Search ga_ls8c_ard_3 across April 2024

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
2024-04-01 09:15:55	ga_ls8c_ard_3-2-1_090074_2024-03-31_final
2024-04-01 09:16:19	ga_ls8c_ard_3-2-1_090075_2024-03-31_final
2024-04-01 09:16:42	ga_ls8c_ard_3-2-1_090076_2024-03-31_final
2024-04-01 09:17:06	ga_ls8c_ard_3-2-1_090077_2024-03-31_final
2024-04-01 09:17:30	ga_ls8c_ard_3-2-1_090078_2024-03-31_final
2024-04-01 09:17:54	ga_ls8c_ard_3-2-1_090079_2024-03-31_final
2024-04-01 09:18:18	ga_ls8c_ard_3-2-1_090080_2024-03-31_final
2024-04-01 09:18:42	ga_ls8c_ard_3-2-1_090081_2024-03-31_final
2024-04-01 09:19:06	ga_ls8c_ard_3-2-1_090082_2024-03-31_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_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 09:20:42	ga_ls8c_ard_3-2-1_090086_2024-03-31_final
2024-04-01 09:21:06	ga_ls8c_ard_3-2-1_090087_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
2024-04-01 09:22:42	ga_ls8c_ard_3-2-1_090091_2024-03-31_interim
2024-04-01 10:52:00	ga_ls8c_ard_3-2-1_106067_2024-04-01_interim
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_final
2024-04-01 10:52:48	ga_ls8c_ard_3-2-1_106069_2024-04-01_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-01 10:53:36	ga_ls8c_ard_3-2-1_106071_2024-04-01_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_final
2024-04-01 10:54:24	ga_ls8c_ard_3-2-1_106073_2024-04-01_final
2024-04-01 10:54:48	ga_ls8c_ard_3-2-1_106074_2024-04-01_final
2024-04-01 10:55:12	ga_ls8c_ard_3-2-1_106075_2024-04-01_final
2024-04-01 10:55:35	ga_ls8c_ard_3-2-1_106076_2024-04-01_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-01 10:56:47	ga_ls8c_ard_3-2-1_106079_2024-04-01_final
2024-04-01 10:57:11	ga_ls8c_ard_3-2-1_106080_2024-04-01_final
2024-04-01 10:57:35	ga_ls8c_ard_3-2-1_106081_2024-04-01_final
2024-04-01 10:57:59	ga_ls8c_ard_3-2-1_106082_2024-04-01_final
2024-04-01 10:58:23	ga_ls8c_ard_3-2-1_106083_2024-04-01_final
2024-04-01 12:30:53	ga_ls8c_ard_3-2-1_122067_2024-04-01_final
2024-04-02 09:56:23	ga_ls8c_ard_3-2-1_097067_2024-04-02_final
2024-04-02 09:56:47	ga_ls8c_ard_3-2-1_097068_2024-04-02_final
2024-04-02 09:57:11	ga_ls8c_ard_3-2-1_097069_2024-04-02_final
2024-04-02 09:57:35	ga_ls8c_ard_3-2-1_097070_2024-04-02_final
2024-04-02 09:57:59	ga_ls8c_ard_3-2-1_097071_2024-04-02_final
2024-04-02 09:58:22	ga_ls8c_ard_3-2-1_097072_2024-04-02_final
2024-04-02 09:58:46	ga_ls8c_ard_3-2-1_097073_2024-04-02_final
2024-04-02 09:59:10	ga_ls8c_ard_3-2-1_097074_2024-04-02_final
2024-04-02 09:59:34	ga_ls8c_ard_3-2-1_097075_2024-04-02_final
2024-04-02 09:59:58	ga_ls8c_ard_3-2-1_097076_2024-04-02_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-02 10:00:46	ga_ls8c_ard_3-2-1_097078_2024-04-02_final
2024-04-02 10:01:10	ga_ls8c_ard_3-2-1_097079_2024-04-02_final
2024-04-02 10:01:34	ga_ls8c_ard_3-2-1_097080_2024-04-02_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-02 10:02:22	ga_ls8c_ard_3-2-1_097082_2024-04-02_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-02 10:03:10	ga_ls8c_ard_3-2-1_097084_2024-04-02_final
2024-04-02 10:03:34	ga_ls8c_ard_3-2-1_097085_2024-04-02_final
2024-04-02 11:37:16	ga_ls8c_ard_3-2-1_113072_2024-04-02_final
2024-04-02 11:37:40	ga_ls8c_ard_3-2-1_113073_2024-04-02_final
2024-04-02 11:38:03	ga_ls8c_ard_3-2-1_113074_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-02 11:39:39	ga_ls8c_ard_3-2-1_113078_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-02 11:40:27	ga_ls8c_ard_3-2-1_113080_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-02 11:41:15	ga_ls8c_ard_3-2-1_113082_2024-04-02_final
2024-04-02 11:41:39	ga_ls8c_ard_3-2-1_113083_2024-04-02_final
2024-04-02 11:42:03	ga_ls8c_ard_3-2-1_113084_2024-04-02_final
2024-04-03 09:03:57	ga_ls8c_ard_3-2-1_088075_2024-04-02_interim
2024-04-03 09:04:21	ga_ls8c_ard_3-2-1_088076_2024-04-02_interim
2024-04-03 09:05:57	ga_ls8c_ard_3-2-1_088080_2024-04-02_final
2024-04-03 09:06:21	ga_ls8c_ard_3-2-1_088081_2024-04-02_final
2024-04-03 09:06:45	ga_ls8c_ard_3-2-1_088082_2024-04-02_final
2024-04-03 09:07:09	ga_ls8c_ard_3-2-1_088083_2024-04-02_final
2024-04-04 09:49:36	ga_ls8c_ard_3-2-1_095081_2024-04-04_final
2024-04-04 09:50:00	ga_ls8c_ard_3-2-1_095082_2024-04-04_final
2024-04-04 09:50:24	ga_ls8c_ard_3-2-1_095083_2024-04-04_final
2024-04-04 09:50:48	ga_ls8c_ard_3-2-1_095084_2024-04-04_final
2024-04-04 09:51:12	ga_ls8c_ard_3-2-1_095085_2024-04-04_final
2024-04-04 09:51:36	ga_ls8c_ard_3-2-1_095086_2024-04-04_final
2024-04-04 09:52:00	ga_ls8c_ard_3-2-1_095087_2024-04-04_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_final
2024-04-04 11:23:42	ga_ls8c_ard_3-2-1_111069_2024-04-04_final
2024-04-04 11:24:06	ga_ls8c_ard_3-2-1_111070_2024-04-04_final
2024-04-04 11:24:30	ga_ls8c_ard_3-2-1_111071_2024-04-04_final
2024-04-04 11:24:54	ga_ls8c_ard_3-2-1_111072_2024-04-04_final
2024-04-04 11:25:18	ga_ls8c_ard_3-2-1_111073_2024-04-04_final
2024-04-04 11:25:42	ga_ls8c_ard_3-2-1_111074_2024-04-04_final
2024-04-04 11:26:06	ga_ls8c_ard_3-2-1_111075_2024-04-04_final
2024-04-04 11:26:30	ga_ls8c_ard_3-2-1_111076_2024-04-04_final
2024-04-04 11:26:54	ga_ls8c_ard_3-2-1_111077_2024-04-04_final
2024-04-04 11:27:18	ga_ls8c_ard_3-2-1_111078_2024-04-04_final
2024-04-04 11:27:41	ga_ls8c_ard_3-2-1_111079_2024-04-04_final
2024-04-04 11:28:05	ga_ls8c_ard_3-2-1_111080_2024-04-04_final
2024-04-04 11:28:29	ga_ls8c_ard_3-2-1_111081_2024-04-04_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-04 11:29:17	ga_ls8c_ard_3-2-1_111083_2024-04-04_final
2024-04-04 11:29:41	ga_ls8c_ard_3-2-1_111084_2024-04-04_final
2024-04-07 10:18:06	ga_ls8c_ard_3-2-1_100075_2024-04-07_final
2024-04-07 11:57:47	ga_ls8c_ard_3-2-1_116077_2024-04-07_final

Return to ga_ls8c_ard_3 across April 2024 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

2024

April

All days