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
2021-12-13 10:03:18	ga_ls8c_ard_3-2-1_098067_2021-12-13_final
2021-12-13 10:06:53	ga_ls8c_ard_3-2-1_098076_2021-12-13_final
2021-12-13 10:07:17	ga_ls8c_ard_3-2-1_098077_2021-12-13_final
2021-12-13 10:08:53	ga_ls8c_ard_3-2-1_098081_2021-12-13_final
2021-12-13 10:09:17	ga_ls8c_ard_3-2-1_098082_2021-12-13_final
2021-12-13 10:09:41	ga_ls8c_ard_3-2-1_098083_2021-12-13_final
2021-12-13 10:10:05	ga_ls8c_ard_3-2-1_098084_2021-12-13_final
2021-12-14 09:11:40	ga_ls8c_ard_3-2-1_089077_2021-12-13_final
2021-12-14 09:13:40	ga_ls8c_ard_3-2-1_089082_2021-12-13_final
2021-12-14 09:14:04	ga_ls8c_ard_3-2-1_089083_2021-12-13_final
2021-12-14 09:14:28	ga_ls8c_ard_3-2-1_089084_2021-12-13_final
2021-12-14 09:14:51	ga_ls8c_ard_3-2-1_089085_2021-12-13_final
2021-12-14 09:15:15	ga_ls8c_ard_3-2-1_089086_2021-12-13_final
2021-12-14 09:16:51	ga_ls8c_ard_3-2-1_089090_2021-12-13_final
2021-12-14 10:46:33	ga_ls8c_ard_3-2-1_105067_2021-12-14_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2021-12-14 10:47:45	ga_ls8c_ard_3-2-1_105070_2021-12-14_final
2021-12-14 10:51:45	ga_ls8c_ard_3-2-1_105080_2021-12-14_final
2021-12-15 09:53:20	ga_ls8c_ard_3-2-1_096073_2021-12-15_final
2021-12-15 09:53:44	ga_ls8c_ard_3-2-1_096074_2021-12-15_final
2021-12-15 09:54:07	ga_ls8c_ard_3-2-1_096075_2021-12-15_final
2021-12-15 09:54:31	ga_ls8c_ard_3-2-1_096076_2021-12-15_final
2021-12-15 09:54:55	ga_ls8c_ard_3-2-1_096077_2021-12-15_final
2021-12-15 09:55:19	ga_ls8c_ard_3-2-1_096078_2021-12-15_final
2021-12-15 09:55:43	ga_ls8c_ard_3-2-1_096079_2021-12-15_final
2021-12-15 09:56:07	ga_ls8c_ard_3-2-1_096080_2021-12-15_final
2021-12-15 09:56:31	ga_ls8c_ard_3-2-1_096081_2021-12-15_final
2021-12-15 09:56:55	ga_ls8c_ard_3-2-1_096082_2021-12-15_final
2021-12-15 09:57:19	ga_ls8c_ard_3-2-1_096083_2021-12-15_final
2021-12-15 11:31:49	ga_ls8c_ard_3-2-1_112072_2021-12-15_final
2021-12-16 10:36:59	ga_ls8c_ard_3-2-1_103074_2021-12-16_final
2021-12-16 10:37:47	ga_ls8c_ard_3-2-1_103076_2021-12-16_final
2021-12-16 10:38:11	ga_ls8c_ard_3-2-1_103077_2021-12-16_final
2021-12-16 10:38:35	ga_ls8c_ard_3-2-1_103078_2021-12-16_final
2021-12-16 10:38:59	ga_ls8c_ard_3-2-1_103079_2021-12-16_final
2021-12-16 10:39:23	ga_ls8c_ard_3-2-1_103080_2021-12-16_final
2021-12-16 10:40:11	ga_ls8c_ard_3-2-1_103082_2021-12-16_final
2021-12-17 09:40:10	ga_ls8c_ard_3-2-1_094071_2021-12-17_final
2021-12-17 09:40:58	ga_ls8c_ard_3-2-1_094073_2021-12-17_final
2021-12-17 09:46:09	ga_ls8c_ard_3-2-1_094086_2021-12-17_final
2021-12-17 09:46:33	ga_ls8c_ard_3-2-1_094087_2021-12-17_final
2021-12-17 11:19:03	ga_ls8c_ard_3-2-1_110071_2021-12-17_final
2021-12-17 11:19:27	ga_ls8c_ard_3-2-1_110072_2021-12-17_final
2021-12-17 11:20:15	ga_ls8c_ard_3-2-1_110074_2021-12-17_final
2021-12-17 11:20:38	ga_ls8c_ard_3-2-1_110075_2021-12-17_final
2021-12-17 11:21:02	ga_ls8c_ard_3-2-1_110076_2021-12-17_final
2021-12-17 11:21:26	ga_ls8c_ard_3-2-1_110077_2021-12-17_final
2021-12-17 11:21:50	ga_ls8c_ard_3-2-1_110078_2021-12-17_final
2021-12-17 11:22:14	ga_ls8c_ard_3-2-1_110079_2021-12-17_final
2021-12-17 11:22:38	ga_ls8c_ard_3-2-1_110080_2021-12-17_final
2021-12-17 11:23:26	ga_ls8c_ard_3-2-1_110082_2021-12-17_final
2021-12-18 10:23:01	ga_ls8c_ard_3-2-1_101070_2021-12-18_final
2021-12-18 10:23:49	ga_ls8c_ard_3-2-1_101072_2021-12-18_final
2021-12-18 10:24:13	ga_ls8c_ard_3-2-1_101073_2021-12-18_final
2021-12-18 10:25:01	ga_ls8c_ard_3-2-1_101075_2021-12-18_final
2021-12-18 10:25:25	ga_ls8c_ard_3-2-1_101076_2021-12-18_final
2021-12-18 10:25:49	ga_ls8c_ard_3-2-1_101077_2021-12-18_final
2021-12-19 09:27:48	ga_ls8c_ard_3-2-1_092071_2021-12-18_final
2021-12-19 09:28:12	ga_ls8c_ard_3-2-1_092072_2021-12-18_final
2021-12-19 09:28:35	ga_ls8c_ard_3-2-1_092073_2021-12-18_final
2021-12-19 09:28:59	ga_ls8c_ard_3-2-1_092074_2021-12-18_final
2021-12-19 09:29:23	ga_ls8c_ard_3-2-1_092075_2021-12-18_final
2021-12-19 09:29:47	ga_ls8c_ard_3-2-1_092076_2021-12-18_final
2021-12-19 09:30:11	ga_ls8c_ard_3-2-1_092077_2021-12-19_final
2021-12-20 10:14:38	ga_ls8c_ard_3-2-1_099080_2021-12-20_final
2021-12-20 10:16:38	ga_ls8c_ard_3-2-1_099085_2021-12-20_final
2021-12-20 11:53:32	ga_ls8c_ard_3-2-1_115080_2021-12-20_final
2021-12-21 09:22:36	ga_ls8c_ard_3-2-1_090089_2021-12-20_final
2021-12-21 10:57:54	ga_ls8c_ard_3-2-1_106080_2021-12-21_final
2021-12-21 10:58:18	ga_ls8c_ard_3-2-1_106081_2021-12-21_final
2021-12-21 10:58:42	ga_ls8c_ard_3-2-1_106082_2021-12-21_final
2021-12-22 09:57:05	ga_ls8c_ard_3-2-1_097067_2021-12-22_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2021-12-22 09:59:05	ga_ls8c_ard_3-2-1_097072_2021-12-22_final
2021-12-22 11:39:10	ga_ls8c_ard_3-2-1_113075_2021-12-22_final
2021-12-22 11:39:34	ga_ls8c_ard_3-2-1_113076_2021-12-22_final
2021-12-22 11:41:09	ga_ls8c_ard_3-2-1_113080_2021-12-22_final
2021-12-23 09:07:50	ga_ls8c_ard_3-2-1_088083_2021-12-22_final
2021-12-23 10:45:32	ga_ls8c_ard_3-2-1_104080_2021-12-23_final
2021-12-23 10:46:19	ga_ls8c_ard_3-2-1_104082_2021-12-23_final
2021-12-24 09:46:42	ga_ls8c_ard_3-2-1_095072_2021-12-24_final
2021-12-24 09:47:06	ga_ls8c_ard_3-2-1_095073_2021-12-24_final
2021-12-24 09:47:30	ga_ls8c_ard_3-2-1_095074_2021-12-24_final
2021-12-24 09:47:54	ga_ls8c_ard_3-2-1_095075_2021-12-24_final
2021-12-24 09:48:18	ga_ls8c_ard_3-2-1_095076_2021-12-24_final
2021-12-24 09:48:42	ga_ls8c_ard_3-2-1_095077_2021-12-24_final
2021-12-24 09:49:06	ga_ls8c_ard_3-2-1_095078_2021-12-24_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2021-12-24 11:25:11	ga_ls8c_ard_3-2-1_111071_2021-12-24_final
2021-12-24 11:26:23	ga_ls8c_ard_3-2-1_111074_2021-12-24_final
2021-12-25 10:32:21	ga_ls8c_ard_3-2-1_102078_2021-12-25_final
2021-12-25 10:32:45	ga_ls8c_ard_3-2-1_102079_2021-12-25_final
2021-12-25 10:33:09	ga_ls8c_ard_3-2-1_102080_2021-12-25_final
2021-12-25 10:33:57	ga_ls8c_ard_3-2-1_102082_2021-12-25_final
2021-12-26 09:35:08	ga_ls8c_ard_3-2-1_093074_2021-12-26_final
2021-12-26 09:35:32	ga_ls8c_ard_3-2-1_093075_2021-12-26_final
2021-12-26 11:12:25	ga_ls8c_ard_3-2-1_109070_2021-12-26_final
2021-12-26 11:12:49	ga_ls8c_ard_3-2-1_109071_2021-12-26_final
2021-12-26 11:13:13	ga_ls8c_ard_3-2-1_109072_2021-12-26_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