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
2015-03-26 09:07:27	ga_ls8c_ard_3-0-0_088084_2015-03-25_final
2015-09-02 09:07:45	ga_ls8c_ard_3-0-0_088084_2015-09-01_final
2015-09-18 09:07:53	ga_ls8c_ard_3-0-0_088084_2015-09-17_final
2016-04-13 09:07:32	ga_ls8c_ard_3-0-0_088084_2016-04-12_final
2016-04-29 09:07:30	ga_ls8c_ard_3-0-0_088084_2016-04-28_final
2016-05-15 09:07:29	ga_ls8c_ard_3-0-0_088084_2016-05-14_final
2016-05-31 09:07:35	ga_ls8c_ard_3-0-0_088084_2016-05-30_final
2016-08-03 09:07:57	ga_ls8c_ard_3-0-0_088084_2016-08-02_final
2016-12-25 09:08:10	ga_ls8c_ard_3-0-0_088084_2016-12-24_final
2017-05-02 09:07:12	ga_ls8c_ard_3-0-0_088084_2017-05-01_final
2017-05-18 09:07:24	ga_ls8c_ard_3-0-0_088084_2017-05-17_final
2017-06-03 09:07:33	ga_ls8c_ard_3-0-0_088084_2017-06-02_final
2017-06-19 09:07:39	ga_ls8c_ard_3-0-0_088084_2017-06-18_final
2017-07-05 09:07:43	ga_ls8c_ard_3-0-0_088084_2017-07-04_final
2017-07-21 09:07:48	ga_ls8c_ard_3-0-0_088084_2017-07-20_final
2017-08-06 09:07:56	ga_ls8c_ard_3-0-0_088084_2017-08-05_final
2017-08-22 09:08:01	ga_ls8c_ard_3-0-0_088084_2017-08-21_final
2017-09-07 09:08:03	ga_ls8c_ard_3-0-0_088084_2017-09-06_final
2017-09-23 09:08:07	ga_ls8c_ard_3-0-0_088084_2017-09-22_final
2017-10-09 09:08:12	ga_ls8c_ard_3-0-0_088084_2017-10-08_final
2017-10-25 09:08:14	ga_ls8c_ard_3-0-0_088084_2017-10-24_final
2017-11-10 09:08:12	ga_ls8c_ard_3-0-0_088084_2017-11-09_final
2017-11-26 09:08:06	ga_ls8c_ard_3-0-0_088084_2017-11-25_final
2017-12-12 09:08:05	ga_ls8c_ard_3-0-0_088084_2017-12-11_final
2017-12-28 09:08:06	ga_ls8c_ard_3-0-0_088084_2017-12-27_final
2018-01-13 09:08:00	ga_ls8c_ard_3-0-0_088084_2018-01-12_final
2018-02-14 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-02-13_final
2018-03-02 09:07:38	ga_ls8c_ard_3-0-0_088084_2018-03-01_final
2018-03-18 09:07:29	ga_ls8c_ard_3-0-0_088084_2018-03-17_final
2018-04-03 09:07:22	ga_ls8c_ard_3-0-0_088084_2018-04-02_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2018-05-05 09:07:04	ga_ls8c_ard_3-0-0_088084_2018-05-04_final
2018-05-21 09:06:52	ga_ls8c_ard_3-0-0_088084_2018-05-20_final
2018-06-06 09:06:42	ga_ls8c_ard_3-0-0_088084_2018-06-05_final
2018-06-22 09:06:54	ga_ls8c_ard_3-1-0_088084_2018-06-21_final
2018-07-08 09:07:03	ga_ls8c_ard_3-0-0_088084_2018-07-07_final
2018-07-24 09:07:09	ga_ls8c_ard_3-0-0_088084_2018-07-23_final
2018-08-09 09:07:18	ga_ls8c_ard_3-0-0_088084_2018-08-08_final
2018-08-25 09:07:26	ga_ls8c_ard_3-0-0_088084_2018-08-24_final
2018-09-10 09:07:32	ga_ls8c_ard_3-0-0_088084_2018-09-09_final
2018-09-26 09:07:37	ga_ls8c_ard_3-0-0_088084_2018-09-25_final
2018-10-12 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-10-11_final
2018-10-28 09:07:50	ga_ls8c_ard_3-0-0_088084_2018-10-27_final
2018-11-13 09:07:52	ga_ls8c_ard_3-0-0_088084_2018-11-12_final
2018-11-29 09:07:51	ga_ls8c_ard_3-0-0_088084_2018-11-28_final
2018-12-15 09:07:48	ga_ls8c_ard_3-0-0_088084_2018-12-14_final
2018-12-31 09:07:48	ga_ls8c_ard_3-0-0_088084_2018-12-30_final
2019-02-01 09:07:42	ga_ls8c_ard_3-0-0_088084_2019-01-31_final
2019-03-05 09:07:35	ga_ls8c_ard_3-0-0_088084_2019-03-04_final
2019-03-21 09:07:31	ga_ls8c_ard_3-1-0_088084_2019-03-20_final
2019-04-06 09:07:27	ga_ls8c_ard_3-1-0_088084_2019-04-05_final
2019-04-22 09:07:21	ga_ls8c_ard_3-0-0_088084_2019-04-21_final
2019-05-08 09:07:25	ga_ls8c_ard_3-0-0_088084_2019-05-07_final
2019-05-24 09:07:35	ga_ls8c_ard_3-0-0_088084_2019-05-23_final
2019-06-09 09:07:43	ga_ls8c_ard_3-0-0_088084_2019-06-08_final
2019-06-25 09:07:48	ga_ls8c_ard_3-1-0_088084_2019-06-24_final
2019-07-11 09:07:52	ga_ls8c_ard_3-1-0_088084_2019-07-10_final
2019-07-27 09:07:57	ga_ls8c_ard_3-1-0_088084_2019-07-26_final
2019-08-12 09:08:03	ga_ls8c_ard_3-1-0_088084_2019-08-11_final
2019-08-28 09:08:07	ga_ls8c_ard_3-1-0_088084_2019-08-27_final
2019-09-13 09:08:12	ga_ls8c_ard_3-1-0_088084_2019-09-12_final
2019-09-29 09:08:17	ga_ls8c_ard_3-1-0_088084_2019-09-28_final
2019-10-15 09:08:19	ga_ls8c_ard_3-1-0_088084_2019-10-14_final
2019-10-31 09:08:19	ga_ls8c_ard_3-1-0_088084_2019-10-30_final
2019-11-16 09:08:16	ga_ls8c_ard_3-1-0_088084_2019-11-15_final
2019-12-02 09:08:15	ga_ls8c_ard_3-1-0_088084_2019-12-01_final
2020-01-19 09:08:05	ga_ls8c_ard_3-1-0_088084_2020-01-18_final
2020-02-04 09:08:00	ga_ls8c_ard_3-1-0_088084_2020-02-03_final
2020-02-20 09:07:57	ga_ls8c_ard_3-1-0_088084_2020-02-19_final
2020-03-07 09:07:51	ga_ls8c_ard_3-1-0_088084_2020-03-06_final
2020-03-23 09:07:43	ga_ls8c_ard_3-1-0_088084_2020-03-22_final
2020-04-08 09:07:35	ga_ls8c_ard_3-1-0_088084_2020-04-07_final
2020-04-24 09:07:28	ga_ls8c_ard_3-1-0_088084_2020-04-23_final
2020-05-10 09:07:20	ga_ls8c_ard_3-1-0_088084_2020-05-09_final
2020-05-26 09:07:23	ga_ls8c_ard_3-1-0_088084_2020-05-25_final
2020-06-11 09:07:32	ga_ls8c_ard_3-1-0_088084_2020-06-10_final
2020-06-27 09:07:41	ga_ls8c_ard_3-1-0_088084_2020-06-26_final
2020-07-13 09:07:47	ga_ls8c_ard_3-1-0_088084_2020-07-12_final
2020-07-29 09:07:52	ga_ls8c_ard_3-1-0_088084_2020-07-28_final
2020-09-15 09:08:11	ga_ls8c_ard_3-1-0_088084_2020-09-14_final
2020-10-01 09:08:15	ga_ls8c_ard_3-1-0_088084_2020-09-30_final
2020-10-17 09:08:16	ga_ls8c_ard_3-1-0_088084_2020-10-16_final
2020-11-18 09:08:14	ga_ls8c_ard_3-1-0_088084_2020-11-17_final
2020-12-04 09:08:17	ga_ls8c_ard_3-1-0_088084_2020-12-03_final
2021-03-10 09:07:50	ga_ls8c_ard_3-2-0_088084_2021-03-09_final
2021-03-26 09:07:44	ga_ls8c_ard_3-2-0_088084_2021-03-25_final
2021-04-11 09:07:39	ga_ls8c_ard_3-2-0_088084_2021-04-10_final
2021-04-27 09:07:31	ga_ls8c_ard_3-2-0_088084_2021-04-26_final
2021-05-13 09:07:29	ga_ls8c_ard_3-2-0_088084_2021-05-12_final
2021-05-29 09:07:39	ga_ls8c_ard_3-2-0_088084_2021-05-28_final
2021-06-14 09:07:46	ga_ls8c_ard_3-2-0_088084_2021-06-13_final
2021-06-30 09:07:49	ga_ls8c_ard_3-2-0_088084_2021-06-29_final
2021-07-16 09:07:50	ga_ls8c_ard_3-2-0_088084_2021-07-15_final
2021-08-01 09:07:59	ga_ls8c_ard_3-2-0_088084_2021-07-31_final
2021-08-17 09:08:05	ga_ls8c_ard_3-2-0_088084_2021-08-16_final
2021-09-02 09:08:10	ga_ls8c_ard_3-2-0_088084_2021-09-01_final
2021-09-18 09:08:13	ga_ls8c_ard_3-2-0_088084_2021-09-17_final
2021-10-04 09:08:18	ga_ls8c_ard_3-2-0_088084_2021-10-03_final
2021-10-20 09:08:22	ga_ls8c_ard_3-2-0_088084_2021-10-19_final
2021-11-05 09:08:21	ga_ls8c_ard_3-2-0_088084_2021-11-04_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