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

First 100 results (query limit)

Time (local)	Label
2015-04-25 09:21:13	ga_ls8c_ard_3-0-0_090088_2015-04-24_final
2015-04-25 09:21:37	ga_ls8c_ard_3-0-0_090089_2015-04-24_final
2015-04-25 09:22:01	ga_ls8c_ard_3-0-0_090090_2015-04-24_final
2015-04-25 09:22:25	ga_ls8c_ard_3-0-0_090091_2015-04-24_final
2015-04-28 09:43:41	ga_ls8c_ard_3-0-0_095067_2015-04-28_final
2015-04-28 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-04-28_final
2015-04-28 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-04-28_final
2015-04-28 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-04-28_final
2015-04-28 09:46:05	ga_ls8c_ard_3-0-0_095073_2015-04-28_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-05-27 09:22:09	ga_ls8c_ard_3-0-0_090091_2015-05-26_final
2015-05-30 09:43:29	ga_ls8c_ard_3-0-0_095067_2015-05-30_final
2015-05-30 09:44:41	ga_ls8c_ard_3-0-0_095070_2015-05-30_final
2015-05-30 09:45:05	ga_ls8c_ard_3-0-0_095071_2015-05-30_final
2015-05-30 09:45:29	ga_ls8c_ard_3-0-0_095072_2015-05-30_final
2015-05-30 09:45:53	ga_ls8c_ard_3-0-0_095073_2015-05-30_final
2015-06-12 09:21:09	ga_ls8c_ard_3-0-0_090088_2015-06-11_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-06-12 09:21:57	ga_ls8c_ard_3-0-0_090090_2015-06-11_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2015-06-15 09:43:42	ga_ls8c_ard_3-0-0_095067_2015-06-15_final
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-06-15 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-06-15_final
2015-06-15 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-06-15_final
2015-06-15 09:46:05	ga_ls8c_ard_3-0-0_095073_2015-06-15_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-11-24 09:35:47	ga_ls8c_ard_3-0-0_093076_2015-11-24_final
2015-11-24 09:36:11	ga_ls8c_ard_3-0-0_093077_2015-11-24_final
2015-11-24 09:36:35	ga_ls8c_ard_3-0-0_093078_2015-11-24_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-24 09:37:47	ga_ls8c_ard_3-0-0_093081_2015-11-24_final
2015-11-24 09:38:11	ga_ls8c_ard_3-0-0_093082_2015-11-24_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2021-09-05 09:35:53	ga_ls8c_ard_3-2-0_093076_2021-09-05_final
2021-09-05 09:36:17	ga_ls8c_ard_3-2-0_093077_2021-09-05_final
2021-09-05 09:36:41	ga_ls8c_ard_3-2-0_093078_2021-09-05_final
2021-09-05 09:37:05	ga_ls8c_ard_3-2-0_093079_2021-09-05_final
2021-09-05 09:37:29	ga_ls8c_ard_3-2-0_093080_2021-09-05_final
2021-09-05 09:37:53	ga_ls8c_ard_3-2-0_093081_2021-09-05_final
2021-09-05 09:38:17	ga_ls8c_ard_3-2-0_093082_2021-09-05_final
2021-09-07 09:26:44	ga_ls8c_ard_3-2-0_091084_2021-09-06_final
2021-09-07 09:27:08	ga_ls8c_ard_3-2-0_091085_2021-09-06_final
2021-09-07 09:27:32	ga_ls8c_ard_3-2-0_091086_2021-09-06_final
2021-09-07 09:27:56	ga_ls8c_ard_3-2-0_091087_2021-09-06_final
2021-09-07 09:28:19	ga_ls8c_ard_3-2-0_091088_2021-09-06_final
2021-09-07 09:28:43	ga_ls8c_ard_3-2-0_091089_2021-09-06_final
2021-09-12 09:42:06	ga_ls8c_ard_3-2-0_094076_2021-09-12_final
2021-09-12 09:42:30	ga_ls8c_ard_3-2-0_094077_2021-09-12_final
2021-09-14 09:31:44	ga_ls8c_ard_3-2-0_092081_2021-09-14_final
2021-09-14 09:32:08	ga_ls8c_ard_3-2-0_092082_2021-09-14_final
2021-09-14 09:32:32	ga_ls8c_ard_3-2-0_092083_2021-09-14_final
2021-09-14 09:32:56	ga_ls8c_ard_3-2-0_092084_2021-09-14_final
2021-09-14 09:33:20	ga_ls8c_ard_3-2-0_092085_2021-09-14_final
2021-09-14 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-09-14_final
2021-09-16 09:22:10	ga_ls8c_ard_3-2-0_090088_2021-09-15_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-16 09:22:58	ga_ls8c_ard_3-2-0_090090_2021-09-15_final
2021-09-16 09:23:22	ga_ls8c_ard_3-2-0_090091_2021-09-15_final
2021-10-12 09:51:00	ga_ls8c_ard_3-2-0_096067_2021-10-12_final
2021-10-12 09:51:24	ga_ls8c_ard_3-2-0_096068_2021-10-12_final
2021-10-14 09:40:38	ga_ls8c_ard_3-2-0_094072_2021-10-14_final
2021-10-14 09:41:02	ga_ls8c_ard_3-2-0_094073_2021-10-14_final
2021-10-14 09:41:26	ga_ls8c_ard_3-2-0_094074_2021-10-14_final
2021-10-14 09:41:50	ga_ls8c_ard_3-2-0_094075_2021-10-14_final
2021-10-14 09:42:14	ga_ls8c_ard_3-2-0_094076_2021-10-14_final
2021-10-14 09:42:38	ga_ls8c_ard_3-2-0_094077_2021-10-14_final
2021-10-21 09:44:50	ga_ls8c_ard_3-2-0_095067_2021-10-21_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-21 09:46:26	ga_ls8c_ard_3-2-0_095071_2021-10-21_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-30 09:40:39	ga_ls8c_ard_3-2-0_094072_2021-10-30_final
2021-10-30 09:41:03	ga_ls8c_ard_3-2-0_094073_2021-10-30_final
2021-10-30 09:41:27	ga_ls8c_ard_3-2-0_094074_2021-10-30_final
2021-10-30 09:41:51	ga_ls8c_ard_3-2-0_094075_2021-10-30_final
2021-10-30 09:42:15	ga_ls8c_ard_3-2-0_094076_2021-10-30_final
2021-10-30 09:42:39	ga_ls8c_ard_3-2-0_094077_2021-10-30_final
2021-11-01 09:31:53	ga_ls8c_ard_3-2-0_092081_2021-11-01_final
2021-11-01 09:32:17	ga_ls8c_ard_3-2-0_092082_2021-11-01_final
2021-11-01 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-11-01_final
2021-11-01 09:33:05	ga_ls8c_ard_3-2-0_092084_2021-11-01_final
2021-11-01 09:33:29	ga_ls8c_ard_3-2-0_092085_2021-11-01_final
2021-11-01 09:33:53	ga_ls8c_ard_3-2-0_092086_2021-11-01_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_final
2021-11-06 09:46:25	ga_ls8c_ard_3-2-0_095071_2021-11-06_final
2021-11-06 09:46:49	ga_ls8c_ard_3-2-0_095072_2021-11-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years