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
2015-12-09 09:43:41	ga_ls7e_ard_3-0-0_094078_2015-12-09_final
2016-01-10 09:44:10	ga_ls7e_ard_3-0-0_094078_2016-01-10_final
2016-02-27 09:44:32	ga_ls7e_ard_3-0-0_094078_2016-02-27_final
2016-03-14 09:44:42	ga_ls7e_ard_3-0-0_094078_2016-03-14_final
2016-03-30 09:44:47	ga_ls7e_ard_3-0-0_094078_2016-03-30_final
2016-06-02 09:45:07	ga_ls7e_ard_3-0-0_094078_2016-06-02_final
2016-09-06 09:45:19	ga_ls7e_ard_3-0-0_094078_2016-09-06_final
2016-10-24 09:45:20	ga_ls7e_ard_3-0-0_094078_2016-10-24_final
2016-11-09 09:45:13	ga_ls7e_ard_3-0-0_094078_2016-11-09_final
2016-11-25 09:45:08	ga_ls7e_ard_3-0-0_094078_2016-11-25_final
2017-01-12 09:44:48	ga_ls7e_ard_3-0-0_094078_2017-01-12_final
2017-03-01 09:44:42	ga_ls7e_ard_3-0-0_094078_2017-03-01_final
2017-03-17 09:44:48	ga_ls7e_ard_3-0-0_094078_2017-03-17_final
2017-04-18 09:44:59	ga_ls7e_ard_3-0-0_094078_2017-04-18_final
2017-05-04 09:45:04	ga_ls7e_ard_3-0-0_094078_2017-05-04_final
2017-05-20 09:45:07	ga_ls7e_ard_3-0-0_094078_2017-05-20_final
2017-06-05 09:45:11	ga_ls7e_ard_3-0-0_094078_2017-06-05_final
2017-07-07 09:45:17	ga_ls7e_ard_3-0-0_094078_2017-07-07_final
2017-07-23 09:45:16	ga_ls7e_ard_3-0-0_094078_2017-07-23_final
2017-08-08 09:45:14	ga_ls7e_ard_3-0-0_094078_2017-08-08_final
2017-08-24 09:45:14	ga_ls7e_ard_3-0-0_094078_2017-08-24_final
2017-09-09 09:45:13	ga_ls7e_ard_3-0-0_094078_2017-09-09_final
2017-09-25 09:45:12	ga_ls7e_ard_3-0-0_094078_2017-09-25_final
2017-10-11 09:45:14	ga_ls7e_ard_3-0-0_094078_2017-10-11_final
2017-10-27 09:45:15	ga_ls7e_ard_3-0-0_094078_2017-10-27_final
2017-12-14 09:45:00	ga_ls7e_ard_3-0-0_094078_2017-12-14_final
2017-12-30 09:44:49	ga_ls7e_ard_3-0-0_094078_2017-12-30_final
2018-01-31 09:44:20	ga_ls7e_ard_3-0-0_094078_2018-01-31_final
2018-04-05 09:43:31	ga_ls7e_ard_3-0-0_094078_2018-04-05_final
2018-05-07 09:42:58	ga_ls7e_ard_3-0-0_094078_2018-05-07_final
2018-06-08 09:42:27	ga_ls7e_ard_3-0-0_094078_2018-06-08_final
2018-06-24 09:42:09	ga_ls7e_ard_3-0-0_094078_2018-06-24_final
2018-07-10 09:41:50	ga_ls7e_ard_3-0-0_094078_2018-07-10_final
2018-08-27 09:40:57	ga_ls7e_ard_3-0-0_094078_2018-08-27_final
2018-09-28 09:40:14	ga_ls7e_ard_3-0-0_094078_2018-09-28_final
2018-11-15 09:39:08	ga_ls7e_ard_3-0-0_094078_2018-11-15_final
2018-12-17 09:38:17	ga_ls7e_ard_3-0-0_094078_2018-12-17_final
2019-01-02 09:37:49	ga_ls7e_ard_3-0-0_094078_2019-01-02_final
2019-01-18 09:37:19	ga_ls7e_ard_3-0-0_094078_2019-01-18_final
2019-02-03 09:36:48	ga_ls7e_ard_3-0-0_094078_2019-02-03_final
2019-02-19 09:36:20	ga_ls7e_ard_3-1-0_094078_2019-02-19_final
2019-04-08 09:34:45	ga_ls7e_ard_3-0-0_094078_2019-04-08_final
2019-06-11 09:32:23	ga_ls7e_ard_3-0-0_094078_2019-06-11_final
2019-06-27 09:31:47	ga_ls7e_ard_3-0-0_094078_2019-06-27_final
2019-08-14 09:29:53	ga_ls7e_ard_3-1-0_094078_2019-08-13_final
2019-08-30 09:29:12	ga_ls7e_ard_3-1-0_094078_2019-08-29_final
2019-09-15 09:28:30	ga_ls7e_ard_3-1-0_094078_2019-09-14_final
2019-10-01 09:27:49	ga_ls7e_ard_3-1-0_094078_2019-09-30_final
2019-11-02 09:26:27	ga_ls7e_ard_3-1-0_094078_2019-11-01_final
2019-11-18 09:25:43	ga_ls7e_ard_3-1-0_094078_2019-11-17_final
2019-12-04 09:24:57	ga_ls7e_ard_3-1-0_094078_2019-12-03_final
2019-12-20 09:24:08	ga_ls7e_ard_3-1-0_094078_2019-12-19_final
2020-01-05 09:23:18	ga_ls7e_ard_3-1-0_094078_2020-01-04_final
2020-01-21 09:22:31	ga_ls7e_ard_3-1-0_094078_2020-01-20_final
2020-02-22 09:20:53	ga_ls7e_ard_3-1-0_094078_2020-02-21_final
2020-03-25 09:19:08	ga_ls7e_ard_3-1-0_094078_2020-03-24_final
2020-04-10 09:18:14	ga_ls7e_ard_3-1-0_094078_2020-04-09_final
2020-04-26 09:17:17	ga_ls7e_ard_3-1-0_094078_2020-04-25_final
2020-05-12 09:16:19	ga_ls7e_ard_3-1-0_094078_2020-05-11_final
2020-05-28 09:15:20	ga_ls7e_ard_3-1-0_094078_2020-05-27_final
2020-06-13 09:14:25	ga_ls7e_ard_3-1-0_094078_2020-06-12_final
2020-06-29 09:13:28	ga_ls7e_ard_3-1-0_094078_2020-06-28_final
2020-07-15 09:12:30	ga_ls7e_ard_3-1-0_094078_2020-07-14_final
2020-07-31 09:11:31	ga_ls7e_ard_3-1-0_094078_2020-07-30_final
2020-08-16 09:10:30	ga_ls7e_ard_3-1-0_094078_2020-08-15_final
2020-09-01 09:09:28	ga_ls7e_ard_3-1-0_094078_2020-08-31_final
2020-09-17 09:08:24	ga_ls7e_ard_3-1-0_094078_2020-09-16_final
2020-10-03 09:07:22	ga_ls7e_ard_3-1-0_094078_2020-10-02_final
2020-10-19 09:06:21	ga_ls7e_ard_3-1-0_094078_2020-10-18_final
2020-11-04 09:05:17	ga_ls7e_ard_3-1-0_094078_2020-11-03_final
2020-11-20 09:04:10	ga_ls7e_ard_3-1-0_094078_2020-11-19_final
2020-12-06 09:03:01	ga_ls7e_ard_3-1-0_094078_2020-12-05_final
2021-01-07 09:00:41	ga_ls7e_ard_3-1-0_094078_2021-01-06_final
2021-01-23 08:59:33	ga_ls7e_ard_3-2-0_094078_2021-01-22_final
2021-02-08 08:58:23	ga_ls7e_ard_3-2-0_094078_2021-02-07_final
2021-02-24 08:57:10	ga_ls7e_ard_3-2-0_094078_2021-02-23_final
2021-03-12 08:55:55	ga_ls7e_ard_3-2-0_094078_2021-03-11_final
2021-03-28 08:54:38	ga_ls7e_ard_3-2-0_094078_2021-03-27_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-29 08:51:58	ga_ls7e_ard_3-2-0_094078_2021-04-28_final
2021-05-15 08:50:38	ga_ls7e_ard_3-2-0_094078_2021-05-14_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-07-02 08:46:37	ga_ls7e_ard_3-2-0_094078_2021-07-01_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-09-04 08:41:04	ga_ls7e_ard_3-2-0_094078_2021-09-03_final
2021-09-20 08:39:39	ga_ls7e_ard_3-2-0_094078_2021-09-19_final
2021-10-06 08:38:14	ga_ls7e_ard_3-2-0_094078_2021-10-05_final
2021-10-22 08:36:48	ga_ls7e_ard_3-2-0_094078_2021-10-21_final
2021-11-07 08:35:19	ga_ls7e_ard_3-2-0_094078_2021-11-06_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-25 08:30:42	ga_ls7e_ard_3-2-1_094078_2021-12-24_final
2022-01-10 08:29:07	ga_ls7e_ard_3-2-1_094078_2022-01-09_final
2022-01-26 08:27:35	ga_ls7e_ard_3-2-1_094078_2022-01-25_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_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