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
2013-11-16 09:51:41	ga_ls8c_ard_3-0-0_095081_2013-11-16_final
2013-12-18 09:45:54	ga_ls8c_ard_3-0-0_095067_2013-12-18_final
2014-01-24 11:46:09	ga_ls8c_ard_3-0-0_114075_2014-01-24_final
2014-11-01 11:35:50	ga_ls8c_ard_3-0-0_113067_2014-11-01_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-12-01 11:52:36	ga_ls8c_ard_3-0-0_115078_2014-12-01_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2016-08-29 09:39:59	ga_ls8c_ard_3-0-0_094071_2016-08-29_final
2017-01-20 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-01-20_final
2017-09-08 09:52:30	ga_ls8c_ard_3-0-0_095087_2017-09-08_final
2017-09-22 11:42:12	ga_ls8c_ard_3-0-0_113083_2017-09-22_final
2018-01-30 09:46:18	ga_ls8c_ard_3-0-0_095072_2018-01-30_final
2018-03-15 11:51:10	ga_ls8c_ard_3-0-0_115076_2018-03-15_final
2018-04-04 09:45:26	ga_ls8c_ard_3-0-0_095071_2018-04-04_final
2018-11-07 09:45:20	ga_ls8c_ard_3-0-0_094085_2018-11-07_final
2019-03-18 11:52:23	ga_ls8c_ard_3-1-0_115079_2019-03-18_final
2019-05-23 11:37:18	ga_ls8c_ard_3-0-0_113072_2019-05-23_final
2019-12-08 11:45:44	ga_ls8c_ard_3-1-0_114076_2019-12-08_final
2020-01-18 11:35:49	ga_ls8c_ard_3-1-0_113067_2020-01-18_final
2020-02-05 09:44:28	ga_ls8c_ard_3-1-0_095067_2020-02-05_final
2020-03-22 11:38:15	ga_ls8c_ard_3-1-0_113074_2020-03-22_final
2020-04-25 09:51:55	ga_ls8c_ard_3-1-0_095087_2020-04-25_final
2020-05-26 09:06:35	ga_ls8c_ard_3-1-0_088082_2020-05-25_final
2020-07-07 09:45:38	ga_ls8c_ard_3-1-0_094086_2020-07-07_final
2020-07-29 09:07:28	ga_ls8c_ard_3-1-0_088083_2020-07-28_final
2020-10-02 09:47:55	ga_ls8c_ard_3-1-0_095075_2020-10-02_final
2020-10-02 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-10-02_final
2021-03-25 09:58:34	ga_ls8c_ard_3-2-0_097072_2021-03-25_final
2021-04-05 11:23:15	ga_ls8c_ard_3-2-0_110083_2021-04-05_final
2021-06-03 09:21:50	ga_ls8c_ard_3-2-0_091073_2021-06-02_final
2021-06-20 10:09:11	ga_ls8c_ard_3-2-0_098083_2021-06-20_final
2021-06-23 10:35:43	ga_ls8c_ard_3-2-0_103072_2021-06-23_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-07-05 09:22:23	ga_ls8c_ard_3-2-0_091074_2021-07-04_final
2021-07-06 10:03:15	ga_ls8c_ard_3-2-0_098068_2021-07-06_final
2021-07-09 10:35:45	ga_ls8c_ard_3-2-0_103072_2021-07-09_final
2021-07-12 09:25:47	ga_ls8c_ard_3-2-0_092067_2021-07-11_final
2021-07-17 11:24:25	ga_ls8c_ard_3-2-0_111070_2021-07-17_final
2021-07-19 11:17:39	ga_ls8c_ard_3-2-0_109084_2021-07-19_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-08-11 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-08-11_final
2021-08-29 11:11:21	ga_ls8c_ard_3-2-0_108083_2021-08-29_final
2021-09-23 09:23:11	ga_ls8c_ard_3-2-0_091075_2021-09-22_final
2021-09-26 11:35:47	ga_ls8c_ard_3-2-0_112082_2021-09-26_final
2021-11-02 10:14:20	ga_ls8c_ard_3-2-0_099079_2021-11-02_final
2021-11-03 09:18:19	ga_ls8c_ard_3-2-0_090078_2021-11-02_final
2021-12-02 10:23:27	ga_ls8c_ard_3-2-0_101071_2021-12-02_final
2021-12-11 10:17:16	ga_ls8c_ard_3-2-1_100071_2021-12-11_final
2022-01-13 11:04:23	ga_ls8c_ard_3-2-1_107081_2022-01-13_final
2022-01-21 10:11:43	ga_ls8c_ard_3-2-1_099073_2022-01-21_final
2022-01-30 10:07:52	ga_ls8c_ard_3-2-1_098079_2022-01-30_final
2022-02-02 10:35:11	ga_ls8c_ard_3-2-1_103070_2022-02-02_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-04-27 10:10:54	ga_ls8c_ard_3-2-1_099072_2022-04-27_final
2022-05-06 10:04:00	ga_ls8c_ard_3-2-1_098070_2022-05-06_final
2022-05-13 10:11:02	ga_ls8c_ard_3-2-1_099072_2022-05-13_final
2022-05-19 09:39:34	ga_ls8c_ard_3-2-1_093086_2022-05-19_final
2022-06-03 10:28:53	ga_ls8c_ard_3-2-1_102070_2022-06-03_final
2022-07-16 10:08:57	ga_ls8c_ard_3-2-1_099066_2022-07-16_final
2022-07-22 09:34:45	ga_ls8c_ard_3-2-1_093073_2022-07-22_final
2022-09-04 10:04:29	ga_ls8c_ard_3-2-1_097085_2022-09-04_final
2022-09-06 09:51:45	ga_ls8c_ard_3-2-1_095084_2022-09-06_final
2022-09-06 09:52:57	ga_ls8c_ard_3-2-1_095087_2022-09-06_final
2022-09-06 11:26:15	ga_ls8c_ard_3-2-1_111073_2022-09-06_final
2022-10-10 11:15:04	ga_ls8c_ard_3-2-1_109076_2022-10-10_final
2022-11-23 09:57:43	ga_ls8c_ard_3-2-1_097068_2022-11-23_final
2022-12-01 10:47:34	ga_ls8c_ard_3-2-1_105069_2022-12-01_final
2022-12-02 09:58:20	ga_ls8c_ard_3-2-1_096085_2022-12-02_final
2022-12-11 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-12-11_final
2022-12-25 11:42:26	ga_ls8c_ard_3-2-1_113083_2022-12-25_final
2023-02-04 09:52:34	ga_ls8c_ard_3-2-1_096071_2023-02-04_final
2023-02-22 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-02-22_final
2023-03-01 09:50:27	ga_ls8c_ard_3-2-1_095082_2023-03-01_final
2023-04-17 10:39:58	ga_ls8c_ard_3-2-1_104068_2023-04-17_final
2023-04-18 11:25:13	ga_ls8c_ard_3-2-1_111073_2023-04-18_final
2023-04-29 09:29:21	ga_ls8c_ard_3-2-1_092077_2023-04-28_final
2023-05-07 11:57:59	ga_ls8c_ard_3-2-1_116078_2023-05-07_final
2023-05-26 10:48:19	ga_ls8c_ard_3-2-1_105074_2023-05-26_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-09 11:01:10	ga_ls8c_ard_3-2-1_107075_2023-06-09_final
2023-06-19 10:02:37	ga_ls8c_ard_3-2-1_097083_2023-06-19_final
2023-07-13 10:49:06	ga_ls8c_ard_3-2-1_105075_2023-07-13_final
2023-07-23 11:25:25	ga_ls8c_ard_3-2-1_111073_2023-07-23_final
2023-08-09 10:29:55	ga_ls8c_ard_3-2-1_102073_2023-08-09_final
2023-08-14 09:13:37	ga_ls8c_ard_3-2-1_089083_2023-08-13_final
2023-08-21 09:16:41	ga_ls8c_ard_3-2-1_090075_2023-08-20_final
2023-08-23 10:42:25	ga_ls8c_ard_3-2-1_104073_2023-08-23_final
2023-09-24 10:42:30	ga_ls8c_ard_3-2-1_104073_2023-09-24_final
2023-10-09 10:01:42	ga_ls8c_ard_3-2-1_097079_2023-10-09_final
2023-10-15 11:05:31	ga_ls8c_ard_3-2-1_107084_2023-10-15_final
2023-10-17 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-10-16_final
2023-11-17 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-17_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-30 09:46:58	ga_ls8c_ard_3-2-1_095073_2023-12-30_final
2023-12-30 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-12-30_final
2024-01-03 09:26:10	ga_ls8c_ard_3-2-1_091083_2024-01-02_final
2024-01-08 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-01-08_final
2024-02-13 09:21:59	ga_ls8c_ard_3-2-1_090088_2024-02-12_final
2024-02-27 09:34:16	ga_ls8c_ard_3-2-1_092088_2024-02-27_final
2024-03-21 09:40:11	ga_ls8c_ard_3-2-1_093088_2024-03-21_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