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
2015-02-22 09:56:10	ga_ls7e_ard_3-0-0_096084_2015-02-22_final
2015-03-10 09:56:15	ga_ls7e_ard_3-0-0_096084_2015-03-10_final
2015-03-26 09:56:25	ga_ls7e_ard_3-0-0_096084_2015-03-26_final
2015-04-11 09:56:34	ga_ls7e_ard_3-0-0_096084_2015-04-11_final
2015-05-13 09:56:48	ga_ls7e_ard_3-0-0_096084_2015-05-13_final
2015-05-29 09:56:51	ga_ls7e_ard_3-0-0_096084_2015-05-29_final
2015-06-14 09:56:59	ga_ls7e_ard_3-0-0_096084_2015-06-14_final
2015-06-30 09:57:01	ga_ls7e_ard_3-0-0_096084_2015-06-30_final
2015-07-16 09:57:07	ga_ls7e_ard_3-0-0_096084_2015-07-16_final
2015-08-17 09:57:13	ga_ls7e_ard_3-0-0_096084_2015-08-17_final
2015-09-02 09:57:12	ga_ls7e_ard_3-0-0_096084_2015-09-02_final
2015-11-05 09:57:53	ga_ls7e_ard_3-0-0_096084_2015-11-05_final
2015-12-07 09:58:24	ga_ls7e_ard_3-0-0_096084_2015-12-07_final
2015-12-23 09:58:39	ga_ls7e_ard_3-0-0_096084_2015-12-23_final
2016-01-08 09:58:54	ga_ls7e_ard_3-0-0_096084_2016-01-08_final
2016-01-24 09:59:06	ga_ls7e_ard_3-0-0_096084_2016-01-24_final
2016-02-09 09:59:14	ga_ls7e_ard_3-0-0_096084_2016-02-09_final
2016-02-25 09:59:15	ga_ls7e_ard_3-0-0_096084_2016-02-25_final
2016-03-12 09:59:26	ga_ls7e_ard_3-0-0_096084_2016-03-12_final
2016-03-28 09:59:32	ga_ls7e_ard_3-0-0_096084_2016-03-28_final
2016-04-13 09:59:37	ga_ls7e_ard_3-0-0_096084_2016-04-13_final
2016-07-02 09:59:56	ga_ls7e_ard_3-0-0_096084_2016-07-02_final
2016-07-18 09:59:57	ga_ls7e_ard_3-0-0_096084_2016-07-18_final
2016-08-03 09:59:59	ga_ls7e_ard_3-0-0_096084_2016-08-03_final
2016-08-19 10:00:00	ga_ls7e_ard_3-0-0_096084_2016-08-19_final
2016-09-04 10:00:04	ga_ls7e_ard_3-0-0_096084_2016-09-04_final
2016-09-20 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-09-20_final
2016-10-06 10:00:08	ga_ls7e_ard_3-0-0_096084_2016-10-06_final
2016-10-22 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-10-22_final
2016-11-07 09:59:59	ga_ls7e_ard_3-0-0_096084_2016-11-07_final
2016-11-23 09:59:54	ga_ls7e_ard_3-0-0_096084_2016-11-23_final
2016-12-09 09:59:51	ga_ls7e_ard_3-0-0_096084_2016-12-09_final
2016-12-25 09:59:44	ga_ls7e_ard_3-0-0_096084_2016-12-25_final
2017-01-10 09:59:34	ga_ls7e_ard_3-0-0_096084_2017-01-10_final
2017-01-26 09:59:24	ga_ls7e_ard_3-0-0_096084_2017-01-26_final
2017-02-11 09:59:17	ga_ls7e_ard_3-0-0_096084_2017-02-11_final
2017-02-27 09:59:26	ga_ls7e_ard_3-0-0_096084_2017-02-27_final
2017-03-15 09:59:33	ga_ls7e_ard_3-0-0_096084_2017-03-15_final
2017-03-31 09:59:37	ga_ls7e_ard_3-0-0_096084_2017-03-31_final
2017-04-16 09:59:43	ga_ls7e_ard_3-0-0_096084_2017-04-16_final
2017-05-02 09:59:49	ga_ls7e_ard_3-0-0_096084_2017-05-02_final
2017-06-19 10:00:00	ga_ls7e_ard_3-0-0_096084_2017-06-19_final
2017-07-05 10:00:02	ga_ls7e_ard_3-0-0_096084_2017-07-05_final
2017-08-06 10:00:00	ga_ls7e_ard_3-0-0_096084_2017-08-06_final
2017-08-22 09:59:59	ga_ls7e_ard_3-0-0_096084_2017-08-22_final
2017-09-07 09:59:59	ga_ls7e_ard_3-0-0_096084_2017-09-07_final
2017-09-23 09:59:57	ga_ls7e_ard_3-0-0_096084_2017-09-23_final
2017-10-09 09:59:59	ga_ls7e_ard_3-0-0_096084_2017-10-09_final
2017-10-25 10:00:01	ga_ls7e_ard_3-0-0_096084_2017-10-25_final
2017-11-10 09:59:59	ga_ls7e_ard_3-0-0_096084_2017-11-10_final
2017-11-26 09:59:54	ga_ls7e_ard_3-0-0_096084_2017-11-26_final
2017-12-12 09:59:46	ga_ls7e_ard_3-0-0_096084_2017-12-12_final
2018-01-13 09:59:22	ga_ls7e_ard_3-0-0_096084_2018-01-13_final
2018-01-29 09:59:07	ga_ls7e_ard_3-0-0_096084_2018-01-29_final
2018-02-14 09:58:54	ga_ls7e_ard_3-0-0_096084_2018-02-14_final
2018-03-02 09:58:44	ga_ls7e_ard_3-0-0_096084_2018-03-02_final
2018-03-18 09:58:32	ga_ls7e_ard_3-0-0_096084_2018-03-18_final
2018-04-03 09:58:19	ga_ls7e_ard_3-0-0_096084_2018-04-03_final
2018-05-05 09:57:45	ga_ls7e_ard_3-0-0_096084_2018-05-05_final
2018-06-06 09:57:15	ga_ls7e_ard_3-0-0_096084_2018-06-06_final
2018-06-22 09:56:57	ga_ls7e_ard_3-0-0_096084_2018-06-22_final
2018-07-08 09:56:38	ga_ls7e_ard_3-0-0_096084_2018-07-08_final
2018-07-24 09:56:21	ga_ls7e_ard_3-0-0_096084_2018-07-24_final
2018-08-09 09:56:03	ga_ls7e_ard_3-0-0_096084_2018-08-09_final
2018-09-10 09:55:24	ga_ls7e_ard_3-0-0_096084_2018-09-10_final
2018-09-26 09:55:02	ga_ls7e_ard_3-0-0_096084_2018-09-26_final
2018-10-28 09:54:18	ga_ls7e_ard_3-0-0_096084_2018-10-28_final
2018-11-13 09:53:56	ga_ls7e_ard_3-0-0_096084_2018-11-13_final
2018-11-29 09:53:32	ga_ls7e_ard_3-0-0_096084_2018-11-29_final
2018-12-15 09:53:06	ga_ls7e_ard_3-0-0_096084_2018-12-15_final
2019-01-16 09:52:08	ga_ls7e_ard_3-0-0_096084_2019-01-16_final
2019-02-01 09:51:37	ga_ls7e_ard_3-0-0_096084_2019-02-01_final
2019-03-05 09:50:39	ga_ls7e_ard_3-1-0_096084_2019-03-05_final
2019-05-24 09:47:46	ga_ls7e_ard_3-0-0_096084_2019-05-24_final
2019-06-25 09:46:37	ga_ls7e_ard_3-0-0_096084_2019-06-25_final
2019-07-27 09:45:22	ga_ls7e_ard_3-0-0_096084_2019-07-27_final
2019-08-28 09:44:03	ga_ls7e_ard_3-1-0_096084_2019-08-28_final
2021-01-21 09:14:27	ga_ls7e_ard_3-2-0_096084_2021-01-20_final
2021-03-10 09:10:50	ga_ls7e_ard_3-2-0_096084_2021-03-09_final
2021-03-26 09:09:33	ga_ls7e_ard_3-2-0_096084_2021-03-25_final
2021-04-11 09:08:14	ga_ls7e_ard_3-2-0_096084_2021-04-10_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-05-13 09:05:33	ga_ls7e_ard_3-2-0_096084_2021-05-12_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-16 09:00:11	ga_ls7e_ard_3-2-0_096084_2021-07-15_final
2021-08-01 08:58:48	ga_ls7e_ard_3-2-0_096084_2021-07-31_final
2021-09-02 08:56:00	ga_ls7e_ard_3-2-0_096084_2021-09-01_final
2021-09-18 08:54:35	ga_ls7e_ard_3-2-0_096084_2021-09-17_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-20 08:51:44	ga_ls7e_ard_3-2-0_096084_2021-10-19_final
2021-11-05 08:50:15	ga_ls7e_ard_3-2-0_096084_2021-11-04_final
2021-11-21 08:48:42	ga_ls7e_ard_3-2-1_096084_2021-11-20_final
2021-12-07 08:47:12	ga_ls7e_ard_3-2-1_096084_2021-12-06_final
2021-12-23 08:45:39	ga_ls7e_ard_3-2-1_096084_2021-12-22_final
2022-01-08 08:44:03	ga_ls7e_ard_3-2-1_096084_2022-01-07_final
2022-01-24 08:42:32	ga_ls7e_ard_3-2-1_096084_2022-01-23_final
2022-02-09 08:40:56	ga_ls7e_ard_3-2-1_096084_2022-02-08_final
2022-02-25 08:39:21	ga_ls7e_ard_3-2-1_096084_2022-02-24_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_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