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
2019-07-08 10:15:50	ga_ls8c_ard_3-1-0_099084_2019-07-08_final
2019-07-08 10:16:14	ga_ls8c_ard_3-1-0_099085_2019-07-08_final
2019-08-25 10:16:05	ga_ls8c_ard_3-1-0_099084_2019-08-25_final
2019-09-17 10:20:47	ga_ls8c_ard_3-1-0_100080_2019-09-17_final
2019-09-17 10:21:11	ga_ls8c_ard_3-1-0_100081_2019-09-17_final
2019-09-17 10:21:35	ga_ls8c_ard_3-1-0_100082_2019-09-17_final
2019-09-17 10:21:59	ga_ls8c_ard_3-1-0_100083_2019-09-17_final
2019-09-17 10:22:23	ga_ls8c_ard_3-1-0_100084_2019-09-17_final
2019-09-17 10:22:47	ga_ls8c_ard_3-1-0_100085_2019-09-17_final
2019-10-15 10:40:25	ga_ls8c_ard_3-1-0_104067_2019-10-15_final
2019-10-28 10:16:18	ga_ls8c_ard_3-1-0_099084_2019-10-28_final
2019-10-28 10:16:42	ga_ls8c_ard_3-1-0_099085_2019-10-28_final
2019-11-27 10:25:24	ga_ls8c_ard_3-1-0_101076_2019-11-27_final
2019-11-27 10:25:48	ga_ls8c_ard_3-1-0_101077_2019-11-27_final
2019-11-27 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-11-27_final
2019-11-27 10:26:36	ga_ls8c_ard_3-1-0_101079_2019-11-27_final
2019-11-27 10:27:00	ga_ls8c_ard_3-1-0_101080_2019-11-27_final
2019-11-27 10:27:24	ga_ls8c_ard_3-1-0_101081_2019-11-27_final
2019-12-02 10:40:21	ga_ls8c_ard_3-1-0_104067_2019-12-02_final
2021-01-05 10:40:17	ga_ls8c_ard_3-2-0_104067_2021-01-05_final
2021-01-07 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-01-07_final
2021-01-07 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-01-07_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-01-07 10:30:42	ga_ls8c_ard_3-2-0_102074_2021-01-07_final
2021-01-07 10:31:06	ga_ls8c_ard_3-2-0_102075_2021-01-07_final
2021-01-07 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-01-07_final
2021-01-07 10:31:54	ga_ls8c_ard_3-2-0_102077_2021-01-07_final
2021-02-01 10:25:13	ga_ls8c_ard_3-2-0_101076_2021-02-01_final
2021-02-01 10:25:37	ga_ls8c_ard_3-2-0_101077_2021-02-01_final
2021-02-01 10:26:00	ga_ls8c_ard_3-2-0_101078_2021-02-01_final
2021-02-01 10:26:24	ga_ls8c_ard_3-2-0_101079_2021-02-01_final
2021-02-01 10:26:48	ga_ls8c_ard_3-2-0_101080_2021-02-01_final
2021-02-01 10:27:12	ga_ls8c_ard_3-2-0_101081_2021-02-01_final
2021-02-03 10:16:02	ga_ls8c_ard_3-2-0_099084_2021-02-03_final
2021-02-03 10:16:26	ga_ls8c_ard_3-2-0_099085_2021-02-03_final
2021-04-06 10:26:49	ga_ls8c_ard_3-2-0_101081_2021-04-06_final
2021-04-08 10:15:39	ga_ls8c_ard_3-2-0_099084_2021-04-08_final
2021-04-08 10:16:03	ga_ls8c_ard_3-2-0_099085_2021-04-08_final
2021-08-21 10:20:40	ga_ls8c_ard_3-2-0_100080_2021-08-21_final
2021-08-21 10:21:04	ga_ls8c_ard_3-2-0_100081_2021-08-21_final
2021-08-21 10:21:28	ga_ls8c_ard_3-2-0_100082_2021-08-21_final
2021-08-21 10:21:52	ga_ls8c_ard_3-2-0_100083_2021-08-21_final
2021-08-21 10:22:16	ga_ls8c_ard_3-2-0_100084_2021-08-21_final
2021-08-21 10:22:40	ga_ls8c_ard_3-2-0_100085_2021-08-21_final
2021-08-26 10:34:03	ga_ls8c_ard_3-2-0_103067_2021-08-26_final
2021-08-26 10:34:26	ga_ls8c_ard_3-2-0_103068_2021-08-26_final
2021-08-26 10:34:50	ga_ls8c_ard_3-2-0_103069_2021-08-26_final
2021-08-26 10:35:14	ga_ls8c_ard_3-2-0_103070_2021-08-26_final
2021-08-26 10:35:38	ga_ls8c_ard_3-2-0_103071_2021-08-26_final
2021-08-26 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-08-26_final
2021-08-28 10:24:53	ga_ls8c_ard_3-2-0_101075_2021-08-28_final
2021-08-28 10:25:17	ga_ls8c_ard_3-2-0_101076_2021-08-28_final
2021-08-28 10:25:41	ga_ls8c_ard_3-2-0_101077_2021-08-28_final
2021-08-28 10:26:05	ga_ls8c_ard_3-2-0_101078_2021-08-28_final
2021-08-28 10:26:29	ga_ls8c_ard_3-2-0_101079_2021-08-28_final
2021-08-28 10:26:53	ga_ls8c_ard_3-2-0_101080_2021-08-28_final
2021-08-28 10:27:17	ga_ls8c_ard_3-2-0_101081_2021-08-28_final
2021-08-30 10:16:08	ga_ls8c_ard_3-2-0_099084_2021-08-30_final
2021-08-30 10:16:32	ga_ls8c_ard_3-2-0_099085_2021-08-30_final
2023-02-12 10:40:20	ga_ls8c_ard_3-2-1_104067_2023-02-12_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-02-14 10:29:57	ga_ls8c_ard_3-2-1_102072_2023-02-14_final
2023-02-14 10:30:21	ga_ls8c_ard_3-2-1_102073_2023-02-14_final
2023-02-14 10:30:44	ga_ls8c_ard_3-2-1_102074_2023-02-14_final
2023-02-14 10:31:08	ga_ls8c_ard_3-2-1_102075_2023-02-14_final
2023-02-14 10:31:32	ga_ls8c_ard_3-2-1_102076_2023-02-14_final
2023-02-16 10:20:45	ga_ls8c_ard_3-2-1_100080_2023-02-16_final
2023-02-16 10:21:09	ga_ls8c_ard_3-2-1_100081_2023-02-16_final
2023-02-16 10:21:33	ga_ls8c_ard_3-2-1_100082_2023-02-16_final
2023-02-16 10:21:57	ga_ls8c_ard_3-2-1_100083_2023-02-16_final
2023-02-16 10:22:21	ga_ls8c_ard_3-2-1_100084_2023-02-16_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-02-21 10:34:48	ga_ls8c_ard_3-2-1_103069_2023-02-21_final
2023-02-21 10:35:12	ga_ls8c_ard_3-2-1_103070_2023-02-21_final
2023-02-21 10:35:36	ga_ls8c_ard_3-2-1_103071_2023-02-21_final
2023-02-21 10:36:00	ga_ls8c_ard_3-2-1_103072_2023-02-21_final
2023-03-02 10:31:43	ga_ls8c_ard_3-2-1_102077_2023-03-02_final
2023-03-04 10:20:32	ga_ls8c_ard_3-2-1_100080_2023-03-04_final
2023-03-04 10:20:56	ga_ls8c_ard_3-2-1_100081_2023-03-04_final
2023-03-04 10:21:20	ga_ls8c_ard_3-2-1_100082_2023-03-04_final
2023-03-04 10:21:44	ga_ls8c_ard_3-2-1_100083_2023-03-04_final
2023-03-04 10:22:08	ga_ls8c_ard_3-2-1_100084_2023-03-04_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-09 10:34:37	ga_ls8c_ard_3-2-1_103069_2023-03-09_final
2023-03-09 10:35:01	ga_ls8c_ard_3-2-1_103070_2023-03-09_final
2023-03-09 10:35:25	ga_ls8c_ard_3-2-1_103071_2023-03-09_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-06-01 10:15:13	ga_ls8c_ard_3-2-1_099084_2023-06-01_final
2023-06-01 10:15:37	ga_ls8c_ard_3-2-1_099085_2023-06-01_final
2023-06-04 10:39:22	ga_ls8c_ard_3-2-1_104067_2023-06-04_final
2023-06-06 10:28:38	ga_ls8c_ard_3-2-1_102071_2023-06-06_final
2023-06-06 10:29:02	ga_ls8c_ard_3-2-1_102072_2023-06-06_final
2023-06-06 10:29:26	ga_ls8c_ard_3-2-1_102073_2023-06-06_final
2023-06-06 10:29:50	ga_ls8c_ard_3-2-1_102074_2023-06-06_final
2023-06-06 10:30:14	ga_ls8c_ard_3-2-1_102075_2023-06-06_final
2023-06-06 10:30:38	ga_ls8c_ard_3-2-1_102076_2023-06-06_final
2023-06-08 10:19:54	ga_ls8c_ard_3-2-1_100080_2023-06-08_final
2023-06-08 10:20:18	ga_ls8c_ard_3-2-1_100081_2023-06-08_final
2023-06-08 10:20:42	ga_ls8c_ard_3-2-1_100082_2023-06-08_final
2023-06-08 10:21:06	ga_ls8c_ard_3-2-1_100083_2023-06-08_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