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
2023-08-28 09:23:41	ga_ls8c_ard_3-2-1_091077_2023-08-27_final
2023-08-28 09:24:29	ga_ls8c_ard_3-2-1_091079_2023-08-27_final
2023-08-28 11:01:22	ga_ls8c_ard_3-2-1_107074_2023-08-28_final
2023-08-29 10:05:21	ga_ls8c_ard_3-2-1_098073_2023-08-29_final
2023-08-29 11:47:01	ga_ls8c_ard_3-2-1_114080_2023-08-29_final
2023-08-31 09:53:23	ga_ls8c_ard_3-2-1_096074_2023-08-31_final
2023-08-31 11:35:51	ga_ls8c_ard_3-2-1_112083_2023-08-31_final
2023-09-02 11:20:18	ga_ls8c_ard_3-2-1_110075_2023-09-02_final
2023-09-06 10:54:45	ga_ls8c_ard_3-2-1_106073_2023-09-06_final
2023-09-07 09:58:44	ga_ls8c_ard_3-2-1_097072_2023-09-07_final
2023-09-07 11:39:36	ga_ls8c_ard_3-2-1_113077_2023-09-07_final
2023-09-07 11:40:48	ga_ls8c_ard_3-2-1_113080_2023-09-07_final
2023-09-07 11:41:36	ga_ls8c_ard_3-2-1_113082_2023-09-07_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-09-09 09:47:12	ga_ls8c_ard_3-2-1_095074_2023-09-09_final
2023-09-09 11:29:16	ga_ls8c_ard_3-2-1_111082_2023-09-09_final
2023-09-12 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-09-12_final
2023-09-13 09:26:07	ga_ls8c_ard_3-2-1_091083_2023-09-12_final
2023-09-14 10:06:35	ga_ls8c_ard_3-2-1_098076_2023-09-14_final
2023-09-14 11:45:28	ga_ls8c_ard_3-2-1_114076_2023-09-14_final
2023-09-15 10:47:28	ga_ls8c_ard_3-2-1_105070_2023-09-15_final
2023-09-18 09:45:53	ga_ls8c_ard_3-2-1_094086_2023-09-18_final
2023-09-20 09:29:32	ga_ls8c_ard_3-2-1_092076_2023-09-19_final
2023-09-22 09:19:34	ga_ls8c_ard_3-2-1_090082_2023-09-21_final
2023-09-23 09:58:50	ga_ls8c_ard_3-2-1_097072_2023-09-23_final
2023-09-25 09:46:54	ga_ls8c_ard_3-2-1_095073_2023-09-25_final
2023-09-25 09:47:42	ga_ls8c_ard_3-2-1_095075_2023-09-25_final
2023-09-25 09:51:41	ga_ls8c_ard_3-2-1_095085_2023-09-25_final
2023-09-26 10:32:34	ga_ls8c_ard_3-2-1_102079_2023-09-26_final
2023-09-27 11:14:38	ga_ls8c_ard_3-2-1_109076_2023-09-27_final
2023-09-29 11:02:17	ga_ls8c_ard_3-2-1_107076_2023-09-29_final
2023-09-29 11:03:29	ga_ls8c_ard_3-2-1_107079_2023-09-29_final
2023-10-02 09:53:30	ga_ls8c_ard_3-2-1_096074_2023-10-02_final
2023-10-02 09:58:18	ga_ls8c_ard_3-2-1_096086_2023-10-02_final
2023-10-02 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-10-02_final
2023-10-03 10:37:58	ga_ls8c_ard_3-2-1_103077_2023-10-03_final
2023-10-07 10:16:02	ga_ls8c_ard_3-2-1_099084_2023-10-07_final
2023-10-09 11:40:59	ga_ls8c_ard_3-2-1_113080_2023-10-09_final
2023-10-09 11:41:23	ga_ls8c_ard_3-2-1_113081_2023-10-09_final
2023-10-13 09:39:00	ga_ls8c_ard_3-2-1_093084_2023-10-13_final
2023-10-13 11:17:05	ga_ls8c_ard_3-2-1_109082_2023-10-13_final
2023-10-14 10:18:16	ga_ls8c_ard_3-2-1_100074_2023-10-14_final
2023-10-14 11:58:45	ga_ls8c_ard_3-2-1_116078_2023-10-14_final
2023-10-15 09:25:26	ga_ls8c_ard_3-2-1_091081_2023-10-14_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-16 10:05:30	ga_ls8c_ard_3-2-1_098073_2023-10-16_final
2023-10-19 10:39:11	ga_ls8c_ard_3-2-1_103080_2023-10-19_final
2023-10-20 11:24:02	ga_ls8c_ard_3-2-1_110084_2023-10-20_final
2023-10-22 11:08:30	ga_ls8c_ard_3-2-1_108076_2023-10-22_final
2023-10-22 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-10-22_final
2023-10-23 10:16:29	ga_ls8c_ard_3-2-1_099085_2023-10-23_final
2023-10-25 10:04:09	ga_ls8c_ard_3-2-1_097085_2023-10-25_final
2023-10-27 09:47:48	ga_ls8c_ard_3-2-1_095075_2023-10-27_final
2023-10-27 09:51:48	ga_ls8c_ard_3-2-1_095085_2023-10-27_final
2023-10-27 11:26:42	ga_ls8c_ard_3-2-1_111075_2023-10-27_final
2023-10-27 11:29:29	ga_ls8c_ard_3-2-1_111082_2023-10-27_final
2023-10-28 10:28:17	ga_ls8c_ard_3-2-1_102068_2023-10-28_final
2023-10-29 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-10-29_final
2023-10-29 11:11:57	ga_ls8c_ard_3-2-1_109069_2023-10-29_final
2023-11-01 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-01_final
2023-11-01 11:45:15	ga_ls8c_ard_3-2-1_114075_2023-11-01_final
2023-11-02 10:48:25	ga_ls8c_ard_3-2-1_105072_2023-11-02_final
2023-11-03 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-11-03_final
2023-11-03 09:53:11	ga_ls8c_ard_3-2-1_096073_2023-11-03_final
2023-11-04 10:35:15	ga_ls8c_ard_3-2-1_103070_2023-11-04_final
2023-11-04 10:35:39	ga_ls8c_ard_3-2-1_103071_2023-11-04_final
2023-11-05 09:44:25	ga_ls8c_ard_3-2-1_094082_2023-11-05_final
2023-11-05 11:22:30	ga_ls8c_ard_3-2-1_110080_2023-11-05_final
2023-11-06 10:24:52	ga_ls8c_ard_3-2-1_101075_2023-11-06_final
2023-11-06 10:25:16	ga_ls8c_ard_3-2-1_101076_2023-11-06_final
2023-11-06 10:26:04	ga_ls8c_ard_3-2-1_101078_2023-11-06_final
2023-11-07 11:08:31	ga_ls8c_ard_3-2-1_108076_2023-11-07_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-08 10:15:16	ga_ls8c_ard_3-2-1_099082_2023-11-08_final
2023-11-09 09:20:25	ga_ls8c_ard_3-2-1_090084_2023-11-08_final
2023-11-09 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-11-09_final
2023-11-10 11:40:58	ga_ls8c_ard_3-2-1_113080_2023-11-10_final
2023-11-10 11:41:46	ga_ls8c_ard_3-2-1_113082_2023-11-10_final
2023-11-11 10:44:09	ga_ls8c_ard_3-2-1_104077_2023-11-11_final
2023-11-11 10:44:33	ga_ls8c_ard_3-2-1_104078_2023-11-11_final
2023-11-12 09:47:45	ga_ls8c_ard_3-2-1_095075_2023-11-12_final
2023-11-12 11:25:02	ga_ls8c_ard_3-2-1_111071_2023-11-12_final
2023-11-12 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-11-12_final
2023-11-13 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-11-13_final
2023-11-14 09:35:01	ga_ls8c_ard_3-2-1_093074_2023-11-14_final
2023-11-14 11:13:06	ga_ls8c_ard_3-2-1_109072_2023-11-14_final
2023-11-16 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-11-15_final
2023-11-17 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-17_final
2023-11-17 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-11-17_final
2023-11-17 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-11-17_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-19 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-11-19_final
2023-11-19 09:57:36	ga_ls8c_ard_3-2-1_096084_2023-11-19_final
2023-11-19 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-11-19_final
2023-11-20 10:35:17	ga_ls8c_ard_3-2-1_103070_2023-11-20_final
2023-11-21 09:45:39	ga_ls8c_ard_3-2-1_094085_2023-11-21_final
2023-11-21 11:24:08	ga_ls8c_ard_3-2-1_110084_2023-11-21_final
2023-11-23 09:33:18	ga_ls8c_ard_3-2-1_092085_2023-11-23_final
2023-11-23 11:05:48	ga_ls8c_ard_3-2-1_108069_2023-11-23_final
2023-11-23 11:09:47	ga_ls8c_ard_3-2-1_108079_2023-11-23_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