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
2000-10-21 11:06:44	ga_ls7e_ard_3-1-0_109081_2000-10-21_final
2000-11-03 10:31:35	ga_ls7e_ard_3-1-0_104070_2000-11-03_final
2000-12-08 09:29:58	ga_ls7e_ard_3-1-0_093086_2000-12-07_final
2001-05-05 09:02:58	ga_ls7e_ard_3-1-0_089081_2001-05-04_final
2001-06-02 11:06:14	ga_ls7e_ard_3-1-0_109081_2001-06-02_final
2001-08-05 09:27:30	ga_ls7e_ard_3-1-0_093083_2001-08-04_final
2002-04-22 09:01:41	ga_ls7e_ard_3-1-0_089081_2002-04-21_final
2002-08-09 10:10:16	ga_ls7e_ard_3-1-0_100084_2002-08-09_final
2002-08-28 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-08-27_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2002-12-21 09:32:55	ga_ls7e_ard_3-1-0_094083_2002-12-21_final
2003-04-01 09:49:04	ga_ls7e_ard_3-1-0_097076_2003-04-01_final
2003-04-02 10:29:57	ga_ls7e_ard_3-1-0_104070_2003-04-02_final
2004-09-26 09:48:58	ga_ls7e_ard_3-1-0_097076_2004-09-26_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2006-06-13 10:34:50	ga_ls7e_ard_3-1-0_104079_2006-06-13_final
2008-03-01 09:28:14	ga_ls7e_ard_3-1-0_093082_2008-02-29_final
2010-04-13 11:25:41	ga_ls7e_ard_3-1-0_112077_2010-04-13_final
2010-10-01 09:28:15	ga_ls7e_ard_3-1-0_093077_2010-09-30_final
2012-04-18 11:28:20	ga_ls7e_ard_3-1-0_112079_2012-04-18_final
2014-08-25 09:36:03	ga_ls7e_ard_3-1-0_093083_2014-08-25_final
2014-10-03 09:42:30	ga_ls7e_ard_3-1-0_094083_2014-10-03_final
2019-03-07 09:35:26	ga_ls7e_ard_3-1-0_094077_2019-03-07_final
2019-03-07 09:36:14	ga_ls7e_ard_3-1-0_094079_2019-03-07_final
2019-03-21 11:26:13	ga_ls7e_ard_3-1-0_112077_2019-03-21_final
2019-03-29 10:34:06	ga_ls7e_ard_3-1-0_104071_2019-03-29_final
2019-08-14 09:29:53	ga_ls7e_ard_3-1-0_094078_2019-08-13_final
2019-09-04 11:25:37	ga_ls7e_ard_3-1-0_113076_2019-09-04_final
2019-09-13 11:19:26	ga_ls7e_ard_3-1-0_112077_2019-09-13_final
2019-09-14 10:22:58	ga_ls7e_ard_3-1-0_103075_2019-09-14_final
2019-10-26 09:22:10	ga_ls7e_ard_3-1-0_093082_2019-10-25_final
2019-12-13 09:19:55	ga_ls7e_ard_3-1-0_093082_2019-12-12_final
2020-03-23 11:10:53	ga_ls7e_ard_3-1-0_112079_2020-03-23_final
2020-03-25 09:18:20	ga_ls7e_ard_3-1-0_094076_2020-03-24_final
2020-04-24 11:07:27	ga_ls7e_ard_3-1-0_112075_2020-04-24_final
2020-04-26 09:16:53	ga_ls7e_ard_3-1-0_094077_2020-04-25_final
2020-08-14 11:02:16	ga_ls7e_ard_3-1-0_112079_2020-08-14_final
2020-08-16 09:10:30	ga_ls7e_ard_3-1-0_094078_2020-08-15_final
2020-08-18 08:58:01	ga_ls7e_ard_3-1-0_092078_2020-08-17_final
2020-08-22 10:12:19	ga_ls7e_ard_3-1-0_104079_2020-08-22_final
2020-08-22 10:12:43	ga_ls7e_ard_3-1-0_104080_2020-08-22_final
2020-09-10 10:41:58	ga_ls7e_ard_3-1-0_109079_2020-09-10_final
2020-09-14 10:16:11	ga_ls7e_ard_3-1-0_105077_2020-09-14_final
2020-09-15 10:59:23	ga_ls7e_ard_3-1-0_112077_2020-09-15_final
2020-09-24 09:14:07	ga_ls7e_ard_3-1-0_095078_2020-09-23_final
2020-10-01 09:18:40	ga_ls7e_ard_3-1-0_096075_2020-09-30_final
2020-10-01 10:58:44	ga_ls7e_ard_3-1-0_112078_2020-10-01_final
2020-10-04 09:50:58	ga_ls7e_ard_3-1-0_101079_2020-10-04_final
2020-10-10 10:52:23	ga_ls7e_ard_3-1-0_111079_2020-10-10_final
2020-10-12 09:01:01	ga_ls7e_ard_3-1-0_093079_2020-10-11_final
2020-10-17 10:58:07	ga_ls7e_ard_3-1-0_112079_2020-10-17_final
2020-10-26 10:51:20	ga_ls7e_ard_3-1-0_111079_2020-10-26_final
2020-10-30 08:47:28	ga_ls7e_ard_3-1-0_091079_2020-10-29_final
2020-10-30 10:27:33	ga_ls7e_ard_3-1-0_107082_2020-10-30_final
2020-11-06 10:28:04	ga_ls7e_ard_3-1-0_108069_2020-11-06_final
2020-11-22 10:30:33	ga_ls7e_ard_3-1-0_108078_2020-11-22_final
2020-11-27 09:09:51	ga_ls7e_ard_3-1-0_095078_2020-11-26_final
2020-12-05 09:57:30	ga_ls7e_ard_3-1-0_103075_2020-12-05_final
2020-12-08 10:28:35	ga_ls7e_ard_3-1-0_108076_2020-12-08_final
2020-12-20 09:13:31	ga_ls7e_ard_3-1-0_096076_2020-12-19_final
2021-01-09 10:24:41	ga_ls7e_ard_3-1-0_108072_2021-01-09_final
2021-02-26 10:23:08	ga_ls7e_ard_3-2-0_108077_2021-02-26_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-22 09:31:24	ga_ls7e_ard_3-2-0_100076_2021-03-22_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-05-22 10:34:41	ga_ls7e_ard_3-2-0_111077_2021-05-22_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-06-22 09:50:27	ga_ls7e_ard_3-2-0_104081_2021-06-22_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-10 09:41:08	ga_ls7e_ard_3-2-0_104075_2021-09-10_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-12-09 08:31:27	ga_ls7e_ard_3-2-1_094076_2021-12-08_final
2022-01-05 09:49:55	ga_ls7e_ard_3-2-1_107078_2022-01-05_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-03-06 08:31:06	ga_ls7e_ard_3-2-1_095081_2022-03-05_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_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