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
2015-08-27 09:44:24	ga_ls8c_ard_3-0-0_094083_2015-08-27_final
2015-08-27 09:44:48	ga_ls8c_ard_3-0-0_094084_2015-08-27_final
2015-08-27 09:45:12	ga_ls8c_ard_3-0-0_094085_2015-08-27_final
2015-08-27 09:45:36	ga_ls8c_ard_3-0-0_094086_2015-08-27_final
2015-08-27 09:46:00	ga_ls8c_ard_3-0-0_094087_2015-08-27_final
2015-08-27 09:46:24	ga_ls8c_ard_3-0-0_094088_2015-08-27_final
2015-08-29 09:34:51	ga_ls8c_ard_3-0-0_092090_2015-08-29_final
2015-10-10 10:02:58	ga_ls8c_ard_3-0-0_098067_2015-10-10_final
2015-10-10 10:03:22	ga_ls8c_ard_3-0-0_098068_2015-10-10_final
2015-10-10 10:03:46	ga_ls8c_ard_3-0-0_098069_2015-10-10_final
2015-10-10 10:04:10	ga_ls8c_ard_3-0-0_098070_2015-10-10_final
2015-10-10 10:04:34	ga_ls8c_ard_3-0-0_098071_2015-10-10_final
2015-12-17 09:44:45	ga_ls8c_ard_3-0-0_094083_2015-12-17_final
2015-12-17 09:45:09	ga_ls8c_ard_3-0-0_094084_2015-12-17_final
2015-12-17 09:45:33	ga_ls8c_ard_3-0-0_094085_2015-12-17_final
2015-12-17 09:45:57	ga_ls8c_ard_3-0-0_094086_2015-12-17_final
2015-12-17 09:46:21	ga_ls8c_ard_3-0-0_094087_2015-12-17_final
2015-12-17 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-17_final
2015-12-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-19_final
2019-01-26 09:44:24	ga_ls8c_ard_3-0-0_094083_2019-01-26_final
2019-01-26 09:44:48	ga_ls8c_ard_3-0-0_094084_2019-01-26_final
2019-01-26 09:45:12	ga_ls8c_ard_3-0-0_094085_2019-01-26_final
2019-01-26 09:45:36	ga_ls8c_ard_3-0-0_094086_2019-01-26_final
2019-01-26 09:46:00	ga_ls8c_ard_3-0-0_094087_2019-01-26_final
2019-01-26 09:46:24	ga_ls8c_ard_3-0-0_094088_2019-01-26_final
2019-02-16 09:58:06	ga_ls8c_ard_3-0-0_097071_2019-02-16_final
2019-02-16 09:58:30	ga_ls8c_ard_3-0-0_097072_2019-02-16_final
2019-02-16 09:58:54	ga_ls8c_ard_3-0-0_097073_2019-02-16_final
2019-02-16 09:59:18	ga_ls8c_ard_3-0-0_097074_2019-02-16_final
2019-02-16 09:59:42	ga_ls8c_ard_3-0-0_097075_2019-02-16_final
2019-02-16 10:00:06	ga_ls8c_ard_3-0-0_097076_2019-02-16_final
2019-02-25 09:53:29	ga_ls8c_ard_3-0-0_096075_2019-02-25_final
2019-02-25 09:53:53	ga_ls8c_ard_3-0-0_096076_2019-02-25_final
2019-02-25 09:54:17	ga_ls8c_ard_3-0-0_096077_2019-02-25_final
2019-02-25 09:54:41	ga_ls8c_ard_3-0-0_096078_2019-02-25_final
2019-02-25 09:55:05	ga_ls8c_ard_3-0-0_096079_2019-02-25_final
2019-02-25 09:55:29	ga_ls8c_ard_3-0-0_096080_2019-02-25_final
2019-02-25 09:55:53	ga_ls8c_ard_3-0-0_096081_2019-02-25_final
2019-02-27 09:44:18	ga_ls8c_ard_3-0-0_094083_2019-02-27_final
2019-02-27 09:44:42	ga_ls8c_ard_3-0-0_094084_2019-02-27_final
2019-02-27 09:45:06	ga_ls8c_ard_3-0-0_094085_2019-02-27_final
2019-02-27 09:45:30	ga_ls8c_ard_3-0-0_094086_2019-02-27_final
2019-02-27 09:45:54	ga_ls8c_ard_3-0-0_094087_2019-02-27_final
2019-02-27 09:46:18	ga_ls8c_ard_3-0-0_094088_2019-02-27_final
2019-03-20 09:57:57	ga_ls8c_ard_3-1-0_097071_2019-03-20_final
2019-03-20 09:58:21	ga_ls8c_ard_3-1-0_097072_2019-03-20_final
2019-03-20 09:58:45	ga_ls8c_ard_3-1-0_097073_2019-03-20_final
2019-03-20 09:59:09	ga_ls8c_ard_3-1-0_097074_2019-03-20_final
2019-03-20 09:59:33	ga_ls8c_ard_3-1-0_097075_2019-03-20_final
2019-03-20 09:59:57	ga_ls8c_ard_3-1-0_097076_2019-03-20_final
2019-05-07 09:57:51	ga_ls8c_ard_3-0-0_097071_2019-05-07_final
2019-05-07 09:58:15	ga_ls8c_ard_3-0-0_097072_2019-05-07_final
2019-05-07 09:58:39	ga_ls8c_ard_3-0-0_097073_2019-05-07_final
2019-05-07 09:59:02	ga_ls8c_ard_3-0-0_097074_2019-05-07_final
2019-05-07 09:59:26	ga_ls8c_ard_3-0-0_097075_2019-05-07_final
2019-05-07 09:59:50	ga_ls8c_ard_3-0-0_097076_2019-05-07_final
2019-06-26 09:49:05	ga_ls8c_ard_3-1-0_095079_2019-06-26_final
2019-06-26 09:49:29	ga_ls8c_ard_3-1-0_095080_2019-06-26_final
2019-06-26 09:49:53	ga_ls8c_ard_3-1-0_095081_2019-06-26_final
2019-06-26 09:50:17	ga_ls8c_ard_3-1-0_095082_2019-06-26_final
2019-06-26 09:50:40	ga_ls8c_ard_3-1-0_095083_2019-06-26_final
2019-06-26 09:51:04	ga_ls8c_ard_3-1-0_095084_2019-06-26_final
2019-06-26 09:51:28	ga_ls8c_ard_3-1-0_095085_2019-06-26_final
2019-06-28 09:39:55	ga_ls8c_ard_3-1-0_093087_2019-06-28_final
2019-06-28 09:40:19	ga_ls8c_ard_3-1-0_093088_2019-06-28_final
2019-08-13 09:49:19	ga_ls8c_ard_3-1-0_095079_2019-08-13_final
2019-08-13 09:49:43	ga_ls8c_ard_3-1-0_095080_2019-08-13_final
2019-08-13 09:50:07	ga_ls8c_ard_3-1-0_095081_2019-08-13_final
2019-08-13 09:50:31	ga_ls8c_ard_3-1-0_095082_2019-08-13_final
2019-08-13 09:50:55	ga_ls8c_ard_3-1-0_095083_2019-08-13_final
2019-08-15 09:40:10	ga_ls8c_ard_3-1-0_093087_2019-08-15_final
2019-08-15 09:40:34	ga_ls8c_ard_3-1-0_093088_2019-08-15_final
2019-08-27 09:58:33	ga_ls8c_ard_3-1-0_097071_2019-08-27_final
2019-08-27 09:58:57	ga_ls8c_ard_3-1-0_097072_2019-08-27_final
2019-08-27 09:59:21	ga_ls8c_ard_3-1-0_097073_2019-08-27_final
2019-08-27 09:59:45	ga_ls8c_ard_3-1-0_097074_2019-08-27_final
2019-08-27 10:00:09	ga_ls8c_ard_3-1-0_097075_2019-08-27_final
2019-08-27 10:00:33	ga_ls8c_ard_3-1-0_097076_2019-08-27_final
2019-09-26 10:09:04	ga_ls8c_ard_3-2-1_099066_2019-09-26_final
2019-09-28 09:58:42	ga_ls8c_ard_3-1-0_097071_2019-09-28_final
2019-09-28 09:59:06	ga_ls8c_ard_3-1-0_097072_2019-09-28_final
2019-09-28 09:59:30	ga_ls8c_ard_3-1-0_097073_2019-09-28_final
2019-09-28 09:59:54	ga_ls8c_ard_3-1-0_097074_2019-09-28_final
2019-09-28 10:00:18	ga_ls8c_ard_3-1-0_097075_2019-09-28_final
2019-09-28 10:00:42	ga_ls8c_ard_3-1-0_097076_2019-09-28_final
2019-09-30 09:49:33	ga_ls8c_ard_3-1-0_095079_2019-09-30_final
2019-09-30 09:49:57	ga_ls8c_ard_3-1-0_095080_2019-09-30_final
2019-09-30 09:50:21	ga_ls8c_ard_3-1-0_095081_2019-09-30_final
2019-09-30 09:50:45	ga_ls8c_ard_3-1-0_095082_2019-09-30_final
2019-09-30 09:51:09	ga_ls8c_ard_3-1-0_095083_2019-09-30_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-09-30 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-09-30_final
2019-10-02 09:40:23	ga_ls8c_ard_3-1-0_093087_2019-10-02_final
2019-10-02 09:40:47	ga_ls8c_ard_3-1-0_093088_2019-10-02_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
2019-10-09 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-10-09_final
2019-10-09 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-10-09_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