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
1999-09-25 10:17:39	ga_ls7e_ard_3-1-0_101075_1999-09-25_final
2000-01-02 10:48:23	ga_ls7e_ard_3-1-0_106075_2000-01-02_final
2000-01-18 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-01-18_final
2000-04-23 09:13:00	ga_ls7e_ard_3-1-0_090085_2000-04-22_final
2000-08-27 10:58:54	ga_ls7e_ard_3-1-0_108075_2000-08-27_final
2001-02-17 09:28:39	ga_ls7e_ard_3-1-0_094067_2001-02-16_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2001-07-02 11:18:38	ga_ls7e_ard_3-1-0_111082_2001-07-02_final
2001-11-07 11:17:41	ga_ls7e_ard_3-1-0_111082_2001-11-07_final
2002-02-15 09:16:10	ga_ls7e_ard_3-1-0_091086_2002-02-14_final
2002-04-02 11:05:16	ga_ls7e_ard_3-1-0_109081_2002-04-02_final
2002-06-12 11:07:38	ga_ls7e_ard_3-1-0_110072_2002-06-12_final
2003-11-01 09:13:41	ga_ls7e_ard_3-1-0_091081_2003-10-31_final
2004-05-28 09:57:17	ga_ls7e_ard_3-1-0_098080_2004-05-28_final
2005-08-28 09:49:36	ga_ls7e_ard_3-1-0_097076_2005-08-28_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2006-08-07 10:41:05	ga_ls7e_ard_3-1-0_105080_2006-08-07_final
2008-03-01 09:26:38	ga_ls7e_ard_3-1-0_093078_2008-02-29_final
2010-01-25 09:36:16	ga_ls7e_ard_3-1-0_094083_2010-01-25_final
2011-11-30 11:00:04	ga_ls7e_ard_3-1-0_108071_2011-11-30_final
2012-05-07 10:19:16	ga_ls7e_ard_3-1-0_101075_2012-05-07_final
2012-10-15 09:27:59	ga_ls7e_ard_3-1-0_092083_2012-10-14_final
2012-12-09 09:34:27	ga_ls7e_ard_3-1-0_093083_2012-12-09_final
2014-05-19 11:26:37	ga_ls7e_ard_3-1-0_111082_2014-05-19_final
2015-11-14 11:29:58	ga_ls7e_ard_3-1-0_111082_2015-11-14_final
2016-11-06 09:15:32	ga_ls7e_ard_3-1-0_089081_2016-11-05_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-12-05 11:31:44	ga_ls7e_ard_3-1-0_111082_2017-12-05_final
2018-01-04 10:02:29	ga_ls7e_ard_3-1-0_097076_2018-01-04_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2018-08-28 10:23:00	ga_ls7e_ard_3-1-0_101075_2018-08-28_final
2018-12-18 10:20:19	ga_ls7e_ard_3-1-0_101075_2018-12-18_final
2019-02-23 09:12:17	ga_ls7e_ard_3-1-0_090080_2019-02-22_final
2019-09-10 09:09:47	ga_ls7e_ard_3-1-0_091077_2019-09-09_final
2019-09-10 09:10:35	ga_ls7e_ard_3-1-0_091079_2019-09-09_final
2019-09-10 09:12:35	ga_ls7e_ard_3-1-0_091084_2019-09-09_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-15 09:36:24	ga_ls7e_ard_3-1-0_096070_2019-10-15_final
2019-10-24 11:07:55	ga_ls7e_ard_3-1-0_111068_2019-10-24_final
2019-11-02 09:26:03	ga_ls7e_ard_3-1-0_094077_2019-11-01_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-18 09:28:07	ga_ls7e_ard_3-1-0_094084_2019-11-17_final
2019-11-22 10:41:17	ga_ls7e_ard_3-1-0_106082_2019-11-22_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-30 09:51:27	ga_ls7e_ard_3-1-0_098082_2019-11-30_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2019-12-06 09:14:53	ga_ls7e_ard_3-1-0_092084_2019-12-05_final
2019-12-13 10:58:48	ga_ls7e_ard_3-1-0_109082_2019-12-13_final
2019-12-20 09:24:56	ga_ls7e_ard_3-1-0_094080_2019-12-19_final
2019-12-20 11:04:13	ga_ls7e_ard_3-1-0_110081_2019-12-20_final
2019-12-31 09:05:02	ga_ls7e_ard_3-1-0_091078_2019-12-30_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-03-09 09:15:38	ga_ls7e_ard_3-1-0_094067_2020-03-08_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-29 10:30:41	ga_ls7e_ard_3-1-0_106072_2020-03-29_final
2020-04-02 10:08:08	ga_ls7e_ard_3-1-0_102078_2020-04-02_final
2020-04-06 09:41:35	ga_ls7e_ard_3-1-0_098074_2020-04-06_final
2020-04-15 09:38:28	ga_ls7e_ard_3-1-0_097083_2020-04-15_final
2020-08-09 09:05:58	ga_ls7e_ard_3-1-0_093081_2020-08-08_final
2021-03-18 09:57:15	ga_ls7e_ard_3-2-0_104078_2021-03-18_final
2021-03-26 09:03:58	ga_ls7e_ard_3-2-0_096070_2021-03-25_final
2021-03-27 09:50:44	ga_ls7e_ard_3-2-0_103079_2021-03-27_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-05-20 09:10:20	ga_ls7e_ard_3-2-0_097082_2021-05-19_final
2021-05-29 09:00:35	ga_ls7e_ard_3-2-0_096075_2021-05-28_final
2021-05-29 09:03:23	ga_ls7e_ard_3-2-0_096082_2021-05-28_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-08 09:37:14	ga_ls7e_ard_3-2-0_102076_2021-06-08_final
2021-06-13 08:19:41	ga_ls7e_ard_3-2-0_089084_2021-06-12_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-07-04 10:13:46	ga_ls7e_ard_3-2-0_108080_2021-07-04_final
2021-07-10 09:32:35	ga_ls7e_ard_3-2-0_102071_2021-07-10_final
2021-07-16 10:37:04	ga_ls7e_ard_3-2-0_112079_2021-07-16_final
2021-07-22 09:58:40	ga_ls7e_ard_3-2-0_106077_2021-07-22_final
2021-07-26 09:33:36	ga_ls7e_ard_3-2-0_102077_2021-07-26_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-30 10:01:02	ga_ls7e_ard_3-2-0_107076_2021-08-30_final
2021-09-15 10:00:02	ga_ls7e_ard_3-2-0_107077_2021-09-15_final
2021-09-21 09:21:37	ga_ls7e_ard_3-2-0_101075_2021-09-20_final
2021-10-01 09:57:00	ga_ls7e_ard_3-2-0_107073_2021-10-01_final
2021-10-15 10:10:08	ga_ls7e_ard_3-2-0_109078_2021-10-15_final
2021-10-22 08:37:36	ga_ls7e_ard_3-2-0_094080_2021-10-21_final
2021-10-31 10:08:40	ga_ls7e_ard_3-2-0_109078_2021-10-31_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-29 09:36:11	ga_ls7e_ard_3-2-1_104081_2021-11-29_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-09 08:33:03	ga_ls7e_ard_3-2-1_094080_2021-12-08_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2021-12-31 09:29:06	ga_ls7e_ard_3-2-1_104071_2021-12-30_final
2022-01-15 08:48:47	ga_ls7e_ard_3-2-1_097082_2022-01-14_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-01-15 10:27:40	ga_ls7e_ard_3-2-1_113082_2022-01-15_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-02-06 09:48:01	ga_ls7e_ard_3-2-1_107081_2022-02-06_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-19 09:13:48	ga_ls7e_ard_3-2-1_102076_2022-02-18_final
2022-02-26 09:20:55	ga_ls7e_ard_3-2-1_103080_2022-02-25_final
2022-03-06 10:04:47	ga_ls7e_ard_3-2-1_111068_2022-03-06_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