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
2001-10-24 09:26:43	ga_ls7e_ard_3-1-0_093083_2001-10-23_final
2002-01-06 10:01:01	ga_ls7e_ard_3-1-0_099075_2002-01-06_final
2002-04-18 09:28:48	ga_ls7e_ard_3-1-0_093087_2002-04-17_final
2003-12-14 10:30:00	ga_ls7e_ard_3-1-0_104070_2003-12-14_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2006-03-28 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-03-28_final
2006-08-03 09:26:55	ga_ls7e_ard_3-1-0_093080_2006-08-02_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2006-11-17 10:04:40	ga_ls7e_ard_3-1-0_099081_2006-11-17_final
2006-12-03 10:01:13	ga_ls7e_ard_3-1-0_099072_2006-12-03_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-07-21 09:29:48	ga_ls7e_ard_3-1-0_093086_2007-07-20_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2011-04-11 09:33:39	ga_ls7e_ard_3-1-0_093087_2011-04-11_final
2011-12-23 09:32:21	ga_ls7e_ard_3-1-0_093083_2011-12-23_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2013-05-18 09:35:54	ga_ls7e_ard_3-1-0_093087_2013-05-18_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2013-08-22 09:33:48	ga_ls7e_ard_3-1-0_093083_2013-08-22_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2016-01-16 10:42:52	ga_ls7e_ard_3-1-0_104070_2016-01-16_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2016-03-04 10:43:13	ga_ls7e_ard_3-1-0_104070_2016-03-04_final
2016-05-23 10:43:40	ga_ls7e_ard_3-1-0_104070_2016-05-23_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2018-01-05 10:43:20	ga_ls7e_ard_3-1-0_104070_2018-01-05_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2019-02-22 10:07:08	ga_ls7e_ard_3-1-0_099078_2019-02-22_final
2019-02-22 10:07:32	ga_ls7e_ard_3-1-0_099079_2019-02-22_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-13 10:38:14	ga_ls7e_ard_3-1-0_104080_2019-03-13_final
2019-03-17 10:11:23	ga_ls7e_ard_3-1-0_100075_2019-03-17_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-05 10:29:57	ga_ls7e_ard_3-1-0_104076_2019-09-05_final
2019-09-05 10:30:45	ga_ls7e_ard_3-1-0_104078_2019-09-05_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-08 09:21:50	ga_ls7e_ard_3-1-0_093076_2019-09-07_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-10 10:49:28	ga_ls7e_ard_3-1-0_107079_2019-09-10_final
2019-09-21 10:30:50	ga_ls7e_ard_3-1-0_104080_2019-09-21_final
2019-09-24 09:22:43	ga_ls7e_ard_3-1-0_093080_2019-09-23_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-23 10:27:53	ga_ls7e_ard_3-1-0_104076_2019-10-23_final
2019-10-23 10:28:41	ga_ls7e_ard_3-1-0_104078_2019-10-23_final
2019-10-26 09:21:23	ga_ls7e_ard_3-1-0_093080_2019-10-25_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-11-08 10:27:35	ga_ls7e_ard_3-1-0_104077_2019-11-08_final
2019-11-12 10:03:52	ga_ls7e_ard_3-1-0_100080_2019-11-12_final
2019-11-13 10:46:17	ga_ls7e_ard_3-1-0_107078_2019-11-13_final
2019-11-27 09:20:18	ga_ls7e_ard_3-1-0_093081_2019-11-26_final
2019-11-27 09:21:30	ga_ls7e_ard_3-1-0_093084_2019-11-26_final
2019-11-29 10:45:32	ga_ls7e_ard_3-1-0_107078_2019-11-29_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-27 10:21:37	ga_ls7e_ard_3-1-0_104072_2020-01-27_final
2020-01-30 09:17:29	ga_ls7e_ard_3-1-0_093082_2020-01-29_final
2020-02-12 10:22:00	ga_ls7e_ard_3-1-0_104075_2020-02-12_final
2020-02-12 10:22:24	ga_ls7e_ard_3-1-0_104076_2020-02-12_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-04 10:37:50	ga_ls7e_ard_3-1-0_107071_2020-03-04_final
2020-03-04 10:40:14	ga_ls7e_ard_3-1-0_107077_2020-03-04_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-15 10:18:42	ga_ls7e_ard_3-1-0_104071_2020-03-15_final
2020-03-15 10:21:06	ga_ls7e_ard_3-1-0_104077_2020-03-15_final
2020-03-15 10:21:30	ga_ls7e_ard_3-1-0_104078_2020-03-15_final
2020-03-28 09:50:16	ga_ls7e_ard_3-1-0_099079_2020-03-28_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-21 10:37:32	ga_ls7e_ard_3-1-0_107077_2020-04-21_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-22 08:29:07	ga_ls7e_ard_3-2-1_095080_2022-03-21_final
2022-03-24 08:16:58	ga_ls7e_ard_3-2-1_093081_2022-03-23_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-24 09:52:39	ga_ls7e_ard_3-2-1_109073_2022-03-24_final
2022-03-26 09:41:18	ga_ls7e_ard_3-2-1_107076_2022-03-26_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_final
2022-03-30 09:14:12	ga_ls7e_ard_3-2-1_103071_2022-03-29_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