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
2013-06-24 09:08:39	ga_ls8c_ard_3-1-0_088081_2013-06-23_final
2014-09-30 09:58:07	ga_ls8c_ard_3-1-0_097070_2014-09-30_final
2015-01-23 10:30:01	ga_ls8c_ard_3-1-0_102073_2015-01-23_final
2016-05-01 10:28:52	ga_ls8c_ard_3-1-0_102071_2016-05-01_final
2016-11-23 09:07:04	ga_ls8c_ard_3-1-0_088081_2016-11-22_final
2018-04-24 09:27:42	ga_ls8c_ard_3-1-0_091089_2018-04-23_final
2018-07-26 10:29:18	ga_ls8c_ard_3-1-0_102073_2018-07-26_final
2018-12-04 09:27:11	ga_ls8c_ard_3-1-0_091086_2018-12-03_final
2019-03-14 10:38:38	ga_ls8c_ard_3-1-0_103080_2019-03-14_final
2019-03-19 10:53:10	ga_ls8c_ard_3-1-0_106070_2019-03-19_final
2019-04-01 10:27:25	ga_ls8c_ard_3-1-0_101083_2019-04-01_final
2019-04-04 09:17:25	ga_ls8c_ard_3-1-0_090078_2019-04-03_final
2019-04-07 11:24:48	ga_ls8c_ard_3-1-0_111072_2019-04-07_final
2019-04-12 10:04:02	ga_ls8c_ard_3-1-0_098071_2019-04-12_final
2019-06-09 09:06:31	ga_ls8c_ard_3-1-0_088081_2019-06-08_final
2019-06-17 11:36:06	ga_ls8c_ard_3-1-0_112084_2019-06-17_final
2019-06-21 11:10:12	ga_ls8c_ard_3-1-0_108081_2019-06-21_final
2019-06-24 10:02:14	ga_ls8c_ard_3-1-0_097081_2019-06-24_final
2019-06-26 11:29:57	ga_ls8c_ard_3-1-0_111084_2019-06-26_final
2019-07-01 10:02:51	ga_ls8c_ard_3-1-0_098067_2019-07-01_final
2019-07-08 11:50:44	ga_ls8c_ard_3-1-0_115074_2019-07-08_final
2019-07-09 10:53:31	ga_ls8c_ard_3-1-0_106070_2019-07-09_final
2019-07-09 10:57:06	ga_ls8c_ard_3-1-0_106079_2019-07-09_final
2019-07-23 11:09:55	ga_ls8c_ard_3-1-0_108080_2019-07-23_final
2019-07-25 10:54:47	ga_ls8c_ard_3-1-0_106073_2019-07-25_final
2019-07-27 09:06:21	ga_ls8c_ard_3-1-0_088080_2019-07-26_final
2019-08-07 10:22:47	ga_ls8c_ard_3-1-0_101070_2019-08-07_final
2019-08-11 10:04:04	ga_ls8c_ard_3-1-0_097085_2019-08-11_final
2019-08-13 11:28:36	ga_ls8c_ard_3-1-0_111080_2019-08-13_final
2019-08-24 11:11:19	ga_ls8c_ard_3-1-0_108083_2019-08-24_final
2019-08-26 10:54:58	ga_ls8c_ard_3-1-0_106073_2019-08-26_final
2019-08-30 10:29:28	ga_ls8c_ard_3-1-0_102071_2019-08-30_final
2019-09-02 09:28:16	ga_ls8c_ard_3-1-0_091088_2019-09-01_final
2019-09-03 10:10:20	ga_ls8c_ard_3-1-0_098085_2019-09-03_final
2019-09-11 10:55:26	ga_ls8c_ard_3-1-0_106074_2019-09-11_final
2019-09-13 09:07:00	ga_ls8c_ard_3-1-0_088081_2019-09-12_final
2019-09-18 09:21:58	ga_ls8c_ard_3-1-0_091072_2019-09-17_final
2019-09-18 09:26:46	ga_ls8c_ard_3-1-0_091084_2019-09-17_final
2019-09-27 09:21:26	ga_ls8c_ard_3-1-0_090086_2019-09-26_final
2019-10-01 10:34:01	ga_ls8c_ard_3-1-0_102082_2019-10-01_final
2019-10-13 09:20:41	ga_ls8c_ard_3-1-0_090084_2019-10-12_final
2019-10-15 10:43:13	ga_ls8c_ard_3-1-0_104074_2019-10-15_final
2019-10-21 10:05:20	ga_ls8c_ard_3-1-0_098072_2019-10-21_final
2019-11-01 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-11-01_final
2019-11-09 10:34:37	ga_ls8c_ard_3-1-0_103068_2019-11-09_final
2019-11-12 11:09:54	ga_ls8c_ard_3-1-0_108079_2019-11-12_final
2019-11-14 09:20:39	ga_ls8c_ard_3-1-0_090084_2019-11-13_final
2019-11-23 09:13:38	ga_ls8c_ard_3-1-0_089082_2019-11-22_final
2019-11-23 09:15:14	ga_ls8c_ard_3-1-0_089086_2019-11-22_final
2019-11-23 10:47:20	ga_ls8c_ard_3-1-0_105069_2019-11-23_final
2019-11-24 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-11-24_final
2019-12-06 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-12-06_final
2019-12-07 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-12-06_final
2019-12-09 10:47:19	ga_ls8c_ard_3-1-0_105069_2019-12-09_final
2019-12-30 11:06:35	ga_ls8c_ard_3-1-0_108071_2019-12-30_final
2020-01-07 11:57:59	ga_ls8c_ard_3-1-0_116076_2020-01-07_final
2020-01-08 09:23:53	ga_ls8c_ard_3-1-0_091077_2020-01-07_final
2020-01-10 10:50:24	ga_ls8c_ard_3-1-0_105077_2020-01-10_final
2020-01-21 10:30:37	ga_ls8c_ard_3-1-0_102074_2020-01-21_final
2020-01-25 10:07:28	ga_ls8c_ard_3-1-0_098078_2020-01-25_final
2020-01-27 09:57:53	ga_ls8c_ard_3-1-0_096085_2020-01-27_final
2020-01-30 10:25:35	ga_ls8c_ard_3-1-0_101077_2020-01-30_final
2020-02-08 11:58:14	ga_ls8c_ard_3-1-0_116077_2020-02-08_final
2020-02-10 10:10:11	ga_ls8c_ard_3-1-0_098085_2020-02-10_final
2020-02-15 10:25:31	ga_ls8c_ard_3-1-0_101077_2020-02-15_final
2020-02-21 09:50:48	ga_ls8c_ard_3-1-0_095083_2020-02-21_final
2020-02-28 11:29:51	ga_ls8c_ard_3-1-0_112068_2020-02-28_final
2020-02-29 10:34:37	ga_ls8c_ard_3-1-0_103069_2020-02-29_final
2020-03-11 11:57:41	ga_ls8c_ard_3-1-0_116076_2020-03-11_final
2020-03-12 09:25:57	ga_ls8c_ard_3-1-0_091083_2020-03-11_final
2020-03-14 09:11:35	ga_ls8c_ard_3-1-0_089078_2020-03-13_final
2020-03-14 09:13:11	ga_ls8c_ard_3-1-0_089082_2020-03-13_final
2020-03-19 09:30:53	ga_ls8c_ard_3-1-0_092080_2020-03-19_final
2020-03-24 11:25:04	ga_ls8c_ard_3-1-0_111072_2020-03-24_final
2020-03-24 11:28:39	ga_ls8c_ard_3-1-0_111081_2020-03-24_final
2020-03-29 10:04:16	ga_ls8c_ard_3-1-0_098071_2020-03-29_final
2020-03-31 11:31:58	ga_ls8c_ard_3-1-0_112074_2020-03-31_final
2020-04-09 11:23:20	ga_ls8c_ard_3-1-0_111068_2020-04-09_final
2020-04-20 11:06:42	ga_ls8c_ard_3-1-0_108073_2020-04-20_final
2022-03-30 09:45:44	ga_ls8c_ard_3-2-1_095071_2022-03-30_final
2022-04-03 11:00:42	ga_ls8c_ard_3-2-1_107073_2022-04-03_final
2022-04-03 11:01:30	ga_ls8c_ard_3-2-1_107075_2022-04-03_final
2022-04-03 11:01:54	ga_ls8c_ard_3-2-1_107076_2022-04-03_final
2022-04-06 09:56:21	ga_ls8c_ard_3-2-1_096082_2022-04-06_final
2022-04-14 10:42:16	ga_ls8c_ard_3-2-1_104073_2022-04-14_final
2022-04-15 09:51:02	ga_ls8c_ard_3-2-1_095084_2022-04-15_final
2022-04-17 09:40:16	ga_ls8c_ard_3-2-1_093088_2022-04-17_final
2022-04-21 09:11:56	ga_ls8c_ard_3-2-1_089079_2022-04-20_final
2022-04-24 09:44:01	ga_ls8c_ard_3-2-1_094082_2022-04-24_final
2022-04-24 11:18:54	ga_ls8c_ard_3-2-1_110072_2022-04-24_final
2022-05-01 09:50:11	ga_ls8c_ard_3-2-1_095082_2022-05-01_final
2022-05-07 10:46:28	ga_ls8c_ard_3-2-1_105068_2022-05-07_final
2022-05-08 09:52:51	ga_ls8c_ard_3-2-1_096073_2022-05-08_final
2022-05-14 10:58:42	ga_ls8c_ard_3-2-1_106083_2022-05-14_final
2022-05-31 09:57:33	ga_ls8c_ard_3-2-1_097069_2022-05-31_final
2022-05-31 10:01:56	ga_ls8c_ard_3-2-1_097080_2022-05-31_final
2022-05-31 11:42:01	ga_ls8c_ard_3-2-1_113083_2022-05-31_final
2022-06-03 10:30:29	ga_ls8c_ard_3-2-1_102074_2022-06-03_final
2022-06-05 10:18:33	ga_ls8c_ard_3-2-1_100075_2022-06-05_final
2022-06-07 10:07:25	ga_ls8c_ard_3-2-1_098078_2022-06-07_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