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:

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First 100 results (query limit)

Time (local)	Label
2015-07-23 09:14:54	ga_ls8c_ard_3-0-0_089087_2015-07-22_final
2015-07-23 09:15:18	ga_ls8c_ard_3-0-0_089088_2015-07-22_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-08 09:16:09	ga_ls8c_ard_3-0-0_089090_2015-08-07_final
2017-04-17 09:43:51	ga_ls8c_ard_3-0-0_095067_2017-04-17_final
2017-04-19 09:33:04	ga_ls8c_ard_3-0-0_093071_2017-04-19_final
2017-04-19 09:33:28	ga_ls8c_ard_3-0-0_093072_2017-04-19_final
2017-04-19 09:33:51	ga_ls8c_ard_3-0-0_093073_2017-04-19_final
2017-04-19 09:34:15	ga_ls8c_ard_3-0-0_093074_2017-04-19_final
2017-04-19 09:34:39	ga_ls8c_ard_3-0-0_093075_2017-04-19_final
2017-04-19 09:35:03	ga_ls8c_ard_3-0-0_093076_2017-04-19_final
2017-04-19 09:35:27	ga_ls8c_ard_3-0-0_093077_2017-04-19_final
2017-04-21 09:24:16	ga_ls8c_ard_3-0-0_091080_2017-04-20_final
2017-04-21 09:24:40	ga_ls8c_ard_3-0-0_091081_2017-04-20_final
2017-04-21 09:25:04	ga_ls8c_ard_3-0-0_091082_2017-04-20_final
2017-04-21 09:25:28	ga_ls8c_ard_3-0-0_091083_2017-04-20_final
2017-04-21 09:25:52	ga_ls8c_ard_3-0-0_091084_2017-04-20_final
2017-04-21 09:26:16	ga_ls8c_ard_3-0-0_091085_2017-04-20_final
2017-04-28 09:28:46	ga_ls8c_ard_3-0-0_092076_2017-04-27_final
2017-04-28 09:29:10	ga_ls8c_ard_3-0-0_092077_2017-04-27_final
2017-04-28 09:29:34	ga_ls8c_ard_3-0-0_092078_2017-04-27_final
2017-04-28 09:29:58	ga_ls8c_ard_3-0-0_092079_2017-04-27_final
2017-04-28 09:30:22	ga_ls8c_ard_3-0-0_092080_2017-04-28_final
2017-04-28 09:30:46	ga_ls8c_ard_3-0-0_092081_2017-04-28_final
2017-05-09 09:14:40	ga_ls8c_ard_3-0-0_089087_2017-05-08_final
2017-05-09 09:15:04	ga_ls8c_ard_3-0-0_089088_2017-05-08_final
2017-05-09 09:15:28	ga_ls8c_ard_3-0-0_089089_2017-05-08_final
2017-05-09 09:15:52	ga_ls8c_ard_3-0-0_089090_2017-05-08_final
2017-06-04 09:44:02	ga_ls8c_ard_3-0-0_095067_2017-06-04_final
2017-06-10 09:14:59	ga_ls8c_ard_3-0-0_089087_2017-06-09_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2017-06-10 09:16:11	ga_ls8c_ard_3-0-0_089090_2017-06-09_final
2017-06-29 09:38:00	ga_ls8c_ard_3-0-0_094067_2017-06-29_final
2017-08-16 09:38:17	ga_ls8c_ard_3-0-0_094067_2017-08-16_final
2017-08-16 09:39:53	ga_ls8c_ard_3-0-0_094071_2017-08-16_final
2017-08-16 09:40:16	ga_ls8c_ard_3-0-0_094072_2017-08-16_final
2017-11-20 09:38:27	ga_ls8c_ard_3-0-0_094067_2017-11-20_final
2017-11-20 09:40:03	ga_ls8c_ard_3-0-0_094071_2017-11-20_final
2017-11-20 09:40:26	ga_ls8c_ard_3-0-0_094072_2017-11-20_final
2017-11-22 09:29:40	ga_ls8c_ard_3-0-0_092076_2017-11-21_final
2017-11-22 09:30:04	ga_ls8c_ard_3-0-0_092077_2017-11-22_final
2017-11-22 09:30:28	ga_ls8c_ard_3-0-0_092078_2017-11-22_final
2017-11-22 09:30:52	ga_ls8c_ard_3-0-0_092079_2017-11-22_final
2017-11-22 09:31:16	ga_ls8c_ard_3-0-0_092080_2017-11-22_final
2017-11-22 09:31:40	ga_ls8c_ard_3-0-0_092081_2017-11-22_final
2017-12-03 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-12-02_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_final
2017-12-03 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-12-02_final
2017-12-03 09:16:39	ga_ls8c_ard_3-0-0_089090_2017-12-02_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2017-12-08 09:29:36	ga_ls8c_ard_3-0-0_092076_2017-12-07_final
2017-12-08 09:30:00	ga_ls8c_ard_3-0-0_092077_2017-12-08_final
2017-12-08 09:30:24	ga_ls8c_ard_3-0-0_092078_2017-12-08_final
2017-12-08 09:30:48	ga_ls8c_ard_3-0-0_092079_2017-12-08_final
2017-12-08 09:31:12	ga_ls8c_ard_3-0-0_092080_2017-12-08_final
2017-12-08 09:31:36	ga_ls8c_ard_3-0-0_092081_2017-12-08_final
2018-01-07 09:38:21	ga_ls8c_ard_3-0-0_094067_2018-01-07_final
2018-01-07 09:39:56	ga_ls8c_ard_3-0-0_094071_2018-01-07_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-01-09 09:29:34	ga_ls8c_ard_3-0-0_092076_2018-01-08_final
2018-01-09 09:29:57	ga_ls8c_ard_3-0-0_092077_2018-01-08_final
2018-01-09 09:30:21	ga_ls8c_ard_3-0-0_092078_2018-01-09_final
2018-01-09 09:30:45	ga_ls8c_ard_3-0-0_092079_2018-01-09_final
2018-01-09 09:31:09	ga_ls8c_ard_3-0-0_092080_2018-01-09_final
2018-01-09 09:31:33	ga_ls8c_ard_3-0-0_092081_2018-01-09_final
2018-01-23 09:38:12	ga_ls8c_ard_3-0-0_094067_2018-01-23_final
2018-01-23 09:39:48	ga_ls8c_ard_3-0-0_094071_2018-01-23_final
2018-01-23 09:40:12	ga_ls8c_ard_3-0-0_094072_2018-01-23_final
2018-01-25 09:29:25	ga_ls8c_ard_3-0-0_092076_2018-01-24_final
2018-01-25 09:29:49	ga_ls8c_ard_3-0-0_092077_2018-01-24_final
2018-01-25 09:30:13	ga_ls8c_ard_3-0-0_092078_2018-01-25_final
2018-01-25 09:30:37	ga_ls8c_ard_3-0-0_092079_2018-01-25_final
2018-01-25 09:31:01	ga_ls8c_ard_3-0-0_092080_2018-01-25_final
2018-01-25 09:31:25	ga_ls8c_ard_3-0-0_092081_2018-01-25_final
2018-03-16 09:19:51	ga_ls8c_ard_3-0-0_090084_2018-03-15_final
2018-03-16 09:20:15	ga_ls8c_ard_3-0-0_090085_2018-03-15_final
2018-03-16 09:20:39	ga_ls8c_ard_3-0-0_090086_2018-03-15_final
2018-03-16 09:21:03	ga_ls8c_ard_3-0-0_090087_2018-03-15_final
2018-03-16 09:21:27	ga_ls8c_ard_3-0-0_090088_2018-03-15_final
2018-03-16 09:21:51	ga_ls8c_ard_3-0-0_090089_2018-03-15_final
2018-03-19 09:43:57	ga_ls8c_ard_3-0-0_095067_2018-03-19_final
2018-04-01 09:19:44	ga_ls8c_ard_3-0-0_090084_2018-03-31_final
2018-04-01 09:20:08	ga_ls8c_ard_3-0-0_090085_2018-03-31_final
2018-04-01 09:20:32	ga_ls8c_ard_3-0-0_090086_2018-03-31_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-01 09:21:20	ga_ls8c_ard_3-0-0_090088_2018-03-31_final
2018-04-01 09:21:44	ga_ls8c_ard_3-0-0_090089_2018-03-31_final
2018-04-04 09:43:50	ga_ls8c_ard_3-0-0_095067_2018-04-04_final
2018-05-06 09:43:32	ga_ls8c_ard_3-0-0_095067_2018-05-06_final
2018-07-06 09:19:23	ga_ls8c_ard_3-0-0_090084_2018-07-05_final
2018-07-06 09:19:47	ga_ls8c_ard_3-0-0_090085_2018-07-05_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_final
2018-07-06 09:21:23	ga_ls8c_ard_3-0-0_090089_2018-07-05_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