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

63 results

Time (local)	Label
2020-11-16 09:24:47	ga_ls7e_ard_3-1-0_098067_2020-11-15_final
2020-11-17 08:33:29	ga_ls7e_ard_3-1-0_089078_2020-11-16_final
2020-11-17 08:33:53	ga_ls7e_ard_3-1-0_089079_2020-11-16_final
2020-11-17 08:34:17	ga_ls7e_ard_3-1-0_089080_2020-11-16_final
2020-11-17 08:34:41	ga_ls7e_ard_3-1-0_089081_2020-11-16_final
2020-11-17 08:35:05	ga_ls7e_ard_3-1-0_089082_2020-11-16_final
2020-11-17 08:35:29	ga_ls7e_ard_3-1-0_089083_2020-11-16_final
2020-11-17 08:35:53	ga_ls7e_ard_3-1-0_089084_2020-11-16_final
2020-11-17 08:36:17	ga_ls7e_ard_3-1-0_089085_2020-11-16_final
2020-11-17 08:36:41	ga_ls7e_ard_3-1-0_089086_2020-11-16_final
2020-11-17 10:08:22	ga_ls7e_ard_3-1-0_105068_2020-11-17_final
2020-11-17 10:08:46	ga_ls7e_ard_3-1-0_105069_2020-11-17_final
2020-11-17 10:09:10	ga_ls7e_ard_3-1-0_105070_2020-11-17_final
2020-11-17 10:09:34	ga_ls7e_ard_3-1-0_105071_2020-11-17_final
2020-11-17 10:11:58	ga_ls7e_ard_3-1-0_105077_2020-11-17_final
2020-11-17 10:12:22	ga_ls7e_ard_3-1-0_105078_2020-11-17_final
2020-11-17 10:12:46	ga_ls7e_ard_3-1-0_105079_2020-11-17_final
2020-11-17 10:13:10	ga_ls7e_ard_3-1-0_105080_2020-11-17_final
2020-11-17 10:13:33	ga_ls7e_ard_3-1-0_105081_2020-11-17_final
2020-11-17 10:13:57	ga_ls7e_ard_3-1-0_105082_2020-11-17_final
2020-11-18 09:12:17	ga_ls7e_ard_3-1-0_096067_2020-11-17_final
2020-11-18 09:13:53	ga_ls7e_ard_3-1-0_096071_2020-11-17_final
2020-11-18 09:14:17	ga_ls7e_ard_3-1-0_096072_2020-11-17_final
2020-11-18 09:14:41	ga_ls7e_ard_3-1-0_096073_2020-11-17_final
2020-11-18 09:15:04	ga_ls7e_ard_3-1-0_096074_2020-11-17_final
2020-11-18 09:15:28	ga_ls7e_ard_3-1-0_096075_2020-11-17_final
2020-11-18 09:15:52	ga_ls7e_ard_3-1-0_096076_2020-11-17_final
2020-11-18 09:16:16	ga_ls7e_ard_3-1-0_096077_2020-11-17_final
2020-11-18 09:16:40	ga_ls7e_ard_3-1-0_096078_2020-11-17_final
2020-11-18 09:17:04	ga_ls7e_ard_3-1-0_096079_2020-11-17_final
2020-11-18 09:17:28	ga_ls7e_ard_3-1-0_096080_2020-11-17_final
2020-11-18 09:17:52	ga_ls7e_ard_3-1-0_096081_2020-11-17_final
2020-11-18 09:18:16	ga_ls7e_ard_3-1-0_096082_2020-11-17_final
2020-11-18 09:18:40	ga_ls7e_ard_3-1-0_096083_2020-11-17_final
2020-11-18 09:19:04	ga_ls7e_ard_3-1-0_096084_2020-11-17_final
2020-11-18 09:19:28	ga_ls7e_ard_3-1-0_096085_2020-11-17_final
2020-11-18 10:53:57	ga_ls7e_ard_3-1-0_112074_2020-11-18_final
2020-11-18 10:54:21	ga_ls7e_ard_3-1-0_112075_2020-11-18_final
2020-11-18 10:54:45	ga_ls7e_ard_3-1-0_112076_2020-11-18_final
2020-11-18 10:55:09	ga_ls7e_ard_3-1-0_112077_2020-11-18_final
2020-11-18 10:55:33	ga_ls7e_ard_3-1-0_112078_2020-11-18_final
2020-11-18 10:55:57	ga_ls7e_ard_3-1-0_112079_2020-11-18_final
2020-11-18 10:56:21	ga_ls7e_ard_3-1-0_112080_2020-11-18_final
2020-11-18 10:56:45	ga_ls7e_ard_3-1-0_112081_2020-11-18_final
2020-11-18 10:57:09	ga_ls7e_ard_3-1-0_112082_2020-11-18_final
2020-12-16 09:38:32	ga_ls7e_ard_3-1-0_100076_2020-12-16_final
2020-12-16 09:38:56	ga_ls7e_ard_3-1-0_100077_2020-12-16_final
2020-12-16 09:39:20	ga_ls7e_ard_3-1-0_100078_2020-12-16_final
2020-12-16 09:39:44	ga_ls7e_ard_3-1-0_100079_2020-12-16_final
2020-12-16 09:40:08	ga_ls7e_ard_3-1-0_100080_2020-12-16_final
2020-12-16 09:40:32	ga_ls7e_ard_3-1-0_100081_2020-12-16_final
2020-12-16 09:40:56	ga_ls7e_ard_3-1-0_100082_2020-12-16_final
2020-12-16 09:41:20	ga_ls7e_ard_3-1-0_100083_2020-12-16_final
2020-12-16 09:41:44	ga_ls7e_ard_3-1-0_100084_2020-12-16_final
2020-12-17 08:42:51	ga_ls7e_ard_3-1-0_091076_2020-12-16_final
2020-12-17 08:43:14	ga_ls7e_ard_3-1-0_091077_2020-12-16_final
2020-12-17 08:44:02	ga_ls7e_ard_3-1-0_091079_2020-12-16_final
2020-12-17 08:44:26	ga_ls7e_ard_3-1-0_091080_2020-12-16_final
2020-12-17 08:45:14	ga_ls7e_ard_3-1-0_091082_2020-12-16_final
2020-12-17 08:46:26	ga_ls7e_ard_3-1-0_091085_2020-12-16_final
2020-12-17 08:46:50	ga_ls7e_ard_3-1-0_091086_2020-12-16_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2020-12-17 08:47:38	ga_ls7e_ard_3-1-0_091088_2020-12-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years