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
2017-09-01 09:46:19	ga_ls8c_ard_3-0-0_094087_2017-09-01_final
2017-09-03 09:33:33	ga_ls8c_ard_3-0-0_092086_2017-09-03_final
2017-09-03 09:33:57	ga_ls8c_ard_3-0-0_092087_2017-09-03_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-11-02 09:58:28	ga_ls8c_ard_3-0-0_096086_2017-11-02_final
2017-11-02 09:58:52	ga_ls8c_ard_3-0-0_096087_2017-11-02_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-11-09 10:04:38	ga_ls8c_ard_3-0-0_097086_2017-11-09_final
2017-11-11 09:52:39	ga_ls8c_ard_3-0-0_095087_2017-11-11_final
2017-11-13 09:40:17	ga_ls8c_ard_3-0-0_093087_2017-11-13_final
2017-11-15 09:27:55	ga_ls8c_ard_3-0-0_091087_2017-11-14_final
2017-11-17 09:15:33	ga_ls8c_ard_3-0-0_089087_2017-11-16_final
2017-12-01 09:27:49	ga_ls8c_ard_3-0-0_091087_2017-11-30_final
2017-12-03 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-12-02_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2017-12-15 09:40:12	ga_ls8c_ard_3-0-0_093087_2017-12-15_final
2017-12-17 09:27:51	ga_ls8c_ard_3-0-0_091087_2017-12-16_final
2017-12-19 09:15:06	ga_ls8c_ard_3-0-0_089086_2017-12-18_final
2017-12-19 09:15:30	ga_ls8c_ard_3-0-0_089087_2017-12-18_final
2017-12-24 09:34:02	ga_ls8c_ard_3-0-0_092087_2017-12-24_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-29 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-12-29_final
2017-12-29 09:52:34	ga_ls8c_ard_3-0-0_095087_2017-12-29_final
2017-12-31 09:40:11	ga_ls8c_ard_3-0-0_093087_2017-12-31_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-03 10:10:40	ga_ls8c_ard_3-0-0_098086_2018-01-03_final
2018-01-04 09:15:03	ga_ls8c_ard_3-0-0_089086_2018-01-03_final
2018-01-04 09:15:27	ga_ls8c_ard_3-0-0_089087_2018-01-03_final
2018-01-09 09:33:57	ga_ls8c_ard_3-0-0_092087_2018-01-09_final
2018-01-11 09:21:34	ga_ls8c_ard_3-0-0_090087_2018-01-10_final
2018-01-14 09:52:27	ga_ls8c_ard_3-0-0_095087_2018-01-14_final
2018-01-16 09:40:04	ga_ls8c_ard_3-0-0_093087_2018-01-16_final
2018-01-18 09:27:18	ga_ls8c_ard_3-0-0_091086_2018-01-17_final
2018-01-18 09:27:42	ga_ls8c_ard_3-0-0_091087_2018-01-17_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-07-21 09:46:11	ga_ls8c_ard_3-1-0_094087_2019-07-21_final
2019-07-26 10:04:22	ga_ls8c_ard_3-1-0_097086_2019-07-26_final
2019-08-01 09:27:19	ga_ls8c_ard_3-1-0_091086_2019-07-31_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-09-05 09:58:47	ga_ls8c_ard_3-1-0_096087_2019-09-05_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-09 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-09-09_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-11 09:21:20	ga_ls8c_ard_3-1-0_090086_2019-09-10_final
2019-09-11 09:21:44	ga_ls8c_ard_3-1-0_090087_2019-09-10_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
2019-10-11 09:34:14	ga_ls8c_ard_3-1-0_092087_2019-10-11_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2019-10-23 09:58:58	ga_ls8c_ard_3-1-0_096087_2019-10-23_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2022-07-22 09:39:56	ga_ls8c_ard_3-2-1_093086_2022-07-22_final
2022-07-22 09:40:20	ga_ls8c_ard_3-2-1_093087_2022-07-22_final
2022-07-29 09:46:12	ga_ls8c_ard_3-2-1_094086_2022-07-29_final
2022-07-29 09:46:36	ga_ls8c_ard_3-2-1_094087_2022-07-29_final
2022-07-31 09:33:52	ga_ls8c_ard_3-2-1_092086_2022-07-31_final
2022-07-31 09:34:16	ga_ls8c_ard_3-2-1_092087_2022-07-31_final
2022-08-02 09:21:31	ga_ls8c_ard_3-2-1_090086_2022-08-01_final
2022-08-02 09:21:55	ga_ls8c_ard_3-2-1_090087_2022-08-01_final
2022-08-05 09:52:27	ga_ls8c_ard_3-2-1_095086_2022-08-05_final
2022-08-05 09:52:51	ga_ls8c_ard_3-2-1_095087_2022-08-05_final
2023-01-05 09:46:37	ga_ls8c_ard_3-2-1_094087_2023-01-05_final
2023-01-09 09:21:29	ga_ls8c_ard_3-2-1_090086_2023-01-08_final
2023-01-09 09:21:53	ga_ls8c_ard_3-2-1_090087_2023-01-08_final
2023-01-12 09:52:45	ga_ls8c_ard_3-2-1_095087_2023-01-12_final
2023-01-14 09:39:58	ga_ls8c_ard_3-2-1_093086_2023-01-14_final
2023-01-14 09:40:22	ga_ls8c_ard_3-2-1_093087_2023-01-14_final
2023-01-21 09:46:32	ga_ls8c_ard_3-2-1_094087_2023-01-21_final
2023-01-30 09:40:01	ga_ls8c_ard_3-2-1_093086_2023-01-30_final
2023-01-30 09:40:25	ga_ls8c_ard_3-2-1_093087_2023-01-30_final
2023-06-05 09:51:45	ga_ls8c_ard_3-2-1_095087_2023-06-05_final
2023-06-07 09:39:25	ga_ls8c_ard_3-2-1_093087_2023-06-07_final
2023-06-09 09:27:05	ga_ls8c_ard_3-2-1_091087_2023-06-08_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-06-16 09:33:19	ga_ls8c_ard_3-2-1_092087_2023-06-16_final
2023-06-18 09:20:33	ga_ls8c_ard_3-2-1_090086_2023-06-17_final
2023-06-18 09:20:57	ga_ls8c_ard_3-2-1_090087_2023-06-17_final
2023-06-21 09:51:28	ga_ls8c_ard_3-2-1_095086_2023-06-21_final
2023-06-21 09:51:51	ga_ls8c_ard_3-2-1_095087_2023-06-21_final
2023-06-23 09:39:06	ga_ls8c_ard_3-2-1_093086_2023-06-23_final
2023-06-23 09:39:30	ga_ls8c_ard_3-2-1_093087_2023-06-23_final
2023-06-30 09:45:48	ga_ls8c_ard_3-2-1_094087_2023-06-30_final
2023-07-02 09:33:28	ga_ls8c_ard_3-2-1_092087_2023-07-02_final
2023-07-04 09:20:44	ga_ls8c_ard_3-2-1_090086_2023-07-03_final
2023-07-04 09:21:08	ga_ls8c_ard_3-2-1_090087_2023-07-03_final
2023-07-09 09:39:43	ga_ls8c_ard_3-2-1_093087_2023-07-09_final
2023-07-11 09:27:22	ga_ls8c_ard_3-2-1_091087_2023-07-10_final
2023-08-03 09:33:42	ga_ls8c_ard_3-2-1_092087_2023-08-03_final
2023-08-08 09:52:15	ga_ls8c_ard_3-2-1_095087_2023-08-08_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-08-17 09:46:09	ga_ls8c_ard_3-2-1_094087_2023-08-17_final
2023-08-19 09:33:25	ga_ls8c_ard_3-2-1_092086_2023-08-19_final
2023-08-19 09:33:49	ga_ls8c_ard_3-2-1_092087_2023-08-19_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-08-24 09:52:23	ga_ls8c_ard_3-2-1_095087_2023-08-24_final
2023-08-26 09:39:38	ga_ls8c_ard_3-2-1_093086_2023-08-26_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-08-28 09:27:16	ga_ls8c_ard_3-2-1_091086_2023-08-27_final
2023-08-28 09:27:40	ga_ls8c_ard_3-2-1_091087_2023-08-27_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