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
2014-07-25 09:30:32	ga_ls8c_ard_3-0-0_092079_2014-07-25_final
2014-07-25 09:30:56	ga_ls8c_ard_3-0-0_092080_2014-07-25_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-07-27 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-10-18 09:44:39	ga_ls8c_ard_3-0-0_095067_2014-10-18_final
2014-10-18 09:45:51	ga_ls8c_ard_3-0-0_095070_2014-10-18_final
2014-10-18 09:46:14	ga_ls8c_ard_3-0-0_095071_2014-10-18_final
2014-10-20 09:35:29	ga_ls8c_ard_3-0-0_093075_2014-10-20_final
2014-10-20 09:35:53	ga_ls8c_ard_3-0-0_093076_2014-10-20_final
2014-10-20 09:36:16	ga_ls8c_ard_3-0-0_093077_2014-10-20_final
2014-10-20 09:36:40	ga_ls8c_ard_3-0-0_093078_2014-10-20_final
2014-10-20 09:37:04	ga_ls8c_ard_3-0-0_093079_2014-10-20_final
2014-10-20 09:37:28	ga_ls8c_ard_3-0-0_093080_2014-10-20_final
2014-10-20 09:37:52	ga_ls8c_ard_3-0-0_093081_2014-10-20_final
2014-10-22 09:26:18	ga_ls8c_ard_3-0-0_091083_2014-10-21_final
2014-10-22 09:26:42	ga_ls8c_ard_3-0-0_091084_2014-10-21_final
2014-10-22 09:27:06	ga_ls8c_ard_3-0-0_091085_2014-10-21_final
2014-10-22 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-10-21_final
2014-10-22 09:27:54	ga_ls8c_ard_3-1-0_091087_2014-10-21_final
2014-10-22 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-10-21_final
2014-10-22 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-10-21_final
2014-11-05 09:35:27	ga_ls8c_ard_3-0-0_093075_2014-11-05_final
2014-11-05 09:35:51	ga_ls8c_ard_3-0-0_093076_2014-11-05_final
2014-11-05 09:36:15	ga_ls8c_ard_3-0-0_093077_2014-11-05_final
2014-11-05 09:36:39	ga_ls8c_ard_3-0-0_093078_2014-11-05_final
2014-11-05 09:37:03	ga_ls8c_ard_3-0-0_093079_2014-11-05_final
2014-11-05 09:37:27	ga_ls8c_ard_3-0-0_093080_2014-11-05_final
2014-11-05 09:37:51	ga_ls8c_ard_3-0-0_093081_2014-11-05_final
2014-11-07 09:26:18	ga_ls8c_ard_3-0-0_091083_2014-11-06_final
2014-11-07 09:26:42	ga_ls8c_ard_3-0-0_091084_2014-11-06_final
2014-11-07 09:27:06	ga_ls8c_ard_3-0-0_091085_2014-11-06_final
2014-11-07 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-11-06_final
2014-11-07 09:27:54	ga_ls8c_ard_3-0-0_091087_2014-11-06_final
2014-11-07 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-11-06_final
2014-11-07 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-11-06_final
2014-11-14 09:30:53	ga_ls8c_ard_3-0-0_092079_2014-11-14_final
2014-11-14 09:31:17	ga_ls8c_ard_3-0-0_092080_2014-11-14_final
2014-11-14 09:31:41	ga_ls8c_ard_3-0-0_092081_2014-11-14_final
2014-11-14 09:32:05	ga_ls8c_ard_3-0-0_092082_2014-11-14_final
2014-11-14 09:32:29	ga_ls8c_ard_3-0-0_092083_2014-11-14_final
2014-11-14 09:32:52	ga_ls8c_ard_3-0-0_092084_2014-11-14_final
2014-11-14 09:33:16	ga_ls8c_ard_3-0-0_092085_2014-11-14_final
2014-11-16 09:21:42	ga_ls8c_ard_3-0-0_090087_2014-11-15_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2014-11-16 09:22:30	ga_ls8c_ard_3-0-0_090089_2014-11-15_final
2014-11-16 09:22:54	ga_ls8c_ard_3-0-0_090090_2014-11-15_final
2014-11-19 09:44:35	ga_ls8c_ard_3-0-0_095067_2014-11-19_final
2014-11-19 09:45:47	ga_ls8c_ard_3-0-0_095070_2014-11-19_final
2014-11-19 09:46:11	ga_ls8c_ard_3-0-0_095071_2014-11-19_final
2014-12-14 09:39:55	ga_ls8c_ard_3-0-0_094071_2014-12-14_final
2014-12-14 09:40:19	ga_ls8c_ard_3-0-0_094072_2014-12-14_final
2014-12-14 09:40:43	ga_ls8c_ard_3-0-0_094073_2014-12-14_final
2014-12-14 09:41:07	ga_ls8c_ard_3-0-0_094074_2014-12-14_final
2014-12-14 09:41:31	ga_ls8c_ard_3-0-0_094075_2014-12-14_final
2014-12-14 09:41:55	ga_ls8c_ard_3-0-0_094076_2014-12-14_final
2014-12-16 09:30:46	ga_ls8c_ard_3-0-0_092079_2014-12-16_final
2014-12-16 09:31:10	ga_ls8c_ard_3-0-0_092080_2014-12-16_final
2014-12-16 09:31:34	ga_ls8c_ard_3-0-0_092081_2014-12-16_final
2014-12-16 09:31:58	ga_ls8c_ard_3-0-0_092082_2014-12-16_final
2014-12-16 09:32:22	ga_ls8c_ard_3-0-0_092083_2014-12-16_final
2014-12-16 09:32:46	ga_ls8c_ard_3-0-0_092084_2014-12-16_final
2014-12-16 09:33:10	ga_ls8c_ard_3-0-0_092085_2014-12-16_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-18 09:22:48	ga_ls8c_ard_3-0-0_090090_2014-12-17_final
2018-02-28 09:21:12	ga_ls8c_ard_3-0-0_090087_2018-02-27_final
2018-02-28 09:21:36	ga_ls8c_ard_3-0-0_090088_2018-02-27_final
2018-02-28 09:22:00	ga_ls8c_ard_3-0-0_090089_2018-02-27_final
2018-02-28 09:22:24	ga_ls8c_ard_3-0-0_090090_2018-02-27_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-19 09:21:39	ga_ls8c_ard_3-0-0_090090_2018-05-18_final
2018-05-19 09:22:03	ga_ls8c_ard_3-0-0_090091_2018-05-18_final
2018-06-23 09:43:23	ga_ls8c_ard_3-0-0_095067_2018-06-23_final
2018-06-23 09:44:35	ga_ls8c_ard_3-0-0_095070_2018-06-23_final
2018-06-23 09:44:59	ga_ls8c_ard_3-0-0_095071_2018-06-23_final
2021-10-07 09:35:38	ga_ls8c_ard_3-2-0_093075_2021-10-07_final
2021-10-07 09:36:02	ga_ls8c_ard_3-2-0_093076_2021-10-07_final
2021-10-07 09:36:26	ga_ls8c_ard_3-2-0_093077_2021-10-07_final
2021-10-07 09:36:50	ga_ls8c_ard_3-2-0_093078_2021-10-07_final
2021-10-07 09:37:14	ga_ls8c_ard_3-2-0_093079_2021-10-07_final
2021-10-07 09:37:38	ga_ls8c_ard_3-2-0_093080_2021-10-07_final
2021-10-07 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-10-07_final
2021-10-09 09:26:28	ga_ls8c_ard_3-2-0_091083_2021-10-08_final
2021-10-09 09:26:52	ga_ls8c_ard_3-2-0_091084_2021-10-08_final
2021-10-09 09:27:16	ga_ls8c_ard_3-2-0_091085_2021-10-08_final
2021-10-09 09:27:40	ga_ls8c_ard_3-2-0_091086_2021-10-08_final
2021-10-09 09:28:04	ga_ls8c_ard_3-2-0_091087_2021-10-08_final
2021-10-09 09:28:28	ga_ls8c_ard_3-2-0_091088_2021-10-08_final
2021-10-11 09:16:55	ga_ls8c_ard_3-2-0_089090_2021-10-10_final
2021-10-14 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-14_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

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