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
2018-11-01 11:57:18	ga_ls8c_ard_3-0-0_116075_2018-11-01_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-08-28 09:16:49	ga_ls8c_ard_3-1-0_090075_2020-08-27_final
2020-11-15 11:53:29	ga_ls8c_ard_3-1-0_115080_2020-11-15_final
2020-12-08 10:19:39	ga_ls8c_ard_3-1-0_100077_2020-12-08_final
2020-12-17 11:53:33	ga_ls8c_ard_3-2-0_115080_2020-12-17_final
2020-12-19 09:57:54	ga_ls8c_ard_3-2-0_097069_2020-12-19_final
2020-12-21 09:45:56	ga_ls8c_ard_3-2-0_095070_2020-12-21_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-26 09:23:01	ga_ls8c_ard_3-2-0_091075_2021-01-25_final
2021-02-03 11:53:19	ga_ls8c_ard_3-2-0_115080_2021-02-03_final
2021-02-16 09:38:18	ga_ls8c_ard_3-2-0_094067_2021-02-16_final
2021-02-19 11:53:15	ga_ls8c_ard_3-2-0_115080_2021-02-19_final
2021-02-23 09:45:38	ga_ls8c_ard_3-2-0_095070_2021-02-23_final
2021-03-11 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-03-11_final
2021-03-13 11:13:36	ga_ls8c_ard_3-2-0_109074_2021-03-13_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-17 10:09:25	ga_ls8c_ard_3-2-0_098084_2021-04-17_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-05-17 10:18:54	ga_ls8c_ard_3-2-0_100077_2021-05-17_final
2021-06-08 11:19:42	ga_ls8c_ard_3-2-0_110074_2021-06-08_final
2021-06-09 10:27:17	ga_ls8c_ard_3-2-0_101082_2021-06-09_final
2021-07-23 09:12:06	ga_ls8c_ard_3-2-0_089079_2021-07-22_final
2021-07-23 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-07-23_final
2021-08-02 11:23:21	ga_ls8c_ard_3-2-0_111067_2021-08-02_final
2021-08-11 11:18:02	ga_ls8c_ard_3-2-0_110069_2021-08-11_final
2021-09-21 11:14:01	ga_ls8c_ard_3-2-0_109074_2021-09-21_final
2021-09-25 10:50:07	ga_ls8c_ard_3-2-0_105076_2021-09-25_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-07 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-10-07_final
2021-10-12 11:32:41	ga_ls8c_ard_3-2-0_112074_2021-10-12_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-26 11:14:25	ga_ls8c_ard_3-2-1_109075_2021-12-26_final
2022-01-02 09:40:52	ga_ls8c_ard_3-2-1_094073_2022-01-02_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-01-22 10:52:34	ga_ls8c_ard_3-2-1_106067_2022-01-22_final
2022-02-06 10:08:52	ga_ls8c_ard_3-2-1_099066_2022-02-06_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-02-22 10:10:21	ga_ls8c_ard_3-2-1_099070_2022-02-22_final
2022-02-23 09:16:44	ga_ls8c_ard_3-2-1_090075_2022-02-22_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-03-16 09:34:46	ga_ls8c_ard_3-2-1_093074_2022-03-16_final
2022-04-01 11:14:15	ga_ls8c_ard_3-2-1_109076_2022-04-01_final
2022-04-15 09:51:50	ga_ls8c_ard_3-2-1_095086_2022-04-15_final
2022-04-15 11:23:56	ga_ls8c_ard_3-2-1_111069_2022-04-15_final
2022-05-14 10:52:19	ga_ls8c_ard_3-2-1_106067_2022-05-14_final
2022-06-02 09:52:00	ga_ls8c_ard_3-2-1_095086_2022-06-02_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-08-14 09:46:44	ga_ls8c_ard_3-2-1_094087_2022-08-14_final
2022-08-16 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-08-16_final
2022-08-17 11:53:44	ga_ls8c_ard_3-2-1_115080_2022-08-17_final
2022-09-07 10:33:50	ga_ls8c_ard_3-2-1_102081_2022-09-07_final
2022-10-21 09:17:41	ga_ls8c_ard_3-2-1_090076_2022-10-20_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2022-11-15 09:11:52	ga_ls8c_ard_3-2-1_089077_2022-11-14_final
2022-11-20 09:35:10	ga_ls8c_ard_3-2-1_092089_2022-11-20_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2022-12-11 09:46:32	ga_ls8c_ard_3-2-1_095071_2022-12-11_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-23 10:10:18	ga_ls8c_ard_3-2-1_099069_2022-12-23_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-02-01 09:23:40	ga_ls8c_ard_3-2-1_091076_2023-01-31_final
2023-02-03 09:11:42	ga_ls8c_ard_3-2-1_089077_2023-02-02_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-04-02 09:45:46	ga_ls8c_ard_3-2-1_095071_2023-04-02_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-04 11:13:51	ga_ls8c_ard_3-2-1_109075_2023-04-04_final
2023-04-13 11:08:18	ga_ls8c_ard_3-2-1_108077_2023-04-13_final
2023-04-29 11:07:26	ga_ls8c_ard_3-2-1_108075_2023-04-29_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-07-04 10:55:13	ga_ls8c_ard_3-2-1_106075_2023-07-04_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-08-01 11:20:09	ga_ls8c_ard_3-2-1_110075_2023-08-01_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-08-21 10:52:22	ga_ls8c_ard_3-2-1_106067_2023-08-21_final
2023-08-31 09:57:22	ga_ls8c_ard_3-2-1_096084_2023-08-31_final
2023-09-12 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-09-12_final
2023-09-12 11:57:49	ga_ls8c_ard_3-2-1_116076_2023-09-12_final
2023-09-13 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-09-12_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-10-29 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-10-29_final
2023-11-17 10:02:46	ga_ls8c_ard_3-2-1_098066_2023-11-17_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2024-01-17 09:34:10	ga_ls8c_ard_3-2-1_093072_2024-01-17_final
2024-02-02 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-02_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_final
2024-02-06 10:49:54	ga_ls8c_ard_3-2-1_105076_2024-02-06_final
2024-02-25 09:40:15	ga_ls8c_ard_3-2-1_094072_2024-02-25_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-02-28_final
2024-02-28 10:09:32	ga_ls8c_ard_3-2-1_099068_2024-02-28_final
2024-03-01 09:56:45	ga_ls8c_ard_3-2-1_097067_2024-03-01_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-06 11:57:40	ga_ls8c_ard_3-2-1_116076_2024-03-06_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