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

52 results

Time (local)	Label
2020-06-13 10:50:06	ga_ls7e_ard_3-1-0_110070_2020-06-13_final
2020-06-13 10:51:42	ga_ls7e_ard_3-1-0_110074_2020-06-13_final
2020-06-13 10:54:05	ga_ls7e_ard_3-1-0_110080_2020-06-13_final
2020-06-13 10:54:29	ga_ls7e_ard_3-1-0_110081_2020-06-13_final
2020-06-16 11:23:37	ga_ls7e_ard_3-1-0_115077_2020-06-16_final
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-06-18 11:09:57	ga_ls7e_ard_3-1-0_113074_2020-06-18_final
2020-06-20 10:57:28	ga_ls7e_ard_3-1-0_111074_2020-06-20_final
2020-06-20 11:00:40	ga_ls7e_ard_3-1-0_111082_2020-06-20_final
2020-06-20 11:01:27	ga_ls7e_ard_3-1-0_111084_2020-06-20_final
2020-06-25 11:12:55	ga_ls7e_ard_3-1-0_114067_2020-06-25_final
2020-06-27 11:03:38	ga_ls7e_ard_3-1-0_112075_2020-06-27_final
2020-06-27 11:04:50	ga_ls7e_ard_3-1-0_112078_2020-06-27_final
2020-06-27 11:06:49	ga_ls7e_ard_3-1-0_112083_2020-06-27_final
2020-06-29 10:49:09	ga_ls7e_ard_3-1-0_110070_2020-06-29_final
2020-06-29 10:50:45	ga_ls7e_ard_3-1-0_110074_2020-06-29_final
2020-06-29 10:53:09	ga_ls7e_ard_3-1-0_110080_2020-06-29_final
2020-07-02 11:22:40	ga_ls7e_ard_3-1-0_115077_2020-07-02_final
2020-07-04 11:06:12	ga_ls7e_ard_3-1-0_113067_2020-07-04_final
2020-07-04 11:09:23	ga_ls7e_ard_3-1-0_113075_2020-07-04_final
2020-07-04 11:12:59	ga_ls7e_ard_3-1-0_113084_2020-07-04_final
2020-07-06 10:54:07	ga_ls7e_ard_3-1-0_111068_2020-07-06_final
2020-07-06 10:55:43	ga_ls7e_ard_3-1-0_111072_2020-07-06_final
2020-07-06 10:56:07	ga_ls7e_ard_3-1-0_111073_2020-07-06_final
2020-07-06 10:56:31	ga_ls7e_ard_3-1-0_111074_2020-07-06_final
2020-07-06 10:59:18	ga_ls7e_ard_3-1-0_111081_2020-07-06_final
2020-07-06 11:00:30	ga_ls7e_ard_3-1-0_111084_2020-07-06_final
2020-07-13 10:59:28	ga_ls7e_ard_3-1-0_112067_2020-07-13_final
2020-07-13 11:02:40	ga_ls7e_ard_3-1-0_112075_2020-07-13_final
2020-07-13 11:03:28	ga_ls7e_ard_3-1-0_112077_2020-07-13_final
2020-07-13 11:05:04	ga_ls7e_ard_3-1-0_112081_2020-07-13_final
2020-07-15 10:46:59	ga_ls7e_ard_3-1-0_110067_2020-07-15_final
2020-07-15 10:48:11	ga_ls7e_ard_3-1-0_110070_2020-07-15_final
2020-07-15 10:49:47	ga_ls7e_ard_3-1-0_110074_2020-07-15_final
2020-07-15 10:52:11	ga_ls7e_ard_3-1-0_110080_2020-07-15_final
2020-07-15 10:52:59	ga_ls7e_ard_3-1-0_110082_2020-07-15_final
2020-07-18 11:21:42	ga_ls7e_ard_3-1-0_115077_2020-07-18_final
2020-07-20 11:05:13	ga_ls7e_ard_3-1-0_113067_2020-07-20_final
2020-07-20 11:08:25	ga_ls7e_ard_3-1-0_113075_2020-07-20_final
2020-07-20 11:10:01	ga_ls7e_ard_3-1-0_113079_2020-07-20_final
2020-07-22 10:52:44	ga_ls7e_ard_3-1-0_111067_2020-07-22_final
2020-07-22 10:55:32	ga_ls7e_ard_3-1-0_111074_2020-07-22_final
2020-07-22 10:58:44	ga_ls7e_ard_3-1-0_111082_2020-07-22_final
2020-07-24 10:46:38	ga_ls7e_ard_3-1-0_109083_2020-07-24_final
2020-07-27 11:10:58	ga_ls7e_ard_3-1-0_114067_2020-07-27_final
2020-07-27 11:14:34	ga_ls7e_ard_3-1-0_114076_2020-07-27_final
2020-07-29 11:01:41	ga_ls7e_ard_3-1-0_112075_2020-07-29_final
2020-07-29 11:02:29	ga_ls7e_ard_3-1-0_112077_2020-07-29_final
2020-07-29 11:04:04	ga_ls7e_ard_3-1-0_112081_2020-07-29_final
2020-08-05 11:04:14	ga_ls7e_ard_3-1-0_113067_2020-08-05_final
2020-08-05 11:09:01	ga_ls7e_ard_3-1-0_113079_2020-08-05_final
2020-08-05 11:09:49	ga_ls7e_ard_3-1-0_113081_2020-08-05_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