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
2013-07-16 11:48:12	ga_ls8c_ard_3-0-0_114078_2013-07-16_final
2015-04-10 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-04-10_final
2015-04-17 11:44:48	ga_ls8c_ard_3-0-0_114076_2015-04-17_final
2015-05-19 11:46:27	ga_ls8c_ard_3-0-0_114081_2015-05-19_final
2015-07-13 11:50:20	ga_ls8c_ard_3-0-0_115074_2015-07-13_final
2015-12-20 11:51:21	ga_ls8c_ard_3-0-0_115075_2015-12-20_final
2016-04-12 11:38:03	ga_ls8c_ard_3-0-0_113074_2016-04-12_final
2016-04-17 11:58:09	ga_ls8c_ard_3-0-0_116078_2016-04-17_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2016-08-23 11:57:31	ga_ls8c_ard_3-0-0_116075_2016-08-23_final
2016-09-08 11:58:00	ga_ls8c_ard_3-0-0_116076_2016-09-08_final
2017-08-12 11:41:52	ga_ls8c_ard_3-0-0_114067_2017-08-12_final
2019-01-04 11:57:39	ga_ls8c_ard_3-0-0_116076_2019-01-04_final
2019-12-06 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-12-06_final
2019-12-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2019-12-15_final
2020-04-09 11:25:20	ga_ls8c_ard_3-1-0_111073_2020-04-09_final
2020-08-24 09:46:18	ga_ls8c_ard_3-1-0_094087_2020-08-24_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2020-12-09 11:04:55	ga_ls8c_ard_3-1-0_107082_2020-12-09_final
2020-12-11 10:48:33	ga_ls8c_ard_3-1-0_105072_2020-12-11_final
2020-12-12 09:50:56	ga_ls8c_ard_3-1-0_096067_2020-12-12_final
2021-01-06 11:27:08	ga_ls8c_ard_3-2-0_111076_2021-01-06_final
2021-01-09 10:19:31	ga_ls8c_ard_3-2-0_100077_2021-01-09_final
2021-01-13 09:52:47	ga_ls8c_ard_3-2-0_096072_2021-01-13_final
2021-01-23 10:33:00	ga_ls8c_ard_3-2-0_102080_2021-01-23_final
2021-02-03 10:09:15	ga_ls8c_ard_3-2-0_099067_2021-02-03_final
2021-02-11 11:00:40	ga_ls8c_ard_3-2-0_107072_2021-02-11_final
2021-02-11 11:01:04	ga_ls8c_ard_3-2-0_107073_2021-02-11_final
2021-02-13 09:11:24	ga_ls8c_ard_3-2-0_089077_2021-02-12_final
2021-02-26 10:22:06	ga_ls8c_ard_3-2-0_100084_2021-02-26_final
2021-02-27 11:01:46	ga_ls8c_ard_3-2-0_107075_2021-02-27_final
2021-03-15 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-03-14_final
2021-03-26 09:07:20	ga_ls8c_ard_3-2-0_088083_2021-03-25_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-04-10 10:03:17	ga_ls8c_ard_3-2-0_097084_2021-04-10_final
2021-04-14 11:14:13	ga_ls8c_ard_3-2-0_109076_2021-04-14_final
2021-04-26 11:35:15	ga_ls8c_ard_3-2-0_113067_2021-04-26_final
2021-05-11 10:53:55	ga_ls8c_ard_3-2-0_106072_2021-05-11_final
2021-06-09 10:27:17	ga_ls8c_ard_3-2-0_101082_2021-06-09_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-06-28 10:57:52	ga_ls8c_ard_3-2-0_106081_2021-06-28_final
2021-07-11 10:27:23	ga_ls8c_ard_3-2-0_101082_2021-07-11_final
2021-07-12 11:07:51	ga_ls8c_ard_3-2-0_108075_2021-07-12_final
2021-07-23 10:48:11	ga_ls8c_ard_3-2-0_105072_2021-07-23_final
2021-08-02 09:45:40	ga_ls8c_ard_3-2-0_095070_2021-08-02_final
2021-08-06 09:28:10	ga_ls8c_ard_3-2-0_091088_2021-08-05_final
2021-08-09 11:34:46	ga_ls8c_ard_3-2-0_112080_2021-08-09_final
2021-08-24 10:46:24	ga_ls8c_ard_3-2-0_105067_2021-08-24_final
2021-08-29 09:32:04	ga_ls8c_ard_3-2-0_092082_2021-08-29_final
2021-08-30 10:10:56	ga_ls8c_ard_3-2-0_099071_2021-08-30_final
2021-09-04 10:30:42	ga_ls8c_ard_3-2-0_102074_2021-09-04_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2021-09-16_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-25 10:51:19	ga_ls8c_ard_3-2-0_105079_2021-09-25_final
2021-10-09 09:22:53	ga_ls8c_ard_3-2-0_091074_2021-10-08_final
2021-10-12 11:36:16	ga_ls8c_ard_3-2-0_112083_2021-10-12_final
2021-10-17 10:14:45	ga_ls8c_ard_3-2-0_099080_2021-10-17_final
2021-10-26 10:09:46	ga_ls8c_ard_3-2-0_098083_2021-10-26_final
2021-11-02 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-11-02_final
2021-11-19 09:19:25	ga_ls8c_ard_3-2-0_090081_2021-11-18_final
2021-11-24 11:12:05	ga_ls8c_ard_3-2-0_109069_2021-11-24_final
2021-12-01 09:42:11	ga_ls8c_ard_3-2-0_094076_2021-12-01_final
2021-12-29 10:09:36	ga_ls8c_ard_3-2-1_098083_2021-12-29_final
2022-01-15 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-01-15_final
2022-02-19 09:40:40	ga_ls8c_ard_3-2-1_094073_2022-02-19_final
2022-02-22 11:51:38	ga_ls8c_ard_3-2-1_115076_2022-02-22_final
2022-03-16 11:14:51	ga_ls8c_ard_3-2-1_109077_2022-03-16_final
2022-03-18 11:05:15	ga_ls8c_ard_3-2-1_107084_2022-03-18_final
2022-03-30 11:28:13	ga_ls8c_ard_3-2-1_111080_2022-03-30_final
2022-05-13 10:15:50	ga_ls8c_ard_3-2-1_099084_2022-05-13_final
2022-05-30 10:57:32	ga_ls8c_ard_3-2-1_106080_2022-05-30_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-07-01 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-06-30_final
2022-07-15 11:10:57	ga_ls8c_ard_3-2-1_108082_2022-07-15_final
2022-07-24 11:04:30	ga_ls8c_ard_3-2-1_107081_2022-07-24_final
2022-08-03 11:40:53	ga_ls8c_ard_3-2-1_113079_2022-08-03_final
2022-08-18 10:53:43	ga_ls8c_ard_3-2-1_106069_2022-08-18_final
2022-10-08 09:51:46	ga_ls8c_ard_3-2-1_095084_2022-10-08_final
2022-10-14 09:12:12	ga_ls8c_ard_3-2-1_089078_2022-10-13_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-10-24 09:50:36	ga_ls8c_ard_3-2-1_095081_2022-10-24_final
2022-10-26 11:14:45	ga_ls8c_ard_3-2-1_109075_2022-10-26_final
2022-10-27 11:58:25	ga_ls8c_ard_3-2-1_116076_2022-10-27_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-11-10 10:33:52	ga_ls8c_ard_3-2-1_102081_2022-11-10_final
2022-12-25 10:04:20	ga_ls8c_ard_3-2-1_097085_2022-12-25_final
2022-12-27 11:30:29	ga_ls8c_ard_3-2-1_111084_2022-12-27_final
2023-01-23 09:30:12	ga_ls8c_ard_3-2-1_092077_2023-01-23_final
2023-02-09 10:09:52	ga_ls8c_ard_3-2-1_099068_2023-02-09_final
2023-02-13 11:25:35	ga_ls8c_ard_3-2-1_111072_2023-02-13_final
2023-02-15 11:14:23	ga_ls8c_ard_3-2-1_109075_2023-02-15_final
2023-02-19 10:50:00	ga_ls8c_ard_3-2-1_105076_2023-02-19_final
2023-02-28 10:45:17	ga_ls8c_ard_3-2-1_104080_2023-02-28_final
2023-03-07 10:46:13	ga_ls8c_ard_3-2-1_105067_2023-03-07_final
2023-04-02 11:27:02	ga_ls8c_ard_3-2-1_111077_2023-04-02_final
2023-04-11 11:23:27	ga_ls8c_ard_3-2-1_110084_2023-04-11_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-04-17 10:44:45	ga_ls8c_ard_3-2-1_104080_2023-04-17_final
2023-05-02 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-05-02_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