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
2013-07-25 11:39:37	ga_ls8c_ard_3-0-0_113072_2013-07-25_final
2013-12-11 09:42:13	ga_ls8c_ard_3-0-0_094073_2013-12-11_final
2014-02-03 09:07:46	ga_ls8c_ard_3-1-0_088081_2014-02-02_final
2014-03-08 09:52:33	ga_ls8c_ard_3-0-0_095086_2014-03-08_final
2014-04-05 11:51:23	ga_ls8c_ard_3-0-0_115075_2014-04-05_final
2014-05-09 11:40:03	ga_ls8c_ard_3-0-0_113079_2014-05-09_final
2014-10-02 09:47:46	ga_ls8c_ard_3-0-0_095075_2014-10-02_final
2014-11-03 09:47:00	ga_ls8c_ard_3-0-0_095073_2014-11-03_final
2015-03-11 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-03-11_final
2015-03-16 11:47:01	ga_ls8c_ard_3-0-0_114081_2015-03-16_final
2015-06-13 11:34:55	ga_ls8c_ard_3-0-0_113067_2015-06-13_final
2016-04-29 09:05:54	ga_ls8c_ard_3-0-0_088080_2016-04-28_final
2016-08-20 09:51:42	ga_ls8c_ard_3-0-0_095085_2016-08-20_final
2017-04-06 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-04-06_final
2017-06-03 09:06:21	ga_ls8c_ard_3-0-0_088081_2017-06-02_final
2017-06-11 11:31:57	ga_ls8c_ard_3-0-0_112074_2017-06-11_final
2017-10-17 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-10-17_final
2017-10-26 09:47:54	ga_ls8c_ard_3-0-0_095075_2017-10-26_final
2018-01-14 09:50:27	ga_ls8c_ard_3-0-0_095082_2018-01-14_final
2018-04-20 09:46:28	ga_ls8c_ard_3-0-0_095074_2018-04-20_final
2018-05-04 11:34:47	ga_ls8c_ard_3-0-0_113067_2018-05-04_final
2018-09-11 09:47:12	ga_ls8c_ard_3-0-0_095075_2018-09-11_final
2019-03-15 09:40:13	ga_ls8c_ard_3-1-0_094073_2019-03-15_final
2019-06-26 09:46:41	ga_ls8c_ard_3-1-0_095073_2019-06-26_final
2019-07-21 09:45:47	ga_ls8c_ard_3-1-0_094086_2019-07-21_final
2019-08-04 11:29:57	ga_ls8c_ard_3-1-0_112068_2019-08-04_final
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2020-03-31 11:31:58	ga_ls8c_ard_3-1-0_112074_2020-03-31_final
2020-04-21 11:50:46	ga_ls8c_ard_3-1-0_115075_2020-04-21_final
2020-05-11 09:45:48	ga_ls8c_ard_3-1-0_095072_2020-05-11_final
2020-06-10 11:39:38	ga_ls8c_ard_3-1-0_113078_2020-06-10_final
2020-09-16 09:52:14	ga_ls8c_ard_3-1-0_095086_2020-09-16_final
2020-11-10 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-11-10_final
2021-03-15 09:21:32	ga_ls8c_ard_3-2-0_091072_2021-03-14_final
2021-03-22 11:06:10	ga_ls8c_ard_3-2-0_108071_2021-03-22_final
2021-04-07 09:25:37	ga_ls8c_ard_3-2-0_092067_2021-04-06_final
2021-04-11 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-04-11_final
2021-04-24 11:52:01	ga_ls8c_ard_3-2-0_115078_2021-04-24_final
2021-04-26 10:01:09	ga_ls8c_ard_3-2-0_097079_2021-04-26_final
2021-04-27 09:05:55	ga_ls8c_ard_3-2-0_088080_2021-04-26_final
2021-05-01 10:16:51	ga_ls8c_ard_3-2-0_100072_2021-05-01_final
2021-05-03 10:02:52	ga_ls8c_ard_3-2-0_098068_2021-05-03_final
2021-05-10 11:51:32	ga_ls8c_ard_3-2-0_115077_2021-05-10_final
2021-06-08 11:16:54	ga_ls8c_ard_3-2-0_110067_2021-06-08_final
2021-07-24 09:57:46	ga_ls8c_ard_3-2-0_096085_2021-07-24_final
2021-07-26 11:23:06	ga_ls8c_ard_3-2-0_110082_2021-07-26_final
2021-08-31 09:21:43	ga_ls8c_ard_3-2-0_090087_2021-08-30_final
2021-09-07 11:00:01	ga_ls8c_ard_3-2-0_107070_2021-09-07_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-09-24 11:46:08	ga_ls8c_ard_3-2-0_114077_2021-09-24_final
2021-09-28 09:43:45	ga_ls8c_ard_3-2-0_094080_2021-09-28_final
2021-10-02 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-10-01_final
2021-11-04 09:58:23	ga_ls8c_ard_3-2-0_097070_2021-11-04_final
2021-11-15 11:20:39	ga_ls8c_ard_3-2-0_110075_2021-11-15_final
2021-11-19 09:17:02	ga_ls8c_ard_3-2-0_090075_2021-11-18_final
2021-12-08 09:50:45	ga_ls8c_ard_3-2-1_095082_2021-12-08_final
2022-01-14 10:07:10	ga_ls8c_ard_3-2-1_098077_2022-01-14_final
2022-01-16 11:36:28	ga_ls8c_ard_3-2-1_112084_2022-01-16_final
2022-01-19 10:24:53	ga_ls8c_ard_3-2-1_101075_2022-01-19_final
2022-02-21 09:33:53	ga_ls8c_ard_3-2-1_092087_2022-02-21_final
2022-04-27 10:13:41	ga_ls8c_ard_3-2-1_099079_2022-04-27_final
2022-04-30 10:40:12	ga_ls8c_ard_3-2-1_104068_2022-04-30_final
2022-05-21 11:01:18	ga_ls8c_ard_3-2-1_107074_2022-05-21_final
2022-06-13 11:09:41	ga_ls8c_ard_3-2-1_108079_2022-06-13_final
2022-07-17 10:52:38	ga_ls8c_ard_3-2-1_106067_2022-07-17_final
2022-07-17 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-07-17_final
2022-07-29 11:24:17	ga_ls8c_ard_3-2-1_110084_2022-07-29_final
2022-08-04 10:41:17	ga_ls8c_ard_3-2-1_104069_2022-08-04_final
2022-08-05 11:25:21	ga_ls8c_ard_3-2-1_111071_2022-08-05_final
2022-08-23 09:37:46	ga_ls8c_ard_3-2-1_093080_2022-08-23_final
2022-08-23 11:17:27	ga_ls8c_ard_3-2-1_109082_2022-08-23_final
2022-09-26 09:22:44	ga_ls8c_ard_3-2-1_091073_2022-09-25_final
2022-09-26 09:24:20	ga_ls8c_ard_3-2-1_091077_2022-09-25_final
2022-10-10 09:37:47	ga_ls8c_ard_3-2-1_093080_2022-10-10_final
2022-10-22 09:57:45	ga_ls8c_ard_3-2-1_097068_2022-10-22_final
2022-12-15 11:02:39	ga_ls8c_ard_3-2-1_107076_2022-12-15_final
2022-12-24 10:56:22	ga_ls8c_ard_3-2-1_106076_2022-12-24_final
2023-01-06 10:25:53	ga_ls8c_ard_3-2-1_101077_2023-01-06_final
2023-01-19 09:57:40	ga_ls8c_ard_3-2-1_096084_2023-01-19_final
2023-01-24 10:16:16	ga_ls8c_ard_3-2-1_099084_2023-01-24_final
2023-05-13 09:43:30	ga_ls8c_ard_3-2-1_094082_2023-05-13_final
2023-05-17 09:20:21	ga_ls8c_ard_3-2-1_090086_2023-05-16_final
2023-05-26 09:12:37	ga_ls8c_ard_3-2-1_089082_2023-05-25_final
2023-06-21 11:23:10	ga_ls8c_ard_3-2-1_111068_2023-06-21_final
2023-06-23 11:16:47	ga_ls8c_ard_3-2-1_109083_2023-06-23_final
2023-07-27 09:23:04	ga_ls8c_ard_3-2-1_091076_2023-07-26_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-08-10 11:11:35	ga_ls8c_ard_3-2-1_109069_2023-08-10_final
2023-09-13 09:25:19	ga_ls8c_ard_3-2-1_091081_2023-09-12_final
2023-10-06 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-10-05_final
2023-10-06 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-10-05_final
2023-10-15 09:28:38	ga_ls8c_ard_3-2-1_091089_2023-10-14_final
2023-11-20 10:34:29	ga_ls8c_ard_3-2-1_103068_2023-11-20_final
2024-01-23 10:36:18	ga_ls8c_ard_3-2-1_103073_2024-01-23_final
2024-02-17 10:28:32	ga_ls8c_ard_3-2-1_102069_2024-02-17_final
2024-02-18 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-18_final
2024-02-20 09:24:32	ga_ls8c_ard_3-2-1_091079_2024-02-19_final
2024-02-23 09:52:14	ga_ls8c_ard_3-2-1_096071_2024-02-23_final
2024-03-07 09:26:44	ga_ls8c_ard_3-2-1_091085_2024-03-06_final
2024-03-09 09:16:22	ga_ls8c_ard_3-2-1_089090_2024-03-08_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