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
2014-07-06 11:27:12	ga_ls7e_ard_3-0-0_111083_2014-07-06_final
2016-10-31 11:32:21	ga_ls7e_ard_3-0-0_111083_2016-10-31_final
2016-11-16 11:32:13	ga_ls7e_ard_3-0-0_111083_2016-11-16_final
2016-12-02 11:32:11	ga_ls7e_ard_3-0-0_111083_2016-12-02_final
2016-12-18 11:32:06	ga_ls7e_ard_3-0-0_111083_2016-12-18_final
2017-01-03 11:31:57	ga_ls7e_ard_3-0-0_111083_2017-01-03_final
2017-01-19 11:31:47	ga_ls7e_ard_3-0-0_111083_2017-01-19_final
2017-02-04 11:31:40	ga_ls7e_ard_3-0-0_111083_2017-02-04_final
2017-02-20 11:31:41	ga_ls7e_ard_3-0-0_111083_2017-02-20_final
2017-03-08 11:31:48	ga_ls7e_ard_3-0-0_111083_2017-03-08_final
2017-03-24 11:31:54	ga_ls7e_ard_3-0-0_111083_2017-03-24_final
2017-04-09 11:31:58	ga_ls7e_ard_3-0-0_111083_2017-04-09_final
2017-04-25 11:32:05	ga_ls7e_ard_3-0-0_111083_2017-04-25_final
2017-05-27 11:32:12	ga_ls7e_ard_3-0-0_111083_2017-05-27_final
2017-06-12 11:32:17	ga_ls7e_ard_3-0-0_111083_2017-06-12_final
2017-06-28 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-06-28_final
2017-07-14 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-07-14_final
2017-07-30 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-07-30_final
2017-08-15 11:32:17	ga_ls7e_ard_3-0-0_111083_2017-08-15_final
2017-09-16 11:32:15	ga_ls7e_ard_3-0-0_111083_2017-09-16_final
2017-10-02 11:32:16	ga_ls7e_ard_3-0-0_111083_2017-10-02_final
2017-10-18 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-10-18_final
2017-11-03 11:32:18	ga_ls7e_ard_3-0-0_111083_2017-11-03_final
2017-11-19 11:32:15	ga_ls7e_ard_3-0-0_111083_2017-11-19_final
2017-12-05 11:32:08	ga_ls7e_ard_3-0-0_111083_2017-12-05_final
2017-12-21 11:31:59	ga_ls7e_ard_3-0-0_111083_2017-12-21_final
2018-01-06 11:31:46	ga_ls7e_ard_3-0-0_111083_2018-01-06_final
2018-01-22 11:31:32	ga_ls7e_ard_3-0-0_111083_2018-01-22_final
2018-03-11 11:30:56	ga_ls7e_ard_3-0-0_111083_2018-03-11_final
2018-04-12 11:30:28	ga_ls7e_ard_3-0-0_111083_2018-04-12_final
2018-05-30 11:29:40	ga_ls7e_ard_3-0-0_111083_2018-05-30_final
2018-06-15 11:29:23	ga_ls7e_ard_3-0-0_111083_2018-06-15_final
2018-07-01 11:29:04	ga_ls7e_ard_3-0-0_111083_2018-07-01_final
2018-07-17 11:28:46	ga_ls7e_ard_3-0-0_111083_2018-07-17_final
2018-08-02 11:28:29	ga_ls7e_ard_3-0-0_111083_2018-08-02_final
2018-08-18 11:28:11	ga_ls7e_ard_3-0-0_111083_2018-08-18_final
2018-09-03 11:27:52	ga_ls7e_ard_3-0-0_111083_2018-09-03_final
2018-09-19 11:27:30	ga_ls7e_ard_3-0-0_111083_2018-09-19_final
2018-12-08 11:25:36	ga_ls7e_ard_3-0-0_111083_2018-12-08_final
2018-12-24 11:25:09	ga_ls7e_ard_3-0-0_111083_2018-12-24_final
2019-01-09 11:24:40	ga_ls7e_ard_3-0-0_111083_2019-01-09_final
2019-01-25 11:24:08	ga_ls7e_ard_3-0-0_111083_2019-01-25_final
2019-02-10 11:23:40	ga_ls7e_ard_3-0-0_111083_2019-02-10_final
2019-03-14 11:22:40	ga_ls7e_ard_3-1-0_111083_2019-03-14_final
2019-03-30 11:22:07	ga_ls7e_ard_3-0-0_111083_2019-03-30_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-05-17 11:20:21	ga_ls7e_ard_3-0-0_111083_2019-05-17_final
2019-06-02 11:19:46	ga_ls7e_ard_3-0-0_111083_2019-06-02_final
2019-06-18 11:19:11	ga_ls7e_ard_3-0-0_111083_2019-06-18_final
2019-07-20 11:17:57	ga_ls7e_ard_3-0-0_111083_2019-07-20_final
2019-08-05 11:17:19	ga_ls7e_ard_3-0-0_111083_2019-08-05_final
2019-08-21 11:16:39	ga_ls7e_ard_3-0-0_111083_2019-08-21_final
2019-09-06 11:15:57	ga_ls7e_ard_3-1-0_111083_2019-09-06_final
2019-09-22 11:15:15	ga_ls7e_ard_3-1-0_111083_2019-09-22_final
2019-10-08 11:14:35	ga_ls7e_ard_3-1-0_111083_2019-10-08_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-11-09 11:13:11	ga_ls7e_ard_3-1-0_111083_2019-11-09_final
2019-11-25 11:12:26	ga_ls7e_ard_3-1-0_111083_2019-11-25_final
2019-12-11 11:11:39	ga_ls7e_ard_3-1-0_111083_2019-12-11_final
2019-12-27 11:10:50	ga_ls7e_ard_3-1-0_111083_2019-12-27_final
2020-01-12 11:10:01	ga_ls7e_ard_3-1-0_111083_2020-01-12_final
2020-01-28 11:09:13	ga_ls7e_ard_3-1-0_111083_2020-01-28_final
2020-02-13 11:08:24	ga_ls7e_ard_3-1-0_111083_2020-02-13_final
2020-02-29 11:07:34	ga_ls7e_ard_3-1-0_111083_2020-02-29_final
2020-03-16 11:06:42	ga_ls7e_ard_3-1-0_111083_2020-03-16_final
2020-04-01 11:05:48	ga_ls7e_ard_3-1-0_111083_2020-04-01_final
2020-04-17 11:04:53	ga_ls7e_ard_3-1-0_111083_2020-04-17_final
2020-05-03 11:03:56	ga_ls7e_ard_3-1-0_111083_2020-05-03_final
2020-05-19 11:02:57	ga_ls7e_ard_3-1-0_111083_2020-05-19_final
2020-06-04 11:01:59	ga_ls7e_ard_3-1-0_111083_2020-06-04_final
2020-06-20 11:01:03	ga_ls7e_ard_3-1-0_111083_2020-06-20_final
2020-07-22 10:59:07	ga_ls7e_ard_3-1-0_111083_2020-07-22_final
2020-08-07 10:58:08	ga_ls7e_ard_3-1-0_111083_2020-08-07_final
2020-08-23 10:57:06	ga_ls7e_ard_3-1-0_111083_2020-08-23_final
2020-09-08 10:56:03	ga_ls7e_ard_3-1-0_111083_2020-09-08_final
2020-09-24 10:55:00	ga_ls7e_ard_3-1-0_111083_2020-09-24_final
2020-10-10 10:53:59	ga_ls7e_ard_3-1-0_111083_2020-10-10_final
2020-10-26 10:52:56	ga_ls7e_ard_3-1-0_111083_2020-10-26_final
2020-11-27 10:50:44	ga_ls7e_ard_3-1-0_111083_2020-11-27_final
2021-01-30 10:46:06	ga_ls7e_ard_3-2-0_111083_2021-01-30_final
2021-02-15 10:44:55	ga_ls7e_ard_3-2-0_111083_2021-02-15_final
2021-03-19 10:42:25	ga_ls7e_ard_3-2-0_111083_2021-03-19_final
2021-04-04 10:41:07	ga_ls7e_ard_3-2-0_111083_2021-04-04_final
2021-04-20 10:39:47	ga_ls7e_ard_3-2-0_111083_2021-04-20_final
2021-05-06 10:38:26	ga_ls7e_ard_3-2-0_111083_2021-05-06_final
2021-05-22 10:37:05	ga_ls7e_ard_3-2-0_111083_2021-05-22_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-08-26 10:28:54	ga_ls7e_ard_3-2-0_111083_2021-08-26_final
2021-09-11 10:27:30	ga_ls7e_ard_3-2-0_111083_2021-09-11_final
2021-10-13 10:24:40	ga_ls7e_ard_3-2-0_111083_2021-10-13_final
2021-11-14 10:21:41	ga_ls7e_ard_3-2-1_111083_2021-11-14_final
2021-11-30 10:20:09	ga_ls7e_ard_3-2-1_111083_2021-11-30_final
2021-12-16 10:18:38	ga_ls7e_ard_3-2-1_111083_2021-12-16_final
2022-01-01 10:17:03	ga_ls7e_ard_3-2-1_111083_2022-01-01_final
2022-01-17 10:15:31	ga_ls7e_ard_3-2-1_111083_2022-01-17_final
2022-02-02 10:13:57	ga_ls7e_ard_3-2-1_111083_2022-02-02_final
2022-02-18 10:12:19	ga_ls7e_ard_3-2-1_111083_2022-02-18_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_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