Search ga_ls7e_ard_3 across April 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:

Add field

First 100 results (query limit)

Time (local)	Label
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-02 10:50:27	ga_ls7e_ard_3-2-0_113075_2021-04-02_final
2021-04-02 10:50:51	ga_ls7e_ard_3-2-0_113076_2021-04-02_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-02 10:53:15	ga_ls7e_ard_3-2-0_113082_2021-04-02_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-03 09:51:57	ga_ls7e_ard_3-2-0_104068_2021-04-03_final
2021-04-03 09:52:21	ga_ls7e_ard_3-2-0_104069_2021-04-03_final
2021-04-03 09:52:45	ga_ls7e_ard_3-2-0_104070_2021-04-03_final
2021-04-03 09:53:09	ga_ls7e_ard_3-2-0_104071_2021-04-03_final
2021-04-03 09:53:33	ga_ls7e_ard_3-2-0_104072_2021-04-03_final
2021-04-03 09:53:57	ga_ls7e_ard_3-2-0_104073_2021-04-03_final
2021-04-03 09:54:21	ga_ls7e_ard_3-2-0_104074_2021-04-03_final
2021-04-03 09:54:45	ga_ls7e_ard_3-2-0_104075_2021-04-03_final
2021-04-03 09:55:09	ga_ls7e_ard_3-2-0_104076_2021-04-03_final
2021-04-03 09:55:33	ga_ls7e_ard_3-2-0_104077_2021-04-03_final
2021-04-03 09:55:57	ga_ls7e_ard_3-2-0_104078_2021-04-03_final
2021-04-03 09:56:21	ga_ls7e_ard_3-2-0_104079_2021-04-03_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-03 09:57:33	ga_ls7e_ard_3-2-0_104082_2021-04-03_final
2021-04-04 08:59:27	ga_ls7e_ard_3-2-0_095076_2021-04-03_final
2021-04-04 08:59:51	ga_ls7e_ard_3-2-0_095077_2021-04-03_final
2021-04-04 09:00:15	ga_ls7e_ard_3-2-0_095078_2021-04-03_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-04 09:01:26	ga_ls7e_ard_3-2-0_095081_2021-04-03_final
2021-04-04 09:01:50	ga_ls7e_ard_3-2-0_095082_2021-04-03_final
2021-04-04 09:02:14	ga_ls7e_ard_3-2-0_095083_2021-04-03_final
2021-04-04 09:02:38	ga_ls7e_ard_3-2-0_095084_2021-04-03_final
2021-04-04 09:03:02	ga_ls7e_ard_3-2-0_095085_2021-04-03_final
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-04 10:37:32	ga_ls7e_ard_3-2-0_111074_2021-04-04_final
2021-04-04 10:37:56	ga_ls7e_ard_3-2-0_111075_2021-04-04_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-04 10:41:07	ga_ls7e_ard_3-2-0_111083_2021-04-04_final
2021-04-07 09:30:30	ga_ls7e_ard_3-2-0_100077_2021-04-07_final
2021-04-07 09:30:54	ga_ls7e_ard_3-2-0_100078_2021-04-07_final
2021-04-07 09:31:18	ga_ls7e_ard_3-2-0_100079_2021-04-07_final
2021-04-07 09:31:42	ga_ls7e_ard_3-2-0_100080_2021-04-07_final
2021-04-07 09:32:06	ga_ls7e_ard_3-2-0_100081_2021-04-07_final
2021-04-07 09:32:30	ga_ls7e_ard_3-2-0_100082_2021-04-07_final
2021-04-07 09:32:53	ga_ls7e_ard_3-2-0_100083_2021-04-07_final
2021-04-07 09:33:17	ga_ls7e_ard_3-2-0_100084_2021-04-07_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-08 08:34:48	ga_ls7e_ard_3-2-0_091077_2021-04-07_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-08 08:35:36	ga_ls7e_ard_3-2-0_091079_2021-04-07_final
2021-04-08 08:36:23	ga_ls7e_ard_3-2-0_091081_2021-04-07_final
2021-04-08 08:36:47	ga_ls7e_ard_3-2-0_091082_2021-04-07_final
2021-04-08 08:37:11	ga_ls7e_ard_3-2-0_091083_2021-04-07_final
2021-04-08 08:37:35	ga_ls7e_ard_3-2-0_091084_2021-04-07_final
2021-04-08 08:37:59	ga_ls7e_ard_3-2-0_091085_2021-04-07_final
2021-04-08 08:38:23	ga_ls7e_ard_3-2-0_091086_2021-04-07_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-08 08:39:59	ga_ls7e_ard_3-2-0_091090_2021-04-07_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-04-08 10:11:17	ga_ls7e_ard_3-2-0_107071_2021-04-08_final
2021-04-08 10:11:41	ga_ls7e_ard_3-2-0_107072_2021-04-08_final
2021-04-08 10:12:05	ga_ls7e_ard_3-2-0_107073_2021-04-08_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-08 10:12:52	ga_ls7e_ard_3-2-0_107075_2021-04-08_final
2021-04-08 10:13:16	ga_ls7e_ard_3-2-0_107076_2021-04-08_final
2021-04-08 10:13:40	ga_ls7e_ard_3-2-0_107077_2021-04-08_final
2021-04-08 10:14:04	ga_ls7e_ard_3-2-0_107078_2021-04-08_final
2021-04-08 10:14:28	ga_ls7e_ard_3-2-0_107079_2021-04-08_final
2021-04-08 10:14:52	ga_ls7e_ard_3-2-0_107080_2021-04-08_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-04-09 09:15:35	ga_ls7e_ard_3-2-0_098071_2021-04-08_final
2021-04-09 09:15:59	ga_ls7e_ard_3-2-0_098072_2021-04-08_final
2021-04-09 09:16:22	ga_ls7e_ard_3-2-0_098073_2021-04-08_final
2021-04-09 09:16:46	ga_ls7e_ard_3-2-0_098074_2021-04-08_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_final
2021-04-09 09:17:34	ga_ls7e_ard_3-2-0_098076_2021-04-08_final
2021-04-09 09:17:58	ga_ls7e_ard_3-2-0_098077_2021-04-08_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-04-09 09:19:10	ga_ls7e_ard_3-2-0_098080_2021-04-08_final
2021-04-09 09:19:34	ga_ls7e_ard_3-2-0_098081_2021-04-08_final
2021-04-09 09:19:58	ga_ls7e_ard_3-2-0_098082_2021-04-08_final
2021-04-09 09:20:22	ga_ls7e_ard_3-2-0_098083_2021-04-08_final
2021-04-09 09:20:46	ga_ls7e_ard_3-2-0_098084_2021-04-08_final

Return to ga_ls7e_ard_3 across April 2021 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

2021

April

All days