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
2021-01-28 09:13:51	ga_ls8c_ard_3-2-0_089083_2021-01-27_final
2021-01-28 09:14:15	ga_ls8c_ard_3-2-0_089084_2021-01-27_final
2021-01-28 09:14:39	ga_ls8c_ard_3-2-0_089085_2021-01-27_final
2021-01-28 09:15:03	ga_ls8c_ard_3-2-0_089086_2021-01-27_final
2021-01-28 09:15:27	ga_ls8c_ard_3-2-0_089087_2021-01-27_final
2021-01-28 09:15:51	ga_ls8c_ard_3-2-0_089088_2021-01-27_final
2021-01-28 09:16:15	ga_ls8c_ard_3-2-0_089089_2021-01-27_final
2021-03-31 09:22:40	ga_ls8c_ard_3-2-0_091075_2021-03-30_final
2021-03-31 09:23:03	ga_ls8c_ard_3-2-0_091076_2021-03-30_final
2021-03-31 09:23:27	ga_ls8c_ard_3-2-0_091077_2021-03-30_final
2021-03-31 09:23:51	ga_ls8c_ard_3-2-0_091078_2021-03-30_final
2021-03-31 09:24:15	ga_ls8c_ard_3-2-0_091079_2021-03-30_final
2021-03-31 09:24:39	ga_ls8c_ard_3-2-0_091080_2021-03-30_final
2021-03-31 09:25:03	ga_ls8c_ard_3-2-0_091081_2021-03-30_final
2021-04-02 09:13:29	ga_ls8c_ard_3-2-0_089083_2021-04-01_final
2021-04-02 09:13:53	ga_ls8c_ard_3-2-0_089084_2021-04-01_final
2021-04-02 09:14:17	ga_ls8c_ard_3-2-0_089085_2021-04-01_final
2021-04-02 09:14:41	ga_ls8c_ard_3-2-0_089086_2021-04-01_final
2021-04-02 09:15:05	ga_ls8c_ard_3-2-0_089087_2021-04-01_final
2021-04-02 09:15:29	ga_ls8c_ard_3-2-0_089088_2021-04-01_final
2021-04-02 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-04-01_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-04-16 09:22:58	ga_ls8c_ard_3-2-0_091076_2021-04-15_final
2021-04-16 09:23:22	ga_ls8c_ard_3-2-0_091077_2021-04-15_final
2021-04-16 09:23:46	ga_ls8c_ard_3-2-0_091078_2021-04-15_final
2021-04-16 09:24:10	ga_ls8c_ard_3-2-0_091079_2021-04-15_final
2021-04-16 09:24:34	ga_ls8c_ard_3-2-0_091080_2021-04-15_final
2021-04-16 09:24:57	ga_ls8c_ard_3-2-0_091081_2021-04-15_final
2021-04-18 09:13:23	ga_ls8c_ard_3-2-0_089083_2021-04-17_final
2021-04-18 09:13:47	ga_ls8c_ard_3-2-0_089084_2021-04-17_final
2021-04-18 09:14:11	ga_ls8c_ard_3-2-0_089085_2021-04-17_final
2021-04-18 09:14:35	ga_ls8c_ard_3-2-0_089086_2021-04-17_final
2021-04-18 09:14:59	ga_ls8c_ard_3-2-0_089087_2021-04-17_final
2021-04-18 09:15:23	ga_ls8c_ard_3-2-0_089088_2021-04-17_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-23 09:27:05	ga_ls8c_ard_3-2-0_092071_2021-04-22_final
2021-04-23 09:27:29	ga_ls8c_ard_3-2-0_092072_2021-04-22_final
2021-04-23 09:27:53	ga_ls8c_ard_3-2-0_092073_2021-04-22_final
2021-04-23 09:28:17	ga_ls8c_ard_3-2-0_092074_2021-04-22_final
2021-04-23 09:28:41	ga_ls8c_ard_3-2-0_092075_2021-04-22_final
2021-04-23 09:29:05	ga_ls8c_ard_3-2-0_092076_2021-04-22_final
2022-02-16 09:13:47	ga_ls8c_ard_3-2-1_089083_2022-02-15_final
2022-02-16 09:14:11	ga_ls8c_ard_3-2-1_089084_2022-02-15_final
2022-02-16 09:14:35	ga_ls8c_ard_3-2-1_089085_2022-02-15_final
2022-02-16 09:14:59	ga_ls8c_ard_3-2-1_089086_2022-02-15_final
2022-02-16 09:15:46	ga_ls8c_ard_3-2-1_089088_2022-02-15_final
2022-02-16 09:16:10	ga_ls8c_ard_3-2-1_089089_2022-02-15_final
2022-05-28 09:27:23	ga_ls8c_ard_3-2-1_092071_2022-05-27_final
2022-05-28 09:27:47	ga_ls8c_ard_3-2-1_092072_2022-05-27_final
2022-05-28 09:28:11	ga_ls8c_ard_3-2-1_092073_2022-05-27_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-05-28 09:28:59	ga_ls8c_ard_3-2-1_092075_2022-05-27_final
2022-05-28 09:29:23	ga_ls8c_ard_3-2-1_092076_2022-05-27_final
2022-05-30 09:18:15	ga_ls8c_ard_3-2-1_090079_2022-05-29_final
2022-05-30 09:18:39	ga_ls8c_ard_3-2-1_090080_2022-05-29_final
2022-05-30 09:19:03	ga_ls8c_ard_3-2-1_090081_2022-05-29_final
2022-05-30 09:19:27	ga_ls8c_ard_3-2-1_090082_2022-05-29_final
2022-05-30 09:19:51	ga_ls8c_ard_3-2-1_090083_2022-05-29_final
2022-05-30 09:20:15	ga_ls8c_ard_3-2-1_090084_2022-05-29_final
2022-05-30 09:20:39	ga_ls8c_ard_3-2-1_090085_2022-05-29_final
2022-06-13 09:27:37	ga_ls8c_ard_3-2-1_092071_2022-06-12_final
2022-06-13 09:28:01	ga_ls8c_ard_3-2-1_092072_2022-06-12_final
2022-06-13 09:28:25	ga_ls8c_ard_3-2-1_092073_2022-06-12_final
2022-06-13 09:28:49	ga_ls8c_ard_3-2-1_092074_2022-06-12_final
2022-06-13 09:29:13	ga_ls8c_ard_3-2-1_092075_2022-06-12_final
2022-06-13 09:29:37	ga_ls8c_ard_3-2-1_092076_2022-06-12_final
2022-06-20 09:33:51	ga_ls8c_ard_3-2-1_093071_2022-06-20_final
2022-06-22 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-06-21_final
2022-06-22 09:23:30	ga_ls8c_ard_3-2-1_091076_2022-06-21_final
2022-06-22 09:23:54	ga_ls8c_ard_3-2-1_091077_2022-06-21_final
2022-06-22 09:24:18	ga_ls8c_ard_3-2-1_091078_2022-06-21_final
2022-06-22 09:24:42	ga_ls8c_ard_3-2-1_091079_2022-06-21_final
2022-06-22 09:25:06	ga_ls8c_ard_3-2-1_091080_2022-06-21_final
2022-06-22 09:25:30	ga_ls8c_ard_3-2-1_091081_2022-06-21_final
2022-07-22 09:33:57	ga_ls8c_ard_3-2-1_093071_2022-07-22_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-07-24 09:23:37	ga_ls8c_ard_3-2-1_091076_2022-07-23_final
2022-07-24 09:24:01	ga_ls8c_ard_3-2-1_091077_2022-07-23_final
2022-07-24 09:24:25	ga_ls8c_ard_3-2-1_091078_2022-07-23_final
2022-07-24 09:24:49	ga_ls8c_ard_3-2-1_091079_2022-07-23_final
2022-07-24 09:25:13	ga_ls8c_ard_3-2-1_091080_2022-07-23_final
2022-07-24 09:25:37	ga_ls8c_ard_3-2-1_091081_2022-07-23_final
2022-07-26 09:14:04	ga_ls8c_ard_3-2-1_089083_2022-07-25_final
2022-07-26 09:14:28	ga_ls8c_ard_3-2-1_089084_2022-07-25_final
2022-07-26 09:14:52	ga_ls8c_ard_3-2-1_089085_2022-07-25_final
2022-07-26 09:15:16	ga_ls8c_ard_3-2-1_089086_2022-07-25_final
2022-12-13 09:34:09	ga_ls8c_ard_3-2-1_093071_2022-12-13_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-15 09:23:46	ga_ls8c_ard_3-2-1_091076_2022-12-14_final
2022-12-15 09:24:10	ga_ls8c_ard_3-2-1_091077_2022-12-14_final
2022-12-15 09:24:34	ga_ls8c_ard_3-2-1_091078_2022-12-14_final
2022-12-15 09:24:58	ga_ls8c_ard_3-2-1_091079_2022-12-14_final
2022-12-15 09:25:22	ga_ls8c_ard_3-2-1_091080_2022-12-14_final
2022-12-15 09:25:46	ga_ls8c_ard_3-2-1_091081_2022-12-14_final
2022-12-29 09:34:03	ga_ls8c_ard_3-2-1_093071_2022-12-29_final
2022-12-29 09:34:27	ga_ls8c_ard_3-2-1_093072_2022-12-29_final
2023-01-02 09:14:08	ga_ls8c_ard_3-2-1_089083_2023-01-01_final
2023-01-02 09:14:32	ga_ls8c_ard_3-2-1_089084_2023-01-01_final
2023-01-02 09:14:56	ga_ls8c_ard_3-2-1_089085_2023-01-01_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