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
2013-05-27 11:06:08	ga_ls7e_ard_3-0-0_108081_2013-05-27_final
2013-07-14 11:05:44	ga_ls7e_ard_3-0-0_108081_2013-07-14_final
2013-07-30 11:05:36	ga_ls7e_ard_3-0-0_108081_2013-07-30_final
2013-10-18 11:06:22	ga_ls7e_ard_3-0-0_108081_2013-10-18_final
2014-01-06 11:06:47	ga_ls7e_ard_3-0-0_108081_2014-01-06_final
2014-03-27 11:07:16	ga_ls7e_ard_3-0-0_108081_2014-03-27_final
2014-05-14 11:07:39	ga_ls7e_ard_3-0-0_108081_2014-05-14_final
2014-07-17 11:07:52	ga_ls7e_ard_3-0-0_108081_2014-07-17_final
2014-08-18 11:07:59	ga_ls7e_ard_3-0-0_108081_2014-08-18_final
2014-11-22 11:08:36	ga_ls7e_ard_3-0-0_108081_2014-11-22_final
2014-12-08 11:08:44	ga_ls7e_ard_3-0-0_108081_2014-12-08_final
2015-02-26 11:09:10	ga_ls7e_ard_3-0-0_108081_2015-02-26_final
2015-07-04 11:10:00	ga_ls7e_ard_3-0-0_108081_2015-07-04_final
2015-09-06 11:10:12	ga_ls7e_ard_3-0-0_108081_2015-09-06_final
2015-10-24 11:10:41	ga_ls7e_ard_3-0-0_108081_2015-10-24_final
2015-11-25 11:11:11	ga_ls7e_ard_3-0-0_108081_2015-11-25_final
2016-01-12 11:11:55	ga_ls7e_ard_3-0-0_108081_2016-01-12_final
2016-03-16 11:12:26	ga_ls7e_ard_3-0-0_108081_2016-03-16_final
2016-05-03 11:12:43	ga_ls7e_ard_3-0-0_108081_2016-05-03_final
2016-11-27 11:12:51	ga_ls7e_ard_3-0-0_108081_2016-11-27_final
2016-12-29 11:12:40	ga_ls7e_ard_3-0-0_108081_2016-12-29_final
2017-01-14 11:12:30	ga_ls7e_ard_3-0-0_108081_2017-01-14_final
2017-05-22 11:12:50	ga_ls7e_ard_3-0-0_108081_2017-05-22_final
2017-07-09 11:13:00	ga_ls7e_ard_3-0-0_108081_2017-07-09_final
2017-08-26 11:12:57	ga_ls7e_ard_3-0-0_108081_2017-08-26_final
2017-09-27 11:12:56	ga_ls7e_ard_3-0-0_108081_2017-09-27_final
2018-03-06 11:11:39	ga_ls7e_ard_3-0-0_108081_2018-03-06_final
2018-03-22 11:11:27	ga_ls7e_ard_3-0-0_108081_2018-03-22_final
2018-04-07 11:11:13	ga_ls7e_ard_3-0-0_108081_2018-04-07_final
2018-04-23 11:10:57	ga_ls7e_ard_3-0-0_108081_2018-04-23_final
2018-05-09 11:10:39	ga_ls7e_ard_3-0-0_108081_2018-05-09_final
2018-06-10 11:10:08	ga_ls7e_ard_3-0-0_108081_2018-06-10_final
2018-06-26 11:09:50	ga_ls7e_ard_3-0-0_108081_2018-06-26_final
2018-07-12 11:09:31	ga_ls7e_ard_3-0-0_108081_2018-07-12_final
2018-07-28 11:09:14	ga_ls7e_ard_3-0-0_108081_2018-07-28_final
2018-08-13 11:08:57	ga_ls7e_ard_3-0-0_108081_2018-08-13_final
2018-09-14 11:08:17	ga_ls7e_ard_3-0-0_108081_2018-09-14_final
2018-10-16 11:07:30	ga_ls7e_ard_3-0-0_108081_2018-10-16_final
2018-11-01 11:07:10	ga_ls7e_ard_3-0-0_108081_2018-11-01_final
2018-11-17 11:06:48	ga_ls7e_ard_3-0-0_108081_2018-11-17_final
2018-12-03 11:06:24	ga_ls7e_ard_3-0-0_108081_2018-12-03_final
2018-12-19 11:05:57	ga_ls7e_ard_3-0-0_108081_2018-12-19_final
2019-01-20 11:04:58	ga_ls7e_ard_3-0-0_108081_2019-01-20_final
2019-02-05 11:04:28	ga_ls7e_ard_3-0-0_108081_2019-02-05_final
2019-03-09 11:03:29	ga_ls7e_ard_3-1-0_108081_2019-03-09_final
2019-03-25 11:02:57	ga_ls7e_ard_3-1-0_108081_2019-03-25_final
2019-04-10 11:02:24	ga_ls7e_ard_3-0-0_108081_2019-04-10_final
2019-04-26 11:01:49	ga_ls7e_ard_3-0-0_108081_2019-04-26_final
2019-05-12 11:01:12	ga_ls7e_ard_3-0-0_108081_2019-05-12_final
2019-06-13 11:00:02	ga_ls7e_ard_3-0-0_108081_2019-06-13_final
2019-06-29 10:59:26	ga_ls7e_ard_3-0-0_108081_2019-06-29_final
2019-07-15 10:58:49	ga_ls7e_ard_3-0-0_108081_2019-07-15_final
2019-07-31 10:58:11	ga_ls7e_ard_3-0-0_108081_2019-07-31_final
2019-08-16 10:57:31	ga_ls7e_ard_3-0-0_108081_2019-08-16_final
2019-09-01 10:56:50	ga_ls7e_ard_3-1-0_108081_2019-09-01_final
2019-09-17 10:56:08	ga_ls7e_ard_3-1-0_108081_2019-09-17_final
2019-10-03 10:55:27	ga_ls7e_ard_3-1-0_108081_2019-10-03_final
2019-10-19 10:54:47	ga_ls7e_ard_3-1-0_108081_2019-10-19_final
2019-11-04 10:54:05	ga_ls7e_ard_3-1-0_108081_2019-11-04_final
2019-12-06 10:52:34	ga_ls7e_ard_3-1-0_108081_2019-12-06_final
2020-01-07 10:50:55	ga_ls7e_ard_3-1-0_108081_2020-01-07_final
2020-02-08 10:49:20	ga_ls7e_ard_3-1-0_108081_2020-02-08_final
2020-03-11 10:47:38	ga_ls7e_ard_3-1-0_108081_2020-03-11_final
2020-03-27 10:46:45	ga_ls7e_ard_3-1-0_108081_2020-03-27_final
2020-04-12 10:45:50	ga_ls7e_ard_3-1-0_108081_2020-04-12_final
2020-05-14 10:43:55	ga_ls7e_ard_3-1-0_108081_2020-05-14_final
2020-05-30 10:42:56	ga_ls7e_ard_3-1-0_108081_2020-05-30_final
2020-06-15 10:42:01	ga_ls7e_ard_3-1-0_108081_2020-06-15_final
2020-07-01 10:41:04	ga_ls7e_ard_3-1-0_108081_2020-07-01_final
2020-08-02 10:39:06	ga_ls7e_ard_3-1-0_108081_2020-08-02_final
2020-08-18 10:38:05	ga_ls7e_ard_3-1-0_108081_2020-08-18_final
2020-09-03 10:37:03	ga_ls7e_ard_3-1-0_108081_2020-09-03_final
2020-09-19 10:35:59	ga_ls7e_ard_3-1-0_108081_2020-09-19_final
2020-10-05 10:34:58	ga_ls7e_ard_3-1-0_108081_2020-10-05_final
2020-10-21 10:33:56	ga_ls7e_ard_3-1-0_108081_2020-10-21_final
2020-11-06 10:32:51	ga_ls7e_ard_3-1-0_108081_2020-11-06_final
2020-11-22 10:31:45	ga_ls7e_ard_3-1-0_108081_2020-11-22_final
2020-12-08 10:30:35	ga_ls7e_ard_3-1-0_108081_2020-12-08_final
2021-02-26 10:24:44	ga_ls7e_ard_3-2-0_108081_2021-02-26_final
2021-03-14 10:23:29	ga_ls7e_ard_3-2-0_108081_2021-03-14_final
2021-03-30 10:22:11	ga_ls7e_ard_3-2-0_108081_2021-03-30_final
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-05-01 10:19:31	ga_ls7e_ard_3-2-0_108081_2021-05-01_final
2021-05-17 10:18:10	ga_ls7e_ard_3-2-0_108081_2021-05-17_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-08-05 10:11:24	ga_ls7e_ard_3-2-0_108081_2021-08-05_final
2021-08-21 10:09:59	ga_ls7e_ard_3-2-0_108081_2021-08-21_final
2021-09-06 10:08:36	ga_ls7e_ard_3-2-0_108081_2021-09-06_final
2021-09-22 10:07:11	ga_ls7e_ard_3-2-0_108081_2021-09-22_final
2021-10-08 10:05:46	ga_ls7e_ard_3-2-0_108081_2021-10-08_final
2021-10-24 10:04:20	ga_ls7e_ard_3-2-0_108081_2021-10-24_final
2021-11-09 10:02:50	ga_ls7e_ard_3-2-0_108081_2021-11-09_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-12-11 09:59:46	ga_ls7e_ard_3-2-1_108081_2021-12-11_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-28 09:55:06	ga_ls7e_ard_3-2-1_108081_2022-01-28_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-17 09:50:19	ga_ls7e_ard_3-2-1_108081_2022-03-17_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