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
2013-03-29 11:32:38	ga_ls8c_ard_3-0-0_112076_2013-03-29_final
2013-04-20 11:41:50	ga_ls8c_ard_3-0-0_113078_2013-04-20_final
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-05-22 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-05-22_final
2013-05-31 11:35:55	ga_ls8c_ard_3-0-0_112078_2013-05-31_final
2013-07-25 11:40:49	ga_ls8c_ard_3-0-0_113075_2013-07-25_final
2013-08-10 11:40:51	ga_ls8c_ard_3-0-0_113075_2013-08-10_final
2013-09-27 11:41:06	ga_ls8c_ard_3-0-0_113076_2013-09-27_final
2013-10-06 11:34:57	ga_ls8c_ard_3-0-0_112076_2013-10-06_final
2014-05-18 11:33:23	ga_ls8c_ard_3-0-0_112078_2014-05-18_final
2014-06-03 11:32:41	ga_ls8c_ard_3-0-0_112076_2014-06-03_final
2014-06-19 11:32:47	ga_ls8c_ard_3-0-0_112076_2014-06-19_final
2014-08-13 11:40:30	ga_ls8c_ard_3-0-0_113079_2014-08-13_final
2014-08-22 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-08-22_final
2014-09-14 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-14_final
2014-09-30 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-30_final
2014-10-09 11:33:40	ga_ls8c_ard_3-0-0_112077_2014-10-09_final
2015-06-06 11:32:39	ga_ls8c_ard_3-0-0_112077_2015-06-06_final
2015-07-04 11:57:37	ga_ls8c_ard_3-0-0_116077_2015-07-04_final
2015-08-09 11:32:43	ga_ls8c_ard_3-0-0_112076_2015-08-09_final
2016-04-05 11:31:30	ga_ls8c_ard_3-0-0_112073_2016-04-05_final
2016-04-05 11:33:06	ga_ls8c_ard_3-0-0_112077_2016-04-05_final
2016-04-21 11:32:36	ga_ls8c_ard_3-0-0_112076_2016-04-21_final
2016-04-21 11:33:48	ga_ls8c_ard_3-0-0_112079_2016-04-21_final
2016-07-10 11:33:23	ga_ls8c_ard_3-0-0_112077_2016-07-10_final
2016-08-23 11:58:19	ga_ls8c_ard_3-0-0_116077_2016-08-23_final
2016-09-28 11:34:05	ga_ls8c_ard_3-0-0_112078_2016-09-28_final
2017-04-15 11:39:06	ga_ls8c_ard_3-0-0_113077_2017-04-15_final
2017-05-10 11:33:14	ga_ls8c_ard_3-0-0_112078_2017-05-10_final
2017-05-26 11:33:49	ga_ls8c_ard_3-0-0_112079_2017-05-26_final
2017-06-27 11:33:14	ga_ls8c_ard_3-0-0_112077_2017-06-27_final
2017-08-05 11:39:14	ga_ls8c_ard_3-0-0_113076_2017-08-05_final
2017-08-21 11:39:19	ga_ls8c_ard_3-0-0_113076_2017-08-21_final
2018-04-11 11:33:13	ga_ls8c_ard_3-0-0_112078_2018-04-11_final
2018-05-13 11:33:18	ga_ls8c_ard_3-0-0_112079_2018-05-13_final
2018-08-17 11:33:42	ga_ls8c_ard_3-0-0_112079_2018-08-17_final
2018-09-02 11:32:37	ga_ls8c_ard_3-0-0_112076_2018-09-02_final
2018-09-02 11:33:25	ga_ls8c_ard_3-0-0_112078_2018-09-02_final
2018-10-04 11:34:01	ga_ls8c_ard_3-0-0_112079_2018-10-04_final
2019-06-01 11:33:11	ga_ls8c_ard_3-0-0_112077_2019-06-01_final
2019-06-17 11:33:18	ga_ls8c_ard_3-1-0_112077_2019-06-17_final
2019-06-17 11:34:06	ga_ls8c_ard_3-1-0_112079_2019-06-17_final
2019-07-03 11:33:22	ga_ls8c_ard_3-1-0_112077_2019-07-03_final
2019-07-03 11:33:46	ga_ls8c_ard_3-1-0_112078_2019-07-03_final
2019-07-19 11:33:49	ga_ls8c_ard_3-1-0_112078_2019-07-19_final
2019-07-19 11:34:13	ga_ls8c_ard_3-1-0_112079_2019-07-19_final
2019-08-20 11:34:25	ga_ls8c_ard_3-1-0_112079_2019-08-20_final
2019-10-07 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-10-07_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2020-05-18 11:33:41	ga_ls8c_ard_3-1-0_112079_2020-05-18_final
2020-06-03 11:33:23	ga_ls8c_ard_3-1-0_112078_2020-06-03_final
2020-06-19 11:33:57	ga_ls8c_ard_3-1-0_112079_2020-06-19_final
2020-07-01 08:42:11	ga_ls8c_ard_3-2-1_084082_2020-06-30_final
2020-07-05 11:33:40	ga_ls8c_ard_3-1-0_112078_2020-07-05_final
2020-07-05 11:34:04	ga_ls8c_ard_3-1-0_112079_2020-07-05_final
2020-07-21 11:33:46	ga_ls8c_ard_3-1-0_112078_2020-07-21_final
2020-07-21 11:34:10	ga_ls8c_ard_3-1-0_112079_2020-07-21_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-09-23 11:33:45	ga_ls8c_ard_3-1-0_112077_2020-09-23_final
2021-04-12 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-04-12_final
2021-04-28 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-04-28_final
2021-05-23 11:21:10	ga_ls8c_ard_3-2-0_110078_2021-05-23_final
2021-07-31 10:00:24	ga_ls8c_ard_3-2-0_097076_2021-07-31_final
2021-08-03 10:31:20	ga_ls8c_ard_3-2-0_102076_2021-08-03_final
2021-08-04 11:12:12	ga_ls8c_ard_3-2-0_109070_2021-08-04_final
2021-08-09 09:54:17	ga_ls8c_ard_3-2-0_096076_2021-08-09_final
2021-08-11 11:21:37	ga_ls8c_ard_3-2-0_110078_2021-08-11_final
2021-09-12 09:42:54	ga_ls8c_ard_3-2-0_094078_2021-09-12_final
2021-09-28 09:42:57	ga_ls8c_ard_3-2-0_094078_2021-09-28_final
2021-10-03 10:00:44	ga_ls8c_ard_3-2-0_097076_2021-10-03_final
2021-10-05 09:49:11	ga_ls8c_ard_3-2-0_095078_2021-10-05_final
2021-10-14 09:43:02	ga_ls8c_ard_3-2-0_094078_2021-10-14_final
2021-11-15 09:44:58	ga_ls8c_ard_3-2-0_094083_2021-11-15_final
2022-03-21 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-03-21_final
2022-03-25 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-03-25_final
2022-04-15 09:48:14	ga_ls8c_ard_3-2-1_095077_2022-04-15_final
2022-06-18 09:48:36	ga_ls8c_ard_3-2-1_095077_2022-06-18_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-06-28 10:26:31	ga_ls8c_ard_3-2-1_101079_2022-06-28_final
2022-08-12 11:34:22	ga_ls8c_ard_3-2-1_112078_2022-08-12_final
2022-08-21 09:48:56	ga_ls8c_ard_3-2-1_095077_2022-08-21_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-09-01 11:08:52	ga_ls8c_ard_3-2-1_108076_2022-09-01_final
2023-01-10 09:58:45	ga_ls8c_ard_3-2-1_097071_2023-01-10_final
2023-02-08 09:29:49	ga_ls8c_ard_3-2-1_092076_2023-02-07_final
2023-05-04 09:48:14	ga_ls8c_ard_3-2-1_095078_2023-05-04_final
2023-05-11 11:33:34	ga_ls8c_ard_3-2-1_112079_2023-05-11_final
2023-05-27 11:32:46	ga_ls8c_ard_3-2-1_112077_2023-05-27_final
2023-06-28 11:33:02	ga_ls8c_ard_3-2-1_112077_2023-06-28_final
2023-06-28 11:33:49	ga_ls8c_ard_3-2-1_112079_2023-06-28_final
2023-07-02 11:08:46	ga_ls8c_ard_3-2-1_108078_2023-07-02_final
2023-07-16 11:24:00	ga_ls8c_ard_3-2-1_110085_2023-07-16_final
2023-07-30 11:31:41	ga_ls8c_ard_3-2-1_112073_2023-07-30_final
2023-08-22 11:39:14	ga_ls8c_ard_3-2-1_113076_2023-08-22_final
2023-09-04 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-09-04_final
2023-09-09 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-09-09_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2024-01-10 11:09:15	ga_ls8c_ard_3-2-1_108078_2024-01-10_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