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
2013-12-08 09:17:43	ga_ls8c_ard_3-0-0_089089_2013-12-07_final
2013-12-08 09:18:07	ga_ls8c_ard_3-0-0_089090_2013-12-07_final
2014-03-19 09:29:54	ga_ls8c_ard_3-0-0_092076_2014-03-18_final
2014-03-19 09:30:18	ga_ls8c_ard_3-0-0_092077_2014-03-19_final
2014-03-19 09:30:42	ga_ls8c_ard_3-0-0_092078_2014-03-19_final
2014-03-19 09:31:06	ga_ls8c_ard_3-0-0_092079_2014-03-19_final
2014-03-19 09:31:30	ga_ls8c_ard_3-0-0_092080_2014-03-19_final
2014-03-19 09:31:54	ga_ls8c_ard_3-0-0_092081_2014-03-19_final
2014-03-21 09:20:42	ga_ls8c_ard_3-0-0_090084_2014-03-20_final
2014-03-21 09:21:06	ga_ls8c_ard_3-0-0_090085_2014-03-20_final
2014-03-21 09:21:30	ga_ls8c_ard_3-0-0_090086_2014-03-20_final
2014-03-21 09:21:54	ga_ls8c_ard_3-0-0_090087_2014-03-20_final
2014-03-21 09:22:18	ga_ls8c_ard_3-0-0_090088_2014-03-20_final
2014-03-21 09:22:42	ga_ls8c_ard_3-0-0_090089_2014-03-20_final
2015-06-26 09:28:23	ga_ls8c_ard_3-0-0_092075_2015-06-25_final
2015-06-26 09:28:47	ga_ls8c_ard_3-0-0_092076_2015-06-25_final
2015-06-26 09:29:11	ga_ls8c_ard_3-0-0_092077_2015-06-25_final
2015-06-26 09:29:35	ga_ls8c_ard_3-0-0_092078_2015-06-25_final
2015-06-26 09:29:59	ga_ls8c_ard_3-0-0_092079_2015-06-25_final
2015-06-26 09:30:23	ga_ls8c_ard_3-0-0_092080_2015-06-26_final
2015-06-26 09:30:47	ga_ls8c_ard_3-0-0_092081_2015-06-26_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2015-08-29 09:28:52	ga_ls8c_ard_3-0-0_092075_2015-08-28_final
2015-08-29 09:29:15	ga_ls8c_ard_3-0-0_092076_2015-08-28_final
2015-08-29 09:29:39	ga_ls8c_ard_3-0-0_092077_2015-08-28_final
2015-08-29 09:30:03	ga_ls8c_ard_3-0-0_092078_2015-08-29_final
2015-08-29 09:30:27	ga_ls8c_ard_3-0-0_092079_2015-08-29_final
2015-08-29 09:30:51	ga_ls8c_ard_3-0-0_092080_2015-08-29_final
2015-08-29 09:31:15	ga_ls8c_ard_3-0-0_092081_2015-08-29_final
2015-09-21 09:33:37	ga_ls8c_ard_3-0-0_093071_2015-09-21_final
2015-09-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2015-09-21_final
2015-09-21 09:34:25	ga_ls8c_ard_3-0-0_093073_2015-09-21_final
2015-09-21 09:34:49	ga_ls8c_ard_3-0-0_093074_2015-09-21_final
2015-09-21 09:35:13	ga_ls8c_ard_3-0-0_093075_2015-09-21_final
2015-09-21 09:35:37	ga_ls8c_ard_3-0-0_093076_2015-09-21_final
2015-09-23 09:24:52	ga_ls8c_ard_3-0-0_091080_2015-09-22_final
2015-09-23 09:25:15	ga_ls8c_ard_3-0-0_091081_2015-09-22_final
2015-09-23 09:25:39	ga_ls8c_ard_3-0-0_091082_2015-09-22_final
2015-09-23 09:26:03	ga_ls8c_ard_3-0-0_091083_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-11-24 09:33:48	ga_ls8c_ard_3-0-0_093071_2015-11-24_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-11-24 09:34:36	ga_ls8c_ard_3-0-0_093073_2015-11-24_final
2015-11-24 09:34:59	ga_ls8c_ard_3-0-0_093074_2015-11-24_final
2015-11-24 09:35:23	ga_ls8c_ard_3-0-0_093075_2015-11-24_final
2015-11-24 09:35:47	ga_ls8c_ard_3-0-0_093076_2015-11-24_final
2015-11-26 09:25:02	ga_ls8c_ard_3-0-0_091080_2015-11-25_final
2015-11-26 09:25:26	ga_ls8c_ard_3-0-0_091081_2015-11-25_final
2015-11-26 09:25:50	ga_ls8c_ard_3-0-0_091082_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2018-05-19 09:19:15	ga_ls8c_ard_3-0-0_090084_2018-05-18_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-22 09:43:20	ga_ls8c_ard_3-0-0_095067_2018-05-22_final
2019-12-16 09:20:35	ga_ls8c_ard_3-2-0_090084_2019-12-15_final
2019-12-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2019-12-15_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2019-12-16 09:22:35	ga_ls8c_ard_3-2-0_090089_2019-12-15_final
2020-01-17 09:20:28	ga_ls8c_ard_3-1-0_090084_2020-01-16_final
2020-01-17 09:20:51	ga_ls8c_ard_3-1-0_090085_2020-01-16_final
2020-01-17 09:21:15	ga_ls8c_ard_3-1-0_090086_2020-01-16_final
2020-01-17 09:21:39	ga_ls8c_ard_3-1-0_090087_2020-01-16_final
2020-01-17 09:22:03	ga_ls8c_ard_3-1-0_090088_2020-01-16_final
2020-01-17 09:22:27	ga_ls8c_ard_3-1-0_090089_2020-01-16_final
2020-02-11 09:15:21	ga_ls8c_ard_3-1-0_089087_2020-02-10_final
2020-02-11 09:15:45	ga_ls8c_ard_3-1-0_089088_2020-02-10_final
2020-02-11 09:16:09	ga_ls8c_ard_3-1-0_089089_2020-02-10_final
2020-02-11 09:16:33	ga_ls8c_ard_3-1-0_089090_2020-02-10_final
2020-05-01 09:14:46	ga_ls8c_ard_3-1-0_089087_2020-04-30_final
2020-05-01 09:15:10	ga_ls8c_ard_3-1-0_089088_2020-04-30_final
2020-05-01 09:15:34	ga_ls8c_ard_3-1-0_089089_2020-04-30_final
2020-05-01 09:15:58	ga_ls8c_ard_3-1-0_089090_2020-04-30_final
2021-01-06 09:44:39	ga_ls8c_ard_3-2-0_095067_2021-01-06_final
2021-03-27 09:44:12	ga_ls8c_ard_3-2-0_095067_2021-03-27_final
2021-03-29 09:33:26	ga_ls8c_ard_3-2-0_093071_2021-03-29_final
2021-03-29 09:33:50	ga_ls8c_ard_3-2-0_093072_2021-03-29_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-03-29 09:34:38	ga_ls8c_ard_3-2-0_093074_2021-03-29_final
2021-03-29 09:35:02	ga_ls8c_ard_3-2-0_093075_2021-03-29_final
2021-03-29 09:35:26	ga_ls8c_ard_3-2-0_093076_2021-03-29_final
2021-03-29 09:35:50	ga_ls8c_ard_3-2-0_093077_2021-03-29_final
2021-03-31 09:24:39	ga_ls8c_ard_3-2-0_091080_2021-03-30_final
2021-03-31 09:25:03	ga_ls8c_ard_3-2-0_091081_2021-03-30_final
2021-03-31 09:25:27	ga_ls8c_ard_3-2-0_091082_2021-03-30_final
2021-03-31 09:25:51	ga_ls8c_ard_3-2-0_091083_2021-03-30_final
2021-03-31 09:26:15	ga_ls8c_ard_3-2-0_091084_2021-03-30_final
2021-03-31 09:26:39	ga_ls8c_ard_3-2-0_091085_2021-03-30_final
2021-04-09 09:20:01	ga_ls8c_ard_3-2-0_090084_2021-04-08_final
2021-04-09 09:20:25	ga_ls8c_ard_3-2-0_090085_2021-04-08_final
2021-04-09 09:20:49	ga_ls8c_ard_3-2-0_090086_2021-04-08_final
2021-04-09 09:21:13	ga_ls8c_ard_3-2-0_090087_2021-04-08_final
2021-04-09 09:21:37	ga_ls8c_ard_3-2-0_090088_2021-04-08_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