Search ga_ls7e_ard_3 across October 2021

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
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-01 08:20:31	ga_ls7e_ard_3-2-0_091079_2021-09-30_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-01 08:21:19	ga_ls7e_ard_3-2-0_091081_2021-09-30_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-01 08:22:07	ga_ls7e_ard_3-2-0_091083_2021-09-30_final
2021-10-01 08:22:31	ga_ls7e_ard_3-2-0_091084_2021-09-30_final
2021-10-01 08:22:55	ga_ls7e_ard_3-2-0_091085_2021-09-30_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-01 09:55:49	ga_ls7e_ard_3-2-0_107070_2021-10-01_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_2021-10-01_final
2021-10-01 09:56:36	ga_ls7e_ard_3-2-0_107072_2021-10-01_final
2021-10-01 09:57:00	ga_ls7e_ard_3-2-0_107073_2021-10-01_final
2021-10-01 09:57:24	ga_ls7e_ard_3-2-0_107074_2021-10-01_final
2021-10-01 09:57:48	ga_ls7e_ard_3-2-0_107075_2021-10-01_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-01 09:58:36	ga_ls7e_ard_3-2-0_107077_2021-10-01_final
2021-10-01 09:59:00	ga_ls7e_ard_3-2-0_107078_2021-10-01_final
2021-10-01 09:59:24	ga_ls7e_ard_3-2-0_107079_2021-10-01_final
2021-10-01 09:59:48	ga_ls7e_ard_3-2-0_107080_2021-10-01_final
2021-10-01 10:00:36	ga_ls7e_ard_3-2-0_107082_2021-10-01_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-02 08:59:42	ga_ls7e_ard_3-2-0_098069_2021-10-01_final
2021-10-02 09:00:06	ga_ls7e_ard_3-2-0_098070_2021-10-01_final
2021-10-02 09:00:30	ga_ls7e_ard_3-2-0_098071_2021-10-01_final
2021-10-02 09:00:54	ga_ls7e_ard_3-2-0_098072_2021-10-01_final
2021-10-02 09:01:18	ga_ls7e_ard_3-2-0_098073_2021-10-01_final
2021-10-02 09:01:42	ga_ls7e_ard_3-2-0_098074_2021-10-01_final
2021-10-02 09:02:06	ga_ls7e_ard_3-2-0_098075_2021-10-01_final
2021-10-02 09:02:30	ga_ls7e_ard_3-2-0_098076_2021-10-01_final
2021-10-02 09:02:54	ga_ls7e_ard_3-2-0_098077_2021-10-01_final
2021-10-02 09:03:18	ga_ls7e_ard_3-2-0_098078_2021-10-01_final
2021-10-02 09:03:42	ga_ls7e_ard_3-2-0_098079_2021-10-01_final
2021-10-02 09:04:06	ga_ls7e_ard_3-2-0_098080_2021-10-01_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-02 09:04:53	ga_ls7e_ard_3-2-0_098082_2021-10-01_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-02 09:05:41	ga_ls7e_ard_3-2-0_098084_2021-10-01_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-02 10:40:59	ga_ls7e_ard_3-2-0_114075_2021-10-02_final
2021-10-02 10:41:23	ga_ls7e_ard_3-2-0_114076_2021-10-02_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-02 10:42:10	ga_ls7e_ard_3-2-0_114078_2021-10-02_final
2021-10-02 10:42:34	ga_ls7e_ard_3-2-0_114079_2021-10-02_final
2021-10-02 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-03 09:45:16	ga_ls7e_ard_3-2-0_105075_2021-10-03_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:46:22	ga_ls7e_ard_3-2-0_096067_2021-10-03_final
2021-10-04 08:47:34	ga_ls7e_ard_3-2-0_096070_2021-10-03_final
2021-10-04 08:47:58	ga_ls7e_ard_3-2-0_096071_2021-10-03_final
2021-10-04 08:48:22	ga_ls7e_ard_3-2-0_096072_2021-10-03_final
2021-10-04 08:48:46	ga_ls7e_ard_3-2-0_096073_2021-10-03_final
2021-10-04 08:49:10	ga_ls7e_ard_3-2-0_096074_2021-10-03_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-04 08:49:58	ga_ls7e_ard_3-2-0_096076_2021-10-03_final
2021-10-04 08:50:22	ga_ls7e_ard_3-2-0_096077_2021-10-03_final
2021-10-04 08:50:46	ga_ls7e_ard_3-2-0_096078_2021-10-03_final
2021-10-04 08:51:10	ga_ls7e_ard_3-2-0_096079_2021-10-03_final
2021-10-04 08:51:34	ga_ls7e_ard_3-2-0_096080_2021-10-03_final
2021-10-04 08:51:58	ga_ls7e_ard_3-2-0_096081_2021-10-03_final
2021-10-04 08:52:22	ga_ls7e_ard_3-2-0_096082_2021-10-03_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-04 08:53:57	ga_ls7e_ard_3-2-0_096086_2021-10-03_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-04 10:28:27	ga_ls7e_ard_3-2-0_112075_2021-10-04_final
2021-10-04 10:28:51	ga_ls7e_ard_3-2-0_112076_2021-10-04_final
2021-10-04 10:29:14	ga_ls7e_ard_3-2-0_112077_2021-10-04_final
2021-10-04 10:29:38	ga_ls7e_ard_3-2-0_112078_2021-10-04_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-04 10:30:26	ga_ls7e_ard_3-2-0_112080_2021-10-04_final
2021-10-04 10:30:50	ga_ls7e_ard_3-2-0_112081_2021-10-04_final
2021-10-04 10:31:14	ga_ls7e_ard_3-2-0_112082_2021-10-04_final
2021-10-04 10:32:02	ga_ls7e_ard_3-2-0_112084_2021-10-04_final
2021-10-05 09:30:21	ga_ls7e_ard_3-2-0_103069_2021-10-05_final
2021-10-05 09:30:45	ga_ls7e_ard_3-2-0_103070_2021-10-05_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-05 09:31:32	ga_ls7e_ard_3-2-0_103072_2021-10-05_final
2021-10-05 09:31:56	ga_ls7e_ard_3-2-0_103073_2021-10-05_final
2021-10-05 09:32:20	ga_ls7e_ard_3-2-0_103074_2021-10-05_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-05 09:33:08	ga_ls7e_ard_3-2-0_103076_2021-10-05_final
2021-10-05 09:33:32	ga_ls7e_ard_3-2-0_103077_2021-10-05_final
2021-10-05 09:33:56	ga_ls7e_ard_3-2-0_103078_2021-10-05_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-10-05 09:34:44	ga_ls7e_ard_3-2-0_103080_2021-10-05_final
2021-10-05 09:35:08	ga_ls7e_ard_3-2-0_103081_2021-10-05_final
2021-10-05 09:35:32	ga_ls7e_ard_3-2-0_103082_2021-10-05_final

Return to ga_ls7e_ard_3 across October 2021 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

2021

October

All days