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
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2001-07-14 11:41:21	ga_ls7e_ard_3-0-0_115077_2001-07-14_final
2002-03-11 11:39:44	ga_ls7e_ard_3-0-0_115074_2002-03-11_final
2002-04-28 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-28_final
2002-07-17 11:40:20	ga_ls7e_ard_3-0-0_115077_2002-07-17_final
2002-08-18 11:40:09	ga_ls7e_ard_3-0-0_115077_2002-08-18_final
2002-10-21 11:38:35	ga_ls7e_ard_3-0-0_115074_2002-10-21_final
2003-01-02 11:35:45	ga_ls7e_ard_3-0-0_114081_2003-01-02_final
2003-02-03 11:34:49	ga_ls7e_ard_3-0-0_114078_2003-02-03_final
2004-03-09 11:36:38	ga_ls7e_ard_3-0-0_114081_2004-03-09_final
2011-03-13 11:40:11	ga_ls7e_ard_3-0-0_114079_2011-03-13_final
2014-04-06 11:43:36	ga_ls7e_ard_3-0-0_114079_2014-04-06_final
2017-06-17 11:49:15	ga_ls7e_ard_3-0-0_114079_2017-06-17_final
2017-09-21 11:48:48	ga_ls7e_ard_3-0-0_114078_2017-09-21_final
2020-11-24 10:19:15	ga_ls7e_ard_3-1-0_106081_2020-11-24_final
2020-11-29 10:36:37	ga_ls7e_ard_3-1-0_109079_2020-11-29_final
2020-12-04 10:56:24	ga_ls7e_ard_3-1-0_112083_2020-12-04_final
2020-12-15 10:35:50	ga_ls7e_ard_3-1-0_109080_2020-12-15_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2020-12-26 10:15:41	ga_ls7e_ard_3-1-0_106078_2020-12-26_final
2020-12-27 10:58:52	ga_ls7e_ard_3-1-0_113078_2020-12-27_final
2020-12-29 10:45:58	ga_ls7e_ard_3-1-0_111077_2020-12-29_final
2020-12-30 09:51:05	ga_ls7e_ard_3-1-0_102079_2020-12-30_final
2021-01-05 09:13:59	ga_ls7e_ard_3-1-0_096080_2021-01-04_final
2021-01-20 10:07:45	ga_ls7e_ard_3-2-0_105078_2021-01-20_final
2021-01-25 10:25:32	ga_ls7e_ard_3-2-0_108077_2021-01-25_final
2021-02-04 09:22:36	ga_ls7e_ard_3-2-0_098076_2021-02-03_final
2021-02-16 09:48:01	ga_ls7e_ard_3-2-0_102080_2021-02-16_final
2021-02-22 09:11:17	ga_ls7e_ard_3-2-0_096082_2021-02-21_final
2021-02-24 10:36:27	ga_ls7e_ard_3-2-0_110079_2021-02-24_final
2021-03-11 09:52:01	ga_ls7e_ard_3-2-0_103079_2021-03-11_final
2021-03-13 09:39:30	ga_ls7e_ard_3-2-0_101079_2021-03-13_final
2021-03-18 09:58:03	ga_ls7e_ard_3-2-0_104080_2021-03-18_final
2021-03-19 10:42:01	ga_ls7e_ard_3-2-0_111082_2021-03-19_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-09 09:19:58	ga_ls7e_ard_3-2-0_098082_2021-04-08_final
2021-04-13 08:56:07	ga_ls7e_ard_3-2-0_094085_2021-04-12_final
2021-04-15 10:17:16	ga_ls7e_ard_3-2-0_108072_2021-04-15_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-04-24 10:12:19	ga_ls7e_ard_3-2-0_107077_2021-04-24_final
2021-04-27 10:42:34	ga_ls7e_ard_3-2-0_112076_2021-04-27_final
2021-05-10 10:11:47	ga_ls7e_ard_3-2-0_107079_2021-05-10_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-05-22 08:55:49	ga_ls7e_ard_3-2-0_095077_2021-05-21_final
2021-05-22 10:35:29	ga_ls7e_ard_3-2-0_111079_2021-05-22_final
2021-05-26 08:31:09	ga_ls7e_ard_3-2-0_091078_2021-05-25_final
2021-06-19 10:57:53	ga_ls7e_ard_3-2-0_115079_2021-06-19_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-07-04 08:34:06	ga_ls7e_ard_3-2-0_092078_2021-07-03_final
2021-07-08 09:49:07	ga_ls7e_ard_3-2-0_104081_2021-07-08_final
2021-07-09 08:54:12	ga_ls7e_ard_3-2-0_095083_2021-07-08_final
2021-07-23 09:02:58	ga_ls7e_ard_3-2-0_097077_2021-07-22_final
2021-07-24 09:46:32	ga_ls7e_ard_3-2-0_104078_2021-07-24_final
2021-07-27 08:40:18	ga_ls7e_ard_3-2-0_093083_2021-07-26_final
2021-07-28 09:21:52	ga_ls7e_ard_3-2-0_100079_2021-07-27_final
2021-07-30 09:09:20	ga_ls7e_ard_3-2-0_098079_2021-07-29_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-17 08:56:34	ga_ls7e_ard_3-2-0_096082_2021-08-16_final
2021-09-11 10:25:30	ga_ls7e_ard_3-2-0_111078_2021-09-11_final
2021-09-15 08:21:57	ga_ls7e_ard_3-2-0_091079_2021-09-14_final
2021-09-18 08:51:47	ga_ls7e_ard_3-2-0_096077_2021-09-17_final
2021-09-24 09:53:51	ga_ls7e_ard_3-2-0_106079_2021-09-24_final
2021-10-03 09:47:16	ga_ls7e_ard_3-2-0_105080_2021-10-03_final
2021-10-04 08:51:58	ga_ls7e_ard_3-2-0_096081_2021-10-03_final
2021-10-06 08:40:13	ga_ls7e_ard_3-2-0_094083_2021-10-05_final
2021-10-08 08:27:17	ga_ls7e_ard_3-2-0_092082_2021-10-07_final
2021-10-13 08:47:23	ga_ls7e_ard_3-2-0_095087_2021-10-12_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-10-26 09:48:12	ga_ls7e_ard_3-2-0_106072_2021-10-26_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-11-09 09:59:14	ga_ls7e_ard_3-2-0_108072_2021-11-09_final
2021-11-26 09:03:10	ga_ls7e_ard_3-2-1_099075_2021-11-25_final
2021-12-01 09:23:14	ga_ls7e_ard_3-2-1_102080_2021-11-30_final
2021-12-02 08:29:07	ga_ls7e_ard_3-2-1_093084_2021-12-01_final
2021-12-05 08:56:09	ga_ls7e_ard_3-2-1_098075_2021-12-04_final
2021-12-05 08:58:57	ga_ls7e_ard_3-2-1_098082_2021-12-04_final
2021-12-14 10:28:23	ga_ls7e_ard_3-2-1_113076_2021-12-14_final
2021-12-19 09:07:10	ga_ls7e_ard_3-2-1_100075_2021-12-18_final
2021-12-22 09:38:58	ga_ls7e_ard_3-2-1_105078_2021-12-22_final
2021-12-27 09:56:13	ga_ls7e_ard_3-2-1_108076_2021-12-27_final
2022-01-03 08:25:12	ga_ls7e_ard_3-2-1_093082_2022-01-02_final
2022-01-10 10:08:24	ga_ls7e_ard_3-2-1_110079_2022-01-10_final
2022-01-14 09:43:18	ga_ls7e_ard_3-2-1_106079_2022-01-14_final
2022-01-17 08:33:51	ga_ls7e_ard_3-2-1_095076_2022-01-16_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-02-09 08:38:08	ga_ls7e_ard_3-2-1_096077_2022-02-08_final
2022-02-11 08:29:34	ga_ls7e_ard_3-2-1_094087_2022-02-10_final
2022-02-16 08:42:47	ga_ls7e_ard_3-2-1_097075_2022-02-15_final
2022-02-18 10:09:55	ga_ls7e_ard_3-2-1_111077_2022-02-18_final
2022-02-25 08:37:21	ga_ls7e_ard_3-2-1_096079_2022-02-24_final
2022-02-27 08:23:12	ga_ls7e_ard_3-2-1_094075_2022-02-26_final
2022-03-05 09:24:49	ga_ls7e_ard_3-2-1_104076_2022-03-04_final
2022-03-11 08:49:32	ga_ls7e_ard_3-2-1_098082_2022-03-10_final
2022-03-13 08:35:23	ga_ls7e_ard_3-2-1_096078_2022-03-12_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-29 08:35:26	ga_ls7e_ard_3-2-1_096082_2022-03-28_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