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
2000-03-22 10:48:11	ga_ls7e_ard_3-1-0_106075_2000-03-22_final
2000-06-22 11:10:54	ga_ls7e_ard_3-1-0_110072_2000-06-22_final
2000-08-26 10:15:39	ga_ls7e_ard_3-1-0_101075_2000-08-26_final
2000-12-24 11:02:35	ga_ls7e_ard_3-1-0_109070_2000-12-24_final
2002-02-20 11:07:55	ga_ls7e_ard_3-1-0_110072_2002-02-20_final
2002-04-26 10:13:28	ga_ls7e_ard_3-1-0_101075_2002-04-26_final
2002-10-27 09:27:49	ga_ls7e_ard_3-1-0_093087_2002-10-26_final
2003-11-13 09:35:21	ga_ls7e_ard_3-1-0_095073_2003-11-13_final
2004-04-28 11:25:24	ga_ls7e_ard_3-1-0_112084_2004-04-28_final
2004-07-23 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-07-22_final
2005-02-21 11:06:10	ga_ls7e_ard_3-1-0_109081_2005-02-21_final
2005-08-04 09:02:18	ga_ls7e_ard_3-1-0_089081_2005-08-03_final
2006-03-28 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-03-27_final
2006-03-28 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-03-28_final
2006-08-12 10:56:01	ga_ls7e_ard_3-1-0_108071_2006-08-12_final
2006-12-19 11:42:11	ga_ls7e_ard_3-1-0_115077_2006-12-19_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-01-30 09:04:50	ga_ls7e_ard_3-1-0_089085_2007-01-29_final
2007-02-11 11:06:55	ga_ls7e_ard_3-1-0_109081_2007-02-11_final
2007-03-29 11:19:49	ga_ls7e_ard_3-1-0_111082_2007-03-29_final
2007-11-02 10:14:40	ga_ls7e_ard_3-1-0_101075_2007-11-02_final
2008-04-02 11:06:40	ga_ls7e_ard_3-1-0_109081_2008-04-02_final
2008-11-30 09:16:36	ga_ls7e_ard_3-1-0_091086_2008-11-29_final
2009-01-01 09:12:54	ga_ls7e_ard_3-1-0_091076_2008-12-31_final
2009-02-08 10:14:31	ga_ls7e_ard_3-1-0_101075_2009-02-08_final
2009-03-11 09:28:21	ga_ls7e_ard_3-1-0_094067_2009-03-10_final
2009-09-03 11:09:17	ga_ls7e_ard_3-1-0_110072_2009-09-03_final
2009-12-09 10:15:33	ga_ls7e_ard_3-1-0_101075_2009-12-09_final
2010-04-19 09:12:54	ga_ls7e_ard_3-1-0_090085_2010-04-18_final
2010-07-21 10:16:54	ga_ls7e_ard_3-1-0_101075_2010-07-21_final
2011-01-29 10:18:03	ga_ls7e_ard_3-1-0_101075_2011-01-29_final
2011-08-28 10:48:58	ga_ls7e_ard_3-1-0_106075_2011-08-28_final
2011-10-29 11:01:18	ga_ls7e_ard_3-1-0_108075_2011-10-29_final
2012-05-06 09:32:48	ga_ls7e_ard_3-1-0_094067_2012-05-06_final
2012-10-17 10:51:20	ga_ls7e_ard_3-1-0_106075_2012-10-17_final
2013-04-11 10:51:36	ga_ls7e_ard_3-1-0_106075_2013-04-11_final
2014-05-28 11:16:29	ga_ls7e_ard_3-1-0_110072_2014-05-28_final
2014-09-12 09:24:53	ga_ls7e_ard_3-1-0_091086_2014-09-11_final
2018-07-26 09:43:33	ga_ls7e_ard_3-1-0_094083_2018-07-26_final
2019-03-02 10:56:44	ga_ls7e_ard_3-1-0_107079_2019-03-02_final
2019-03-08 10:17:52	ga_ls7e_ard_3-1-0_101075_2019-03-08_final
2019-03-09 09:25:48	ga_ls7e_ard_3-1-0_092084_2019-03-08_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-16 11:05:27	ga_ls7e_ard_3-1-0_109071_2019-03-16_final
2019-08-27 10:38:31	ga_ls7e_ard_3-1-0_105081_2019-08-27_final
2019-08-31 10:10:02	ga_ls7e_ard_3-1-0_101072_2019-08-31_final
2019-09-03 10:41:36	ga_ls7e_ard_3-1-0_106074_2019-09-03_final
2019-09-24 11:03:12	ga_ls7e_ard_3-1-0_109084_2019-09-24_final
2019-09-26 10:49:09	ga_ls7e_ard_3-1-0_107080_2019-09-26_final
2019-09-28 10:32:19	ga_ls7e_ard_3-1-0_105069_2019-09-28_final
2019-11-13 10:43:06	ga_ls7e_ard_3-1-0_107070_2019-11-13_final
2019-11-16 11:16:39	ga_ls7e_ard_3-1-0_112077_2019-11-16_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-21 09:56:28	ga_ls7e_ard_3-1-0_099078_2019-11-21_final
2019-11-23 11:24:54	ga_ls7e_ard_3-1-0_113083_2019-11-23_final
2019-11-29 09:09:51	ga_ls7e_ard_3-1-0_091086_2019-11-28_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-22 09:14:28	ga_ls7e_ard_3-1-0_092085_2019-12-21_final
2019-12-24 10:38:54	ga_ls7e_ard_3-1-0_106080_2019-12-24_final
2019-12-31 10:44:42	ga_ls7e_ard_3-1-0_107080_2019-12-31_final
2020-01-17 11:27:07	ga_ls7e_ard_3-1-0_114080_2020-01-17_final
2020-01-21 11:01:00	ga_ls7e_ard_3-1-0_110077_2020-01-21_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-03-13 08:57:53	ga_ls7e_ard_3-1-0_090085_2020-03-12_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-04-02 10:06:56	ga_ls7e_ard_3-1-0_102075_2020-04-02_final
2020-04-05 10:36:04	ga_ls7e_ard_3-1-0_107071_2020-04-05_final
2020-04-08 09:29:30	ga_ls7e_ard_3-1-0_096075_2020-04-07_final
2020-04-14 10:33:45	ga_ls7e_ard_3-1-0_106082_2020-04-14_final
2020-04-22 09:39:03	ga_ls7e_ard_3-1-0_098070_2020-04-22_final
2020-04-25 10:12:10	ga_ls7e_ard_3-1-0_103076_2020-04-25_final
2020-05-15 11:24:19	ga_ls7e_ard_3-1-0_115074_2020-05-15_final
2021-02-24 10:37:15	ga_ls7e_ard_3-2-0_110081_2021-02-24_final
2021-03-12 10:36:00	ga_ls7e_ard_3-2-0_110081_2021-03-12_final
2021-04-08 10:11:17	ga_ls7e_ard_3-2-0_107071_2021-04-08_final
2021-04-09 10:57:39	ga_ls7e_ard_3-2-0_114079_2021-04-09_final
2021-04-23 09:31:33	ga_ls7e_ard_3-2-0_100083_2021-04-23_final
2021-04-25 10:55:30	ga_ls7e_ard_3-2-0_114077_2021-04-25_final
2021-04-26 08:22:55	ga_ls7e_ard_3-2-0_089082_2021-04-25_final
2021-04-26 08:24:06	ga_ls7e_ard_3-2-0_089085_2021-04-25_final
2021-05-22 10:32:18	ga_ls7e_ard_3-2-0_111071_2021-05-22_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-07-04 08:36:05	ga_ls7e_ard_3-2-0_092083_2021-07-03_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-21 09:17:06	ga_ls7e_ard_3-2-0_099081_2021-07-20_final
2021-08-03 10:25:08	ga_ls7e_ard_3-2-0_110084_2021-08-03_final
2021-08-07 09:54:05	ga_ls7e_ard_3-2-0_106069_2021-08-07_final
2021-08-19 10:20:31	ga_ls7e_ard_3-2-0_110076_2021-08-19_final
2021-08-30 09:59:03	ga_ls7e_ard_3-2-0_107071_2021-08-30_final
2021-11-14 08:39:37	ga_ls7e_ard_3-2-1_095075_2021-11-13_final
2021-11-23 08:34:33	ga_ls7e_ard_3-2-1_094080_2021-11-22_final
2021-11-27 09:45:56	ga_ls7e_ard_3-2-1_106074_2021-11-27_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-05 08:54:57	ga_ls7e_ard_3-2-1_098072_2021-12-04_final
2021-12-05 10:34:38	ga_ls7e_ard_3-2-1_114074_2021-12-05_final
2021-12-17 09:18:32	ga_ls7e_ard_3-2-1_102072_2021-12-16_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_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