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
2000-03-25 09:42:59	ga_ls7e_ard_3-0-0_095082_2000-03-25_final
2000-03-25 09:43:47	ga_ls7e_ard_3-0-0_095084_2000-03-25_final
2001-01-23 09:40:07	ga_ls7e_ard_3-0-0_095080_2001-01-23_final
2001-03-12 09:40:43	ga_ls7e_ard_3-0-0_095082_2001-03-12_final
2001-03-12 09:41:31	ga_ls7e_ard_3-0-0_095084_2001-03-12_final
2001-04-29 09:40:53	ga_ls7e_ard_3-0-0_095083_2001-04-29_final
2001-05-15 09:40:40	ga_ls7e_ard_3-0-0_095083_2001-05-15_final
2002-01-10 09:39:57	ga_ls7e_ard_3-0-0_095084_2002-01-10_final
2002-01-26 09:39:15	ga_ls7e_ard_3-0-0_095082_2002-01-26_final
2002-05-02 09:38:50	ga_ls7e_ard_3-0-0_095081_2002-05-02_final
2002-06-03 09:39:24	ga_ls7e_ard_3-0-0_095083_2002-06-03_final
2002-07-21 09:40:17	ga_ls7e_ard_3-0-0_095086_2002-07-21_final
2009-03-02 09:39:38	ga_ls7e_ard_3-0-0_095080_2009-03-02_final
2011-08-31 09:43:22	ga_ls7e_ard_3-0-0_095081_2011-08-31_final
2011-10-02 09:42:27	ga_ls7e_ard_3-1-0_095079_2011-10-02_final
2013-04-30 09:45:06	ga_ls7e_ard_3-1-0_095079_2013-04-30_final
2013-04-30 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-04-30_final
2013-08-20 09:44:32	ga_ls7e_ard_3-1-0_095079_2013-08-20_final
2013-08-20 09:45:20	ga_ls7e_ard_3-0-0_095081_2013-08-20_final
2013-09-21 09:45:41	ga_ls7e_ard_3-0-0_095081_2013-09-21_final
2014-02-12 09:46:01	ga_ls7e_ard_3-1-0_095079_2014-02-12_final
2014-05-03 09:47:13	ga_ls7e_ard_3-0-0_095081_2014-05-03_final
2014-08-07 09:47:39	ga_ls7e_ard_3-0-0_095081_2014-08-07_final
2014-08-23 09:46:49	ga_ls7e_ard_3-1-0_095079_2014-08-23_final
2014-12-13 09:47:39	ga_ls7e_ard_3-1-0_095079_2014-12-13_final
2015-03-03 09:48:28	ga_ls7e_ard_3-0-0_095080_2015-03-03_final
2015-05-22 09:48:39	ga_ls7e_ard_3-1-0_095079_2015-05-22_final
2017-02-20 09:51:12	ga_ls7e_ard_3-1-0_095079_2017-02-20_final
2017-05-11 09:52:28	ga_ls7e_ard_3-0-0_095081_2017-05-11_final
2017-05-11 09:53:16	ga_ls7e_ard_3-0-0_095083_2017-05-11_final
2018-08-02 09:48:49	ga_ls7e_ard_3-0-0_095081_2018-08-02_final
2020-06-20 09:20:35	ga_ls7e_ard_3-1-0_095079_2020-06-19_final
2020-09-08 09:15:35	ga_ls7e_ard_3-1-0_095079_2020-09-07_final
2020-12-13 09:09:04	ga_ls7e_ard_3-1-0_095079_2020-12-12_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-17 09:12:52	ga_ls7e_ard_3-2-0_097075_2021-03-16_final
2021-03-18 09:58:03	ga_ls7e_ard_3-2-0_104080_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-04-02 09:11:34	ga_ls7e_ard_3-2-0_097075_2021-04-01_final
2021-04-11 09:05:27	ga_ls7e_ard_3-2-0_096077_2021-04-10_final
2021-04-12 09:47:49	ga_ls7e_ard_3-2-0_103075_2021-04-12_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-04-25 09:18:37	ga_ls7e_ard_3-2-0_098082_2021-04-24_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-04 10:47:46	ga_ls7e_ard_3-2-0_113075_2021-05-04_final
2021-05-06 08:57:34	ga_ls7e_ard_3-2-0_095078_2021-05-05_final
2021-05-07 09:41:32	ga_ls7e_ard_3-2-0_102080_2021-05-07_final
2021-05-11 09:14:29	ga_ls7e_ard_3-2-0_098075_2021-05-10_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-13 09:02:21	ga_ls7e_ard_3-2-0_096076_2021-05-12_final
2021-05-16 09:35:00	ga_ls7e_ard_3-2-0_101081_2021-05-16_final
2021-05-20 10:46:25	ga_ls7e_ard_3-2-0_113075_2021-05-20_final
2021-05-23 09:40:35	ga_ls7e_ard_3-2-0_102081_2021-05-23_final
2021-06-06 09:51:21	ga_ls7e_ard_3-2-0_104080_2021-06-06_final
2021-06-14 09:00:04	ga_ls7e_ard_3-2-0_096077_2021-06-13_final
2021-06-23 10:32:26	ga_ls7e_ard_3-2-0_111078_2021-06-23_final
2021-06-27 10:07:23	ga_ls7e_ard_3-2-0_107078_2021-06-27_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-09 08:51:49	ga_ls7e_ard_3-2-0_095077_2021-07-08_final
2021-07-09 08:52:13	ga_ls7e_ard_3-2-0_095078_2021-07-08_final
2021-08-04 09:27:26	ga_ls7e_ard_3-2-0_101079_2021-08-03_final
2021-08-05 10:10:12	ga_ls7e_ard_3-2-0_108078_2021-08-05_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-17 08:54:11	ga_ls7e_ard_3-2-0_096076_2021-08-16_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-08-21 10:08:23	ga_ls7e_ard_3-2-0_108077_2021-08-21_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-09-02 10:34:52	ga_ls7e_ard_3-2-0_112084_2021-09-02_final
2021-09-04 08:40:40	ga_ls7e_ard_3-2-0_094077_2021-09-03_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-22 10:05:59	ga_ls7e_ard_3-2-0_108078_2021-09-22_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-26 09:39:42	ga_ls7e_ard_3-2-0_104075_2021-09-26_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-13 10:18:41	ga_ls7e_ard_3-2-0_111068_2021-10-13_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-12-17 09:21:43	ga_ls7e_ard_3-2-1_102080_2021-12-16_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-04 10:00:35	ga_ls7e_ard_3-2-1_109081_2022-02-04_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_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
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years