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
2021-04-07 09:27:36	ga_ls8c_ard_3-2-0_092072_2021-04-06_final
2021-04-07 09:28:00	ga_ls8c_ard_3-2-0_092073_2021-04-06_final
2021-04-07 09:28:24	ga_ls8c_ard_3-2-0_092074_2021-04-06_final
2021-04-07 09:28:48	ga_ls8c_ard_3-2-0_092075_2021-04-06_final
2021-04-07 09:29:12	ga_ls8c_ard_3-2-0_092076_2021-04-06_final
2021-04-07 09:29:36	ga_ls8c_ard_3-2-0_092077_2021-04-06_final
2021-04-07 09:30:00	ga_ls8c_ard_3-2-0_092078_2021-04-07_final
2021-04-09 09:18:50	ga_ls8c_ard_3-2-0_090081_2021-04-08_final
2021-04-09 09:19:13	ga_ls8c_ard_3-2-0_090082_2021-04-08_final
2021-04-09 09:19:37	ga_ls8c_ard_3-2-0_090083_2021-04-08_final
2021-04-09 09:20:01	ga_ls8c_ard_3-2-0_090084_2021-04-08_final
2021-04-09 09:20:25	ga_ls8c_ard_3-2-0_090085_2021-04-08_final
2021-04-09 09:20:49	ga_ls8c_ard_3-2-0_090086_2021-04-08_final
2021-04-14 09:31:45	ga_ls8c_ard_3-2-0_093067_2021-04-14_final
2021-04-14 09:32:09	ga_ls8c_ard_3-2-0_093068_2021-04-14_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-04-14 09:34:08	ga_ls8c_ard_3-2-0_093073_2021-04-14_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_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
2021-04-23 09:29:29	ga_ls8c_ard_3-2-0_092077_2021-04-22_final
2021-04-23 09:29:53	ga_ls8c_ard_3-2-0_092078_2021-04-22_final
2021-05-11 09:18:38	ga_ls8c_ard_3-2-0_090081_2021-05-10_final
2021-05-11 09:19:02	ga_ls8c_ard_3-2-0_090082_2021-05-10_final
2021-05-11 09:19:26	ga_ls8c_ard_3-2-0_090083_2021-05-10_final
2021-05-11 09:19:50	ga_ls8c_ard_3-2-0_090084_2021-05-10_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-05-11 09:20:38	ga_ls8c_ard_3-2-0_090086_2021-05-10_final
2021-05-25 09:27:33	ga_ls8c_ard_3-2-0_092072_2021-05-24_final
2021-05-25 09:27:57	ga_ls8c_ard_3-2-0_092073_2021-05-24_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-05-25 09:28:45	ga_ls8c_ard_3-2-0_092075_2021-05-24_final
2021-05-25 09:29:09	ga_ls8c_ard_3-2-0_092076_2021-05-24_final
2021-05-25 09:29:32	ga_ls8c_ard_3-2-0_092077_2021-05-24_final
2021-05-25 09:29:56	ga_ls8c_ard_3-2-0_092078_2021-05-24_final
2021-05-27 09:18:48	ga_ls8c_ard_3-2-0_090081_2021-05-26_final
2021-05-27 09:19:12	ga_ls8c_ard_3-2-0_090082_2021-05-26_final
2021-05-27 09:19:36	ga_ls8c_ard_3-2-0_090083_2021-05-26_final
2021-05-27 09:20:00	ga_ls8c_ard_3-2-0_090084_2021-05-26_final
2021-05-27 09:20:24	ga_ls8c_ard_3-2-0_090085_2021-05-26_final
2021-05-27 09:20:48	ga_ls8c_ard_3-2-0_090086_2021-05-26_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-08 09:32:51	ga_ls8c_ard_3-2-0_093068_2021-11-08_final
2021-11-08 09:34:02	ga_ls8c_ard_3-2-0_093071_2021-11-08_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2021-11-08 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-11-08_final
2021-11-10 09:24:04	ga_ls8c_ard_3-2-0_091077_2021-11-09_final
2021-11-10 09:24:28	ga_ls8c_ard_3-2-0_091078_2021-11-09_final
2021-11-10 09:24:52	ga_ls8c_ard_3-2-0_091079_2021-11-09_final
2021-11-10 09:25:16	ga_ls8c_ard_3-2-0_091080_2021-11-09_final
2021-11-10 09:25:40	ga_ls8c_ard_3-2-0_091081_2021-11-09_final
2021-11-10 09:26:03	ga_ls8c_ard_3-2-0_091082_2021-11-09_final
2022-01-06 09:19:20	ga_ls8c_ard_3-2-1_090081_2022-01-05_final
2022-01-06 09:19:44	ga_ls8c_ard_3-2-1_090082_2022-01-05_final
2022-01-06 09:20:08	ga_ls8c_ard_3-2-1_090083_2022-01-05_final
2022-01-06 09:20:32	ga_ls8c_ard_3-2-1_090084_2022-01-05_final
2022-01-06 09:20:56	ga_ls8c_ard_3-2-1_090085_2022-01-05_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-01-20 09:28:03	ga_ls8c_ard_3-2-1_092072_2022-01-19_final
2022-01-20 09:28:27	ga_ls8c_ard_3-2-1_092073_2022-01-19_final
2022-01-20 09:28:51	ga_ls8c_ard_3-2-1_092074_2022-01-19_final
2022-01-20 09:29:15	ga_ls8c_ard_3-2-1_092075_2022-01-19_final
2022-01-20 09:29:39	ga_ls8c_ard_3-2-1_092076_2022-01-19_final
2022-01-20 09:30:03	ga_ls8c_ard_3-2-1_092077_2022-01-20_final
2022-01-20 09:30:27	ga_ls8c_ard_3-2-1_092078_2022-01-20_final
2022-01-22 09:19:17	ga_ls8c_ard_3-2-1_090081_2022-01-21_final
2022-01-22 09:19:40	ga_ls8c_ard_3-2-1_090082_2022-01-21_final
2022-01-22 09:20:04	ga_ls8c_ard_3-2-1_090083_2022-01-21_final
2022-01-22 09:20:28	ga_ls8c_ard_3-2-1_090084_2022-01-21_final
2022-01-22 09:20:52	ga_ls8c_ard_3-2-1_090085_2022-01-21_final
2022-01-22 09:21:16	ga_ls8c_ard_3-2-1_090086_2022-01-21_final
2022-06-24 09:14:20	ga_ls8c_ard_3-2-1_089084_2022-06-23_final
2022-06-24 09:14:44	ga_ls8c_ard_3-2-1_089085_2022-06-23_final
2022-06-24 09:15:08	ga_ls8c_ard_3-2-1_089086_2022-06-23_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-06-24 09:16:20	ga_ls8c_ard_3-2-1_089089_2022-06-23_final
2022-06-24 09:16:44	ga_ls8c_ard_3-2-1_089090_2022-06-23_final
2022-06-29 09:28:06	ga_ls8c_ard_3-2-1_092072_2022-06-28_final
2022-06-29 09:28:30	ga_ls8c_ard_3-2-1_092073_2022-06-28_final
2022-06-29 09:28:54	ga_ls8c_ard_3-2-1_092074_2022-06-28_final
2022-06-29 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-06-28_final
2022-06-29 09:29:42	ga_ls8c_ard_3-2-1_092076_2022-06-28_final
2022-06-29 09:30:06	ga_ls8c_ard_3-2-1_092077_2022-06-29_final
2022-06-29 09:30:30	ga_ls8c_ard_3-2-1_092078_2022-06-29_final
2022-07-10 09:14:21	ga_ls8c_ard_3-2-1_089084_2022-07-09_final
2022-07-10 09:14:45	ga_ls8c_ard_3-2-1_089085_2022-07-09_final
2022-07-10 09:15:09	ga_ls8c_ard_3-2-1_089086_2022-07-09_final
2022-07-10 09:15:57	ga_ls8c_ard_3-2-1_089088_2022-07-09_final
2022-07-10 09:16:21	ga_ls8c_ard_3-2-1_089089_2022-07-09_final
2022-07-10 09:16:45	ga_ls8c_ard_3-2-1_089090_2022-07-09_final
2022-07-15 09:28:05	ga_ls8c_ard_3-2-1_092072_2022-07-14_final
2022-07-15 09:28:29	ga_ls8c_ard_3-2-1_092073_2022-07-14_final
2022-07-15 09:28:53	ga_ls8c_ard_3-2-1_092074_2022-07-14_final
2022-07-15 09:29:16	ga_ls8c_ard_3-2-1_092075_2022-07-14_final
2022-07-15 09:29:40	ga_ls8c_ard_3-2-1_092076_2022-07-14_final
2022-07-15 09:30:04	ga_ls8c_ard_3-2-1_092077_2022-07-15_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