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

65 results

Time (local)	Label
2020-10-10 09:12:42	ga_ls7e_ard_3-1-0_095077_2020-10-09_final
2020-10-10 10:54:23	ga_ls7e_ard_3-1-0_111084_2020-10-10_final
2020-10-13 09:41:25	ga_ls7e_ard_3-1-0_100072_2020-10-13_final
2020-10-13 09:41:49	ga_ls7e_ard_3-1-0_100073_2020-10-13_final
2020-10-13 09:42:37	ga_ls7e_ard_3-1-0_100075_2020-10-13_final
2020-10-13 09:43:01	ga_ls7e_ard_3-1-0_100076_2020-10-13_final
2020-10-13 09:43:25	ga_ls7e_ard_3-1-0_100077_2020-10-13_final
2020-10-13 09:43:49	ga_ls7e_ard_3-1-0_100078_2020-10-13_final
2020-10-13 09:44:13	ga_ls7e_ard_3-1-0_100079_2020-10-13_final
2020-10-13 09:44:37	ga_ls7e_ard_3-1-0_100080_2020-10-13_final
2020-10-13 09:45:01	ga_ls7e_ard_3-1-0_100081_2020-10-13_final
2020-10-13 09:45:48	ga_ls7e_ard_3-1-0_100083_2020-10-13_final
2020-10-14 08:47:44	ga_ls7e_ard_3-1-0_091077_2020-10-13_final
2020-10-15 09:27:20	ga_ls7e_ard_3-1-0_098068_2020-10-14_final
2020-10-15 09:27:44	ga_ls7e_ard_3-1-0_098069_2020-10-14_final
2020-10-15 09:28:08	ga_ls7e_ard_3-1-0_098070_2020-10-14_final
2020-10-15 09:28:32	ga_ls7e_ard_3-1-0_098071_2020-10-14_final
2020-10-15 09:28:56	ga_ls7e_ard_3-1-0_098072_2020-10-14_final
2020-10-15 09:29:20	ga_ls7e_ard_3-1-0_098073_2020-10-14_final
2020-10-15 09:29:44	ga_ls7e_ard_3-1-0_098074_2020-10-14_final
2020-10-15 09:30:32	ga_ls7e_ard_3-1-0_098076_2020-10-15_final
2020-10-15 09:30:55	ga_ls7e_ard_3-1-0_098077_2020-10-15_final
2020-10-15 09:31:19	ga_ls7e_ard_3-1-0_098078_2020-10-15_final
2020-10-15 09:32:55	ga_ls7e_ard_3-1-0_098082_2020-10-15_final
2020-10-15 11:09:00	ga_ls7e_ard_3-1-0_114075_2020-10-15_final
2020-10-15 11:09:24	ga_ls7e_ard_3-1-0_114076_2020-10-15_final
2020-10-15 11:09:48	ga_ls7e_ard_3-1-0_114077_2020-10-15_final
2020-10-15 11:10:12	ga_ls7e_ard_3-1-0_114078_2020-10-15_final
2020-10-15 11:10:36	ga_ls7e_ard_3-1-0_114079_2020-10-15_final
2020-10-15 11:11:00	ga_ls7e_ard_3-1-0_114080_2020-10-15_final
2020-10-17 09:15:39	ga_ls7e_ard_3-1-0_096070_2020-10-16_final
2020-10-17 09:16:02	ga_ls7e_ard_3-1-0_096071_2020-10-16_final
2020-10-17 09:16:26	ga_ls7e_ard_3-1-0_096072_2020-10-16_final
2020-10-17 09:16:50	ga_ls7e_ard_3-1-0_096073_2020-10-16_final
2020-10-17 09:17:14	ga_ls7e_ard_3-1-0_096074_2020-10-16_final
2020-10-17 09:17:38	ga_ls7e_ard_3-1-0_096075_2020-10-16_final
2020-10-17 09:18:02	ga_ls7e_ard_3-1-0_096076_2020-10-16_final
2020-10-17 09:18:26	ga_ls7e_ard_3-1-0_096077_2020-10-16_final
2020-10-17 09:18:50	ga_ls7e_ard_3-1-0_096078_2020-10-16_final
2020-10-17 09:20:02	ga_ls7e_ard_3-1-0_096081_2020-10-16_final
2020-10-17 10:53:20	ga_ls7e_ard_3-1-0_112067_2020-10-17_final
2020-10-17 10:56:07	ga_ls7e_ard_3-1-0_112074_2020-10-17_final
2020-10-17 10:56:31	ga_ls7e_ard_3-1-0_112075_2020-10-17_final
2020-10-17 10:56:55	ga_ls7e_ard_3-1-0_112076_2020-10-17_final
2020-10-17 10:57:19	ga_ls7e_ard_3-1-0_112077_2020-10-17_final
2020-10-17 10:57:43	ga_ls7e_ard_3-1-0_112078_2020-10-17_final
2020-10-17 10:58:07	ga_ls7e_ard_3-1-0_112079_2020-10-17_final
2020-10-17 10:58:31	ga_ls7e_ard_3-1-0_112080_2020-10-17_final
2020-10-17 10:58:55	ga_ls7e_ard_3-1-0_112081_2020-10-17_final
2020-10-17 10:59:19	ga_ls7e_ard_3-1-0_112082_2020-10-17_final
2020-10-17 10:59:43	ga_ls7e_ard_3-1-0_112083_2020-10-17_final
2020-10-17 11:00:06	ga_ls7e_ard_3-1-0_112084_2020-10-17_final
2020-10-18 09:58:26	ga_ls7e_ard_3-1-0_103069_2020-10-18_final
2020-10-18 09:58:50	ga_ls7e_ard_3-1-0_103070_2020-10-18_final
2020-10-18 09:59:14	ga_ls7e_ard_3-1-0_103071_2020-10-18_final
2020-10-18 10:00:02	ga_ls7e_ard_3-1-0_103073_2020-10-18_final
2020-10-18 10:00:26	ga_ls7e_ard_3-1-0_103074_2020-10-18_final
2020-10-18 10:00:50	ga_ls7e_ard_3-1-0_103075_2020-10-18_final
2020-10-18 10:01:14	ga_ls7e_ard_3-1-0_103076_2020-10-18_final
2020-10-18 10:01:38	ga_ls7e_ard_3-1-0_103077_2020-10-18_final
2020-10-18 10:02:02	ga_ls7e_ard_3-1-0_103078_2020-10-18_final
2020-10-18 10:02:26	ga_ls7e_ard_3-1-0_103079_2020-10-18_final
2020-10-18 10:02:50	ga_ls7e_ard_3-1-0_103080_2020-10-18_final
2020-10-18 10:03:14	ga_ls7e_ard_3-1-0_103081_2020-10-18_final
2020-10-18 10:03:37	ga_ls7e_ard_3-1-0_103082_2020-10-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years