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
2015-06-25 11:11:44	ga_ls7e_ard_3-0-0_109070_2015-06-25_final
2015-08-28 11:11:58	ga_ls7e_ard_3-0-0_109070_2015-08-28_final
2016-02-04 11:13:57	ga_ls7e_ard_3-0-0_109070_2016-02-04_final
2016-07-29 11:14:44	ga_ls7e_ard_3-0-0_109070_2016-07-29_final
2017-07-16 11:14:47	ga_ls7e_ard_3-0-0_109070_2017-07-16_final
2017-08-01 11:14:46	ga_ls7e_ard_3-0-0_109070_2017-08-01_final
2017-08-17 11:14:44	ga_ls7e_ard_3-0-0_109070_2017-08-17_final
2017-09-02 11:14:44	ga_ls7e_ard_3-0-0_109070_2017-09-02_final
2017-09-18 11:14:42	ga_ls7e_ard_3-0-0_109070_2017-09-18_final
2017-10-04 11:14:44	ga_ls7e_ard_3-0-0_109070_2017-10-04_final
2017-10-20 11:14:46	ga_ls7e_ard_3-0-0_109070_2017-10-20_final
2017-11-05 11:14:45	ga_ls7e_ard_3-0-0_109070_2017-11-05_final
2017-11-21 11:14:41	ga_ls7e_ard_3-0-0_109070_2017-11-21_final
2017-12-23 11:14:24	ga_ls7e_ard_3-0-0_109070_2017-12-23_final
2018-01-24 11:13:57	ga_ls7e_ard_3-0-0_109070_2018-01-24_final
2018-02-25 11:13:33	ga_ls7e_ard_3-0-0_109070_2018-02-25_final
2018-03-13 11:13:22	ga_ls7e_ard_3-0-0_109070_2018-03-13_final
2018-03-29 11:13:08	ga_ls7e_ard_3-0-0_109070_2018-03-29_final
2018-04-30 11:12:36	ga_ls7e_ard_3-0-0_109070_2018-04-30_final
2018-05-16 11:12:20	ga_ls7e_ard_3-0-0_109070_2018-05-16_final
2018-06-17 11:11:48	ga_ls7e_ard_3-0-0_109070_2018-06-17_final
2018-07-03 11:11:29	ga_ls7e_ard_3-0-0_109070_2018-07-03_final
2018-07-19 11:11:11	ga_ls7e_ard_3-0-0_109070_2018-07-19_final
2018-08-04 11:10:54	ga_ls7e_ard_3-0-0_109070_2018-08-04_final
2018-08-20 11:10:36	ga_ls7e_ard_3-0-0_109070_2018-08-20_final
2018-09-05 11:10:16	ga_ls7e_ard_3-0-0_109070_2018-09-05_final
2018-09-21 11:09:55	ga_ls7e_ard_3-0-0_109070_2018-09-21_final
2018-10-07 11:09:32	ga_ls7e_ard_3-0-0_109070_2018-10-07_final
2018-10-23 11:09:09	ga_ls7e_ard_3-0-0_109070_2018-10-23_final
2018-11-08 11:08:48	ga_ls7e_ard_3-0-0_109070_2018-11-08_final
2018-11-24 11:08:25	ga_ls7e_ard_3-0-0_109070_2018-11-24_final
2018-12-10 11:08:00	ga_ls7e_ard_3-0-0_109070_2018-12-10_final
2018-12-26 11:07:32	ga_ls7e_ard_3-0-0_109070_2018-12-26_final
2019-01-27 11:06:32	ga_ls7e_ard_3-0-0_109070_2019-01-27_final
2019-02-12 11:06:03	ga_ls7e_ard_3-0-0_109070_2019-02-12_final
2019-02-28 11:05:34	ga_ls7e_ard_3-1-0_109070_2019-02-28_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-04-01 11:04:30	ga_ls7e_ard_3-0-0_109070_2019-04-01_final
2019-04-17 11:03:56	ga_ls7e_ard_3-0-0_109070_2019-04-17_final
2019-05-19 11:02:43	ga_ls7e_ard_3-0-0_109070_2019-05-19_final
2019-06-04 11:02:09	ga_ls7e_ard_3-0-0_109070_2019-06-04_final
2019-06-20 11:01:34	ga_ls7e_ard_3-0-0_109070_2019-06-20_final
2019-07-06 11:00:57	ga_ls7e_ard_3-0-0_109070_2019-07-06_final
2019-07-22 11:00:20	ga_ls7e_ard_3-0-0_109070_2019-07-22_final
2019-08-07 10:59:41	ga_ls7e_ard_3-0-0_109070_2019-08-07_final
2019-08-23 10:59:01	ga_ls7e_ard_3-1-0_109070_2019-08-23_final
2019-09-08 10:58:19	ga_ls7e_ard_3-1-0_109070_2019-09-08_final
2019-09-24 10:57:36	ga_ls7e_ard_3-1-0_109070_2019-09-24_final
2019-10-10 10:56:57	ga_ls7e_ard_3-1-0_109070_2019-10-10_final
2019-10-26 10:56:16	ga_ls7e_ard_3-1-0_109070_2019-10-26_final
2019-11-11 10:55:33	ga_ls7e_ard_3-1-0_109070_2019-11-11_final
2019-11-27 10:54:48	ga_ls7e_ard_3-1-0_109070_2019-11-27_final
2019-12-13 10:54:00	ga_ls7e_ard_3-1-0_109070_2019-12-13_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2020-01-14 10:52:22	ga_ls7e_ard_3-1-0_109070_2020-01-14_final
2020-01-30 10:51:34	ga_ls7e_ard_3-1-0_109070_2020-01-30_final
2020-02-15 10:50:45	ga_ls7e_ard_3-1-0_109070_2020-02-15_final
2020-03-02 10:49:54	ga_ls7e_ard_3-1-0_109070_2020-03-02_final
2020-03-18 10:49:02	ga_ls7e_ard_3-1-0_109070_2020-03-18_final
2020-04-03 10:48:08	ga_ls7e_ard_3-1-0_109070_2020-04-03_final
2020-04-19 10:47:13	ga_ls7e_ard_3-1-0_109070_2020-04-19_final
2020-05-05 10:46:15	ga_ls7e_ard_3-1-0_109070_2020-05-05_final
2020-06-06 10:44:20	ga_ls7e_ard_3-1-0_109070_2020-06-06_final
2020-06-22 10:43:24	ga_ls7e_ard_3-1-0_109070_2020-06-22_final
2020-07-08 10:42:26	ga_ls7e_ard_3-1-0_109070_2020-07-08_final
2020-07-24 10:41:27	ga_ls7e_ard_3-1-0_109070_2020-07-24_final
2020-08-09 10:40:27	ga_ls7e_ard_3-1-0_109070_2020-08-09_final
2020-08-25 10:39:26	ga_ls7e_ard_3-1-0_109070_2020-08-25_final
2020-09-10 10:38:23	ga_ls7e_ard_3-1-0_109070_2020-09-10_final
2020-09-26 10:37:19	ga_ls7e_ard_3-1-0_109070_2020-09-26_final
2020-10-12 10:36:18	ga_ls7e_ard_3-1-0_109070_2020-10-12_final
2020-10-28 10:35:15	ga_ls7e_ard_3-1-0_109070_2020-10-28_final
2020-11-13 10:34:10	ga_ls7e_ard_3-1-0_109070_2020-11-13_final
2020-11-29 10:33:02	ga_ls7e_ard_3-1-0_109070_2020-11-29_final
2020-12-15 10:31:50	ga_ls7e_ard_3-1-0_109070_2020-12-15_final
2020-12-31 10:30:41	ga_ls7e_ard_3-1-0_109070_2020-12-31_final
2021-01-16 10:29:34	ga_ls7e_ard_3-1-0_109070_2021-01-16_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-22 10:22:04	ga_ls7e_ard_3-2-0_109070_2021-04-22_final
2021-05-08 10:20:43	ga_ls7e_ard_3-2-0_109070_2021-05-08_final
2021-05-24 10:19:22	ga_ls7e_ard_3-2-0_109070_2021-05-24_final
2021-06-09 10:18:02	ga_ls7e_ard_3-2-0_109070_2021-06-09_final
2021-06-25 10:16:43	ga_ls7e_ard_3-2-0_109070_2021-06-25_final
2021-07-11 10:15:22	ga_ls7e_ard_3-2-0_109070_2021-07-11_final
2021-07-27 10:13:59	ga_ls7e_ard_3-2-0_109070_2021-07-27_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-10-15 10:06:56	ga_ls7e_ard_3-2-0_109070_2021-10-15_final
2021-10-31 10:05:29	ga_ls7e_ard_3-2-0_109070_2021-10-31_final
2021-11-16 10:03:56	ga_ls7e_ard_3-2-1_109070_2021-11-16_final
2021-12-02 10:02:25	ga_ls7e_ard_3-2-1_109070_2021-12-02_final
2021-12-18 10:00:54	ga_ls7e_ard_3-2-1_109070_2021-12-18_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-02-04 09:56:12	ga_ls7e_ard_3-2-1_109070_2022-02-04_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years