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
2014-08-14 09:48:14	ga_ls7e_ard_3-0-0_096067_2014-08-14_final
2014-10-01 09:48:27	ga_ls7e_ard_3-0-0_096067_2014-10-01_final
2014-11-18 09:48:49	ga_ls7e_ard_3-0-0_096067_2014-11-18_final
2014-12-20 09:49:07	ga_ls7e_ard_3-0-0_096067_2014-12-20_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2015-06-30 09:50:14	ga_ls7e_ard_3-0-0_096067_2015-06-30_final
2015-11-21 09:51:23	ga_ls7e_ard_3-0-0_096067_2015-11-21_final
2015-12-23 09:51:52	ga_ls7e_ard_3-0-0_096067_2015-12-23_final
2016-04-29 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-04-29_final
2016-05-31 09:53:05	ga_ls7e_ard_3-0-0_096067_2016-05-31_final
2016-06-16 09:53:09	ga_ls7e_ard_3-0-0_096067_2016-06-16_final
2016-07-02 09:53:09	ga_ls7e_ard_3-0-0_096067_2016-07-02_final
2016-07-18 09:53:10	ga_ls7e_ard_3-0-0_096067_2016-07-18_final
2016-08-03 09:53:12	ga_ls7e_ard_3-0-0_096067_2016-08-03_final
2016-09-04 09:53:17	ga_ls7e_ard_3-0-0_096067_2016-09-04_final
2016-10-06 09:53:21	ga_ls7e_ard_3-0-0_096067_2016-10-06_final
2016-11-07 09:53:12	ga_ls7e_ard_3-0-0_096067_2016-11-07_final
2016-11-23 09:53:07	ga_ls7e_ard_3-0-0_096067_2016-11-23_final
2016-12-25 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-12-25_final
2017-03-31 09:52:50	ga_ls7e_ard_3-0-0_096067_2017-03-31_final
2017-04-16 09:52:56	ga_ls7e_ard_3-0-0_096067_2017-04-16_final
2017-06-03 09:53:09	ga_ls7e_ard_3-0-0_096067_2017-06-03_final
2017-06-19 09:53:13	ga_ls7e_ard_3-0-0_096067_2017-06-19_final
2017-07-05 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-05_final
2017-07-21 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-21_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-09-23 09:53:10	ga_ls7e_ard_3-0-0_096067_2017-09-23_final
2017-10-09 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-10-09_final
2017-10-25 09:53:14	ga_ls7e_ard_3-0-0_096067_2017-10-25_final
2017-11-10 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-11-10_final
2017-11-26 09:53:07	ga_ls7e_ard_3-0-0_096067_2017-11-26_final
2017-12-28 09:52:48	ga_ls7e_ard_3-0-0_096067_2017-12-28_final
2018-01-13 09:52:35	ga_ls7e_ard_3-0-0_096067_2018-01-13_final
2018-02-14 09:52:07	ga_ls7e_ard_3-0-0_096067_2018-02-14_final
2018-03-02 09:51:57	ga_ls7e_ard_3-0-0_096067_2018-03-02_final
2018-04-03 09:51:32	ga_ls7e_ard_3-0-0_096067_2018-04-03_final
2018-04-19 09:51:16	ga_ls7e_ard_3-0-0_096067_2018-04-19_final
2018-05-05 09:50:58	ga_ls7e_ard_3-0-0_096067_2018-05-05_final
2018-05-21 09:50:43	ga_ls7e_ard_3-0-0_096067_2018-05-21_final
2018-06-06 09:50:28	ga_ls7e_ard_3-0-0_096067_2018-06-06_final
2018-06-22 09:50:10	ga_ls7e_ard_3-0-0_096067_2018-06-22_final
2018-07-08 09:49:51	ga_ls7e_ard_3-0-0_096067_2018-07-08_final
2018-07-24 09:49:34	ga_ls7e_ard_3-0-0_096067_2018-07-24_final
2018-08-09 09:49:17	ga_ls7e_ard_3-0-0_096067_2018-08-09_final
2018-09-10 09:48:37	ga_ls7e_ard_3-0-0_096067_2018-09-10_final
2018-09-26 09:48:15	ga_ls7e_ard_3-0-0_096067_2018-09-26_final
2018-10-12 09:47:52	ga_ls7e_ard_3-0-0_096067_2018-10-12_final
2018-11-13 09:47:09	ga_ls7e_ard_3-0-0_096067_2018-11-13_final
2018-11-29 09:46:45	ga_ls7e_ard_3-0-0_096067_2018-11-29_final
2018-12-31 09:45:51	ga_ls7e_ard_3-0-0_096067_2018-12-31_final
2019-01-16 09:45:21	ga_ls7e_ard_3-0-0_096067_2019-01-16_final
2019-02-17 09:44:22	ga_ls7e_ard_3-1-0_096067_2019-02-17_final
2019-03-05 09:43:52	ga_ls7e_ard_3-1-0_096067_2019-03-05_final
2019-04-22 09:42:13	ga_ls7e_ard_3-0-0_096067_2019-04-22_final
2019-05-08 09:41:37	ga_ls7e_ard_3-0-0_096067_2019-05-08_final
2019-06-09 09:40:26	ga_ls7e_ard_3-0-0_096067_2019-06-09_final
2019-07-11 09:39:14	ga_ls7e_ard_3-0-0_096067_2019-07-11_final
2019-07-27 09:38:35	ga_ls7e_ard_3-0-0_096067_2019-07-27_final
2019-08-28 09:37:16	ga_ls7e_ard_3-1-0_096067_2019-08-28_final
2019-09-13 09:36:34	ga_ls7e_ard_3-1-0_096067_2019-09-13_final
2019-09-29 09:35:52	ga_ls7e_ard_3-1-0_096067_2019-09-29_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2019-11-16 09:33:47	ga_ls7e_ard_3-1-0_096067_2019-11-16_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2019-12-18 09:32:13	ga_ls7e_ard_3-1-0_096067_2019-12-18_final
2020-01-19 09:30:35	ga_ls7e_ard_3-1-0_096067_2020-01-19_final
2020-02-20 09:28:57	ga_ls7e_ard_3-1-0_096067_2020-02-19_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-03-23 09:27:13	ga_ls7e_ard_3-1-0_096067_2020-03-22_final
2020-04-08 09:26:19	ga_ls7e_ard_3-1-0_096067_2020-04-07_final
2020-04-24 09:25:23	ga_ls7e_ard_3-1-0_096067_2020-04-23_final
2020-05-10 09:24:25	ga_ls7e_ard_3-1-0_096067_2020-05-09_final
2020-05-26 09:23:25	ga_ls7e_ard_3-1-0_096067_2020-05-25_final
2020-06-11 09:22:30	ga_ls7e_ard_3-1-0_096067_2020-06-10_final
2020-06-27 09:21:34	ga_ls7e_ard_3-1-0_096067_2020-06-26_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-30 09:17:34	ga_ls7e_ard_3-1-0_096067_2020-08-29_final
2020-09-15 09:16:31	ga_ls7e_ard_3-1-0_096067_2020-09-14_final
2020-11-02 09:13:23	ga_ls7e_ard_3-1-0_096067_2020-11-01_final
2020-11-18 09:12:17	ga_ls7e_ard_3-1-0_096067_2020-11-17_final
2020-12-04 09:11:08	ga_ls7e_ard_3-1-0_096067_2020-12-03_final
2020-12-20 09:09:55	ga_ls7e_ard_3-1-0_096067_2020-12-19_final
2021-01-05 09:08:48	ga_ls7e_ard_3-1-0_096067_2021-01-04_final
2021-01-21 09:07:40	ga_ls7e_ard_3-2-0_096067_2021-01-20_final
2021-02-06 09:06:30	ga_ls7e_ard_3-2-0_096067_2021-02-05_final
2021-02-22 09:05:18	ga_ls7e_ard_3-2-0_096067_2021-02-21_final
2021-03-10 09:04:03	ga_ls7e_ard_3-2-0_096067_2021-03-09_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-04-11 09:01:27	ga_ls7e_ard_3-2-0_096067_2021-04-10_final
2021-05-13 08:58:46	ga_ls7e_ard_3-2-0_096067_2021-05-12_final
2021-05-29 08:57:24	ga_ls7e_ard_3-2-0_096067_2021-05-28_final
2021-06-14 08:56:05	ga_ls7e_ard_3-2-0_096067_2021-06-13_final
2021-06-30 08:54:46	ga_ls7e_ard_3-2-0_096067_2021-06-29_final
2021-07-16 08:53:24	ga_ls7e_ard_3-2-0_096067_2021-07-15_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-17 08:50:35	ga_ls7e_ard_3-2-0_096067_2021-08-16_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-10-04 08:46:22	ga_ls7e_ard_3-2-0_096067_2021-10-03_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years