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
2019-07-19 09:50:33	ga_ls8c_ard_3-1-0_096067_2019-07-19_final
2019-07-19 09:50:56	ga_ls8c_ard_3-1-0_096068_2019-07-19_final
2019-07-19 09:51:20	ga_ls8c_ard_3-1-0_096069_2019-07-19_final
2019-09-21 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-09-21_final
2019-09-21 09:51:18	ga_ls8c_ard_3-1-0_096068_2019-09-21_final
2019-09-21 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-09-21_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-21 09:46:26	ga_ls8c_ard_3-2-0_095071_2021-10-21_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-21 09:47:38	ga_ls8c_ard_3-2-0_095074_2021-10-21_final
2021-10-23 09:36:28	ga_ls8c_ard_3-2-0_093077_2021-10-23_final
2021-10-23 09:36:52	ga_ls8c_ard_3-2-0_093078_2021-10-23_final
2021-10-23 09:37:16	ga_ls8c_ard_3-2-0_093079_2021-10-23_final
2021-10-23 09:37:40	ga_ls8c_ard_3-2-0_093080_2021-10-23_final
2021-10-23 09:38:04	ga_ls8c_ard_3-2-0_093081_2021-10-23_final
2021-10-23 09:38:28	ga_ls8c_ard_3-2-0_093082_2021-10-23_final
2021-10-23 09:38:52	ga_ls8c_ard_3-2-0_093083_2021-10-23_final
2021-10-25 09:27:18	ga_ls8c_ard_3-2-0_091085_2021-10-24_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_final
2021-10-25 09:28:06	ga_ls8c_ard_3-2-0_091087_2021-10-24_final
2021-10-25 09:28:30	ga_ls8c_ard_3-2-0_091088_2021-10-24_final
2021-10-25 09:28:54	ga_ls8c_ard_3-2-0_091089_2021-10-24_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2021-10-30 09:41:03	ga_ls8c_ard_3-2-0_094073_2021-10-30_final
2021-10-30 09:41:27	ga_ls8c_ard_3-2-0_094074_2021-10-30_final
2021-10-30 09:41:51	ga_ls8c_ard_3-2-0_094075_2021-10-30_final
2021-10-30 09:42:15	ga_ls8c_ard_3-2-0_094076_2021-10-30_final
2021-10-30 09:42:39	ga_ls8c_ard_3-2-0_094077_2021-10-30_final
2021-10-30 09:43:03	ga_ls8c_ard_3-2-0_094078_2021-10-30_final
2021-10-30 09:43:27	ga_ls8c_ard_3-2-0_094079_2021-10-30_final
2021-11-01 09:32:17	ga_ls8c_ard_3-2-0_092082_2021-11-01_final
2021-11-01 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-11-01_final
2021-11-01 09:33:05	ga_ls8c_ard_3-2-0_092084_2021-11-01_final
2021-11-01 09:33:29	ga_ls8c_ard_3-2-0_092085_2021-11-01_final
2021-11-01 09:33:53	ga_ls8c_ard_3-2-0_092086_2021-11-01_final
2021-11-01 09:34:16	ga_ls8c_ard_3-2-0_092087_2021-11-01_final
2022-10-24 09:46:37	ga_ls8c_ard_3-2-1_095071_2022-10-24_final
2022-10-24 09:47:01	ga_ls8c_ard_3-2-1_095072_2022-10-24_final
2022-10-24 09:47:25	ga_ls8c_ard_3-2-1_095073_2022-10-24_final
2022-10-24 09:47:48	ga_ls8c_ard_3-2-1_095074_2022-10-24_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
2022-10-26 09:39:03	ga_ls8c_ard_3-2-1_093083_2022-10-26_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-28 09:27:54	ga_ls8c_ard_3-2-1_091086_2022-10-27_final
2022-10-28 09:28:18	ga_ls8c_ard_3-2-1_091087_2022-10-27_final
2022-10-28 09:28:42	ga_ls8c_ard_3-2-1_091088_2022-10-27_final
2022-10-28 09:29:06	ga_ls8c_ard_3-2-1_091089_2022-10-27_final
2022-10-28 09:29:30	ga_ls8c_ard_3-2-1_091090_2022-10-27_final
2024-01-19 09:26:59	ga_ls8c_ard_3-2-1_091085_2024-01-18_final
2024-01-19 09:27:23	ga_ls8c_ard_3-2-1_091086_2024-01-18_final
2024-01-19 09:27:47	ga_ls8c_ard_3-2-1_091087_2024-01-18_final
2024-01-19 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-18_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-19 09:28:58	ga_ls8c_ard_3-2-1_091090_2024-01-18_final
2024-01-28 09:22:18	ga_ls8c_ard_3-2-1_090089_2024-01-27_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-01-28 09:23:06	ga_ls8c_ard_3-2-1_090091_2024-01-27_final
2024-01-31 09:46:03	ga_ls8c_ard_3-2-1_095071_2024-01-31_final
2024-01-31 09:46:27	ga_ls8c_ard_3-2-1_095072_2024-01-31_final
2024-01-31 09:46:51	ga_ls8c_ard_3-2-1_095073_2024-01-31_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-02 09:36:07	ga_ls8c_ard_3-2-1_093077_2024-02-02_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-02 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-02_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-09 09:40:44	ga_ls8c_ard_3-2-1_094073_2024-02-09_final
2024-02-09 09:41:08	ga_ls8c_ard_3-2-1_094074_2024-02-09_final
2024-02-09 09:41:31	ga_ls8c_ard_3-2-1_094075_2024-02-09_final
2024-02-09 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-02-09_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-09 09:42:43	ga_ls8c_ard_3-2-1_094078_2024-02-09_final
2024-02-09 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-02-09_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-11 09:31:57	ga_ls8c_ard_3-2-1_092082_2024-02-11_final
2024-02-11 09:32:21	ga_ls8c_ard_3-2-1_092083_2024-02-11_final
2024-02-11 09:32:45	ga_ls8c_ard_3-2-1_092084_2024-02-11_final
2024-02-11 09:33:09	ga_ls8c_ard_3-2-1_092085_2024-02-11_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-11 09:33:57	ga_ls8c_ard_3-2-1_092087_2024-02-11_final
2024-03-12 09:40:28	ga_ls8c_ard_3-2-1_094073_2024-03-12_final
2024-03-12 09:40:52	ga_ls8c_ard_3-2-1_094074_2024-03-12_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-12 09:42:04	ga_ls8c_ard_3-2-1_094077_2024-03-12_final
2024-03-12 09:42:28	ga_ls8c_ard_3-2-1_094078_2024-03-12_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-14 09:31:41	ga_ls8c_ard_3-2-1_092082_2024-03-14_final
2024-03-14 09:32:05	ga_ls8c_ard_3-2-1_092083_2024-03-14_final
2024-03-14 09:32:29	ga_ls8c_ard_3-2-1_092084_2024-03-14_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-14 09:33:17	ga_ls8c_ard_3-2-1_092086_2024-03-14_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