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
2015-10-11 11:40:10	ga_ls7e_ard_3-0-0_113078_2015-10-11_final
2015-10-27 11:40:26	ga_ls7e_ard_3-0-0_113078_2015-10-27_final
2015-11-12 11:40:42	ga_ls7e_ard_3-0-0_113078_2015-11-12_final
2015-12-30 11:41:24	ga_ls7e_ard_3-0-0_113078_2015-12-30_final
2016-02-16 11:41:55	ga_ls7e_ard_3-0-0_113078_2016-02-16_final
2016-03-19 11:42:10	ga_ls7e_ard_3-0-0_113078_2016-03-19_final
2016-06-23 11:42:36	ga_ls7e_ard_3-0-0_113078_2016-06-23_final
2017-04-07 11:42:19	ga_ls7e_ard_3-0-0_113078_2017-04-07_final
2017-06-10 11:42:38	ga_ls7e_ard_3-0-0_113078_2017-06-10_final
2017-06-26 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-06-26_final
2017-07-12 11:42:42	ga_ls7e_ard_3-0-0_113078_2017-07-12_final
2017-09-14 11:42:38	ga_ls7e_ard_3-0-0_113078_2017-09-14_final
2017-11-01 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-11-01_final
2018-01-04 11:42:10	ga_ls7e_ard_3-0-0_113078_2018-01-04_final
2018-01-20 11:41:56	ga_ls7e_ard_3-0-0_113078_2018-01-20_final
2018-02-05 11:41:40	ga_ls7e_ard_3-0-0_113078_2018-02-05_final
2018-02-21 11:41:30	ga_ls7e_ard_3-0-0_113078_2018-02-21_final
2018-03-09 11:41:19	ga_ls7e_ard_3-0-0_113078_2018-03-09_final
2018-03-25 11:41:07	ga_ls7e_ard_3-0-0_113078_2018-03-25_final
2018-04-10 11:40:52	ga_ls7e_ard_3-0-0_113078_2018-04-10_final
2018-04-26 11:40:36	ga_ls7e_ard_3-0-0_113078_2018-04-26_final
2018-05-12 11:40:18	ga_ls7e_ard_3-0-0_113078_2018-05-12_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-06-13 11:39:47	ga_ls7e_ard_3-0-0_113078_2018-06-13_final
2018-06-29 11:39:29	ga_ls7e_ard_3-0-0_113078_2018-06-29_final
2018-07-15 11:39:10	ga_ls7e_ard_3-0-0_113078_2018-07-15_final
2018-07-31 11:38:54	ga_ls7e_ard_3-0-0_113078_2018-07-31_final
2018-08-16 11:38:36	ga_ls7e_ard_3-0-0_113078_2018-08-16_final
2018-09-01 11:38:16	ga_ls7e_ard_3-0-0_113078_2018-09-01_final
2018-09-17 11:37:55	ga_ls7e_ard_3-0-0_113078_2018-09-17_final
2018-10-03 11:37:32	ga_ls7e_ard_3-0-0_113078_2018-10-03_final
2018-10-19 11:37:09	ga_ls7e_ard_3-0-0_113078_2018-10-19_final
2018-11-04 11:36:48	ga_ls7e_ard_3-0-0_113078_2018-11-04_final
2018-11-20 11:36:26	ga_ls7e_ard_3-0-0_113078_2018-11-20_final
2019-01-07 11:35:05	ga_ls7e_ard_3-0-0_113078_2019-01-07_final
2019-01-23 11:34:34	ga_ls7e_ard_3-0-0_113078_2019-01-23_final
2019-02-08 11:34:05	ga_ls7e_ard_3-0-0_113078_2019-02-08_final
2019-02-24 11:33:36	ga_ls7e_ard_3-1-0_113078_2019-02-24_final
2019-03-12 11:33:05	ga_ls7e_ard_3-1-0_113078_2019-03-12_final
2019-03-28 11:32:33	ga_ls7e_ard_3-1-0_113078_2019-03-28_final
2019-04-29 11:31:24	ga_ls7e_ard_3-0-0_113078_2019-04-29_final
2019-05-15 11:30:47	ga_ls7e_ard_3-0-0_113078_2019-05-15_final
2019-05-31 11:30:12	ga_ls7e_ard_3-0-0_113078_2019-05-31_final
2019-06-16 11:29:37	ga_ls7e_ard_3-0-0_113078_2019-06-16_final
2019-07-02 11:29:01	ga_ls7e_ard_3-0-0_113078_2019-07-02_final
2019-07-18 11:28:24	ga_ls7e_ard_3-0-0_113078_2019-07-18_final
2019-08-03 11:27:45	ga_ls7e_ard_3-0-0_113078_2019-08-03_final
2019-08-19 11:27:06	ga_ls7e_ard_3-0-0_113078_2019-08-19_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-09-20 11:25:42	ga_ls7e_ard_3-1-0_113078_2019-09-20_final
2019-10-06 11:25:02	ga_ls7e_ard_3-1-0_113078_2019-10-06_final
2019-10-22 11:24:21	ga_ls7e_ard_3-1-0_113078_2019-10-22_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-09 11:22:07	ga_ls7e_ard_3-1-0_113078_2019-12-09_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-26 11:19:41	ga_ls7e_ard_3-1-0_113078_2020-01-26_final
2020-02-11 11:18:52	ga_ls7e_ard_3-1-0_113078_2020-02-11_final
2020-02-27 11:18:02	ga_ls7e_ard_3-1-0_113078_2020-02-27_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-05-01 11:14:25	ga_ls7e_ard_3-1-0_113078_2020-05-01_final
2020-05-17 11:13:26	ga_ls7e_ard_3-1-0_113078_2020-05-17_final
2020-06-02 11:12:28	ga_ls7e_ard_3-1-0_113078_2020-06-02_final
2020-06-18 11:11:32	ga_ls7e_ard_3-1-0_113078_2020-06-18_final
2020-07-04 11:10:35	ga_ls7e_ard_3-1-0_113078_2020-07-04_final
2020-07-20 11:09:37	ga_ls7e_ard_3-1-0_113078_2020-07-20_final
2020-08-05 11:08:37	ga_ls7e_ard_3-1-0_113078_2020-08-05_final
2020-09-06 11:06:33	ga_ls7e_ard_3-1-0_113078_2020-09-06_final
2020-09-22 11:05:29	ga_ls7e_ard_3-1-0_113078_2020-09-22_final
2020-10-08 11:04:28	ga_ls7e_ard_3-1-0_113078_2020-10-08_final
2020-10-24 11:03:26	ga_ls7e_ard_3-1-0_113078_2020-10-24_final
2020-11-09 11:02:21	ga_ls7e_ard_3-1-0_113078_2020-11-09_final
2020-11-25 11:01:14	ga_ls7e_ard_3-1-0_113078_2020-11-25_final
2020-12-11 11:00:03	ga_ls7e_ard_3-1-0_113078_2020-12-11_final
2021-02-13 10:55:25	ga_ls7e_ard_3-2-0_113078_2021-02-13_final
2021-03-01 10:54:12	ga_ls7e_ard_3-2-0_113078_2021-03-01_final
2021-03-17 10:52:57	ga_ls7e_ard_3-2-0_113078_2021-03-17_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-18 10:50:19	ga_ls7e_ard_3-2-0_113078_2021-04-18_final
2021-05-20 10:47:37	ga_ls7e_ard_3-2-0_113078_2021-05-20_final
2021-06-05 10:46:16	ga_ls7e_ard_3-2-0_113078_2021-06-05_final
2021-06-21 10:44:57	ga_ls7e_ard_3-2-0_113078_2021-06-21_final
2021-07-07 10:43:37	ga_ls7e_ard_3-2-0_113078_2021-07-07_final
2021-07-23 10:42:15	ga_ls7e_ard_3-2-0_113078_2021-07-23_final
2021-08-24 10:39:26	ga_ls7e_ard_3-2-0_113078_2021-08-24_final
2021-09-09 10:38:03	ga_ls7e_ard_3-2-0_113078_2021-09-09_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-27 10:33:46	ga_ls7e_ard_3-2-0_113078_2021-10-27_final
2021-11-12 10:32:15	ga_ls7e_ard_3-2-1_113078_2021-11-12_final
2021-11-28 10:30:42	ga_ls7e_ard_3-2-1_113078_2021-11-28_final
2021-12-14 10:29:11	ga_ls7e_ard_3-2-1_113078_2021-12-14_final
2021-12-30 10:27:37	ga_ls7e_ard_3-2-1_113078_2021-12-30_final
2022-01-15 10:26:04	ga_ls7e_ard_3-2-1_113078_2022-01-15_final
2022-01-31 10:24:31	ga_ls7e_ard_3-2-1_113078_2022-01-31_final
2022-02-16 10:22:52	ga_ls7e_ard_3-2-1_113078_2022-02-16_final
2022-03-04 10:21:20	ga_ls7e_ard_3-2-1_113078_2022-03-04_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_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