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
2000-03-14 11:39:59	ga_ls7e_ard_3-0-0_114081_2000-03-14_final
2000-11-09 11:36:08	ga_ls7e_ard_3-0-0_114077_2000-11-09_final
2000-12-27 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-12-27_final
2001-06-05 11:36:41	ga_ls7e_ard_3-0-0_114080_2001-06-05_final
2001-09-16 11:41:18	ga_ls7e_ard_3-0-0_115079_2001-09-16_final
2001-09-25 11:34:40	ga_ls7e_ard_3-0-0_114078_2001-09-25_final
2001-10-27 11:34:08	ga_ls7e_ard_3-0-0_114077_2001-10-27_final
2002-11-15 11:34:58	ga_ls7e_ard_3-0-0_114080_2002-11-15_final
2003-01-02 11:34:10	ga_ls7e_ard_3-0-0_114077_2003-01-02_final
2003-01-02 11:35:21	ga_ls7e_ard_3-0-0_114080_2003-01-02_final
2009-10-01 11:36:44	ga_ls7e_ard_3-0-0_114079_2009-10-01_final
2011-08-04 11:40:52	ga_ls7e_ard_3-0-0_114081_2011-08-04_final
2012-03-31 11:39:32	ga_ls7e_ard_3-0-0_114076_2012-03-31_final
2013-02-14 11:41:38	ga_ls7e_ard_3-0-0_114076_2013-02-14_final
2014-04-06 11:42:24	ga_ls7e_ard_3-0-0_114076_2014-04-06_final
2015-05-11 11:45:38	ga_ls7e_ard_3-0-0_114078_2015-05-11_final
2016-09-18 11:49:44	ga_ls7e_ard_3-0-0_114080_2016-09-18_final
2017-06-01 11:49:11	ga_ls7e_ard_3-0-0_114079_2017-06-01_final
2020-04-22 11:21:32	ga_ls7e_ard_3-1-0_114079_2020-04-22_final
2020-12-04 10:54:48	ga_ls7e_ard_3-1-0_112079_2020-12-04_final
2020-12-13 10:48:21	ga_ls7e_ard_3-1-0_111080_2020-12-13_final
2020-12-14 09:51:51	ga_ls7e_ard_3-1-0_102078_2020-12-14_final
2020-12-15 10:35:50	ga_ls7e_ard_3-1-0_109080_2020-12-15_final
2020-12-28 10:03:35	ga_ls7e_ard_3-1-0_104079_2020-12-28_final
2021-01-03 09:24:06	ga_ls7e_ard_3-1-0_098074_2021-01-02_final
2021-01-08 09:43:05	ga_ls7e_ard_3-1-0_101076_2021-01-08_final
2021-01-09 10:27:52	ga_ls7e_ard_3-1-0_108080_2021-01-09_final
2021-01-12 09:17:41	ga_ls7e_ard_3-1-0_097075_2021-01-11_final
2021-02-02 09:34:42	ga_ls7e_ard_3-2-0_100075_2021-02-02_final
2021-02-02 09:37:06	ga_ls7e_ard_3-2-0_100081_2021-02-02_final
2021-02-05 10:07:23	ga_ls7e_ard_3-2-0_105080_2021-02-05_final
2021-02-06 09:12:05	ga_ls7e_ard_3-2-0_096081_2021-02-05_final
2021-02-08 08:58:47	ga_ls7e_ard_3-2-0_094079_2021-02-07_final
2021-02-22 09:10:05	ga_ls7e_ard_3-2-0_096079_2021-02-21_final
2021-02-28 10:11:49	ga_ls7e_ard_3-2-0_106080_2021-02-28_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-11 09:50:02	ga_ls7e_ard_3-2-0_103074_2021-03-11_final
2021-03-15 09:24:59	ga_ls7e_ard_3-2-0_099074_2021-03-14_final
2021-03-17 10:52:57	ga_ls7e_ard_3-2-0_113078_2021-03-17_final
2021-03-19 09:02:21	ga_ls7e_ard_3-2-0_095080_2021-03-18_final
2021-03-19 10:42:01	ga_ls7e_ard_3-2-0_111082_2021-03-19_final
2021-03-26 10:46:26	ga_ls7e_ard_3-2-0_112079_2021-03-26_final
2021-03-30 10:19:24	ga_ls7e_ard_3-2-0_108074_2021-03-30_final
2021-04-27 10:44:10	ga_ls7e_ard_3-2-0_112080_2021-04-27_final
2021-04-29 08:52:22	ga_ls7e_ard_3-2-0_094079_2021-04-28_final
2021-05-13 09:04:21	ga_ls7e_ard_3-2-0_096081_2021-05-12_final
2021-05-23 09:40:11	ga_ls7e_ard_3-2-0_102080_2021-05-23_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-05-28 09:58:17	ga_ls7e_ard_3-2-0_105080_2021-05-28_final
2021-05-30 09:42:58	ga_ls7e_ard_3-2-0_103073_2021-05-30_final
2021-06-10 09:26:19	ga_ls7e_ard_3-2-0_100080_2021-06-09_final
2021-06-20 10:02:59	ga_ls7e_ard_3-2-0_106081_2021-06-20_final
2021-07-07 09:06:20	ga_ls7e_ard_3-2-0_097082_2021-07-06_final
2021-07-07 10:44:49	ga_ls7e_ard_3-2-0_113081_2021-07-07_final
2021-07-11 08:40:29	ga_ls7e_ard_3-2-0_093080_2021-07-10_final
2021-07-16 08:55:24	ga_ls7e_ard_3-2-0_096072_2021-07-15_final
2021-07-20 10:11:12	ga_ls7e_ard_3-2-0_108077_2021-07-20_final
2021-07-23 10:43:27	ga_ls7e_ard_3-2-0_113081_2021-07-23_final
2021-08-01 08:56:48	ga_ls7e_ard_3-2-0_096079_2021-07-31_final
2021-08-02 09:39:58	ga_ls7e_ard_3-2-0_103079_2021-08-02_final
2021-08-08 09:00:22	ga_ls7e_ard_3-2-0_097074_2021-08-07_final
2021-08-11 09:31:48	ga_ls7e_ard_3-2-0_102076_2021-08-11_final
2021-08-12 10:15:46	ga_ls7e_ard_3-2-0_109078_2021-08-12_final
2021-08-12 10:16:10	ga_ls7e_ard_3-2-0_109079_2021-08-12_final
2021-08-15 09:05:31	ga_ls7e_ard_3-2-0_098073_2021-08-14_final
2021-08-17 08:54:58	ga_ls7e_ard_3-2-0_096078_2021-08-16_final
2021-08-26 08:48:01	ga_ls7e_ard_3-2-0_095078_2021-08-25_final
2021-08-28 08:35:53	ga_ls7e_ard_3-2-0_093079_2021-08-27_final
2021-08-28 08:37:29	ga_ls7e_ard_3-2-0_093083_2021-08-27_final
2021-08-31 09:07:44	ga_ls7e_ard_3-2-0_098082_2021-08-30_final
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-10 09:38:45	ga_ls7e_ard_3-2-0_104069_2021-09-10_final
2021-09-19 09:32:10	ga_ls7e_ard_3-2-0_103070_2021-09-19_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-22 08:27:30	ga_ls7e_ard_3-2-0_092079_2021-09-21_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-09-25 10:35:25	ga_ls7e_ard_3-2-0_113075_2021-09-25_final
2021-10-12 09:37:54	ga_ls7e_ard_3-2-0_104074_2021-10-12_final
2021-10-20 08:47:21	ga_ls7e_ard_3-2-0_096073_2021-10-19_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_final
2021-10-26 09:50:12	ga_ls7e_ard_3-2-0_106077_2021-10-26_final
2021-11-02 09:54:55	ga_ls7e_ard_3-2-0_107075_2021-11-02_final
2021-11-02 09:57:43	ga_ls7e_ard_3-2-0_107082_2021-11-02_final
2021-12-07 08:44:24	ga_ls7e_ard_3-2-1_096077_2021-12-06_final
2021-12-14 10:29:35	ga_ls7e_ard_3-2-1_113079_2021-12-14_final
2021-12-27 09:56:37	ga_ls7e_ard_3-2-1_108077_2021-12-27_final
2022-01-15 10:25:40	ga_ls7e_ard_3-2-1_113077_2022-01-15_final
2022-01-21 09:48:49	ga_ls7e_ard_3-2-1_107079_2022-01-21_final
2022-01-31 08:46:26	ga_ls7e_ard_3-2-1_097080_2022-01-30_final
2022-02-06 09:47:13	ga_ls7e_ard_3-2-1_107079_2022-02-06_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-23 08:47:31	ga_ls7e_ard_3-2-1_098073_2022-02-22_final
2022-03-05 09:24:01	ga_ls7e_ard_3-2-1_104074_2022-03-04_final
2022-03-05 09:24:49	ga_ls7e_ard_3-2-1_104076_2022-03-04_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_final
2022-03-13 08:35:23	ga_ls7e_ard_3-2-1_096078_2022-03-12_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-21 09:23:38	ga_ls7e_ard_3-2-1_104077_2022-03-20_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