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
2023-02-02 10:08:55	ga_ls8c_ard_3-2-1_098081_2023-02-02_final
2023-02-03 09:14:30	ga_ls8c_ard_3-2-1_089084_2023-02-02_final
2023-02-04 11:35:26	ga_ls8c_ard_3-2-1_112081_2023-02-04_final
2023-03-15 10:01:07	ga_ls8c_ard_3-2-1_097078_2023-03-15_final
2023-03-18 10:31:35	ga_ls8c_ard_3-2-1_102077_2023-03-18_final
2023-03-20 10:20:24	ga_ls8c_ard_3-2-1_100080_2023-03-20_final
2023-03-21 11:00:51	ga_ls8c_ard_3-2-1_107073_2023-03-21_final
2023-03-24 09:56:48	ga_ls8c_ard_3-2-1_096083_2023-03-24_final
2023-06-10 10:05:10	ga_ls8c_ard_3-2-1_098074_2023-06-10_final
2023-06-10 11:45:39	ga_ls8c_ard_3-2-1_114078_2023-06-10_final
2023-06-11 10:51:38	ga_ls8c_ard_3-2-1_105082_2023-06-11_final
2023-06-12 09:52:01	ga_ls8c_ard_3-2-1_096072_2023-06-12_final
2023-06-12 09:56:01	ga_ls8c_ard_3-2-1_096082_2023-06-12_final
2023-06-12 11:34:30	ga_ls8c_ard_3-2-1_112081_2023-06-12_final
2023-06-13 10:38:05	ga_ls8c_ard_3-2-1_103079_2023-06-13_final
2023-06-14 11:22:09	ga_ls8c_ard_3-2-1_110081_2023-06-14_final
2023-06-15 10:22:57	ga_ls8c_ard_3-2-1_101072_2023-06-15_final
2023-06-15 10:24:08	ga_ls8c_ard_3-2-1_101075_2023-06-15_final
2023-06-15 10:24:32	ga_ls8c_ard_3-2-1_101076_2023-06-15_final
2023-06-15 10:26:32	ga_ls8c_ard_3-2-1_101081_2023-06-15_final
2023-06-21 09:45:28	ga_ls8c_ard_3-2-1_095071_2023-06-21_final
2023-06-21 09:46:40	ga_ls8c_ard_3-2-1_095074_2023-06-21_final
2023-06-21 09:47:04	ga_ls8c_ard_3-2-1_095075_2023-06-21_final
2023-06-21 09:48:40	ga_ls8c_ard_3-2-1_095079_2023-06-21_final
2023-06-21 09:49:28	ga_ls8c_ard_3-2-1_095081_2023-06-21_final
2023-06-21 09:50:16	ga_ls8c_ard_3-2-1_095083_2023-06-21_final
2023-06-24 10:17:12	ga_ls8c_ard_3-2-1_100073_2023-06-24_final
2023-06-24 10:18:00	ga_ls8c_ard_3-2-1_100075_2023-06-24_final
2023-06-25 09:23:11	ga_ls8c_ard_3-2-1_091077_2023-06-24_final
2023-06-25 09:25:11	ga_ls8c_ard_3-2-1_091082_2023-06-24_final
2023-06-25 11:00:53	ga_ls8c_ard_3-2-1_107074_2023-06-25_final
2023-06-26 10:05:16	ga_ls8c_ard_3-2-1_098074_2023-06-26_final
2023-06-29 10:37:49	ga_ls8c_ard_3-2-1_103078_2023-06-29_final
2023-07-02 09:31:52	ga_ls8c_ard_3-2-1_092083_2023-07-02_final
2023-07-02 11:10:21	ga_ls8c_ard_3-2-1_108082_2023-07-02_final
2023-07-05 11:40:06	ga_ls8c_ard_3-2-1_113079_2023-07-05_final
2023-07-06 10:40:05	ga_ls8c_ard_3-2-1_104068_2023-07-06_final
2023-07-09 11:16:36	ga_ls8c_ard_3-2-1_109082_2023-07-09_final
2023-07-10 10:18:11	ga_ls8c_ard_3-2-1_100075_2023-07-10_final
2023-07-10 10:19:47	ga_ls8c_ard_3-2-1_100079_2023-07-10_final
2023-07-11 09:23:22	ga_ls8c_ard_3-2-1_091077_2023-07-10_final
2023-07-12 11:45:55	ga_ls8c_ard_3-2-1_114078_2023-07-12_final
2023-07-14 09:53:05	ga_ls8c_ard_3-2-1_096074_2023-07-14_final
2023-07-16 11:24:00	ga_ls8c_ard_3-2-1_110085_2023-07-16_final
2023-07-17 10:22:24	ga_ls8c_ard_3-2-1_101070_2023-07-17_final
2023-07-17 10:23:35	ga_ls8c_ard_3-2-1_101073_2023-07-17_final
2023-07-19 10:14:49	ga_ls8c_ard_3-2-1_099082_2023-07-19_final
2023-07-20 10:53:41	ga_ls8c_ard_3-2-1_106071_2023-07-20_final
2023-07-20 10:54:29	ga_ls8c_ard_3-2-1_106073_2023-07-20_final
2023-07-21 10:00:51	ga_ls8c_ard_3-2-1_097078_2023-07-21_final
2023-07-23 09:46:56	ga_ls8c_ard_3-2-1_095074_2023-07-23_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 11:28:37	ga_ls8c_ard_3-2-1_111081_2023-07-23_final
2023-07-25 09:35:24	ga_ls8c_ard_3-2-1_093076_2023-07-25_final
2023-07-25 09:37:48	ga_ls8c_ard_3-2-1_093082_2023-07-25_final
2023-07-26 10:17:29	ga_ls8c_ard_3-2-1_100073_2023-07-26_final
2023-07-27 09:25:52	ga_ls8c_ard_3-2-1_091083_2023-07-26_final
2023-07-28 10:05:09	ga_ls8c_ard_3-2-1_098073_2023-07-28_final
2023-07-28 10:05:33	ga_ls8c_ard_3-2-1_098074_2023-07-28_final
2023-07-28 11:46:02	ga_ls8c_ard_3-2-1_114078_2023-07-28_final
2023-07-29 10:48:25	ga_ls8c_ard_3-2-1_105073_2023-07-29_final
2023-07-31 10:36:05	ga_ls8c_ard_3-2-1_103073_2023-07-31_final
2023-08-01 11:24:08	ga_ls8c_ard_3-2-1_110085_2023-08-01_final
2023-08-02 10:22:56	ga_ls8c_ard_3-2-1_101071_2023-08-02_final
2023-08-02 10:23:44	ga_ls8c_ard_3-2-1_101073_2023-08-02_final
2023-08-03 09:29:43	ga_ls8c_ard_3-2-1_092077_2023-08-02_final
2023-08-06 09:59:01	ga_ls8c_ard_3-2-1_097073_2023-08-06_final
2023-08-06 10:01:01	ga_ls8c_ard_3-2-1_097078_2023-08-06_final
2023-08-06 11:40:42	ga_ls8c_ard_3-2-1_113080_2023-08-06_final
2023-08-08 09:47:04	ga_ls8c_ard_3-2-1_095074_2023-08-08_final
2023-08-08 09:47:28	ga_ls8c_ard_3-2-1_095075_2023-08-08_final
2023-08-10 09:37:53	ga_ls8c_ard_3-2-1_093082_2023-08-10_final
2023-08-10 11:16:46	ga_ls8c_ard_3-2-1_109082_2023-08-10_final
2023-08-11 10:17:33	ga_ls8c_ard_3-2-1_100073_2023-08-11_final
2023-08-12 09:23:09	ga_ls8c_ard_3-2-1_091076_2023-08-11_final
2023-08-12 09:23:33	ga_ls8c_ard_3-2-1_091077_2023-08-11_final
2023-08-12 09:24:21	ga_ls8c_ard_3-2-1_091079_2023-08-11_final
2023-08-12 09:25:09	ga_ls8c_ard_3-2-1_091081_2023-08-11_final
2023-08-13 10:05:38	ga_ls8c_ard_3-2-1_098074_2023-08-13_final
2023-08-13 11:45:19	ga_ls8c_ard_3-2-1_114076_2023-08-13_final
2023-08-16 10:34:58	ga_ls8c_ard_3-2-1_103070_2023-08-16_final
2023-08-16 10:37:46	ga_ls8c_ard_3-2-1_103077_2023-08-16_final
2023-08-18 10:23:02	ga_ls8c_ard_3-2-1_101071_2023-08-18_final
2023-08-22 10:01:08	ga_ls8c_ard_3-2-1_097078_2023-08-22_final
2023-08-22 11:40:49	ga_ls8c_ard_3-2-1_113080_2023-08-22_final
2023-08-24 09:47:12	ga_ls8c_ard_3-2-1_095074_2023-08-24_final
2023-08-24 09:47:36	ga_ls8c_ard_3-2-1_095075_2023-08-24_final
2023-08-26 11:12:32	ga_ls8c_ard_3-2-1_109071_2023-08-26_final
2023-08-26 11:16:55	ga_ls8c_ard_3-2-1_109082_2023-08-26_final
2023-08-27 10:21:18	ga_ls8c_ard_3-2-1_100082_2023-08-27_final
2023-08-29 10:05:45	ga_ls8c_ard_3-2-1_098074_2023-08-29_final
2023-08-29 11:44:38	ga_ls8c_ard_3-2-1_114074_2023-08-29_final
2023-08-30 09:14:07	ga_ls8c_ard_3-2-1_089084_2023-08-29_final
2023-08-31 09:53:23	ga_ls8c_ard_3-2-1_096074_2023-08-31_final
2023-09-04 09:29:26	ga_ls8c_ard_3-2-1_092076_2023-09-03_final
2023-09-06 09:20:15	ga_ls8c_ard_3-2-1_090084_2023-09-05_final
2023-09-07 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-09-07_final
2023-09-09 11:29:16	ga_ls8c_ard_3-2-1_111082_2023-09-09_final
2023-09-11 09:38:27	ga_ls8c_ard_3-2-1_093083_2023-09-11_final
2023-09-11 11:17:44	ga_ls8c_ard_3-2-1_109084_2023-09-11_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