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
2015-08-19 11:18:57	ga_ls7e_ard_3-1-0_110072_2015-08-19_final
2017-03-17 11:21:17	ga_ls7e_ard_3-1-0_110072_2017-03-17_final
2017-04-18 11:21:28	ga_ls7e_ard_3-1-0_110072_2017-04-18_final
2017-09-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-09_final
2017-10-11 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-10-11_final
2017-10-27 11:21:45	ga_ls7e_ard_3-1-0_110072_2017-10-27_final
2017-11-12 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-11-12_final
2017-11-28 11:21:37	ga_ls7e_ard_3-1-0_110072_2017-11-28_final
2017-12-14 11:21:29	ga_ls7e_ard_3-1-0_110072_2017-12-14_final
2017-12-30 11:21:18	ga_ls7e_ard_3-1-0_110072_2017-12-30_final
2018-01-15 11:21:04	ga_ls7e_ard_3-1-0_110072_2018-01-15_final
2018-03-04 11:20:27	ga_ls7e_ard_3-1-0_110072_2018-03-04_final
2018-03-20 11:20:15	ga_ls7e_ard_3-1-0_110072_2018-03-20_final
2018-04-05 11:20:01	ga_ls7e_ard_3-1-0_110072_2018-04-05_final
2018-04-21 11:19:45	ga_ls7e_ard_3-1-0_110072_2018-04-21_final
2018-05-07 11:19:27	ga_ls7e_ard_3-1-0_110072_2018-05-07_final
2018-05-23 11:19:12	ga_ls7e_ard_3-1-0_110072_2018-05-23_final
2018-06-08 11:18:57	ga_ls7e_ard_3-1-0_110072_2018-06-08_final
2018-06-24 11:18:39	ga_ls7e_ard_3-1-0_110072_2018-06-24_final
2018-07-10 11:18:19	ga_ls7e_ard_3-1-0_110072_2018-07-10_final
2018-07-26 11:18:03	ga_ls7e_ard_3-1-0_110072_2018-07-26_final
2018-08-11 11:17:45	ga_ls7e_ard_3-1-0_110072_2018-08-11_final
2018-08-27 11:17:26	ga_ls7e_ard_3-1-0_110072_2018-08-27_final
2018-09-12 11:17:06	ga_ls7e_ard_3-1-0_110072_2018-09-12_final
2018-09-28 11:16:44	ga_ls7e_ard_3-1-0_110072_2018-09-28_final
2018-10-14 11:16:20	ga_ls7e_ard_3-1-0_110072_2018-10-14_final
2018-10-30 11:15:59	ga_ls7e_ard_3-1-0_110072_2018-10-30_final
2018-11-15 11:15:37	ga_ls7e_ard_3-1-0_110072_2018-11-15_final
2018-12-01 11:15:13	ga_ls7e_ard_3-1-0_110072_2018-12-01_final
2018-12-17 11:14:47	ga_ls7e_ard_3-1-0_110072_2018-12-17_final
2019-01-02 11:14:18	ga_ls7e_ard_3-1-0_110072_2019-01-02_final
2019-01-18 11:13:48	ga_ls7e_ard_3-1-0_110072_2019-01-18_final
2019-02-03 11:13:18	ga_ls7e_ard_3-1-0_110072_2019-02-03_final
2019-02-19 11:12:49	ga_ls7e_ard_3-1-0_110072_2019-02-19_final
2019-03-07 11:12:19	ga_ls7e_ard_3-1-0_110072_2019-03-07_final
2019-03-23 11:11:48	ga_ls7e_ard_3-1-0_110072_2019-03-23_final
2019-04-24 11:10:40	ga_ls7e_ard_3-1-0_110072_2019-04-24_final
2019-05-10 11:10:03	ga_ls7e_ard_3-1-0_110072_2019-05-10_final
2019-05-26 11:09:26	ga_ls7e_ard_3-1-0_110072_2019-05-26_final
2019-06-11 11:08:52	ga_ls7e_ard_3-1-0_110072_2019-06-11_final
2019-06-27 11:08:17	ga_ls7e_ard_3-1-0_110072_2019-06-27_final
2019-07-13 11:07:40	ga_ls7e_ard_3-1-0_110072_2019-07-13_final
2019-07-29 11:07:02	ga_ls7e_ard_3-1-0_110072_2019-07-29_final
2019-08-14 11:06:22	ga_ls7e_ard_3-1-0_110072_2019-08-14_final
2019-08-30 11:05:41	ga_ls7e_ard_3-1-0_110072_2019-08-30_final
2019-09-15 11:04:59	ga_ls7e_ard_3-1-0_110072_2019-09-15_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-17 11:03:38	ga_ls7e_ard_3-1-0_110072_2019-10-17_final
2019-11-02 11:02:56	ga_ls7e_ard_3-1-0_110072_2019-11-02_final
2019-11-18 11:02:12	ga_ls7e_ard_3-1-0_110072_2019-11-18_final
2019-12-04 11:01:26	ga_ls7e_ard_3-1-0_110072_2019-12-04_final
2019-12-20 11:00:38	ga_ls7e_ard_3-1-0_110072_2019-12-20_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-02-06 10:58:12	ga_ls7e_ard_3-1-0_110072_2020-02-06_final
2020-02-22 10:57:22	ga_ls7e_ard_3-1-0_110072_2020-02-22_final
2020-03-09 10:56:30	ga_ls7e_ard_3-1-0_110072_2020-03-09_final
2020-03-25 10:55:37	ga_ls7e_ard_3-1-0_110072_2020-03-25_final
2020-04-10 10:54:43	ga_ls7e_ard_3-1-0_110072_2020-04-10_final
2020-04-26 10:53:47	ga_ls7e_ard_3-1-0_110072_2020-04-26_final
2020-05-12 10:52:48	ga_ls7e_ard_3-1-0_110072_2020-05-12_final
2020-06-13 10:50:54	ga_ls7e_ard_3-1-0_110072_2020-06-13_final
2020-06-29 10:49:57	ga_ls7e_ard_3-1-0_110072_2020-06-29_final
2020-07-15 10:48:59	ga_ls7e_ard_3-1-0_110072_2020-07-15_final
2020-07-31 10:48:00	ga_ls7e_ard_3-1-0_110072_2020-07-31_final
2020-08-16 10:46:59	ga_ls7e_ard_3-1-0_110072_2020-08-16_final
2020-09-01 10:45:57	ga_ls7e_ard_3-1-0_110072_2020-09-01_final
2020-09-17 10:44:53	ga_ls7e_ard_3-1-0_110072_2020-09-17_final
2020-10-03 10:43:52	ga_ls7e_ard_3-1-0_110072_2020-10-03_final
2020-10-19 10:42:50	ga_ls7e_ard_3-1-0_110072_2020-10-19_final
2020-11-04 10:41:46	ga_ls7e_ard_3-1-0_110072_2020-11-04_final
2020-12-06 10:39:30	ga_ls7e_ard_3-1-0_110072_2020-12-06_final
2020-12-22 10:38:17	ga_ls7e_ard_3-1-0_110072_2020-12-22_final
2021-01-07 10:37:11	ga_ls7e_ard_3-1-0_110072_2021-01-07_final
2021-01-23 10:36:02	ga_ls7e_ard_3-2-0_110072_2021-01-23_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-03-12 10:32:25	ga_ls7e_ard_3-2-0_110072_2021-03-12_final
2021-03-28 10:31:07	ga_ls7e_ard_3-2-0_110072_2021-03-28_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-05-15 10:27:07	ga_ls7e_ard_3-2-0_110072_2021-05-15_final
2021-05-31 10:25:44	ga_ls7e_ard_3-2-0_110072_2021-05-31_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-07-18 10:21:45	ga_ls7e_ard_3-2-0_110072_2021-07-18_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-20 10:16:08	ga_ls7e_ard_3-2-0_110072_2021-09-20_final
2021-10-06 10:14:43	ga_ls7e_ard_3-2-0_110072_2021-10-06_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-12-09 10:08:44	ga_ls7e_ard_3-2-1_110072_2021-12-09_final
2021-12-25 10:07:11	ga_ls7e_ard_3-2-1_110072_2021-12-25_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-27 10:00:53	ga_ls7e_ard_3-2-1_110072_2022-02-27_final
2022-03-15 09:59:18	ga_ls7e_ard_3-2-1_110072_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