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
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2015-03-07 11:52:54	ga_ls8c_ard_3-0-0_115080_2015-03-07_final
2015-03-10 09:07:11	ga_ls8c_ard_3-0-0_088083_2015-03-09_final
2015-03-23 11:52:45	ga_ls8c_ard_3-0-0_115080_2015-03-23_final
2015-04-05 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-05_final
2015-05-28 11:34:43	ga_ls8c_ard_3-0-0_113067_2015-05-28_final
2015-06-11 11:52:27	ga_ls8c_ard_3-0-0_115080_2015-06-11_final
2015-08-11 09:37:54	ga_ls8c_ard_3-0-0_094067_2015-08-11_final
2016-03-22 09:38:00	ga_ls8c_ard_3-0-0_094067_2016-03-22_final
2016-06-24 11:32:03	ga_ls8c_ard_3-0-0_112074_2016-06-24_final
2016-08-03 09:06:45	ga_ls8c_ard_3-1-0_088081_2016-08-02_final
2016-12-06 11:53:31	ga_ls8c_ard_3-0-0_115080_2016-12-06_final
2017-01-07 11:53:24	ga_ls8c_ard_3-0-0_115080_2017-01-07_final
2017-07-15 09:40:03	ga_ls8c_ard_3-0-0_094072_2017-07-15_final
2017-12-02 11:45:10	ga_ls8c_ard_3-0-0_114075_2017-12-02_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2017-12-09 10:08:52	ga_ls8c_ard_3-2-1_099066_2017-12-09_final
2018-05-18 11:52:11	ga_ls8c_ard_3-0-0_115080_2018-05-18_final
2018-08-17 11:30:55	ga_ls8c_ard_3-0-0_112072_2018-08-17_final
2018-11-10 11:53:08	ga_ls8c_ard_3-0-0_115080_2018-11-10_final
2019-03-02 11:52:53	ga_ls8c_ard_3-0-0_115080_2019-03-02_final
2019-05-24 09:07:11	ga_ls8c_ard_3-0-0_088083_2019-05-23_final
2019-08-25 11:53:23	ga_ls8c_ard_3-1-0_115080_2019-08-25_final
2019-09-07 09:38:27	ga_ls8c_ard_3-1-0_094067_2019-09-07_final
2019-10-28 11:53:36	ga_ls8c_ard_3-1-0_115080_2019-10-28_final
2019-11-29 11:53:31	ga_ls8c_ard_3-1-0_115080_2019-11-29_final
2019-12-08 10:02:52	ga_ls8c_ard_3-2-1_098066_2019-12-08_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2020-02-12 11:31:31	ga_ls8c_ard_3-1-0_112072_2020-02-12_final
2020-03-04 11:53:08	ga_ls8c_ard_3-1-0_115080_2020-03-04_final
2020-03-31 11:31:10	ga_ls8c_ard_3-1-0_112072_2020-03-31_final
2020-04-24 09:07:04	ga_ls8c_ard_3-1-0_088083_2020-04-23_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-12-01 11:53:33	ga_ls8c_ard_3-1-0_115080_2020-12-01_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-04-15 10:19:23	ga_ls8c_ard_3-2-0_100078_2021-04-15_final
2021-04-24 11:52:49	ga_ls8c_ard_3-2-0_115080_2021-04-24_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-08 11:20:06	ga_ls8c_ard_3-2-0_110075_2021-06-08_final
2021-06-28 09:22:34	ga_ls8c_ard_3-2-0_090090_2021-06-27_final
2021-07-26 11:17:55	ga_ls8c_ard_3-2-0_110069_2021-07-26_final
2021-07-29 10:13:09	ga_ls8c_ard_3-2-0_099077_2021-07-29_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-04 11:14:12	ga_ls8c_ard_3-2-0_109075_2021-08-04_final
2021-08-11 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-08-11_final
2021-08-14 10:13:16	ga_ls8c_ard_3-2-0_099077_2021-08-14_final
2021-08-24 10:49:35	ga_ls8c_ard_3-2-0_105075_2021-08-24_final
2021-08-30 10:14:08	ga_ls8c_ard_3-2-0_099079_2021-08-30_final
2021-09-15 11:53:29	ga_ls8c_ard_3-2-0_115080_2021-09-15_final
2021-09-25 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-10-08 10:19:42	ga_ls8c_ard_3-2-0_100077_2021-10-08_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2021-12-05 10:55:57	ga_ls8c_ard_3-2-1_106075_2021-12-05_final
2022-01-12 10:19:32	ga_ls8c_ard_3-2-1_100077_2022-01-12_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-01-31 10:49:32	ga_ls8c_ard_3-2-1_105075_2022-01-31_final
2022-02-20 10:27:30	ga_ls8c_ard_3-2-1_101082_2022-02-20_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-04-29 09:56:55	ga_ls8c_ard_3-2-1_097068_2022-04-29_final
2022-05-14 10:55:30	ga_ls8c_ard_3-2-1_106075_2022-05-14_final
2022-05-20 10:19:39	ga_ls8c_ard_3-2-1_100078_2022-05-20_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-09-19 10:56:14	ga_ls8c_ard_3-2-1_106075_2022-09-19_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-04 10:11:44	ga_ls8c_ard_3-2-1_099072_2022-10-04_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-11-02 11:24:32	ga_ls8c_ard_3-2-1_110084_2022-11-02_final
2023-02-26 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-02-25_final
2023-03-07 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-03-06_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-03-31 11:40:14	ga_ls8c_ard_3-2-1_113079_2023-03-31_final
2023-04-03 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-04-03_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-07-09 11:13:25	ga_ls8c_ard_3-2-1_109074_2023-07-09_final
2023-07-09 11:14:12	ga_ls8c_ard_3-2-1_109076_2023-07-09_final
2023-07-19 10:08:50	ga_ls8c_ard_3-2-1_099067_2023-07-19_final
2023-07-19 10:13:13	ga_ls8c_ard_3-2-1_099078_2023-07-19_final
2023-08-20 10:13:29	ga_ls8c_ard_3-2-1_099078_2023-08-20_final
2023-09-06 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-09-06_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_final
2023-09-20 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-09-19_final
2023-09-29 09:22:12	ga_ls8c_ard_3-2-1_091073_2023-09-28_final
2023-10-13 11:14:17	ga_ls8c_ard_3-2-1_109075_2023-10-13_final
2023-11-28 11:24:19	ga_ls8c_ard_3-2-1_111069_2023-11-28_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-27 10:55:47	ga_ls8c_ard_3-2-1_106075_2023-12-27_final
2023-12-30 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-12-30_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_final
2024-01-07 10:35:56	ga_ls8c_ard_3-2-1_103072_2024-01-07_final
2024-01-10 09:27:59	ga_ls8c_ard_3-2-1_092072_2024-01-09_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-16 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-02-16_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