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

51 results

Time (local)	Label
2020-08-12 09:32:41	ga_ls7e_ard_3-1-0_098071_2020-08-12_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-14 09:19:48	ga_ls7e_ard_3-1-0_096070_2020-08-13_final
2020-08-14 09:20:12	ga_ls7e_ard_3-1-0_096071_2020-08-13_final
2020-08-14 09:20:35	ga_ls7e_ard_3-1-0_096072_2020-08-13_final
2020-08-14 09:20:59	ga_ls7e_ard_3-1-0_096073_2020-08-13_final
2020-08-14 09:21:23	ga_ls7e_ard_3-1-0_096074_2020-08-13_final
2020-08-14 09:21:47	ga_ls7e_ard_3-1-0_096075_2020-08-13_final
2020-08-14 09:22:11	ga_ls7e_ard_3-1-0_096076_2020-08-13_final
2020-08-14 09:22:35	ga_ls7e_ard_3-1-0_096077_2020-08-13_final
2020-08-14 09:22:59	ga_ls7e_ard_3-1-0_096078_2020-08-13_final
2020-08-14 09:23:23	ga_ls7e_ard_3-1-0_096079_2020-08-13_final
2020-08-14 09:23:47	ga_ls7e_ard_3-1-0_096080_2020-08-13_final
2020-08-14 09:24:11	ga_ls7e_ard_3-1-0_096081_2020-08-13_final
2020-08-14 09:24:35	ga_ls7e_ard_3-1-0_096082_2020-08-13_final
2020-08-14 09:24:59	ga_ls7e_ard_3-1-0_096083_2020-08-13_final
2020-08-14 09:25:23	ga_ls7e_ard_3-1-0_096084_2020-08-13_final
2020-08-14 09:25:47	ga_ls7e_ard_3-1-0_096085_2020-08-13_final
2020-08-14 09:26:11	ga_ls7e_ard_3-1-0_096086_2020-08-13_final
2020-08-16 09:13:18	ga_ls7e_ard_3-1-0_094085_2020-08-15_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-08-21 09:25:08	ga_ls7e_ard_3-1-0_097069_2020-08-20_final
2020-08-21 09:25:31	ga_ls7e_ard_3-1-0_097070_2020-08-20_final
2020-08-21 09:25:55	ga_ls7e_ard_3-1-0_097071_2020-08-20_final
2020-08-21 09:26:19	ga_ls7e_ard_3-1-0_097072_2020-08-20_final
2020-08-21 09:26:43	ga_ls7e_ard_3-1-0_097073_2020-08-20_final
2020-08-21 09:27:07	ga_ls7e_ard_3-1-0_097074_2020-08-20_final
2020-08-21 09:27:31	ga_ls7e_ard_3-1-0_097075_2020-08-20_final
2020-08-21 09:27:55	ga_ls7e_ard_3-1-0_097076_2020-08-20_final
2020-08-21 09:28:19	ga_ls7e_ard_3-1-0_097077_2020-08-20_final
2020-08-21 09:28:43	ga_ls7e_ard_3-1-0_097078_2020-08-20_final
2020-08-21 09:30:19	ga_ls7e_ard_3-1-0_097082_2020-08-21_final
2020-08-21 09:30:43	ga_ls7e_ard_3-1-0_097083_2020-08-21_final
2020-08-21 09:31:07	ga_ls7e_ard_3-1-0_097084_2020-08-21_final
2020-08-23 09:11:50	ga_ls7e_ard_3-1-0_095067_2020-08-22_final
2020-08-23 09:13:50	ga_ls7e_ard_3-1-0_095072_2020-08-22_final
2020-08-23 09:14:14	ga_ls7e_ard_3-1-0_095073_2020-08-22_final
2020-08-23 09:14:38	ga_ls7e_ard_3-1-0_095074_2020-08-22_final
2020-08-23 09:15:02	ga_ls7e_ard_3-1-0_095075_2020-08-22_final
2020-08-23 09:15:26	ga_ls7e_ard_3-1-0_095076_2020-08-22_final
2020-08-23 09:15:50	ga_ls7e_ard_3-1-0_095077_2020-08-22_final
2020-08-23 09:16:14	ga_ls7e_ard_3-1-0_095078_2020-08-22_final
2020-08-23 09:16:38	ga_ls7e_ard_3-1-0_095079_2020-08-22_final
2020-08-23 09:17:02	ga_ls7e_ard_3-1-0_095080_2020-08-22_final
2020-08-23 09:17:26	ga_ls7e_ard_3-1-0_095081_2020-08-22_final
2020-08-23 09:18:13	ga_ls7e_ard_3-1-0_095083_2020-08-22_final
2020-08-23 09:18:37	ga_ls7e_ard_3-1-0_095084_2020-08-22_final
2020-08-23 09:19:01	ga_ls7e_ard_3-1-0_095085_2020-08-22_final
2020-08-23 09:19:25	ga_ls7e_ard_3-1-0_095086_2020-08-22_final
2020-08-23 09:19:49	ga_ls7e_ard_3-1-0_095087_2020-08-22_final
2020-08-28 09:31:39	ga_ls7e_ard_3-1-0_098071_2020-08-28_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