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
2016-03-10 11:49:04	ga_ls7e_ard_3-0-0_114080_2016-03-10_final
2016-05-29 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-05-29_final
2016-08-17 11:49:38	ga_ls7e_ard_3-0-0_114080_2016-08-17_final
2016-10-20 11:49:45	ga_ls7e_ard_3-0-0_114080_2016-10-20_final
2017-03-29 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-03-29_final
2017-06-01 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-06-01_final
2017-09-05 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-09-05_final
2017-09-21 11:49:36	ga_ls7e_ard_3-0-0_114080_2017-09-21_final
2017-11-08 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-11-08_final
2018-01-11 11:49:03	ga_ls7e_ard_3-0-0_114080_2018-01-11_final
2018-01-27 11:48:48	ga_ls7e_ard_3-0-0_114080_2018-01-27_final
2018-02-12 11:48:34	ga_ls7e_ard_3-0-0_114080_2018-02-12_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2018-03-16 11:48:13	ga_ls7e_ard_3-0-0_114080_2018-03-16_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-04-17 11:47:44	ga_ls7e_ard_3-0-0_114080_2018-04-17_final
2018-05-03 11:47:26	ga_ls7e_ard_3-0-0_114080_2018-05-03_final
2018-05-19 11:47:11	ga_ls7e_ard_3-0-0_114080_2018-05-19_final
2018-06-20 11:46:38	ga_ls7e_ard_3-0-0_114080_2018-06-20_final
2018-07-06 11:46:19	ga_ls7e_ard_3-0-0_114080_2018-07-06_final
2018-07-22 11:46:02	ga_ls7e_ard_3-0-0_114080_2018-07-22_final
2018-08-23 11:45:26	ga_ls7e_ard_3-0-0_114080_2018-08-23_final
2018-09-08 11:45:06	ga_ls7e_ard_3-0-0_114080_2018-09-08_final
2018-09-24 11:44:44	ga_ls7e_ard_3-0-0_114080_2018-09-24_final
2018-10-10 11:44:21	ga_ls7e_ard_3-0-0_114080_2018-10-10_final
2018-10-26 11:43:59	ga_ls7e_ard_3-0-0_114080_2018-10-26_final
2018-11-11 11:43:38	ga_ls7e_ard_3-0-0_114080_2018-11-11_final
2018-11-27 11:43:14	ga_ls7e_ard_3-0-0_114080_2018-11-27_final
2018-12-13 11:42:48	ga_ls7e_ard_3-0-0_114080_2018-12-13_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2019-01-14 11:41:51	ga_ls7e_ard_3-0-0_114080_2019-01-14_final
2019-01-30 11:41:19	ga_ls7e_ard_3-0-0_114080_2019-01-30_final
2019-02-15 11:40:51	ga_ls7e_ard_3-0-0_114080_2019-02-15_final
2019-03-03 11:40:22	ga_ls7e_ard_3-1-0_114080_2019-03-03_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-04-04 11:39:18	ga_ls7e_ard_3-0-0_114080_2019-04-04_final
2019-04-20 11:38:43	ga_ls7e_ard_3-0-0_114080_2019-04-20_final
2019-05-06 11:38:07	ga_ls7e_ard_3-0-0_114080_2019-05-06_final
2019-05-22 11:37:29	ga_ls7e_ard_3-0-0_114080_2019-05-22_final
2019-06-07 11:36:56	ga_ls7e_ard_3-0-0_114080_2019-06-07_final
2019-07-09 11:35:44	ga_ls7e_ard_3-0-0_114080_2019-07-09_final
2019-07-25 11:35:06	ga_ls7e_ard_3-0-0_114080_2019-07-25_final
2019-08-10 11:34:27	ga_ls7e_ard_3-0-0_114080_2019-08-10_final
2019-08-26 11:33:46	ga_ls7e_ard_3-1-0_114080_2019-08-26_final
2019-09-11 11:33:05	ga_ls7e_ard_3-1-0_114080_2019-09-11_final
2019-09-27 11:32:22	ga_ls7e_ard_3-1-0_114080_2019-09-27_final
2019-10-13 11:31:43	ga_ls7e_ard_3-1-0_114080_2019-10-13_final
2019-10-29 11:31:02	ga_ls7e_ard_3-1-0_114080_2019-10-29_final
2019-11-14 11:30:18	ga_ls7e_ard_3-1-0_114080_2019-11-14_final
2019-11-30 11:29:32	ga_ls7e_ard_3-1-0_114080_2019-11-30_final
2019-12-16 11:28:45	ga_ls7e_ard_3-1-0_114080_2019-12-16_final
2020-01-01 11:27:55	ga_ls7e_ard_3-1-0_114080_2020-01-01_final
2020-01-17 11:27:07	ga_ls7e_ard_3-1-0_114080_2020-01-17_final
2020-02-02 11:26:19	ga_ls7e_ard_3-1-0_114080_2020-02-02_final
2020-02-18 11:25:29	ga_ls7e_ard_3-1-0_114080_2020-02-18_final
2020-03-05 11:24:38	ga_ls7e_ard_3-1-0_114080_2020-03-05_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-04-06 11:22:51	ga_ls7e_ard_3-1-0_114080_2020-04-06_final
2020-04-22 11:21:56	ga_ls7e_ard_3-1-0_114080_2020-04-22_final
2020-05-08 11:20:58	ga_ls7e_ard_3-1-0_114080_2020-05-08_final
2020-06-09 11:19:03	ga_ls7e_ard_3-1-0_114080_2020-06-09_final
2020-06-25 11:18:06	ga_ls7e_ard_3-1-0_114080_2020-06-25_final
2020-07-11 11:17:08	ga_ls7e_ard_3-1-0_114080_2020-07-11_final
2020-07-27 11:16:09	ga_ls7e_ard_3-1-0_114080_2020-07-27_final
2020-08-12 11:15:09	ga_ls7e_ard_3-1-0_114080_2020-08-12_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-09-13 11:13:04	ga_ls7e_ard_3-1-0_114080_2020-09-13_final
2020-09-29 11:12:01	ga_ls7e_ard_3-1-0_114080_2020-09-29_final
2020-10-15 11:11:00	ga_ls7e_ard_3-1-0_114080_2020-10-15_final
2020-10-31 11:09:57	ga_ls7e_ard_3-1-0_114080_2020-10-31_final
2020-11-16 11:08:51	ga_ls7e_ard_3-1-0_114080_2020-11-16_final
2020-12-02 11:07:42	ga_ls7e_ard_3-1-0_114080_2020-12-02_final
2020-12-18 11:06:30	ga_ls7e_ard_3-1-0_114080_2020-12-18_final
2021-01-03 11:05:22	ga_ls7e_ard_3-1-0_114080_2021-01-03_final
2021-01-19 11:04:14	ga_ls7e_ard_3-1-0_114080_2021-01-19_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-03-08 11:00:38	ga_ls7e_ard_3-2-0_114080_2021-03-08_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-04-09 10:58:03	ga_ls7e_ard_3-2-0_114080_2021-04-09_final
2021-04-25 10:56:42	ga_ls7e_ard_3-2-0_114080_2021-04-25_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-06-12 10:52:40	ga_ls7e_ard_3-2-0_114080_2021-06-12_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-10-02 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-10-18 10:41:33	ga_ls7e_ard_3-2-0_114080_2021-10-18_final
2021-11-03 10:40:05	ga_ls7e_ard_3-2-0_114080_2021-11-03_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2022-01-06 10:33:53	ga_ls7e_ard_3-2-1_114080_2022-01-06_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-23 10:29:11	ga_ls7e_ard_3-2-1_114080_2022-02-23_final
2022-03-11 10:27:37	ga_ls7e_ard_3-2-1_114080_2022-03-11_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