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
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2014-01-31 11:52:41	ga_ls8c_ard_3-0-0_115076_2014-01-31_final
2014-12-21 11:26:37	ga_ls8c_ard_3-0-0_111075_2014-12-21_final
2014-12-25 11:00:16	ga_ls8c_ard_3-0-0_107071_2014-12-25_final
2015-01-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2015-01-29_final
2015-05-18 11:03:59	ga_ls8c_ard_3-0-0_107083_2015-05-18_final
2015-05-30 11:22:46	ga_ls8c_ard_3-0-0_111068_2015-05-30_final
2015-11-22 11:24:38	ga_ls8c_ard_3-0-0_111070_2015-11-22_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2016-01-09 11:24:33	ga_ls8c_ard_3-0-0_111070_2016-01-09_final
2016-03-04 11:30:33	ga_ls8c_ard_3-0-0_112070_2016-03-04_final
2016-07-03 11:26:21	ga_ls8c_ard_3-0-0_111075_2016-07-03_final
2016-07-23 11:04:57	ga_ls8c_ard_3-0-0_107083_2016-07-23_final
2017-10-19 11:17:25	ga_ls8c_ard_3-0-0_110067_2017-10-19_final
2017-10-26 11:24:48	ga_ls8c_ard_3-0-0_111070_2017-10-26_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2018-03-10 11:30:17	ga_ls8c_ard_3-0-0_112070_2018-03-10_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-04-27 11:31:04	ga_ls8c_ard_3-0-0_112073_2018-04-27_final
2018-07-16 11:31:26	ga_ls8c_ard_3-0-0_112074_2018-07-16_final
2018-07-23 11:41:39	ga_ls8c_ard_3-0-0_113084_2018-07-23_final
2018-09-18 11:31:06	ga_ls8c_ard_3-0-0_112072_2018-09-18_final
2018-10-20 11:31:44	ga_ls8c_ard_3-0-0_112073_2018-10-20_final
2018-12-12 11:51:05	ga_ls8c_ard_3-0-0_115075_2018-12-12_final
2019-01-08 11:31:44	ga_ls8c_ard_3-0-0_112073_2019-01-08_final
2019-09-01 11:58:47	ga_ls8c_ard_3-1-0_116078_2019-09-01_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-03-02 09:50:34	ga_ls8c_ard_3-2-0_096067_2021-03-02_final
2021-03-27 11:27:29	ga_ls8c_ard_3-2-0_111078_2021-03-27_final
2021-03-29 09:39:49	ga_ls8c_ard_3-2-0_093087_2021-03-29_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-05-02 09:25:12	ga_ls8c_ard_3-2-0_091082_2021-05-01_final
2021-06-12 10:55:48	ga_ls8c_ard_3-2-0_106076_2021-06-12_final
2021-08-13 09:32:47	ga_ls8c_ard_3-2-0_092084_2021-08-13_final
2021-10-03 11:41:13	ga_ls8c_ard_3-2-0_113080_2021-10-03_final
2021-10-03 11:41:37	ga_ls8c_ard_3-2-0_113081_2021-10-03_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-12-05 10:56:45	ga_ls8c_ard_3-2-1_106077_2021-12-05_final
2021-12-30 10:52:51	ga_ls8c_ard_3-2-1_105083_2021-12-30_final
2021-12-31 11:31:43	ga_ls8c_ard_3-2-1_112072_2021-12-31_final
2022-01-15 10:48:26	ga_ls8c_ard_3-2-1_105072_2022-01-15_final
2022-02-08 09:57:17	ga_ls8c_ard_3-2-1_097068_2022-02-08_final
2022-03-27 09:22:04	ga_ls8c_ard_3-2-1_090089_2022-03-26_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-05-05 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-05-04_final
2022-05-05 09:27:06	ga_ls8c_ard_3-2-1_091086_2022-05-04_final
2022-05-13 10:13:26	ga_ls8c_ard_3-2-1_099078_2022-05-13_final
2022-05-21 09:27:37	ga_ls8c_ard_3-2-1_091087_2022-05-20_final
2022-06-16 09:58:09	ga_ls8c_ard_3-2-1_097070_2022-06-16_final
2022-07-01 10:58:37	ga_ls8c_ard_3-2-1_106082_2022-07-01_final
2022-07-14 10:22:54	ga_ls8c_ard_3-2-1_101070_2022-07-14_final
2022-08-03 11:41:17	ga_ls8c_ard_3-2-1_113080_2022-08-03_final
2022-09-19 09:17:45	ga_ls8c_ard_3-2-1_090076_2022-09-18_final
2022-09-20 09:58:13	ga_ls8c_ard_3-2-1_097069_2022-09-20_final
2022-10-03 11:10:10	ga_ls8c_ard_3-2-1_108079_2022-10-03_final
2022-10-05 12:31:53	ga_ls8c_ard_3-2-1_122067_2022-10-05_final
2022-10-13 10:04:15	ga_ls8c_ard_3-2-1_098069_2022-10-13_final
2022-10-14 10:48:18	ga_ls8c_ard_3-2-1_105071_2022-10-14_final
2022-10-20 10:12:06	ga_ls8c_ard_3-2-1_099073_2022-10-20_final
2022-11-04 09:32:30	ga_ls8c_ard_3-2-1_092082_2022-11-04_final
2023-01-09 09:23:05	ga_ls8c_ard_3-2-1_090090_2023-01-08_final
2023-01-25 10:56:21	ga_ls8c_ard_3-2-1_106076_2023-01-25_final
2023-01-31 10:18:05	ga_ls8c_ard_3-2-1_100073_2023-01-31_final
2023-03-20 10:20:48	ga_ls8c_ard_3-2-1_100081_2023-03-20_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2023-05-03 09:06:11	ga_ls8c_ard_3-2-1_088081_2023-05-02_final
2023-05-31 09:27:10	ga_ls8c_ard_3-2-1_092072_2023-05-30_final
2023-06-21 09:45:52	ga_ls8c_ard_3-2-1_095072_2023-06-21_final
2023-07-12 10:02:39	ga_ls8c_ard_3-2-1_098067_2023-07-12_final
2023-07-24 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-07-24_final
2023-08-14 09:12:01	ga_ls8c_ard_3-2-1_089079_2023-08-13_final
2023-08-21 09:22:16	ga_ls8c_ard_3-2-1_090089_2023-08-20_final
2023-08-22 09:57:57	ga_ls8c_ard_3-2-1_097070_2023-08-22_final
2023-08-23 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-08-22_final
2023-09-02 09:39:49	ga_ls8c_ard_3-2-1_094071_2023-09-02_final
2023-09-05 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-09-05_final
2023-09-07 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-09-07_final
2023-09-22 10:55:15	ga_ls8c_ard_3-2-1_106074_2023-09-22_final
2023-09-27 09:33:45	ga_ls8c_ard_3-2-1_093071_2023-09-27_final
2023-09-29 11:01:53	ga_ls8c_ard_3-2-1_107075_2023-09-29_final
2023-10-17 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-10-16_final
2023-10-22 11:06:07	ga_ls8c_ard_3-2-1_108070_2023-10-22_final
2023-10-31 09:28:17	ga_ls8c_ard_3-2-1_091088_2023-10-30_final
2023-11-01 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-01_final
2023-11-16 09:27:52	ga_ls8c_ard_3-2-1_091087_2023-11-15_final
2023-11-17 10:04:21	ga_ls8c_ard_3-2-1_098070_2023-11-17_final
2023-11-18 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-17_final
2023-11-27 09:06:59	ga_ls8c_ard_3-2-1_088081_2023-11-26_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_final
2023-12-02 09:26:39	ga_ls8c_ard_3-2-1_091084_2023-12-01_final
2023-12-24 10:28:05	ga_ls8c_ard_3-2-1_101083_2023-12-24_final
2024-01-19 09:26:35	ga_ls8c_ard_3-2-1_091084_2024-01-18_final
2024-01-30 10:42:28	ga_ls8c_ard_3-2-1_104073_2024-01-30_final
2024-02-05 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-02-05_final
2024-02-13 09:23:10	ga_ls8c_ard_3-2-1_090091_2024-02-12_final
2024-02-26 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-02-26_final
2024-03-07 09:22:44	ga_ls8c_ard_3-2-1_091075_2024-03-06_final
2024-03-28 11:23:29	ga_ls8c_ard_3-2-1_110084_2024-03-28_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