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
2017-05-04 09:43:28	ga_ls7e_ard_3-0-0_094074_2017-05-04_final
2017-05-20 09:43:31	ga_ls7e_ard_3-0-0_094074_2017-05-20_final
2017-06-21 09:43:39	ga_ls7e_ard_3-0-0_094074_2017-06-21_final
2017-07-07 09:43:41	ga_ls7e_ard_3-0-0_094074_2017-07-07_final
2017-07-23 09:43:40	ga_ls7e_ard_3-0-0_094074_2017-07-23_final
2017-08-08 09:43:38	ga_ls7e_ard_3-0-0_094074_2017-08-08_final
2017-08-24 09:43:38	ga_ls7e_ard_3-0-0_094074_2017-08-24_final
2017-09-09 09:43:37	ga_ls7e_ard_3-0-0_094074_2017-09-09_final
2017-09-25 09:43:36	ga_ls7e_ard_3-0-0_094074_2017-09-25_final
2017-10-11 09:43:39	ga_ls7e_ard_3-0-0_094074_2017-10-11_final
2017-10-27 09:43:40	ga_ls7e_ard_3-0-0_094074_2017-10-27_final
2017-12-14 09:43:24	ga_ls7e_ard_3-0-0_094074_2017-12-14_final
2017-12-30 09:43:13	ga_ls7e_ard_3-0-0_094074_2017-12-30_final
2018-01-15 09:42:59	ga_ls7e_ard_3-0-0_094074_2018-01-15_final
2018-01-31 09:42:44	ga_ls7e_ard_3-0-0_094074_2018-01-31_final
2018-02-16 09:42:32	ga_ls7e_ard_3-0-0_094074_2018-02-16_final
2018-03-04 09:42:22	ga_ls7e_ard_3-0-0_094074_2018-03-04_final
2018-03-20 09:42:10	ga_ls7e_ard_3-0-0_094074_2018-03-20_final
2018-04-05 09:41:56	ga_ls7e_ard_3-0-0_094074_2018-04-05_final
2018-04-21 09:41:40	ga_ls7e_ard_3-0-0_094074_2018-04-21_final
2018-05-07 09:41:22	ga_ls7e_ard_3-0-0_094074_2018-05-07_final
2018-05-23 09:41:07	ga_ls7e_ard_3-0-0_094074_2018-05-23_final
2018-06-08 09:40:51	ga_ls7e_ard_3-0-0_094074_2018-06-08_final
2018-06-24 09:40:34	ga_ls7e_ard_3-0-0_094074_2018-06-24_final
2018-07-10 09:40:14	ga_ls7e_ard_3-0-0_094074_2018-07-10_final
2018-07-26 09:39:58	ga_ls7e_ard_3-0-0_094074_2018-07-26_final
2018-08-11 09:39:40	ga_ls7e_ard_3-0-0_094074_2018-08-11_final
2018-08-27 09:39:21	ga_ls7e_ard_3-0-0_094074_2018-08-27_final
2018-09-12 09:39:01	ga_ls7e_ard_3-0-0_094074_2018-09-12_final
2018-09-28 09:38:39	ga_ls7e_ard_3-0-0_094074_2018-09-28_final
2018-10-30 09:37:54	ga_ls7e_ard_3-0-0_094074_2018-10-30_final
2018-11-15 09:37:32	ga_ls7e_ard_3-0-0_094074_2018-11-15_final
2018-12-01 09:37:08	ga_ls7e_ard_3-0-0_094074_2018-12-01_final
2019-01-02 09:36:13	ga_ls7e_ard_3-0-0_094074_2019-01-02_final
2019-01-18 09:35:43	ga_ls7e_ard_3-0-0_094074_2019-01-18_final
2019-02-19 09:34:44	ga_ls7e_ard_3-1-0_094074_2019-02-19_final
2019-04-08 09:33:09	ga_ls7e_ard_3-0-0_094074_2019-04-08_final
2019-05-10 09:31:58	ga_ls7e_ard_3-0-0_094074_2019-05-10_final
2019-05-26 09:31:21	ga_ls7e_ard_3-0-0_094074_2019-05-26_final
2019-06-11 09:30:47	ga_ls7e_ard_3-0-0_094074_2019-06-11_final
2019-07-13 09:29:35	ga_ls7e_ard_3-0-0_094074_2019-07-12_final
2019-07-29 09:28:57	ga_ls7e_ard_3-0-0_094074_2019-07-28_final
2019-08-14 09:28:17	ga_ls7e_ard_3-0-0_094074_2019-08-13_final
2019-08-30 09:27:36	ga_ls7e_ard_3-1-0_094074_2019-08-29_final
2019-09-15 09:26:54	ga_ls7e_ard_3-1-0_094074_2019-09-14_final
2019-10-01 09:26:13	ga_ls7e_ard_3-1-0_094074_2019-09-30_final
2019-10-17 09:25:33	ga_ls7e_ard_3-1-0_094074_2019-10-16_final
2019-11-02 09:24:51	ga_ls7e_ard_3-1-0_094074_2019-11-01_final
2019-11-18 09:24:07	ga_ls7e_ard_3-1-0_094074_2019-11-17_final
2019-12-04 09:23:21	ga_ls7e_ard_3-1-0_094074_2019-12-03_final
2019-12-20 09:22:33	ga_ls7e_ard_3-1-0_094074_2019-12-19_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-21 09:20:55	ga_ls7e_ard_3-1-0_094074_2020-01-20_final
2020-02-06 09:20:07	ga_ls7e_ard_3-1-0_094074_2020-02-05_final
2020-03-09 09:18:25	ga_ls7e_ard_3-1-0_094074_2020-03-08_final
2020-03-25 09:17:33	ga_ls7e_ard_3-1-0_094074_2020-03-24_final
2020-04-10 09:16:38	ga_ls7e_ard_3-1-0_094074_2020-04-09_final
2020-04-26 09:15:42	ga_ls7e_ard_3-1-0_094074_2020-04-25_final
2020-05-12 09:14:44	ga_ls7e_ard_3-1-0_094074_2020-05-11_final
2020-05-28 09:13:44	ga_ls7e_ard_3-1-0_094074_2020-05-27_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-06-29 09:11:52	ga_ls7e_ard_3-1-0_094074_2020-06-28_final
2020-07-15 09:10:54	ga_ls7e_ard_3-1-0_094074_2020-07-14_final
2020-07-31 09:09:55	ga_ls7e_ard_3-1-0_094074_2020-07-30_final
2020-08-16 09:08:54	ga_ls7e_ard_3-1-0_094074_2020-08-15_final
2020-09-01 09:07:52	ga_ls7e_ard_3-1-0_094074_2020-08-31_final
2020-09-17 09:06:48	ga_ls7e_ard_3-1-0_094074_2020-09-16_final
2020-10-03 09:05:47	ga_ls7e_ard_3-1-0_094074_2020-10-02_final
2020-10-19 09:04:45	ga_ls7e_ard_3-1-0_094074_2020-10-18_final
2020-11-04 09:03:41	ga_ls7e_ard_3-1-0_094074_2020-11-03_final
2020-11-20 09:02:34	ga_ls7e_ard_3-1-0_094074_2020-11-19_final
2020-12-06 09:01:25	ga_ls7e_ard_3-1-0_094074_2020-12-05_final
2020-12-22 09:00:12	ga_ls7e_ard_3-1-0_094074_2020-12-21_final
2021-01-23 08:57:57	ga_ls7e_ard_3-2-0_094074_2021-01-22_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-24 08:55:35	ga_ls7e_ard_3-2-0_094074_2021-02-23_final
2021-03-12 08:54:20	ga_ls7e_ard_3-2-0_094074_2021-03-11_final
2021-03-28 08:53:03	ga_ls7e_ard_3-2-0_094074_2021-03-27_final
2021-04-13 08:51:43	ga_ls7e_ard_3-2-0_094074_2021-04-12_final
2021-04-29 08:50:22	ga_ls7e_ard_3-2-0_094074_2021-04-28_final
2021-05-15 08:49:02	ga_ls7e_ard_3-2-0_094074_2021-05-14_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-16 08:46:21	ga_ls7e_ard_3-2-0_094074_2021-06-15_final
2021-07-02 08:45:02	ga_ls7e_ard_3-2-0_094074_2021-07-01_final
2021-07-18 08:43:40	ga_ls7e_ard_3-2-0_094074_2021-07-17_final
2021-08-03 08:42:16	ga_ls7e_ard_3-2-0_094074_2021-08-02_final
2021-08-19 08:40:51	ga_ls7e_ard_3-2-0_094074_2021-08-18_final
2021-09-04 08:39:28	ga_ls7e_ard_3-2-0_094074_2021-09-03_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-10-06 08:36:38	ga_ls7e_ard_3-2-0_094074_2021-10-05_final
2021-10-22 08:35:12	ga_ls7e_ard_3-2-0_094074_2021-10-21_final
2021-11-07 08:33:43	ga_ls7e_ard_3-2-0_094074_2021-11-06_final
2021-11-23 08:32:09	ga_ls7e_ard_3-2-1_094074_2021-11-22_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-25 08:29:06	ga_ls7e_ard_3-2-1_094074_2021-12-24_final
2022-01-10 08:27:31	ga_ls7e_ard_3-2-1_094074_2022-01-09_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-02-11 08:24:22	ga_ls7e_ard_3-2-1_094074_2022-02-10_final
2022-02-27 08:22:49	ga_ls7e_ard_3-2-1_094074_2022-02-26_final
2022-03-15 08:21:13	ga_ls7e_ard_3-2-1_094074_2022-03-14_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