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
2015-08-25 09:52:22	ga_ls8c_ard_3-0-0_096072_2015-08-25_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 09:53:10	ga_ls8c_ard_3-0-0_096074_2015-08-25_final
2015-08-25 09:53:34	ga_ls8c_ard_3-0-0_096075_2015-08-25_final
2015-08-25 09:53:58	ga_ls8c_ard_3-0-0_096076_2015-08-25_final
2015-08-25 09:54:22	ga_ls8c_ard_3-0-0_096077_2015-08-25_final
2015-09-01 09:56:35	ga_ls8c_ard_3-0-0_097067_2015-09-01_final
2015-09-01 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-09-01_final
2015-09-01 09:57:23	ga_ls8c_ard_3-0-0_097069_2015-09-01_final
2015-09-01 09:57:46	ga_ls8c_ard_3-0-0_097070_2015-09-01_final
2015-09-01 09:58:10	ga_ls8c_ard_3-0-0_097071_2015-09-01_final
2015-09-01 09:58:34	ga_ls8c_ard_3-0-0_097072_2015-09-01_final
2015-09-19 09:47:58	ga_ls8c_ard_3-0-0_095076_2015-09-19_final
2015-09-19 09:48:21	ga_ls8c_ard_3-0-0_095077_2015-09-19_final
2015-09-19 09:48:45	ga_ls8c_ard_3-0-0_095078_2015-09-19_final
2015-09-19 09:49:09	ga_ls8c_ard_3-0-0_095079_2015-09-19_final
2015-09-19 09:49:33	ga_ls8c_ard_3-0-0_095080_2015-09-19_final
2015-09-19 09:49:57	ga_ls8c_ard_3-0-0_095081_2015-09-19_final
2015-09-21 09:38:48	ga_ls8c_ard_3-0-0_093084_2015-09-21_final
2015-09-21 09:39:12	ga_ls8c_ard_3-0-0_093085_2015-09-21_final
2015-09-21 09:39:36	ga_ls8c_ard_3-0-0_093086_2015-09-21_final
2015-09-21 09:40:00	ga_ls8c_ard_3-0-0_093087_2015-09-21_final
2015-09-21 09:40:24	ga_ls8c_ard_3-0-0_093088_2015-09-21_final
2015-10-16 09:34:15	ga_ls8c_ard_3-0-0_092088_2015-10-16_final
2015-10-16 09:34:39	ga_ls8c_ard_3-0-0_092089_2015-10-16_final
2015-10-16 09:35:03	ga_ls8c_ard_3-0-0_092090_2015-10-16_final
2015-10-21 09:48:03	ga_ls8c_ard_3-0-0_095076_2015-10-21_final
2015-10-21 09:48:27	ga_ls8c_ard_3-0-0_095077_2015-10-21_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2015-10-21 09:49:15	ga_ls8c_ard_3-0-0_095079_2015-10-21_final
2015-10-23 09:38:54	ga_ls8c_ard_3-0-0_093084_2015-10-23_final
2015-10-23 09:39:18	ga_ls8c_ard_3-0-0_093085_2015-10-23_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-23 09:40:06	ga_ls8c_ard_3-0-0_093087_2015-10-23_final
2015-10-23 09:40:30	ga_ls8c_ard_3-0-0_093088_2015-10-23_final
2015-10-26 10:03:02	ga_ls8c_ard_3-0-0_098067_2015-10-26_final
2015-11-10 09:29:22	ga_ls8c_ard_3-0-0_091091_2015-11-09_final
2015-11-17 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-17_final
2015-11-17 09:34:22	ga_ls8c_ard_3-0-0_092088_2015-11-17_final
2015-11-17 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-17_final
2015-11-17 09:35:10	ga_ls8c_ard_3-0-0_092090_2015-11-17_final
2015-11-20 09:56:55	ga_ls8c_ard_3-0-0_097067_2015-11-20_final
2015-11-20 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-11-20_final
2015-11-20 09:57:42	ga_ls8c_ard_3-0-0_097069_2015-11-20_final
2015-11-20 09:58:06	ga_ls8c_ard_3-0-0_097070_2015-11-20_final
2015-11-20 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-11-20_final
2015-11-20 09:58:54	ga_ls8c_ard_3-0-0_097072_2015-11-20_final
2015-11-26 09:29:25	ga_ls8c_ard_3-0-0_091091_2015-11-25_final
2015-12-06 09:56:54	ga_ls8c_ard_3-0-0_097067_2015-12-06_final
2015-12-06 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-12-06_final
2015-12-06 09:57:42	ga_ls8c_ard_3-0-0_097069_2015-12-06_final
2015-12-06 09:58:06	ga_ls8c_ard_3-0-0_097070_2015-12-06_final
2015-12-06 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-12-06_final
2015-12-06 09:58:54	ga_ls8c_ard_3-0-0_097072_2015-12-06_final
2015-12-08 09:48:07	ga_ls8c_ard_3-0-0_095076_2015-12-08_final
2015-12-08 09:48:31	ga_ls8c_ard_3-0-0_095077_2015-12-08_final
2015-12-08 09:48:55	ga_ls8c_ard_3-0-0_095078_2015-12-08_final
2015-12-08 09:49:19	ga_ls8c_ard_3-0-0_095079_2015-12-08_final
2015-12-08 09:49:43	ga_ls8c_ard_3-0-0_095080_2015-12-08_final
2015-12-08 09:50:07	ga_ls8c_ard_3-0-0_095081_2015-12-08_final
2015-12-10 09:38:57	ga_ls8c_ard_3-0-0_093084_2015-12-10_final
2015-12-10 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-12-10_final
2015-12-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2015-12-10_final
2015-12-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2015-12-10_final
2015-12-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-12-10_final
2015-12-12 09:29:23	ga_ls8c_ard_3-0-0_091091_2015-12-11_final
2015-12-13 10:03:04	ga_ls8c_ard_3-0-0_098067_2015-12-13_final
2015-12-15 09:52:43	ga_ls8c_ard_3-0-0_096072_2015-12-15_final
2015-12-15 09:53:07	ga_ls8c_ard_3-0-0_096073_2015-12-15_final
2015-12-15 09:53:31	ga_ls8c_ard_3-0-0_096074_2015-12-15_final
2015-12-15 09:53:55	ga_ls8c_ard_3-0-0_096075_2015-12-15_final
2015-12-15 09:54:18	ga_ls8c_ard_3-0-0_096076_2015-12-15_final
2015-12-15 09:54:42	ga_ls8c_ard_3-0-0_096077_2015-12-15_final
2018-09-22 09:33:54	ga_ls8c_ard_3-0-0_092088_2018-09-22_final
2018-09-22 09:34:18	ga_ls8c_ard_3-0-0_092089_2018-09-22_final
2018-09-22 09:34:42	ga_ls8c_ard_3-0-0_092090_2018-09-22_final
2018-09-25 09:56:27	ga_ls8c_ard_3-0-0_097067_2018-09-25_final
2018-09-25 09:56:51	ga_ls8c_ard_3-0-0_097068_2018-09-25_final
2018-09-25 09:57:15	ga_ls8c_ard_3-0-0_097069_2018-09-25_final
2018-09-25 09:57:39	ga_ls8c_ard_3-0-0_097070_2018-09-25_final
2018-09-25 09:58:03	ga_ls8c_ard_3-0-0_097071_2018-09-25_final
2018-09-25 09:58:27	ga_ls8c_ard_3-0-0_097072_2018-09-25_final
2021-05-07 09:44:30	ga_ls8c_ard_3-2-0_094084_2021-05-07_final
2021-05-07 09:44:54	ga_ls8c_ard_3-2-0_094085_2021-05-07_final
2021-05-09 09:33:22	ga_ls8c_ard_3-2-0_092087_2021-05-09_final
2021-05-09 09:33:46	ga_ls8c_ard_3-2-0_092088_2021-05-09_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-05-09 09:34:34	ga_ls8c_ard_3-2-0_092090_2021-05-09_final
2021-07-24 09:52:34	ga_ls8c_ard_3-2-0_096072_2021-07-24_final
2021-07-24 09:52:58	ga_ls8c_ard_3-2-0_096073_2021-07-24_final
2021-07-24 09:53:22	ga_ls8c_ard_3-2-0_096074_2021-07-24_final
2021-07-24 09:53:46	ga_ls8c_ard_3-2-0_096075_2021-07-24_final
2021-07-24 09:54:10	ga_ls8c_ard_3-2-0_096076_2021-07-24_final
2021-07-24 09:54:34	ga_ls8c_ard_3-2-0_096077_2021-07-24_final
2021-07-26 09:43:25	ga_ls8c_ard_3-2-0_094080_2021-07-26_final
2021-07-26 09:43:49	ga_ls8c_ard_3-2-0_094081_2021-07-26_final
2021-07-26 09:44:13	ga_ls8c_ard_3-2-0_094082_2021-07-26_final
2021-07-26 09:44:37	ga_ls8c_ard_3-2-0_094083_2021-07-26_final
2021-07-26 09:45:01	ga_ls8c_ard_3-2-0_094084_2021-07-26_final
2021-07-26 09:45:25	ga_ls8c_ard_3-2-0_094085_2021-07-26_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