-0_093086_2021-06-08_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-21 09:16:18	ga_ls7e_ard_3-2-0_099079_2021-07-20_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-09-15 10:01:38	ga_ls7e_ard_3-2-0_107081_2021-09-15_final
2021-09-19 09:36:09	ga_ls7e_ard_3-2-0_103080_2021-09-19_final
2021-10-02 10:41:23	ga_ls7e_ard_3-2-0_114076_2021-10-02_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-10-19 08:06:10	ga_ls7e_ard_3-2-0_089078_2021-10-18_final
2021-10-29 08:44:20	ga_ls7e_ard_3-2-0_095083_2021-10-28_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-03-06 10:07:11	ga_ls7e_ard_3-2-1_111074_2022-03-06_final
2022-03-08 08:20:08	ga_ls7e_ard_3-2-1_093085_2022-03-07_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years