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
2006-11-01 10:00:52	ga_ls7e_ard_3-1-0_099072_2006-11-01_final
2006-12-03 10:01:13	ga_ls7e_ard_3-1-0_099072_2006-12-03_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-04-10 10:01:15	ga_ls7e_ard_3-1-0_099071_2007-04-10_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2007-07-21 09:28:36	ga_ls7e_ard_3-1-0_093083_2007-07-20_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2009-07-10 09:28:47	ga_ls7e_ard_3-1-0_093083_2009-07-09_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2009-09-28 09:28:34	ga_ls7e_ard_3-1-0_093083_2009-09-27_final
2010-05-04 10:07:17	ga_ls7e_ard_3-1-0_099082_2010-05-04_final
2010-10-01 09:28:39	ga_ls7e_ard_3-1-0_093078_2010-09-30_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-06-30 09:31:57	ga_ls7e_ard_3-1-0_093083_2011-06-30_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2011-08-17 09:29:50	ga_ls7e_ard_3-1-0_093078_2011-08-16_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2012-03-28 09:32:33	ga_ls7e_ard_3-1-0_093083_2012-03-28_final
2013-02-11 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-02-11_final
2013-09-23 09:35:44	ga_ls7e_ard_3-1-0_093087_2013-09-23_final
2014-08-25 09:36:03	ga_ls7e_ard_3-1-0_093083_2014-08-25_final
2015-08-28 09:38:17	ga_ls7e_ard_3-1-0_093083_2015-08-28_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-02-28 09:31:04	ga_ls7e_ard_3-1-0_093081_2019-02-28_final
2019-03-02 10:57:32	ga_ls7e_ard_3-1-0_107081_2019-03-02_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-04-17 09:29:51	ga_ls7e_ard_3-1-0_093082_2019-04-16_final
2019-08-25 10:46:58	ga_ls7e_ard_3-1-0_107071_2019-08-25_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-08 09:22:38	ga_ls7e_ard_3-1-0_093078_2019-09-07_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-10-12 10:47:18	ga_ls7e_ard_3-1-0_107077_2019-10-12_final
2019-10-20 09:56:19	ga_ls7e_ard_3-1-0_099074_2019-10-20_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-26 09:20:11	ga_ls7e_ard_3-1-0_093077_2019-10-25_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-11-05 09:54:01	ga_ls7e_ard_3-1-0_099070_2019-11-05_final
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-13 10:44:18	ga_ls7e_ard_3-1-0_107073_2019-11-13_final
2019-11-29 10:44:20	ga_ls7e_ard_3-1-0_107075_2019-11-29_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-23 09:52:30	ga_ls7e_ard_3-1-0_099072_2019-12-23_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2020-01-08 09:50:51	ga_ls7e_ard_3-1-0_099070_2020-01-08_final
2020-01-14 09:15:29	ga_ls7e_ard_3-1-0_093075_2020-01-13_final
2020-01-14 09:15:53	ga_ls7e_ard_3-1-0_093076_2020-01-13_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_final
2020-02-09 09:51:40	ga_ls7e_ard_3-1-0_099076_2020-02-09_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-03-02 09:14:37	ga_ls7e_ard_3-1-0_093079_2020-03-01_final
2020-03-04 10:40:14	ga_ls7e_ard_3-1-0_107077_2020-03-04_final
2020-03-12 09:49:58	ga_ls7e_ard_3-1-0_099076_2020-03-12_final
2020-03-20 10:36:58	ga_ls7e_ard_3-1-0_107071_2020-03-20_final
2020-03-20 10:37:46	ga_ls7e_ard_3-1-0_107073_2020-03-20_final
2020-03-28 09:49:28	ga_ls7e_ard_3-1-0_099077_2020-03-28_final
2020-04-03 09:10:51	ga_ls7e_ard_3-1-0_093074_2020-04-02_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-13 09:46:58	ga_ls7e_ard_3-1-0_099073_2020-04-13_final
2020-04-13 09:48:57	ga_ls7e_ard_3-1-0_099078_2020-04-13_final
2020-04-19 09:13:07	ga_ls7e_ard_3-1-0_093082_2020-04-18_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-29 09:46:49	ga_ls7e_ard_3-1-0_099075_2020-04-29_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-17 09:47:08	ga_ls7e_ard_3-2-1_108073_2022-03-17_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_final
2022-03-24 09:52:39	ga_ls7e_ard_3-2-1_109073_2022-03-24_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-27 08:47:59	ga_ls7e_ard_3-2-1_098082_2022-03-26_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-28 09:27:57	ga_ls7e_ard_3-2-1_105074_2022-03-27_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-30 09:13:01	ga_ls7e_ard_3-2-1_103068_2022-03-29_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_final
2022-04-01 09:02:03	ga_ls7e_ard_3-2-1_101072_2022-03-31_final
2022-04-01 09:03:39	ga_ls7e_ard_3-2-1_101076_2022-03-31_final
2022-04-01 09:04:27	ga_ls7e_ard_3-2-1_101078_2022-03-31_final
2022-04-05 08:38:08	ga_ls7e_ard_3-2-1_097075_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