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
2015-10-26 09:18:17	ga_ls7e_ard_3-0-0_090078_2015-10-25_final
2015-11-27 09:18:46	ga_ls7e_ard_3-0-0_090078_2015-11-26_final
2016-01-14 09:19:31	ga_ls7e_ard_3-0-0_090078_2016-01-13_final
2016-02-15 09:19:46	ga_ls7e_ard_3-0-0_090078_2016-02-14_final
2016-03-18 09:20:00	ga_ls7e_ard_3-0-0_090078_2016-03-17_final
2016-04-03 09:20:04	ga_ls7e_ard_3-0-0_090078_2016-04-02_final
2016-06-06 09:20:25	ga_ls7e_ard_3-0-0_090078_2016-06-05_final
2016-07-08 09:20:27	ga_ls7e_ard_3-0-0_090078_2016-07-07_final
2016-08-09 09:20:31	ga_ls7e_ard_3-0-0_090078_2016-08-08_final
2016-09-26 09:20:38	ga_ls7e_ard_3-0-0_090078_2016-09-25_final
2016-10-28 09:20:35	ga_ls7e_ard_3-0-0_090078_2016-10-27_final
2016-11-13 09:20:27	ga_ls7e_ard_3-0-0_090078_2016-11-12_final
2016-11-29 09:20:25	ga_ls7e_ard_3-0-0_090078_2016-11-28_final
2016-12-31 09:20:13	ga_ls7e_ard_3-0-0_090078_2016-12-30_final
2017-02-01 09:19:54	ga_ls7e_ard_3-0-0_090078_2017-01-31_final
2017-02-17 09:19:52	ga_ls7e_ard_3-0-0_090078_2017-02-16_final
2017-03-05 09:20:00	ga_ls7e_ard_3-0-0_090078_2017-03-04_final
2017-08-12 09:20:30	ga_ls7e_ard_3-0-0_090078_2017-08-11_final
2017-08-28 09:20:31	ga_ls7e_ard_3-0-0_090078_2017-08-27_final
2017-09-13 09:20:29	ga_ls7e_ard_3-0-0_090078_2017-09-12_final
2017-12-18 09:20:14	ga_ls7e_ard_3-0-0_090078_2017-12-17_final
2018-01-19 09:19:48	ga_ls7e_ard_3-0-0_090078_2018-01-18_final
2018-03-08 09:19:11	ga_ls7e_ard_3-0-0_090078_2018-03-07_final
2018-03-24 09:18:59	ga_ls7e_ard_3-0-0_090078_2018-03-23_final
2018-04-25 09:18:28	ga_ls7e_ard_3-0-0_090078_2018-04-24_final
2018-05-11 09:18:11	ga_ls7e_ard_3-0-0_090078_2018-05-10_final
2018-05-27 09:17:56	ga_ls7e_ard_3-0-0_090078_2018-05-26_final
2018-06-28 09:17:21	ga_ls7e_ard_3-0-0_090078_2018-06-27_final
2018-07-14 09:17:02	ga_ls7e_ard_3-0-0_090078_2018-07-13_final
2018-07-30 09:16:46	ga_ls7e_ard_3-0-0_090078_2018-07-29_final
2018-08-15 09:16:28	ga_ls7e_ard_3-0-0_090078_2018-08-14_final
2018-08-31 09:16:09	ga_ls7e_ard_3-0-0_090078_2018-08-30_final
2018-09-16 09:15:48	ga_ls7e_ard_3-0-0_090078_2018-09-15_final
2018-10-02 09:15:25	ga_ls7e_ard_3-0-0_090078_2018-10-01_final
2018-10-18 09:15:01	ga_ls7e_ard_3-0-0_090078_2018-10-17_final
2018-11-03 09:14:41	ga_ls7e_ard_3-0-0_090078_2018-11-02_final
2018-11-19 09:14:19	ga_ls7e_ard_3-0-0_090078_2018-11-18_final
2018-12-05 09:13:54	ga_ls7e_ard_3-0-0_090078_2018-12-04_final
2018-12-21 09:13:27	ga_ls7e_ard_3-0-0_090078_2018-12-20_final
2019-01-06 09:12:58	ga_ls7e_ard_3-0-0_090078_2019-01-05_final
2019-02-07 09:11:58	ga_ls7e_ard_3-0-0_090078_2019-02-06_final
2019-02-23 09:11:29	ga_ls7e_ard_3-1-0_090078_2019-02-22_final
2019-03-11 09:10:59	ga_ls7e_ard_3-1-0_090078_2019-03-10_final
2019-04-12 09:09:53	ga_ls7e_ard_3-0-0_090078_2019-04-11_final
2019-04-28 09:09:18	ga_ls7e_ard_3-0-0_090078_2019-04-27_final
2019-05-14 09:08:41	ga_ls7e_ard_3-0-0_090078_2019-05-13_final
2019-05-30 09:08:05	ga_ls7e_ard_3-0-0_090078_2019-05-29_final
2019-06-15 09:07:31	ga_ls7e_ard_3-0-0_090078_2019-06-14_final
2019-07-01 09:06:55	ga_ls7e_ard_3-0-0_090078_2019-06-30_final
2019-07-17 09:06:18	ga_ls7e_ard_3-0-0_090078_2019-07-16_final
2019-08-02 09:05:39	ga_ls7e_ard_3-0-0_090078_2019-08-01_final
2019-08-18 09:05:00	ga_ls7e_ard_3-0-0_090078_2019-08-17_final
2019-09-03 09:04:19	ga_ls7e_ard_3-1-0_090078_2019-09-02_final
2019-09-19 09:03:36	ga_ls7e_ard_3-1-0_090078_2019-09-18_final
2019-10-05 09:02:56	ga_ls7e_ard_3-1-0_090078_2019-10-04_final
2019-10-21 09:02:15	ga_ls7e_ard_3-1-0_090078_2019-10-20_final
2019-11-06 09:01:33	ga_ls7e_ard_3-1-0_090078_2019-11-05_final
2019-11-22 09:00:48	ga_ls7e_ard_3-1-0_090078_2019-11-21_final
2019-12-08 09:00:02	ga_ls7e_ard_3-1-0_090078_2019-12-07_final
2019-12-24 08:59:13	ga_ls7e_ard_3-1-0_090078_2019-12-23_final
2020-01-09 08:58:23	ga_ls7e_ard_3-1-0_090078_2020-01-08_final
2020-02-10 08:56:47	ga_ls7e_ard_3-1-0_090078_2020-02-09_final
2020-02-26 08:55:57	ga_ls7e_ard_3-1-0_090078_2020-02-25_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-29 08:54:12	ga_ls7e_ard_3-1-0_090078_2020-03-28_final
2020-04-14 08:53:17	ga_ls7e_ard_3-1-0_090078_2020-04-13_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2020-05-16 08:51:21	ga_ls7e_ard_3-1-0_090078_2020-05-15_final
2020-06-01 08:50:23	ga_ls7e_ard_3-1-0_090078_2020-05-31_final
2020-06-17 08:49:28	ga_ls7e_ard_3-1-0_090078_2020-06-16_final
2020-07-03 08:48:30	ga_ls7e_ard_3-1-0_090078_2020-07-02_final
2020-07-19 08:47:32	ga_ls7e_ard_3-1-0_090078_2020-07-18_final
2020-08-04 08:46:32	ga_ls7e_ard_3-1-0_090078_2020-08-03_final
2020-08-20 08:45:31	ga_ls7e_ard_3-1-0_090078_2020-08-19_final
2020-09-05 08:44:29	ga_ls7e_ard_3-1-0_090078_2020-09-04_final
2020-09-21 08:43:25	ga_ls7e_ard_3-1-0_090078_2020-09-20_final
2020-10-07 08:42:24	ga_ls7e_ard_3-1-0_090078_2020-10-06_final
2020-10-23 08:41:22	ga_ls7e_ard_3-1-0_090078_2020-10-22_final
2020-11-24 08:39:10	ga_ls7e_ard_3-1-0_090078_2020-11-23_final
2020-12-10 08:37:59	ga_ls7e_ard_3-1-0_090078_2020-12-09_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-04-01 08:29:36	ga_ls7e_ard_3-2-0_090078_2021-03-31_final
2021-04-17 08:28:16	ga_ls7e_ard_3-2-0_090078_2021-04-16_final
2021-05-03 08:26:55	ga_ls7e_ard_3-2-0_090078_2021-05-02_final
2021-05-19 08:25:34	ga_ls7e_ard_3-2-0_090078_2021-05-18_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-20 08:22:54	ga_ls7e_ard_3-2-0_090078_2021-06-19_final
2021-07-22 08:20:12	ga_ls7e_ard_3-2-0_090078_2021-07-21_final
2021-08-07 08:18:47	ga_ls7e_ard_3-2-0_090078_2021-08-06_final
2021-08-23 08:17:23	ga_ls7e_ard_3-2-0_090078_2021-08-22_final
2021-09-08 08:16:00	ga_ls7e_ard_3-2-0_090078_2021-09-07_final
2021-09-24 08:14:34	ga_ls7e_ard_3-2-0_090078_2021-09-23_final
2021-10-10 08:13:09	ga_ls7e_ard_3-2-0_090078_2021-10-09_final
2021-10-26 08:11:43	ga_ls7e_ard_3-2-0_090078_2021-10-25_final
2021-12-29 08:05:35	ga_ls7e_ard_3-2-1_090078_2021-12-28_final
2022-01-14 08:04:01	ga_ls7e_ard_3-2-1_090078_2022-01-13_final
2022-01-30 08:02:28	ga_ls7e_ard_3-2-1_090078_2022-01-29_final
2022-02-15 08:00:50	ga_ls7e_ard_3-2-1_090078_2022-02-14_final
2022-03-03 07:59:18	ga_ls7e_ard_3-2-1_090078_2022-03-02_final
2022-03-19 07:57:42	ga_ls7e_ard_3-2-1_090078_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years