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
2013-05-28 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-05-28_final
2013-06-22 09:24:12	ga_ls8c_ard_3-0-0_090089_2013-06-21_final
2013-06-29 09:30:25	ga_ls8c_ard_3-0-0_091089_2013-06-29_final
2013-07-01 09:18:04	ga_ls8c_ard_3-0-0_089089_2013-06-30_final
2013-07-22 09:36:12	ga_ls8c_ard_3-0-0_092088_2013-07-22_final
2013-07-22 09:36:36	ga_ls8c_ard_3-0-0_092089_2013-07-22_final
2013-07-24 09:24:15	ga_ls8c_ard_3-0-0_090089_2013-07-23_final
2013-07-31 09:30:28	ga_ls8c_ard_3-0-0_091089_2013-07-31_final
2013-08-02 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-01_final
2013-08-07 09:36:40	ga_ls8c_ard_3-0-0_092089_2013-08-07_final
2013-08-16 09:30:28	ga_ls8c_ard_3-0-0_091089_2013-08-16_final
2013-08-18 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-17_final
2013-08-23 09:36:41	ga_ls8c_ard_3-0-0_092089_2013-08-23_final
2013-08-25 09:24:20	ga_ls8c_ard_3-0-0_090089_2013-08-24_final
2017-10-21 09:34:57	ga_ls8c_ard_3-0-0_092089_2017-10-21_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-10-23 09:22:35	ga_ls8c_ard_3-0-0_090089_2017-10-22_final
2017-10-28 09:40:44	ga_ls8c_ard_3-0-0_093088_2017-10-28_final
2017-10-30 09:28:46	ga_ls8c_ard_3-0-0_091089_2017-10-29_final
2017-11-01 09:16:24	ga_ls8c_ard_3-0-0_089089_2017-10-31_final
2017-11-06 09:34:56	ga_ls8c_ard_3-0-0_092089_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-15 09:28:43	ga_ls8c_ard_3-0-0_091089_2017-11-14_final
2017-11-17 09:16:21	ga_ls8c_ard_3-0-0_089089_2017-11-16_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-12-01 09:28:37	ga_ls8c_ard_3-0-0_091089_2017-11-30_final
2017-12-03 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-12-02_final
2017-12-08 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-12-08_final
2017-12-10 09:22:26	ga_ls8c_ard_3-0-0_090089_2017-12-09_final
2017-12-17 09:28:39	ga_ls8c_ard_3-0-0_091089_2017-12-16_final
2017-12-19 09:15:54	ga_ls8c_ard_3-0-0_089088_2017-12-18_final
2017-12-19 09:16:18	ga_ls8c_ard_3-0-0_089089_2017-12-18_final
2017-12-24 09:34:50	ga_ls8c_ard_3-0-0_092089_2017-12-24_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2018-01-04 09:16:15	ga_ls8c_ard_3-0-0_089089_2018-01-03_final
2018-01-09 09:34:45	ga_ls8c_ard_3-0-0_092089_2018-01-09_final
2018-01-11 09:22:22	ga_ls8c_ard_3-0-0_090089_2018-01-10_final
2018-01-18 09:28:30	ga_ls8c_ard_3-0-0_091089_2018-01-17_final
2018-09-11 09:52:24	ga_ls8c_ard_3-0-0_095088_2018-09-11_final
2018-09-13 09:40:03	ga_ls8c_ard_3-0-0_093088_2018-09-13_final
2018-09-15 09:28:05	ga_ls8c_ard_3-0-0_091089_2018-09-14_final
2018-09-27 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-09-27_final
2018-09-29 09:40:09	ga_ls8c_ard_3-0-0_093088_2018-09-29_final
2018-10-01 09:28:12	ga_ls8c_ard_3-0-0_091089_2018-09-30_final
2018-10-17 09:28:19	ga_ls8c_ard_3-0-0_091089_2018-10-16_final
2018-10-22 09:46:29	ga_ls8c_ard_3-0-0_094088_2018-10-22_final
2018-11-02 09:28:23	ga_ls8c_ard_3-0-0_091089_2018-11-01_final
2018-11-14 09:52:44	ga_ls8c_ard_3-0-0_095088_2018-11-14_final
2018-11-16 09:40:22	ga_ls8c_ard_3-0-0_093088_2018-11-16_final
2018-11-23 09:46:32	ga_ls8c_ard_3-0-0_094088_2018-11-23_final
2018-11-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-11-30_final
2018-12-02 09:40:20	ga_ls8c_ard_3-0-0_093088_2018-12-02_final
2018-12-04 09:28:22	ga_ls8c_ard_3-0-0_091089_2018-12-03_final
2018-12-18 09:40:18	ga_ls8c_ard_3-0-0_093088_2018-12-18_final
2018-12-20 09:28:21	ga_ls8c_ard_3-0-0_091089_2018-12-19_final
2019-01-05 09:28:20	ga_ls8c_ard_3-0-0_091089_2019-01-04_final
2019-06-14 09:28:17	ga_ls8c_ard_3-1-0_091089_2019-06-13_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-05 09:46:32	ga_ls8c_ard_3-1-0_094088_2019-07-05_final
2019-07-07 09:34:10	ga_ls8c_ard_3-1-0_092088_2019-07-07_final
2019-07-07 09:34:34	ga_ls8c_ard_3-1-0_092089_2019-07-07_final
2019-07-18 09:15:39	ga_ls8c_ard_3-1-0_089088_2019-07-17_final
2019-07-18 09:16:03	ga_ls8c_ard_3-1-0_089089_2019-07-17_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-25 09:22:17	ga_ls8c_ard_3-1-0_090089_2019-07-24_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-17 09:28:37	ga_ls8c_ard_3-1-0_091089_2019-08-16_final
2019-08-19 09:16:16	ga_ls8c_ard_3-1-0_089089_2019-08-18_final
2019-08-24 09:34:49	ga_ls8c_ard_3-1-0_092089_2019-08-24_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-04 09:15:55	ga_ls8c_ard_3-1-0_089088_2019-09-03_final
2019-09-04 09:16:19	ga_ls8c_ard_3-1-0_089089_2019-09-03_final
2019-09-18 09:28:46	ga_ls8c_ard_3-1-0_091089_2019-09-17_final
2019-09-23 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-09-23_final
2019-09-25 09:34:59	ga_ls8c_ard_3-1-0_092089_2019-09-25_final
2019-10-04 09:28:50	ga_ls8c_ard_3-1-0_091089_2019-10-03_final
2019-10-06 09:16:29	ga_ls8c_ard_3-1-0_089089_2019-10-05_final
2019-10-20 09:28:52	ga_ls8c_ard_3-1-0_091089_2019-10-19_final
2019-10-22 09:16:30	ga_ls8c_ard_3-1-0_089089_2019-10-21_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-10-18 09:53:08	ga_ls8c_ard_3-1-0_095088_2020-10-18_final
2020-10-20 09:40:46	ga_ls8c_ard_3-1-0_093088_2020-10-20_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-11-12 09:46:53	ga_ls8c_ard_3-1-0_094088_2020-11-12_final
2020-11-19 09:53:06	ga_ls8c_ard_3-1-0_095088_2020-11-19_final
2020-11-23 09:28:47	ga_ls8c_ard_3-1-0_091089_2020-11-22_final
2020-12-11 09:16:28	ga_ls8c_ard_3-1-0_089089_2020-12-10_final
2020-12-25 09:28:47	ga_ls8c_ard_3-2-0_091089_2020-12-24_final
2020-12-27 09:16:01	ga_ls8c_ard_3-2-0_089088_2020-12-26_final
2020-12-27 09:16:25	ga_ls8c_ard_3-2-0_089089_2020-12-26_final
2021-01-17 09:34:48	ga_ls8c_ard_3-2-0_092089_2021-01-17_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