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
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2001-01-26 11:49:06	ga_ls7e_ard_3-0-0_116078_2001-01-26_final
2004-12-13 11:41:11	ga_ls7e_ard_3-1-0_115077_2004-12-13_final
2005-04-20 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-04-20_final
2006-03-22 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-22_final
2006-07-28 11:41:42	ga_ls7e_ard_3-1-0_115077_2006-07-28_final
2010-07-23 11:43:50	ga_ls7e_ard_3-0-0_115076_2010-07-23_final
2011-01-31 11:44:12	ga_ls7e_ard_3-0-0_115074_2011-01-31_final
2014-04-13 11:49:03	ga_ls7e_ard_3-1-0_115077_2014-04-13_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2016-05-13 11:49:25	ga_ls7e_ard_3-0-0_114080_2016-05-13_final
2017-09-05 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-09-05_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2019-11-05 11:35:42	ga_ls7e_ard_3-1-0_115077_2019-11-05_final
2020-11-21 09:45:46	ga_ls7e_ard_3-1-0_101074_2020-11-21_final
2020-11-24 08:39:58	ga_ls7e_ard_3-1-0_090080_2020-11-23_final
2020-11-26 10:02:45	ga_ls7e_ard_3-1-0_104071_2020-11-26_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-15 08:58:33	ga_ls7e_ard_3-1-0_093084_2020-12-14_final
2020-12-20 10:53:35	ga_ls7e_ard_3-1-0_112079_2020-12-20_final
2021-01-03 11:05:22	ga_ls7e_ard_3-1-0_114080_2021-01-03_final
2021-01-19 11:03:50	ga_ls7e_ard_3-1-0_114079_2021-01-19_final
2021-01-23 10:39:38	ga_ls7e_ard_3-2-0_110081_2021-01-23_final
2021-02-17 10:30:00	ga_ls7e_ard_3-2-0_109077_2021-02-17_final
2021-02-18 09:35:06	ga_ls7e_ard_3-2-0_100079_2021-02-18_final
2021-02-22 09:10:53	ga_ls7e_ard_3-2-0_096081_2021-02-21_final
2021-02-23 09:52:04	ga_ls7e_ard_3-2-0_103076_2021-02-23_final
2021-02-26 10:21:09	ga_ls7e_ard_3-2-0_108072_2021-02-26_final
2021-03-04 09:45:36	ga_ls7e_ard_3-2-0_102077_2021-03-04_final
2021-03-05 08:50:18	ga_ls7e_ard_3-2-0_093078_2021-03-04_final
2021-03-10 09:04:03	ga_ls7e_ard_3-2-0_096067_2021-03-09_final
2021-03-10 10:48:07	ga_ls7e_ard_3-2-0_112080_2021-03-10_final
2021-03-13 09:36:43	ga_ls7e_ard_3-2-0_101072_2021-03-13_final
2021-03-16 08:32:29	ga_ls7e_ard_3-2-0_090082_2021-03-15_final
2021-03-21 10:29:54	ga_ls7e_ard_3-2-0_109083_2021-03-21_final
2021-03-30 08:41:43	ga_ls7e_ard_3-2-0_092077_2021-03-29_final
2021-04-11 10:43:55	ga_ls7e_ard_3-2-0_112076_2021-04-11_final
2021-04-16 09:25:10	ga_ls7e_ard_3-2-0_099081_2021-04-15_final
2021-04-19 09:55:24	ga_ls7e_ard_3-2-0_104080_2021-04-19_final
2021-04-22 10:22:04	ga_ls7e_ard_3-2-0_109070_2021-04-22_final
2021-04-29 10:28:03	ga_ls7e_ard_3-2-0_110071_2021-04-29_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-03 08:28:30	ga_ls7e_ard_3-2-0_090082_2021-05-02_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-05-08 10:23:55	ga_ls7e_ard_3-2-0_109078_2021-05-08_final
2021-05-12 09:56:52	ga_ls7e_ard_3-2-0_105073_2021-05-12_final
2021-05-15 10:30:18	ga_ls7e_ard_3-2-0_110080_2021-05-15_final
2021-05-16 09:31:48	ga_ls7e_ard_3-2-0_101073_2021-05-16_final
2021-05-21 09:51:31	ga_ls7e_ard_3-2-0_104077_2021-05-21_final
2021-06-02 08:37:07	ga_ls7e_ard_3-2-0_092079_2021-06-01_final
2021-06-25 10:19:54	ga_ls7e_ard_3-2-0_109078_2021-06-25_final
2021-06-30 08:57:57	ga_ls7e_ard_3-2-0_096075_2021-06-29_final
2021-07-04 10:12:34	ga_ls7e_ard_3-2-0_108077_2021-07-04_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-11 10:15:22	ga_ls7e_ard_3-2-0_109070_2021-07-11_final
2021-07-12 09:21:39	ga_ls7e_ard_3-2-0_100075_2021-07-11_final
2021-07-14 09:08:44	ga_ls7e_ard_3-2-0_098074_2021-07-13_final
2021-07-22 08:20:12	ga_ls7e_ard_3-2-0_090078_2021-07-21_final
2021-08-02 09:39:34	ga_ls7e_ard_3-2-0_103078_2021-08-02_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-08-17 08:54:58	ga_ls7e_ard_3-2-0_096078_2021-08-16_final
2021-08-21 08:29:31	ga_ls7e_ard_3-2-0_092077_2021-08-20_final
2021-08-21 10:10:23	ga_ls7e_ard_3-2-0_108082_2021-08-21_final
2021-08-26 08:46:26	ga_ls7e_ard_3-2-0_095074_2021-08-25_final
2021-09-03 09:35:34	ga_ls7e_ard_3-2-0_103075_2021-09-03_final
2021-09-12 09:28:12	ga_ls7e_ard_3-2-0_102074_2021-09-11_final
2021-09-15 08:22:21	ga_ls7e_ard_3-2-0_091080_2021-09-14_final
2021-09-25 10:35:49	ga_ls7e_ard_3-2-0_113076_2021-09-25_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-10-13 08:43:47	ga_ls7e_ard_3-2-0_095078_2021-10-12_final
2021-10-14 09:25:22	ga_ls7e_ard_3-2-0_102074_2021-10-13_final
2021-10-15 10:07:20	ga_ls7e_ard_3-2-0_109071_2021-10-15_final
2021-10-17 09:55:12	ga_ls7e_ard_3-2-0_107072_2021-10-17_final
2021-10-22 08:32:25	ga_ls7e_ard_3-2-0_094067_2021-10-21_final
2021-11-09 08:23:57	ga_ls7e_ard_3-2-0_092081_2021-11-08_final
2021-11-14 08:39:13	ga_ls7e_ard_3-2-1_095074_2021-11-13_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-08 09:27:10	ga_ls7e_ard_3-2-1_103076_2021-12-07_final
2021-12-09 08:31:51	ga_ls7e_ard_3-2-1_094077_2021-12-08_final
2021-12-09 08:33:03	ga_ls7e_ard_3-2-1_094080_2021-12-08_final
2021-12-09 10:11:08	ga_ls7e_ard_3-2-1_110078_2021-12-09_final
2021-12-28 09:00:06	ga_ls7e_ard_3-2-1_099075_2021-12-27_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-06 10:33:29	ga_ls7e_ard_3-2-1_114079_2022-01-06_final
2022-01-08 08:42:04	ga_ls7e_ard_3-2-1_096079_2022-01-07_final
2022-01-10 08:29:55	ga_ls7e_ard_3-2-1_094080_2022-01-09_final
2022-01-30 09:42:09	ga_ls7e_ard_3-2-1_106080_2022-01-30_final
2022-02-02 08:32:40	ga_ls7e_ard_3-2-1_095077_2022-02-01_final
2022-02-04 08:23:42	ga_ls7e_ard_3-2-1_093086_2022-02-03_final
2022-02-11 08:26:22	ga_ls7e_ard_3-2-1_094079_2022-02-10_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-23 08:50:18	ga_ls7e_ard_3-2-1_098080_2022-02-22_final
2022-02-28 09:06:46	ga_ls7e_ard_3-2-1_101076_2022-02-27_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_2022-04-02_final
2022-04-04 09:35:27	ga_ls7e_ard_3-2-1_106079_2022-04-04_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