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
2001-03-08 11:42:20	ga_ls7e_ard_3-1-0_115077_2001-03-08_final
2007-12-22 11:42:20	ga_ls7e_ard_3-1-0_115077_2007-12-22_final
2008-08-18 11:41:09	ga_ls7e_ard_3-1-0_115077_2008-08-18_final
2012-10-16 11:47:45	ga_ls7e_ard_3-1-0_115077_2012-10-16_final
2013-10-03 11:47:51	ga_ls7e_ard_3-0-0_115077_2013-10-03_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-08-19 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-08-19_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-11-21 11:34:57	ga_ls7e_ard_3-1-0_115077_2019-11-21_final
2020-11-24 08:39:10	ga_ls7e_ard_3-1-0_090078_2020-11-23_final
2020-11-27 09:11:03	ga_ls7e_ard_3-1-0_095081_2020-11-26_final
2020-11-29 08:56:33	ga_ls7e_ard_3-1-0_093076_2020-11-28_final
2020-12-04 09:14:19	ga_ls7e_ard_3-1-0_096075_2020-12-03_final
2020-12-22 09:03:47	ga_ls7e_ard_3-1-0_094083_2020-12-21_final
2020-12-28 10:03:11	ga_ls7e_ard_3-1-0_104078_2020-12-28_final
2020-12-31 10:34:40	ga_ls7e_ard_3-1-0_109080_2020-12-31_final
2021-01-07 10:40:22	ga_ls7e_ard_3-1-0_110080_2021-01-07_final
2021-01-09 10:29:28	ga_ls7e_ard_3-1-0_108084_2021-01-09_final
2021-01-12 10:57:22	ga_ls7e_ard_3-1-0_113077_2021-01-12_final
2021-01-12 10:58:09	ga_ls7e_ard_3-1-0_113079_2021-01-12_final
2021-01-22 09:53:39	ga_ls7e_ard_3-2-0_103074_2021-01-22_final
2021-01-31 09:48:49	ga_ls7e_ard_3-2-0_102079_2021-01-31_final
2021-02-02 09:36:42	ga_ls7e_ard_3-2-0_100080_2021-02-02_final
2021-02-18 09:33:31	ga_ls7e_ard_3-2-0_100075_2021-02-18_final
2021-02-18 09:33:55	ga_ls7e_ard_3-2-0_100076_2021-02-18_final
2021-02-19 08:41:00	ga_ls7e_ard_3-2-0_091083_2021-02-18_final
2021-02-20 09:21:24	ga_ls7e_ard_3-2-0_098076_2021-02-19_final
2021-02-26 08:45:27	ga_ls7e_ard_3-2-0_092080_2021-02-25_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-03-16 10:10:10	ga_ls7e_ard_3-2-0_106079_2021-03-16_final
2021-03-18 09:57:15	ga_ls7e_ard_3-2-0_104078_2021-03-18_final
2021-03-24 10:58:58	ga_ls7e_ard_3-2-0_114079_2021-03-24_final
2021-03-28 08:55:50	ga_ls7e_ard_3-2-0_094081_2021-03-27_final
2021-03-28 10:30:43	ga_ls7e_ard_3-2-0_110071_2021-03-28_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-02 10:50:51	ga_ls7e_ard_3-2-0_113076_2021-04-02_final
2021-04-06 08:48:07	ga_ls7e_ard_3-2-0_093079_2021-04-05_final
2021-04-06 08:49:19	ga_ls7e_ard_3-2-0_093082_2021-04-05_final
2021-04-18 10:49:07	ga_ls7e_ard_3-2-0_113075_2021-04-18_final
2021-04-25 10:56:18	ga_ls7e_ard_3-2-0_114079_2021-04-25_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-08 08:45:02	ga_ls7e_ard_3-2-0_093078_2021-05-07_final
2021-05-22 08:56:13	ga_ls7e_ard_3-2-0_095078_2021-05-21_final
2021-05-24 08:42:29	ga_ls7e_ard_3-2-0_093075_2021-05-23_final
2021-06-05 09:06:11	ga_ls7e_ard_3-2-0_097075_2021-06-04_final
2021-06-21 09:03:17	ga_ls7e_ard_3-2-0_097071_2021-06-20_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-18 10:23:44	ga_ls7e_ard_3-2-0_110077_2021-07-18_final
2021-07-20 10:10:48	ga_ls7e_ard_3-2-0_108076_2021-07-20_final
2021-07-24 09:46:08	ga_ls7e_ard_3-2-0_104077_2021-07-24_final
2021-07-25 08:49:38	ga_ls7e_ard_3-2-0_095075_2021-07-24_final
2021-08-03 08:44:16	ga_ls7e_ard_3-2-0_094079_2021-08-02_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-08 09:01:34	ga_ls7e_ard_3-2-0_097077_2021-08-07_final
2021-08-13 09:18:03	ga_ls7e_ard_3-2-0_100073_2021-08-12_final
2021-08-13 09:18:51	ga_ls7e_ard_3-2-0_100075_2021-08-12_final
2021-08-18 09:35:21	ga_ls7e_ard_3-2-0_103071_2021-08-18_final
2021-08-31 09:07:20	ga_ls7e_ard_3-2-0_098081_2021-08-30_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-09-10 09:41:56	ga_ls7e_ard_3-2-0_104077_2021-09-10_final
2021-09-18 10:30:40	ga_ls7e_ard_3-2-0_112077_2021-09-18_final
2021-09-23 09:08:41	ga_ls7e_ard_3-2-0_099074_2021-09-22_final
2021-09-24 08:16:34	ga_ls7e_ard_3-2-0_090083_2021-09-23_final
2021-09-25 08:57:44	ga_ls7e_ard_3-2-0_097078_2021-09-24_final
2021-09-26 09:40:06	ga_ls7e_ard_3-2-0_104076_2021-09-26_final
2021-10-06 08:39:26	ga_ls7e_ard_3-2-0_094081_2021-10-05_final
2021-10-09 09:06:52	ga_ls7e_ard_3-2-0_099073_2021-10-08_final
2021-10-10 08:14:45	ga_ls7e_ard_3-2-0_090082_2021-10-09_final
2021-10-11 08:54:20	ga_ls7e_ard_3-2-0_097073_2021-10-10_final
2021-10-19 09:41:52	ga_ls7e_ard_3-2-0_105070_2021-10-19_final
2021-10-21 09:32:07	ga_ls7e_ard_3-2-0_103077_2021-10-21_final
2021-10-24 08:23:52	ga_ls7e_ard_3-2-0_092077_2021-10-23_final
2021-11-06 09:30:14	ga_ls7e_ard_3-2-0_103076_2021-11-06_final
2021-11-16 08:29:03	ga_ls7e_ard_3-2-1_093080_2021-11-15_final
2021-11-20 09:42:01	ga_ls7e_ard_3-2-1_105078_2021-11-20_final
2021-12-10 09:14:37	ga_ls7e_ard_3-2-1_101076_2021-12-09_final
2021-12-17 09:19:20	ga_ls7e_ard_3-2-1_102074_2021-12-16_final
2021-12-18 10:00:54	ga_ls7e_ard_3-2-1_109070_2021-12-18_final
2022-01-03 08:24:00	ga_ls7e_ard_3-2-1_093079_2022-01-02_final
2022-01-08 08:43:16	ga_ls7e_ard_3-2-1_096082_2022-01-07_final
2022-01-10 08:30:19	ga_ls7e_ard_3-2-1_094081_2022-01-09_final
2022-01-13 10:37:01	ga_ls7e_ard_3-2-1_115074_2022-01-13_final
2022-01-14 09:43:42	ga_ls7e_ard_3-2-1_106080_2022-01-14_final
2022-01-21 09:46:25	ga_ls7e_ard_3-2-1_107073_2022-01-21_final
2022-02-09 10:17:25	ga_ls7e_ard_3-2-1_112078_2022-02-09_final
2022-02-18 10:10:19	ga_ls7e_ard_3-2-1_111078_2022-02-18_final
2022-02-18 10:11:55	ga_ls7e_ard_3-2-1_111082_2022-02-18_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-02-20 09:57:46	ga_ls7e_ard_3-2-1_109078_2022-02-20_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_2022-03-10_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-26 09:40:06	ga_ls7e_ard_3-2-1_107073_2022-03-26_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