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
2015-04-21 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-21_final
2015-04-21 09:39:11	ga_ls8c_ard_3-0-0_094071_2015-04-21_final
2015-04-23 09:28:24	ga_ls8c_ard_3-0-0_092075_2015-04-22_final
2015-04-23 09:28:48	ga_ls8c_ard_3-0-0_092076_2015-04-22_final
2015-04-23 09:29:12	ga_ls8c_ard_3-0-0_092077_2015-04-22_final
2015-04-23 09:29:36	ga_ls8c_ard_3-0-0_092078_2015-04-22_final
2015-04-23 09:30:00	ga_ls8c_ard_3-0-0_092079_2015-04-23_final
2015-04-23 09:30:24	ga_ls8c_ard_3-0-0_092080_2015-04-23_final
2015-04-30 09:32:54	ga_ls8c_ard_3-0-0_093071_2015-04-30_final
2015-04-30 09:33:17	ga_ls8c_ard_3-0-0_093072_2015-04-30_final
2015-04-30 09:33:41	ga_ls8c_ard_3-0-0_093073_2015-04-30_final
2015-04-30 09:34:05	ga_ls8c_ard_3-0-0_093074_2015-04-30_final
2015-04-30 09:34:29	ga_ls8c_ard_3-0-0_093075_2015-04-30_final
2015-04-30 09:34:53	ga_ls8c_ard_3-0-0_093076_2015-04-30_final
2015-05-02 09:23:41	ga_ls8c_ard_3-0-0_091079_2015-05-01_final
2015-05-02 09:24:05	ga_ls8c_ard_3-0-0_091080_2015-05-01_final
2015-05-02 09:24:29	ga_ls8c_ard_3-0-0_091081_2015-05-01_final
2015-05-02 09:24:53	ga_ls8c_ard_3-0-0_091082_2015-05-01_final
2015-05-02 09:25:17	ga_ls8c_ard_3-0-0_091083_2015-05-01_final
2015-05-02 09:25:41	ga_ls8c_ard_3-0-0_091084_2015-05-01_final
2015-05-04 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-05-03_final
2015-05-04 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-05-03_final
2015-05-04 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-05-03_final
2015-05-04 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-05-03_final
2015-05-04 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-05-03_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2015-06-08 09:39:02	ga_ls8c_ard_3-0-0_094071_2015-06-08_final
2015-06-24 09:37:33	ga_ls8c_ard_3-0-0_094067_2015-06-24_final
2015-06-24 09:39:09	ga_ls8c_ard_3-0-0_094071_2015-06-24_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
2015-07-26 09:37:50	ga_ls8c_ard_3-0-0_094067_2015-07-26_final
2015-07-26 09:39:26	ga_ls8c_ard_3-0-0_094071_2015-07-26_final
2015-09-30 09:29:04	ga_ls8c_ard_3-0-0_092075_2015-09-29_final
2015-09-30 09:29:28	ga_ls8c_ard_3-0-0_092076_2015-09-29_final
2015-09-30 09:29:52	ga_ls8c_ard_3-0-0_092077_2015-09-29_final
2015-09-30 09:30:16	ga_ls8c_ard_3-0-0_092078_2015-09-30_final
2015-09-30 09:30:40	ga_ls8c_ard_3-0-0_092079_2015-09-30_final
2015-09-30 09:31:04	ga_ls8c_ard_3-0-0_092080_2015-09-30_final
2015-10-02 09:19:55	ga_ls8c_ard_3-0-0_090083_2015-10-01_final
2015-10-02 09:20:18	ga_ls8c_ard_3-0-0_090084_2015-10-01_final
2015-10-02 09:20:42	ga_ls8c_ard_3-0-0_090085_2015-10-01_final
2015-10-02 09:21:06	ga_ls8c_ard_3-0-0_090086_2015-10-01_final
2015-10-02 09:21:30	ga_ls8c_ard_3-0-0_090087_2015-10-01_final
2015-10-02 09:21:54	ga_ls8c_ard_3-0-0_090088_2015-10-01_final
2017-04-12 09:28:33	ga_ls8c_ard_3-0-0_092075_2017-04-11_final
2017-04-12 09:28:57	ga_ls8c_ard_3-0-0_092076_2017-04-11_final
2017-04-12 09:29:21	ga_ls8c_ard_3-0-0_092077_2017-04-11_final
2017-04-12 09:29:45	ga_ls8c_ard_3-0-0_092078_2017-04-11_final
2017-04-12 09:30:09	ga_ls8c_ard_3-0-0_092079_2017-04-12_final
2017-04-12 09:30:32	ga_ls8c_ard_3-0-0_092080_2017-04-12_final
2017-04-14 09:19:22	ga_ls8c_ard_3-0-0_090083_2017-04-13_final
2017-04-14 09:19:45	ga_ls8c_ard_3-0-0_090084_2017-04-13_final
2017-04-14 09:20:09	ga_ls8c_ard_3-0-0_090085_2017-04-13_final
2017-04-14 09:20:33	ga_ls8c_ard_3-0-0_090086_2017-04-13_final
2017-04-14 09:20:57	ga_ls8c_ard_3-0-0_090087_2017-04-13_final
2017-04-14 09:21:21	ga_ls8c_ard_3-0-0_090088_2017-04-13_final
2017-04-28 09:28:22	ga_ls8c_ard_3-0-0_092075_2017-04-27_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
2017-04-30 09:19:11	ga_ls8c_ard_3-0-0_090083_2017-04-29_final
2017-04-30 09:19:35	ga_ls8c_ard_3-0-0_090084_2017-04-29_final
2017-04-30 09:19:59	ga_ls8c_ard_3-0-0_090085_2017-04-29_final
2017-04-30 09:20:23	ga_ls8c_ard_3-0-0_090086_2017-04-29_final
2017-04-30 09:20:47	ga_ls8c_ard_3-0-0_090087_2017-04-29_final
2017-04-30 09:21:11	ga_ls8c_ard_3-0-0_090088_2017-04-29_final
2017-05-14 09:28:29	ga_ls8c_ard_3-0-0_092075_2017-05-13_final
2017-05-14 09:28:52	ga_ls8c_ard_3-0-0_092076_2017-05-13_final
2017-05-14 09:29:16	ga_ls8c_ard_3-0-0_092077_2017-05-13_final
2017-05-14 09:29:40	ga_ls8c_ard_3-0-0_092078_2017-05-13_final
2017-05-14 09:30:04	ga_ls8c_ard_3-0-0_092079_2017-05-14_final
2017-05-14 09:30:28	ga_ls8c_ard_3-0-0_092080_2017-05-14_final
2017-05-16 09:19:20	ga_ls8c_ard_3-0-0_090083_2017-05-15_final
2017-05-16 09:19:44	ga_ls8c_ard_3-0-0_090084_2017-05-15_final
2017-05-16 09:20:08	ga_ls8c_ard_3-0-0_090085_2017-05-15_final
2017-05-16 09:20:32	ga_ls8c_ard_3-0-0_090086_2017-05-15_final
2017-05-16 09:20:56	ga_ls8c_ard_3-0-0_090087_2017-05-15_final
2017-05-16 09:21:20	ga_ls8c_ard_3-0-0_090088_2017-05-15_final
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-05-31 09:38:37	ga_ls8c_ard_3-0-0_094071_2018-05-31_final
2018-07-02 09:37:17	ga_ls8c_ard_3-0-0_094067_2018-07-02_final
2018-07-02 09:38:53	ga_ls8c_ard_3-0-0_094071_2018-07-02_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-07-18 09:39:01	ga_ls8c_ard_3-0-0_094071_2018-07-18_final
2018-07-27 09:32:53	ga_ls8c_ard_3-0-0_093071_2018-07-27_final
2018-07-27 09:33:17	ga_ls8c_ard_3-0-0_093072_2018-07-27_final
2018-07-27 09:33:41	ga_ls8c_ard_3-0-0_093073_2018-07-27_final
2018-07-27 09:34:05	ga_ls8c_ard_3-0-0_093074_2018-07-27_final
2018-07-27 09:34:29	ga_ls8c_ard_3-0-0_093075_2018-07-27_final
2018-07-27 09:34:53	ga_ls8c_ard_3-0-0_093076_2018-07-27_final
2018-08-03 09:37:33	ga_ls8c_ard_3-0-0_094067_2018-08-03_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_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