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
2018-02-17 09:39:26	ga_ls8c_ard_3-0-0_093086_2018-02-17_final
2018-02-28 09:20:48	ga_ls8c_ard_3-0-0_090086_2018-02-27_final
2018-03-01 10:04:03	ga_ls8c_ard_3-0-0_097086_2018-03-01_final
2018-04-17 09:20:23	ga_ls8c_ard_3-0-0_090086_2018-04-16_final
2018-04-18 10:03:38	ga_ls8c_ard_3-0-0_097086_2018-04-18_final
2018-04-25 10:09:45	ga_ls8c_ard_3-0-0_098086_2018-04-25_final
2018-04-26 09:14:07	ga_ls8c_ard_3-0-0_089086_2018-04-25_final
2018-04-27 09:57:22	ga_ls8c_ard_3-0-0_096086_2018-04-27_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-20 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-05-20_final
2018-06-18 09:32:22	ga_ls8c_ard_3-0-0_092086_2018-06-18_final
2018-06-23 09:50:58	ga_ls8c_ard_3-0-0_095086_2018-06-23_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-03 09:21:21	ga_ls8c_ard_3-2-0_090086_2021-01-02_final
2021-01-04 10:04:37	ga_ls8c_ard_3-2-0_097086_2021-01-04_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-01-08 09:39:52	ga_ls8c_ard_3-2-0_093086_2021-01-08_final
2021-01-10 09:27:29	ga_ls8c_ard_3-2-0_091086_2021-01-09_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-17 09:33:36	ga_ls8c_ard_3-2-0_092086_2021-01-17_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-01-31 09:45:57	ga_ls8c_ard_3-2-0_094086_2021-01-31_final
2021-02-18 09:33:31	ga_ls8c_ard_3-2-0_092086_2021-02-18_final
2021-02-20 09:21:08	ga_ls8c_ard_3-2-0_090086_2021-02-19_final
2021-03-02 09:58:09	ga_ls8c_ard_3-2-0_096086_2021-03-02_final
2021-03-04 09:45:46	ga_ls8c_ard_3-2-0_094086_2021-03-04_final
2021-03-06 09:33:24	ga_ls8c_ard_3-2-0_092086_2021-03-06_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-03-09 10:04:16	ga_ls8c_ard_3-2-0_097086_2021-03-09_final
2021-03-11 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-03-11_final
2021-03-13 09:39:30	ga_ls8c_ard_3-2-0_093086_2021-03-13_final
2021-03-15 09:27:07	ga_ls8c_ard_3-2-0_091086_2021-03-14_final
2021-03-16 10:10:22	ga_ls8c_ard_3-2-0_098086_2021-03-16_final
2021-03-17 09:14:44	ga_ls8c_ard_3-2-0_089086_2021-03-16_final
2021-03-18 09:57:59	ga_ls8c_ard_3-2-0_096086_2021-03-18_final
2021-03-20 09:45:38	ga_ls8c_ard_3-2-0_094086_2021-03-20_final
2021-03-22 09:33:16	ga_ls8c_ard_3-2-0_092086_2021-03-22_final
2021-03-24 09:20:54	ga_ls8c_ard_3-2-0_090086_2021-03-23_final
2021-03-25 10:04:09	ga_ls8c_ard_3-2-0_097086_2021-03-25_final
2021-03-27 09:51:47	ga_ls8c_ard_3-2-0_095086_2021-03-27_final
2021-03-29 09:39:25	ga_ls8c_ard_3-2-0_093086_2021-03-29_final
2021-03-31 09:27:03	ga_ls8c_ard_3-2-0_091086_2021-03-30_final
2023-08-08 09:51:51	ga_ls8c_ard_3-2-1_095086_2023-08-08_final
2023-09-04 09:33:26	ga_ls8c_ard_3-2-1_092086_2023-09-04_final
2023-09-06 09:21:03	ga_ls8c_ard_3-2-1_090086_2023-09-05_final
2023-09-27 09:39:44	ga_ls8c_ard_3-2-1_093086_2023-09-27_final
2023-09-29 09:27:23	ga_ls8c_ard_3-2-1_091086_2023-09-28_final
2023-10-01 09:15:02	ga_ls8c_ard_3-2-1_089086_2023-09-30_final
2023-10-02 09:58:18	ga_ls8c_ard_3-2-1_096086_2023-10-02_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-10-11 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-10-11_final
2023-10-13 09:39:48	ga_ls8c_ard_3-2-1_093086_2023-10-13_final
2023-10-15 09:27:26	ga_ls8c_ard_3-2-1_091086_2023-10-14_final
2023-10-15 09:27:26	ga_ls8c_ard_3-2-1_091086_2023-10-14_nrt
2023-10-17 09:15:04	ga_ls8c_ard_3-2-1_089086_2023-10-16_final
2023-10-18 09:57:55	ga_ls8c_ard_3-2-1_096085_2023-10-18_final
2023-10-18 09:58:19	ga_ls8c_ard_3-2-1_096086_2023-10-18_final
2023-10-20 09:45:57	ga_ls8c_ard_3-2-1_094086_2023-10-20_final
2023-10-22 09:33:37	ga_ls8c_ard_3-2-1_092086_2023-10-22_final
2023-10-24 09:21:16	ga_ls8c_ard_3-2-1_090086_2023-10-23_final
2023-11-07 09:33:37	ga_ls8c_ard_3-2-1_092086_2023-11-07_final
2023-11-09 09:21:13	ga_ls8c_ard_3-2-1_090086_2023-11-08_final
2023-11-12 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-11-12_final
2023-11-14 09:39:49	ga_ls8c_ard_3-2-1_093086_2023-11-14_final
2023-11-16 09:27:28	ga_ls8c_ard_3-2-1_091086_2023-11-15_final
2023-11-18 09:15:08	ga_ls8c_ard_3-2-1_089086_2023-11-17_final
2023-11-19 09:58:24	ga_ls8c_ard_3-2-1_096086_2023-11-19_final
2023-11-21 09:46:03	ga_ls8c_ard_3-2-1_094086_2023-11-21_final
2023-12-30 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-12-30_final
2024-01-01 09:39:46	ga_ls8c_ard_3-2-1_093086_2024-01-01_final
2024-01-03 09:27:22	ga_ls8c_ard_3-2-1_091086_2024-01-02_final
2024-01-05 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-01-04_final
2024-01-06 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-06_final
2024-01-08 09:45:54	ga_ls8c_ard_3-2-1_094086_2024-01-08_final
2024-01-10 09:33:34	ga_ls8c_ard_3-2-1_092086_2024-01-10_final
2024-01-12 09:21:13	ga_ls8c_ard_3-2-1_090086_2024-01-11_final
2024-01-15 09:52:07	ga_ls8c_ard_3-2-1_095086_2024-01-15_final
2024-01-17 09:39:45	ga_ls8c_ard_3-2-1_093086_2024-01-17_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_nrt
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_final
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_nrt
2024-01-26 09:33:27	ga_ls8c_ard_3-2-1_092086_2024-01-26_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-03-12 09:45:39	ga_ls8c_ard_3-2-1_094086_2024-03-12_final
2024-03-14 09:33:17	ga_ls8c_ard_3-2-1_092086_2024-03-14_final
2024-03-19 09:51:46	ga_ls8c_ard_3-2-1_095086_2024-03-19_final
2024-03-21 09:39:23	ga_ls8c_ard_3-2-1_093086_2024-03-21_final
2024-03-25 09:14:34	ga_ls8c_ard_3-2-1_089086_2024-03-24_final
2024-03-26 09:57:48	ga_ls8c_ard_3-2-1_096086_2024-03-26_final
2024-03-30 09:33:03	ga_ls8c_ard_3-2-1_092086_2024-03-30_final
2024-04-01 09:20:42	ga_ls8c_ard_3-2-1_090086_2024-03-31_final
2024-04-08 09:26:52	ga_ls8c_ard_3-2-1_091086_2024-04-07_final
2024-04-08 09:26:52	ga_ls8c_ard_3-2-1_091086_2024-04-07_nrt
2024-04-24 09:26:44	ga_ls8c_ard_3-2-1_091086_2024-04-23_final
2024-04-27 09:57:35	ga_ls8c_ard_3-2-1_096086_2024-04-27_final
2024-04-29 09:44:48	ga_ls8c_ard_3-2-1_094085_2024-04-29_final
2024-04-29 09:45:12	ga_ls8c_ard_3-2-1_094086_2024-04-29_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