Search ga_ls7e_ard_3 across March 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
2021-03-01 09:12:08	ga_ls7e_ard_3-2-0_097070_2021-02-28_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-01 09:12:56	ga_ls7e_ard_3-2-0_097072_2021-02-28_final
2021-03-01 09:13:20	ga_ls7e_ard_3-2-0_097073_2021-02-28_final
2021-03-01 09:13:44	ga_ls7e_ard_3-2-0_097074_2021-02-28_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-01 09:14:32	ga_ls7e_ard_3-2-0_097076_2021-02-28_final
2021-03-01 09:14:56	ga_ls7e_ard_3-2-0_097077_2021-02-28_final
2021-03-01 09:15:20	ga_ls7e_ard_3-2-0_097078_2021-02-28_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-01 09:16:07	ga_ls7e_ard_3-2-0_097080_2021-02-28_final
2021-03-01 09:16:31	ga_ls7e_ard_3-2-0_097081_2021-02-28_final
2021-03-01 09:16:55	ga_ls7e_ard_3-2-0_097082_2021-02-28_final
2021-03-01 09:17:19	ga_ls7e_ard_3-2-0_097083_2021-02-28_final
2021-03-01 09:17:43	ga_ls7e_ard_3-2-0_097084_2021-02-28_final
2021-03-01 09:18:07	ga_ls7e_ard_3-2-0_097085_2021-02-28_final
2021-03-01 10:49:49	ga_ls7e_ard_3-2-0_113067_2021-03-01_final
2021-03-01 10:52:37	ga_ls7e_ard_3-2-0_113074_2021-03-01_final
2021-03-01 10:53:00	ga_ls7e_ard_3-2-0_113075_2021-03-01_final
2021-03-01 10:53:24	ga_ls7e_ard_3-2-0_113076_2021-03-01_final
2021-03-01 10:54:12	ga_ls7e_ard_3-2-0_113078_2021-03-01_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-01 10:56:12	ga_ls7e_ard_3-2-0_113083_2021-03-01_final
2021-03-01 10:56:36	ga_ls7e_ard_3-2-0_113084_2021-03-01_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-02 09:55:19	ga_ls7e_ard_3-2-0_104070_2021-03-02_final
2021-03-02 09:55:43	ga_ls7e_ard_3-2-0_104071_2021-03-02_final
2021-03-02 09:56:07	ga_ls7e_ard_3-2-0_104072_2021-03-02_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-02 09:56:55	ga_ls7e_ard_3-2-0_104074_2021-03-02_final
2021-03-02 09:57:19	ga_ls7e_ard_3-2-0_104075_2021-03-02_final
2021-03-02 09:57:43	ga_ls7e_ard_3-2-0_104076_2021-03-02_final
2021-03-02 09:58:06	ga_ls7e_ard_3-2-0_104077_2021-03-02_final
2021-03-02 09:58:30	ga_ls7e_ard_3-2-0_104078_2021-03-02_final
2021-03-02 09:58:54	ga_ls7e_ard_3-2-0_104079_2021-03-02_final
2021-03-03 08:58:25	ga_ls7e_ard_3-2-0_095067_2021-03-02_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-03-03 09:01:13	ga_ls7e_ard_3-2-0_095074_2021-03-02_final
2021-03-03 09:01:37	ga_ls7e_ard_3-2-0_095075_2021-03-02_final
2021-03-03 09:02:01	ga_ls7e_ard_3-2-0_095076_2021-03-02_final
2021-03-03 09:02:25	ga_ls7e_ard_3-2-0_095077_2021-03-02_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-03 09:03:36	ga_ls7e_ard_3-2-0_095080_2021-03-02_final
2021-03-03 09:04:00	ga_ls7e_ard_3-2-0_095081_2021-03-02_final
2021-03-03 09:04:24	ga_ls7e_ard_3-2-0_095082_2021-03-02_final
2021-03-03 09:04:48	ga_ls7e_ard_3-2-0_095083_2021-03-02_final
2021-03-03 09:05:12	ga_ls7e_ard_3-2-0_095084_2021-03-02_final
2021-03-03 09:05:36	ga_ls7e_ard_3-2-0_095085_2021-03-02_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-03 10:37:42	ga_ls7e_ard_3-2-0_111068_2021-03-03_final
2021-03-03 10:39:18	ga_ls7e_ard_3-2-0_111072_2021-03-03_final
2021-03-03 10:40:30	ga_ls7e_ard_3-2-0_111075_2021-03-03_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-04 09:42:24	ga_ls7e_ard_3-2-0_102069_2021-03-04_final
2021-03-04 09:43:12	ga_ls7e_ard_3-2-0_102071_2021-03-04_final
2021-03-04 09:44:00	ga_ls7e_ard_3-2-0_102073_2021-03-04_final
2021-03-04 09:44:48	ga_ls7e_ard_3-2-0_102075_2021-03-04_final
2021-03-04 09:45:12	ga_ls7e_ard_3-2-0_102076_2021-03-04_final
2021-03-04 09:45:36	ga_ls7e_ard_3-2-0_102077_2021-03-04_final
2021-03-04 09:46:23	ga_ls7e_ard_3-2-0_102079_2021-03-04_final
2021-03-04 09:46:47	ga_ls7e_ard_3-2-0_102080_2021-03-04_final
2021-03-05 08:48:42	ga_ls7e_ard_3-2-0_093074_2021-03-04_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-03-05 08:49:54	ga_ls7e_ard_3-2-0_093077_2021-03-04_final
2021-03-05 08:50:18	ga_ls7e_ard_3-2-0_093078_2021-03-04_final
2021-03-05 08:50:42	ga_ls7e_ard_3-2-0_093079_2021-03-04_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-03-05 08:51:29	ga_ls7e_ard_3-2-0_093081_2021-03-04_final
2021-03-05 08:51:53	ga_ls7e_ard_3-2-0_093082_2021-03-04_final
2021-03-05 08:52:17	ga_ls7e_ard_3-2-0_093083_2021-03-04_final
2021-03-05 08:52:41	ga_ls7e_ard_3-2-0_093084_2021-03-04_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-05 10:26:47	ga_ls7e_ard_3-2-0_109072_2021-03-05_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-05 10:27:59	ga_ls7e_ard_3-2-0_109075_2021-03-05_final
2021-03-05 10:28:22	ga_ls7e_ard_3-2-0_109076_2021-03-05_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-05 10:29:10	ga_ls7e_ard_3-2-0_109078_2021-03-05_final
2021-03-05 10:29:34	ga_ls7e_ard_3-2-0_109079_2021-03-05_final
2021-03-05 10:29:58	ga_ls7e_ard_3-2-0_109080_2021-03-05_final
2021-03-05 10:30:22	ga_ls7e_ard_3-2-0_109081_2021-03-05_final
2021-03-05 10:30:46	ga_ls7e_ard_3-2-0_109082_2021-03-05_final
2021-03-05 10:31:10	ga_ls7e_ard_3-2-0_109083_2021-03-05_final
2021-03-05 10:31:34	ga_ls7e_ard_3-2-0_109084_2021-03-05_final
2021-03-06 09:30:41	ga_ls7e_ard_3-2-0_100071_2021-03-06_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-06 09:31:29	ga_ls7e_ard_3-2-0_100073_2021-03-06_final
2021-03-06 09:31:53	ga_ls7e_ard_3-2-0_100074_2021-03-06_final
2021-03-06 09:32:17	ga_ls7e_ard_3-2-0_100075_2021-03-06_final
2021-03-06 09:32:41	ga_ls7e_ard_3-2-0_100076_2021-03-06_final
2021-03-06 09:33:05	ga_ls7e_ard_3-2-0_100077_2021-03-06_final
2021-03-06 09:33:29	ga_ls7e_ard_3-2-0_100078_2021-03-06_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-03-06 09:34:16	ga_ls7e_ard_3-2-0_100080_2021-03-06_final

Return to ga_ls7e_ard_3 across March 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

March

All days