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
2015-06-07 09:50:46	ga_ls7e_ard_3-0-0_095084_2015-06-07_final
2015-06-23 09:50:48	ga_ls7e_ard_3-0-0_095084_2015-06-23_final
2015-07-09 09:50:54	ga_ls7e_ard_3-0-0_095084_2015-07-09_final
2015-07-25 09:50:57	ga_ls7e_ard_3-0-0_095084_2015-07-25_final
2015-08-10 09:51:01	ga_ls7e_ard_3-0-0_095084_2015-08-10_final
2015-08-26 09:51:02	ga_ls7e_ard_3-0-0_095084_2015-08-26_final
2015-09-11 09:51:06	ga_ls7e_ard_3-0-0_095084_2015-09-11_final
2015-09-27 09:51:10	ga_ls7e_ard_3-0-0_095084_2015-09-27_final
2015-10-13 09:51:21	ga_ls7e_ard_3-0-0_095084_2015-10-13_final
2015-11-14 09:51:53	ga_ls7e_ard_3-0-0_095084_2015-11-14_final
2015-11-30 09:52:06	ga_ls7e_ard_3-0-0_095084_2015-11-30_final
2015-12-16 09:52:23	ga_ls7e_ard_3-0-0_095084_2015-12-16_final
2016-01-17 09:52:51	ga_ls7e_ard_3-0-0_095084_2016-01-17_final
2016-03-05 09:53:12	ga_ls7e_ard_3-0-0_095084_2016-03-05_final
2016-03-21 09:53:19	ga_ls7e_ard_3-0-0_095084_2016-03-21_final
2016-04-22 09:53:31	ga_ls7e_ard_3-0-0_095084_2016-04-22_final
2016-07-11 09:53:45	ga_ls7e_ard_3-0-0_095084_2016-07-11_final
2016-07-27 09:53:48	ga_ls7e_ard_3-0-0_095084_2016-07-27_final
2016-08-12 09:53:49	ga_ls7e_ard_3-0-0_095084_2016-08-12_final
2016-08-28 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-08-28_final
2016-10-15 09:53:56	ga_ls7e_ard_3-0-0_095084_2016-10-15_final
2016-10-31 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-10-31_final
2016-11-16 09:53:43	ga_ls7e_ard_3-0-0_095084_2016-11-16_final
2016-12-02 09:53:42	ga_ls7e_ard_3-0-0_095084_2016-12-02_final
2017-01-03 09:53:28	ga_ls7e_ard_3-0-0_095084_2017-01-03_final
2017-01-19 09:53:17	ga_ls7e_ard_3-0-0_095084_2017-01-19_final
2017-02-20 09:53:12	ga_ls7e_ard_3-0-0_095084_2017-02-20_final
2017-03-08 09:53:19	ga_ls7e_ard_3-0-0_095084_2017-03-08_final
2017-03-24 09:53:24	ga_ls7e_ard_3-0-0_095084_2017-03-24_final
2017-05-27 09:53:43	ga_ls7e_ard_3-0-0_095084_2017-05-27_final
2017-06-12 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-06-12_final
2017-06-28 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-06-28_final
2017-07-30 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-07-30_final
2017-08-31 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-08-31_final
2017-09-16 09:53:46	ga_ls7e_ard_3-0-0_095084_2017-09-16_final
2017-10-02 09:53:47	ga_ls7e_ard_3-0-0_095084_2017-10-02_final
2017-10-18 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-10-18_final
2017-12-21 09:53:30	ga_ls7e_ard_3-0-0_095084_2017-12-21_final
2018-01-06 09:53:17	ga_ls7e_ard_3-0-0_095084_2018-01-06_final
2018-02-07 09:52:47	ga_ls7e_ard_3-0-0_095084_2018-02-07_final
2018-02-23 09:52:38	ga_ls7e_ard_3-0-0_095084_2018-02-23_final
2018-03-11 09:52:27	ga_ls7e_ard_3-0-0_095084_2018-03-11_final
2018-03-27 09:52:14	ga_ls7e_ard_3-0-0_095084_2018-03-27_final
2018-04-12 09:51:59	ga_ls7e_ard_3-0-0_095084_2018-04-12_final
2018-04-28 09:51:42	ga_ls7e_ard_3-0-0_095084_2018-04-28_final
2018-05-14 09:51:26	ga_ls7e_ard_3-0-0_095084_2018-05-14_final
2018-05-30 09:51:11	ga_ls7e_ard_3-0-0_095084_2018-05-30_final
2018-06-15 09:50:54	ga_ls7e_ard_3-0-0_095084_2018-06-15_final
2018-07-17 09:50:17	ga_ls7e_ard_3-0-0_095084_2018-07-17_final
2018-09-03 09:49:23	ga_ls7e_ard_3-0-0_095084_2018-09-03_final
2018-09-19 09:49:01	ga_ls7e_ard_3-0-0_095084_2018-09-19_final
2018-10-05 09:48:39	ga_ls7e_ard_3-0-0_095084_2018-10-05_final
2018-10-21 09:48:15	ga_ls7e_ard_3-0-0_095084_2018-10-21_final
2018-12-08 09:47:07	ga_ls7e_ard_3-0-0_095084_2018-12-08_final
2018-12-24 09:46:40	ga_ls7e_ard_3-0-0_095084_2018-12-24_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-01-25 09:45:40	ga_ls7e_ard_3-0-0_095084_2019-01-25_final
2019-02-10 09:45:11	ga_ls7e_ard_3-0-0_095084_2019-02-10_final
2019-03-14 09:44:11	ga_ls7e_ard_3-1-0_095084_2019-03-14_final
2019-04-15 09:43:05	ga_ls7e_ard_3-0-0_095084_2019-04-15_final
2019-05-01 09:42:29	ga_ls7e_ard_3-0-0_095084_2019-05-01_final
2019-05-17 09:41:52	ga_ls7e_ard_3-0-0_095084_2019-05-17_final
2019-06-18 09:40:42	ga_ls7e_ard_3-0-0_095084_2019-06-18_final
2019-07-04 09:40:06	ga_ls7e_ard_3-0-0_095084_2019-07-04_final
2019-07-20 09:39:28	ga_ls7e_ard_3-0-0_095084_2019-07-20_final
2019-08-05 09:38:50	ga_ls7e_ard_3-0-0_095084_2019-08-05_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-10-24 09:35:25	ga_ls7e_ard_3-1-0_095084_2019-10-24_final
2019-11-09 09:34:42	ga_ls7e_ard_3-1-0_095084_2019-11-09_final
2019-11-25 09:33:57	ga_ls7e_ard_3-1-0_095084_2019-11-25_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2020-12-29 09:09:53	ga_ls7e_ard_3-1-0_095084_2020-12-28_final
2021-01-14 09:08:46	ga_ls7e_ard_3-1-0_095084_2021-01-13_final
2021-01-30 09:07:37	ga_ls7e_ard_3-2-0_095084_2021-01-29_final
2021-02-15 09:06:26	ga_ls7e_ard_3-2-0_095084_2021-02-14_final
2021-03-03 09:05:12	ga_ls7e_ard_3-2-0_095084_2021-03-02_final
2021-03-19 09:03:56	ga_ls7e_ard_3-2-0_095084_2021-03-18_final
2021-04-04 09:02:38	ga_ls7e_ard_3-2-0_095084_2021-04-03_final
2021-04-20 09:01:18	ga_ls7e_ard_3-2-0_095084_2021-04-19_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-22 08:58:36	ga_ls7e_ard_3-2-0_095084_2021-05-21_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-07-09 08:54:36	ga_ls7e_ard_3-2-0_095084_2021-07-08_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-08-10 08:51:49	ga_ls7e_ard_3-2-0_095084_2021-08-09_final
2021-08-26 08:50:25	ga_ls7e_ard_3-2-0_095084_2021-08-25_final
2021-09-11 08:49:01	ga_ls7e_ard_3-2-0_095084_2021-09-10_final
2021-09-27 08:47:35	ga_ls7e_ard_3-2-0_095084_2021-09-26_final
2021-10-13 08:46:11	ga_ls7e_ard_3-2-0_095084_2021-10-12_final
2021-10-29 08:44:44	ga_ls7e_ard_3-2-0_095084_2021-10-28_final
2021-11-30 08:41:40	ga_ls7e_ard_3-2-1_095084_2021-11-29_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2022-01-01 08:38:34	ga_ls7e_ard_3-2-1_095084_2021-12-31_final
2022-01-17 08:37:02	ga_ls7e_ard_3-2-1_095084_2022-01-16_final
2022-02-02 08:35:28	ga_ls7e_ard_3-2-1_095084_2022-02-01_final
2022-02-18 08:33:50	ga_ls7e_ard_3-2-1_095084_2022-02-17_final
2022-03-06 08:32:18	ga_ls7e_ard_3-2-1_095084_2022-03-05_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