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:

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First 100 results (query limit)

Time (local)	Label
2016-06-21 10:18:28	ga_ls7e_ard_3-0-0_099084_2016-06-21_final
2016-07-23 10:18:30	ga_ls7e_ard_3-0-0_099084_2016-07-23_final
2017-03-04 10:18:01	ga_ls7e_ard_3-0-0_099084_2017-03-04_final
2017-03-20 10:18:07	ga_ls7e_ard_3-0-0_099084_2017-03-20_final
2017-04-05 10:18:10	ga_ls7e_ard_3-0-0_099084_2017-04-05_final
2017-04-21 10:18:18	ga_ls7e_ard_3-0-0_099084_2017-04-21_final
2017-05-23 10:18:25	ga_ls7e_ard_3-0-0_099084_2017-05-23_final
2017-06-08 10:18:30	ga_ls7e_ard_3-0-0_099084_2017-06-08_final
2017-06-24 10:18:33	ga_ls7e_ard_3-0-0_099084_2017-06-24_final
2017-07-10 10:18:34	ga_ls7e_ard_3-0-0_099084_2017-07-10_final
2017-07-26 10:18:34	ga_ls7e_ard_3-0-0_099084_2017-07-26_final
2017-08-11 10:18:31	ga_ls7e_ard_3-0-0_099084_2017-08-11_final
2017-08-27 10:18:32	ga_ls7e_ard_3-0-0_099084_2017-08-27_final
2017-09-12 10:18:30	ga_ls7e_ard_3-0-0_099084_2017-09-12_final
2017-10-14 10:18:32	ga_ls7e_ard_3-0-0_099084_2017-10-14_final
2017-10-30 10:18:33	ga_ls7e_ard_3-0-0_099084_2017-10-30_final
2018-01-02 10:18:04	ga_ls7e_ard_3-0-0_099084_2018-01-02_final
2018-01-18 10:17:50	ga_ls7e_ard_3-0-0_099084_2018-01-18_final
2018-02-03 10:17:34	ga_ls7e_ard_3-0-0_099084_2018-02-03_final
2018-02-19 10:17:24	ga_ls7e_ard_3-0-0_099084_2018-02-19_final
2018-03-07 10:17:13	ga_ls7e_ard_3-0-0_099084_2018-03-07_final
2018-03-23 10:17:01	ga_ls7e_ard_3-0-0_099084_2018-03-23_final
2018-04-08 10:16:46	ga_ls7e_ard_3-0-0_099084_2018-04-08_final
2018-04-24 10:16:30	ga_ls7e_ard_3-0-0_099084_2018-04-24_final
2018-05-26 10:15:58	ga_ls7e_ard_3-0-0_099084_2018-05-26_final
2018-06-11 10:15:42	ga_ls7e_ard_3-0-0_099084_2018-06-11_final
2018-06-27 10:15:24	ga_ls7e_ard_3-0-0_099084_2018-06-27_final
2018-07-13 10:15:04	ga_ls7e_ard_3-0-0_099084_2018-07-13_final
2018-07-29 10:14:48	ga_ls7e_ard_3-0-0_099084_2018-07-29_final
2018-08-14 10:14:30	ga_ls7e_ard_3-0-0_099084_2018-08-14_final
2018-09-15 10:13:50	ga_ls7e_ard_3-0-0_099084_2018-09-15_final
2018-10-17 10:13:04	ga_ls7e_ard_3-0-0_099084_2018-10-17_final
2018-11-02 10:12:43	ga_ls7e_ard_3-0-0_099084_2018-11-02_final
2018-11-18 10:12:21	ga_ls7e_ard_3-0-0_099084_2018-11-18_final
2018-12-04 10:11:57	ga_ls7e_ard_3-0-0_099084_2018-12-04_final
2019-01-05 10:11:01	ga_ls7e_ard_3-0-0_099084_2019-01-05_final
2019-01-21 10:10:31	ga_ls7e_ard_3-0-0_099084_2019-01-21_final
2019-02-06 10:10:01	ga_ls7e_ard_3-0-0_099084_2019-02-06_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-03-10 10:09:02	ga_ls7e_ard_3-1-0_099084_2019-03-10_final
2019-03-26 10:08:30	ga_ls7e_ard_3-1-0_099084_2019-03-26_final
2019-04-11 10:07:56	ga_ls7e_ard_3-0-0_099084_2019-04-11_final
2019-04-27 10:07:21	ga_ls7e_ard_3-0-0_099084_2019-04-27_final
2019-05-13 10:06:44	ga_ls7e_ard_3-0-0_099084_2019-05-13_final
2019-05-29 10:06:08	ga_ls7e_ard_3-0-0_099084_2019-05-29_final
2019-06-14 10:05:34	ga_ls7e_ard_3-0-0_099084_2019-06-14_final
2019-06-30 10:04:58	ga_ls7e_ard_3-0-0_099084_2019-06-30_final
2019-07-16 10:04:21	ga_ls7e_ard_3-0-0_099084_2019-07-16_final
2019-08-01 10:03:43	ga_ls7e_ard_3-0-0_099084_2019-08-01_final
2019-08-17 10:03:03	ga_ls7e_ard_3-0-0_099084_2019-08-17_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-20 10:00:19	ga_ls7e_ard_3-1-0_099084_2019-10-20_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-21 09:58:52	ga_ls7e_ard_3-1-0_099084_2019-11-21_final
2019-12-07 09:58:05	ga_ls7e_ard_3-1-0_099084_2019-12-07_final
2019-12-23 09:57:17	ga_ls7e_ard_3-1-0_099084_2019-12-23_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-24 09:55:40	ga_ls7e_ard_3-1-0_099084_2020-01-24_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-03-12 09:53:09	ga_ls7e_ard_3-1-0_099084_2020-03-12_final
2020-03-28 09:52:16	ga_ls7e_ard_3-1-0_099084_2020-03-28_final
2020-04-13 09:51:21	ga_ls7e_ard_3-1-0_099084_2020-04-13_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2020-05-15 09:49:26	ga_ls7e_ard_3-1-0_099084_2020-05-15_final
2020-05-31 09:48:27	ga_ls7e_ard_3-1-0_099084_2020-05-31_final
2020-06-16 09:47:32	ga_ls7e_ard_3-1-0_099084_2020-06-16_final
2020-07-02 09:46:35	ga_ls7e_ard_3-1-0_099084_2020-07-02_final
2020-07-18 09:45:37	ga_ls7e_ard_3-1-0_099084_2020-07-18_final
2020-08-03 09:44:37	ga_ls7e_ard_3-1-0_099084_2020-08-03_final
2020-08-19 09:43:36	ga_ls7e_ard_3-1-0_099084_2020-08-19_final
2020-09-04 09:42:34	ga_ls7e_ard_3-1-0_099084_2020-09-04_final
2020-09-20 09:41:30	ga_ls7e_ard_3-1-0_099084_2020-09-20_final
2020-11-23 09:37:15	ga_ls7e_ard_3-1-0_099084_2020-11-23_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-03-15 09:28:59	ga_ls7e_ard_3-2-0_099084_2021-03-14_final
2021-03-31 09:27:41	ga_ls7e_ard_3-2-0_099084_2021-03-30_final
2021-04-16 09:26:22	ga_ls7e_ard_3-2-0_099084_2021-04-15_final
2021-05-02 09:25:00	ga_ls7e_ard_3-2-0_099084_2021-05-01_final
2021-05-18 09:23:40	ga_ls7e_ard_3-2-0_099084_2021-05-17_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-07-21 09:18:18	ga_ls7e_ard_3-2-0_099084_2021-07-20_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-08-22 09:15:29	ga_ls7e_ard_3-2-0_099084_2021-08-21_final
2021-09-07 09:14:06	ga_ls7e_ard_3-2-0_099084_2021-09-06_final
2021-09-23 09:12:40	ga_ls7e_ard_3-2-0_099084_2021-09-22_final
2021-10-09 09:11:15	ga_ls7e_ard_3-2-0_099084_2021-10-08_final
2021-10-25 09:09:49	ga_ls7e_ard_3-2-0_099084_2021-10-24_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-12-12 09:05:15	ga_ls7e_ard_3-2-1_099084_2021-12-11_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-29 09:00:35	ga_ls7e_ard_3-2-1_099084_2022-01-28_final
2022-02-14 08:58:57	ga_ls7e_ard_3-2-1_099084_2022-02-13_final
2022-03-02 08:57:24	ga_ls7e_ard_3-2-1_099084_2022-03-01_final
2022-03-18 08:55:48	ga_ls7e_ard_3-2-1_099084_2022-03-17_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