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
2019-06-19 09:43:40	ga_ls8c_ard_3-1-0_094081_2019-06-19_final
2019-06-19 09:44:04	ga_ls8c_ard_3-1-0_094082_2019-06-19_final
2019-06-19 09:44:28	ga_ls8c_ard_3-1-0_094083_2019-06-19_final
2019-06-19 09:44:52	ga_ls8c_ard_3-1-0_094084_2019-06-19_final
2019-06-19 09:45:15	ga_ls8c_ard_3-1-0_094085_2019-06-19_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-06-21 09:34:06	ga_ls8c_ard_3-1-0_092088_2019-06-21_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-06-21 09:34:54	ga_ls8c_ard_3-1-0_092090_2019-06-21_final
2019-07-05 09:43:44	ga_ls8c_ard_3-1-0_094081_2019-07-05_final
2019-07-05 09:44:08	ga_ls8c_ard_3-1-0_094082_2019-07-05_final
2019-07-05 09:44:32	ga_ls8c_ard_3-1-0_094083_2019-07-05_final
2019-07-05 09:44:56	ga_ls8c_ard_3-1-0_094084_2019-07-05_final
2019-07-05 09:45:20	ga_ls8c_ard_3-1-0_094085_2019-07-05_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-07 09:34:10	ga_ls8c_ard_3-1-0_092088_2019-07-07_final
2019-07-07 09:34:34	ga_ls8c_ard_3-1-0_092089_2019-07-07_final
2019-07-07 09:34:58	ga_ls8c_ard_3-1-0_092090_2019-07-07_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 09:34:21	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
2019-10-09 09:44:12	ga_ls8c_ard_3-1-0_094081_2019-10-09_final
2019-10-09 09:44:36	ga_ls8c_ard_3-1-0_094082_2019-10-09_final
2019-10-09 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-10-09_final
2019-10-09 09:45:23	ga_ls8c_ard_3-1-0_094084_2019-10-09_final
2019-10-09 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-10-09_final
2019-10-09 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-10-09_final
2019-10-11 09:34:38	ga_ls8c_ard_3-1-0_092088_2019-10-11_final
2019-10-11 09:35:02	ga_ls8c_ard_3-1-0_092089_2019-10-11_final
2019-10-11 09:35:26	ga_ls8c_ard_3-1-0_092090_2019-10-11_final
2020-10-06 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-10-05_final
2020-10-13 09:34:35	ga_ls8c_ard_3-1-0_092088_2020-10-13_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-13 09:35:23	ga_ls8c_ard_3-1-0_092090_2020-10-13_final
2020-10-16 09:57:06	ga_ls8c_ard_3-1-0_097067_2020-10-16_final
2020-10-16 09:57:30	ga_ls8c_ard_3-1-0_097068_2020-10-16_final
2020-10-16 09:57:54	ga_ls8c_ard_3-1-0_097069_2020-10-16_final
2020-10-16 09:58:18	ga_ls8c_ard_3-1-0_097070_2020-10-16_final
2020-10-16 09:58:42	ga_ls8c_ard_3-1-0_097071_2020-10-16_final
2020-10-16 09:59:06	ga_ls8c_ard_3-1-0_097072_2020-10-16_final
2020-10-16 09:59:30	ga_ls8c_ard_3-1-0_097073_2020-10-16_final
2020-10-22 09:29:36	ga_ls8c_ard_3-1-0_091091_2020-10-21_final
2020-12-03 09:57:07	ga_ls8c_ard_3-1-0_097067_2020-12-03_final
2020-12-03 09:57:31	ga_ls8c_ard_3-1-0_097068_2020-12-03_final
2020-12-03 09:57:55	ga_ls8c_ard_3-1-0_097069_2020-12-03_final
2020-12-03 09:58:19	ga_ls8c_ard_3-1-0_097070_2020-12-03_final
2020-12-03 09:58:43	ga_ls8c_ard_3-1-0_097071_2020-12-03_final
2020-12-03 09:59:07	ga_ls8c_ard_3-1-0_097072_2020-12-03_final
2020-12-03 09:59:31	ga_ls8c_ard_3-1-0_097073_2020-12-03_final
2020-12-12 09:52:56	ga_ls8c_ard_3-1-0_096072_2020-12-12_final
2020-12-12 09:53:20	ga_ls8c_ard_3-1-0_096073_2020-12-12_final
2020-12-12 09:53:44	ga_ls8c_ard_3-1-0_096074_2020-12-12_final
2020-12-12 09:54:08	ga_ls8c_ard_3-1-0_096075_2020-12-12_final
2020-12-12 09:54:32	ga_ls8c_ard_3-1-0_096076_2020-12-12_final
2020-12-12 09:54:56	ga_ls8c_ard_3-1-0_096077_2020-12-12_final
2020-12-12 09:55:20	ga_ls8c_ard_3-1-0_096078_2020-12-12_final
2020-12-14 09:44:10	ga_ls8c_ard_3-1-0_094081_2020-12-14_final
2020-12-14 09:44:34	ga_ls8c_ard_3-1-0_094082_2020-12-14_final
2020-12-14 09:44:58	ga_ls8c_ard_3-1-0_094083_2020-12-14_final
2020-12-14 09:45:22	ga_ls8c_ard_3-1-0_094084_2020-12-14_final
2020-12-14 09:45:46	ga_ls8c_ard_3-1-0_094085_2020-12-14_final
2020-12-14 09:46:10	ga_ls8c_ard_3-1-0_094086_2020-12-14_final
2021-02-14 09:52:40	ga_ls8c_ard_3-2-0_096072_2021-02-14_final
2021-02-14 09:53:04	ga_ls8c_ard_3-2-0_096073_2021-02-14_final
2021-02-14 09:53:28	ga_ls8c_ard_3-2-0_096074_2021-02-14_final
2021-02-14 09:53:52	ga_ls8c_ard_3-2-0_096075_2021-02-14_final
2021-02-14 09:54:16	ga_ls8c_ard_3-2-0_096076_2021-02-14_final
2021-02-14 09:54:40	ga_ls8c_ard_3-2-0_096077_2021-02-14_final
2021-02-14 09:55:04	ga_ls8c_ard_3-2-0_096078_2021-02-14_final
2021-02-16 09:43:53	ga_ls8c_ard_3-2-0_094081_2021-02-16_final
2021-02-16 09:44:17	ga_ls8c_ard_3-2-0_094082_2021-02-16_final
2021-02-16 09:44:41	ga_ls8c_ard_3-2-0_094083_2021-02-16_final
2021-02-16 09:45:05	ga_ls8c_ard_3-2-0_094084_2021-02-16_final
2021-02-16 09:45:29	ga_ls8c_ard_3-2-0_094085_2021-02-16_final
2021-02-16 09:45:53	ga_ls8c_ard_3-2-0_094086_2021-02-16_final
2021-02-21 09:56:49	ga_ls8c_ard_3-2-0_097067_2021-02-21_final
2021-02-21 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-02-21_final
2021-02-21 09:57:37	ga_ls8c_ard_3-2-0_097069_2021-02-21_final
2021-02-21 09:58:01	ga_ls8c_ard_3-2-0_097070_2021-02-21_final
2021-02-21 09:58:24	ga_ls8c_ard_3-2-0_097071_2021-02-21_final
2021-02-21 09:58:48	ga_ls8c_ard_3-2-0_097072_2021-02-21_final
2021-02-21 09:59:12	ga_ls8c_ard_3-2-0_097073_2021-02-21_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-10-21 09:48:50	ga_ls8c_ard_3-2-0_095077_2021-10-21_final
2021-10-21 09:49:14	ga_ls8c_ard_3-2-0_095078_2021-10-21_final
2021-10-21 09:49:38	ga_ls8c_ard_3-2-0_095079_2021-10-21_final
2021-10-21 09:50:02	ga_ls8c_ard_3-2-0_095080_2021-10-21_final
2021-10-21 09:50:26	ga_ls8c_ard_3-2-0_095081_2021-10-21_final
2021-10-21 09:50:50	ga_ls8c_ard_3-2-0_095082_2021-10-21_final
2021-10-23 09:39:16	ga_ls8c_ard_3-2-0_093084_2021-10-23_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-10-23 09:40:04	ga_ls8c_ard_3-2-0_093086_2021-10-23_final
2021-10-23 09:40:28	ga_ls8c_ard_3-2-0_093087_2021-10-23_final
2021-10-23 09:40:52	ga_ls8c_ard_3-2-0_093088_2021-10-23_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