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
2017-05-23 11:53:19	ga_ls7e_ard_3-0-0_115074_2017-05-23_final
2017-06-08 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-06-08_final
2017-06-24 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-06-24_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2017-07-26 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-07-26_final
2017-08-11 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-11_final
2017-08-27 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-27_final
2017-09-12 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-12_final
2017-09-28 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-28_final
2017-10-14 11:53:26	ga_ls7e_ard_3-0-0_115074_2017-10-14_final
2017-10-30 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-10-30_final
2017-11-15 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-11-15_final
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2017-12-17 11:53:09	ga_ls7e_ard_3-0-0_115074_2017-12-17_final
2018-01-02 11:52:58	ga_ls7e_ard_3-0-0_115074_2018-01-02_final
2018-01-18 11:52:44	ga_ls7e_ard_3-0-0_115074_2018-01-18_final
2018-02-19 11:52:17	ga_ls7e_ard_3-0-0_115074_2018-02-19_final
2018-03-07 11:52:07	ga_ls7e_ard_3-0-0_115074_2018-03-07_final
2018-03-23 11:51:54	ga_ls7e_ard_3-0-0_115074_2018-03-23_final
2018-04-08 11:51:40	ga_ls7e_ard_3-0-0_115074_2018-04-08_final
2018-04-24 11:51:24	ga_ls7e_ard_3-0-0_115074_2018-04-24_final
2018-05-10 11:51:06	ga_ls7e_ard_3-0-0_115074_2018-05-10_final
2018-05-26 11:50:52	ga_ls7e_ard_3-0-0_115074_2018-05-26_final
2018-06-11 11:50:35	ga_ls7e_ard_3-0-0_115074_2018-06-11_final
2018-06-27 11:50:17	ga_ls7e_ard_3-0-0_115074_2018-06-27_final
2018-07-13 11:49:58	ga_ls7e_ard_3-0-0_115074_2018-07-13_final
2018-07-29 11:49:42	ga_ls7e_ard_3-0-0_115074_2018-07-29_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-09-15 11:48:44	ga_ls7e_ard_3-0-0_115074_2018-09-15_final
2018-10-01 11:48:21	ga_ls7e_ard_3-0-0_115074_2018-10-01_final
2018-10-17 11:47:57	ga_ls7e_ard_3-0-0_115074_2018-10-17_final
2018-11-02 11:47:37	ga_ls7e_ard_3-0-0_115074_2018-11-02_final
2018-11-18 11:47:15	ga_ls7e_ard_3-0-0_115074_2018-11-18_final
2018-12-04 11:46:50	ga_ls7e_ard_3-0-0_115074_2018-12-04_final
2019-01-05 11:45:55	ga_ls7e_ard_3-0-0_115074_2019-01-05_final
2019-01-21 11:45:24	ga_ls7e_ard_3-0-0_115074_2019-01-21_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-04-27 11:42:15	ga_ls7e_ard_3-0-0_115074_2019-04-27_final
2019-05-13 11:41:38	ga_ls7e_ard_3-0-0_115074_2019-05-13_final
2019-05-29 11:41:02	ga_ls7e_ard_3-0-0_115074_2019-05-29_final
2019-06-14 11:40:28	ga_ls7e_ard_3-0-0_115074_2019-06-14_final
2019-06-30 11:39:52	ga_ls7e_ard_3-0-0_115074_2019-06-30_final
2019-07-16 11:39:15	ga_ls7e_ard_3-0-0_115074_2019-07-16_final
2019-08-01 11:38:36	ga_ls7e_ard_3-0-0_115074_2019-08-01_final
2019-08-17 11:37:56	ga_ls7e_ard_3-0-0_115074_2019-08-17_final
2019-09-02 11:37:16	ga_ls7e_ard_3-1-0_115074_2019-09-02_final
2019-09-18 11:36:33	ga_ls7e_ard_3-1-0_115074_2019-09-18_final
2019-10-04 11:35:53	ga_ls7e_ard_3-1-0_115074_2019-10-04_final
2019-10-20 11:35:12	ga_ls7e_ard_3-1-0_115074_2019-10-20_final
2019-11-05 11:34:30	ga_ls7e_ard_3-1-0_115074_2019-11-05_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2020-01-08 11:31:20	ga_ls7e_ard_3-1-0_115074_2020-01-08_final
2020-01-24 11:30:33	ga_ls7e_ard_3-1-0_115074_2020-01-24_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-02-25 11:28:54	ga_ls7e_ard_3-1-0_115074_2020-02-25_final
2020-03-28 11:27:09	ga_ls7e_ard_3-1-0_115074_2020-03-28_final
2020-04-13 11:26:14	ga_ls7e_ard_3-1-0_115074_2020-04-13_final
2020-04-29 11:25:18	ga_ls7e_ard_3-1-0_115074_2020-04-29_final
2020-05-15 11:24:19	ga_ls7e_ard_3-1-0_115074_2020-05-15_final
2020-05-31 11:23:21	ga_ls7e_ard_3-1-0_115074_2020-05-31_final
2020-06-16 11:22:25	ga_ls7e_ard_3-1-0_115074_2020-06-16_final
2020-08-03 11:19:30	ga_ls7e_ard_3-1-0_115074_2020-08-03_final
2020-08-19 11:18:29	ga_ls7e_ard_3-1-0_115074_2020-08-19_final
2020-09-04 11:17:27	ga_ls7e_ard_3-1-0_115074_2020-09-04_final
2020-09-20 11:16:23	ga_ls7e_ard_3-1-0_115074_2020-09-20_final
2020-10-06 11:15:22	ga_ls7e_ard_3-1-0_115074_2020-10-06_final
2020-10-22 11:14:20	ga_ls7e_ard_3-1-0_115074_2020-10-22_final
2020-11-07 11:13:15	ga_ls7e_ard_3-1-0_115074_2020-11-07_final
2020-11-23 11:12:08	ga_ls7e_ard_3-1-0_115074_2020-11-23_final
2020-12-09 11:10:58	ga_ls7e_ard_3-1-0_115074_2020-12-09_final
2020-12-25 11:09:46	ga_ls7e_ard_3-1-0_115074_2020-12-25_final
2021-01-10 11:08:40	ga_ls7e_ard_3-1-0_115074_2021-01-10_final
2021-01-26 11:07:31	ga_ls7e_ard_3-2-0_115074_2021-01-26_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-27 11:05:07	ga_ls7e_ard_3-2-0_115074_2021-02-27_final
2021-03-15 11:03:52	ga_ls7e_ard_3-2-0_115074_2021-03-15_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-04-16 11:01:15	ga_ls7e_ard_3-2-0_115074_2021-04-16_final
2021-05-02 10:59:54	ga_ls7e_ard_3-2-0_115074_2021-05-02_final
2021-05-18 10:58:33	ga_ls7e_ard_3-2-0_115074_2021-05-18_final
2021-06-19 10:55:53	ga_ls7e_ard_3-2-0_115074_2021-06-19_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-22 10:50:22	ga_ls7e_ard_3-2-0_115074_2021-08-22_final
2021-09-07 10:48:59	ga_ls7e_ard_3-2-0_115074_2021-09-07_final
2021-10-09 10:46:09	ga_ls7e_ard_3-2-0_115074_2021-10-09_final
2021-10-25 10:44:42	ga_ls7e_ard_3-2-0_115074_2021-10-25_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2022-01-13 10:37:01	ga_ls7e_ard_3-2-1_115074_2022-01-13_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-02-14 10:33:50	ga_ls7e_ard_3-2-1_115074_2022-02-14_final
2022-03-02 10:32:18	ga_ls7e_ard_3-2-1_115074_2022-03-02_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_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