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
2014-12-06 11:16:42	ga_ls7e_ard_3-0-0_110070_2014-12-06_final
2015-05-31 11:17:49	ga_ls7e_ard_3-0-0_110070_2015-05-31_final
2015-09-04 11:18:10	ga_ls7e_ard_3-0-0_110070_2015-09-04_final
2015-11-07 11:18:52	ga_ls7e_ard_3-0-0_110070_2015-11-07_final
2016-01-10 11:19:52	ga_ls7e_ard_3-0-0_110070_2016-01-10_final
2016-04-15 11:20:34	ga_ls7e_ard_3-0-0_110070_2016-04-15_final
2016-06-02 11:20:49	ga_ls7e_ard_3-0-0_110070_2016-06-02_final
2016-06-18 11:20:52	ga_ls7e_ard_3-0-0_110070_2016-06-18_final
2016-09-22 11:21:03	ga_ls7e_ard_3-0-0_110070_2016-09-22_final
2016-11-09 11:20:54	ga_ls7e_ard_3-0-0_110070_2016-11-09_final
2017-01-28 11:20:20	ga_ls7e_ard_3-0-0_110070_2017-01-28_final
2017-03-01 11:20:23	ga_ls7e_ard_3-0-0_110070_2017-03-01_final
2017-03-17 11:20:29	ga_ls7e_ard_3-0-0_110070_2017-03-17_final
2017-04-02 11:20:33	ga_ls7e_ard_3-0-0_110070_2017-04-02_final
2017-04-18 11:20:40	ga_ls7e_ard_3-0-0_110070_2017-04-18_final
2017-05-04 11:20:46	ga_ls7e_ard_3-0-0_110070_2017-05-04_final
2017-05-20 11:20:48	ga_ls7e_ard_3-0-0_110070_2017-05-20_final
2017-06-05 11:20:53	ga_ls7e_ard_3-0-0_110070_2017-06-05_final
2017-06-21 11:20:57	ga_ls7e_ard_3-0-0_110070_2017-06-21_final
2017-07-23 11:20:58	ga_ls7e_ard_3-0-0_110070_2017-07-23_final
2017-08-08 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-08-08_final
2017-08-24 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-08-24_final
2017-09-09 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-09-09_final
2017-09-25 11:20:54	ga_ls7e_ard_3-0-0_110070_2017-09-25_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2017-10-27 11:20:57	ga_ls7e_ard_3-0-0_110070_2017-10-27_final
2017-11-12 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-11-12_final
2017-11-28 11:20:50	ga_ls7e_ard_3-0-0_110070_2017-11-28_final
2018-03-20 11:19:27	ga_ls7e_ard_3-0-0_110070_2018-03-20_final
2018-04-05 11:19:13	ga_ls7e_ard_3-0-0_110070_2018-04-05_final
2018-04-21 11:18:57	ga_ls7e_ard_3-0-0_110070_2018-04-21_final
2018-05-07 11:18:39	ga_ls7e_ard_3-0-0_110070_2018-05-07_final
2018-05-23 11:18:25	ga_ls7e_ard_3-0-0_110070_2018-05-23_final
2018-06-08 11:18:09	ga_ls7e_ard_3-0-0_110070_2018-06-08_final
2018-06-24 11:17:51	ga_ls7e_ard_3-0-0_110070_2018-06-24_final
2018-07-10 11:17:31	ga_ls7e_ard_3-0-0_110070_2018-07-10_final
2018-07-26 11:17:15	ga_ls7e_ard_3-0-0_110070_2018-07-26_final
2018-08-11 11:16:57	ga_ls7e_ard_3-0-0_110070_2018-08-11_final
2018-08-27 11:16:38	ga_ls7e_ard_3-0-0_110070_2018-08-27_final
2018-09-12 11:16:18	ga_ls7e_ard_3-0-0_110070_2018-09-12_final
2018-09-28 11:15:56	ga_ls7e_ard_3-0-0_110070_2018-09-28_final
2018-10-14 11:15:32	ga_ls7e_ard_3-0-0_110070_2018-10-14_final
2018-10-30 11:15:11	ga_ls7e_ard_3-0-0_110070_2018-10-30_final
2018-12-01 11:14:25	ga_ls7e_ard_3-0-0_110070_2018-12-01_final
2018-12-17 11:13:59	ga_ls7e_ard_3-0-0_110070_2018-12-17_final
2019-01-02 11:13:30	ga_ls7e_ard_3-0-0_110070_2019-01-02_final
2019-02-03 11:12:30	ga_ls7e_ard_3-0-0_110070_2019-02-03_final
2019-02-19 11:12:01	ga_ls7e_ard_3-1-0_110070_2019-02-19_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-23 11:11:00	ga_ls7e_ard_3-1-0_110070_2019-03-23_final
2019-04-08 11:10:27	ga_ls7e_ard_3-0-0_110070_2019-04-08_final
2019-04-24 11:09:52	ga_ls7e_ard_3-0-0_110070_2019-04-24_final
2019-05-10 11:09:15	ga_ls7e_ard_3-0-0_110070_2019-05-10_final
2019-05-26 11:08:38	ga_ls7e_ard_3-0-0_110070_2019-05-26_final
2019-06-11 11:08:04	ga_ls7e_ard_3-0-0_110070_2019-06-11_final
2019-06-27 11:07:29	ga_ls7e_ard_3-0-0_110070_2019-06-27_final
2019-07-13 11:06:52	ga_ls7e_ard_3-0-0_110070_2019-07-13_final
2019-07-29 11:06:14	ga_ls7e_ard_3-0-0_110070_2019-07-29_final
2019-08-14 11:05:34	ga_ls7e_ard_3-0-0_110070_2019-08-14_final
2019-08-30 11:04:54	ga_ls7e_ard_3-1-0_110070_2019-08-30_final
2019-09-15 11:04:11	ga_ls7e_ard_3-1-0_110070_2019-09-15_final
2019-10-01 11:03:30	ga_ls7e_ard_3-1-0_110070_2019-10-01_final
2019-10-17 11:02:50	ga_ls7e_ard_3-1-0_110070_2019-10-17_final
2019-11-02 11:02:08	ga_ls7e_ard_3-1-0_110070_2019-11-02_final
2019-11-18 11:01:24	ga_ls7e_ard_3-1-0_110070_2019-11-18_final
2019-12-04 11:00:38	ga_ls7e_ard_3-1-0_110070_2019-12-04_final
2019-12-20 10:59:50	ga_ls7e_ard_3-1-0_110070_2019-12-20_final
2020-02-06 10:57:24	ga_ls7e_ard_3-1-0_110070_2020-02-06_final
2020-02-22 10:56:34	ga_ls7e_ard_3-1-0_110070_2020-02-22_final
2020-03-09 10:55:43	ga_ls7e_ard_3-1-0_110070_2020-03-09_final
2020-03-25 10:54:50	ga_ls7e_ard_3-1-0_110070_2020-03-25_final
2020-04-10 10:53:55	ga_ls7e_ard_3-1-0_110070_2020-04-10_final
2020-04-26 10:52:59	ga_ls7e_ard_3-1-0_110070_2020-04-26_final
2020-05-12 10:52:01	ga_ls7e_ard_3-1-0_110070_2020-05-12_final
2020-06-13 10:50:06	ga_ls7e_ard_3-1-0_110070_2020-06-13_final
2020-06-29 10:49:09	ga_ls7e_ard_3-1-0_110070_2020-06-29_final
2020-07-15 10:48:11	ga_ls7e_ard_3-1-0_110070_2020-07-15_final
2020-07-31 10:47:12	ga_ls7e_ard_3-1-0_110070_2020-07-31_final
2020-08-16 10:46:11	ga_ls7e_ard_3-1-0_110070_2020-08-16_final
2020-09-01 10:45:09	ga_ls7e_ard_3-1-0_110070_2020-09-01_final
2020-09-17 10:44:05	ga_ls7e_ard_3-1-0_110070_2020-09-17_final
2020-10-03 10:43:04	ga_ls7e_ard_3-1-0_110070_2020-10-03_final
2020-10-19 10:42:02	ga_ls7e_ard_3-1-0_110070_2020-10-19_final
2020-11-04 10:40:58	ga_ls7e_ard_3-1-0_110070_2020-11-04_final
2020-11-20 10:39:51	ga_ls7e_ard_3-1-0_110070_2020-11-20_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-03-12 10:31:37	ga_ls7e_ard_3-2-0_110070_2021-03-12_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-09-04 10:16:45	ga_ls7e_ard_3-2-0_110070_2021-09-04_final
2021-09-20 10:15:20	ga_ls7e_ard_3-2-0_110070_2021-09-20_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-11-23 10:09:26	ga_ls7e_ard_3-2-1_110070_2021-11-23_final
2021-12-09 10:07:56	ga_ls7e_ard_3-2-1_110070_2021-12-09_final
2021-12-25 10:06:23	ga_ls7e_ard_3-2-1_110070_2021-12-25_final
2022-01-10 10:04:48	ga_ls7e_ard_3-2-1_110070_2022-01-10_final
2022-02-11 10:01:39	ga_ls7e_ard_3-2-1_110070_2022-02-11_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_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