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
2000-03-11 09:31:00	ga_ls7e_ard_3-1-0_093083_2000-03-11_final
2004-09-08 10:04:36	ga_ls7e_ard_3-1-0_099084_2004-09-08_final
2006-02-24 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-02-24_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2009-01-31 09:29:48	ga_ls7e_ard_3-1-0_093087_2009-01-30_final
2009-03-20 09:29:49	ga_ls7e_ard_3-1-0_093086_2009-03-19_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2010-07-13 09:32:15	ga_ls7e_ard_3-1-0_093087_2010-07-13_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2011-06-14 09:32:01	ga_ls7e_ard_3-1-0_093083_2011-06-14_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2011-12-23 09:33:57	ga_ls7e_ard_3-1-0_093087_2011-12-23_final
2012-01-24 09:32:25	ga_ls7e_ard_3-1-0_093083_2012-01-24_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2013-07-05 09:33:55	ga_ls7e_ard_3-1-0_093083_2013-07-05_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2015-12-04 11:01:08	ga_ls7e_ard_3-1-0_107071_2015-12-04_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-02-22 10:09:08	ga_ls7e_ard_3-1-0_099083_2019-02-22_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-16 09:30:57	ga_ls7e_ard_3-1-0_093082_2019-03-16_final
2019-05-29 10:02:09	ga_ls7e_ard_3-1-0_099074_2019-05-29_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-08-25 10:50:09	ga_ls7e_ard_3-1-0_107079_2019-08-25_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-02 09:58:23	ga_ls7e_ard_3-1-0_099074_2019-09-02_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-18 09:55:17	ga_ls7e_ard_3-1-0_099068_2019-09-18_final
2019-09-24 09:23:07	ga_ls7e_ard_3-1-0_093081_2019-09-23_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-04 09:59:23	ga_ls7e_ard_3-1-0_099080_2019-10-04_final
2019-10-04 09:59:47	ga_ls7e_ard_3-1-0_099081_2019-10-04_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-10 09:22:27	ga_ls7e_ard_3-1-0_093081_2019-10-09_final
2019-10-20 09:58:43	ga_ls7e_ard_3-1-0_099080_2019-10-20_final
2019-10-20 09:59:31	ga_ls7e_ard_3-1-0_099082_2019-10-20_final
2019-10-26 09:20:59	ga_ls7e_ard_3-1-0_093079_2019-10-25_final
2019-10-28 10:48:36	ga_ls7e_ard_3-1-0_107082_2019-10-28_final
2019-11-05 09:55:37	ga_ls7e_ard_3-1-0_099074_2019-11-05_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-12-07 09:51:42	ga_ls7e_ard_3-1-0_099068_2019-12-07_final
2019-12-07 09:56:06	ga_ls7e_ard_3-1-0_099079_2019-12-07_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-13 09:17:31	ga_ls7e_ard_3-1-0_093076_2019-12-12_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-02-17 10:39:05	ga_ls7e_ard_3-1-0_107072_2020-02-17_final
2020-03-02 09:13:01	ga_ls7e_ard_3-1-0_093075_2020-03-01_final
2020-03-02 09:15:01	ga_ls7e_ard_3-1-0_093080_2020-03-01_final
2020-03-02 09:16:13	ga_ls7e_ard_3-1-0_093083_2020-03-01_final
2020-03-20 10:38:10	ga_ls7e_ard_3-1-0_107074_2020-03-20_final
2020-03-28 09:51:04	ga_ls7e_ard_3-1-0_099081_2020-03-28_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2020-04-29 09:47:13	ga_ls7e_ard_3-1-0_099076_2020-04-29_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2022-03-13 10:13:52	ga_ls7e_ard_3-2-1_112077_2022-03-13_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-24 08:15:46	ga_ls7e_ard_3-2-1_093078_2022-03-23_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_final
2022-03-26 09:40:06	ga_ls7e_ard_3-2-1_107073_2022-03-26_final
2022-03-26 09:42:30	ga_ls7e_ard_3-2-1_107079_2022-03-26_final
2022-03-26 09:44:30	ga_ls7e_ard_3-2-1_107084_2022-03-26_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-03-29 08:31:27	ga_ls7e_ard_3-2-1_096072_2022-03-28_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_final
2022-03-29 08:35:50	ga_ls7e_ard_3-2-1_096083_2022-03-28_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-05 08:38:56	ga_ls7e_ard_3-2-1_097077_2022-04-04_final
2022-04-06 09:20:29	ga_ls7e_ard_3-2-1_104073_2022-04-05_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