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
2000-01-30 09:33:25	ga_ls7e_ard_3-0-0_094073_2000-01-30_final
2000-04-07 10:51:12	ga_ls7e_ard_3-1-0_106083_2000-04-07_final
2000-06-20 09:45:12	ga_ls7e_ard_3-1-0_096074_2000-06-20_final
2001-11-16 09:29:32	ga_ls7e_ard_3-0-0_094074_2001-11-15_final
2001-12-06 10:44:05	ga_ls7e_ard_3-1-0_106075_2001-12-06_final
2002-02-20 09:33:25	ga_ls7e_ard_3-0-0_094083_2002-02-20_final
2002-05-29 11:00:09	ga_ls7e_ard_3-1-0_108084_2002-05-29_final
2002-09-14 09:46:02	ga_ls7e_ard_3-1-0_096086_2002-09-14_final
2003-08-22 10:44:47	ga_ls7e_ard_3-1-0_106077_2003-08-22_final
2004-10-09 09:17:09	ga_ls7e_ard_3-1-0_092074_2004-10-08_final
2005-12-29 09:35:56	ga_ls7e_ard_3-0-0_094087_2005-12-29_final
2006-06-20 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-06-19_final
2006-08-10 09:30:18	ga_ls7e_ard_3-0-0_094073_2006-08-10_final
2007-04-07 11:09:38	ga_ls7e_ard_3-1-0_110072_2007-04-07_final
2008-04-13 10:45:43	ga_ls7e_ard_3-1-0_106075_2008-04-13_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2009-05-16 09:22:41	ga_ls7e_ard_3-1-0_092083_2009-05-15_final
2009-08-09 09:36:59	ga_ls7e_ard_3-1-0_095073_2009-08-09_final
2010-03-30 09:38:24	ga_ls7e_ard_3-0-0_094087_2010-03-30_final
2010-05-01 09:38:24	ga_ls7e_ard_3-0-0_094087_2010-05-01_final
2010-05-10 09:29:47	ga_ls7e_ard_3-1-0_093081_2010-05-09_final
2010-05-28 09:17:24	ga_ls7e_ard_3-1-0_091081_2010-05-27_final
2010-12-15 09:13:43	ga_ls7e_ard_3-1-0_090085_2010-12-14_final
2011-05-20 09:38:35	ga_ls7e_ard_3-0-0_094084_2011-05-20_final
2012-07-09 11:13:48	ga_ls7e_ard_3-1-0_110072_2012-07-09_final
2013-10-23 09:42:52	ga_ls7e_ard_3-1-0_095073_2013-10-23_final
2013-12-07 09:17:02	ga_ls7e_ard_3-1-0_090085_2013-12-06_final
2014-10-10 11:24:50	ga_ls7e_ard_3-1-0_111076_2014-10-10_final
2014-11-08 10:53:49	ga_ls7e_ard_3-1-0_106075_2014-11-08_final
2014-12-06 11:17:30	ga_ls7e_ard_3-1-0_110072_2014-12-06_final
2015-01-21 09:56:43	ga_ls7e_ard_3-1-0_096086_2015-01-21_final
2015-10-07 10:24:43	ga_ls7e_ard_3-1-0_101075_2015-10-07_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2016-08-05 09:48:50	ga_ls7e_ard_3-0-0_094087_2016-08-05_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-12-27 09:15:09	ga_ls7e_ard_3-1-0_089081_2017-12-26_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-05-23 09:45:07	ga_ls7e_ard_3-0-0_094084_2018-05-23_final
2018-10-21 11:26:21	ga_ls7e_ard_3-1-0_111082_2018-10-21_final
2018-12-02 10:20:46	ga_ls7e_ard_3-1-0_101075_2018-12-02_final
2018-12-28 09:22:37	ga_ls7e_ard_3-1-0_091086_2018-12-27_final
2019-03-01 10:11:30	ga_ls7e_ard_3-1-0_100074_2019-03-01_final
2019-03-09 09:23:00	ga_ls7e_ard_3-1-0_092077_2019-03-08_final
2019-03-20 09:04:30	ga_ls7e_ard_3-1-0_089078_2019-03-19_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-08 09:25:50	ga_ls7e_ard_3-1-0_093086_2019-09-07_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-10-04 11:36:40	ga_ls7e_ard_3-1-0_115076_2019-10-04_final
2019-10-14 10:34:51	ga_ls7e_ard_3-1-0_105077_2019-10-14_final
2019-11-11 10:55:57	ga_ls7e_ard_3-1-0_109071_2019-11-11_final
2019-11-11 10:56:45	ga_ls7e_ard_3-1-0_109073_2019-11-11_final
2019-11-14 09:51:25	ga_ls7e_ard_3-1-0_098080_2019-11-14_final
2019-12-05 10:10:09	ga_ls7e_ard_3-1-0_101083_2019-12-05_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2019-12-27 11:10:26	ga_ls7e_ard_3-1-0_111082_2019-12-27_final
2020-01-09 10:36:28	ga_ls7e_ard_3-1-0_106076_2020-01-09_final
2020-02-02 09:45:26	ga_ls7e_ard_3-1-0_098075_2020-02-02_final
2020-03-11 09:10:45	ga_ls7e_ard_3-1-0_092086_2020-03-10_final
2020-03-18 09:13:45	ga_ls7e_ard_3-1-0_093079_2020-03-17_final
2020-04-21 08:59:51	ga_ls7e_ard_3-1-0_091080_2020-04-20_final
2020-06-16 09:41:33	ga_ls7e_ard_3-1-0_099069_2020-06-16_final
2020-06-17 08:53:51	ga_ls7e_ard_3-1-0_090089_2020-06-16_final
2020-07-26 08:52:53	ga_ls7e_ard_3-1-0_091077_2020-07-25_final
2020-07-26 10:32:58	ga_ls7e_ard_3-1-0_107080_2020-07-26_final
2020-09-07 10:10:52	ga_ls7e_ard_3-1-0_104078_2020-09-07_final
2021-03-20 09:43:08	ga_ls7e_ard_3-2-0_102074_2021-03-20_final
2021-03-22 09:34:36	ga_ls7e_ard_3-2-0_100084_2021-03-22_final
2021-03-30 08:42:55	ga_ls7e_ard_3-2-0_092080_2021-03-29_final
2021-04-14 09:36:06	ga_ls7e_ard_3-2-0_101077_2021-04-14_final
2021-04-27 09:07:17	ga_ls7e_ard_3-2-0_096085_2021-04-26_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-05-30 09:40:58	ga_ls7e_ard_3-2-0_103068_2021-05-30_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-07-04 10:12:10	ga_ls7e_ard_3-2-0_108076_2021-07-04_final
2021-07-06 09:58:51	ga_ls7e_ard_3-2-0_106074_2021-07-06_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-08-28 10:11:35	ga_ls7e_ard_3-2-0_109071_2021-08-28_final
2021-09-04 10:16:45	ga_ls7e_ard_3-2-0_110070_2021-09-04_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-26 09:03:34	ga_ls7e_ard_3-2-1_099076_2021-11-25_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2021-12-10 09:13:01	ga_ls7e_ard_3-2-1_101072_2021-12-09_final
2021-12-12 10:40:33	ga_ls7e_ard_3-2-1_115075_2021-12-12_final
2021-12-14 10:28:00	ga_ls7e_ard_3-2-1_113075_2021-12-14_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-15 08:47:11	ga_ls7e_ard_3-2-1_097078_2022-01-14_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-19 09:11:49	ga_ls7e_ard_3-2-1_102071_2022-02-18_final
2022-03-04 08:39:16	ga_ls7e_ard_3-2-1_097070_2022-03-03_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_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