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
2002-12-30 09:28:23	ga_ls7e_ard_3-1-0_093087_2002-12-29_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2004-07-25 10:30:08	ga_ls7e_ard_3-1-0_104070_2004-07-25_final
2005-04-23 10:34:22	ga_ls7e_ard_3-1-0_104079_2005-04-23_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-06-13 09:29:53	ga_ls7e_ard_3-1-0_093088_2005-06-12_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2006-03-25 10:31:19	ga_ls7e_ard_3-1-0_104070_2006-03-25_final
2006-05-12 10:31:18	ga_ls7e_ard_3-1-0_104070_2006-05-12_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2007-01-07 10:31:27	ga_ls7e_ard_3-1-0_104070_2007-01-07_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2008-08-08 09:29:14	ga_ls7e_ard_3-1-0_093087_2008-08-07_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2009-01-31 09:29:48	ga_ls7e_ard_3-1-0_093087_2009-01-30_final
2009-11-15 09:29:50	ga_ls7e_ard_3-1-0_093085_2009-11-14_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-08-14 09:29:51	ga_ls7e_ard_3-1-0_093081_2010-08-13_final
2010-10-01 09:29:03	ga_ls7e_ard_3-1-0_093079_2010-09-30_final
2010-10-14 10:33:36	ga_ls7e_ard_3-1-0_104070_2010-10-14_final
2010-10-17 09:32:26	ga_ls7e_ard_3-1-0_093087_2010-10-17_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-08-14 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-08-14_final
2011-10-04 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-10-04_final
2012-03-25 10:35:21	ga_ls7e_ard_3-1-0_104070_2012-03-25_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-05-31 10:36:59	ga_ls7e_ard_3-1-0_104070_2013-05-31_final
2014-03-31 10:38:12	ga_ls7e_ard_3-1-0_104070_2014-03-31_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2015-06-06 10:40:47	ga_ls7e_ard_3-1-0_104070_2015-06-06_final
2015-08-25 10:41:04	ga_ls7e_ard_3-1-0_104070_2015-08-25_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2017-08-14 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-14_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
2018-04-11 10:45:38	ga_ls7e_ard_3-1-0_104079_2018-04-11_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2018-08-17 10:43:21	ga_ls7e_ard_3-1-0_104079_2018-08-17_final
2019-02-22 10:09:08	ga_ls7e_ard_3-1-0_099083_2019-02-22_final
2019-02-25 10:36:45	ga_ls7e_ard_3-1-0_104075_2019-02-25_final
2019-02-28 09:31:28	ga_ls7e_ard_3-1-0_093082_2019-02-28_final
2019-03-02 10:55:32	ga_ls7e_ard_3-1-0_107076_2019-03-02_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-13 10:35:50	ga_ls7e_ard_3-1-0_104074_2019-03-13_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-03-29 10:36:30	ga_ls7e_ard_3-1-0_104077_2019-03-29_final
2019-08-25 10:48:58	ga_ls7e_ard_3-1-0_107076_2019-08-25_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
2019-09-10 10:50:16	ga_ls7e_ard_3-1-0_107081_2019-09-10_final
2019-09-18 09:58:04	ga_ls7e_ard_3-1-0_099075_2019-09-18_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-28 10:44:37	ga_ls7e_ard_3-1-0_107072_2019-10-28_final
2019-10-28 10:46:37	ga_ls7e_ard_3-1-0_107077_2019-10-28_final
2019-11-05 09:54:49	ga_ls7e_ard_3-1-0_099072_2019-11-05_final
2019-11-13 10:47:53	ga_ls7e_ard_3-1-0_107082_2019-11-13_final
2019-11-27 09:19:06	ga_ls7e_ard_3-1-0_093078_2019-11-26_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-02-12 10:23:36	ga_ls7e_ard_3-1-0_104079_2020-02-12_final
2020-02-15 09:16:16	ga_ls7e_ard_3-1-0_093081_2020-02-14_final
2020-02-17 10:39:05	ga_ls7e_ard_3-1-0_107072_2020-02-17_final
2020-03-04 10:42:38	ga_ls7e_ard_3-1-0_107083_2020-03-04_final
2020-03-18 09:15:21	ga_ls7e_ard_3-1-0_093083_2020-03-17_final
2020-03-20 10:37:22	ga_ls7e_ard_3-1-0_107072_2020-03-20_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-13 09:46:58	ga_ls7e_ard_3-1-0_099073_2020-04-13_final
2020-04-13 09:49:45	ga_ls7e_ard_3-1-0_099080_2020-04-13_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-21 09:21:38	ga_ls7e_ard_3-2-1_104072_2022-03-20_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-26 08:06:49	ga_ls7e_ard_3-2-1_091087_2022-03-25_final
2022-03-26 09:39:18	ga_ls7e_ard_3-2-1_107071_2022-03-26_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-03-31 08:22:05	ga_ls7e_ard_3-2-1_094080_2022-03-30_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_final
2022-04-04 09:32:39	ga_ls7e_ard_3-2-1_106072_2022-04-04_final
2022-04-05 08:40:31	ga_ls7e_ard_3-2-1_097081_2022-04-04_final
2022-04-05 10:18:36	ga_ls7e_ard_3-2-1_113079_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