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
2024-03-12 09:40:04	ga_ls8c_ard_3-2-1_094072_2024-03-12_final
2024-03-12 09:40:52	ga_ls8c_ard_3-2-1_094074_2024-03-12_final
2024-03-12 09:42:28	ga_ls8c_ard_3-2-1_094078_2024-03-12_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-12 09:43:16	ga_ls8c_ard_3-2-1_094080_2024-03-12_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-14 09:29:18	ga_ls8c_ard_3-2-1_092076_2024-03-13_final
2024-03-14 09:30:53	ga_ls8c_ard_3-2-1_092080_2024-03-14_final
2024-03-14 09:32:05	ga_ls8c_ard_3-2-1_092083_2024-03-14_final
2024-03-14 09:32:29	ga_ls8c_ard_3-2-1_092084_2024-03-14_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-14 09:33:17	ga_ls8c_ard_3-2-1_092086_2024-03-14_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-14 09:34:53	ga_ls8c_ard_3-2-1_092090_2024-03-14_final
2024-03-16 09:20:06	ga_ls8c_ard_3-2-1_090084_2024-03-15_final
2024-03-16 09:20:30	ga_ls8c_ard_3-2-1_090085_2024-03-15_final
2024-03-16 09:20:54	ga_ls8c_ard_3-2-1_090086_2024-03-15_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_final
2024-03-16 09:22:06	ga_ls8c_ard_3-2-1_090089_2024-03-15_final
2024-03-16 09:22:30	ga_ls8c_ard_3-2-1_090090_2024-03-15_final
2024-03-17 09:56:58	ga_ls8c_ard_3-2-1_097068_2024-03-17_final
2024-03-17 09:57:22	ga_ls8c_ard_3-2-1_097069_2024-03-17_final
2024-03-19 09:46:59	ga_ls8c_ard_3-2-1_095074_2024-03-19_final
2024-03-19 09:47:23	ga_ls8c_ard_3-2-1_095075_2024-03-19_final
2024-03-19 09:47:47	ga_ls8c_ard_3-2-1_095076_2024-03-19_final
2024-03-19 09:48:35	ga_ls8c_ard_3-2-1_095078_2024-03-19_final
2024-03-19 09:48:59	ga_ls8c_ard_3-2-1_095079_2024-03-19_final
2024-03-21 09:33:24	ga_ls8c_ard_3-2-1_093071_2024-03-21_final
2024-03-21 09:33:48	ga_ls8c_ard_3-2-1_093072_2024-03-21_final
2024-03-21 09:34:12	ga_ls8c_ard_3-2-1_093073_2024-03-21_final
2024-03-21 09:34:35	ga_ls8c_ard_3-2-1_093074_2024-03-21_final
2024-03-21 09:34:59	ga_ls8c_ard_3-2-1_093075_2024-03-21_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-21 09:36:59	ga_ls8c_ard_3-2-1_093080_2024-03-21_final
2024-03-21 09:37:23	ga_ls8c_ard_3-2-1_093081_2024-03-21_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-21 09:38:11	ga_ls8c_ard_3-2-1_093083_2024-03-21_final
2024-03-21 09:38:35	ga_ls8c_ard_3-2-1_093084_2024-03-21_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-21 09:39:23	ga_ls8c_ard_3-2-1_093086_2024-03-21_final
2024-03-23 09:24:35	ga_ls8c_ard_3-2-1_091080_2024-03-22_final
2024-03-23 09:25:23	ga_ls8c_ard_3-2-1_091082_2024-03-22_final
2024-03-23 09:25:47	ga_ls8c_ard_3-2-1_091083_2024-03-22_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-03-23 09:26:35	ga_ls8c_ard_3-2-1_091085_2024-03-22_final
2024-03-23 09:27:23	ga_ls8c_ard_3-2-1_091087_2024-03-22_final
2024-03-23 09:27:47	ga_ls8c_ard_3-2-1_091088_2024-03-22_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-03-26 09:51:25	ga_ls8c_ard_3-2-1_096070_2024-03-26_final
2024-03-26 09:51:49	ga_ls8c_ard_3-2-1_096071_2024-03-26_final
2024-03-26 09:52:13	ga_ls8c_ard_3-2-1_096072_2024-03-26_final
2024-03-26 09:53:01	ga_ls8c_ard_3-2-1_096074_2024-03-26_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_final
2024-03-28 09:39:49	ga_ls8c_ard_3-2-1_094072_2024-03-28_final
2024-03-28 09:40:13	ga_ls8c_ard_3-2-1_094073_2024-03-28_final
2024-03-28 09:40:37	ga_ls8c_ard_3-2-1_094074_2024-03-28_final
2024-03-28 09:41:01	ga_ls8c_ard_3-2-1_094075_2024-03-28_final
2024-03-28 09:41:24	ga_ls8c_ard_3-2-1_094076_2024-03-28_final
2024-03-28 09:42:12	ga_ls8c_ard_3-2-1_094078_2024-03-28_final
2024-03-28 09:42:36	ga_ls8c_ard_3-2-1_094079_2024-03-28_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_final
2024-03-28 09:43:48	ga_ls8c_ard_3-2-1_094082_2024-03-28_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_final
2024-03-30 09:29:52	ga_ls8c_ard_3-2-1_092078_2024-03-29_final
2024-03-30 09:30:15	ga_ls8c_ard_3-2-1_092079_2024-03-30_final
2024-03-30 09:31:03	ga_ls8c_ard_3-2-1_092081_2024-03-30_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_final
2024-03-30 09:31:51	ga_ls8c_ard_3-2-1_092083_2024-03-30_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-03-30 09:33:03	ga_ls8c_ard_3-2-1_092086_2024-03-30_final
2024-03-30 09:33:27	ga_ls8c_ard_3-2-1_092087_2024-03-30_final
2024-03-30 09:33:51	ga_ls8c_ard_3-2-1_092088_2024-03-30_final
2024-03-30 09:34:15	ga_ls8c_ard_3-2-1_092089_2024-03-30_final
2024-04-01 09:19:54	ga_ls8c_ard_3-2-1_090084_2024-03-31_final
2024-04-01 09:20:18	ga_ls8c_ard_3-2-1_090085_2024-03-31_final
2024-04-01 09:21:30	ga_ls8c_ard_3-2-1_090088_2024-03-31_final
2024-04-01 09:21:54	ga_ls8c_ard_3-2-1_090089_2024-03-31_final
2024-04-01 09:22:18	ga_ls8c_ard_3-2-1_090090_2024-03-31_final
2024-04-04 09:45:37	ga_ls8c_ard_3-2-1_095071_2024-04-04_final
2024-04-04 09:47:37	ga_ls8c_ard_3-2-1_095076_2024-04-04_final
2024-04-04 09:48:01	ga_ls8c_ard_3-2-1_095077_2024-04-04_final
2024-04-04 09:48:25	ga_ls8c_ard_3-2-1_095078_2024-04-04_final
2024-04-06 09:33:15	ga_ls8c_ard_3-2-1_093071_2024-04-06_final
2024-04-06 09:33:39	ga_ls8c_ard_3-2-1_093072_2024-04-06_final
2024-04-06 09:34:51	ga_ls8c_ard_3-2-1_093075_2024-04-06_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_2024-04-06_final
2024-04-06 09:36:27	ga_ls8c_ard_3-2-1_093079_2024-04-06_final
2024-04-06 09:36:51	ga_ls8c_ard_3-2-1_093080_2024-04-06_final
2024-04-06 09:38:02	ga_ls8c_ard_3-2-1_093083_2024-04-06_final
2024-04-08 09:24:52	ga_ls8c_ard_3-2-1_091081_2024-04-07_final
2024-04-08 09:25:16	ga_ls8c_ard_3-2-1_091082_2024-04-07_final
2024-04-08 09:25:40	ga_ls8c_ard_3-2-1_091083_2024-04-07_final
2024-04-08 09:26:04	ga_ls8c_ard_3-2-1_091084_2024-04-07_final
2024-04-08 09:26:28	ga_ls8c_ard_3-2-1_091085_2024-04-07_final
2024-04-08 09:26:52	ga_ls8c_ard_3-2-1_091086_2024-04-07_final
2024-04-08 09:27:16	ga_ls8c_ard_3-2-1_091087_2024-04-07_final
2024-04-08 09:27:40	ga_ls8c_ard_3-2-1_091088_2024-04-07_final
2024-04-08 09:28:04	ga_ls8c_ard_3-2-1_091089_2024-04-07_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