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
2015-10-07 10:26:42	ga_ls7e_ard_3-0-0_101080_2015-10-07_final
2015-11-24 10:27:31	ga_ls7e_ard_3-0-0_101080_2015-11-24_final
2016-01-27 10:28:26	ga_ls7e_ard_3-0-0_101080_2016-01-27_final
2016-05-02 10:29:03	ga_ls7e_ard_3-0-0_101080_2016-05-02_final
2016-06-03 10:29:11	ga_ls7e_ard_3-0-0_101080_2016-06-03_final
2016-09-07 10:29:23	ga_ls7e_ard_3-0-0_101080_2016-09-07_final
2016-09-23 10:29:25	ga_ls7e_ard_3-0-0_101080_2016-09-23_final
2017-02-14 10:28:37	ga_ls7e_ard_3-0-0_101080_2017-02-14_final
2017-03-02 10:28:46	ga_ls7e_ard_3-0-0_101080_2017-03-02_final
2017-03-18 10:28:52	ga_ls7e_ard_3-0-0_101080_2017-03-18_final
2017-04-03 10:28:56	ga_ls7e_ard_3-0-0_101080_2017-04-03_final
2017-05-21 10:29:11	ga_ls7e_ard_3-0-0_101080_2017-05-21_final
2017-08-09 10:29:18	ga_ls7e_ard_3-0-0_101080_2017-08-09_final
2017-08-25 10:29:17	ga_ls7e_ard_3-0-0_101080_2017-08-25_final
2017-10-12 10:29:18	ga_ls7e_ard_3-0-0_101080_2017-10-12_final
2017-12-15 10:29:03	ga_ls7e_ard_3-0-0_101080_2017-12-15_final
2018-01-16 10:28:38	ga_ls7e_ard_3-0-0_101080_2018-01-16_final
2018-02-17 10:28:11	ga_ls7e_ard_3-0-0_101080_2018-02-17_final
2018-03-05 10:28:00	ga_ls7e_ard_3-0-0_101080_2018-03-05_final
2018-03-21 10:27:48	ga_ls7e_ard_3-0-0_101080_2018-03-21_final
2018-04-06 10:27:34	ga_ls7e_ard_3-0-0_101080_2018-04-06_final
2018-04-22 10:27:18	ga_ls7e_ard_3-0-0_101080_2018-04-22_final
2018-05-08 10:27:00	ga_ls7e_ard_3-0-0_101080_2018-05-08_final
2018-05-24 10:26:46	ga_ls7e_ard_3-0-0_101080_2018-05-24_final
2018-06-25 10:26:12	ga_ls7e_ard_3-0-0_101080_2018-06-25_final
2018-07-11 10:25:52	ga_ls7e_ard_3-0-0_101080_2018-07-11_final
2018-07-27 10:25:36	ga_ls7e_ard_3-0-0_101080_2018-07-27_final
2018-08-12 10:25:18	ga_ls7e_ard_3-0-0_101080_2018-08-12_final
2018-08-28 10:24:59	ga_ls7e_ard_3-0-0_101080_2018-08-28_final
2018-09-13 10:24:39	ga_ls7e_ard_3-0-0_101080_2018-09-13_final
2018-09-29 10:24:16	ga_ls7e_ard_3-0-0_101080_2018-09-29_final
2018-10-15 10:23:52	ga_ls7e_ard_3-0-0_101080_2018-10-15_final
2018-10-31 10:23:32	ga_ls7e_ard_3-0-0_101080_2018-10-31_final
2018-11-16 10:23:10	ga_ls7e_ard_3-0-0_101080_2018-11-16_final
2018-12-02 10:22:46	ga_ls7e_ard_3-0-0_101080_2018-12-02_final
2018-12-18 10:22:19	ga_ls7e_ard_3-0-0_101080_2018-12-18_final
2019-01-03 10:21:51	ga_ls7e_ard_3-0-0_101080_2019-01-03_final
2019-01-19 10:21:20	ga_ls7e_ard_3-0-0_101080_2019-01-19_final
2019-02-04 10:20:50	ga_ls7e_ard_3-0-0_101080_2019-02-04_final
2019-02-20 10:20:22	ga_ls7e_ard_3-1-0_101080_2019-02-20_final
2019-03-08 10:19:51	ga_ls7e_ard_3-1-0_101080_2019-03-08_final
2019-03-24 10:19:20	ga_ls7e_ard_3-1-0_101080_2019-03-24_final
2019-04-09 10:18:47	ga_ls7e_ard_3-0-0_101080_2019-04-09_final
2019-04-25 10:18:12	ga_ls7e_ard_3-0-0_101080_2019-04-25_final
2019-05-11 10:17:35	ga_ls7e_ard_3-0-0_101080_2019-05-11_final
2019-05-27 10:16:58	ga_ls7e_ard_3-0-0_101080_2019-05-27_final
2019-06-28 10:15:49	ga_ls7e_ard_3-0-0_101080_2019-06-28_final
2019-07-14 10:15:12	ga_ls7e_ard_3-0-0_101080_2019-07-14_final
2019-07-30 10:14:33	ga_ls7e_ard_3-0-0_101080_2019-07-30_final
2019-08-15 10:13:54	ga_ls7e_ard_3-0-0_101080_2019-08-15_final
2019-08-31 10:13:13	ga_ls7e_ard_3-1-0_101080_2019-08-31_final
2019-09-16 10:12:31	ga_ls7e_ard_3-1-0_101080_2019-09-16_final
2019-10-02 10:11:50	ga_ls7e_ard_3-1-0_101080_2019-10-02_final
2019-10-18 10:11:10	ga_ls7e_ard_3-1-0_101080_2019-10-18_final
2019-11-03 10:10:28	ga_ls7e_ard_3-1-0_101080_2019-11-03_final
2019-11-19 10:09:44	ga_ls7e_ard_3-1-0_101080_2019-11-19_final
2019-12-05 10:08:57	ga_ls7e_ard_3-1-0_101080_2019-12-05_final
2019-12-21 10:08:09	ga_ls7e_ard_3-1-0_101080_2019-12-21_final
2020-01-06 10:07:19	ga_ls7e_ard_3-1-0_101080_2020-01-06_final
2020-01-22 10:06:31	ga_ls7e_ard_3-1-0_101080_2020-01-22_final
2020-02-07 10:05:43	ga_ls7e_ard_3-1-0_101080_2020-02-07_final
2020-02-23 10:04:53	ga_ls7e_ard_3-1-0_101080_2020-02-23_final
2020-03-10 10:04:01	ga_ls7e_ard_3-1-0_101080_2020-03-10_final
2020-03-26 10:03:08	ga_ls7e_ard_3-1-0_101080_2020-03-26_final
2020-04-11 10:02:14	ga_ls7e_ard_3-1-0_101080_2020-04-11_final
2020-04-27 10:01:17	ga_ls7e_ard_3-1-0_101080_2020-04-27_final
2020-05-13 10:00:19	ga_ls7e_ard_3-1-0_101080_2020-05-13_final
2020-05-29 09:59:20	ga_ls7e_ard_3-1-0_101080_2020-05-29_final
2020-06-14 09:58:25	ga_ls7e_ard_3-1-0_101080_2020-06-14_final
2020-06-30 09:57:28	ga_ls7e_ard_3-1-0_101080_2020-06-30_final
2020-07-16 09:56:30	ga_ls7e_ard_3-1-0_101080_2020-07-16_final
2020-08-01 09:55:30	ga_ls7e_ard_3-1-0_101080_2020-08-01_final
2020-09-02 09:53:27	ga_ls7e_ard_3-1-0_101080_2020-09-02_final
2020-10-20 09:50:20	ga_ls7e_ard_3-1-0_101080_2020-10-20_final
2020-11-05 09:49:16	ga_ls7e_ard_3-1-0_101080_2020-11-05_final
2020-11-21 09:48:09	ga_ls7e_ard_3-1-0_101080_2020-11-21_final
2020-12-07 09:47:00	ga_ls7e_ard_3-1-0_101080_2020-12-07_final
2021-02-09 09:42:22	ga_ls7e_ard_3-2-0_101080_2021-02-09_final
2021-02-25 09:41:09	ga_ls7e_ard_3-2-0_101080_2021-02-25_final
2021-03-13 09:39:54	ga_ls7e_ard_3-2-0_101080_2021-03-13_final
2021-03-29 09:38:37	ga_ls7e_ard_3-2-0_101080_2021-03-29_final
2021-04-14 09:37:17	ga_ls7e_ard_3-2-0_101080_2021-04-14_final
2021-04-30 09:35:56	ga_ls7e_ard_3-2-0_101080_2021-04-30_final
2021-05-16 09:34:36	ga_ls7e_ard_3-2-0_101080_2021-05-16_final
2021-06-01 09:33:13	ga_ls7e_ard_3-2-0_101080_2021-06-01_final
2021-06-17 09:31:55	ga_ls7e_ard_3-2-0_101080_2021-06-17_final
2021-07-03 09:30:36	ga_ls7e_ard_3-2-0_101080_2021-07-03_final
2021-07-19 09:29:14	ga_ls7e_ard_3-2-0_101080_2021-07-18_final
2021-08-04 09:27:50	ga_ls7e_ard_3-2-0_101080_2021-08-03_final
2021-08-20 09:26:25	ga_ls7e_ard_3-2-0_101080_2021-08-19_final
2021-09-05 09:25:02	ga_ls7e_ard_3-2-0_101080_2021-09-04_final
2021-09-21 09:23:37	ga_ls7e_ard_3-2-0_101080_2021-09-20_final
2021-10-07 09:22:12	ga_ls7e_ard_3-2-0_101080_2021-10-06_final
2021-10-23 09:20:46	ga_ls7e_ard_3-2-0_101080_2021-10-22_final
2021-12-10 09:16:13	ga_ls7e_ard_3-2-1_101080_2021-12-09_final
2021-12-26 09:14:39	ga_ls7e_ard_3-2-1_101080_2021-12-25_final
2022-01-11 09:13:05	ga_ls7e_ard_3-2-1_101080_2022-01-10_final
2022-01-27 09:11:33	ga_ls7e_ard_3-2-1_101080_2022-01-26_final
2022-02-12 09:09:55	ga_ls7e_ard_3-2-1_101080_2022-02-11_final
2022-02-28 09:08:22	ga_ls7e_ard_3-2-1_101080_2022-02-27_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