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
1999-08-04 10:44:18	ga_ls7e_ard_3-1-0_105080_1999-08-04_final
1999-09-06 11:26:23	ga_ls7e_ard_3-1-0_112077_1999-09-06_final
1999-12-02 09:53:10	ga_ls7e_ard_3-1-0_097076_1999-12-02_final
1999-12-06 09:30:07	ga_ls7e_ard_3-1-0_093080_1999-12-06_final
2000-01-05 11:22:06	ga_ls7e_ard_3-1-0_111082_2000-01-05_final
2000-07-25 10:15:54	ga_ls7e_ard_3-1-0_101075_2000-07-25_final
2001-01-16 09:35:05	ga_ls7e_ard_3-1-0_094083_2001-01-16_final
2001-01-29 10:41:54	ga_ls7e_ard_3-1-0_105080_2001-01-29_final
2001-04-12 10:31:20	ga_ls7e_ard_3-1-0_104070_2001-04-12_final
2001-04-20 09:45:05	ga_ls7e_ard_3-1-0_096078_2001-04-20_final
2001-06-07 09:43:25	ga_ls7e_ard_3-1-0_096075_2001-06-07_final
2001-06-11 10:55:58	ga_ls7e_ard_3-1-0_108071_2001-06-11_final
2001-06-25 09:33:59	ga_ls7e_ard_3-1-0_094083_2001-06-25_final
2001-07-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2001-07-25_final
2001-09-04 11:17:53	ga_ls7e_ard_3-1-0_111082_2001-09-04_final
2002-02-01 10:40:12	ga_ls7e_ard_3-1-0_105080_2002-02-01_final
2002-07-27 10:36:51	ga_ls7e_ard_3-1-0_105073_2002-07-27_final
2002-12-21 09:30:07	ga_ls7e_ard_3-1-0_094076_2002-12-21_final
2003-01-13 09:37:36	ga_ls7e_ard_3-1-0_095079_2003-01-13_final
2003-03-27 09:30:04	ga_ls7e_ard_3-1-0_094075_2003-03-27_final
2003-04-12 09:33:22	ga_ls7e_ard_3-1-0_094083_2003-04-12_final
2003-04-17 09:49:07	ga_ls7e_ard_3-1-0_097076_2003-04-17_final
2003-11-29 09:37:52	ga_ls7e_ard_3-1-0_095079_2003-11-29_final
2005-08-12 09:49:42	ga_ls7e_ard_3-1-0_097076_2005-08-12_final
2005-12-29 09:34:20	ga_ls7e_ard_3-1-0_094083_2005-12-29_final
2006-03-26 09:39:17	ga_ls7e_ard_3-1-0_095079_2006-03-26_final
2006-05-28 10:34:53	ga_ls7e_ard_3-1-0_104079_2006-05-28_final
2007-02-18 09:35:03	ga_ls7e_ard_3-1-0_094083_2007-02-18_final
2007-08-20 09:39:12	ga_ls7e_ard_3-1-0_095079_2007-08-20_final
2009-09-03 09:34:47	ga_ls7e_ard_3-1-0_094083_2009-09-03_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2014-03-03 10:17:39	ga_ls7e_ard_3-1-0_100081_2014-03-03_final
2014-08-03 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-03_final
2014-09-08 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-09-08_final
2014-10-01 11:31:19	ga_ls7e_ard_3-1-0_112077_2014-10-01_final
2014-11-22 09:30:07	ga_ls7e_ard_3-1-0_092082_2014-11-22_final
2015-01-13 10:43:23	ga_ls7e_ard_3-1-0_104079_2015-01-13_final
2017-02-04 09:51:11	ga_ls7e_ard_3-1-0_095079_2017-02-04_final
2018-05-20 10:51:33	ga_ls7e_ard_3-1-0_105080_2018-05-20_final
2018-07-23 10:50:23	ga_ls7e_ard_3-1-0_105080_2018-07-23_final
2019-03-04 10:43:54	ga_ls7e_ard_3-1-0_105078_2019-03-04_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-12 09:56:12	ga_ls7e_ard_3-1-0_097083_2019-03-12_final
2019-06-18 09:38:42	ga_ls7e_ard_3-1-0_095079_2019-06-18_final
2019-08-28 09:39:39	ga_ls7e_ard_3-1-0_096073_2019-08-28_final
2019-08-31 10:13:13	ga_ls7e_ard_3-1-0_101080_2019-08-31_final
2019-09-05 10:30:45	ga_ls7e_ard_3-1-0_104078_2019-09-05_final
2019-09-17 10:54:56	ga_ls7e_ard_3-1-0_108078_2019-09-17_final
2019-10-02 10:11:50	ga_ls7e_ard_3-1-0_101080_2019-10-02_final
2019-10-10 11:00:56	ga_ls7e_ard_3-1-0_109080_2019-10-10_final
2019-10-15 11:18:52	ga_ls7e_ard_3-1-0_112079_2019-10-15_final
2019-10-24 09:32:14	ga_ls7e_ard_3-1-0_095076_2019-10-24_final
2019-11-01 10:20:55	ga_ls7e_ard_3-1-0_103075_2019-11-01_final
2019-11-04 10:52:53	ga_ls7e_ard_3-1-0_108078_2019-11-04_final
2019-11-18 09:25:43	ga_ls7e_ard_3-1-0_094078_2019-11-17_final
2019-11-25 09:30:46	ga_ls7e_ard_3-1-0_095076_2019-11-25_final
2019-11-27 09:20:42	ga_ls7e_ard_3-1-0_093082_2019-11-26_final
2019-12-17 10:32:40	ga_ls7e_ard_3-1-0_105079_2019-12-17_final
2019-12-27 09:29:34	ga_ls7e_ard_3-1-0_095077_2019-12-26_final
2019-12-27 09:30:21	ga_ls7e_ard_3-1-0_095079_2019-12-27_final
2020-01-19 09:33:47	ga_ls7e_ard_3-1-0_096075_2020-01-19_final
2020-01-19 09:34:34	ga_ls7e_ard_3-1-0_096077_2020-01-19_final
2020-02-13 11:06:49	ga_ls7e_ard_3-1-0_111079_2020-02-13_final
2020-03-07 11:11:46	ga_ls7e_ard_3-1-0_112079_2020-03-07_final
2020-04-11 09:59:02	ga_ls7e_ard_3-1-0_101072_2020-04-11_final
2020-04-22 09:40:15	ga_ls7e_ard_3-1-0_098073_2020-04-22_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-03-04 09:45:59	ga_ls7e_ard_3-2-0_102078_2021-03-04_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-18 09:56:51	ga_ls7e_ard_3-2-0_104077_2021-03-18_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-26 10:45:39	ga_ls7e_ard_3-2-0_112077_2021-03-26_final
2021-04-03 09:55:57	ga_ls7e_ard_3-2-0_104078_2021-04-03_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-04-29 08:53:57	ga_ls7e_ard_3-2-0_094083_2021-04-28_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-07-10 09:35:23	ga_ls7e_ard_3-2-0_102078_2021-07-10_final
2021-08-01 10:35:41	ga_ls7e_ard_3-2-0_112079_2021-08-01_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-25 09:43:44	ga_ls7e_ard_3-2-0_104078_2021-08-25_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-12 09:29:00	ga_ls7e_ard_3-2-0_102076_2021-09-11_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-28 09:38:27	ga_ls7e_ard_3-2-0_104079_2021-10-28_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_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