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
2015-05-18 09:19:07	ga_ls8c_ard_3-0-0_091068_2015-05-17_final
2016-05-29 09:15:57	ga_ls8c_ard_3-0-0_090074_2016-05-28_final
2016-05-29 09:16:21	ga_ls8c_ard_3-0-0_090075_2016-05-28_final
2016-06-07 09:10:12	ga_ls8c_ard_3-0-0_089075_2016-06-06_final
2016-06-07 09:10:36	ga_ls8c_ard_3-0-0_089076_2016-06-06_final
2016-06-07 09:11:00	ga_ls8c_ard_3-0-0_089077_2016-06-06_final
2016-06-07 09:11:24	ga_ls8c_ard_3-0-0_089078_2016-06-06_final
2016-06-07 09:11:48	ga_ls8c_ard_3-0-0_089079_2016-06-06_final
2016-06-07 09:12:12	ga_ls8c_ard_3-0-0_089080_2016-06-06_final
2016-06-16 09:05:38	ga_ls8c_ard_3-0-0_088079_2016-06-15_final
2016-06-16 09:06:02	ga_ls8c_ard_3-0-0_088080_2016-06-15_final
2016-06-16 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-06-15_final
2016-06-16 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-06-15_final
2016-06-16 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-06-15_final
2016-06-16 09:07:38	ga_ls8c_ard_3-0-0_088084_2016-06-15_final
2016-06-30 09:16:08	ga_ls8c_ard_3-0-0_090074_2016-06-29_final
2016-06-30 09:16:32	ga_ls8c_ard_3-0-0_090075_2016-06-29_final
2016-06-30 09:16:56	ga_ls8c_ard_3-0-0_090076_2016-06-29_final
2016-07-09 09:10:26	ga_ls8c_ard_3-0-0_089075_2016-07-08_final
2016-07-09 09:10:50	ga_ls8c_ard_3-0-0_089076_2016-07-08_final
2016-07-09 09:11:14	ga_ls8c_ard_3-0-0_089077_2016-07-08_final
2016-07-09 09:11:38	ga_ls8c_ard_3-0-0_089078_2016-07-08_final
2016-07-09 09:12:02	ga_ls8c_ard_3-0-0_089079_2016-07-08_final
2016-07-09 09:12:26	ga_ls8c_ard_3-0-0_089080_2016-07-08_final
2016-08-08 09:20:07	ga_ls8c_ard_3-0-0_091068_2016-08-07_final
2016-08-17 09:16:23	ga_ls8c_ard_3-0-0_090074_2016-08-16_final
2016-08-17 09:16:47	ga_ls8c_ard_3-0-0_090075_2016-08-16_final
2016-08-17 09:17:11	ga_ls8c_ard_3-0-0_090076_2016-08-16_final
2016-09-18 09:16:32	ga_ls8c_ard_3-0-0_090074_2016-09-17_final
2016-09-18 09:16:56	ga_ls8c_ard_3-0-0_090075_2016-09-17_final
2016-09-18 09:17:20	ga_ls8c_ard_3-0-0_090076_2016-09-17_final
2016-09-27 09:10:45	ga_ls8c_ard_3-0-0_089075_2016-09-26_final
2016-09-27 09:11:09	ga_ls8c_ard_3-0-0_089076_2016-09-26_final
2016-09-27 09:11:33	ga_ls8c_ard_3-0-0_089077_2016-09-26_final
2016-09-27 09:11:57	ga_ls8c_ard_3-0-0_089078_2016-09-26_final
2016-09-27 09:12:21	ga_ls8c_ard_3-0-0_089079_2016-09-26_final
2016-09-27 09:12:45	ga_ls8c_ard_3-0-0_089080_2016-09-26_final
2016-10-11 09:20:24	ga_ls8c_ard_3-0-0_091068_2016-10-10_final
2017-04-14 09:15:46	ga_ls8c_ard_3-0-0_090074_2017-04-13_final
2017-04-14 09:16:10	ga_ls8c_ard_3-0-0_090075_2017-04-13_final
2017-04-14 09:16:34	ga_ls8c_ard_3-0-0_090076_2017-04-13_final
2017-04-21 09:19:29	ga_ls8c_ard_3-0-0_091068_2017-04-20_final
2017-06-01 09:15:54	ga_ls8c_ard_3-0-0_090074_2017-05-31_final
2017-06-01 09:16:18	ga_ls8c_ard_3-0-0_090075_2017-05-31_final
2017-06-01 09:16:42	ga_ls8c_ard_3-0-0_090076_2017-05-31_final
2017-06-08 09:19:45	ga_ls8c_ard_3-0-0_091068_2017-06-07_final
2017-07-19 09:16:09	ga_ls8c_ard_3-0-0_090074_2017-07-18_final
2017-07-19 09:16:33	ga_ls8c_ard_3-0-0_090075_2017-07-18_final
2017-07-19 09:16:57	ga_ls8c_ard_3-0-0_090076_2017-07-18_final
2017-07-26 09:20:00	ga_ls8c_ard_3-0-0_091068_2017-07-25_final
2017-07-28 09:10:27	ga_ls8c_ard_3-0-0_089075_2017-07-27_final
2017-07-28 09:10:51	ga_ls8c_ard_3-0-0_089076_2017-07-27_final
2017-07-28 09:11:15	ga_ls8c_ard_3-0-0_089077_2017-07-27_final
2017-07-28 09:11:39	ga_ls8c_ard_3-0-0_089078_2017-07-27_final
2017-07-28 09:12:03	ga_ls8c_ard_3-0-0_089079_2017-07-27_final
2017-07-28 09:12:27	ga_ls8c_ard_3-0-0_089080_2017-07-27_final
2017-08-13 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-08-12_final
2017-08-13 09:10:57	ga_ls8c_ard_3-0-0_089076_2017-08-12_final
2017-08-13 09:11:21	ga_ls8c_ard_3-0-0_089077_2017-08-12_final
2017-08-13 09:11:45	ga_ls8c_ard_3-0-0_089078_2017-08-12_final
2017-08-13 09:12:09	ga_ls8c_ard_3-0-0_089079_2017-08-12_final
2017-08-13 09:12:33	ga_ls8c_ard_3-0-0_089080_2017-08-12_final
2017-10-25 09:06:14	ga_ls8c_ard_3-0-0_088079_2017-10-24_final
2017-10-25 09:06:38	ga_ls8c_ard_3-0-0_088080_2017-10-24_final
2017-10-25 09:07:02	ga_ls8c_ard_3-1-0_088081_2017-10-24_final
2017-10-25 09:07:26	ga_ls8c_ard_3-0-0_088082_2017-10-24_final
2017-10-25 09:07:50	ga_ls8c_ard_3-0-0_088083_2017-10-24_final
2017-10-25 09:08:14	ga_ls8c_ard_3-0-0_088084_2017-10-24_final
2017-11-10 09:06:12	ga_ls8c_ard_3-0-0_088079_2017-11-09_final
2017-11-10 09:06:36	ga_ls8c_ard_3-0-0_088080_2017-11-09_final
2017-11-10 09:07:00	ga_ls8c_ard_3-1-0_088081_2017-11-09_final
2017-11-10 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-11-09_final
2017-11-10 09:07:48	ga_ls8c_ard_3-0-0_088083_2017-11-09_final
2017-11-10 09:08:12	ga_ls8c_ard_3-0-0_088084_2017-11-09_final
2017-12-10 09:16:27	ga_ls8c_ard_3-0-0_090074_2017-12-09_final
2017-12-10 09:16:51	ga_ls8c_ard_3-0-0_090075_2017-12-09_final
2017-12-10 09:17:14	ga_ls8c_ard_3-0-0_090076_2017-12-09_final
2017-12-12 09:06:05	ga_ls8c_ard_3-0-0_088079_2017-12-11_final
2017-12-12 09:06:29	ga_ls8c_ard_3-0-0_088080_2017-12-11_final
2017-12-12 09:06:53	ga_ls8c_ard_3-1-0_088081_2017-12-11_final
2017-12-12 09:07:17	ga_ls8c_ard_3-0-0_088082_2017-12-11_final
2017-12-12 09:07:41	ga_ls8c_ard_3-0-0_088083_2017-12-11_final
2017-12-12 09:08:05	ga_ls8c_ard_3-0-0_088084_2017-12-11_final
2020-03-23 09:05:43	ga_ls8c_ard_3-1-0_088079_2020-03-22_final
2020-03-23 09:06:07	ga_ls8c_ard_3-1-0_088080_2020-03-22_final
2020-03-23 09:06:31	ga_ls8c_ard_3-1-0_088081_2020-03-22_final
2020-03-23 09:06:55	ga_ls8c_ard_3-1-0_088082_2020-03-22_final
2020-03-23 09:07:19	ga_ls8c_ard_3-1-0_088083_2020-03-22_final
2020-03-23 09:07:43	ga_ls8c_ard_3-1-0_088084_2020-03-22_final
2020-05-01 09:09:59	ga_ls8c_ard_3-1-0_089075_2020-04-30_final
2020-05-01 09:10:23	ga_ls8c_ard_3-1-0_089076_2020-04-30_final
2020-05-01 09:10:47	ga_ls8c_ard_3-1-0_089077_2020-04-30_final
2020-05-01 09:11:11	ga_ls8c_ard_3-1-0_089078_2020-04-30_final
2020-05-01 09:11:35	ga_ls8c_ard_3-1-0_089079_2020-04-30_final
2020-05-01 09:11:59	ga_ls8c_ard_3-1-0_089080_2020-04-30_final
2020-05-26 09:05:23	ga_ls8c_ard_3-1-0_088079_2020-05-25_final
2020-05-26 09:05:47	ga_ls8c_ard_3-1-0_088080_2020-05-25_final
2020-05-26 09:06:11	ga_ls8c_ard_3-1-0_088081_2020-05-25_final
2020-05-26 09:06:35	ga_ls8c_ard_3-1-0_088082_2020-05-25_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_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