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
2014-07-30 09:47:09	ga_ls8c_ard_3-0-0_095074_2014-07-30_final
2014-07-30 09:47:33	ga_ls8c_ard_3-0-0_095075_2014-07-30_final
2014-07-30 09:47:57	ga_ls8c_ard_3-0-0_095076_2014-07-30_final
2014-07-30 09:48:20	ga_ls8c_ard_3-0-0_095077_2014-07-30_final
2014-07-30 09:48:44	ga_ls8c_ard_3-0-0_095078_2014-07-30_final
2014-07-30 09:49:08	ga_ls8c_ard_3-0-0_095079_2014-07-30_final
2014-07-30 09:49:32	ga_ls8c_ard_3-0-0_095080_2014-07-30_final
2014-08-13 09:56:49	ga_ls8c_ard_3-0-0_097067_2014-08-13_final
2014-08-13 09:57:13	ga_ls8c_ard_3-0-0_097068_2014-08-13_final
2014-08-13 09:57:37	ga_ls8c_ard_3-0-0_097069_2014-08-13_final
2014-08-13 09:58:01	ga_ls8c_ard_3-0-0_097070_2014-08-13_final
2014-08-15 09:47:16	ga_ls8c_ard_3-0-0_095074_2014-08-15_final
2014-08-15 09:47:40	ga_ls8c_ard_3-0-0_095075_2014-08-15_final
2014-08-15 09:48:04	ga_ls8c_ard_3-0-0_095076_2014-08-15_final
2014-08-15 09:48:28	ga_ls8c_ard_3-0-0_095077_2014-08-15_final
2014-08-15 09:48:52	ga_ls8c_ard_3-0-0_095078_2014-08-15_final
2014-08-15 09:49:15	ga_ls8c_ard_3-0-0_095079_2014-08-15_final
2014-08-15 09:49:39	ga_ls8c_ard_3-0-0_095080_2014-08-15_final
2014-08-29 09:56:50	ga_ls8c_ard_3-0-0_097067_2014-08-29_final
2014-08-29 09:57:14	ga_ls8c_ard_3-0-0_097068_2014-08-29_final
2014-08-29 09:57:38	ga_ls8c_ard_3-0-0_097069_2014-08-29_final
2014-08-29 09:58:02	ga_ls8c_ard_3-0-0_097070_2014-08-29_final
2014-08-31 09:47:17	ga_ls8c_ard_3-0-0_095074_2014-08-31_final
2014-08-31 09:47:41	ga_ls8c_ard_3-0-0_095075_2014-08-31_final
2014-08-31 09:48:05	ga_ls8c_ard_3-0-0_095076_2014-08-31_final
2014-08-31 09:48:29	ga_ls8c_ard_3-0-0_095077_2014-08-31_final
2014-08-31 09:48:53	ga_ls8c_ard_3-0-0_095078_2014-08-31_final
2014-08-31 09:49:17	ga_ls8c_ard_3-0-0_095079_2014-08-31_final
2014-08-31 09:49:41	ga_ls8c_ard_3-0-0_095080_2014-08-31_final
2014-12-19 09:56:54	ga_ls8c_ard_3-0-0_097067_2014-12-19_final
2014-12-19 09:57:18	ga_ls8c_ard_3-0-0_097068_2014-12-19_final
2014-12-19 09:57:41	ga_ls8c_ard_3-0-0_097069_2014-12-19_final
2014-12-19 09:58:05	ga_ls8c_ard_3-1-0_097070_2014-12-19_final
2014-12-21 09:47:20	ga_ls8c_ard_3-0-0_095074_2014-12-21_final
2014-12-21 09:47:44	ga_ls8c_ard_3-0-0_095075_2014-12-21_final
2014-12-21 09:48:07	ga_ls8c_ard_3-0-0_095076_2014-12-21_final
2014-12-21 09:48:31	ga_ls8c_ard_3-0-0_095077_2014-12-21_final
2014-12-21 09:48:55	ga_ls8c_ard_3-0-0_095078_2014-12-21_final
2014-12-21 09:49:19	ga_ls8c_ard_3-0-0_095079_2014-12-21_final
2014-12-21 09:49:43	ga_ls8c_ard_3-0-0_095080_2014-12-21_final
2017-04-03 09:38:00	ga_ls8c_ard_3-0-0_093083_2017-04-03_final
2017-04-03 09:38:24	ga_ls8c_ard_3-0-0_093084_2017-04-03_final
2017-04-03 09:38:48	ga_ls8c_ard_3-0-0_093085_2017-04-03_final
2017-04-03 09:39:11	ga_ls8c_ard_3-0-0_093086_2017-04-03_final
2017-04-03 09:39:35	ga_ls8c_ard_3-0-0_093087_2017-04-03_final
2017-04-03 09:39:59	ga_ls8c_ard_3-0-0_093088_2017-04-03_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-04 09:56:57	ga_ls8c_ard_3-0-0_097068_2017-07-04_final
2017-07-04 09:57:21	ga_ls8c_ard_3-0-0_097069_2017-07-04_final
2017-07-04 09:57:45	ga_ls8c_ard_3-0-0_097070_2017-07-04_final
2017-07-06 09:47:00	ga_ls8c_ard_3-0-0_095074_2017-07-06_final
2017-07-06 09:47:24	ga_ls8c_ard_3-0-0_095075_2017-07-06_final
2017-07-06 09:47:47	ga_ls8c_ard_3-0-0_095076_2017-07-06_final
2017-07-06 09:48:11	ga_ls8c_ard_3-0-0_095077_2017-07-06_final
2017-07-06 09:48:35	ga_ls8c_ard_3-0-0_095078_2017-07-06_final
2017-07-06 09:48:59	ga_ls8c_ard_3-0-0_095079_2017-07-06_final
2017-07-06 09:49:23	ga_ls8c_ard_3-0-0_095080_2017-07-06_final
2017-07-15 09:42:50	ga_ls8c_ard_3-0-0_094079_2017-07-15_final
2017-07-15 09:43:14	ga_ls8c_ard_3-0-0_094080_2017-07-15_final
2017-07-15 09:43:38	ga_ls8c_ard_3-0-0_094081_2017-07-15_final
2017-07-15 09:44:02	ga_ls8c_ard_3-0-0_094082_2017-07-15_final
2017-07-15 09:44:26	ga_ls8c_ard_3-0-0_094083_2017-07-15_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-03-19 09:38:45	ga_ls8c_ard_3-2-1_093084_2023-03-19_final
2023-03-19 09:39:09	ga_ls8c_ard_3-2-1_093085_2023-03-19_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-03-24 09:52:25	ga_ls8c_ard_3-2-1_096072_2023-03-24_final
2023-03-24 09:52:49	ga_ls8c_ard_3-2-1_096073_2023-03-24_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-07-14 09:51:29	ga_ls8c_ard_3-2-1_096070_2023-07-14_final
2023-07-14 09:51:53	ga_ls8c_ard_3-2-1_096071_2023-07-14_final
2023-07-14 09:52:17	ga_ls8c_ard_3-2-1_096072_2023-07-14_final
2023-07-14 09:52:41	ga_ls8c_ard_3-2-1_096073_2023-07-14_final
2023-07-14 09:53:05	ga_ls8c_ard_3-2-1_096074_2023-07-14_final
2023-07-14 09:53:29	ga_ls8c_ard_3-2-1_096075_2023-07-14_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-07-21 09:56:52	ga_ls8c_ard_3-2-1_097068_2023-07-21_final
2023-07-21 09:57:16	ga_ls8c_ard_3-2-1_097069_2023-07-21_final
2023-07-21 09:57:40	ga_ls8c_ard_3-2-1_097070_2023-07-21_final
2023-07-23 09:46:56	ga_ls8c_ard_3-2-1_095074_2023-07-23_final
2023-07-23 09:47:20	ga_ls8c_ard_3-2-1_095075_2023-07-23_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-23 09:48:08	ga_ls8c_ard_3-2-1_095077_2023-07-23_final
2023-07-23 09:48:32	ga_ls8c_ard_3-2-1_095078_2023-07-23_final
2023-07-23 09:48:56	ga_ls8c_ard_3-2-1_095079_2023-07-23_final
2023-07-23 09:49:20	ga_ls8c_ard_3-2-1_095080_2023-07-23_final
2023-07-30 09:53:12	ga_ls8c_ard_3-2-1_096074_2023-07-30_final
2023-09-11 09:38:27	ga_ls8c_ard_3-2-1_093083_2023-09-11_final
2023-09-11 09:38:51	ga_ls8c_ard_3-2-1_093084_2023-09-11_final
2023-09-11 09:39:15	ga_ls8c_ard_3-2-1_093085_2023-09-11_final
2023-09-11 09:39:39	ga_ls8c_ard_3-2-1_093086_2023-09-11_final
2023-09-11 09:40:03	ga_ls8c_ard_3-2-1_093087_2023-09-11_final
2023-09-11 09:40:27	ga_ls8c_ard_3-2-1_093088_2023-09-11_final
2023-09-13 09:28:30	ga_ls8c_ard_3-2-1_091089_2023-09-12_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