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
2000-03-21 11:43:49	ga_ls7e_ard_3-0-0_115075_2000-03-21_final
2000-10-15 11:40:54	ga_ls7e_ard_3-0-0_115074_2000-10-15_final
2002-04-28 11:40:25	ga_ls7e_ard_3-0-0_115076_2002-04-28_final
2002-05-14 11:39:56	ga_ls7e_ard_3-0-0_115075_2002-05-14_final
2005-05-15 11:36:14	ga_ls7e_ard_3-0-0_114079_2005-05-15_final
2005-08-10 11:41:22	ga_ls7e_ard_3-1-0_115077_2005-08-10_final
2005-12-09 11:36:14	ga_ls7e_ard_3-0-0_114079_2005-12-09_final
2009-02-03 11:36:48	ga_ls7e_ard_3-0-0_114080_2009-02-03_final
2009-07-29 11:37:40	ga_ls7e_ard_3-0-0_114081_2009-07-29_final
2009-11-09 11:41:44	ga_ls7e_ard_3-0-0_115075_2009-11-09_final
2009-12-27 11:42:49	ga_ls7e_ard_3-0-0_115076_2009-12-27_final
2010-01-28 11:43:18	ga_ls7e_ard_3-0-0_115076_2010-01-28_final
2010-06-05 11:42:56	ga_ls7e_ard_3-0-0_115074_2010-06-05_final
2010-07-07 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-07-07_final
2010-09-25 11:44:17	ga_ls7e_ard_3-0-0_115077_2010-09-25_final
2012-02-19 11:44:57	ga_ls7e_ard_3-0-0_115074_2012-02-19_final
2013-01-29 11:42:50	ga_ls7e_ard_3-0-0_114079_2013-01-29_final
2014-06-16 11:49:48	ga_ls7e_ard_3-0-0_115078_2014-06-16_final
2016-04-18 11:53:30	ga_ls7e_ard_3-0-0_115075_2016-04-18_final
2016-04-18 11:54:42	ga_ls7e_ard_3-0-0_115078_2016-04-18_final
2016-11-12 11:53:46	ga_ls7e_ard_3-0-0_115075_2016-11-12_final
2017-01-31 11:54:01	ga_ls7e_ard_3-1-0_115077_2017-01-31_final
2018-03-23 11:51:54	ga_ls7e_ard_3-0-0_115074_2018-03-23_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2018-10-10 11:43:33	ga_ls7e_ard_3-0-0_114078_2018-10-10_final
2019-08-01 11:40:36	ga_ls7e_ard_3-0-0_115079_2019-08-01_final
2019-11-30 11:28:45	ga_ls7e_ard_3-1-0_114078_2019-11-30_final
2020-07-18 11:22:06	ga_ls7e_ard_3-1-0_115078_2020-07-18_final
2020-07-27 11:15:22	ga_ls7e_ard_3-1-0_114078_2020-07-27_final
2020-11-24 10:18:51	ga_ls7e_ard_3-1-0_106080_2020-11-24_final
2020-11-29 10:33:02	ga_ls7e_ard_3-1-0_109070_2020-11-29_final
2020-11-30 09:38:56	ga_ls7e_ard_3-1-0_100074_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2020-12-06 10:43:29	ga_ls7e_ard_3-1-0_110082_2020-12-06_final
2020-12-08 08:52:06	ga_ls7e_ard_3-1-0_092082_2020-12-07_final
2020-12-11 09:17:59	ga_ls7e_ard_3-1-0_097070_2020-12-10_final
2021-01-07 09:03:05	ga_ls7e_ard_3-1-0_094084_2021-01-06_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-14 09:07:35	ga_ls7e_ard_3-1-0_095081_2021-01-13_final
2021-01-16 08:55:28	ga_ls7e_ard_3-1-0_093082_2021-01-15_final
2021-01-17 09:38:40	ga_ls7e_ard_3-1-0_100082_2021-01-17_final
2021-01-18 10:19:27	ga_ls7e_ard_3-1-0_107076_2021-01-18_final
2021-01-20 10:08:57	ga_ls7e_ard_3-2-0_105081_2021-01-20_final
2021-02-01 08:53:07	ga_ls7e_ard_3-2-0_093079_2021-01-31_final
2021-02-05 08:29:42	ga_ls7e_ard_3-2-0_089083_2021-02-04_final
2021-02-23 09:51:16	ga_ls7e_ard_3-2-0_103074_2021-02-23_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-03-01 09:17:43	ga_ls7e_ard_3-2-0_097084_2021-02-28_final
2021-03-17 09:12:28	ga_ls7e_ard_3-2-0_097074_2021-03-16_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-05-01 08:39:50	ga_ls7e_ard_3-2-0_092079_2021-04-30_final
2021-05-07 09:39:32	ga_ls7e_ard_3-2-0_102075_2021-05-07_final
2021-05-08 08:47:26	ga_ls7e_ard_3-2-0_093084_2021-05-07_final
2021-05-09 09:29:00	ga_ls7e_ard_3-2-0_100080_2021-05-08_final
2021-05-12 09:58:28	ga_ls7e_ard_3-2-0_105077_2021-05-12_final
2021-05-31 10:28:32	ga_ls7e_ard_3-2-0_110079_2021-05-31_final
2021-06-02 08:36:19	ga_ls7e_ard_3-2-0_092077_2021-06-01_final
2021-06-16 08:43:34	ga_ls7e_ard_3-2-0_094067_2021-06-15_final
2021-06-16 08:47:33	ga_ls7e_ard_3-2-0_094077_2021-06-15_final
2021-06-16 10:27:38	ga_ls7e_ard_3-2-0_110080_2021-06-16_final
2021-06-18 08:35:49	ga_ls7e_ard_3-2-0_092079_2021-06-17_final
2021-07-03 09:31:00	ga_ls7e_ard_3-2-0_101081_2021-07-03_final
2021-07-11 08:38:53	ga_ls7e_ard_3-2-0_093076_2021-07-10_final
2021-07-24 09:45:44	ga_ls7e_ard_3-2-0_104076_2021-07-24_final
2021-07-27 08:37:54	ga_ls7e_ard_3-2-0_093077_2021-07-26_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-28 10:11:59	ga_ls7e_ard_3-2-0_109072_2021-08-28_final
2021-09-07 10:48:59	ga_ls7e_ard_3-2-0_115074_2021-09-07_final
2021-09-15 09:58:02	ga_ls7e_ard_3-2-0_107072_2021-09-15_final
2021-09-16 09:02:20	ga_ls7e_ard_3-2-0_098072_2021-09-15_final
2021-09-22 10:03:59	ga_ls7e_ard_3-2-0_108073_2021-09-22_final
2021-09-26 09:37:19	ga_ls7e_ard_3-2-0_104069_2021-09-26_final
2021-10-03 08:09:35	ga_ls7e_ard_3-2-0_089083_2021-10-02_final
2021-10-08 10:03:46	ga_ls7e_ard_3-2-0_108076_2021-10-08_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-10-23 09:19:58	ga_ls7e_ard_3-2-0_101078_2021-10-22_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-11-01 09:15:21	ga_ls7e_ard_3-2-0_100084_2021-10-31_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-03 10:37:42	ga_ls7e_ard_3-2-0_114074_2021-11-03_final
2021-11-05 08:49:03	ga_ls7e_ard_3-2-0_096081_2021-11-04_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-20 09:52:20	ga_ls7e_ard_3-2-1_107080_2021-12-20_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2021-12-30 08:47:56	ga_ls7e_ard_3-2-1_097076_2021-12-29_final
2022-01-01 08:34:34	ga_ls7e_ard_3-2-1_095074_2021-12-31_final
2022-01-15 08:48:47	ga_ls7e_ard_3-2-1_097082_2022-01-14_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-06 09:44:50	ga_ls7e_ard_3-2-1_107073_2022-02-06_final
2022-02-09 10:16:37	ga_ls7e_ard_3-2-1_112076_2022-02-09_final
2022-02-27 10:02:53	ga_ls7e_ard_3-2-1_110077_2022-02-27_final
2022-03-03 08:00:54	ga_ls7e_ard_3-2-1_090082_2022-03-02_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-22 08:29:07	ga_ls7e_ard_3-2-1_095080_2022-03-21_final
2022-04-01 09:04:03	ga_ls7e_ard_3-2-1_101077_2022-03-31_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