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
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2000-12-05 10:31:32	ga_ls7e_ard_3-1-0_104070_2000-12-05_final
2001-02-26 09:30:46	ga_ls7e_ard_3-1-0_093088_2001-02-26_final
2001-07-17 10:30:34	ga_ls7e_ard_3-1-0_104070_2001-07-17_final
2003-04-05 09:28:46	ga_ls7e_ard_3-1-0_093087_2003-04-04_final
2003-11-16 10:09:29	ga_ls7e_ard_3-1-0_100081_2003-11-16_final
2003-11-28 10:29:54	ga_ls7e_ard_3-1-0_104070_2003-11-28_final
2004-06-07 10:30:19	ga_ls7e_ard_3-1-0_104070_2004-06-07_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2005-12-23 10:10:33	ga_ls7e_ard_3-1-0_100081_2005-12-23_final
2007-04-13 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-04-13_final
2007-05-15 10:31:36	ga_ls7e_ard_3-1-0_104070_2007-05-15_final
2007-12-13 10:11:12	ga_ls7e_ard_3-1-0_100081_2007-12-13_final
2008-03-01 09:27:50	ga_ls7e_ard_3-1-0_093081_2008-02-29_final
2008-04-03 10:11:02	ga_ls7e_ard_3-1-0_100081_2008-04-03_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2009-12-30 10:32:29	ga_ls7e_ard_3-1-0_104070_2009-12-30_final
2010-05-04 10:07:17	ga_ls7e_ard_3-1-0_099082_2010-05-04_final
2011-02-23 10:14:23	ga_ls7e_ard_3-1-0_100081_2011-02-23_final
2011-12-23 09:32:21	ga_ls7e_ard_3-1-0_093083_2011-12-23_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2015-09-14 10:20:49	ga_ls7e_ard_3-1-0_100081_2015-09-14_final
2015-11-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2015-11-01_final
2016-04-18 10:18:36	ga_ls7e_ard_3-1-0_099085_2016-04-18_final
2016-11-15 10:43:46	ga_ls7e_ard_3-1-0_104070_2016-11-15_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2017-08-30 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-30_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2018-02-06 10:42:50	ga_ls7e_ard_3-1-0_104070_2018-02-06_final
2018-03-10 10:42:30	ga_ls7e_ard_3-1-0_104070_2018-03-10_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2018-09-21 09:36:13	ga_ls7e_ard_3-1-0_093083_2018-09-21_final
2019-01-28 10:15:16	ga_ls7e_ard_3-1-0_100081_2019-01-28_final
2019-02-22 10:08:20	ga_ls7e_ard_3-1-0_099081_2019-02-22_final
2019-02-28 09:32:16	ga_ls7e_ard_3-1-0_093084_2019-02-28_final
2019-03-01 10:11:06	ga_ls7e_ard_3-1-0_100073_2019-03-01_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-13 10:34:39	ga_ls7e_ard_3-1-0_104071_2019-03-13_final
2019-03-17 10:10:35	ga_ls7e_ard_3-1-0_100073_2019-03-17_final
2019-03-29 10:36:06	ga_ls7e_ard_3-1-0_104076_2019-03-29_final
2019-04-02 10:13:14	ga_ls7e_ard_3-1-0_100081_2019-04-02_final
2019-05-16 10:31:56	ga_ls7e_ard_3-1-0_104070_2019-05-16_final
2019-08-24 10:05:21	ga_ls7e_ard_3-1-0_100075_2019-08-24_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-18 09:58:28	ga_ls7e_ard_3-1-0_099076_2019-09-18_final
2019-09-25 10:05:56	ga_ls7e_ard_3-1-0_100080_2019-09-25_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-11 10:05:17	ga_ls7e_ard_3-1-0_100080_2019-10-11_final
2019-10-20 09:57:07	ga_ls7e_ard_3-1-0_099076_2019-10-20_final
2019-10-26 09:21:23	ga_ls7e_ard_3-1-0_093080_2019-10-25_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-11-08 10:27:59	ga_ls7e_ard_3-1-0_104078_2019-11-08_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-11 09:22:15	ga_ls7e_ard_3-1-0_093084_2019-11-10_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-27 09:19:06	ga_ls7e_ard_3-1-0_093078_2019-11-26_final
2019-11-29 10:45:08	ga_ls7e_ard_3-1-0_107077_2019-11-29_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2019-12-30 10:01:54	ga_ls7e_ard_3-1-0_100081_2019-12-30_final
2020-01-11 10:22:01	ga_ls7e_ard_3-1-0_104071_2020-01-11_final
2020-01-15 09:58:41	ga_ls7e_ard_3-1-0_100075_2020-01-15_final
2020-02-01 10:42:42	ga_ls7e_ard_3-1-0_107079_2020-02-01_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-15 09:16:16	ga_ls7e_ard_3-1-0_093081_2020-02-14_final
2020-02-16 09:59:52	ga_ls7e_ard_3-1-0_100082_2020-02-16_final
2020-02-25 09:52:49	ga_ls7e_ard_3-1-0_099081_2020-02-25_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-03-12 09:49:34	ga_ls7e_ard_3-1-0_099075_2020-03-12_final
2020-03-15 10:21:30	ga_ls7e_ard_3-1-0_104078_2020-03-15_final
2020-03-20 10:37:22	ga_ls7e_ard_3-1-0_107072_2020-03-20_final
2020-04-03 09:12:27	ga_ls7e_ard_3-1-0_093078_2020-04-02_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2020-04-20 09:53:32	ga_ls7e_ard_3-1-0_100075_2020-04-20_final
2020-04-21 10:38:20	ga_ls7e_ard_3-1-0_107079_2020-04-21_final
2020-04-25 10:09:23	ga_ls7e_ard_3-1-0_103069_2020-04-25_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-14 09:17:44	ga_ls7e_ard_3-2-1_103076_2022-03-13_final
2022-03-15 08:21:37	ga_ls7e_ard_3-2-1_094075_2022-03-14_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_final
2022-04-02 09:45:13	ga_ls7e_ard_3-2-1_108072_2022-04-02_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_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