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
2017-01-06 10:20:21	ga_ls7e_ard_3-0-0_100074_2017-01-06_final
2017-01-22 10:20:10	ga_ls7e_ard_3-0-0_100074_2017-01-22_final
2017-02-23 10:20:08	ga_ls7e_ard_3-0-0_100074_2017-02-23_final
2017-03-27 10:20:20	ga_ls7e_ard_3-0-0_100074_2017-03-27_final
2017-04-12 10:20:25	ga_ls7e_ard_3-0-0_100074_2017-04-12_final
2017-04-28 10:20:32	ga_ls7e_ard_3-0-0_100074_2017-04-28_final
2017-05-14 10:20:35	ga_ls7e_ard_3-0-0_100074_2017-05-14_final
2017-05-30 10:20:39	ga_ls7e_ard_3-0-0_100074_2017-05-30_final
2017-06-15 10:20:43	ga_ls7e_ard_3-0-0_100074_2017-06-15_final
2017-07-01 10:20:45	ga_ls7e_ard_3-0-0_100074_2017-07-01_final
2017-07-17 10:20:46	ga_ls7e_ard_3-0-0_100074_2017-07-17_final
2017-08-02 10:20:44	ga_ls7e_ard_3-0-0_100074_2017-08-02_final
2017-08-18 10:20:42	ga_ls7e_ard_3-0-0_100074_2017-08-18_final
2017-09-03 10:20:43	ga_ls7e_ard_3-0-0_100074_2017-09-03_final
2017-10-05 10:20:42	ga_ls7e_ard_3-0-0_100074_2017-10-05_final
2017-10-21 10:20:44	ga_ls7e_ard_3-0-0_100074_2017-10-21_final
2017-11-06 10:20:44	ga_ls7e_ard_3-0-0_100074_2017-11-06_final
2017-11-22 10:20:40	ga_ls7e_ard_3-0-0_100074_2017-11-22_final
2017-12-08 10:20:32	ga_ls7e_ard_3-0-0_100074_2017-12-08_final
2017-12-24 10:20:22	ga_ls7e_ard_3-0-0_100074_2017-12-24_final
2018-01-09 10:20:09	ga_ls7e_ard_3-0-0_100074_2018-01-09_final
2018-01-25 10:19:55	ga_ls7e_ard_3-0-0_100074_2018-01-25_final
2018-02-26 10:19:30	ga_ls7e_ard_3-0-0_100074_2018-02-26_final
2018-03-14 10:19:19	ga_ls7e_ard_3-0-0_100074_2018-03-14_final
2018-04-15 10:18:51	ga_ls7e_ard_3-0-0_100074_2018-04-15_final
2018-05-01 10:18:34	ga_ls7e_ard_3-0-0_100074_2018-05-01_final
2018-05-17 10:18:18	ga_ls7e_ard_3-0-0_100074_2018-05-17_final
2018-06-18 10:17:45	ga_ls7e_ard_3-0-0_100074_2018-06-18_final
2018-07-04 10:17:26	ga_ls7e_ard_3-0-0_100074_2018-07-04_final
2018-07-20 10:17:09	ga_ls7e_ard_3-0-0_100074_2018-07-20_final
2018-08-05 10:16:52	ga_ls7e_ard_3-0-0_100074_2018-08-05_final
2018-08-21 10:16:33	ga_ls7e_ard_3-0-0_100074_2018-08-21_final
2018-09-06 10:16:13	ga_ls7e_ard_3-0-0_100074_2018-09-06_final
2018-09-22 10:15:52	ga_ls7e_ard_3-0-0_100074_2018-09-22_final
2018-10-08 10:15:29	ga_ls7e_ard_3-0-0_100074_2018-10-08_final
2018-10-24 10:15:06	ga_ls7e_ard_3-0-0_100074_2018-10-24_final
2018-11-09 10:14:45	ga_ls7e_ard_3-0-0_100074_2018-11-09_final
2018-11-25 10:14:22	ga_ls7e_ard_3-0-0_100074_2018-11-25_final
2018-12-11 10:13:57	ga_ls7e_ard_3-0-0_100074_2018-12-11_final
2019-01-12 10:12:59	ga_ls7e_ard_3-0-0_100074_2019-01-12_final
2019-01-28 10:12:28	ga_ls7e_ard_3-0-0_100074_2019-01-28_final
2019-02-13 10:12:00	ga_ls7e_ard_3-0-0_100074_2019-02-13_final
2019-03-01 10:11:30	ga_ls7e_ard_3-1-0_100074_2019-03-01_final
2019-03-17 10:10:59	ga_ls7e_ard_3-1-0_100074_2019-03-17_final
2019-04-18 10:09:53	ga_ls7e_ard_3-0-0_100074_2019-04-18_final
2019-05-04 10:09:17	ga_ls7e_ard_3-0-0_100074_2019-05-04_final
2019-06-05 10:08:05	ga_ls7e_ard_3-0-0_100074_2019-06-05_final
2019-07-07 10:06:54	ga_ls7e_ard_3-0-0_100074_2019-07-07_final
2019-07-23 10:06:16	ga_ls7e_ard_3-0-0_100074_2019-07-23_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-25 10:03:32	ga_ls7e_ard_3-1-0_100074_2019-09-25_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-27 10:02:12	ga_ls7e_ard_3-1-0_100074_2019-10-27_final
2019-11-12 10:01:29	ga_ls7e_ard_3-1-0_100074_2019-11-12_final
2019-11-28 10:00:43	ga_ls7e_ard_3-1-0_100074_2019-11-28_final
2019-12-14 09:59:56	ga_ls7e_ard_3-1-0_100074_2019-12-14_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-31 09:57:30	ga_ls7e_ard_3-1-0_100074_2020-01-31_final
2020-02-16 09:56:41	ga_ls7e_ard_3-1-0_100074_2020-02-16_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-19 09:54:57	ga_ls7e_ard_3-1-0_100074_2020-03-19_final
2020-04-20 09:53:08	ga_ls7e_ard_3-1-0_100074_2020-04-20_final
2020-05-06 09:52:10	ga_ls7e_ard_3-1-0_100074_2020-05-06_final
2020-06-07 09:50:15	ga_ls7e_ard_3-1-0_100074_2020-06-07_final
2020-06-23 09:49:19	ga_ls7e_ard_3-1-0_100074_2020-06-23_final
2020-07-09 09:48:21	ga_ls7e_ard_3-1-0_100074_2020-07-09_final
2020-08-10 09:46:22	ga_ls7e_ard_3-1-0_100074_2020-08-10_final
2020-08-26 09:45:20	ga_ls7e_ard_3-1-0_100074_2020-08-26_final
2020-09-11 09:44:17	ga_ls7e_ard_3-1-0_100074_2020-09-11_final
2020-09-27 09:43:14	ga_ls7e_ard_3-1-0_100074_2020-09-27_final
2020-10-13 09:42:13	ga_ls7e_ard_3-1-0_100074_2020-10-13_final
2020-10-29 09:41:10	ga_ls7e_ard_3-1-0_100074_2020-10-29_final
2020-11-14 09:40:04	ga_ls7e_ard_3-1-0_100074_2020-11-14_final
2020-11-30 09:38:56	ga_ls7e_ard_3-1-0_100074_2020-11-30_final
2021-02-18 09:33:07	ga_ls7e_ard_3-2-0_100074_2021-02-18_final
2021-03-06 09:31:53	ga_ls7e_ard_3-2-0_100074_2021-03-06_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-04-07 09:29:18	ga_ls7e_ard_3-2-0_100074_2021-04-06_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-05-09 09:26:37	ga_ls7e_ard_3-2-0_100074_2021-05-08_final
2021-05-25 09:25:15	ga_ls7e_ard_3-2-0_100074_2021-05-24_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-26 09:22:36	ga_ls7e_ard_3-2-0_100074_2021-06-25_final
2021-07-12 09:21:15	ga_ls7e_ard_3-2-0_100074_2021-07-11_final
2021-07-28 09:19:52	ga_ls7e_ard_3-2-0_100074_2021-07-27_final
2021-08-13 09:18:27	ga_ls7e_ard_3-2-0_100074_2021-08-12_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2021-09-14 09:15:40	ga_ls7e_ard_3-2-0_100074_2021-09-13_final
2021-09-30 09:14:14	ga_ls7e_ard_3-2-0_100074_2021-09-29_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-17 09:09:49	ga_ls7e_ard_3-2-1_100074_2021-11-16_final
2021-12-03 09:08:18	ga_ls7e_ard_3-2-1_100074_2021-12-02_final
2021-12-19 09:06:46	ga_ls7e_ard_3-2-1_100074_2021-12-18_final
2022-01-04 09:05:10	ga_ls7e_ard_3-2-1_100074_2022-01-03_final
2022-02-05 09:02:04	ga_ls7e_ard_3-2-1_100074_2022-02-04_final
2022-02-21 09:00:28	ga_ls7e_ard_3-2-1_100074_2022-02-20_final
2022-03-09 08:58:54	ga_ls7e_ard_3-2-1_100074_2022-03-08_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