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
2013-08-26 11:39:42	ga_ls8c_ard_3-0-0_113072_2013-08-26_final
2014-06-28 11:29:24	ga_ls8c_ard_3-0-0_111083_2014-06-28_final
2015-01-20 11:37:38	ga_ls8c_ard_3-0-0_113072_2015-01-20_final
2015-09-03 11:25:54	ga_ls8c_ard_3-0-0_111074_2015-09-03_final
2015-09-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2015-09-26_final
2015-10-28 11:36:21	ga_ls8c_ard_3-0-0_112084_2015-10-28_final
2015-11-27 11:45:59	ga_ls8c_ard_3-0-0_114077_2015-11-27_final
2016-01-21 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-21_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2017-01-07 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-01-07_final
2017-03-28 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-03-28_final
2017-05-01 11:40:31	ga_ls8c_ard_3-0-0_113081_2017-05-01_final
2017-05-24 11:46:57	ga_ls8c_ard_3-0-0_114081_2017-05-24_final
2017-07-11 11:41:38	ga_ls8c_ard_3-0-0_114067_2017-07-11_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-03-31 11:50:40	ga_ls8c_ard_3-0-0_115075_2018-03-31_final
2018-04-16 11:52:30	ga_ls8c_ard_3-0-0_115080_2018-04-16_final
2018-12-23 11:34:32	ga_ls8c_ard_3-0-0_112080_2018-12-23_final
2019-06-10 11:25:53	ga_ls8c_ard_3-0-0_111074_2019-06-10_final
2019-08-13 11:29:00	ga_ls8c_ard_3-1-0_111081_2019-08-13_final
2019-10-12 11:53:11	ga_ls8c_ard_3-1-0_115079_2019-10-12_final
2019-11-24 11:32:11	ga_ls8c_ard_3-1-0_112073_2019-11-24_final
2020-01-07 11:57:59	ga_ls8c_ard_3-1-0_116076_2020-01-07_final
2020-01-09 10:02:45	ga_ls8c_ard_3-2-1_098066_2020-01-09_final
2020-02-28 11:36:14	ga_ls8c_ard_3-1-0_112084_2020-02-28_final
2020-03-11 11:57:41	ga_ls8c_ard_3-1-0_116076_2020-03-11_final
2020-04-05 11:51:16	ga_ls8c_ard_3-1-0_115076_2020-04-05_final
2020-08-24 09:45:30	ga_ls8c_ard_3-1-0_094085_2020-08-24_final
2020-09-28 11:53:30	ga_ls8c_ard_3-1-0_115080_2020-09-28_final
2020-12-28 09:52:05	ga_ls8c_ard_3-2-0_096070_2020-12-28_final
2021-01-01 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-01-01_final
2021-01-23 10:28:37	ga_ls8c_ard_3-2-0_102069_2021-01-23_final
2021-02-10 11:57:53	ga_ls8c_ard_3-2-0_116076_2021-02-10_final
2021-02-14 09:53:04	ga_ls8c_ard_3-2-0_096073_2021-02-14_final
2021-03-13 11:14:48	ga_ls8c_ard_3-2-0_109077_2021-03-13_final
2021-03-14 11:57:39	ga_ls8c_ard_3-2-0_116076_2021-03-14_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-04-05 11:23:39	ga_ls8c_ard_3-2-0_110084_2021-04-05_final
2021-04-10 11:40:58	ga_ls8c_ard_3-2-0_113081_2021-04-10_final
2021-05-03 11:45:45	ga_ls8c_ard_3-2-0_114078_2021-05-03_final
2021-05-23 09:39:29	ga_ls8c_ard_3-2-0_094071_2021-05-23_final
2021-06-22 11:29:44	ga_ls8c_ard_3-2-0_112068_2021-06-22_final
2021-07-19 09:33:59	ga_ls8c_ard_3-2-0_093072_2021-07-19_final
2021-07-21 09:22:03	ga_ls8c_ard_3-2-0_091073_2021-07-20_final
2021-08-01 09:07:35	ga_ls8c_ard_3-2-0_088083_2021-07-31_final
2021-08-18 11:29:50	ga_ls8c_ard_3-2-0_111083_2021-08-18_final
2021-09-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2021-09-17_final
2021-10-09 11:02:34	ga_ls8c_ard_3-2-0_107076_2021-10-09_final
2021-10-15 10:25:06	ga_ls8c_ard_3-2-0_101075_2021-10-15_final
2021-11-11 11:45:00	ga_ls8c_ard_3-2-0_114074_2021-11-11_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-11-26 09:28:25	ga_ls8c_ard_3-2-0_091088_2021-11-25_final
2021-12-01 09:40:59	ga_ls8c_ard_3-2-0_094073_2021-12-01_final
2021-12-13 11:47:46	ga_ls8c_ard_3-2-1_114081_2021-12-13_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-03-10 10:13:30	ga_ls8c_ard_3-2-1_099078_2022-03-10_final
2022-03-18 09:22:23	ga_ls8c_ard_3-2-1_091074_2022-03-17_final
2022-04-14 09:06:10	ga_ls8c_ard_3-2-1_088080_2022-04-13_final
2022-04-26 11:07:19	ga_ls8c_ard_3-2-1_108074_2022-04-26_final
2022-05-04 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-05-04_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-06-01 10:46:00	ga_ls8c_ard_3-2-1_104082_2022-06-01_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-06-30 10:10:58	ga_ls8c_ard_3-2-1_099071_2022-06-30_final
2022-09-12 09:17:07	ga_ls8c_ard_3-2-1_089090_2022-09-11_final
2022-10-06 10:01:21	ga_ls8c_ard_3-2-1_097077_2022-10-06_final
2022-10-30 09:16:45	ga_ls8c_ard_3-2-1_089089_2022-10-29_final
2022-11-06 10:56:13	ga_ls8c_ard_3-2-1_106075_2022-11-06_final
2022-11-24 10:42:58	ga_ls8c_ard_3-2-1_104073_2022-11-24_final
2022-12-01 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-12-01_final
2022-12-07 10:09:17	ga_ls8c_ard_3-2-1_099066_2022-12-07_final
2023-01-06 10:25:53	ga_ls8c_ard_3-2-1_101077_2023-01-06_final
2023-01-23 09:34:36	ga_ls8c_ard_3-2-1_092088_2023-01-23_final
2023-02-16 11:57:38	ga_ls8c_ard_3-2-1_116075_2023-02-16_final
2023-02-16 11:58:02	ga_ls8c_ard_3-2-1_116076_2023-02-16_final
2023-03-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2023-03-17_final
2023-03-21 09:26:21	ga_ls8c_ard_3-2-1_091084_2023-03-20_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-05-17 09:21:57	ga_ls8c_ard_3-2-1_090090_2023-05-16_final
2023-05-26 10:48:43	ga_ls8c_ard_3-2-1_105075_2023-05-26_final
2023-06-11 10:51:14	ga_ls8c_ard_3-2-1_105081_2023-06-11_final
2023-07-02 11:06:46	ga_ls8c_ard_3-2-1_108073_2023-07-02_final
2023-07-14 11:35:10	ga_ls8c_ard_3-2-1_112082_2023-07-14_final
2023-07-24 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-07-24_final
2023-08-04 10:15:46	ga_ls8c_ard_3-2-1_099084_2023-08-04_final
2023-08-06 09:56:38	ga_ls8c_ard_3-2-1_097067_2023-08-06_final
2023-08-14 09:15:36	ga_ls8c_ard_3-2-1_089088_2023-08-13_final
2023-08-21 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-08-21_final
2023-08-27 10:16:54	ga_ls8c_ard_3-2-1_100071_2023-08-27_final
2023-09-20 11:11:36	ga_ls8c_ard_3-2-1_108084_2023-09-20_final
2023-10-25 09:57:22	ga_ls8c_ard_3-2-1_097068_2023-10-25_final
2023-11-16 09:27:52	ga_ls8c_ard_3-2-1_091087_2023-11-15_final
2023-11-24 10:09:47	ga_ls8c_ard_3-2-1_099068_2023-11-24_final
2023-12-04 09:13:51	ga_ls8c_ard_3-2-1_089083_2023-12-03_final
2024-01-11 10:14:02	ga_ls8c_ard_3-2-1_099079_2024-01-11_final
2024-01-12 09:23:13	ga_ls8c_ard_3-2-1_090091_2024-01-11_final
2024-01-13 09:58:53	ga_ls8c_ard_3-2-1_097072_2024-01-13_final
2024-01-27 10:09:32	ga_ls8c_ard_3-2-1_099068_2024-01-27_final
2024-02-13 10:55:40	ga_ls8c_ard_3-2-1_106075_2024-02-13_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