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
2015-07-03 09:39:03	ga_ls8c_ard_3-0-0_093086_2015-07-03_final
2015-07-03 09:39:27	ga_ls8c_ard_3-0-0_093087_2015-07-03_final
2015-07-05 09:26:43	ga_ls8c_ard_3-0-0_091086_2015-07-04_final
2015-07-05 09:27:07	ga_ls8c_ard_3-0-0_091087_2015-07-04_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-09-07 09:27:07	ga_ls8c_ard_3-0-0_091086_2015-09-06_final
2015-09-07 09:27:31	ga_ls8c_ard_3-0-0_091087_2015-09-06_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_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
2017-09-08 09:52:30	ga_ls8c_ard_3-0-0_095087_2017-09-08_final
2017-09-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2017-09-10_final
2017-09-15 09:58:41	ga_ls8c_ard_3-0-0_096087_2017-09-15_final
2017-09-17 09:46:20	ga_ls8c_ard_3-0-0_094087_2017-09-17_final
2017-09-19 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-09-19_final
2017-09-19 09:34:00	ga_ls8c_ard_3-0-0_092087_2017-09-19_final
2017-09-21 09:21:39	ga_ls8c_ard_3-0-0_090087_2017-09-20_final
2017-10-03 09:46:27	ga_ls8c_ard_3-0-0_094087_2017-10-03_final
2017-10-05 09:34:06	ga_ls8c_ard_3-0-0_092087_2017-10-05_final
2017-10-07 09:21:45	ga_ls8c_ard_3-0-0_090087_2017-10-06_final
2017-10-10 09:52:40	ga_ls8c_ard_3-0-0_095087_2017-10-10_final
2017-10-14 09:27:57	ga_ls8c_ard_3-0-0_091087_2017-10-13_final
2017-10-19 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-10-19_final
2017-10-24 10:04:39	ga_ls8c_ard_3-0-0_097086_2017-10-24_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-11-06 09:34:08	ga_ls8c_ard_3-0-0_092087_2017-11-06_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-12-22 09:46:25	ga_ls8c_ard_3-0-0_094087_2017-12-22_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2018-02-05 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-02-04_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-02-10 09:33:41	ga_ls8c_ard_3-0-0_092087_2018-02-10_final
2018-02-12 09:21:19	ga_ls8c_ard_3-0-0_090087_2018-02-11_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-06-23 09:50:58	ga_ls8c_ard_3-0-0_095086_2018-06-23_final
2018-06-23 09:51:22	ga_ls8c_ard_3-0-0_095087_2018-06-23_final
2020-06-14 09:39:40	ga_ls8c_ard_3-1-0_093087_2020-06-14_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-07-02 09:27:03	ga_ls8c_ard_3-1-0_091086_2020-07-01_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-07-16 09:39:54	ga_ls8c_ard_3-1-0_093087_2020-07-16_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-08-17 09:40:03	ga_ls8c_ard_3-1-0_093087_2020-08-17_final
2020-09-18 09:39:53	ga_ls8c_ard_3-1-0_093086_2020-09-18_final
2020-09-18 09:40:17	ga_ls8c_ard_3-1-0_093087_2020-09-18_final
2020-10-02 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-10-02_final
2020-10-02 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-10-02_final
2020-10-18 09:52:44	ga_ls8c_ard_3-1-0_095087_2020-10-18_final
2022-10-17 09:46:45	ga_ls8c_ard_3-2-1_094087_2022-10-17_final
2022-10-24 09:53:00	ga_ls8c_ard_3-2-1_095087_2022-10-24_final
2022-10-26 09:40:39	ga_ls8c_ard_3-2-1_093087_2022-10-26_final
2022-10-28 09:28:18	ga_ls8c_ard_3-2-1_091087_2022-10-27_final
2023-02-22 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-02-22_final
2023-02-24 09:33:55	ga_ls8c_ard_3-2-1_092087_2023-02-24_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-21 09:27:33	ga_ls8c_ard_3-2-1_091087_2023-03-20_final
2023-04-06 09:27:21	ga_ls8c_ard_3-2-1_091087_2023-04-05_final
2023-04-11 09:45:46	ga_ls8c_ard_3-2-1_094087_2023-04-11_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-15 09:21:02	ga_ls8c_ard_3-2-1_090087_2023-04-14_final
2023-04-18 09:51:55	ga_ls8c_ard_3-2-1_095087_2023-04-18_final
2023-04-20 09:39:32	ga_ls8c_ard_3-2-1_093087_2023-04-20_final
2023-04-27 09:45:43	ga_ls8c_ard_3-2-1_094087_2023-04-27_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
2023-06-30 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
2023-07-07 09:52:04	ga_ls8c_ard_3-2-1_095087_2023-07-07_final
2023-11-18 09:15:08	ga_ls8c_ard_3-2-1_089086_2023-11-17_final
2023-11-21 09:46:27	ga_ls8c_ard_3-2-1_094087_2023-11-21_final
2023-11-23 09:34:06	ga_ls8c_ard_3-2-1_092087_2023-11-23_final
2023-11-25 09:21:44	ga_ls8c_ard_3-2-1_090087_2023-11-24_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_final
2023-11-30 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-11-30_final
2023-12-02 09:27:51	ga_ls8c_ard_3-2-1_091087_2023-12-01_final
2023-12-07 09:46:18	ga_ls8c_ard_3-2-1_094087_2023-12-07_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-09 09:33:58	ga_ls8c_ard_3-2-1_092087_2023-12-09_final
2023-12-11 09:21:38	ga_ls8c_ard_3-2-1_090087_2023-12-10_final
2024-03-12 09:46:03	ga_ls8c_ard_3-2-1_094087_2024-03-12_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-03-16 09:21:18	ga_ls8c_ard_3-2-1_090087_2024-03-15_final
2024-03-19 09:52:10	ga_ls8c_ard_3-2-1_095087_2024-03-19_final
2024-03-21 09:39:47	ga_ls8c_ard_3-2-1_093087_2024-03-21_final
2024-03-28 09:45:48	ga_ls8c_ard_3-2-1_094087_2024-03-28_final
2024-03-30 09:33:27	ga_ls8c_ard_3-2-1_092087_2024-03-30_final
2024-04-01 09:21:06	ga_ls8c_ard_3-2-1_090087_2024-03-31_final
2024-04-04 09:52:00	ga_ls8c_ard_3-2-1_095087_2024-04-04_final
2024-04-06 09:39:38	ga_ls8c_ard_3-2-1_093087_2024-04-06_final
2024-04-08 09:27:16	ga_ls8c_ard_3-2-1_091087_2024-04-07_final
2024-04-08 09:27:16	ga_ls8c_ard_3-2-1_091087_2024-04-07_nrt
2024-04-13 09:45:46	ga_ls8c_ard_3-2-1_094087_2024-04-13_final
2024-04-15 09:33:23	ga_ls8c_ard_3-2-1_092087_2024-04-15_final
2024-04-17 09:21:00	ga_ls8c_ard_3-2-1_090087_2024-04-16_final
2024-05-01 09:33:12	ga_ls8c_ard_3-2-1_092087_2024-05-01_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