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
2015-04-03 10:41:07	ga_ls7e_ard_3-0-0_104072_2015-04-03_final
2015-04-19 10:41:15	ga_ls7e_ard_3-0-0_104072_2015-04-19_final
2015-05-05 10:41:21	ga_ls7e_ard_3-0-0_104072_2015-05-05_final
2015-05-21 10:41:29	ga_ls7e_ard_3-0-0_104072_2015-05-21_final
2015-06-06 10:41:35	ga_ls7e_ard_3-0-0_104072_2015-06-06_final
2015-06-22 10:41:38	ga_ls7e_ard_3-0-0_104072_2015-06-22_final
2015-07-24 10:41:47	ga_ls7e_ard_3-0-0_104072_2015-07-24_final
2015-08-09 10:41:51	ga_ls7e_ard_3-0-0_104072_2015-08-09_final
2015-08-25 10:41:52	ga_ls7e_ard_3-0-0_104072_2015-08-25_final
2015-09-10 10:41:55	ga_ls7e_ard_3-0-0_104072_2015-09-10_final
2015-10-28 10:42:26	ga_ls7e_ard_3-0-0_104072_2015-10-28_final
2015-11-13 10:42:42	ga_ls7e_ard_3-0-0_104072_2015-11-13_final
2015-11-29 10:42:55	ga_ls7e_ard_3-0-0_104072_2015-11-29_final
2016-01-16 10:43:40	ga_ls7e_ard_3-0-0_104072_2016-01-16_final
2016-02-17 10:43:54	ga_ls7e_ard_3-0-0_104072_2016-02-17_final
2016-03-04 10:44:01	ga_ls7e_ard_3-0-0_104072_2016-03-04_final
2016-04-21 10:44:20	ga_ls7e_ard_3-0-0_104072_2016-04-21_final
2016-05-07 10:44:25	ga_ls7e_ard_3-0-0_104072_2016-05-07_final
2016-05-23 10:44:28	ga_ls7e_ard_3-0-0_104072_2016-05-23_final
2016-06-08 10:44:33	ga_ls7e_ard_3-0-0_104072_2016-06-08_final
2016-06-24 10:44:35	ga_ls7e_ard_3-0-0_104072_2016-06-24_final
2016-07-10 10:44:35	ga_ls7e_ard_3-0-0_104072_2016-07-10_final
2016-07-26 10:44:37	ga_ls7e_ard_3-0-0_104072_2016-07-26_final
2016-08-11 10:44:39	ga_ls7e_ard_3-0-0_104072_2016-08-11_final
2016-09-12 10:44:44	ga_ls7e_ard_3-0-0_104072_2016-09-12_final
2016-10-14 10:44:46	ga_ls7e_ard_3-0-0_104072_2016-10-14_final
2016-10-30 10:44:42	ga_ls7e_ard_3-0-0_104072_2016-10-30_final
2016-11-15 10:44:34	ga_ls7e_ard_3-0-0_104072_2016-11-15_final
2016-12-01 10:44:32	ga_ls7e_ard_3-0-0_104072_2016-12-01_final
2017-02-19 10:44:01	ga_ls7e_ard_3-0-0_104072_2017-02-19_final
2017-03-23 10:44:14	ga_ls7e_ard_3-0-0_104072_2017-03-23_final
2017-04-24 10:44:26	ga_ls7e_ard_3-0-0_104072_2017-04-24_final
2017-05-10 10:44:30	ga_ls7e_ard_3-0-0_104072_2017-05-10_final
2017-06-11 10:44:38	ga_ls7e_ard_3-0-0_104072_2017-06-11_final
2017-07-13 10:44:41	ga_ls7e_ard_3-0-0_104072_2017-07-13_final
2017-11-18 10:44:36	ga_ls7e_ard_3-0-0_104072_2017-11-18_final
2017-12-04 10:44:30	ga_ls7e_ard_3-0-0_104072_2017-12-04_final
2018-02-22 10:43:28	ga_ls7e_ard_3-0-0_104072_2018-02-22_final
2018-04-27 10:42:34	ga_ls7e_ard_3-0-0_104072_2018-04-27_final
2018-05-13 10:42:17	ga_ls7e_ard_3-0-0_104072_2018-05-13_final
2018-05-29 10:42:02	ga_ls7e_ard_3-0-0_104072_2018-05-29_final
2018-08-01 10:40:51	ga_ls7e_ard_3-0-0_104072_2018-08-01_final
2018-12-07 10:37:59	ga_ls7e_ard_3-0-0_104072_2018-12-07_final
2018-12-23 10:37:31	ga_ls7e_ard_3-0-0_104072_2018-12-23_final
2019-04-30 10:33:21	ga_ls7e_ard_3-0-0_104072_2019-04-30_final
2019-07-03 10:30:58	ga_ls7e_ard_3-0-0_104072_2019-07-03_final
2019-07-19 10:30:21	ga_ls7e_ard_3-0-0_104072_2019-07-19_final
2019-08-04 10:29:42	ga_ls7e_ard_3-0-0_104072_2019-08-04_final
2019-08-20 10:29:02	ga_ls7e_ard_3-0-0_104072_2019-08-20_final
2019-09-05 10:28:21	ga_ls7e_ard_3-1-0_104072_2019-09-05_final
2019-09-21 10:27:38	ga_ls7e_ard_3-1-0_104072_2019-09-21_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-23 10:26:18	ga_ls7e_ard_3-1-0_104072_2019-10-23_final
2019-11-08 10:25:35	ga_ls7e_ard_3-1-0_104072_2019-11-08_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-12-10 10:24:03	ga_ls7e_ard_3-1-0_104072_2019-12-10_final
2019-12-26 10:23:14	ga_ls7e_ard_3-1-0_104072_2019-12-26_final
2020-01-11 10:22:25	ga_ls7e_ard_3-1-0_104072_2020-01-11_final
2020-01-27 10:21:37	ga_ls7e_ard_3-1-0_104072_2020-01-27_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-03-15 10:19:06	ga_ls7e_ard_3-1-0_104072_2020-03-15_final
2020-03-31 10:18:12	ga_ls7e_ard_3-1-0_104072_2020-03-31_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-05-02 10:16:20	ga_ls7e_ard_3-1-0_104072_2020-05-02_final
2020-05-18 10:15:21	ga_ls7e_ard_3-1-0_104072_2020-05-18_final
2020-06-03 10:14:24	ga_ls7e_ard_3-1-0_104072_2020-06-03_final
2020-06-19 10:13:28	ga_ls7e_ard_3-1-0_104072_2020-06-19_final
2020-07-05 10:12:31	ga_ls7e_ard_3-1-0_104072_2020-07-05_final
2020-07-21 10:11:32	ga_ls7e_ard_3-1-0_104072_2020-07-21_final
2020-08-06 10:10:32	ga_ls7e_ard_3-1-0_104072_2020-08-06_final
2020-08-22 10:09:31	ga_ls7e_ard_3-1-0_104072_2020-08-22_final
2020-09-07 10:08:28	ga_ls7e_ard_3-1-0_104072_2020-09-07_final
2020-09-23 10:07:24	ga_ls7e_ard_3-1-0_104072_2020-09-23_final
2020-10-09 10:06:24	ga_ls7e_ard_3-1-0_104072_2020-10-09_final
2020-10-25 10:05:21	ga_ls7e_ard_3-1-0_104072_2020-10-25_final
2020-11-10 10:04:16	ga_ls7e_ard_3-1-0_104072_2020-11-10_final
2020-11-26 10:03:09	ga_ls7e_ard_3-1-0_104072_2020-11-26_final
2021-03-02 09:56:07	ga_ls7e_ard_3-2-0_104072_2021-03-02_final
2021-04-03 09:53:33	ga_ls7e_ard_3-2-0_104072_2021-04-03_final
2021-04-19 09:52:13	ga_ls7e_ard_3-2-0_104072_2021-04-19_final
2021-05-05 09:50:52	ga_ls7e_ard_3-2-0_104072_2021-05-05_final
2021-05-21 09:49:31	ga_ls7e_ard_3-2-0_104072_2021-05-21_final
2021-06-06 09:48:10	ga_ls7e_ard_3-2-0_104072_2021-06-06_final
2021-06-22 09:46:52	ga_ls7e_ard_3-2-0_104072_2021-06-22_final
2021-07-08 09:45:31	ga_ls7e_ard_3-2-0_104072_2021-07-08_final
2021-07-24 09:44:09	ga_ls7e_ard_3-2-0_104072_2021-07-24_final
2021-08-09 09:42:44	ga_ls7e_ard_3-2-0_104072_2021-08-09_final
2021-08-25 09:41:20	ga_ls7e_ard_3-2-0_104072_2021-08-25_final
2021-09-10 09:39:57	ga_ls7e_ard_3-2-0_104072_2021-09-10_final
2021-09-26 09:38:31	ga_ls7e_ard_3-2-0_104072_2021-09-26_final
2021-10-12 09:37:06	ga_ls7e_ard_3-2-0_104072_2021-10-12_final
2021-10-28 09:35:39	ga_ls7e_ard_3-2-0_104072_2021-10-28_final
2021-11-13 09:34:08	ga_ls7e_ard_3-2-1_104072_2021-11-13_final
2021-11-29 09:32:36	ga_ls7e_ard_3-2-1_104072_2021-11-29_final
2021-12-31 09:29:30	ga_ls7e_ard_3-2-1_104072_2021-12-30_final
2022-01-16 09:27:58	ga_ls7e_ard_3-2-1_104072_2022-01-15_final
2022-02-01 09:26:24	ga_ls7e_ard_3-2-1_104072_2022-01-31_final
2022-02-17 09:24:45	ga_ls7e_ard_3-2-1_104072_2022-02-16_final
2022-03-05 09:23:14	ga_ls7e_ard_3-2-1_104072_2022-03-04_final
2022-03-21 09:21:38	ga_ls7e_ard_3-2-1_104072_2022-03-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years