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
2000-05-01 11:38:55	ga_ls7e_ard_3-0-0_114079_2000-05-01_final
2000-10-31 11:41:58	ga_ls7e_ard_3-0-0_115076_2000-10-31_final
2001-07-07 11:36:23	ga_ls7e_ard_3-0-0_114080_2001-07-07_final
2002-10-21 11:40:35	ga_ls7e_ard_3-0-0_115079_2002-10-21_final
2002-12-01 11:34:28	ga_ls7e_ard_3-0-0_114078_2002-12-01_final
2003-01-02 11:34:58	ga_ls7e_ard_3-0-0_114079_2003-01-02_final
2003-05-17 11:39:30	ga_ls7e_ard_3-0-0_115074_2003-05-17_final
2003-08-30 11:34:35	ga_ls7e_ard_3-0-0_114078_2003-08-30_final
2005-07-25 11:42:13	ga_ls7e_ard_3-0-0_115079_2005-07-25_final
2006-06-26 11:42:44	ga_ls7e_ard_3-0-0_115079_2006-06-26_final
2008-06-24 11:37:04	ga_ls7e_ard_3-0-0_114081_2008-06-24_final
2010-07-23 11:44:14	ga_ls7e_ard_3-1-0_115077_2010-07-23_final
2011-01-08 11:38:40	ga_ls7e_ard_3-0-0_114076_2011-01-08_final
2014-04-29 11:49:13	ga_ls7e_ard_3-1-0_115077_2014-04-29_final
2014-09-13 11:44:39	ga_ls7e_ard_3-0-0_114080_2014-09-13_final
2014-10-31 11:44:46	ga_ls7e_ard_3-0-0_114079_2014-10-31_final
2015-01-10 11:50:34	ga_ls7e_ard_3-1-0_115077_2015-01-10_final
2017-02-25 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-02-25_final
2017-12-26 11:48:52	ga_ls7e_ard_3-0-0_114079_2017-12-26_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-05-19 11:46:47	ga_ls7e_ard_3-0-0_114079_2018-05-19_final
2018-08-23 11:45:02	ga_ls7e_ard_3-0-0_114079_2018-08-23_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2020-11-24 10:18:27	ga_ls7e_ard_3-1-0_106079_2020-11-24_final
2020-11-26 10:02:45	ga_ls7e_ard_3-1-0_104071_2020-11-26_final
2020-12-01 10:24:07	ga_ls7e_ard_3-1-0_107079_2020-12-01_final
2020-12-06 09:04:36	ga_ls7e_ard_3-1-0_094082_2020-12-05_final
2020-12-08 10:31:46	ga_ls7e_ard_3-1-0_108084_2020-12-08_final
2020-12-12 10:01:10	ga_ls7e_ard_3-1-0_104070_2020-12-12_final
2020-12-24 08:51:41	ga_ls7e_ard_3-1-0_092084_2020-12-23_final
2020-12-31 10:33:53	ga_ls7e_ard_3-1-0_109078_2020-12-31_final
2021-01-09 10:26:16	ga_ls7e_ard_3-1-0_108076_2021-01-09_final
2021-01-14 09:06:23	ga_ls7e_ard_3-1-0_095078_2021-01-13_final
2021-01-14 10:45:39	ga_ls7e_ard_3-1-0_111079_2021-01-14_final
2021-01-21 10:52:32	ga_ls7e_ard_3-2-0_112082_2021-01-21_final
2021-01-22 09:53:15	ga_ls7e_ard_3-2-0_103073_2021-01-22_final
2021-01-23 08:58:21	ga_ls7e_ard_3-2-0_094075_2021-01-22_final
2021-01-23 09:01:09	ga_ls7e_ard_3-2-0_094082_2021-01-22_final
2021-02-26 10:21:09	ga_ls7e_ard_3-2-0_108072_2021-02-26_final
2021-03-02 09:55:19	ga_ls7e_ard_3-2-0_104070_2021-03-02_final
2021-03-02 09:58:06	ga_ls7e_ard_3-2-0_104077_2021-03-02_final
2021-03-12 08:58:43	ga_ls7e_ard_3-2-0_094085_2021-03-11_final
2021-03-18 09:56:27	ga_ls7e_ard_3-2-0_104076_2021-03-18_final
2021-04-08 10:14:28	ga_ls7e_ard_3-2-0_107079_2021-04-08_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-10 09:59:33	ga_ls7e_ard_3-2-0_105073_2021-04-10_final
2021-04-11 09:04:15	ga_ls7e_ard_3-2-0_096074_2021-04-10_final
2021-04-11 09:05:03	ga_ls7e_ard_3-2-0_096076_2021-04-10_final
2021-04-15 08:40:23	ga_ls7e_ard_3-2-0_092077_2021-04-14_final
2021-04-26 10:00:59	ga_ls7e_ard_3-2-0_105080_2021-04-26_final
2021-05-02 09:21:01	ga_ls7e_ard_3-2-0_099074_2021-05-01_final
2021-05-03 08:28:06	ga_ls7e_ard_3-2-0_090081_2021-05-02_final
2021-05-12 09:59:39	ga_ls7e_ard_3-2-0_105080_2021-05-12_final
2021-05-20 09:07:57	ga_ls7e_ard_3-2-0_097076_2021-05-19_final
2021-05-22 08:55:25	ga_ls7e_ard_3-2-0_095076_2021-05-21_final
2021-06-06 09:49:46	ga_ls7e_ard_3-2-0_104076_2021-06-06_final
2021-06-09 10:22:25	ga_ls7e_ard_3-2-0_109081_2021-06-09_final
2021-06-12 09:11:48	ga_ls7e_ard_3-2-0_098075_2021-06-11_final
2021-06-27 10:07:47	ga_ls7e_ard_3-2-0_107079_2021-06-27_final
2021-06-29 09:52:04	ga_ls7e_ard_3-2-0_105071_2021-06-29_final
2021-07-05 09:15:16	ga_ls7e_ard_3-2-0_099073_2021-07-04_final
2021-07-06 10:02:02	ga_ls7e_ard_3-2-0_106082_2021-07-06_final
2021-07-09 08:51:25	ga_ls7e_ard_3-2-0_095076_2021-07-08_final
2021-07-15 09:53:54	ga_ls7e_ard_3-2-0_105079_2021-07-15_final
2021-07-18 08:46:03	ga_ls7e_ard_3-2-0_094080_2021-07-17_final
2021-08-01 08:55:12	ga_ls7e_ard_3-2-0_096075_2021-07-31_final
2021-08-28 10:15:34	ga_ls7e_ard_3-2-0_109081_2021-08-28_final
2021-09-05 09:24:38	ga_ls7e_ard_3-2-0_101079_2021-09-04_final
2021-09-09 10:37:15	ga_ls7e_ard_3-2-0_113076_2021-09-09_final
2021-09-15 08:23:09	ga_ls7e_ard_3-2-0_091082_2021-09-14_final
2021-09-20 08:40:27	ga_ls7e_ard_3-2-0_094080_2021-09-19_final
2021-10-21 09:34:06	ga_ls7e_ard_3-2-0_103082_2021-10-21_final
2021-10-22 10:16:05	ga_ls7e_ard_3-2-0_110079_2021-10-22_final
2021-11-07 08:34:07	ga_ls7e_ard_3-2-0_094075_2021-11-06_final
2021-11-08 09:17:40	ga_ls7e_ard_3-2-0_101076_2021-11-07_final
2021-11-14 08:42:00	ga_ls7e_ard_3-2-1_095081_2021-11-13_final
2021-11-14 10:20:05	ga_ls7e_ard_3-2-1_111079_2021-11-14_final
2021-11-21 08:48:18	ga_ls7e_ard_3-2-1_096083_2021-11-20_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-11-29 09:33:47	ga_ls7e_ard_3-2-1_104075_2021-11-29_final
2021-12-16 10:16:14	ga_ls7e_ard_3-2-1_111077_2021-12-16_final
2022-01-01 10:16:15	ga_ls7e_ard_3-2-1_111081_2022-01-01_final
2022-01-06 08:53:25	ga_ls7e_ard_3-2-1_098076_2022-01-05_final
2022-01-11 09:13:53	ga_ls7e_ard_3-2-1_101082_2022-01-10_final
2022-01-17 10:13:55	ga_ls7e_ard_3-2-1_111079_2022-01-17_final
2022-02-04 09:59:23	ga_ls7e_ard_3-2-1_109078_2022-02-04_final
2022-02-14 08:54:33	ga_ls7e_ard_3-2-1_099073_2022-02-13_final
2022-02-16 08:45:35	ga_ls7e_ard_3-2-1_097082_2022-02-15_final
2022-02-18 10:11:55	ga_ls7e_ard_3-2-1_111082_2022-02-18_final
2022-02-18 10:12:19	ga_ls7e_ard_3-2-1_111083_2022-02-18_final
2022-02-25 08:38:33	ga_ls7e_ard_3-2-1_096082_2022-02-24_final
2022-02-28 09:08:22	ga_ls7e_ard_3-2-1_101080_2022-02-27_final
2022-03-12 07:52:13	ga_ls7e_ard_3-2-1_089078_2022-03-11_final
2022-03-19 07:59:17	ga_ls7e_ard_3-2-1_090082_2022-03-18_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-20 08:42:51	ga_ls7e_ard_3-2-1_097083_2022-03-19_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_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