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
2013-11-22 09:12:55	ga_ls8c_ard_3-0-0_089077_2013-11-21_final
2013-11-22 09:13:18	ga_ls8c_ard_3-0-0_089078_2013-11-21_final
2013-11-22 09:13:42	ga_ls8c_ard_3-0-0_089079_2013-11-21_final
2013-11-27 09:27:29	ga_ls8c_ard_3-0-0_092067_2013-11-26_final
2013-11-29 09:18:19	ga_ls8c_ard_3-0-0_090075_2013-11-28_final
2013-11-29 09:18:43	ga_ls8c_ard_3-0-0_090076_2013-11-28_final
2014-02-03 09:07:22	ga_ls8c_ard_3-0-0_088080_2014-02-02_final
2014-02-03 09:07:46	ga_ls8c_ard_3-1-0_088081_2014-02-02_final
2014-02-03 09:08:10	ga_ls8c_ard_3-0-0_088082_2014-02-02_final
2014-03-14 09:11:02	ga_ls8c_ard_3-0-0_089075_2014-03-13_final
2014-03-14 09:11:26	ga_ls8c_ard_3-0-0_089076_2014-03-13_final
2014-03-14 09:11:50	ga_ls8c_ard_3-0-0_089077_2014-03-13_final
2014-03-14 09:12:14	ga_ls8c_ard_3-0-0_089078_2014-03-13_final
2014-03-14 09:12:38	ga_ls8c_ard_3-0-0_089079_2014-03-13_final
2014-03-14 09:13:02	ga_ls8c_ard_3-0-0_089080_2014-03-13_final
2014-03-14 09:13:26	ga_ls8c_ard_3-0-0_089081_2014-03-13_final
2014-03-19 09:26:19	ga_ls8c_ard_3-0-0_092067_2014-03-18_final
2014-03-30 09:11:33	ga_ls8c_ard_3-0-0_089077_2014-03-29_final
2014-03-30 09:11:57	ga_ls8c_ard_3-0-0_089078_2014-03-29_final
2014-03-30 09:12:21	ga_ls8c_ard_3-0-0_089079_2014-03-29_final
2014-03-30 09:12:45	ga_ls8c_ard_3-0-0_089080_2014-03-29_final
2014-03-30 09:13:09	ga_ls8c_ard_3-0-0_089081_2014-03-29_final
2014-04-29 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-04-28_final
2014-05-24 09:16:12	ga_ls8c_ard_3-0-0_090075_2014-05-23_final
2014-05-24 09:16:36	ga_ls8c_ard_3-0-0_090076_2014-05-23_final
2014-05-26 09:05:52	ga_ls8c_ard_3-0-0_088080_2014-05-25_final
2014-05-26 09:06:16	ga_ls8c_ard_3-1-0_088081_2014-05-25_final
2014-05-26 09:06:39	ga_ls8c_ard_3-0-0_088082_2014-05-25_final
2014-06-11 09:06:01	ga_ls8c_ard_3-0-0_088080_2014-06-10_final
2014-06-11 09:06:25	ga_ls8c_ard_3-1-0_088081_2014-06-10_final
2014-06-11 09:06:49	ga_ls8c_ard_3-0-0_088082_2014-06-10_final
2014-07-09 09:25:43	ga_ls8c_ard_3-0-0_092067_2014-07-08_final
2014-09-04 09:20:12	ga_ls8c_ard_3-0-0_091068_2014-09-03_final
2014-10-06 09:20:17	ga_ls8c_ard_3-0-0_091068_2014-10-05_final
2014-11-23 09:20:15	ga_ls8c_ard_3-0-0_091068_2014-11-22_final
2014-12-27 09:10:36	ga_ls8c_ard_3-0-0_089075_2014-12-26_final
2014-12-27 09:11:00	ga_ls8c_ard_3-0-0_089076_2014-12-26_final
2014-12-27 09:11:24	ga_ls8c_ard_3-0-0_089077_2014-12-26_final
2014-12-27 09:11:48	ga_ls8c_ard_3-0-0_089078_2014-12-26_final
2014-12-27 09:12:12	ga_ls8c_ard_3-0-0_089079_2014-12-26_final
2014-12-27 09:12:36	ga_ls8c_ard_3-0-0_089080_2014-12-26_final
2014-12-27 09:13:00	ga_ls8c_ard_3-0-0_089081_2014-12-26_final
2017-09-19 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-09-18_final
2017-10-23 09:16:36	ga_ls8c_ard_3-0-0_090074_2017-10-22_final
2017-10-23 09:17:00	ga_ls8c_ard_3-0-0_090075_2017-10-22_final
2017-10-23 09:17:24	ga_ls8c_ard_3-0-0_090076_2017-10-22_final
2017-10-30 09:20:23	ga_ls8c_ard_3-0-0_091068_2017-10-29_final
2017-11-08 09:16:35	ga_ls8c_ard_3-0-0_090074_2017-11-07_final
2017-11-08 09:16:59	ga_ls8c_ard_3-0-0_090075_2017-11-07_final
2017-11-08 09:17:23	ga_ls8c_ard_3-0-0_090076_2017-11-07_final
2017-11-15 09:20:20	ga_ls8c_ard_3-0-0_091068_2017-11-14_final
2017-12-01 09:20:14	ga_ls8c_ard_3-0-0_091068_2017-11-30_final
2017-12-01 09:21:50	ga_ls8c_ard_3-0-0_091072_2017-11-30_final
2017-12-17 09:20:16	ga_ls8c_ard_3-0-0_091068_2017-12-16_final
2018-02-03 09:19:57	ga_ls8c_ard_3-0-0_091068_2018-02-02_final
2018-02-03 09:21:33	ga_ls8c_ard_3-0-0_091072_2018-02-02_final
2018-03-02 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-03-01_final
2018-03-02 09:06:26	ga_ls8c_ard_3-1-0_088081_2018-03-01_final
2018-03-02 09:06:50	ga_ls8c_ard_3-0-0_088082_2018-03-01_final
2018-03-02 09:07:14	ga_ls8c_ard_3-0-0_088083_2018-03-01_final
2018-03-02 09:07:38	ga_ls8c_ard_3-0-0_088084_2018-03-01_final
2018-03-16 09:15:51	ga_ls8c_ard_3-0-0_090074_2018-03-15_final
2018-03-16 09:16:15	ga_ls8c_ard_3-0-0_090075_2018-03-15_final
2018-03-16 09:16:39	ga_ls8c_ard_3-0-0_090076_2018-03-15_final
2018-03-18 09:05:53	ga_ls8c_ard_3-0-0_088080_2018-03-17_final
2018-03-18 09:06:17	ga_ls8c_ard_3-1-0_088081_2018-03-17_final
2018-03-18 09:06:41	ga_ls8c_ard_3-0-0_088082_2018-03-17_final
2018-03-18 09:07:05	ga_ls8c_ard_3-0-0_088083_2018-03-17_final
2018-03-18 09:07:29	ga_ls8c_ard_3-0-0_088084_2018-03-17_final
2018-07-06 09:15:24	ga_ls8c_ard_3-0-0_090074_2018-07-05_final
2018-07-06 09:15:48	ga_ls8c_ard_3-0-0_090075_2018-07-05_final
2018-07-06 09:16:12	ga_ls8c_ard_3-0-0_090076_2018-07-05_final
2019-02-24 09:10:14	ga_ls8c_ard_3-0-0_089075_2019-02-23_final
2019-02-24 09:10:38	ga_ls8c_ard_3-0-0_089076_2019-02-23_final
2019-02-24 09:11:01	ga_ls8c_ard_3-0-0_089077_2019-02-23_final
2019-02-24 09:11:25	ga_ls8c_ard_3-0-0_089078_2019-02-23_final
2019-02-24 09:11:49	ga_ls8c_ard_3-0-0_089079_2019-02-23_final
2019-02-24 09:12:13	ga_ls8c_ard_3-0-0_089080_2019-02-23_final
2019-02-24 09:12:37	ga_ls8c_ard_3-0-0_089081_2019-02-23_final
2019-03-21 09:05:55	ga_ls8c_ard_3-1-0_088080_2019-03-20_final
2019-03-21 09:06:19	ga_ls8c_ard_3-1-0_088081_2019-03-20_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-04-13 09:10:00	ga_ls8c_ard_3-1-0_089075_2019-04-12_final
2019-04-13 09:10:24	ga_ls8c_ard_3-1-0_089076_2019-04-12_final
2019-04-13 09:10:48	ga_ls8c_ard_3-1-0_089077_2019-04-12_final
2019-04-13 09:11:12	ga_ls8c_ard_3-1-0_089078_2019-04-12_final
2019-04-13 09:11:36	ga_ls8c_ard_3-1-0_089079_2019-04-12_final
2019-04-13 09:11:59	ga_ls8c_ard_3-1-0_089080_2019-04-12_final
2019-04-13 09:12:23	ga_ls8c_ard_3-1-0_089081_2019-04-12_final
2019-05-08 09:05:26	ga_ls8c_ard_3-0-0_088079_2019-05-07_final
2019-05-08 09:05:50	ga_ls8c_ard_3-0-0_088080_2019-05-07_final
2019-05-08 09:06:13	ga_ls8c_ard_3-0-0_088081_2019-05-07_final
2019-05-08 09:06:37	ga_ls8c_ard_3-0-0_088082_2019-05-07_final
2019-05-08 09:07:01	ga_ls8c_ard_3-0-0_088083_2019-05-07_final
2019-05-08 09:07:25	ga_ls8c_ard_3-0-0_088084_2019-05-07_final
2019-06-25 09:05:49	ga_ls8c_ard_3-1-0_088079_2019-06-24_final
2019-06-25 09:06:13	ga_ls8c_ard_3-1-0_088080_2019-06-24_final
2019-06-25 09:06:37	ga_ls8c_ard_3-1-0_088081_2019-06-24_final
2019-06-25 09:07:01	ga_ls8c_ard_3-1-0_088082_2019-06-24_final
2019-06-25 09:07:25	ga_ls8c_ard_3-1-0_088083_2019-06-24_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