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
2019-07-21 09:43:23	ga_ls8c_ard_3-1-0_094080_2019-07-21_final
2019-07-21 09:43:47	ga_ls8c_ard_3-1-0_094081_2019-07-21_final
2019-07-21 09:44:11	ga_ls8c_ard_3-1-0_094082_2019-07-21_final
2019-07-21 09:44:35	ga_ls8c_ard_3-1-0_094083_2019-07-21_final
2019-07-21 09:44:59	ga_ls8c_ard_3-1-0_094084_2019-07-21_final
2019-07-21 09:45:23	ga_ls8c_ard_3-1-0_094085_2019-07-21_final
2019-07-21 09:45:47	ga_ls8c_ard_3-1-0_094086_2019-07-21_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-23 09:35:02	ga_ls8c_ard_3-1-0_092090_2019-07-23_final
2019-08-06 09:43:30	ga_ls8c_ard_3-1-0_094080_2019-08-06_final
2019-08-06 09:43:54	ga_ls8c_ard_3-1-0_094081_2019-08-06_final
2019-08-06 09:44:18	ga_ls8c_ard_3-1-0_094082_2019-08-06_final
2019-08-06 09:44:42	ga_ls8c_ard_3-1-0_094083_2019-08-06_final
2019-08-06 09:45:06	ga_ls8c_ard_3-1-0_094084_2019-08-06_final
2019-08-06 09:45:30	ga_ls8c_ard_3-1-0_094085_2019-08-06_final
2019-08-06 09:45:54	ga_ls8c_ard_3-1-0_094086_2019-08-06_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-08 09:34:21	ga_ls8c_ard_3-1-0_092088_2019-08-08_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_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
2021-01-06 09:50:14	ga_ls8c_ard_3-2-0_095081_2021-01-06_final
2021-03-06 09:34:11	ga_ls8c_ard_3-2-0_092088_2021-03-06_final
2021-03-06 09:34:35	ga_ls8c_ard_3-2-0_092089_2021-03-06_final
2021-03-06 09:34:59	ga_ls8c_ard_3-2-0_092090_2021-03-06_final
2021-03-09 09:56:41	ga_ls8c_ard_3-2-0_097067_2021-03-09_final
2021-03-09 09:57:05	ga_ls8c_ard_3-2-0_097068_2021-03-09_final
2021-03-09 09:57:29	ga_ls8c_ard_3-2-0_097069_2021-03-09_final
2021-03-09 09:57:53	ga_ls8c_ard_3-2-0_097070_2021-03-09_final
2021-03-09 09:58:17	ga_ls8c_ard_3-2-0_097071_2021-03-09_final
2021-03-09 09:58:41	ga_ls8c_ard_3-2-0_097072_2021-03-09_final
2021-03-11 09:47:54	ga_ls8c_ard_3-2-0_095076_2021-03-11_final
2021-03-11 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-03-11_final
2021-03-11 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-03-11_final
2021-03-11 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-03-11_final
2021-03-11 09:49:29	ga_ls8c_ard_3-2-0_095080_2021-03-11_final
2021-03-11 09:49:53	ga_ls8c_ard_3-2-0_095081_2021-03-11_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-03-13 09:38:42	ga_ls8c_ard_3-2-0_093084_2021-03-13_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-03-13 09:40:18	ga_ls8c_ard_3-2-0_093088_2021-03-13_final
2021-03-15 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-03-14_final
2021-03-16 10:02:23	ga_ls8c_ard_3-2-1_098066_2021-03-16_final
2021-03-16 10:02:47	ga_ls8c_ard_3-2-0_098067_2021-03-16_final
2021-03-16 10:03:11	ga_ls8c_ard_3-2-0_098068_2021-03-16_final
2021-03-18 09:52:24	ga_ls8c_ard_3-2-0_096072_2021-03-18_final
2021-03-18 09:52:48	ga_ls8c_ard_3-2-0_096073_2021-03-18_final
2021-03-18 09:53:12	ga_ls8c_ard_3-2-0_096074_2021-03-18_final
2021-03-18 09:53:36	ga_ls8c_ard_3-2-0_096075_2021-03-18_final
2021-03-18 09:54:00	ga_ls8c_ard_3-2-0_096076_2021-03-18_final
2021-03-18 09:54:24	ga_ls8c_ard_3-2-0_096077_2021-03-18_final
2021-05-18 09:28:53	ga_ls8c_ard_3-2-0_091091_2021-05-17_final
2021-05-19 10:02:11	ga_ls8c_ard_3-2-1_098066_2021-05-19_final
2021-05-19 10:02:35	ga_ls8c_ard_3-2-0_098067_2021-05-19_final
2021-05-28 09:56:29	ga_ls8c_ard_3-2-0_097067_2021-05-28_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-05-28 09:57:17	ga_ls8c_ard_3-2-0_097069_2021-05-28_final
2021-05-28 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-05-28_final
2021-05-28 09:58:05	ga_ls8c_ard_3-2-0_097071_2021-05-28_final
2021-05-28 09:58:28	ga_ls8c_ard_3-2-0_097072_2021-05-28_final
2021-05-30 09:47:44	ga_ls8c_ard_3-2-0_095076_2021-05-30_final
2021-05-30 09:48:08	ga_ls8c_ard_3-2-0_095077_2021-05-30_final
2021-05-30 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-05-30_final
2021-05-30 09:48:55	ga_ls8c_ard_3-2-0_095079_2021-05-30_final
2021-05-30 09:49:19	ga_ls8c_ard_3-2-0_095080_2021-05-30_final
2021-05-30 09:49:43	ga_ls8c_ard_3-2-0_095081_2021-05-30_final
2023-12-05 09:52:42	ga_ls8c_ard_3-2-1_096072_2023-12-05_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-05 09:53:30	ga_ls8c_ard_3-2-1_096074_2023-12-05_final
2023-12-05 09:53:54	ga_ls8c_ard_3-2-1_096075_2023-12-05_final
2023-12-05 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-12-05_final
2023-12-05 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-12-05_final
2023-12-07 09:43:30	ga_ls8c_ard_3-2-1_094080_2023-12-07_final
2023-12-07 09:43:54	ga_ls8c_ard_3-2-1_094081_2023-12-07_final
2023-12-07 09:44:18	ga_ls8c_ard_3-2-1_094082_2023-12-07_final
2023-12-07 09:44:42	ga_ls8c_ard_3-2-1_094083_2023-12-07_final
2023-12-07 09:45:06	ga_ls8c_ard_3-2-1_094084_2023-12-07_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-07 09:45:54	ga_ls8c_ard_3-2-1_094086_2023-12-07_final
2023-12-09 09:33:58	ga_ls8c_ard_3-2-1_092087_2023-12-09_final
2023-12-09 09:34:22	ga_ls8c_ard_3-2-1_092088_2023-12-09_final
2023-12-09 09:34:46	ga_ls8c_ard_3-2-1_092089_2023-12-09_final
2023-12-09 09:35:10	ga_ls8c_ard_3-2-1_092090_2023-12-09_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
2023-12-21 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-12-21_final
2023-12-21 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-12-21_final
2023-12-21 09:53:12	ga_ls8c_ard_3-2-1_096073_2023-12-21_final
2023-12-21 09:53:36	ga_ls8c_ard_3-2-1_096074_2023-12-21_final
2023-12-21 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-12-21_final
2023-12-21 09:54:24	ga_ls8c_ard_3-2-1_096076_2023-12-21_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