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
2016-11-08 08:18:14	ga_ls8c_ard_3-2-1_079098_2016-11-07_final
2016-11-15 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-14_final
2016-12-10 08:18:12	ga_ls8c_ard_3-2-1_079098_2016-12-09_final
2016-12-26 08:18:08	ga_ls8c_ard_3-2-1_079098_2016-12-25_final
2017-09-24 08:18:05	ga_ls8c_ard_3-2-1_079098_2017-09-23_final
2017-10-01 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-09-30_final
2017-10-10 08:18:11	ga_ls8c_ard_3-2-1_079098_2017-10-09_final
2017-10-17 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-10-16_final
2017-10-26 08:18:12	ga_ls8c_ard_3-2-1_079098_2017-10-25_final
2017-11-02 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-11-01_final
2017-11-11 08:18:10	ga_ls8c_ard_3-2-1_079098_2017-11-10_final
2017-11-18 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-11-17_final
2017-11-27 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-11-26_final
2017-12-20 08:24:17	ga_ls8c_ard_3-2-1_080098_2017-12-19_final
2017-12-29 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-12-28_final
2018-11-05 08:24:00	ga_ls8c_ard_3-2-1_080098_2018-11-04_final
2018-11-14 08:17:50	ga_ls8c_ard_3-2-1_079098_2018-11-13_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-11-30 08:17:49	ga_ls8c_ard_3-2-1_079098_2018-11-29_final
2018-12-07 08:23:59	ga_ls8c_ard_3-2-1_080098_2018-12-06_final
2018-12-16 08:17:46	ga_ls8c_ard_3-2-1_079098_2018-12-15_final
2019-01-01 08:17:46	ga_ls8c_ard_3-2-1_079098_2018-12-31_final
2019-09-21 08:24:23	ga_ls8c_ard_3-2-1_080098_2019-09-20_final
2019-09-30 08:18:15	ga_ls8c_ard_3-2-1_079098_2019-09-29_final
2019-10-07 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-10-06_final
2019-10-16 08:18:18	ga_ls8c_ard_3-2-1_079098_2019-10-15_final
2019-10-23 08:24:29	ga_ls8c_ard_3-2-1_080098_2019-10-22_final
2019-12-03 08:18:13	ga_ls8c_ard_3-2-1_079098_2019-12-02_final
2019-12-19 08:18:11	ga_ls8c_ard_3-2-1_079098_2019-12-18_final
2020-05-11 08:17:18	ga_ls8c_ard_3-2-1_079098_2020-05-10_final
2020-05-18 08:23:31	ga_ls8c_ard_3-2-1_080098_2020-05-17_final
2020-05-27 08:17:21	ga_ls8c_ard_3-2-1_079098_2020-05-26_final
2020-06-03 08:23:36	ga_ls8c_ard_3-2-1_080098_2020-06-02_final
2020-06-12 08:17:31	ga_ls8c_ard_3-2-1_079098_2020-06-11_final
2020-08-22 08:24:09	ga_ls8c_ard_3-2-1_080098_2020-08-21_final
2020-08-31 08:18:03	ga_ls8c_ard_3-2-1_079098_2020-08-30_final
2020-09-07 08:24:17	ga_ls8c_ard_3-2-1_080098_2020-09-06_final
2020-09-16 08:18:09	ga_ls8c_ard_3-2-1_079098_2020-09-15_final
2020-09-23 08:24:22	ga_ls8c_ard_3-2-1_080098_2020-09-22_final
2020-10-02 08:18:13	ga_ls8c_ard_3-2-1_079098_2020-10-01_final
2020-10-18 08:18:14	ga_ls8c_ard_3-2-1_079098_2020-10-17_final
2020-10-25 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-24_final
2020-11-26 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-11-25_final
2020-12-28 08:24:23	ga_ls8c_ard_3-2-1_080098_2020-12-27_final
2021-01-22 08:18:03	ga_ls8c_ard_3-2-1_079098_2021-01-21_final
2021-05-14 08:17:28	ga_ls8c_ard_3-2-1_079098_2021-05-13_final
2021-05-21 08:23:44	ga_ls8c_ard_3-2-1_080098_2021-05-20_final
2021-05-30 08:17:38	ga_ls8c_ard_3-2-1_079098_2021-05-29_final
2021-06-06 08:23:52	ga_ls8c_ard_3-2-1_080098_2021-06-05_final
2021-08-02 08:17:58	ga_ls8c_ard_3-2-1_079098_2021-08-01_final
2021-08-09 08:24:12	ga_ls8c_ard_3-2-1_080098_2021-08-08_final
2021-08-18 08:18:04	ga_ls8c_ard_3-2-1_079098_2021-08-17_final
2021-08-25 08:24:16	ga_ls8c_ard_3-2-1_080098_2021-08-24_final
2021-09-03 08:18:08	ga_ls8c_ard_3-2-1_079098_2021-09-02_final
2021-09-10 08:24:21	ga_ls8c_ard_3-2-1_080098_2021-09-09_final
2021-09-19 08:18:12	ga_ls8c_ard_3-2-1_079098_2021-09-18_final
2021-09-26 08:24:24	ga_ls8c_ard_3-2-1_080098_2021-09-25_final
2021-11-06 08:18:19	ga_ls8c_ard_3-2-1_079098_2021-11-05_final
2021-11-13 08:24:27	ga_ls8c_ard_3-2-1_080098_2021-11-12_final
2021-11-22 08:18:15	ga_ls8c_ard_3-2-1_079098_2021-11-21_final
2021-12-15 08:24:26	ga_ls8c_ard_3-2-1_080098_2021-12-14_final
2021-12-24 08:18:12	ga_ls8c_ard_3-2-1_079098_2021-12-23_final
2022-01-09 08:18:08	ga_ls8c_ard_3-2-1_079098_2022-01-08_final
2022-01-25 08:18:04	ga_ls8c_ard_3-2-1_079098_2022-01-24_final
2022-04-15 08:17:45	ga_ls8c_ard_3-2-1_079098_2022-04-14_final
2022-04-22 08:23:54	ga_ls8c_ard_3-2-1_080098_2022-04-21_final
2022-05-01 08:17:41	ga_ls8c_ard_3-2-1_079098_2022-04-30_final
2022-05-08 08:23:57	ga_ls8c_ard_3-2-1_080098_2022-05-07_final
2022-05-17 08:17:50	ga_ls8c_ard_3-2-1_079098_2022-05-16_final
2022-05-24 08:24:01	ga_ls8c_ard_3-2-1_080098_2022-05-23_final
2022-06-02 08:17:54	ga_ls8c_ard_3-2-1_079098_2022-06-01_final
2022-06-09 08:24:11	ga_ls8c_ard_3-2-1_080098_2022-06-08_final
2022-08-21 08:18:26	ga_ls8c_ard_3-2-1_079098_2022-08-20_final
2022-08-28 08:24:37	ga_ls8c_ard_3-2-1_080098_2022-08-27_final
2022-09-06 08:18:28	ga_ls8c_ard_3-2-1_079098_2022-09-05_final
2022-09-13 08:24:42	ga_ls8c_ard_3-2-1_080098_2022-09-12_final
2022-09-29 08:24:43	ga_ls8c_ard_3-2-1_080098_2022-09-28_final
2022-10-31 08:24:43	ga_ls8c_ard_3-2-1_080098_2022-10-30_final
2022-11-16 08:24:37	ga_ls8c_ard_3-2-1_080098_2022-11-15_final
2022-12-02 08:24:39	ga_ls8c_ard_3-2-1_080098_2022-12-01_final
2022-12-11 08:18:26	ga_ls8c_ard_3-2-1_079098_2022-12-10_final
2022-12-18 08:24:32	ga_ls8c_ard_3-2-1_080098_2022-12-17_final
2022-12-27 08:18:18	ga_ls8c_ard_3-2-1_079098_2022-12-26_final
2023-05-27 08:23:24	ga_ls8c_ard_3-2-1_080098_2023-05-26_final
2023-07-30 08:23:54	ga_ls8c_ard_3-2-1_080098_2023-07-29_final
2023-08-08 08:17:46	ga_ls8c_ard_3-2-1_079098_2023-08-07_final
2023-08-15 08:24:00	ga_ls8c_ard_3-2-1_080098_2023-08-14_final
2023-08-24 08:17:54	ga_ls8c_ard_3-2-1_079098_2023-08-23_final
2023-08-31 08:24:05	ga_ls8c_ard_3-2-1_080098_2023-08-30_final
2023-09-09 08:17:54	ga_ls8c_ard_3-2-1_079098_2023-09-08_final
2023-09-16 08:24:09	ga_ls8c_ard_3-2-1_080098_2023-09-15_final
2023-09-25 08:18:00	ga_ls8c_ard_3-2-1_079098_2023-09-24_final
2023-10-02 08:24:12	ga_ls8c_ard_3-2-1_080098_2023-10-01_final
2023-10-11 08:18:04	ga_ls8c_ard_3-2-1_079098_2023-10-10_final
2023-10-27 08:18:07	ga_ls8c_ard_3-2-1_079098_2023-10-26_final
2023-11-03 08:24:17	ga_ls8c_ard_3-2-1_080098_2023-11-02_final
2023-11-12 08:18:03	ga_ls8c_ard_3-2-1_079098_2023-11-11_final
2023-11-19 08:24:18	ga_ls8c_ard_3-2-1_080098_2023-11-18_final
2023-11-28 08:18:08	ga_ls8c_ard_3-2-1_079098_2023-11-27_final
2023-12-14 08:18:05	ga_ls8c_ard_3-2-1_079098_2023-12-13_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