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
2014-12-05 10:34:38	ga_ls7e_ard_3-0-0_103073_2014-12-05_final
2015-01-22 10:34:48	ga_ls7e_ard_3-0-0_103073_2015-01-22_final
2015-02-07 10:34:56	ga_ls7e_ard_3-0-0_103073_2015-02-07_final
2015-02-23 10:35:03	ga_ls7e_ard_3-0-0_103073_2015-02-23_final
2015-03-27 10:35:18	ga_ls7e_ard_3-0-0_103073_2015-03-27_final
2015-04-12 10:35:26	ga_ls7e_ard_3-0-0_103073_2015-04-12_final
2015-06-15 10:35:51	ga_ls7e_ard_3-0-0_103073_2015-06-15_final
2015-07-01 10:35:53	ga_ls7e_ard_3-0-0_103073_2015-07-01_final
2015-09-03 10:36:05	ga_ls7e_ard_3-0-0_103073_2015-09-03_final
2015-09-19 10:36:11	ga_ls7e_ard_3-0-0_103073_2015-09-19_final
2015-11-06 10:36:46	ga_ls7e_ard_3-0-0_103073_2015-11-06_final
2016-01-09 10:37:47	ga_ls7e_ard_3-0-0_103073_2016-01-09_final
2016-02-26 10:38:09	ga_ls7e_ard_3-0-0_103073_2016-02-26_final
2016-04-14 10:38:30	ga_ls7e_ard_3-0-0_103073_2016-04-14_final
2016-04-30 10:38:36	ga_ls7e_ard_3-0-0_103073_2016-04-30_final
2016-05-16 10:38:39	ga_ls7e_ard_3-0-0_103073_2016-05-16_final
2016-06-17 10:38:48	ga_ls7e_ard_3-0-0_103073_2016-06-17_final
2016-07-19 10:38:49	ga_ls7e_ard_3-0-0_103073_2016-07-19_final
2016-09-21 10:38:58	ga_ls7e_ard_3-0-0_103073_2016-09-21_final
2016-10-07 10:39:00	ga_ls7e_ard_3-0-0_103073_2016-10-07_final
2017-01-27 10:38:16	ga_ls7e_ard_3-0-0_103073_2017-01-27_final
2017-02-12 10:38:10	ga_ls7e_ard_3-0-0_103073_2017-02-12_final
2017-02-28 10:38:19	ga_ls7e_ard_3-0-0_103073_2017-02-28_final
2017-05-03 10:38:42	ga_ls7e_ard_3-0-0_103073_2017-05-03_final
2017-05-19 10:38:44	ga_ls7e_ard_3-0-0_103073_2017-05-19_final
2017-06-04 10:38:49	ga_ls7e_ard_3-0-0_103073_2017-06-04_final
2017-07-22 10:38:54	ga_ls7e_ard_3-0-0_103073_2017-07-22_final
2017-08-23 10:38:51	ga_ls7e_ard_3-0-0_103073_2017-08-23_final
2017-09-24 10:38:50	ga_ls7e_ard_3-0-0_103073_2017-09-24_final
2017-10-10 10:38:52	ga_ls7e_ard_3-0-0_103073_2017-10-10_final
2017-11-11 10:38:51	ga_ls7e_ard_3-0-0_103073_2017-11-11_final
2017-11-27 10:38:46	ga_ls7e_ard_3-0-0_103073_2017-11-27_final
2017-12-29 10:38:27	ga_ls7e_ard_3-0-0_103073_2017-12-29_final
2018-03-03 10:37:36	ga_ls7e_ard_3-0-0_103073_2018-03-03_final
2018-04-04 10:37:10	ga_ls7e_ard_3-0-0_103073_2018-04-04_final
2018-04-20 10:36:54	ga_ls7e_ard_3-0-0_103073_2018-04-20_final
2018-05-06 10:36:36	ga_ls7e_ard_3-0-0_103073_2018-05-06_final
2018-06-07 10:36:06	ga_ls7e_ard_3-0-0_103073_2018-06-07_final
2018-07-25 10:35:12	ga_ls7e_ard_3-0-0_103073_2018-07-25_final
2018-08-10 10:34:55	ga_ls7e_ard_3-0-0_103073_2018-08-10_final
2018-08-26 10:34:36	ga_ls7e_ard_3-0-0_103073_2018-08-26_final
2018-09-11 10:34:15	ga_ls7e_ard_3-0-0_103073_2018-09-11_final
2018-09-27 10:33:53	ga_ls7e_ard_3-0-0_103073_2018-09-27_final
2018-10-29 10:33:09	ga_ls7e_ard_3-0-0_103073_2018-10-29_final
2018-11-14 10:32:47	ga_ls7e_ard_3-0-0_103073_2018-11-14_final
2018-12-16 10:31:57	ga_ls7e_ard_3-0-0_103073_2018-12-16_final
2019-01-17 10:30:58	ga_ls7e_ard_3-0-0_103073_2019-01-17_final
2019-02-02 10:30:28	ga_ls7e_ard_3-0-0_103073_2019-02-02_final
2019-02-18 10:29:59	ga_ls7e_ard_3-1-0_103073_2019-02-18_final
2019-04-07 10:28:25	ga_ls7e_ard_3-0-0_103073_2019-04-07_final
2019-04-23 10:27:50	ga_ls7e_ard_3-0-0_103073_2019-04-23_final
2019-05-25 10:26:36	ga_ls7e_ard_3-0-0_103073_2019-05-25_final
2019-06-10 10:26:03	ga_ls7e_ard_3-0-0_103073_2019-06-10_final
2019-06-26 10:25:27	ga_ls7e_ard_3-0-0_103073_2019-06-26_final
2019-07-12 10:24:50	ga_ls7e_ard_3-0-0_103073_2019-07-12_final
2019-07-28 10:24:12	ga_ls7e_ard_3-0-0_103073_2019-07-28_final
2019-08-13 10:23:33	ga_ls7e_ard_3-0-0_103073_2019-08-13_final
2019-08-29 10:22:52	ga_ls7e_ard_3-1-0_103073_2019-08-29_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-11-01 10:20:07	ga_ls7e_ard_3-1-0_103073_2019-11-01_final
2019-11-17 10:19:23	ga_ls7e_ard_3-1-0_103073_2019-11-17_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2020-01-04 10:16:59	ga_ls7e_ard_3-1-0_103073_2020-01-04_final
2020-01-20 10:16:11	ga_ls7e_ard_3-1-0_103073_2020-01-20_final
2020-02-05 10:15:23	ga_ls7e_ard_3-1-0_103073_2020-02-05_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-03-08 10:13:42	ga_ls7e_ard_3-1-0_103073_2020-03-08_final
2020-03-24 10:12:49	ga_ls7e_ard_3-1-0_103073_2020-03-24_final
2020-06-28 10:07:09	ga_ls7e_ard_3-1-0_103073_2020-06-28_final
2020-07-14 10:06:11	ga_ls7e_ard_3-1-0_103073_2020-07-14_final
2020-07-30 10:05:12	ga_ls7e_ard_3-1-0_103073_2020-07-30_final
2020-08-15 10:04:11	ga_ls7e_ard_3-1-0_103073_2020-08-15_final
2020-08-31 10:03:09	ga_ls7e_ard_3-1-0_103073_2020-08-31_final
2020-09-16 10:02:06	ga_ls7e_ard_3-1-0_103073_2020-09-16_final
2020-10-02 10:01:04	ga_ls7e_ard_3-1-0_103073_2020-10-02_final
2020-11-03 09:58:58	ga_ls7e_ard_3-1-0_103073_2020-11-03_final
2020-12-05 09:56:43	ga_ls7e_ard_3-1-0_103073_2020-12-05_final
2021-02-23 09:50:52	ga_ls7e_ard_3-2-0_103073_2021-02-23_final
2021-03-11 09:49:38	ga_ls7e_ard_3-2-0_103073_2021-03-11_final
2021-03-27 09:48:21	ga_ls7e_ard_3-2-0_103073_2021-03-27_final
2021-04-12 09:47:01	ga_ls7e_ard_3-2-0_103073_2021-04-12_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-05-14 09:44:20	ga_ls7e_ard_3-2-0_103073_2021-05-14_final
2021-05-30 09:42:58	ga_ls7e_ard_3-2-0_103073_2021-05-30_final
2021-06-15 09:41:39	ga_ls7e_ard_3-2-0_103073_2021-06-15_final
2021-07-01 09:40:20	ga_ls7e_ard_3-2-0_103073_2021-07-01_final
2021-07-17 09:38:58	ga_ls7e_ard_3-2-0_103073_2021-07-17_final
2021-08-02 09:37:35	ga_ls7e_ard_3-2-0_103073_2021-08-02_final
2021-08-18 09:36:09	ga_ls7e_ard_3-2-0_103073_2021-08-18_final
2021-09-03 09:34:47	ga_ls7e_ard_3-2-0_103073_2021-09-03_final
2021-09-19 09:33:22	ga_ls7e_ard_3-2-0_103073_2021-09-19_final
2021-10-05 09:31:56	ga_ls7e_ard_3-2-0_103073_2021-10-05_final
2021-10-21 09:30:31	ga_ls7e_ard_3-2-0_103073_2021-10-21_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-11-22 09:27:28	ga_ls7e_ard_3-2-1_103073_2021-11-21_final
2021-12-24 09:24:25	ga_ls7e_ard_3-2-1_103073_2021-12-23_final
2022-01-09 09:22:50	ga_ls7e_ard_3-2-1_103073_2022-01-08_final
2022-02-10 09:19:42	ga_ls7e_ard_3-2-1_103073_2022-02-09_final
2022-02-26 09:18:07	ga_ls7e_ard_3-2-1_103073_2022-02-25_final
2022-03-14 09:16:32	ga_ls7e_ard_3-2-1_103073_2022-03-13_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