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
2020-10-30 10:23:34	ga_ls7e_ard_3-1-0_107072_2020-10-30_final
2020-10-31 09:25:53	ga_ls7e_ard_3-1-0_098067_2020-10-30_final
2020-10-31 09:26:17	ga_ls7e_ard_3-1-0_098068_2020-10-30_final
2020-10-31 09:26:41	ga_ls7e_ard_3-1-0_098069_2020-10-30_final
2020-10-31 09:27:05	ga_ls7e_ard_3-1-0_098070_2020-10-30_final
2020-10-31 09:27:29	ga_ls7e_ard_3-1-0_098071_2020-10-30_final
2020-10-31 09:27:52	ga_ls7e_ard_3-1-0_098072_2020-10-30_final
2020-10-31 09:28:16	ga_ls7e_ard_3-1-0_098073_2020-10-30_final
2020-10-31 09:28:40	ga_ls7e_ard_3-1-0_098074_2020-10-30_final
2020-10-31 09:29:04	ga_ls7e_ard_3-1-0_098075_2020-10-30_final
2020-10-31 09:29:28	ga_ls7e_ard_3-1-0_098076_2020-10-30_final
2020-10-31 09:30:16	ga_ls7e_ard_3-1-0_098078_2020-10-31_final
2020-10-31 09:30:40	ga_ls7e_ard_3-1-0_098079_2020-10-31_final
2020-10-31 09:31:04	ga_ls7e_ard_3-1-0_098080_2020-10-31_final
2020-10-31 09:31:28	ga_ls7e_ard_3-1-0_098081_2020-10-31_final
2020-10-31 09:31:52	ga_ls7e_ard_3-1-0_098082_2020-10-31_final
2020-10-31 11:07:33	ga_ls7e_ard_3-1-0_114074_2020-10-31_final
2020-10-31 11:07:57	ga_ls7e_ard_3-1-0_114075_2020-10-31_final
2020-10-31 11:08:21	ga_ls7e_ard_3-1-0_114076_2020-10-31_final
2020-10-31 11:08:45	ga_ls7e_ard_3-1-0_114077_2020-10-31_final
2020-10-31 11:09:09	ga_ls7e_ard_3-1-0_114078_2020-10-31_final
2020-10-31 11:09:33	ga_ls7e_ard_3-1-0_114079_2020-10-31_final
2020-10-31 11:09:57	ga_ls7e_ard_3-1-0_114080_2020-10-31_final
2020-11-28 09:49:03	ga_ls7e_ard_3-1-0_102068_2020-11-28_final
2020-11-28 09:49:27	ga_ls7e_ard_3-1-0_102069_2020-11-28_final
2020-11-28 09:49:51	ga_ls7e_ard_3-1-0_102070_2020-11-28_final
2020-11-28 09:50:15	ga_ls7e_ard_3-1-0_102071_2020-11-28_final
2020-11-28 09:50:39	ga_ls7e_ard_3-1-0_102072_2020-11-28_final
2020-11-28 09:51:03	ga_ls7e_ard_3-1-0_102073_2020-11-28_final
2020-11-28 09:51:26	ga_ls7e_ard_3-1-0_102074_2020-11-28_final
2020-11-28 09:51:50	ga_ls7e_ard_3-1-0_102075_2020-11-28_final
2020-11-28 09:52:14	ga_ls7e_ard_3-1-0_102076_2020-11-28_final
2020-11-28 09:52:38	ga_ls7e_ard_3-1-0_102077_2020-11-28_final
2020-11-28 09:53:02	ga_ls7e_ard_3-1-0_102078_2020-11-28_final
2020-11-28 09:53:26	ga_ls7e_ard_3-1-0_102079_2020-11-28_final
2020-11-28 09:53:50	ga_ls7e_ard_3-1-0_102080_2020-11-28_final
2020-11-28 09:54:14	ga_ls7e_ard_3-1-0_102081_2020-11-28_final
2020-11-28 09:54:38	ga_ls7e_ard_3-1-0_102082_2020-11-28_final
2020-11-29 08:55:45	ga_ls7e_ard_3-1-0_093074_2020-11-28_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-11-29 08:56:33	ga_ls7e_ard_3-1-0_093076_2020-11-28_final
2020-11-29 08:56:57	ga_ls7e_ard_3-1-0_093077_2020-11-28_final
2020-11-29 08:57:21	ga_ls7e_ard_3-1-0_093078_2020-11-28_final
2020-11-29 08:57:45	ga_ls7e_ard_3-1-0_093079_2020-11-28_final
2020-11-29 08:58:09	ga_ls7e_ard_3-1-0_093080_2020-11-28_final
2020-11-29 08:58:33	ga_ls7e_ard_3-1-0_093081_2020-11-28_final
2020-11-29 08:58:57	ga_ls7e_ard_3-1-0_093082_2020-11-28_final
2020-11-29 08:59:21	ga_ls7e_ard_3-1-0_093083_2020-11-28_final
2020-11-29 08:59:44	ga_ls7e_ard_3-1-0_093084_2020-11-28_final
2020-11-29 09:00:08	ga_ls7e_ard_3-1-0_093085_2020-11-28_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