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
2012-01-16 10:19:30	ga_ls7e_ard_3-0-0_101077_2012-01-16_final
2012-02-01 10:19:32	ga_ls7e_ard_3-0-0_101077_2012-02-01_final
2012-02-17 10:19:37	ga_ls7e_ard_3-0-0_101077_2012-02-17_final
2012-03-04 10:19:35	ga_ls7e_ard_3-0-0_101077_2012-03-04_final
2012-04-21 10:19:39	ga_ls7e_ard_3-0-0_101077_2012-04-21_final
2012-05-23 10:20:06	ga_ls7e_ard_3-0-0_101077_2012-05-23_final
2012-06-08 10:19:49	ga_ls7e_ard_3-0-0_101077_2012-06-08_final
2012-06-24 10:19:57	ga_ls7e_ard_3-0-0_101077_2012-06-24_final
2012-07-10 10:20:12	ga_ls7e_ard_3-0-0_101077_2012-07-10_final
2012-08-11 10:20:34	ga_ls7e_ard_3-0-0_101077_2012-08-11_final
2012-08-27 10:20:43	ga_ls7e_ard_3-0-0_101077_2012-08-27_final
2012-09-12 10:20:54	ga_ls7e_ard_3-0-0_101077_2012-09-12_final
2012-10-14 10:21:11	ga_ls7e_ard_3-0-0_101077_2012-10-14_final
2012-10-30 10:21:19	ga_ls7e_ard_3-0-0_101077_2012-10-30_final
2012-11-15 10:21:25	ga_ls7e_ard_3-0-0_101077_2012-11-15_final
2013-01-02 10:21:39	ga_ls7e_ard_3-0-0_101077_2013-01-02_final
2013-02-03 10:21:42	ga_ls7e_ard_3-0-0_101077_2013-02-03_final
2013-02-19 10:21:40	ga_ls7e_ard_3-0-0_101077_2013-02-19_final
2013-03-07 10:21:37	ga_ls7e_ard_3-0-0_101077_2013-03-07_final
2013-03-23 10:21:33	ga_ls7e_ard_3-0-0_101077_2013-03-23_final
2013-04-08 10:21:31	ga_ls7e_ard_3-0-0_101077_2013-04-08_final
2013-04-24 10:21:23	ga_ls7e_ard_3-0-0_101077_2013-04-24_final
2013-05-10 10:21:21	ga_ls7e_ard_3-0-0_101077_2013-05-10_final
2013-06-11 10:21:09	ga_ls7e_ard_3-0-0_101077_2013-06-11_final
2013-08-14 10:20:44	ga_ls7e_ard_3-0-0_101077_2013-08-14_final
2013-08-30 10:20:56	ga_ls7e_ard_3-0-0_101077_2013-08-30_final
2013-09-15 10:21:07	ga_ls7e_ard_3-0-0_101077_2013-09-15_final
2013-10-01 10:21:17	ga_ls7e_ard_3-0-0_101077_2013-10-01_final
2013-11-02 10:21:34	ga_ls7e_ard_3-0-0_101077_2013-11-02_final
2014-01-05 10:21:55	ga_ls7e_ard_3-0-0_101077_2014-01-05_final
2018-06-25 10:25:00	ga_ls7e_ard_3-0-0_101077_2018-06-25_final
2018-07-11 10:24:40	ga_ls7e_ard_3-0-0_101077_2018-07-11_final
2018-08-28 10:23:47	ga_ls7e_ard_3-0-0_101077_2018-08-28_final
2018-09-13 10:23:27	ga_ls7e_ard_3-0-0_101077_2018-09-13_final
2018-09-29 10:23:05	ga_ls7e_ard_3-0-0_101077_2018-09-29_final
2018-10-15 10:22:41	ga_ls7e_ard_3-0-0_101077_2018-10-15_final
2018-10-31 10:22:20	ga_ls7e_ard_3-0-0_101077_2018-10-31_final
2018-12-02 10:21:34	ga_ls7e_ard_3-0-0_101077_2018-12-02_final
2018-12-18 10:21:07	ga_ls7e_ard_3-0-0_101077_2018-12-18_final
2019-01-03 10:20:39	ga_ls7e_ard_3-0-0_101077_2019-01-03_final
2019-01-19 10:20:09	ga_ls7e_ard_3-0-0_101077_2019-01-19_final
2019-02-04 10:19:38	ga_ls7e_ard_3-0-0_101077_2019-02-04_final
2019-02-20 10:19:10	ga_ls7e_ard_3-1-0_101077_2019-02-20_final
2019-04-09 10:17:35	ga_ls7e_ard_3-0-0_101077_2019-04-09_final
2019-04-25 10:17:00	ga_ls7e_ard_3-0-0_101077_2019-04-25_final
2019-05-11 10:16:23	ga_ls7e_ard_3-0-0_101077_2019-05-11_final
2019-06-12 10:15:12	ga_ls7e_ard_3-0-0_101077_2019-06-12_final
2019-07-14 10:14:00	ga_ls7e_ard_3-0-0_101077_2019-07-14_final
2019-07-30 10:13:22	ga_ls7e_ard_3-0-0_101077_2019-07-30_final
2019-08-15 10:12:42	ga_ls7e_ard_3-0-0_101077_2019-08-15_final
2019-08-31 10:12:01	ga_ls7e_ard_3-1-0_101077_2019-08-31_final
2019-09-16 10:11:19	ga_ls7e_ard_3-1-0_101077_2019-09-16_final
2019-11-03 10:09:16	ga_ls7e_ard_3-1-0_101077_2019-11-03_final
2019-11-19 10:08:32	ga_ls7e_ard_3-1-0_101077_2019-11-19_final
2020-01-06 10:06:07	ga_ls7e_ard_3-1-0_101077_2020-01-06_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-02-07 10:04:31	ga_ls7e_ard_3-1-0_101077_2020-02-07_final
2020-02-23 10:03:41	ga_ls7e_ard_3-1-0_101077_2020-02-23_final
2020-03-10 10:02:50	ga_ls7e_ard_3-1-0_101077_2020-03-10_final
2020-03-26 10:01:57	ga_ls7e_ard_3-1-0_101077_2020-03-26_final
2020-04-11 10:01:02	ga_ls7e_ard_3-1-0_101077_2020-04-11_final
2020-04-27 10:00:05	ga_ls7e_ard_3-1-0_101077_2020-04-27_final
2020-05-29 09:58:08	ga_ls7e_ard_3-1-0_101077_2020-05-29_final
2020-06-14 09:57:13	ga_ls7e_ard_3-1-0_101077_2020-06-14_final
2020-06-30 09:56:16	ga_ls7e_ard_3-1-0_101077_2020-06-30_final
2020-07-16 09:55:18	ga_ls7e_ard_3-1-0_101077_2020-07-16_final
2020-08-01 09:54:18	ga_ls7e_ard_3-1-0_101077_2020-08-01_final
2020-08-17 09:53:18	ga_ls7e_ard_3-1-0_101077_2020-08-17_final
2020-09-02 09:52:15	ga_ls7e_ard_3-1-0_101077_2020-09-02_final
2020-09-18 09:51:12	ga_ls7e_ard_3-1-0_101077_2020-09-18_final
2020-10-04 09:50:10	ga_ls7e_ard_3-1-0_101077_2020-10-04_final
2020-10-20 09:49:08	ga_ls7e_ard_3-1-0_101077_2020-10-20_final
2020-11-05 09:48:04	ga_ls7e_ard_3-1-0_101077_2020-11-05_final
2020-11-21 09:46:58	ga_ls7e_ard_3-1-0_101077_2020-11-21_final
2021-01-08 09:43:29	ga_ls7e_ard_3-1-0_101077_2021-01-08_final
2021-01-24 09:42:21	ga_ls7e_ard_3-2-0_101077_2021-01-24_final
2021-02-09 09:41:10	ga_ls7e_ard_3-2-0_101077_2021-02-09_final
2021-02-25 09:39:57	ga_ls7e_ard_3-2-0_101077_2021-02-25_final
2021-03-13 09:38:42	ga_ls7e_ard_3-2-0_101077_2021-03-13_final
2021-03-29 09:37:25	ga_ls7e_ard_3-2-0_101077_2021-03-29_final
2021-04-14 09:36:06	ga_ls7e_ard_3-2-0_101077_2021-04-14_final
2021-04-30 09:34:44	ga_ls7e_ard_3-2-0_101077_2021-04-30_final
2021-05-16 09:33:24	ga_ls7e_ard_3-2-0_101077_2021-05-16_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_final
2021-08-04 09:26:38	ga_ls7e_ard_3-2-0_101077_2021-08-03_final
2021-08-20 09:25:13	ga_ls7e_ard_3-2-0_101077_2021-08-19_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-21 09:22:25	ga_ls7e_ard_3-2-0_101077_2021-09-20_final
2021-10-07 09:21:00	ga_ls7e_ard_3-2-0_101077_2021-10-06_final
2021-10-23 09:19:34	ga_ls7e_ard_3-2-0_101077_2021-10-22_final
2021-11-08 09:18:04	ga_ls7e_ard_3-2-0_101077_2021-11-07_final
2021-11-24 09:16:30	ga_ls7e_ard_3-2-1_101077_2021-11-23_final
2021-12-10 09:15:01	ga_ls7e_ard_3-2-1_101077_2021-12-09_final
2021-12-26 09:13:27	ga_ls7e_ard_3-2-1_101077_2021-12-25_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-02-12 09:08:43	ga_ls7e_ard_3-2-1_101077_2022-02-11_final
2022-02-28 09:07:10	ga_ls7e_ard_3-2-1_101077_2022-02-27_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