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
2014-07-07 10:27:35	ga_ls7e_ard_3-0-0_102073_2014-07-07_final
2014-07-23 10:27:38	ga_ls7e_ard_3-0-0_102073_2014-07-23_final
2014-08-08 10:27:43	ga_ls7e_ard_3-0-0_102073_2014-08-08_final
2014-08-24 10:27:41	ga_ls7e_ard_3-0-0_102073_2014-08-24_final
2014-09-09 10:27:43	ga_ls7e_ard_3-0-0_102073_2014-09-09_final
2014-09-25 10:27:49	ga_ls7e_ard_3-0-0_102073_2014-09-25_final
2014-10-11 10:28:01	ga_ls7e_ard_3-0-0_102073_2014-10-11_final
2014-10-27 10:28:10	ga_ls7e_ard_3-0-0_102073_2014-10-27_final
2014-11-12 10:28:19	ga_ls7e_ard_3-0-0_102073_2014-11-12_final
2014-11-28 10:28:24	ga_ls7e_ard_3-0-0_102073_2014-11-28_final
2014-12-14 10:28:32	ga_ls7e_ard_3-0-0_102073_2014-12-14_final
2015-01-15 10:28:38	ga_ls7e_ard_3-0-0_102073_2015-01-15_final
2015-01-31 10:28:44	ga_ls7e_ard_3-0-0_102073_2015-01-31_final
2015-02-16 10:28:46	ga_ls7e_ard_3-0-0_102073_2015-02-16_final
2015-03-04 10:28:56	ga_ls7e_ard_3-0-0_102073_2015-03-04_final
2015-03-20 10:29:04	ga_ls7e_ard_3-0-0_102073_2015-03-20_final
2015-04-05 10:29:11	ga_ls7e_ard_3-0-0_102073_2015-04-05_final
2015-04-21 10:29:17	ga_ls7e_ard_3-0-0_102073_2015-04-21_final
2015-05-07 10:29:25	ga_ls7e_ard_3-0-0_102073_2015-05-07_final
2015-05-23 10:29:31	ga_ls7e_ard_3-0-0_102073_2015-05-23_final
2015-06-08 10:29:39	ga_ls7e_ard_3-0-0_102073_2015-06-08_final
2015-06-24 10:29:40	ga_ls7e_ard_3-0-0_102073_2015-06-24_final
2015-07-10 10:29:47	ga_ls7e_ard_3-0-0_102073_2015-07-10_final
2015-07-26 10:29:49	ga_ls7e_ard_3-0-0_102073_2015-07-26_final
2015-08-11 10:29:54	ga_ls7e_ard_3-0-0_102073_2015-08-11_final
2015-08-27 10:29:55	ga_ls7e_ard_3-0-0_102073_2015-08-27_final
2015-09-12 10:29:58	ga_ls7e_ard_3-0-0_102073_2015-09-12_final
2015-09-28 10:30:02	ga_ls7e_ard_3-0-0_102073_2015-09-28_final
2015-10-14 10:30:14	ga_ls7e_ard_3-0-0_102073_2015-10-14_final
2015-10-30 10:30:30	ga_ls7e_ard_3-0-0_102073_2015-10-30_final
2015-11-15 10:30:46	ga_ls7e_ard_3-0-0_102073_2015-11-15_final
2016-01-18 10:31:44	ga_ls7e_ard_3-0-0_102073_2016-01-18_final
2016-02-19 10:31:56	ga_ls7e_ard_3-0-0_102073_2016-02-19_final
2016-03-06 10:32:05	ga_ls7e_ard_3-0-0_102073_2016-03-06_final
2016-03-22 10:32:12	ga_ls7e_ard_3-0-0_102073_2016-03-22_final
2016-04-07 10:32:15	ga_ls7e_ard_3-0-0_102073_2016-04-07_final
2016-04-23 10:32:23	ga_ls7e_ard_3-0-0_102073_2016-04-23_final
2016-05-25 10:32:31	ga_ls7e_ard_3-0-0_102073_2016-05-25_final
2016-06-10 10:32:36	ga_ls7e_ard_3-0-0_102073_2016-06-10_final
2016-06-26 10:32:38	ga_ls7e_ard_3-0-0_102073_2016-06-26_final
2016-07-12 10:32:37	ga_ls7e_ard_3-0-0_102073_2016-07-12_final
2016-07-28 10:32:40	ga_ls7e_ard_3-0-0_102073_2016-07-28_final
2016-08-13 10:32:41	ga_ls7e_ard_3-0-0_102073_2016-08-13_final
2016-08-29 10:32:44	ga_ls7e_ard_3-0-0_102073_2016-08-29_final
2016-09-14 10:32:46	ga_ls7e_ard_3-0-0_102073_2016-09-14_final
2016-09-30 10:32:49	ga_ls7e_ard_3-1-0_102073_2016-09-30_final
2016-10-16 10:32:48	ga_ls7e_ard_3-1-0_102073_2016-10-16_final
2016-12-19 10:32:29	ga_ls7e_ard_3-1-0_102073_2016-12-19_final
2017-01-20 10:32:09	ga_ls7e_ard_3-1-0_102073_2017-01-20_final
2017-02-21 10:32:04	ga_ls7e_ard_3-1-0_102073_2017-02-21_final
2017-03-09 10:32:12	ga_ls7e_ard_3-1-0_102073_2017-03-09_final
2017-04-10 10:32:22	ga_ls7e_ard_3-1-0_102073_2017-04-10_final
2017-04-26 10:32:29	ga_ls7e_ard_3-1-0_102073_2017-04-26_final
2017-05-28 10:32:36	ga_ls7e_ard_3-1-0_102073_2017-05-28_final
2017-06-29 10:32:43	ga_ls7e_ard_3-0-0_102073_2017-06-29_final
2017-07-15 10:32:43	ga_ls7e_ard_3-0-0_102073_2017-07-15_final
2017-09-01 10:32:41	ga_ls7e_ard_3-1-0_102073_2017-09-01_final
2017-09-17 10:32:38	ga_ls7e_ard_3-1-0_102073_2017-09-17_final
2017-10-19 10:32:42	ga_ls7e_ard_3-1-0_102073_2017-10-19_final
2017-11-20 10:32:38	ga_ls7e_ard_3-1-0_102073_2017-11-20_final
2017-12-06 10:32:31	ga_ls7e_ard_3-1-0_102073_2017-12-06_final
2017-12-22 10:32:21	ga_ls7e_ard_3-1-0_102073_2017-12-22_final
2018-02-08 10:31:39	ga_ls7e_ard_3-1-0_102073_2018-02-08_final
2018-03-28 10:31:05	ga_ls7e_ard_3-0-0_102073_2018-03-28_final
2018-08-03 10:28:52	ga_ls7e_ard_3-0-0_102073_2018-08-03_final
2018-09-04 10:28:14	ga_ls7e_ard_3-0-0_102073_2018-09-04_final
2018-11-07 10:26:46	ga_ls7e_ard_3-0-0_102073_2018-11-07_final
2018-12-09 10:25:58	ga_ls7e_ard_3-0-0_102073_2018-12-09_final
2020-03-17 10:07:02	ga_ls7e_ard_3-1-0_102073_2020-03-17_final
2020-06-21 10:01:23	ga_ls7e_ard_3-1-0_102073_2020-06-21_final
2020-07-07 10:00:26	ga_ls7e_ard_3-1-0_102073_2020-07-07_final
2020-09-25 09:55:19	ga_ls7e_ard_3-1-0_102073_2020-09-25_final
2020-11-28 09:51:03	ga_ls7e_ard_3-1-0_102073_2020-11-28_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-30 09:48:41	ga_ls7e_ard_3-1-0_102073_2020-12-30_final
2021-01-15 09:47:34	ga_ls7e_ard_3-1-0_102073_2021-01-15_final
2021-01-31 09:46:25	ga_ls7e_ard_3-2-0_102073_2021-01-31_final
2021-02-16 09:45:13	ga_ls7e_ard_3-2-0_102073_2021-02-16_final
2021-03-04 09:44:00	ga_ls7e_ard_3-2-0_102073_2021-03-04_final
2021-03-20 09:42:44	ga_ls7e_ard_3-2-0_102073_2021-03-20_final
2021-04-05 09:41:26	ga_ls7e_ard_3-2-0_102073_2021-04-05_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-05-07 09:38:44	ga_ls7e_ard_3-2-0_102073_2021-05-07_final
2021-05-23 09:37:23	ga_ls7e_ard_3-2-0_102073_2021-05-23_final
2021-06-08 09:36:03	ga_ls7e_ard_3-2-0_102073_2021-06-08_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-26 09:32:01	ga_ls7e_ard_3-2-0_102073_2021-07-26_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-27 09:29:12	ga_ls7e_ard_3-2-0_102073_2021-08-26_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-28 09:26:22	ga_ls7e_ard_3-2-0_102073_2021-09-27_final
2021-10-14 09:24:58	ga_ls7e_ard_3-2-0_102073_2021-10-13_final
2021-10-30 09:23:30	ga_ls7e_ard_3-2-0_102073_2021-10-29_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-17 09:18:56	ga_ls7e_ard_3-2-1_102073_2021-12-16_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-18 09:15:48	ga_ls7e_ard_3-2-1_102073_2022-01-17_final
2022-02-19 09:12:36	ga_ls7e_ard_3-2-1_102073_2022-02-18_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_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