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
2000-08-12 11:43:05	ga_ls7e_ard_3-1-0_115077_2000-08-12_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2000-10-31 11:41:34	ga_ls7e_ard_3-0-0_115075_2000-10-31_final
2002-07-17 11:40:20	ga_ls7e_ard_3-0-0_115077_2002-07-17_final
2005-01-14 11:41:00	ga_ls7e_ard_3-0-0_115076_2005-01-14_final
2005-03-03 11:41:17	ga_ls7e_ard_3-0-0_115076_2005-03-03_final
2005-09-11 11:41:06	ga_ls7e_ard_3-1-0_115077_2005-09-11_final
2006-05-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-25_final
2006-05-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-25_final
2006-06-10 11:40:50	ga_ls7e_ard_3-0-0_115074_2006-06-10_final
2007-02-05 11:43:10	ga_ls7e_ard_3-0-0_115079_2007-02-05_final
2007-09-17 11:40:37	ga_ls7e_ard_3-0-0_115074_2007-09-17_final
2008-05-30 11:42:17	ga_ls7e_ard_3-0-0_115078_2008-05-30_final
2009-01-02 11:36:38	ga_ls7e_ard_3-0-0_114080_2009-01-02_final
2009-06-02 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-06-02_final
2010-02-13 11:44:17	ga_ls7e_ard_3-0-0_115078_2010-02-13_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2013-02-21 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-02-21_final
2013-08-16 11:47:42	ga_ls7e_ard_3-0-0_115078_2013-08-16_final
2013-09-17 11:48:04	ga_ls7e_ard_3-0-0_115078_2013-09-17_final
2014-08-03 11:50:03	ga_ls7e_ard_3-0-0_115078_2014-08-03_final
2014-08-19 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-08-19_final
2014-12-09 11:50:00	ga_ls7e_ard_3-0-0_115076_2014-12-09_final
2015-08-22 11:51:51	ga_ls7e_ard_3-1-0_115077_2015-08-22_final
2015-12-12 11:51:56	ga_ls7e_ard_3-0-0_115074_2015-12-12_final
2016-10-11 11:55:09	ga_ls7e_ard_3-0-0_115078_2016-10-11_final
2016-12-23 11:49:24	ga_ls7e_ard_3-0-0_114080_2016-12-23_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2018-05-26 11:51:16	ga_ls7e_ard_3-0-0_115075_2018-05-26_final
2018-12-04 11:47:14	ga_ls7e_ard_3-0-0_115075_2018-12-04_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2019-10-04 11:36:16	ga_ls7e_ard_3-1-0_115075_2019-10-04_final
2019-11-05 11:34:54	ga_ls7e_ard_3-1-0_115075_2019-11-05_final
2020-06-16 11:24:01	ga_ls7e_ard_3-1-0_115078_2020-06-16_final
2020-11-22 08:55:16	ga_ls7e_ard_3-1-0_092087_2020-11-21_final
2020-11-28 09:52:38	ga_ls7e_ard_3-1-0_102077_2020-11-28_final
2020-12-02 11:05:43	ga_ls7e_ard_3-1-0_114075_2020-12-02_final
2020-12-08 08:52:54	ga_ls7e_ard_3-1-0_092084_2020-12-07_final
2020-12-18 11:04:54	ga_ls7e_ard_3-1-0_114076_2020-12-18_final
2020-12-24 10:24:59	ga_ls7e_ard_3-1-0_108070_2020-12-24_final
2020-12-26 10:15:17	ga_ls7e_ard_3-1-0_106077_2020-12-26_final
2020-12-27 11:00:28	ga_ls7e_ard_3-1-0_113082_2020-12-27_final
2021-01-13 10:01:16	ga_ls7e_ard_3-1-0_104076_2021-01-13_final
2021-01-16 08:53:29	ga_ls7e_ard_3-1-0_093077_2021-01-15_final
2021-01-27 10:12:37	ga_ls7e_ard_3-2-0_106076_2021-01-27_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-03 08:43:00	ga_ls7e_ard_3-2-0_091085_2021-02-02_final
2021-02-03 10:15:54	ga_ls7e_ard_3-2-0_107070_2021-02-03_final
2021-02-14 09:59:20	ga_ls7e_ard_3-2-0_104077_2021-02-14_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-03-23 10:12:35	ga_ls7e_ard_3-2-0_107071_2021-03-23_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-06-12 09:14:59	ga_ls7e_ard_3-2-0_098083_2021-06-11_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-07-07 10:45:13	ga_ls7e_ard_3-2-0_113082_2021-07-07_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-20 08:34:19	ga_ls7e_ard_3-2-0_092082_2021-07-19_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-23 08:59:47	ga_ls7e_ard_3-2-0_097069_2021-07-22_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2021-08-26 10:24:30	ga_ls7e_ard_3-2-0_111072_2021-08-26_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-10-06 08:41:01	ga_ls7e_ard_3-2-0_094085_2021-10-05_final
2021-10-07 09:23:24	ga_ls7e_ard_3-2-0_101083_2021-10-06_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-10-19 08:06:10	ga_ls7e_ard_3-2-0_089078_2021-10-18_final
2021-10-21 09:28:31	ga_ls7e_ard_3-2-0_103068_2021-10-20_final
2021-10-25 10:45:06	ga_ls7e_ard_3-2-0_115075_2021-10-25_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-16 10:04:20	ga_ls7e_ard_3-2-1_109071_2021-11-16_final
2021-11-19 08:59:16	ga_ls7e_ard_3-2-1_098079_2021-11-18_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-12-01 09:22:03	ga_ls7e_ard_3-2-1_102077_2021-11-30_final
2021-12-17 09:18:32	ga_ls7e_ard_3-2-1_102072_2021-12-16_final
2021-12-18 10:01:17	ga_ls7e_ard_3-2-1_109071_2021-12-18_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-28 09:01:42	ga_ls7e_ard_3-2-1_099079_2021-12-27_final
2022-01-11 09:10:17	ga_ls7e_ard_3-2-1_101073_2022-01-10_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-02-07 08:50:42	ga_ls7e_ard_3-2-1_098077_2022-02-06_final
2022-02-08 07:55:47	ga_ls7e_ard_3-2-1_089079_2022-02-07_final
2022-02-12 09:06:20	ga_ls7e_ard_3-2-1_101071_2022-02-11_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-02-18 10:08:43	ga_ls7e_ard_3-2-1_111074_2022-02-18_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-11 10:27:37	ga_ls7e_ard_3-2-1_114080_2022-03-11_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 09:49:36	ga_ls7e_ard_3-2-1_108083_2022-04-02_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