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
2016-01-06 09:19:58	ga_ls8c_ard_3-0-0_090083_2016-01-05_final
2016-01-06 09:20:22	ga_ls8c_ard_3-0-0_090084_2016-01-05_final
2016-01-06 09:20:46	ga_ls8c_ard_3-0-0_090085_2016-01-05_final
2016-02-26 09:44:18	ga_ls8c_ard_3-0-0_095067_2016-02-26_final
2016-02-28 09:33:32	ga_ls8c_ard_3-0-0_093071_2016-02-28_final
2016-02-28 09:33:56	ga_ls8c_ard_3-0-0_093072_2016-02-28_final
2016-02-28 09:34:20	ga_ls8c_ard_3-0-0_093073_2016-02-28_final
2016-02-28 09:34:44	ga_ls8c_ard_3-0-0_093074_2016-02-28_final
2016-02-28 09:35:08	ga_ls8c_ard_3-0-0_093075_2016-02-28_final
2016-02-28 09:35:32	ga_ls8c_ard_3-0-0_093076_2016-02-28_final
2016-03-01 09:24:22	ga_ls8c_ard_3-0-0_091079_2016-02-29_final
2016-03-01 09:24:46	ga_ls8c_ard_3-0-0_091080_2016-02-29_final
2016-03-01 09:25:10	ga_ls8c_ard_3-0-0_091081_2016-02-29_final
2016-03-01 09:25:34	ga_ls8c_ard_3-0-0_091082_2016-02-29_final
2016-03-01 09:25:58	ga_ls8c_ard_3-0-0_091083_2016-02-29_final
2016-03-01 09:26:22	ga_ls8c_ard_3-0-0_091084_2016-02-29_final
2016-03-01 09:26:46	ga_ls8c_ard_3-0-0_091085_2016-02-29_final
2016-04-02 09:24:07	ga_ls8c_ard_3-0-0_091079_2016-04-01_final
2016-04-02 09:24:31	ga_ls8c_ard_3-0-0_091080_2016-04-01_final
2016-04-02 09:24:55	ga_ls8c_ard_3-0-0_091081_2016-04-01_final
2016-04-02 09:25:19	ga_ls8c_ard_3-0-0_091082_2016-04-01_final
2016-04-02 09:25:43	ga_ls8c_ard_3-0-0_091083_2016-04-01_final
2016-04-02 09:26:07	ga_ls8c_ard_3-0-0_091084_2016-04-01_final
2016-04-02 09:26:31	ga_ls8c_ard_3-0-0_091085_2016-04-01_final
2016-04-14 09:44:00	ga_ls8c_ard_3-0-0_095067_2016-04-14_final
2016-04-16 09:33:13	ga_ls8c_ard_3-0-0_093071_2016-04-16_final
2016-04-16 09:33:37	ga_ls8c_ard_3-0-0_093072_2016-04-16_final
2016-04-16 09:34:01	ga_ls8c_ard_3-0-0_093073_2016-04-16_final
2016-04-16 09:34:25	ga_ls8c_ard_3-0-0_093074_2016-04-16_final
2016-04-16 09:34:49	ga_ls8c_ard_3-0-0_093075_2016-04-16_final
2016-04-16 09:35:13	ga_ls8c_ard_3-0-0_093076_2016-04-16_final
2016-04-18 09:24:02	ga_ls8c_ard_3-0-0_091079_2016-04-17_final
2016-04-18 09:24:26	ga_ls8c_ard_3-0-0_091080_2016-04-17_final
2016-04-18 09:24:50	ga_ls8c_ard_3-0-0_091081_2016-04-17_final
2016-04-18 09:25:14	ga_ls8c_ard_3-0-0_091082_2016-04-17_final
2016-04-18 09:25:38	ga_ls8c_ard_3-0-0_091083_2016-04-17_final
2016-04-18 09:26:02	ga_ls8c_ard_3-0-0_091084_2016-04-17_final
2016-04-18 09:26:26	ga_ls8c_ard_3-0-0_091085_2016-04-17_final
2018-12-11 09:28:56	ga_ls8c_ard_3-0-0_092075_2018-12-10_final
2018-12-11 09:29:20	ga_ls8c_ard_3-0-0_092076_2018-12-10_final
2018-12-11 09:29:44	ga_ls8c_ard_3-0-0_092077_2018-12-10_final
2018-12-11 09:30:08	ga_ls8c_ard_3-0-0_092078_2018-12-11_final
2018-12-11 09:30:32	ga_ls8c_ard_3-0-0_092079_2018-12-11_final
2018-12-11 09:30:56	ga_ls8c_ard_3-0-0_092080_2018-12-11_final
2018-12-11 09:31:20	ga_ls8c_ard_3-0-0_092081_2018-12-11_final
2018-12-13 09:19:46	ga_ls8c_ard_3-0-0_090083_2018-12-12_final
2018-12-13 09:20:10	ga_ls8c_ard_3-0-0_090084_2018-12-12_final
2018-12-13 09:20:33	ga_ls8c_ard_3-0-0_090085_2018-12-12_final
2018-12-13 09:20:57	ga_ls8c_ard_3-0-0_090086_2018-12-12_final
2018-12-13 09:21:21	ga_ls8c_ard_3-0-0_090087_2018-12-12_final
2018-12-13 09:21:45	ga_ls8c_ard_3-0-0_090088_2018-12-12_final
2018-12-13 09:22:09	ga_ls8c_ard_3-0-0_090089_2018-12-12_final
2019-01-12 09:28:54	ga_ls8c_ard_3-0-0_092075_2019-01-11_final
2019-01-12 09:29:18	ga_ls8c_ard_3-0-0_092076_2019-01-11_final
2019-01-12 09:29:42	ga_ls8c_ard_3-0-0_092077_2019-01-11_final
2019-01-12 09:30:06	ga_ls8c_ard_3-0-0_092078_2019-01-12_final
2019-01-12 09:30:30	ga_ls8c_ard_3-0-0_092079_2019-01-12_final
2019-01-12 09:30:54	ga_ls8c_ard_3-0-0_092080_2019-01-12_final
2019-01-12 09:31:18	ga_ls8c_ard_3-0-0_092081_2019-01-12_final
2019-01-14 09:19:44	ga_ls8c_ard_3-0-0_090083_2019-01-13_final
2019-01-14 09:20:08	ga_ls8c_ard_3-0-0_090084_2019-01-13_final
2019-01-14 09:20:32	ga_ls8c_ard_3-0-0_090085_2019-01-13_final
2019-01-14 09:20:56	ga_ls8c_ard_3-0-0_090086_2019-01-13_final
2019-01-14 09:21:20	ga_ls8c_ard_3-0-0_090087_2019-01-13_final
2019-01-14 09:21:44	ga_ls8c_ard_3-0-0_090088_2019-01-13_final
2019-01-14 09:22:08	ga_ls8c_ard_3-0-0_090089_2019-01-13_final
2020-06-21 09:37:56	ga_ls8c_ard_3-1-0_094067_2020-06-21_final
2020-06-21 09:39:31	ga_ls8c_ard_3-1-0_094071_2020-06-21_final
2020-06-23 09:28:47	ga_ls8c_ard_3-1-0_092075_2020-06-22_final
2020-06-23 09:29:10	ga_ls8c_ard_3-1-0_092076_2020-06-22_final
2020-06-23 09:29:34	ga_ls8c_ard_3-1-0_092077_2020-06-22_final
2020-06-23 09:29:58	ga_ls8c_ard_3-1-0_092078_2020-06-22_final
2020-06-23 09:30:22	ga_ls8c_ard_3-1-0_092079_2020-06-23_final
2020-06-23 09:30:46	ga_ls8c_ard_3-1-0_092080_2020-06-23_final
2020-06-23 09:31:10	ga_ls8c_ard_3-1-0_092081_2020-06-23_final
2020-07-09 09:28:54	ga_ls8c_ard_3-1-0_092075_2020-07-08_final
2020-07-09 09:29:18	ga_ls8c_ard_3-1-0_092076_2020-07-08_final
2020-07-09 09:29:41	ga_ls8c_ard_3-1-0_092077_2020-07-08_final
2020-07-09 09:30:05	ga_ls8c_ard_3-1-0_092078_2020-07-09_final
2020-07-09 09:30:29	ga_ls8c_ard_3-1-0_092079_2020-07-09_final
2020-07-09 09:30:53	ga_ls8c_ard_3-1-0_092080_2020-07-09_final
2020-07-09 09:31:17	ga_ls8c_ard_3-1-0_092081_2020-07-09_final
2020-07-16 09:33:31	ga_ls8c_ard_3-1-0_093071_2020-07-16_final
2020-07-16 09:33:55	ga_ls8c_ard_3-1-0_093072_2020-07-16_final
2020-07-16 09:34:19	ga_ls8c_ard_3-1-0_093073_2020-07-16_final
2020-07-16 09:34:43	ga_ls8c_ard_3-1-0_093074_2020-07-16_final
2020-07-16 09:35:07	ga_ls8c_ard_3-1-0_093075_2020-07-16_final
2020-07-16 09:35:31	ga_ls8c_ard_3-1-0_093076_2020-07-16_final
2020-07-18 09:24:22	ga_ls8c_ard_3-1-0_091079_2020-07-17_final
2020-07-18 09:24:46	ga_ls8c_ard_3-1-0_091080_2020-07-17_final
2020-07-18 09:25:10	ga_ls8c_ard_3-1-0_091081_2020-07-17_final
2020-07-18 09:25:34	ga_ls8c_ard_3-1-0_091082_2020-07-17_final
2020-07-18 09:25:57	ga_ls8c_ard_3-1-0_091083_2020-07-17_final
2020-07-18 09:26:21	ga_ls8c_ard_3-1-0_091084_2020-07-17_final
2020-07-18 09:26:45	ga_ls8c_ard_3-1-0_091085_2020-07-17_final
2020-09-29 09:20:12	ga_ls8c_ard_3-1-0_090083_2020-09-28_final
2020-09-29 09:20:36	ga_ls8c_ard_3-1-0_090084_2020-09-28_final
2020-09-29 09:21:00	ga_ls8c_ard_3-1-0_090085_2020-09-28_final
2020-09-29 09:21:24	ga_ls8c_ard_3-1-0_090086_2020-09-28_final
2020-09-29 09:21:48	ga_ls8c_ard_3-1-0_090087_2020-09-28_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