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
2012-02-05 09:56:26	ga_ls7e_ard_3-0-0_097081_2012-02-05_final
2012-02-21 09:56:30	ga_ls7e_ard_3-0-0_097081_2012-02-21_final
2012-03-08 09:56:26	ga_ls7e_ard_3-0-0_097081_2012-03-08_final
2012-06-28 09:56:52	ga_ls7e_ard_3-0-0_097081_2012-06-28_final
2012-08-15 09:57:29	ga_ls7e_ard_3-0-0_097081_2012-08-15_final
2012-10-02 09:57:58	ga_ls7e_ard_3-0-0_097081_2012-10-02_final
2012-10-18 09:58:07	ga_ls7e_ard_3-0-0_097081_2012-10-18_final
2012-11-03 09:58:12	ga_ls7e_ard_3-0-0_097081_2012-11-03_final
2012-11-19 09:58:20	ga_ls7e_ard_3-0-0_097081_2012-11-19_final
2012-12-05 09:58:19	ga_ls7e_ard_3-0-0_097081_2012-12-05_final
2012-12-21 09:58:29	ga_ls7e_ard_3-0-0_097081_2012-12-21_final
2013-01-22 09:58:32	ga_ls7e_ard_3-0-0_097081_2013-01-22_final
2013-02-07 09:58:34	ga_ls7e_ard_3-0-0_097081_2013-02-07_final
2013-02-23 09:58:31	ga_ls7e_ard_3-0-0_097081_2013-02-23_final
2013-03-11 09:58:30	ga_ls7e_ard_3-0-0_097081_2013-03-11_final
2013-03-27 09:58:23	ga_ls7e_ard_3-0-0_097081_2013-03-27_final
2013-05-14 09:58:14	ga_ls7e_ard_3-0-0_097081_2013-05-14_final
2013-06-15 09:58:01	ga_ls7e_ard_3-0-0_097081_2013-06-15_final
2013-07-01 09:57:53	ga_ls7e_ard_3-0-0_097081_2013-07-01_final
2013-07-17 09:57:44	ga_ls7e_ard_3-0-0_097081_2013-07-17_final
2013-08-02 09:57:36	ga_ls7e_ard_3-0-0_097081_2013-08-02_final
2013-08-18 09:57:40	ga_ls7e_ard_3-0-0_097081_2013-08-18_final
2013-10-21 09:58:24	ga_ls7e_ard_3-0-0_097081_2013-10-21_final
2014-02-26 09:59:04	ga_ls7e_ard_3-0-0_097081_2014-02-26_final
2018-09-01 10:00:35	ga_ls7e_ard_3-0-0_097081_2018-09-01_final
2018-10-03 09:59:51	ga_ls7e_ard_3-0-0_097081_2018-10-03_final
2018-10-19 09:59:28	ga_ls7e_ard_3-0-0_097081_2018-10-19_final
2018-11-04 09:59:07	ga_ls7e_ard_3-0-0_097081_2018-11-04_final
2018-11-20 09:58:45	ga_ls7e_ard_3-0-0_097081_2018-11-20_final
2018-12-06 09:58:20	ga_ls7e_ard_3-0-0_097081_2018-12-06_final
2018-12-22 09:57:53	ga_ls7e_ard_3-0-0_097081_2018-12-22_final
2019-01-07 09:57:24	ga_ls7e_ard_3-0-0_097081_2019-01-07_final
2019-01-23 09:56:53	ga_ls7e_ard_3-0-0_097081_2019-01-23_final
2019-02-08 09:56:24	ga_ls7e_ard_3-0-0_097081_2019-02-08_final
2019-02-24 09:55:55	ga_ls7e_ard_3-1-0_097081_2019-02-24_final
2019-03-12 09:55:24	ga_ls7e_ard_3-1-0_097081_2019-03-12_final
2019-03-28 09:54:52	ga_ls7e_ard_3-1-0_097081_2019-03-28_final
2019-04-13 09:54:19	ga_ls7e_ard_3-0-0_097081_2019-04-13_final
2019-04-29 09:53:43	ga_ls7e_ard_3-0-0_097081_2019-04-29_final
2019-05-15 09:53:06	ga_ls7e_ard_3-0-0_097081_2019-05-15_final
2019-05-31 09:52:31	ga_ls7e_ard_3-0-0_097081_2019-05-31_final
2019-07-02 09:51:20	ga_ls7e_ard_3-0-0_097081_2019-07-02_final
2019-07-18 09:50:43	ga_ls7e_ard_3-0-0_097081_2019-07-18_final
2019-08-03 09:50:04	ga_ls7e_ard_3-0-0_097081_2019-08-03_final
2019-08-19 09:49:25	ga_ls7e_ard_3-0-0_097081_2019-08-19_final
2019-09-04 09:48:43	ga_ls7e_ard_3-1-0_097081_2019-09-04_final
2019-09-20 09:48:01	ga_ls7e_ard_3-1-0_097081_2019-09-20_final
2019-10-06 09:47:21	ga_ls7e_ard_3-1-0_097081_2019-10-06_final
2019-10-22 09:46:40	ga_ls7e_ard_3-1-0_097081_2019-10-22_final
2019-11-07 09:45:58	ga_ls7e_ard_3-1-0_097081_2019-11-07_final
2019-12-25 09:43:37	ga_ls7e_ard_3-1-0_097081_2019-12-25_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-01-26 09:42:00	ga_ls7e_ard_3-1-0_097081_2020-01-26_final
2020-02-11 09:41:11	ga_ls7e_ard_3-1-0_097081_2020-02-11_final
2020-02-27 09:40:21	ga_ls7e_ard_3-1-0_097081_2020-02-27_final
2020-03-14 09:39:29	ga_ls7e_ard_3-1-0_097081_2020-03-14_final
2020-03-30 09:38:36	ga_ls7e_ard_3-1-0_097081_2020-03-30_final
2020-04-15 09:37:41	ga_ls7e_ard_3-1-0_097081_2020-04-15_final
2020-05-01 09:36:44	ga_ls7e_ard_3-1-0_097081_2020-05-01_final
2020-05-17 09:35:45	ga_ls7e_ard_3-1-0_097081_2020-05-17_final
2020-06-02 09:34:47	ga_ls7e_ard_3-1-0_097081_2020-06-02_final
2020-06-18 09:33:51	ga_ls7e_ard_3-1-0_097081_2020-06-18_final
2020-07-04 09:32:54	ga_ls7e_ard_3-1-0_097081_2020-07-04_final
2020-07-20 09:31:56	ga_ls7e_ard_3-1-0_097081_2020-07-20_final
2020-08-05 09:30:56	ga_ls7e_ard_3-1-0_097081_2020-08-05_final
2020-08-21 09:29:55	ga_ls7e_ard_3-1-0_097081_2020-08-20_final
2020-09-06 09:28:52	ga_ls7e_ard_3-1-0_097081_2020-09-05_final
2020-09-22 09:27:48	ga_ls7e_ard_3-1-0_097081_2020-09-21_final
2020-10-08 09:26:48	ga_ls7e_ard_3-1-0_097081_2020-10-07_final
2020-11-09 09:24:40	ga_ls7e_ard_3-1-0_097081_2020-11-08_final
2020-11-25 09:23:33	ga_ls7e_ard_3-1-0_097081_2020-11-24_final
2020-12-11 09:22:22	ga_ls7e_ard_3-1-0_097081_2020-12-10_final
2020-12-27 09:21:11	ga_ls7e_ard_3-1-0_097081_2020-12-26_final
2021-01-12 09:20:05	ga_ls7e_ard_3-1-0_097081_2021-01-11_final
2021-01-28 09:18:56	ga_ls7e_ard_3-2-0_097081_2021-01-27_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-03-01 09:16:31	ga_ls7e_ard_3-2-0_097081_2021-02-28_final
2021-03-17 09:15:16	ga_ls7e_ard_3-2-0_097081_2021-03-16_final
2021-04-02 09:13:58	ga_ls7e_ard_3-2-0_097081_2021-04-01_final
2021-04-18 09:12:38	ga_ls7e_ard_3-2-0_097081_2021-04-17_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-20 09:09:56	ga_ls7e_ard_3-2-0_097081_2021-05-19_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-07-07 09:05:56	ga_ls7e_ard_3-2-0_097081_2021-07-06_final
2021-07-23 09:04:34	ga_ls7e_ard_3-2-0_097081_2021-07-22_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-24 09:01:45	ga_ls7e_ard_3-2-0_097081_2021-08-23_final
2021-09-09 09:00:22	ga_ls7e_ard_3-2-0_097081_2021-09-08_final
2021-09-25 08:58:56	ga_ls7e_ard_3-2-0_097081_2021-09-24_final
2021-10-11 08:57:31	ga_ls7e_ard_3-2-0_097081_2021-10-10_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-12-14 08:51:31	ga_ls7e_ard_3-2-1_097081_2021-12-13_final
2021-12-30 08:49:56	ga_ls7e_ard_3-2-1_097081_2021-12-29_final
2022-01-15 08:48:23	ga_ls7e_ard_3-2-1_097081_2022-01-14_final
2022-01-31 08:46:50	ga_ls7e_ard_3-2-1_097081_2022-01-30_final
2022-02-16 08:45:11	ga_ls7e_ard_3-2-1_097081_2022-02-15_final
2022-03-04 08:43:39	ga_ls7e_ard_3-2-1_097081_2022-03-03_final
2022-03-20 08:42:04	ga_ls7e_ard_3-2-1_097081_2022-03-19_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