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
2014-01-15 11:53:33	ga_ls8c_ard_3-0-0_115078_2014-01-15_final
2014-01-21 11:13:40	ga_ls8c_ard_3-0-0_109071_2014-01-21_final
2014-02-27 11:36:56	ga_ls8c_ard_3-0-0_112084_2014-02-27_final
2014-04-18 11:17:50	ga_ls8c_ard_3-0-0_110069_2014-04-18_final
2015-01-05 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-01-05_final
2015-07-29 11:52:25	ga_ls8c_ard_3-0-0_115079_2015-07-29_final
2015-09-20 10:33:37	ga_ls8c_ard_3-0-0_102082_2015-09-20_final
2016-06-15 11:35:21	ga_ls8c_ard_3-0-0_113067_2016-06-15_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-12-10 11:25:59	ga_ls8c_ard_3-0-0_111073_2016-12-10_final
2017-05-12 11:22:05	ga_ls8c_ard_3-0-0_110081_2017-05-12_final
2017-06-27 11:31:14	ga_ls8c_ard_3-0-0_112072_2017-06-27_final
2017-08-20 10:58:51	ga_ls8c_ard_3-0-0_106083_2017-08-20_final
2017-12-04 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-12-04_final
2018-01-11 10:52:52	ga_ls8c_ard_3-0-0_106068_2018-01-11_final
2018-03-09 10:46:38	ga_ls8c_ard_3-0-0_105069_2018-03-09_final
2018-03-12 11:16:43	ga_ls8c_ard_3-0-0_110067_2018-03-12_final
2018-04-18 11:41:19	ga_ls8c_ard_3-0-0_113083_2018-04-18_final
2018-06-14 11:31:09	ga_ls8c_ard_3-0-0_112074_2018-06-14_final
2018-07-09 11:23:13	ga_ls8c_ard_3-0-0_111069_2018-07-09_final
2018-07-16 11:31:26	ga_ls8c_ard_3-0-0_112074_2018-07-16_final
2018-10-20 11:31:20	ga_ls8c_ard_3-0-0_112072_2018-10-20_final
2018-12-05 11:41:44	ga_ls8c_ard_3-0-0_114067_2018-12-05_final
2019-06-17 11:30:30	ga_ls8c_ard_3-1-0_112070_2019-06-17_final
2019-06-24 11:39:31	ga_ls8c_ard_3-1-0_113077_2019-06-24_final
2019-07-27 10:46:02	ga_ls8c_ard_3-1-0_104082_2019-07-27_final
2019-08-31 11:16:43	ga_ls8c_ard_3-1-0_109081_2019-08-31_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-10-12 11:51:35	ga_ls8c_ard_3-1-0_115075_2019-10-12_final
2019-11-05 11:00:33	ga_ls8c_ard_3-1-0_107071_2019-11-05_final
2019-11-07 10:49:23	ga_ls8c_ard_3-1-0_105074_2019-11-07_final
2019-11-08 11:31:03	ga_ls8c_ard_3-1-0_112070_2019-11-08_final
2019-11-20 11:58:54	ga_ls8c_ard_3-1-0_116078_2019-11-20_final
2019-12-26 11:30:55	ga_ls8c_ard_3-1-0_112070_2019-12-26_final
2019-12-31 11:51:26	ga_ls8c_ard_3-1-0_115075_2019-12-31_final
2020-05-19 10:33:41	ga_ls8c_ard_3-1-0_103068_2020-05-19_final
2020-09-03 11:58:45	ga_ls8c_ard_3-1-0_116078_2020-09-03_final
2020-09-18 11:14:23	ga_ls8c_ard_3-1-0_109075_2020-09-18_final
2020-09-22 10:49:41	ga_ls8c_ard_3-1-0_105075_2020-09-22_final
2020-10-08 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-10-08_final
2020-11-30 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-11-29_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2021-04-19 11:31:08	ga_ls8c_ard_3-2-0_112072_2021-04-19_final
2021-04-20 10:39:05	ga_ls8c_ard_3-2-0_103081_2021-04-20_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-06-10 09:32:51	ga_ls8c_ard_3-2-0_092085_2021-06-10_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-08 09:11:25	ga_ls8c_ard_3-2-0_089077_2021-08-07_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-10-27 09:16:56	ga_ls8c_ard_3-2-0_089090_2021-10-26_final
2021-11-24 11:14:28	ga_ls8c_ard_3-2-0_109075_2021-11-24_final
2022-01-16 11:32:29	ga_ls8c_ard_3-2-1_112074_2022-01-16_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-03-16 11:14:03	ga_ls8c_ard_3-2-1_109075_2022-03-16_final
2022-03-25 09:30:28	ga_ls8c_ard_3-2-1_092079_2022-03-25_final
2022-04-27 10:09:42	ga_ls8c_ard_3-2-1_099069_2022-04-27_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-07-02 09:59:00	ga_ls8c_ard_3-2-1_097072_2022-07-02_final
2022-08-08 10:20:11	ga_ls8c_ard_3-2-1_100078_2022-08-08_final
2022-08-12 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-08-12_final
2022-08-23 11:14:40	ga_ls8c_ard_3-2-1_109075_2022-08-23_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-11-24 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-11-23_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2022-11-29 09:27:02	ga_ls8c_ard_3-2-1_091084_2022-11-28_final
2022-11-30 10:05:30	ga_ls8c_ard_3-2-1_098072_2022-11-30_final
2022-12-06 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-12-05_final
2022-12-08 09:17:15	ga_ls8c_ard_3-2-1_090075_2022-12-07_final
2022-12-11 11:30:36	ga_ls8c_ard_3-2-1_111084_2022-12-11_final
2022-12-17 09:14:34	ga_ls8c_ard_3-2-1_089084_2022-12-16_final
2023-01-24 10:11:29	ga_ls8c_ard_3-2-1_099072_2023-01-24_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-02-01 09:28:03	ga_ls8c_ard_3-2-1_091087_2023-01-31_final
2023-02-02 10:06:07	ga_ls8c_ard_3-2-1_098074_2023-02-02_final
2023-03-31 11:41:26	ga_ls8c_ard_3-2-1_113082_2023-03-31_final
2023-04-14 10:09:05	ga_ls8c_ard_3-2-1_099068_2023-04-14_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-06-17 11:51:52	ga_ls8c_ard_3-2-1_115078_2023-06-17_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-03 10:09:33	ga_ls8c_ard_3-2-1_099069_2023-07-03_final
2023-09-04 09:27:50	ga_ls8c_ard_3-2-1_092072_2023-09-03_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-10-04 11:18:02	ga_ls8c_ard_3-2-1_110069_2023-10-04_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-10-11 09:46:34	ga_ls8c_ard_3-2-1_095072_2023-10-11_final
2023-11-02 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-01_final
2023-11-03 11:31:41	ga_ls8c_ard_3-2-1_112072_2023-11-03_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-12-23 11:24:07	ga_ls8c_ard_3-2-1_110084_2023-12-23_final
2024-01-12 10:52:31	ga_ls8c_ard_3-2-1_106067_2024-01-12_final
2024-01-27 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-01-27_final
2024-01-30 10:42:28	ga_ls8c_ard_3-2-1_104073_2024-01-30_final
2024-02-06 09:12:13	ga_ls8c_ard_3-2-1_089079_2024-02-05_final
2024-02-11 09:34:21	ga_ls8c_ard_3-2-1_092088_2024-02-11_final
2024-02-12 10:14:01	ga_ls8c_ard_3-2-1_099079_2024-02-12_final
2024-03-11 10:39:17	ga_ls8c_ard_3-2-1_103081_2024-03-11_final
2024-03-15 10:13:45	ga_ls8c_ard_3-2-1_099079_2024-03-15_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