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
2016-07-01 10:49:10	ga_ls7e_ard_3-0-0_105068_2016-07-01_final
2016-07-17 10:49:11	ga_ls7e_ard_3-0-0_105068_2016-07-17_final
2016-08-18 10:49:14	ga_ls7e_ard_3-0-0_105068_2016-08-18_final
2016-09-03 10:49:18	ga_ls7e_ard_3-0-0_105068_2016-09-03_final
2016-09-19 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-09-19_final
2016-10-05 10:49:22	ga_ls7e_ard_3-0-0_105068_2016-10-05_final
2016-10-21 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-10-21_final
2016-11-06 10:49:14	ga_ls7e_ard_3-0-0_105068_2016-11-06_final
2016-11-22 10:49:08	ga_ls7e_ard_3-0-0_105068_2016-11-22_final
2016-12-08 10:49:05	ga_ls7e_ard_3-0-0_105068_2016-12-08_final
2016-12-24 10:48:59	ga_ls7e_ard_3-0-0_105068_2016-12-24_final
2017-01-09 10:48:49	ga_ls7e_ard_3-0-0_105068_2017-01-09_final
2017-02-10 10:48:30	ga_ls7e_ard_3-0-0_105068_2017-02-10_final
2017-02-26 10:48:40	ga_ls7e_ard_3-0-0_105068_2017-02-26_final
2017-03-14 10:48:47	ga_ls7e_ard_3-0-0_105068_2017-03-14_final
2017-04-15 10:48:57	ga_ls7e_ard_3-0-0_105068_2017-04-15_final
2017-05-01 10:49:03	ga_ls7e_ard_3-0-0_105068_2017-05-01_final
2017-05-17 10:49:06	ga_ls7e_ard_3-0-0_105068_2017-05-17_final
2017-06-02 10:49:10	ga_ls7e_ard_3-0-0_105068_2017-06-02_final
2017-06-18 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-06-18_final
2017-07-04 10:49:16	ga_ls7e_ard_3-0-0_105068_2017-07-04_final
2017-07-20 10:49:16	ga_ls7e_ard_3-0-0_105068_2017-07-20_final
2017-08-05 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-08-05_final
2017-09-06 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-09-06_final
2017-09-22 10:49:11	ga_ls7e_ard_3-0-0_105068_2017-09-22_final
2017-10-08 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-10-08_final
2017-11-09 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-11-09_final
2017-11-25 10:49:09	ga_ls7e_ard_3-0-0_105068_2017-11-25_final
2017-12-11 10:49:01	ga_ls7e_ard_3-0-0_105068_2017-12-11_final
2017-12-27 10:48:50	ga_ls7e_ard_3-0-0_105068_2017-12-27_final
2018-03-01 10:47:59	ga_ls7e_ard_3-0-0_105068_2018-03-01_final
2018-04-02 10:47:34	ga_ls7e_ard_3-0-0_105068_2018-04-02_final
2018-04-18 10:47:18	ga_ls7e_ard_3-0-0_105068_2018-04-18_final
2018-05-04 10:47:01	ga_ls7e_ard_3-0-0_105068_2018-05-04_final
2018-05-20 10:46:45	ga_ls7e_ard_3-0-0_105068_2018-05-20_final
2018-06-05 10:46:30	ga_ls7e_ard_3-0-0_105068_2018-06-05_final
2018-06-21 10:46:12	ga_ls7e_ard_3-0-0_105068_2018-06-21_final
2018-07-07 10:45:53	ga_ls7e_ard_3-0-0_105068_2018-07-07_final
2018-07-23 10:45:36	ga_ls7e_ard_3-0-0_105068_2018-07-23_final
2018-08-08 10:45:19	ga_ls7e_ard_3-0-0_105068_2018-08-08_final
2018-08-24 10:45:00	ga_ls7e_ard_3-0-0_105068_2018-08-24_final
2018-09-09 10:44:40	ga_ls7e_ard_3-0-0_105068_2018-09-09_final
2018-09-25 10:44:18	ga_ls7e_ard_3-0-0_105068_2018-09-25_final
2018-11-12 10:43:12	ga_ls7e_ard_3-0-0_105068_2018-11-12_final
2018-12-14 10:42:22	ga_ls7e_ard_3-0-0_105068_2018-12-14_final
2019-01-15 10:41:24	ga_ls7e_ard_3-0-0_105068_2019-01-15_final
2019-02-16 10:40:25	ga_ls7e_ard_3-1-0_105068_2019-02-16_final
2019-03-04 10:39:55	ga_ls7e_ard_3-1-0_105068_2019-03-04_final
2019-03-20 10:39:24	ga_ls7e_ard_3-1-0_105068_2019-03-20_final
2019-04-21 10:38:16	ga_ls7e_ard_3-0-0_105068_2019-04-21_final
2019-05-07 10:37:40	ga_ls7e_ard_3-0-0_105068_2019-05-07_final
2019-06-08 10:36:29	ga_ls7e_ard_3-0-0_105068_2019-06-08_final
2019-06-24 10:35:54	ga_ls7e_ard_3-0-0_105068_2019-06-24_final
2019-07-10 10:35:17	ga_ls7e_ard_3-0-0_105068_2019-07-10_final
2019-08-27 10:33:19	ga_ls7e_ard_3-1-0_105068_2019-08-27_final
2019-09-12 10:32:38	ga_ls7e_ard_3-1-0_105068_2019-09-12_final
2019-09-28 10:31:55	ga_ls7e_ard_3-1-0_105068_2019-09-28_final
2019-10-14 10:31:16	ga_ls7e_ard_3-1-0_105068_2019-10-14_final
2019-10-30 10:30:34	ga_ls7e_ard_3-1-0_105068_2019-10-30_final
2019-12-01 10:29:05	ga_ls7e_ard_3-1-0_105068_2019-12-01_final
2019-12-17 10:28:17	ga_ls7e_ard_3-1-0_105068_2019-12-17_final
2020-01-18 10:26:39	ga_ls7e_ard_3-1-0_105068_2020-01-18_final
2020-02-19 10:25:02	ga_ls7e_ard_3-1-0_105068_2020-02-19_final
2020-03-22 10:23:18	ga_ls7e_ard_3-1-0_105068_2020-03-22_final
2020-04-07 10:22:23	ga_ls7e_ard_3-1-0_105068_2020-04-07_final
2020-05-09 10:20:30	ga_ls7e_ard_3-1-0_105068_2020-05-09_final
2020-05-25 10:19:30	ga_ls7e_ard_3-1-0_105068_2020-05-25_final
2020-06-10 10:18:35	ga_ls7e_ard_3-1-0_105068_2020-06-10_final
2020-06-26 10:17:38	ga_ls7e_ard_3-1-0_105068_2020-06-26_final
2020-07-12 10:16:40	ga_ls7e_ard_3-1-0_105068_2020-07-12_final
2020-07-28 10:15:41	ga_ls7e_ard_3-1-0_105068_2020-07-28_final
2020-08-13 10:14:41	ga_ls7e_ard_3-1-0_105068_2020-08-13_final
2020-08-29 10:13:39	ga_ls7e_ard_3-1-0_105068_2020-08-29_final
2020-09-14 10:12:36	ga_ls7e_ard_3-1-0_105068_2020-09-14_final
2020-11-01 10:09:28	ga_ls7e_ard_3-1-0_105068_2020-11-01_final
2020-11-17 10:08:22	ga_ls7e_ard_3-1-0_105068_2020-11-17_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2021-02-21 10:01:23	ga_ls7e_ard_3-2-0_105068_2021-02-21_final
2021-03-09 10:00:09	ga_ls7e_ard_3-2-0_105068_2021-03-09_final
2021-04-10 09:57:33	ga_ls7e_ard_3-2-0_105068_2021-04-10_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-12 09:54:52	ga_ls7e_ard_3-2-0_105068_2021-05-12_final
2021-05-28 09:53:30	ga_ls7e_ard_3-2-0_105068_2021-05-28_final
2021-06-13 09:52:11	ga_ls7e_ard_3-2-0_105068_2021-06-13_final
2021-06-29 09:50:52	ga_ls7e_ard_3-2-0_105068_2021-06-29_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-07-31 09:48:07	ga_ls7e_ard_3-2-0_105068_2021-07-31_final
2021-08-16 09:46:42	ga_ls7e_ard_3-2-0_105068_2021-08-16_final
2021-09-01 09:45:19	ga_ls7e_ard_3-2-0_105068_2021-09-01_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-10-03 09:42:29	ga_ls7e_ard_3-2-0_105068_2021-10-03_final
2021-10-19 09:41:04	ga_ls7e_ard_3-2-0_105068_2021-10-19_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-22 09:34:59	ga_ls7e_ard_3-2-1_105068_2021-12-22_final
2022-01-07 09:33:23	ga_ls7e_ard_3-2-1_105068_2022-01-07_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_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