Search ga_ls8c_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

91 results

Time (local)	Label
2020-10-13 09:26:36	ga_ls8c_ard_3-1-0_092068_2020-10-12_final
2020-10-13 09:28:12	ga_ls8c_ard_3-1-0_092072_2020-10-12_final
2020-10-13 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-10-12_final
2020-10-13 09:30:11	ga_ls8c_ard_3-1-0_092077_2020-10-13_final
2020-10-13 09:32:59	ga_ls8c_ard_3-1-0_092084_2020-10-13_final
2020-10-13 09:33:23	ga_ls8c_ard_3-1-0_092085_2020-10-13_final
2020-10-14 11:50:45	ga_ls8c_ard_3-1-0_115073_2020-10-14_final
2020-10-14 11:51:08	ga_ls8c_ard_3-1-0_115074_2020-10-14_final
2020-10-14 11:51:32	ga_ls8c_ard_3-1-0_115075_2020-10-14_final
2020-10-14 11:51:56	ga_ls8c_ard_3-1-0_115076_2020-10-14_final
2020-10-14 11:52:44	ga_ls8c_ard_3-1-0_115078_2020-10-14_final
2020-10-14 11:53:32	ga_ls8c_ard_3-1-0_115080_2020-10-14_final
2020-10-15 09:20:14	ga_ls8c_ard_3-1-0_090083_2020-10-14_final
2020-10-15 09:20:38	ga_ls8c_ard_3-1-0_090084_2020-10-14_final
2020-10-15 09:21:02	ga_ls8c_ard_3-1-0_090085_2020-10-14_final
2020-10-15 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-14_final
2020-10-15 09:22:13	ga_ls8c_ard_3-1-0_090088_2020-10-14_final
2020-10-15 09:22:37	ga_ls8c_ard_3-1-0_090089_2020-10-14_final
2020-10-15 09:23:01	ga_ls8c_ard_3-1-0_090090_2020-10-14_final
2020-10-15 09:23:25	ga_ls8c_ard_3-1-0_090091_2020-10-14_final
2020-10-16 11:41:35	ga_ls8c_ard_3-1-0_113081_2020-10-16_final
2020-10-16 11:42:22	ga_ls8c_ard_3-1-0_113083_2020-10-16_final
2020-10-16 11:42:46	ga_ls8c_ard_3-1-0_113084_2020-10-16_final
2020-10-21 11:57:19	ga_ls8c_ard_3-1-0_116074_2020-10-21_final
2020-10-21 11:58:07	ga_ls8c_ard_3-1-0_116076_2020-10-21_final
2020-10-22 09:22:01	ga_ls8c_ard_3-1-0_091072_2020-10-21_final
2020-10-22 09:23:13	ga_ls8c_ard_3-1-0_091075_2020-10-21_final
2020-10-22 09:23:37	ga_ls8c_ard_3-1-0_091076_2020-10-21_final
2020-10-22 09:24:25	ga_ls8c_ard_3-1-0_091078_2020-10-21_final
2020-10-22 09:24:49	ga_ls8c_ard_3-1-0_091079_2020-10-21_final
2020-10-22 09:25:13	ga_ls8c_ard_3-1-0_091080_2020-10-21_final
2020-10-22 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-10-21_final
2020-10-22 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-10-21_final
2020-10-22 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-10-21_final
2020-10-22 09:26:48	ga_ls8c_ard_3-1-0_091084_2020-10-21_final
2020-10-22 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-10-21_final
2020-10-22 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-21_final
2020-10-22 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-21_final
2020-10-22 09:28:24	ga_ls8c_ard_3-1-0_091088_2020-10-21_final
2020-10-22 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-21_final
2020-10-22 09:29:12	ga_ls8c_ard_3-1-0_091090_2020-10-21_final
2020-10-22 09:29:36	ga_ls8c_ard_3-1-0_091091_2020-10-21_final
2020-10-24 09:10:27	ga_ls8c_ard_3-1-0_089074_2020-10-23_final
2020-10-24 09:11:39	ga_ls8c_ard_3-1-0_089077_2020-10-23_final
2020-10-24 09:12:03	ga_ls8c_ard_3-1-0_089078_2020-10-23_final
2020-10-24 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-23_final
2020-10-24 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-23_final
2020-10-24 09:13:39	ga_ls8c_ard_3-1-0_089082_2020-10-23_final
2020-10-24 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-10-23_final
2020-10-24 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-10-23_final
2020-10-24 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-10-23_final
2020-10-24 09:15:15	ga_ls8c_ard_3-1-0_089086_2020-10-23_final
2020-10-24 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-23_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-10-25 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-25_final
2020-10-25 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-10-25_final
2020-10-27 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-27_final
2020-10-29 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-28_final
2020-10-29 09:27:47	ga_ls8c_ard_3-1-0_092071_2020-10-28_final
2020-10-29 09:28:11	ga_ls8c_ard_3-1-0_092072_2020-10-28_final
2020-10-29 09:28:35	ga_ls8c_ard_3-1-0_092073_2020-10-28_final
2020-10-29 09:28:59	ga_ls8c_ard_3-1-0_092074_2020-10-28_final
2020-10-29 09:29:47	ga_ls8c_ard_3-1-0_092076_2020-10-28_final
2020-10-29 09:30:11	ga_ls8c_ard_3-1-0_092077_2020-10-29_final
2020-10-29 09:30:35	ga_ls8c_ard_3-1-0_092078_2020-10-29_final
2020-10-29 09:30:59	ga_ls8c_ard_3-1-0_092079_2020-10-29_final
2020-10-29 09:32:11	ga_ls8c_ard_3-1-0_092082_2020-10-29_final
2020-10-29 09:32:59	ga_ls8c_ard_3-1-0_092084_2020-10-29_final
2020-10-29 09:33:22	ga_ls8c_ard_3-1-0_092085_2020-10-29_final
2020-10-31 09:17:01	ga_ls8c_ard_3-1-0_090075_2020-10-30_final
2020-11-10 09:50:52	ga_ls8c_ard_3-1-0_096067_2020-11-10_final
2020-11-10 09:51:16	ga_ls8c_ard_3-1-0_096068_2020-11-10_final
2020-11-10 09:51:40	ga_ls8c_ard_3-1-0_096069_2020-11-10_final
2020-11-10 09:52:04	ga_ls8c_ard_3-1-0_096070_2020-11-10_final
2020-11-10 09:52:28	ga_ls8c_ard_3-1-0_096071_2020-11-10_final
2020-11-10 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-11-10_final
2020-11-10 09:53:16	ga_ls8c_ard_3-1-0_096073_2020-11-10_final
2020-11-10 09:53:40	ga_ls8c_ard_3-1-0_096074_2020-11-10_final
2020-11-10 09:54:04	ga_ls8c_ard_3-1-0_096075_2020-11-10_final
2020-11-10 09:54:28	ga_ls8c_ard_3-1-0_096076_2020-11-10_final
2020-11-10 09:54:52	ga_ls8c_ard_3-1-0_096077_2020-11-10_final
2020-11-10 09:55:16	ga_ls8c_ard_3-1-0_096078_2020-11-10_final
2020-11-10 09:55:39	ga_ls8c_ard_3-1-0_096079_2020-11-10_final
2020-11-10 09:56:03	ga_ls8c_ard_3-1-0_096080_2020-11-10_final
2020-11-10 09:56:27	ga_ls8c_ard_3-1-0_096081_2020-11-10_final
2020-11-10 09:56:51	ga_ls8c_ard_3-1-0_096082_2020-11-10_final
2020-11-10 09:57:15	ga_ls8c_ard_3-1-0_096083_2020-11-10_final
2020-11-10 09:57:39	ga_ls8c_ard_3-1-0_096084_2020-11-10_final
2020-11-10 09:58:03	ga_ls8c_ard_3-1-0_096085_2020-11-10_final
2020-11-10 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-11-10_final
2020-11-10 09:58:51	ga_ls8c_ard_3-1-0_096087_2020-11-10_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years