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

50 results

Time (local)	Label
2021-06-16 08:43:34	ga_ls7e_ard_3-2-0_094067_2021-06-15_final
2021-06-16 08:46:21	ga_ls7e_ard_3-2-0_094074_2021-06-15_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-16 08:47:33	ga_ls7e_ard_3-2-0_094077_2021-06-15_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-06-16 08:49:09	ga_ls7e_ard_3-2-0_094081_2021-06-15_final
2021-06-16 08:49:33	ga_ls7e_ard_3-2-0_094082_2021-06-15_final
2021-06-16 08:50:21	ga_ls7e_ard_3-2-0_094084_2021-06-15_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-06-16 10:23:38	ga_ls7e_ard_3-2-0_110070_2021-06-16_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-16 10:24:50	ga_ls7e_ard_3-2-0_110073_2021-06-16_final
2021-06-16 10:25:14	ga_ls7e_ard_3-2-0_110074_2021-06-16_final
2021-06-16 10:26:26	ga_ls7e_ard_3-2-0_110077_2021-06-16_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-06-16 10:28:25	ga_ls7e_ard_3-2-0_110082_2021-06-16_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-06-17 09:28:20	ga_ls7e_ard_3-2-0_101071_2021-06-16_final
2021-06-17 09:28:44	ga_ls7e_ard_3-2-0_101072_2021-06-16_final
2021-06-17 09:29:08	ga_ls7e_ard_3-2-0_101073_2021-06-16_final
2021-06-17 09:29:32	ga_ls7e_ard_3-2-0_101074_2021-06-16_final
2021-06-17 09:30:20	ga_ls7e_ard_3-2-0_101076_2021-06-17_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-06-17 09:31:08	ga_ls7e_ard_3-2-0_101078_2021-06-17_final
2021-06-17 09:31:32	ga_ls7e_ard_3-2-0_101079_2021-06-17_final
2021-06-17 09:31:55	ga_ls7e_ard_3-2-0_101080_2021-06-17_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-17 09:32:43	ga_ls7e_ard_3-2-0_101082_2021-06-17_final
2021-06-18 08:34:14	ga_ls7e_ard_3-2-0_092075_2021-06-17_final
2021-06-18 08:34:38	ga_ls7e_ard_3-2-0_092076_2021-06-17_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-18 08:35:26	ga_ls7e_ard_3-2-0_092078_2021-06-17_final
2021-06-18 08:35:49	ga_ls7e_ard_3-2-0_092079_2021-06-17_final
2021-06-18 08:36:13	ga_ls7e_ard_3-2-0_092080_2021-06-17_final
2021-06-18 08:36:37	ga_ls7e_ard_3-2-0_092081_2021-06-17_final
2021-06-18 08:37:49	ga_ls7e_ard_3-2-0_092084_2021-06-17_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-06-18 10:11:07	ga_ls7e_ard_3-2-0_108070_2021-06-18_final
2021-06-18 10:11:31	ga_ls7e_ard_3-2-0_108071_2021-06-18_final
2021-06-18 10:11:55	ga_ls7e_ard_3-2-0_108072_2021-06-18_final
2021-06-18 10:13:54	ga_ls7e_ard_3-2-0_108077_2021-06-18_final
2021-06-18 10:14:18	ga_ls7e_ard_3-2-0_108078_2021-06-18_final
2021-06-18 10:14:42	ga_ls7e_ard_3-2-0_108079_2021-06-18_final
2021-06-18 10:15:06	ga_ls7e_ard_3-2-0_108080_2021-06-18_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-06-18 10:15:54	ga_ls7e_ard_3-2-0_108082_2021-06-18_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-18 10:16:42	ga_ls7e_ard_3-2-0_108084_2021-06-18_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