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
2015-02-07 09:44:19	ga_ls8c_ard_3-0-0_095067_2015-02-07_final
2015-02-07 09:45:31	ga_ls8c_ard_3-0-0_095070_2015-02-07_final
2015-02-07 09:45:55	ga_ls8c_ard_3-0-0_095071_2015-02-07_final
2015-02-07 09:46:19	ga_ls8c_ard_3-0-0_095072_2015-02-07_final
2015-02-07 09:46:43	ga_ls8c_ard_3-0-0_095073_2015-02-07_final
2015-02-09 09:35:55	ga_ls8c_ard_3-0-0_093077_2015-02-09_final
2015-02-09 09:36:19	ga_ls8c_ard_3-0-0_093078_2015-02-09_final
2015-02-09 09:36:43	ga_ls8c_ard_3-0-0_093079_2015-02-09_final
2015-02-09 09:37:07	ga_ls8c_ard_3-0-0_093080_2015-02-09_final
2015-02-09 09:37:31	ga_ls8c_ard_3-0-0_093081_2015-02-09_final
2015-02-09 09:37:55	ga_ls8c_ard_3-0-0_093082_2015-02-09_final
2015-02-16 09:40:02	ga_ls8c_ard_3-0-0_094072_2015-02-16_final
2015-02-16 09:40:26	ga_ls8c_ard_3-0-0_094073_2015-02-16_final
2015-02-16 09:40:50	ga_ls8c_ard_3-0-0_094074_2015-02-16_final
2015-02-16 09:41:14	ga_ls8c_ard_3-0-0_094075_2015-02-16_final
2015-02-16 09:41:38	ga_ls8c_ard_3-0-0_094076_2015-02-16_final
2015-02-16 09:42:01	ga_ls8c_ard_3-0-0_094077_2015-02-16_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-18 09:31:16	ga_ls8c_ard_3-0-0_092081_2015-02-18_final
2015-02-18 09:31:40	ga_ls8c_ard_3-0-0_092082_2015-02-18_final
2015-02-18 09:32:04	ga_ls8c_ard_3-0-0_092083_2015-02-18_final
2015-02-18 09:32:28	ga_ls8c_ard_3-0-0_092084_2015-02-18_final
2015-02-18 09:32:52	ga_ls8c_ard_3-0-0_092085_2015-02-18_final
2015-02-18 09:33:16	ga_ls8c_ard_3-0-0_092086_2015-02-18_final
2015-02-20 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-02-19_final
2015-02-20 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-02-19_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-03-06 09:31:10	ga_ls8c_ard_3-0-0_092081_2015-03-06_final
2015-03-06 09:31:34	ga_ls8c_ard_3-0-0_092082_2015-03-06_final
2015-03-06 09:31:58	ga_ls8c_ard_3-0-0_092083_2015-03-06_final
2015-03-06 09:32:22	ga_ls8c_ard_3-0-0_092084_2015-03-06_final
2015-03-06 09:32:46	ga_ls8c_ard_3-0-0_092085_2015-03-06_final
2015-03-06 09:33:10	ga_ls8c_ard_3-0-0_092086_2015-03-06_final
2015-03-08 09:21:34	ga_ls8c_ard_3-0-0_090088_2015-03-07_final
2015-03-08 09:21:58	ga_ls8c_ard_3-0-0_090089_2015-03-07_final
2015-03-08 09:22:22	ga_ls8c_ard_3-0-0_090090_2015-03-07_final
2015-05-23 09:39:17	ga_ls8c_ard_3-0-0_094072_2015-05-23_final
2015-05-23 09:39:41	ga_ls8c_ard_3-0-0_094073_2015-05-23_final
2015-05-23 09:40:05	ga_ls8c_ard_3-0-0_094074_2015-05-23_final
2015-05-23 09:40:29	ga_ls8c_ard_3-0-0_094075_2015-05-23_final
2015-05-23 09:40:53	ga_ls8c_ard_3-0-0_094076_2015-05-23_final
2015-05-23 09:41:16	ga_ls8c_ard_3-0-0_094077_2015-05-23_final
2015-05-23 09:41:40	ga_ls8c_ard_3-0-0_094078_2015-05-23_final
2015-05-25 09:30:31	ga_ls8c_ard_3-0-0_092081_2015-05-25_final
2015-05-25 09:30:55	ga_ls8c_ard_3-0-0_092082_2015-05-25_final
2015-05-25 09:31:19	ga_ls8c_ard_3-0-0_092083_2015-05-25_final
2015-05-25 09:31:43	ga_ls8c_ard_3-0-0_092084_2015-05-25_final
2015-05-25 09:32:07	ga_ls8c_ard_3-0-0_092085_2015-05-25_final
2015-05-25 09:32:31	ga_ls8c_ard_3-0-0_092086_2015-05-25_final
2015-06-08 09:39:26	ga_ls8c_ard_3-0-0_094072_2015-06-08_final
2015-06-08 09:39:50	ga_ls8c_ard_3-0-0_094073_2015-06-08_final
2015-06-08 09:40:14	ga_ls8c_ard_3-0-0_094074_2015-06-08_final
2015-06-08 09:40:38	ga_ls8c_ard_3-0-0_094075_2015-06-08_final
2015-06-08 09:41:02	ga_ls8c_ard_3-0-0_094076_2015-06-08_final
2015-06-08 09:41:26	ga_ls8c_ard_3-0-0_094077_2015-06-08_final
2015-06-08 09:41:50	ga_ls8c_ard_3-0-0_094078_2015-06-08_final
2015-06-10 09:30:42	ga_ls8c_ard_3-0-0_092081_2015-06-10_final
2015-06-10 09:31:06	ga_ls8c_ard_3-0-0_092082_2015-06-10_final
2015-06-10 09:31:30	ga_ls8c_ard_3-0-0_092083_2015-06-10_final
2015-06-10 09:31:53	ga_ls8c_ard_3-0-0_092084_2015-06-10_final
2015-06-10 09:32:17	ga_ls8c_ard_3-0-0_092085_2015-06-10_final
2015-06-10 09:32:41	ga_ls8c_ard_3-0-0_092086_2015-06-10_final
2022-10-26 09:36:16	ga_ls8c_ard_3-2-1_093076_2022-10-26_final
2022-10-26 09:36:40	ga_ls8c_ard_3-2-1_093077_2022-10-26_final
2022-10-26 09:37:03	ga_ls8c_ard_3-2-1_093078_2022-10-26_final
2022-10-26 09:37:27	ga_ls8c_ard_3-2-1_093079_2022-10-26_final
2022-10-26 09:37:51	ga_ls8c_ard_3-2-1_093080_2022-10-26_final
2022-10-26 09:38:15	ga_ls8c_ard_3-2-1_093081_2022-10-26_final
2022-10-26 09:38:39	ga_ls8c_ard_3-2-1_093082_2022-10-26_final
2023-03-19 09:35:57	ga_ls8c_ard_3-2-1_093077_2023-03-19_final
2023-03-19 09:36:21	ga_ls8c_ard_3-2-1_093078_2023-03-19_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-19 09:37:09	ga_ls8c_ard_3-2-1_093080_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-19 09:37:57	ga_ls8c_ard_3-2-1_093082_2023-03-19_final
2023-04-15 09:21:26	ga_ls8c_ard_3-2-1_090088_2023-04-14_final
2023-04-15 09:21:50	ga_ls8c_ard_3-2-1_090089_2023-04-14_final
2023-04-15 09:22:14	ga_ls8c_ard_3-2-1_090090_2023-04-14_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-04-18 09:45:32	ga_ls8c_ard_3-2-1_095071_2023-04-18_final
2023-04-18 09:45:56	ga_ls8c_ard_3-2-1_095072_2023-04-18_final
2023-04-18 09:46:20	ga_ls8c_ard_3-2-1_095073_2023-04-18_final
2023-04-27 09:39:44	ga_ls8c_ard_3-2-1_094072_2023-04-27_final
2023-04-27 09:40:08	ga_ls8c_ard_3-2-1_094073_2023-04-27_final
2023-04-27 09:40:32	ga_ls8c_ard_3-2-1_094074_2023-04-27_final
2023-04-27 09:40:56	ga_ls8c_ard_3-2-1_094075_2023-04-27_final
2023-04-27 09:41:20	ga_ls8c_ard_3-2-1_094076_2023-04-27_final
2023-04-27 09:41:43	ga_ls8c_ard_3-2-1_094077_2023-04-27_final
2023-04-27 09:42:07	ga_ls8c_ard_3-2-1_094078_2023-04-27_final
2023-04-29 09:30:57	ga_ls8c_ard_3-2-1_092081_2023-04-29_final
2023-04-29 09:31:21	ga_ls8c_ard_3-2-1_092082_2023-04-29_final
2023-04-29 09:31:45	ga_ls8c_ard_3-2-1_092083_2023-04-29_final
2023-04-29 09:32:09	ga_ls8c_ard_3-2-1_092084_2023-04-29_final
2023-04-29 09:32:33	ga_ls8c_ard_3-2-1_092085_2023-04-29_final
2023-04-29 09:32:57	ga_ls8c_ard_3-2-1_092086_2023-04-29_final
2023-05-15 09:30:44	ga_ls8c_ard_3-2-1_092081_2023-05-15_final
2023-05-15 09:31:08	ga_ls8c_ard_3-2-1_092082_2023-05-15_final
2023-05-15 09:31:32	ga_ls8c_ard_3-2-1_092083_2023-05-15_final
2023-05-15 09:31:56	ga_ls8c_ard_3-2-1_092084_2023-05-15_final
2023-05-15 09:32:20	ga_ls8c_ard_3-2-1_092085_2023-05-15_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