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
2018-09-26 09:04:26	ga_ls8c_ard_3-2-1_088076_2018-09-25_interim
2020-02-01 10:08:49	ga_ls8c_ard_3-2-1_099066_2020-02-01_final
2020-08-13 09:57:33	ga_ls8c_ard_3-1-0_097069_2020-08-13_final
2020-11-15 10:10:13	ga_ls8c_ard_3-1-0_099069_2020-11-15_final
2020-12-30 09:38:31	ga_ls8c_ard_3-2-0_094067_2020-12-30_final
2021-01-12 10:50:00	ga_ls8c_ard_3-2-0_105076_2021-01-12_final
2021-01-24 11:14:16	ga_ls8c_ard_3-2-0_109075_2021-01-24_final
2021-02-02 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-02-02_final
2021-02-12 10:05:02	ga_ls8c_ard_3-2-0_098072_2021-02-12_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-03-20 09:39:38	ga_ls8c_ard_3-2-0_094071_2021-03-20_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-04-16 09:19:46	ga_ls8c_ard_3-2-0_091068_2021-04-15_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-05-10 10:10:15	ga_ls8c_ard_3-2-0_099071_2021-05-10_final
2021-05-27 09:16:48	ga_ls8c_ard_3-2-0_090076_2021-05-26_final
2021-06-03 09:21:26	ga_ls8c_ard_3-2-0_091072_2021-06-02_final
2021-07-21 09:22:03	ga_ls8c_ard_3-2-0_091073_2021-07-20_final
2021-08-05 11:57:52	ga_ls8c_ard_3-2-0_116076_2021-08-05_final
2021-08-21 11:57:58	ga_ls8c_ard_3-2-0_116076_2021-08-21_final
2021-09-01 11:38:40	ga_ls8c_ard_3-2-0_113074_2021-09-01_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-09-21 09:34:44	ga_ls8c_ard_3-2-0_093073_2021-09-21_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-10-29 10:40:16	ga_ls8c_ard_3-2-0_103082_2021-10-29_final
2021-11-03 10:53:13	ga_ls8c_ard_3-2-0_106068_2021-11-03_final
2021-12-03 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-12-03_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2021-12-22 09:57:53	ga_ls8c_ard_3-2-1_097069_2021-12-22_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2022-01-05 10:10:10	ga_ls8c_ard_3-2-1_099069_2022-01-05_final
2022-01-21 11:52:59	ga_ls8c_ard_3-2-1_115079_2022-01-21_final
2022-01-22 09:17:17	ga_ls8c_ard_3-2-1_090076_2022-01-21_final
2022-01-23 11:38:37	ga_ls8c_ard_3-2-1_113074_2022-01-23_final
2022-02-05 09:34:23	ga_ls8c_ard_3-2-1_092088_2022-02-05_final
2022-02-07 10:58:54	ga_ls8c_ard_3-2-1_106083_2022-02-07_final
2022-02-21 11:07:58	ga_ls8c_ard_3-2-1_108075_2022-02-21_final
2022-04-12 09:17:19	ga_ls8c_ard_3-2-1_090077_2022-04-11_final
2022-04-15 11:25:08	ga_ls8c_ard_3-2-1_111072_2022-04-15_final
2022-04-26 09:34:02	ga_ls8c_ard_3-2-1_092088_2022-04-26_final
2022-05-21 09:27:37	ga_ls8c_ard_3-2-1_091087_2022-05-20_final
2022-05-21 10:59:43	ga_ls8c_ard_3-2-1_107070_2022-05-21_final
2022-05-22 10:03:17	ga_ls8c_ard_3-2-1_098068_2022-05-22_final
2022-06-22 09:27:29	ga_ls8c_ard_3-2-1_091086_2022-06-21_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-07-11 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-07-11_final
2022-07-22 11:18:02	ga_ls8c_ard_3-2-1_109084_2022-07-22_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-08-23 09:34:59	ga_ls8c_ard_3-2-1_093073_2022-08-23_final
2022-09-29 11:32:54	ga_ls8c_ard_3-2-1_112074_2022-09-29_final
2022-10-11 10:19:50	ga_ls8c_ard_3-2-1_100077_2022-10-11_final
2022-10-12 11:00:17	ga_ls8c_ard_3-2-1_107070_2022-10-12_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2022-10-30 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-10-30_final
2022-11-05 10:11:22	ga_ls8c_ard_3-2-1_099071_2022-11-05_final
2022-11-05 11:51:51	ga_ls8c_ard_3-2-1_115075_2022-11-05_final
2022-11-05 11:53:27	ga_ls8c_ard_3-2-1_115079_2022-11-05_final
2022-11-20 09:33:11	ga_ls8c_ard_3-2-1_092084_2022-11-20_final
2022-12-14 10:20:12	ga_ls8c_ard_3-2-1_100078_2022-12-14_final
2023-01-08 11:53:12	ga_ls8c_ard_3-2-1_115079_2023-01-08_final
2023-01-14 11:14:27	ga_ls8c_ard_3-2-1_109075_2023-01-14_final
2023-01-16 11:00:28	ga_ls8c_ard_3-2-1_107071_2023-01-16_final
2023-01-18 09:11:59	ga_ls8c_ard_3-2-1_089078_2023-01-17_final
2023-01-30 11:13:19	ga_ls8c_ard_3-2-1_109072_2023-01-30_final
2023-02-09 10:11:28	ga_ls8c_ard_3-2-1_099072_2023-02-09_final
2023-02-25 11:52:27	ga_ls8c_ard_3-2-1_115078_2023-02-25_final
2023-03-01 09:46:28	ga_ls8c_ard_3-2-1_095072_2023-03-01_final
2023-03-15 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-03-15_final
2023-04-20 11:14:02	ga_ls8c_ard_3-2-1_109076_2023-04-20_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-06-02 09:22:00	ga_ls8c_ard_3-2-1_090090_2023-06-01_final
2023-06-09 09:26:41	ga_ls8c_ard_3-2-1_091086_2023-06-08_final
2023-06-10 10:06:45	ga_ls8c_ard_3-2-1_098078_2023-06-10_final
2023-06-17 10:08:36	ga_ls8c_ard_3-2-1_099067_2023-06-17_final
2023-06-23 09:33:55	ga_ls8c_ard_3-2-1_093073_2023-06-23_final
2023-07-09 09:39:43	ga_ls8c_ard_3-2-1_093087_2023-07-09_final
2023-08-22 11:41:37	ga_ls8c_ard_3-2-1_113082_2023-08-22_final
2023-08-26 11:14:31	ga_ls8c_ard_3-2-1_109076_2023-08-26_final
2023-08-30 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-08-30_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-10-17 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-10-16_final
2023-10-28 10:30:17	ga_ls8c_ard_3-2-1_102073_2023-10-28_final
2023-11-08 11:52:33	ga_ls8c_ard_3-2-1_115078_2023-11-08_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-11-17 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-17_final
2023-11-23 11:08:12	ga_ls8c_ard_3-2-1_108075_2023-11-23_final
2023-11-24 11:53:03	ga_ls8c_ard_3-2-1_115079_2023-11-24_final
2023-12-03 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-12-03_final
2023-12-04 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-12-04_final
2023-12-20 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-12-19_final
2023-12-29 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-28_final
2024-01-05 10:49:52	ga_ls8c_ard_3-2-1_105076_2024-01-05_final
2024-01-19 10:59:52	ga_ls8c_ard_3-2-1_107070_2024-01-19_final
2024-01-19 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-19_final
2024-01-29 11:38:28	ga_ls8c_ard_3-2-1_113074_2024-01-29_final
2024-02-12 10:10:01	ga_ls8c_ard_3-2-1_099069_2024-02-12_final
2024-02-14 09:56:51	ga_ls8c_ard_3-2-1_097067_2024-02-14_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