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
2013-05-15 09:53:45	ga_ls8c_ard_3-0-0_096070_2013-05-15_final
2013-05-15 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-05-15_final
2013-05-15 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-05-15_final
2013-05-15 09:54:57	ga_ls8c_ard_3-0-0_096073_2013-05-15_final
2013-05-15 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-05-15_final
2013-05-15 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-05-15_final
2013-10-06 09:53:40	ga_ls8c_ard_3-0-0_096070_2013-10-06_final
2013-10-06 09:54:04	ga_ls8c_ard_3-0-0_096071_2013-10-06_final
2013-10-06 09:54:28	ga_ls8c_ard_3-0-0_096072_2013-10-06_final
2013-10-06 09:54:52	ga_ls8c_ard_3-0-0_096073_2013-10-06_final
2013-10-08 09:46:54	ga_ls8c_ard_3-0-0_094084_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-06 09:47:51	ga_ls8c_ard_3-2-0_095075_2021-01-06_final
2021-01-06 09:48:15	ga_ls8c_ard_3-2-0_095076_2021-01-06_final
2021-01-06 09:48:39	ga_ls8c_ard_3-2-0_095077_2021-01-06_final
2021-01-06 09:49:03	ga_ls8c_ard_3-2-0_095078_2021-01-06_final
2021-01-06 09:49:27	ga_ls8c_ard_3-2-0_095079_2021-01-06_final
2021-01-06 09:49:51	ga_ls8c_ard_3-2-0_095080_2021-01-06_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-02-02 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-02-02_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-02 09:34:46	ga_ls8c_ard_3-2-0_092089_2021-02-02_final
2021-02-02 09:35:10	ga_ls8c_ard_3-2-0_092090_2021-02-02_final
2021-03-27 09:47:00	ga_ls8c_ard_3-2-0_095074_2021-03-27_final
2021-03-27 09:47:24	ga_ls8c_ard_3-2-0_095075_2021-03-27_final
2021-03-27 09:48:12	ga_ls8c_ard_3-2-0_095077_2021-03-27_final
2021-03-27 09:48:36	ga_ls8c_ard_3-2-0_095078_2021-03-27_final
2021-03-27 09:49:00	ga_ls8c_ard_3-2-0_095079_2021-03-27_final
2021-03-27 09:49:23	ga_ls8c_ard_3-2-0_095080_2021-03-27_final
2021-03-29 09:38:13	ga_ls8c_ard_3-2-0_093083_2021-03-29_final
2021-03-29 09:38:37	ga_ls8c_ard_3-2-0_093084_2021-03-29_final
2021-03-29 09:39:01	ga_ls8c_ard_3-2-0_093085_2021-03-29_final
2021-03-29 09:39:25	ga_ls8c_ard_3-2-0_093086_2021-03-29_final
2021-03-29 09:39:49	ga_ls8c_ard_3-2-0_093087_2021-03-29_final
2021-03-29 09:40:13	ga_ls8c_ard_3-2-0_093088_2021-03-29_final
2021-04-01 10:02:20	ga_ls8c_ard_3-2-1_098066_2021-04-01_final
2021-04-07 09:33:12	ga_ls8c_ard_3-2-0_092086_2021-04-07_final
2021-04-07 09:33:36	ga_ls8c_ard_3-2-0_092087_2021-04-07_final
2021-04-07 09:33:59	ga_ls8c_ard_3-2-0_092088_2021-04-07_final
2021-04-07 09:34:23	ga_ls8c_ard_3-2-0_092089_2021-04-07_final
2021-04-07 09:34:47	ga_ls8c_ard_3-2-0_092090_2021-04-07_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-10 09:56:54	ga_ls8c_ard_3-2-0_097068_2021-04-10_final
2021-04-10 09:57:18	ga_ls8c_ard_3-2-0_097069_2021-04-10_final
2021-04-10 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-04-10_final
2021-04-10 09:58:05	ga_ls8c_ard_3-2-0_097071_2021-04-10_final
2023-11-26 09:57:01	ga_ls8c_ard_3-2-1_097067_2023-11-26_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-11-26 09:57:49	ga_ls8c_ard_3-2-1_097069_2023-11-26_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2023-11-28 09:47:26	ga_ls8c_ard_3-2-1_095074_2023-11-28_final
2023-11-28 09:47:50	ga_ls8c_ard_3-2-1_095075_2023-11-28_final
2023-11-28 09:48:14	ga_ls8c_ard_3-2-1_095076_2023-11-28_final
2023-11-28 09:48:38	ga_ls8c_ard_3-2-1_095077_2023-11-28_final
2023-11-28 09:49:02	ga_ls8c_ard_3-2-1_095078_2023-11-28_final
2023-11-28 09:49:26	ga_ls8c_ard_3-2-1_095079_2023-11-28_final
2023-11-28 09:49:50	ga_ls8c_ard_3-2-1_095080_2023-11-28_final
2023-11-30 09:38:39	ga_ls8c_ard_3-2-1_093083_2023-11-30_final
2023-11-30 09:39:03	ga_ls8c_ard_3-2-1_093084_2023-11-30_final
2023-11-30 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-11-30_final
2023-11-30 09:39:51	ga_ls8c_ard_3-2-1_093086_2023-11-30_final
2023-11-30 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-11-30_final
2023-11-30 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-11-30_final
2023-12-02 09:28:39	ga_ls8c_ard_3-2-1_091089_2023-12-01_final
2023-12-02 09:29:03	ga_ls8c_ard_3-2-1_091090_2023-12-01_final
2023-12-03 10:02:43	ga_ls8c_ard_3-2-1_098066_2023-12-03_final
2023-12-12 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-12-12_final
2023-12-12 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-12-12_final
2023-12-12 09:57:43	ga_ls8c_ard_3-2-1_097069_2023-12-12_final
2023-12-12 09:58:07	ga_ls8c_ard_3-2-1_097070_2023-12-12_final
2023-12-12 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-12-12_final
2023-12-14 09:47:23	ga_ls8c_ard_3-2-1_095074_2023-12-14_final
2023-12-14 09:47:47	ga_ls8c_ard_3-2-1_095075_2023-12-14_final
2023-12-14 09:48:11	ga_ls8c_ard_3-2-1_095076_2023-12-14_final
2023-12-14 09:48:35	ga_ls8c_ard_3-2-1_095077_2023-12-14_final
2023-12-14 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-12-14_final
2023-12-14 09:49:22	ga_ls8c_ard_3-2-1_095079_2023-12-14_final
2023-12-14 09:49:46	ga_ls8c_ard_3-2-1_095080_2023-12-14_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-16 09:39:02	ga_ls8c_ard_3-2-1_093084_2023-12-16_final
2023-12-16 09:39:26	ga_ls8c_ard_3-2-1_093085_2023-12-16_final
2023-12-16 09:39:50	ga_ls8c_ard_3-2-1_093086_2023-12-16_final
2023-12-16 09:40:14	ga_ls8c_ard_3-2-1_093087_2023-12-16_final
2023-12-16 09:40:37	ga_ls8c_ard_3-2-1_093088_2023-12-16_final
2023-12-18 09:28:41	ga_ls8c_ard_3-2-1_091089_2023-12-17_final
2023-12-18 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-12-17_final
2023-12-19 10:02:46	ga_ls8c_ard_3-2-1_098066_2023-12-19_final
2023-12-23 09:43:14	ga_ls8c_ard_3-2-1_094079_2023-12-23_final
2023-12-23 09:43:38	ga_ls8c_ard_3-2-1_094080_2023-12-23_final
2023-12-23 09:44:02	ga_ls8c_ard_3-2-1_094081_2023-12-23_final
2023-12-23 09:44:26	ga_ls8c_ard_3-2-1_094082_2023-12-23_final
2023-12-23 09:44:50	ga_ls8c_ard_3-2-1_094083_2023-12-23_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-28 09:56:57	ga_ls8c_ard_3-2-1_097067_2023-12-28_final
2023-12-28 09:57:21	ga_ls8c_ard_3-2-1_097068_2023-12-28_final
2023-12-28 09:57:45	ga_ls8c_ard_3-2-1_097069_2023-12-28_final
2023-12-28 09:58:09	ga_ls8c_ard_3-2-1_097070_2023-12-28_final
2024-01-03 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-02_final
2024-01-03 09:28:58	ga_ls8c_ard_3-2-1_091090_2024-01-02_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