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
1999-08-19 11:39:27	ga_ls7e_ard_3-0-0_114079_1999-08-19_final
1999-09-27 11:43:48	ga_ls7e_ard_3-0-0_115074_1999-09-27_final
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
1999-10-22 11:39:51	ga_ls7e_ard_3-0-0_114080_1999-10-22_final
1999-11-23 11:39:48	ga_ls7e_ard_3-0-0_114080_1999-11-23_final
1999-12-16 11:43:46	ga_ls7e_ard_3-0-0_115074_1999-12-16_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-02-25 11:51:13	ga_ls7e_ard_3-0-0_116078_2000-02-25_final
2000-06-25 11:42:33	ga_ls7e_ard_3-0-0_115074_2000-06-25_final
2000-07-11 11:43:30	ga_ls7e_ard_3-1-0_115077_2000-07-11_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-08-05 11:38:09	ga_ls7e_ard_3-0-0_114080_2000-08-05_final
2000-08-21 11:38:03	ga_ls7e_ard_3-0-0_114080_2000-08-21_final
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2000-10-31 11:41:58	ga_ls7e_ard_3-0-0_115076_2000-10-31_final
2001-03-24 11:42:11	ga_ls7e_ard_3-1-0_115077_2001-03-24_final
2001-06-21 11:36:30	ga_ls7e_ard_3-0-0_114080_2001-06-21_final
2001-07-14 11:40:57	ga_ls7e_ard_3-0-0_115076_2001-07-14_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2001-12-21 11:40:41	ga_ls7e_ard_3-1-0_115077_2001-12-21_final
2002-01-06 11:40:42	ga_ls7e_ard_3-0-0_115077_2002-01-06_final
2002-09-19 11:38:34	ga_ls7e_ard_3-0-0_115074_2002-09-19_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2002-10-21 11:38:35	ga_ls7e_ard_3-0-0_115074_2002-10-21_final
2002-10-21 11:39:47	ga_ls7e_ard_3-1-0_115077_2002-10-21_final
2003-03-30 11:41:30	ga_ls7e_ard_3-0-0_115079_2003-03-30_final
2003-08-05 11:41:11	ga_ls7e_ard_3-0-0_115079_2003-08-05_final
2013-09-10 11:42:37	ga_ls7e_ard_3-0-0_114080_2013-09-10_final
2014-08-03 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-03_final
2017-03-13 11:48:23	ga_ls7e_ard_3-0-0_114078_2017-03-13_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2020-11-22 10:30:09	ga_ls7e_ard_3-1-0_108077_2020-11-22_final
2020-12-08 10:28:59	ga_ls7e_ard_3-1-0_108077_2020-12-08_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-18 09:58:27	ga_ls7e_ard_3-2-0_104081_2021-03-18_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-07 09:32:06	ga_ls7e_ard_3-2-0_100081_2021-04-07_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-04-26 08:22:07	ga_ls7e_ard_3-2-0_089080_2021-04-25_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-05-17 08:42:29	ga_ls7e_ard_3-2-0_092089_2021-05-16_final
2021-06-16 08:49:57	ga_ls7e_ard_3-2-0_094083_2021-06-15_final
2021-06-29 09:55:39	ga_ls7e_ard_3-2-0_105080_2021-06-29_final
2021-06-30 09:01:09	ga_ls7e_ard_3-2-0_096083_2021-06-29_final
2021-07-01 09:39:08	ga_ls7e_ard_3-2-0_103070_2021-07-01_final
2021-07-09 08:51:49	ga_ls7e_ard_3-2-0_095077_2021-07-08_final
2021-07-11 08:39:17	ga_ls7e_ard_3-2-0_093077_2021-07-10_final
2021-07-13 08:27:09	ga_ls7e_ard_3-2-0_091078_2021-07-12_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-25 08:50:26	ga_ls7e_ard_3-2-0_095077_2021-07-24_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-01 08:55:36	ga_ls7e_ard_3-2-0_096076_2021-07-31_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-25 09:41:44	ga_ls7e_ard_3-2-0_104073_2021-08-25_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-09-06 08:28:56	ga_ls7e_ard_3-2-0_092079_2021-09-05_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-07 09:09:42	ga_ls7e_ard_3-2-0_099073_2021-09-06_final
2021-09-16 09:05:55	ga_ls7e_ard_3-2-0_098081_2021-09-15_final
2021-09-22 10:08:23	ga_ls7e_ard_3-2-0_108084_2021-09-22_final
2021-10-13 10:18:41	ga_ls7e_ard_3-2-0_111068_2021-10-13_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-06 09:41:43	ga_ls7e_ard_3-2-1_105081_2021-12-06_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-02 09:19:20	ga_ls7e_ard_3-2-1_102078_2022-01-01_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-10 08:28:43	ga_ls7e_ard_3-2-1_094077_2022-01-09_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-01-25 09:19:43	ga_ls7e_ard_3-2-1_103069_2022-01-24_final
2022-01-28 08:15:02	ga_ls7e_ard_3-2-1_092078_2022-01-27_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-13 09:51:53	ga_ls7e_ard_3-2-1_108077_2022-02-13_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-01 09:50:20	ga_ls7e_ard_3-2-1_108077_2022-03-01_final
2022-03-01 09:50:44	ga_ls7e_ard_3-2-1_108078_2022-03-01_final
2022-03-04 08:39:40	ga_ls7e_ard_3-2-1_097071_2022-03-03_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-05 09:24:01	ga_ls7e_ard_3-2-1_104074_2022-03-04_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-17 09:49:07	ga_ls7e_ard_3-2-1_108078_2022-03-17_final
2022-03-22 08:28:19	ga_ls7e_ard_3-2-1_095078_2022-03-21_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_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