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
2015-12-23 09:06:05	ga_ls8c_ard_3-0-0_088079_2015-12-22_final
2015-12-23 09:06:28	ga_ls8c_ard_3-0-0_088080_2015-12-22_final
2015-12-23 09:06:52	ga_ls8c_ard_3-1-0_088081_2015-12-22_final
2015-12-23 09:07:16	ga_ls8c_ard_3-0-0_088082_2015-12-22_final
2015-12-23 09:07:40	ga_ls8c_ard_3-0-0_088083_2015-12-22_final
2015-12-23 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-22_final
2016-01-13 09:20:10	ga_ls8c_ard_3-0-0_091068_2016-01-12_final
2016-01-29 09:20:09	ga_ls8c_ard_3-0-0_091068_2016-01-28_final
2016-02-14 09:20:02	ga_ls8c_ard_3-0-0_091068_2016-02-13_final
2016-04-11 09:15:55	ga_ls8c_ard_3-0-0_090074_2016-04-10_final
2016-04-11 09:16:19	ga_ls8c_ard_3-0-0_090075_2016-04-10_final
2016-04-13 09:05:32	ga_ls8c_ard_3-0-0_088079_2016-04-12_final
2016-04-13 09:05:56	ga_ls8c_ard_3-0-0_088080_2016-04-12_final
2016-04-13 09:06:20	ga_ls8c_ard_3-1-0_088081_2016-04-12_final
2016-04-13 09:06:44	ga_ls8c_ard_3-0-0_088082_2016-04-12_final
2016-04-13 09:07:08	ga_ls8c_ard_3-0-0_088083_2016-04-12_final
2016-04-13 09:07:32	ga_ls8c_ard_3-0-0_088084_2016-04-12_final
2019-03-10 09:19:43	ga_ls8c_ard_3-1-0_091068_2019-03-09_final
2019-04-22 09:05:21	ga_ls8c_ard_3-0-0_088079_2019-04-21_final
2019-04-22 09:05:45	ga_ls8c_ard_3-0-0_088080_2019-04-21_final
2019-04-22 09:06:09	ga_ls8c_ard_3-1-0_088081_2019-04-21_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-04-22 09:06:57	ga_ls8c_ard_3-0-0_088083_2019-04-21_final
2019-04-22 09:07:21	ga_ls8c_ard_3-0-0_088084_2019-04-21_final
2019-04-27 09:19:29	ga_ls8c_ard_3-0-0_091068_2019-04-26_final
2020-09-15 09:06:11	ga_ls8c_ard_3-1-0_088079_2020-09-14_final
2020-09-15 09:06:35	ga_ls8c_ard_3-1-0_088080_2020-09-14_final
2020-09-15 09:06:59	ga_ls8c_ard_3-1-0_088081_2020-09-14_final
2020-09-15 09:07:23	ga_ls8c_ard_3-1-0_088082_2020-09-14_final
2020-09-15 09:07:47	ga_ls8c_ard_3-1-0_088083_2020-09-14_final
2020-09-15 09:08:11	ga_ls8c_ard_3-1-0_088084_2020-09-14_final
2020-09-29 09:16:36	ga_ls8c_ard_3-1-0_090074_2020-09-28_final
2020-09-29 09:17:00	ga_ls8c_ard_3-1-0_090075_2020-09-28_final
2020-10-15 09:16:38	ga_ls8c_ard_3-1-0_090074_2020-10-14_final
2020-10-15 09:17:02	ga_ls8c_ard_3-1-0_090075_2020-10-14_final
2020-10-31 09:16:37	ga_ls8c_ard_3-1-0_090074_2020-10-30_final
2020-10-31 09:17:01	ga_ls8c_ard_3-1-0_090075_2020-10-30_final
2020-12-18 09:16:38	ga_ls8c_ard_3-2-0_090074_2020-12-17_final
2020-12-18 09:17:02	ga_ls8c_ard_3-2-0_090075_2020-12-17_final
2020-12-20 09:06:16	ga_ls8c_ard_3-2-0_088079_2020-12-19_final
2020-12-20 09:06:40	ga_ls8c_ard_3-2-0_088080_2020-12-19_final
2020-12-20 09:07:04	ga_ls8c_ard_3-2-0_088081_2020-12-19_final
2020-12-20 09:07:28	ga_ls8c_ard_3-2-0_088082_2020-12-19_final
2020-12-20 09:07:52	ga_ls8c_ard_3-2-0_088083_2020-12-19_final
2020-12-20 09:08:16	ga_ls8c_ard_3-2-0_088084_2020-12-19_final
2021-02-06 09:06:03	ga_ls8c_ard_3-2-0_088079_2021-02-05_final
2021-02-06 09:06:27	ga_ls8c_ard_3-2-0_088080_2021-02-05_final
2021-02-06 09:06:51	ga_ls8c_ard_3-2-0_088081_2021-02-05_final
2021-02-06 09:07:15	ga_ls8c_ard_3-2-0_088082_2021-02-05_final
2021-02-06 09:07:39	ga_ls8c_ard_3-2-0_088083_2021-02-05_final
2021-02-06 09:08:03	ga_ls8c_ard_3-2-0_088084_2021-02-05_final
2021-02-11 09:20:11	ga_ls8c_ard_3-2-0_091068_2021-02-10_final
2021-02-13 09:10:36	ga_ls8c_ard_3-2-0_089075_2021-02-12_final
2021-02-13 09:11:00	ga_ls8c_ard_3-2-0_089076_2021-02-12_final
2021-02-13 09:11:24	ga_ls8c_ard_3-2-0_089077_2021-02-12_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-13 09:12:12	ga_ls8c_ard_3-2-0_089079_2021-02-12_final
2021-02-13 09:12:36	ga_ls8c_ard_3-2-0_089080_2021-02-12_final
2021-02-22 09:05:58	ga_ls8c_ard_3-2-0_088079_2021-02-21_final
2021-02-22 09:06:22	ga_ls8c_ard_3-2-0_088080_2021-02-21_final
2021-02-22 09:06:46	ga_ls8c_ard_3-2-0_088081_2021-02-21_final
2021-02-22 09:07:10	ga_ls8c_ard_3-2-0_088082_2021-02-21_final
2021-02-22 09:07:34	ga_ls8c_ard_3-2-0_088083_2021-02-21_final
2021-02-22 09:07:58	ga_ls8c_ard_3-2-0_088084_2021-02-21_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-07-23 09:10:30	ga_ls8c_ard_3-2-0_089075_2021-07-22_final
2021-07-23 09:10:54	ga_ls8c_ard_3-2-0_089076_2021-07-22_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-07-23 09:11:42	ga_ls8c_ard_3-2-0_089078_2021-07-22_final
2021-07-30 09:16:20	ga_ls8c_ard_3-2-0_090074_2021-07-29_final
2021-07-30 09:16:44	ga_ls8c_ard_3-2-0_090075_2021-07-29_final
2021-08-01 09:05:59	ga_ls8c_ard_3-2-0_088079_2021-07-31_final
2021-08-01 09:06:23	ga_ls8c_ard_3-2-0_088080_2021-07-31_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-08-01 09:07:11	ga_ls8c_ard_3-2-0_088082_2021-07-31_final
2021-08-01 09:07:35	ga_ls8c_ard_3-2-0_088083_2021-07-31_final
2021-08-01 09:07:59	ga_ls8c_ard_3-2-0_088084_2021-07-31_final
2021-08-08 09:10:13	ga_ls8c_ard_3-2-0_089074_2021-08-07_final
2021-08-08 09:10:37	ga_ls8c_ard_3-2-0_089075_2021-08-07_final
2021-08-08 09:11:01	ga_ls8c_ard_3-2-0_089076_2021-08-07_final
2021-08-08 09:11:25	ga_ls8c_ard_3-2-0_089077_2021-08-07_final
2021-08-08 09:11:49	ga_ls8c_ard_3-2-0_089078_2021-08-07_final
2021-08-08 09:12:13	ga_ls8c_ard_3-2-0_089079_2021-08-07_final
2021-08-08 09:12:37	ga_ls8c_ard_3-2-0_089080_2021-08-07_final
2021-08-15 09:16:27	ga_ls8c_ard_3-2-0_090074_2021-08-14_final
2021-08-15 09:16:51	ga_ls8c_ard_3-2-0_090075_2021-08-14_final
2021-08-17 09:06:05	ga_ls8c_ard_3-2-0_088079_2021-08-16_final
2021-08-17 09:06:29	ga_ls8c_ard_3-2-0_088080_2021-08-16_final
2021-08-17 09:06:53	ga_ls8c_ard_3-2-0_088081_2021-08-16_final
2021-08-17 09:07:17	ga_ls8c_ard_3-2-0_088082_2021-08-16_final
2021-08-17 09:07:41	ga_ls8c_ard_3-2-0_088083_2021-08-16_final
2021-08-17 09:08:05	ga_ls8c_ard_3-2-0_088084_2021-08-16_final
2021-08-22 09:20:16	ga_ls8c_ard_3-2-0_091068_2021-08-21_final
2021-10-09 09:20:29	ga_ls8c_ard_3-2-0_091068_2021-10-08_final
2021-10-11 09:10:32	ga_ls8c_ard_3-2-0_089074_2021-10-10_final
2021-10-11 09:10:56	ga_ls8c_ard_3-2-0_089075_2021-10-10_final
2021-10-11 09:11:20	ga_ls8c_ard_3-2-0_089076_2021-10-10_final
2021-10-11 09:11:44	ga_ls8c_ard_3-2-0_089077_2021-10-10_final
2021-10-11 09:12:07	ga_ls8c_ard_3-2-0_089078_2021-10-10_final
2021-10-11 09:12:31	ga_ls8c_ard_3-2-0_089079_2021-10-10_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