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
1999-08-10 11:44:30	ga_ls7e_ard_3-0-0_115076_1999-08-10_final
2000-03-14 11:39:11	ga_ls7e_ard_3-0-0_114079_2000-03-14_final
2000-04-06 11:45:14	ga_ls7e_ard_3-0-0_115079_2000-04-06_final
2000-08-12 11:43:53	ga_ls7e_ard_3-0-0_115079_2000-08-12_final
2002-02-23 11:41:42	ga_ls7e_ard_3-0-0_115079_2002-02-23_final
2002-03-11 11:39:44	ga_ls7e_ard_3-0-0_115074_2002-03-11_final
2002-07-01 11:39:15	ga_ls7e_ard_3-0-0_115074_2002-07-01_final
2002-09-28 11:33:58	ga_ls7e_ard_3-0-0_114078_2002-09-28_final
2002-10-21 11:38:35	ga_ls7e_ard_3-0-0_115074_2002-10-21_final
2002-10-21 11:40:11	ga_ls7e_ard_3-0-0_115078_2002-10-21_final
2003-03-14 11:39:33	ga_ls7e_ard_3-0-0_115074_2003-03-14_final
2003-05-17 11:41:06	ga_ls7e_ard_3-0-0_115078_2003-05-17_final
2003-12-04 11:34:54	ga_ls7e_ard_3-0-0_114078_2003-12-04_final
2006-04-07 11:42:27	ga_ls7e_ard_3-0-0_115078_2006-04-07_final
2006-12-19 11:41:00	ga_ls7e_ard_3-0-0_115074_2006-12-19_final
2007-09-10 11:36:27	ga_ls7e_ard_3-0-0_114079_2007-09-10_final
2008-08-11 11:35:48	ga_ls7e_ard_3-0-0_114079_2008-08-11_final
2008-10-21 11:41:11	ga_ls7e_ard_3-0-0_115078_2008-10-21_final
2011-08-27 11:45:47	ga_ls7e_ard_3-0-0_115078_2011-08-27_final
2011-11-15 11:45:58	ga_ls7e_ard_3-0-0_115078_2011-11-15_final
2012-04-07 11:46:04	ga_ls7e_ard_3-1-0_115077_2012-04-07_final
2012-12-03 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-12-03_final
2012-12-12 11:42:17	ga_ls7e_ard_3-0-0_114078_2012-12-12_final
2014-04-13 11:49:27	ga_ls7e_ard_3-0-0_115078_2014-04-13_final
2015-08-06 11:50:37	ga_ls7e_ard_3-0-0_115074_2015-08-06_final
2016-01-13 11:54:00	ga_ls7e_ard_3-0-0_115078_2016-01-13_final
2017-05-23 11:53:19	ga_ls7e_ard_3-0-0_115074_2017-05-23_final
2017-09-12 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-12_final
2018-10-17 11:49:33	ga_ls7e_ard_3-0-0_115078_2018-10-17_final
2018-11-27 11:42:50	ga_ls7e_ard_3-0-0_114079_2018-11-27_final
2020-01-17 11:27:07	ga_ls7e_ard_3-1-0_114080_2020-01-17_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2020-11-28 09:50:15	ga_ls7e_ard_3-1-0_102071_2020-11-28_final
2020-11-30 09:40:08	ga_ls7e_ard_3-1-0_100077_2020-11-30_final
2020-12-26 10:17:40	ga_ls7e_ard_3-1-0_106083_2020-12-26_final
2020-12-29 10:44:47	ga_ls7e_ard_3-1-0_111074_2020-12-29_final
2020-12-31 10:31:53	ga_ls7e_ard_3-1-0_109073_2020-12-31_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-05 09:15:11	ga_ls7e_ard_3-1-0_096083_2021-01-04_final
2021-01-14 09:08:46	ga_ls7e_ard_3-1-0_095084_2021-01-13_final
2021-01-18 10:19:51	ga_ls7e_ard_3-1-0_107077_2021-01-18_final
2021-01-26 09:30:38	ga_ls7e_ard_3-2-0_099079_2021-01-26_final
2021-02-02 09:34:18	ga_ls7e_ard_3-2-0_100074_2021-02-02_final
2021-02-03 10:16:42	ga_ls7e_ard_3-2-0_107072_2021-02-03_final
2021-02-28 08:34:32	ga_ls7e_ard_3-2-0_090084_2021-02-27_final
2021-03-07 10:14:40	ga_ls7e_ard_3-2-0_107073_2021-03-07_final
2021-03-14 08:43:00	ga_ls7e_ard_3-2-0_092077_2021-03-13_final
2021-03-19 09:03:56	ga_ls7e_ard_3-2-0_095084_2021-03-18_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-29 10:32:26	ga_ls7e_ard_3-2-0_110082_2021-04-29_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-05-05 09:54:04	ga_ls7e_ard_3-2-0_104080_2021-05-05_final
2021-06-01 09:33:37	ga_ls7e_ard_3-2-0_101081_2021-06-01_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-19 09:15:49	ga_ls7e_ard_3-2-0_099071_2021-06-18_final
2021-07-18 10:19:45	ga_ls7e_ard_3-2-0_110067_2021-07-18_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-15 09:04:43	ga_ls7e_ard_3-2-0_098071_2021-08-14_final
2021-08-17 10:35:51	ga_ls7e_ard_3-2-0_112083_2021-08-17_final
2021-09-03 09:35:34	ga_ls7e_ard_3-2-0_103075_2021-09-03_final
2021-09-05 09:25:50	ga_ls7e_ard_3-2-0_101082_2021-09-04_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-16 09:00:44	ga_ls7e_ard_3-2-0_098068_2021-09-15_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-09-29 10:13:32	ga_ls7e_ard_3-2-0_109083_2021-09-29_final
2021-10-01 08:22:55	ga_ls7e_ard_3-2-0_091085_2021-09-30_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-09 08:25:09	ga_ls7e_ard_3-2-0_092084_2021-11-08_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-11-13 09:33:44	ga_ls7e_ard_3-2-1_104071_2021-11-13_final
2021-11-18 09:51:47	ga_ls7e_ard_3-2-1_107071_2021-11-18_final
2021-11-19 09:00:03	ga_ls7e_ard_3-2-1_098081_2021-11-18_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-20 09:51:08	ga_ls7e_ard_3-2-1_107077_2021-12-20_final
2021-12-24 09:23:37	ga_ls7e_ard_3-2-1_103071_2021-12-23_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-01-07 09:38:10	ga_ls7e_ard_3-2-1_105080_2022-01-07_final
2022-01-07 09:38:34	ga_ls7e_ard_3-2-1_105081_2022-01-07_final
2022-01-14 09:41:18	ga_ls7e_ard_3-2-1_106074_2022-01-14_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-01-17 10:14:19	ga_ls7e_ard_3-2-1_111080_2022-01-17_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-09 08:36:09	ga_ls7e_ard_3-2-1_096072_2022-02-08_final
2022-02-17 09:26:45	ga_ls7e_ard_3-2-1_104077_2022-02-16_final
2022-02-18 08:29:27	ga_ls7e_ard_3-2-1_095073_2022-02-17_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-24 09:53:03	ga_ls7e_ard_3-2-1_109074_2022-03-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years