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
2018-11-13 09:07:28	ga_ls8c_ard_3-0-0_088083_2018-11-12_final
2018-12-15 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-14_final
2018-12-31 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-30_final
2019-02-01 09:07:18	ga_ls8c_ard_3-0-0_088083_2019-01-31_final
2019-03-05 09:07:12	ga_ls8c_ard_3-0-0_088083_2019-03-04_final
2019-03-21 09:07:07	ga_ls8c_ard_3-1-0_088083_2019-03-20_final
2019-05-08 09:07:01	ga_ls8c_ard_3-0-0_088083_2019-05-07_final
2019-05-24 09:07:11	ga_ls8c_ard_3-0-0_088083_2019-05-23_final
2019-06-09 09:07:19	ga_ls8c_ard_3-0-0_088083_2019-06-08_final
2019-06-25 09:07:25	ga_ls8c_ard_3-1-0_088083_2019-06-24_final
2019-07-11 09:07:28	ga_ls8c_ard_3-1-0_088083_2019-07-10_final
2019-09-13 09:07:48	ga_ls8c_ard_3-1-0_088083_2019-09-12_final
2019-09-29 09:07:53	ga_ls8c_ard_3-1-0_088083_2019-09-28_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-10-31 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-30_final
2019-11-16 09:07:53	ga_ls8c_ard_3-1-0_088083_2019-11-15_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2019-12-17_final
2020-02-20 09:07:33	ga_ls8c_ard_3-1-0_088083_2020-02-19_final
2020-03-07 09:07:27	ga_ls8c_ard_3-1-0_088083_2020-03-06_final
2020-04-08 09:07:11	ga_ls8c_ard_3-1-0_088083_2020-04-07_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_final
2020-06-11 09:07:08	ga_ls8c_ard_3-1-0_088083_2020-06-10_final
2020-06-27 09:07:17	ga_ls8c_ard_3-1-0_088083_2020-06-26_final
2020-07-13 09:07:23	ga_ls8c_ard_3-1-0_088083_2020-07-12_final
2020-08-14 09:07:32	ga_ls8c_ard_3-1-0_088083_2020-08-13_final
2020-08-30 09:07:40	ga_ls8c_ard_3-1-0_088083_2020-08-29_final
2020-09-15 09:07:47	ga_ls8c_ard_3-1-0_088083_2020-09-14_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-11-18 09:07:50	ga_ls8c_ard_3-1-0_088083_2020-11-17_final
2020-12-04 09:07:53	ga_ls8c_ard_3-1-0_088083_2020-12-03_final
2020-12-20 09:07:52	ga_ls8c_ard_3-2-0_088083_2020-12-19_final
2021-01-21 09:07:40	ga_ls8c_ard_3-2-0_088083_2021-01-20_final
2021-02-06 09:07:39	ga_ls8c_ard_3-2-0_088083_2021-02-05_final
2021-02-22 09:07:34	ga_ls8c_ard_3-2-0_088083_2021-02-21_final
2021-03-10 09:07:26	ga_ls8c_ard_3-2-0_088083_2021-03-09_final
2021-03-26 09:07:20	ga_ls8c_ard_3-2-0_088083_2021-03-25_final
2021-04-11 09:07:15	ga_ls8c_ard_3-2-0_088083_2021-04-10_final
2021-04-27 09:07:07	ga_ls8c_ard_3-2-0_088083_2021-04-26_final
2021-05-13 09:07:05	ga_ls8c_ard_3-2-0_088083_2021-05-12_final
2021-05-29 09:07:15	ga_ls8c_ard_3-2-0_088083_2021-05-28_final
2021-06-14 09:07:22	ga_ls8c_ard_3-2-0_088083_2021-06-13_final
2021-06-30 09:07:25	ga_ls8c_ard_3-2-0_088083_2021-06-29_final
2021-07-16 09:07:27	ga_ls8c_ard_3-2-0_088083_2021-07-15_final
2021-08-01 09:07:35	ga_ls8c_ard_3-2-0_088083_2021-07-31_final
2021-08-17 09:07:41	ga_ls8c_ard_3-2-0_088083_2021-08-16_final
2021-09-02 09:07:46	ga_ls8c_ard_3-2-0_088083_2021-09-01_final
2021-09-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2021-09-17_final
2021-10-04 09:07:54	ga_ls8c_ard_3-2-0_088083_2021-10-03_final
2021-10-20 09:07:58	ga_ls8c_ard_3-2-0_088083_2021-10-19_final
2021-11-05 09:07:57	ga_ls8c_ard_3-2-0_088083_2021-11-04_final
2021-11-21 09:07:52	ga_ls8c_ard_3-2-0_088083_2021-11-20_final
2021-12-07 09:07:54	ga_ls8c_ard_3-2-1_088083_2021-12-06_final
2021-12-23 09:07:50	ga_ls8c_ard_3-2-1_088083_2021-12-22_final
2022-01-24 09:07:42	ga_ls8c_ard_3-2-1_088083_2022-01-23_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-02-25 09:07:33	ga_ls8c_ard_3-2-1_088083_2022-02-24_final
2022-03-13 09:07:29	ga_ls8c_ard_3-2-1_088083_2022-03-12_final
2022-03-29 09:07:17	ga_ls8c_ard_3-2-1_088083_2022-03-28_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-04-30 09:07:18	ga_ls8c_ard_3-2-1_088083_2022-04-29_final
2022-05-16 09:07:28	ga_ls8c_ard_3-2-1_088083_2022-05-15_final
2022-06-01 09:07:31	ga_ls8c_ard_3-2-1_088083_2022-05-31_final
2022-06-17 09:07:43	ga_ls8c_ard_3-2-1_088083_2022-06-16_final
2022-07-03 09:07:47	ga_ls8c_ard_3-2-1_088083_2022-07-02_final
2022-07-19 09:07:48	ga_ls8c_ard_3-2-1_088083_2022-07-18_final
2022-08-04 09:07:59	ga_ls8c_ard_3-2-1_088083_2022-08-03_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-09-05 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-09-04_final
2022-09-21 09:08:11	ga_ls8c_ard_3-2-1_088083_2022-09-20_final
2022-10-07 09:08:07	ga_ls8c_ard_3-2-1_088083_2022-10-06_final
2022-10-23 09:08:08	ga_ls8c_ard_3-2-1_088083_2022-10-22_final
2022-11-08 09:08:09	ga_ls8c_ard_3-2-1_088083_2022-11-07_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2022-12-10 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-12-09_final
2022-12-26 09:07:56	ga_ls8c_ard_3-2-1_088083_2022-12-25_final
2023-01-27 09:08:14	ga_ls8c_ard_3-2-1_088083_2023-01-26_nrt
2023-02-12 09:07:50	ga_ls8c_ard_3-2-1_088083_2023-02-11_final
2023-02-28 09:07:35	ga_ls8c_ard_3-2-1_088083_2023-02-27_final
2023-03-16 09:07:29	ga_ls8c_ard_3-2-1_088083_2023-03-15_final
2023-04-01 09:07:18	ga_ls8c_ard_3-2-1_088083_2023-03-31_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-05-03 09:06:59	ga_ls8c_ard_3-2-1_088083_2023-05-02_final
2023-05-19 09:06:48	ga_ls8c_ard_3-2-1_088083_2023-05-18_final
2023-06-04 09:06:52	ga_ls8c_ard_3-2-1_088083_2023-06-03_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-07-06 09:07:12	ga_ls8c_ard_3-2-1_088083_2023-07-05_final
2023-07-22 09:07:15	ga_ls8c_ard_3-2-1_088083_2023-07-21_final
2023-08-07 09:07:23	ga_ls8c_ard_3-2-1_088083_2023-08-06_final
2023-08-23 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-08-22_final
2023-09-08 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-09-07_final
2023-09-24 09:07:37	ga_ls8c_ard_3-2-1_088083_2023-09-23_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-26 09:07:44	ga_ls8c_ard_3-2-1_088083_2023-10-25_final
2023-11-11 09:07:40	ga_ls8c_ard_3-2-1_088083_2023-11-10_final
2023-11-27 09:07:46	ga_ls8c_ard_3-2-1_088083_2023-11-26_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-29 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-28_final
2024-01-30 09:07:34	ga_ls8c_ard_3-2-1_088083_2024-01-29_final
2024-02-15 09:07:36	ga_ls8c_ard_3-2-1_088083_2024-02-14_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