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
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2006-05-28 10:34:53	ga_ls7e_ard_3-1-0_104079_2006-05-28_final
2006-11-17 10:05:04	ga_ls7e_ard_3-1-0_099082_2006-11-17_final
2007-04-16 09:30:08	ga_ls7e_ard_3-1-0_093086_2007-04-16_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2008-03-01 09:28:14	ga_ls7e_ard_3-1-0_093082_2008-02-29_final
2008-05-17 10:31:12	ga_ls7e_ard_3-1-0_104070_2008-05-17_final
2008-06-15 10:00:04	ga_ls7e_ard_3-1-0_099070_2008-06-15_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2008-12-27 10:30:49	ga_ls7e_ard_3-1-0_104070_2008-12-27_final
2009-12-01 09:30:02	ga_ls7e_ard_3-1-0_093085_2009-12-01_final
2010-02-03 09:31:48	ga_ls7e_ard_3-1-0_093087_2010-02-03_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-05-07 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-05-07_final
2010-06-24 10:33:24	ga_ls7e_ard_3-1-0_104070_2010-06-24_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2011-04-24 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-04-24_final
2013-02-24 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-02-24_final
2013-09-07 09:33:59	ga_ls7e_ard_3-1-0_093083_2013-09-07_final
2013-10-25 09:34:30	ga_ls7e_ard_3-1-0_093083_2013-10-25_final
2014-11-29 09:38:22	ga_ls7e_ard_3-1-0_093087_2014-11-29_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-07-08 10:40:56	ga_ls7e_ard_3-1-0_104070_2015-07-08_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-10-15 09:38:38	ga_ls7e_ard_3-1-0_093083_2015-10-15_final
2015-11-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2015-11-01_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2017-10-05 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-10-05_final
2017-12-20 10:45:32	ga_ls7e_ard_3-1-0_104075_2017-12-20_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-06-14 10:44:33	ga_ls7e_ard_3-1-0_104079_2018-06-14_final
2018-12-07 10:37:11	ga_ls7e_ard_3-1-0_104070_2018-12-07_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-03-01 10:12:18	ga_ls7e_ard_3-1-0_100076_2019-03-01_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-10 10:05:26	ga_ls7e_ard_3-1-0_099075_2019-03-10_final
2019-03-13 10:36:14	ga_ls7e_ard_3-1-0_104075_2019-03-13_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-03-17 10:13:47	ga_ls7e_ard_3-1-0_100081_2019-03-17_final
2019-03-18 10:54:13	ga_ls7e_ard_3-1-0_107074_2019-03-18_final
2019-03-18 10:55:25	ga_ls7e_ard_3-1-0_107077_2019-03-18_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-09-18 09:59:40	ga_ls7e_ard_3-1-0_099079_2019-09-18_final
2019-10-07 10:27:22	ga_ls7e_ard_3-1-0_104073_2019-10-07_final
2019-10-12 10:45:18	ga_ls7e_ard_3-1-0_107072_2019-10-12_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-23 10:26:18	ga_ls7e_ard_3-1-0_104072_2019-10-23_final
2019-10-26 09:18:59	ga_ls7e_ard_3-1-0_093074_2019-10-25_final
2019-10-26 09:22:10	ga_ls7e_ard_3-1-0_093082_2019-10-25_final
2019-11-11 09:19:52	ga_ls7e_ard_3-1-0_093078_2019-11-10_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-13 10:47:53	ga_ls7e_ard_3-1-0_107082_2019-11-13_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-11-27 09:17:31	ga_ls7e_ard_3-1-0_093074_2019-11-26_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-12-07 09:58:05	ga_ls7e_ard_3-1-0_099084_2019-12-07_final
2019-12-10 10:25:15	ga_ls7e_ard_3-1-0_104075_2019-12-10_final
2019-12-13 09:19:31	ga_ls7e_ard_3-1-0_093081_2019-12-12_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-24 09:54:28	ga_ls7e_ard_3-1-0_099081_2020-01-24_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-01-30 09:16:17	ga_ls7e_ard_3-1-0_093079_2020-01-29_final
2020-02-15 09:16:16	ga_ls7e_ard_3-1-0_093081_2020-02-14_final
2020-03-02 09:15:25	ga_ls7e_ard_3-1-0_093081_2020-03-01_final
2020-03-04 10:37:26	ga_ls7e_ard_3-1-0_107070_2020-03-04_final
2020-03-04 10:41:02	ga_ls7e_ard_3-1-0_107079_2020-03-04_final
2020-03-04 10:42:38	ga_ls7e_ard_3-1-0_107083_2020-03-04_final
2020-03-12 09:49:58	ga_ls7e_ard_3-1-0_099076_2020-03-12_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-19 09:57:21	ga_ls7e_ard_3-1-0_100080_2020-03-19_final
2020-03-20 10:39:45	ga_ls7e_ard_3-1-0_107078_2020-03-20_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-03-28 09:49:28	ga_ls7e_ard_3-1-0_099077_2020-03-28_final
2020-04-05 10:36:28	ga_ls7e_ard_3-1-0_107072_2020-04-05_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2020-04-21 10:35:08	ga_ls7e_ard_3-1-0_107071_2020-04-21_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_final
2022-03-26 09:41:42	ga_ls7e_ard_3-2-1_107077_2022-03-26_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_final
2022-04-04 09:32:39	ga_ls7e_ard_3-2-1_106072_2022-04-04_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_2022-04-04_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