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
2001-02-26 09:22:23	ga_ls7e_ard_3-1-0_093067_2001-02-25_final
2001-04-15 09:22:10	ga_ls7e_ard_3-1-0_093067_2001-04-14_final
2002-04-13 09:08:18	ga_ls7e_ard_3-1-0_090082_2002-04-12_final
2002-11-23 09:07:14	ga_ls7e_ard_3-1-0_090081_2002-11-22_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2003-12-12 09:08:15	ga_ls7e_ard_3-1-0_090082_2003-12-11_final
2004-11-28 09:08:35	ga_ls7e_ard_3-1-0_090082_2004-11-27_final
2005-06-24 09:08:54	ga_ls7e_ard_3-1-0_090082_2005-06-23_final
2005-08-11 09:07:15	ga_ls7e_ard_3-1-0_090078_2005-08-10_final
2007-11-05 09:09:31	ga_ls7e_ard_3-1-0_090082_2007-11-04_final
2008-03-01 09:22:15	ga_ls7e_ard_3-1-0_093067_2008-02-29_final
2008-03-01 09:22:39	ga_ls7e_ard_3-1-0_093068_2008-02-29_final
2008-05-31 09:09:22	ga_ls7e_ard_3-1-0_090082_2008-05-30_final
2008-07-02 09:09:03	ga_ls7e_ard_3-1-0_090082_2008-07-01_final
2008-08-03 09:08:44	ga_ls7e_ard_3-1-0_090082_2008-08-02_final
2009-03-15 09:09:39	ga_ls7e_ard_3-1-0_090082_2009-03-14_final
2009-06-19 09:09:55	ga_ls7e_ard_3-1-0_090082_2009-06-18_final
2009-11-26 09:10:14	ga_ls7e_ard_3-1-0_090082_2009-11-25_final
2010-06-22 09:11:39	ga_ls7e_ard_3-1-0_090082_2010-06-21_final
2012-02-04 09:13:34	ga_ls7e_ard_3-1-0_090082_2012-02-03_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2014-06-17 09:16:53	ga_ls7e_ard_3-1-0_090082_2014-06-16_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-08-07 09:19:18	ga_ls7e_ard_3-1-0_090082_2015-08-06_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2016-02-15 09:21:22	ga_ls7e_ard_3-1-0_090082_2016-02-14_final
2016-09-10 09:22:12	ga_ls7e_ard_3-1-0_090082_2016-09-09_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2018-07-14 09:18:38	ga_ls7e_ard_3-1-0_090082_2018-07-13_final
2018-08-15 09:18:04	ga_ls7e_ard_3-1-0_090082_2018-08-14_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2018-10-18 09:16:37	ga_ls7e_ard_3-1-0_090082_2018-10-17_final
2018-11-03 09:16:17	ga_ls7e_ard_3-1-0_090082_2018-11-02_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-02-23 09:12:41	ga_ls7e_ard_3-1-0_090081_2019-02-22_final
2019-02-23 09:13:05	ga_ls7e_ard_3-1-0_090082_2019-02-22_final
2019-03-11 09:10:59	ga_ls7e_ard_3-1-0_090078_2019-03-10_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-27 09:11:39	ga_ls7e_ard_3-1-0_090081_2019-03-26_final
2019-03-27 09:12:03	ga_ls7e_ard_3-1-0_090082_2019-03-26_final
2019-07-17 09:07:54	ga_ls7e_ard_3-1-0_090082_2019-07-16_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-03 09:05:54	ga_ls7e_ard_3-1-0_090082_2019-09-02_final
2019-09-19 09:03:36	ga_ls7e_ard_3-1-0_090078_2019-09-18_final
2019-09-19 09:04:48	ga_ls7e_ard_3-1-0_090081_2019-09-18_final
2019-09-19 09:05:12	ga_ls7e_ard_3-1-0_090082_2019-09-18_final
2019-10-05 09:02:56	ga_ls7e_ard_3-1-0_090078_2019-10-04_final
2019-10-05 09:04:08	ga_ls7e_ard_3-1-0_090081_2019-10-04_final
2019-10-21 09:03:27	ga_ls7e_ard_3-1-0_090081_2019-10-20_final
2019-10-21 09:03:51	ga_ls7e_ard_3-1-0_090082_2019-10-20_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-12-08 09:00:02	ga_ls7e_ard_3-1-0_090078_2019-12-07_final
2019-12-08 09:01:13	ga_ls7e_ard_3-1-0_090081_2019-12-07_final
2019-12-08 09:01:37	ga_ls7e_ard_3-1-0_090082_2019-12-07_final
2019-12-24 08:59:13	ga_ls7e_ard_3-1-0_090078_2019-12-23_final
2019-12-24 09:00:25	ga_ls7e_ard_3-1-0_090081_2019-12-23_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2020-01-09 08:59:35	ga_ls7e_ard_3-1-0_090081_2020-01-08_final
2020-01-09 08:59:59	ga_ls7e_ard_3-1-0_090082_2020-01-08_final
2020-01-25 08:58:48	ga_ls7e_ard_3-1-0_090081_2020-01-24_final
2020-01-25 08:59:12	ga_ls7e_ard_3-1-0_090082_2020-01-24_final
2020-02-10 08:57:59	ga_ls7e_ard_3-1-0_090081_2020-02-09_final
2020-02-10 08:58:23	ga_ls7e_ard_3-1-0_090082_2020-02-09_final
2020-02-26 08:57:33	ga_ls7e_ard_3-1-0_090082_2020-02-25_final
2020-03-13 08:56:17	ga_ls7e_ard_3-1-0_090081_2020-03-12_final
2020-03-13 08:56:41	ga_ls7e_ard_3-1-0_090082_2020-03-12_final
2020-03-29 08:55:23	ga_ls7e_ard_3-1-0_090081_2020-03-28_final
2020-03-29 08:55:47	ga_ls7e_ard_3-1-0_090082_2020-03-28_final
2020-04-14 08:53:17	ga_ls7e_ard_3-1-0_090078_2020-04-13_final
2020-04-14 08:54:28	ga_ls7e_ard_3-1-0_090081_2020-04-13_final
2020-04-14 08:54:52	ga_ls7e_ard_3-1-0_090082_2020-04-13_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-26 08:03:13	ga_ls7e_ard_3-2-1_091078_2022-03-25_final
2022-03-26 08:03:37	ga_ls7e_ard_3-2-1_091079_2022-03-25_final
2022-03-28 07:50:40	ga_ls7e_ard_3-2-1_089078_2022-03-27_final
2022-03-28 07:51:52	ga_ls7e_ard_3-2-1_089081_2022-03-27_final
2022-03-28 07:52:16	ga_ls7e_ard_3-2-1_089082_2022-03-27_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_final
2022-03-28 07:53:04	ga_ls7e_ard_3-2-1_089084_2022-03-27_final
2022-03-28 07:53:52	ga_ls7e_ard_3-2-1_089086_2022-03-27_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-04 07:54:58	ga_ls7e_ard_3-2-1_090075_2022-04-03_final
2022-04-04 07:55:46	ga_ls7e_ard_3-2-1_090077_2022-04-03_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_2022-04-03_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_final
2022-04-04 07:57:22	ga_ls7e_ard_3-2-1_090081_2022-04-03_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_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