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
2016-01-26 11:23:15	ga_ls7e_ard_3-0-0_110078_2016-01-26_final
2016-03-30 11:23:40	ga_ls7e_ard_3-0-0_110078_2016-03-30_final
2017-09-25 11:24:05	ga_ls7e_ard_3-0-0_110078_2017-09-25_final
2017-10-11 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-10-11_final
2017-10-27 11:24:08	ga_ls7e_ard_3-0-0_110078_2017-10-27_final
2017-11-12 11:24:06	ga_ls7e_ard_3-0-0_110078_2017-11-12_final
2017-11-28 11:24:01	ga_ls7e_ard_3-0-0_110078_2017-11-28_final
2017-12-14 11:23:53	ga_ls7e_ard_3-0-0_110078_2017-12-14_final
2018-01-15 11:23:28	ga_ls7e_ard_3-0-0_110078_2018-01-15_final
2018-02-16 11:23:01	ga_ls7e_ard_3-0-0_110078_2018-02-16_final
2018-03-04 11:22:50	ga_ls7e_ard_3-0-0_110078_2018-03-04_final
2018-03-20 11:22:38	ga_ls7e_ard_3-0-0_110078_2018-03-20_final
2018-04-05 11:22:24	ga_ls7e_ard_3-0-0_110078_2018-04-05_final
2018-04-21 11:22:09	ga_ls7e_ard_3-0-0_110078_2018-04-21_final
2018-05-07 11:21:51	ga_ls7e_ard_3-0-0_110078_2018-05-07_final
2018-05-23 11:21:36	ga_ls7e_ard_3-0-0_110078_2018-05-23_final
2018-06-08 11:21:20	ga_ls7e_ard_3-0-0_110078_2018-06-08_final
2018-06-24 11:21:02	ga_ls7e_ard_3-0-0_110078_2018-06-24_final
2018-07-10 11:20:43	ga_ls7e_ard_3-0-0_110078_2018-07-10_final
2018-08-11 11:20:09	ga_ls7e_ard_3-0-0_110078_2018-08-11_final
2018-08-27 11:19:50	ga_ls7e_ard_3-0-0_110078_2018-08-27_final
2018-09-12 11:19:29	ga_ls7e_ard_3-0-0_110078_2018-09-12_final
2018-09-28 11:19:07	ga_ls7e_ard_3-0-0_110078_2018-09-28_final
2018-10-14 11:18:43	ga_ls7e_ard_3-0-0_110078_2018-10-14_final
2018-10-30 11:18:23	ga_ls7e_ard_3-0-0_110078_2018-10-30_final
2018-11-15 11:18:01	ga_ls7e_ard_3-0-0_110078_2018-11-15_final
2018-12-01 11:17:37	ga_ls7e_ard_3-0-0_110078_2018-12-01_final
2018-12-17 11:17:10	ga_ls7e_ard_3-0-0_110078_2018-12-17_final
2019-01-02 11:16:42	ga_ls7e_ard_3-0-0_110078_2019-01-02_final
2019-01-18 11:16:12	ga_ls7e_ard_3-0-0_110078_2019-01-18_final
2019-02-03 11:15:41	ga_ls7e_ard_3-0-0_110078_2019-02-03_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-03-07 11:14:43	ga_ls7e_ard_3-1-0_110078_2019-03-07_final
2019-04-08 11:13:38	ga_ls7e_ard_3-0-0_110078_2019-04-08_final
2019-04-24 11:13:03	ga_ls7e_ard_3-0-0_110078_2019-04-24_final
2019-05-10 11:12:27	ga_ls7e_ard_3-0-0_110078_2019-05-10_final
2019-06-11 11:11:16	ga_ls7e_ard_3-0-0_110078_2019-06-11_final
2019-06-27 11:10:40	ga_ls7e_ard_3-0-0_110078_2019-06-27_final
2019-07-13 11:10:03	ga_ls7e_ard_3-0-0_110078_2019-07-13_final
2019-07-29 11:09:25	ga_ls7e_ard_3-0-0_110078_2019-07-29_final
2019-08-14 11:08:46	ga_ls7e_ard_3-0-0_110078_2019-08-14_final
2019-08-30 11:08:05	ga_ls7e_ard_3-1-0_110078_2019-08-30_final
2019-09-15 11:07:23	ga_ls7e_ard_3-1-0_110078_2019-09-15_final
2019-10-01 11:06:42	ga_ls7e_ard_3-1-0_110078_2019-10-01_final
2019-10-17 11:06:02	ga_ls7e_ard_3-1-0_110078_2019-10-17_final
2019-11-02 11:05:20	ga_ls7e_ard_3-1-0_110078_2019-11-02_final
2019-11-18 11:04:36	ga_ls7e_ard_3-1-0_110078_2019-11-18_final
2019-12-04 11:03:50	ga_ls7e_ard_3-1-0_110078_2019-12-04_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2020-01-05 11:02:11	ga_ls7e_ard_3-1-0_110078_2020-01-05_final
2020-01-21 11:01:24	ga_ls7e_ard_3-1-0_110078_2020-01-21_final
2020-02-06 11:00:35	ga_ls7e_ard_3-1-0_110078_2020-02-06_final
2020-02-22 10:59:46	ga_ls7e_ard_3-1-0_110078_2020-02-22_final
2020-03-09 10:58:54	ga_ls7e_ard_3-1-0_110078_2020-03-09_final
2020-03-25 10:58:01	ga_ls7e_ard_3-1-0_110078_2020-03-25_final
2020-04-10 10:57:07	ga_ls7e_ard_3-1-0_110078_2020-04-10_final
2020-04-26 10:56:10	ga_ls7e_ard_3-1-0_110078_2020-04-26_final
2020-05-12 10:55:12	ga_ls7e_ard_3-1-0_110078_2020-05-12_final
2020-05-28 10:54:13	ga_ls7e_ard_3-1-0_110078_2020-05-28_final
2020-06-13 10:53:18	ga_ls7e_ard_3-1-0_110078_2020-06-13_final
2020-06-29 10:52:21	ga_ls7e_ard_3-1-0_110078_2020-06-29_final
2020-07-15 10:51:23	ga_ls7e_ard_3-1-0_110078_2020-07-15_final
2020-07-31 10:50:23	ga_ls7e_ard_3-1-0_110078_2020-07-31_final
2020-08-16 10:49:23	ga_ls7e_ard_3-1-0_110078_2020-08-16_final
2020-09-01 10:48:21	ga_ls7e_ard_3-1-0_110078_2020-09-01_final
2020-09-17 10:47:17	ga_ls7e_ard_3-1-0_110078_2020-09-17_final
2020-10-03 10:46:15	ga_ls7e_ard_3-1-0_110078_2020-10-03_final
2020-10-19 10:45:13	ga_ls7e_ard_3-1-0_110078_2020-10-19_final
2020-11-04 10:44:09	ga_ls7e_ard_3-1-0_110078_2020-11-04_final
2020-11-20 10:43:03	ga_ls7e_ard_3-1-0_110078_2020-11-20_final
2020-12-06 10:41:53	ga_ls7e_ard_3-1-0_110078_2020-12-06_final
2020-12-22 10:40:40	ga_ls7e_ard_3-1-0_110078_2020-12-22_final
2021-01-07 10:39:34	ga_ls7e_ard_3-1-0_110078_2021-01-07_final
2021-01-23 10:38:26	ga_ls7e_ard_3-2-0_110078_2021-01-23_final
2021-02-08 10:37:16	ga_ls7e_ard_3-2-0_110078_2021-02-08_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2021-03-12 10:34:48	ga_ls7e_ard_3-2-0_110078_2021-03-12_final
2021-03-28 10:33:31	ga_ls7e_ard_3-2-0_110078_2021-03-28_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-31 10:28:08	ga_ls7e_ard_3-2-0_110078_2021-05-31_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-07-02 10:25:30	ga_ls7e_ard_3-2-0_110078_2021-07-02_final
2021-07-18 10:24:08	ga_ls7e_ard_3-2-0_110078_2021-07-18_final
2021-08-03 10:22:45	ga_ls7e_ard_3-2-0_110078_2021-08-03_final
2021-08-19 10:21:19	ga_ls7e_ard_3-2-0_110078_2021-08-19_final
2021-09-04 10:19:57	ga_ls7e_ard_3-2-0_110078_2021-09-04_final
2021-09-20 10:18:32	ga_ls7e_ard_3-2-0_110078_2021-09-20_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-22 10:15:41	ga_ls7e_ard_3-2-0_110078_2021-10-22_final
2021-11-07 10:14:11	ga_ls7e_ard_3-2-0_110078_2021-11-07_final
2021-11-23 10:12:37	ga_ls7e_ard_3-2-1_110078_2021-11-23_final
2021-12-09 10:11:08	ga_ls7e_ard_3-2-1_110078_2021-12-09_final
2021-12-25 10:09:35	ga_ls7e_ard_3-2-1_110078_2021-12-25_final
2022-01-10 10:08:00	ga_ls7e_ard_3-2-1_110078_2022-01-10_final
2022-01-26 10:06:28	ga_ls7e_ard_3-2-1_110078_2022-01-26_final
2022-02-11 10:04:51	ga_ls7e_ard_3-2-1_110078_2022-02-11_final
2022-02-27 10:03:17	ga_ls7e_ard_3-2-1_110078_2022-02-27_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years