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
2020-11-19 11:23:36	ga_ls8c_ard_3-1-0_111067_2020-11-19_final
2020-11-19 11:24:00	ga_ls8c_ard_3-1-0_111068_2020-11-19_final
2020-11-19 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-11-19_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-19 11:25:12	ga_ls8c_ard_3-1-0_111071_2020-11-19_final
2020-11-19 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-11-19_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-19 11:26:23	ga_ls8c_ard_3-1-0_111074_2020-11-19_final
2020-11-19 11:26:47	ga_ls8c_ard_3-1-0_111075_2020-11-19_final
2020-11-19 11:27:11	ga_ls8c_ard_3-1-0_111076_2020-11-19_final
2020-11-19 11:27:35	ga_ls8c_ard_3-1-0_111077_2020-11-19_final
2020-11-19 11:27:59	ga_ls8c_ard_3-1-0_111078_2020-11-19_final
2020-11-19 11:28:23	ga_ls8c_ard_3-1-0_111079_2020-11-19_final
2020-11-19 11:28:47	ga_ls8c_ard_3-1-0_111080_2020-11-19_final
2020-11-19 11:29:11	ga_ls8c_ard_3-1-0_111081_2020-11-19_final
2020-11-19 11:29:35	ga_ls8c_ard_3-1-0_111082_2020-11-19_final
2020-11-19 11:29:59	ga_ls8c_ard_3-1-0_111083_2020-11-19_final
2020-11-19 11:30:23	ga_ls8c_ard_3-1-0_111084_2020-11-19_final
2020-11-19 11:30:47	ga_ls8c_ard_3-1-0_111085_2020-11-19_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-11-21 11:12:27	ga_ls8c_ard_3-1-0_109070_2020-11-21_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2020-11-21 11:13:38	ga_ls8c_ard_3-1-0_109073_2020-11-21_final
2020-11-21 11:14:02	ga_ls8c_ard_3-1-0_109074_2020-11-21_final
2020-11-21 11:14:26	ga_ls8c_ard_3-1-0_109075_2020-11-21_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2020-11-21 11:15:14	ga_ls8c_ard_3-1-0_109077_2020-11-21_final
2020-11-21 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-11-21_final
2020-11-21 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-11-21_final
2020-11-21 11:16:26	ga_ls8c_ard_3-1-0_109080_2020-11-21_final
2020-11-21 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-11-21_final
2020-11-21 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-11-21_final
2020-11-21 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-11-21_final
2020-11-21 11:18:02	ga_ls8c_ard_3-1-0_109084_2020-11-21_final
2020-11-21 11:18:26	ga_ls8c_ard_3-1-0_109085_2020-11-21_final
2020-11-26 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-11-26_final
2020-11-26 11:30:12	ga_ls8c_ard_3-1-0_112068_2020-11-26_final
2020-11-26 11:30:36	ga_ls8c_ard_3-1-0_112069_2020-11-26_final
2020-11-26 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-11-26_final
2020-11-26 11:31:24	ga_ls8c_ard_3-1-0_112071_2020-11-26_final
2020-11-26 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-11-26_final
2020-11-26 11:32:12	ga_ls8c_ard_3-1-0_112073_2020-11-26_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2020-11-26 11:33:00	ga_ls8c_ard_3-1-0_112075_2020-11-26_final
2020-11-26 11:33:24	ga_ls8c_ard_3-1-0_112076_2020-11-26_final
2020-11-26 11:33:48	ga_ls8c_ard_3-1-0_112077_2020-11-26_final
2020-11-26 11:34:12	ga_ls8c_ard_3-1-0_112078_2020-11-26_final
2020-11-28 11:17:27	ga_ls8c_ard_3-1-0_110067_2020-11-28_final
2020-11-28 11:17:51	ga_ls8c_ard_3-1-0_110068_2020-11-28_final
2020-11-28 11:18:15	ga_ls8c_ard_3-1-0_110069_2020-11-28_final
2020-11-28 11:18:39	ga_ls8c_ard_3-1-0_110070_2020-11-28_final
2020-11-28 11:19:03	ga_ls8c_ard_3-1-0_110071_2020-11-28_final
2020-11-28 11:19:27	ga_ls8c_ard_3-1-0_110072_2020-11-28_final
2020-11-28 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-11-28_final
2020-11-28 11:20:15	ga_ls8c_ard_3-1-0_110074_2020-11-28_final
2020-11-28 11:20:39	ga_ls8c_ard_3-1-0_110075_2020-11-28_final
2020-11-28 11:21:03	ga_ls8c_ard_3-1-0_110076_2020-11-28_final
2020-11-28 11:21:27	ga_ls8c_ard_3-1-0_110077_2020-11-28_final
2020-11-28 11:21:51	ga_ls8c_ard_3-1-0_110078_2020-11-28_final
2020-11-28 11:22:14	ga_ls8c_ard_3-1-0_110079_2020-11-28_final
2020-11-28 11:22:38	ga_ls8c_ard_3-1-0_110080_2020-11-28_final
2020-11-28 11:23:02	ga_ls8c_ard_3-1-0_110081_2020-11-28_final
2020-11-28 11:23:26	ga_ls8c_ard_3-1-0_110082_2020-11-28_final
2020-11-28 11:23:50	ga_ls8c_ard_3-1-0_110083_2020-11-28_final
2020-11-28 11:24:14	ga_ls8c_ard_3-1-0_110084_2020-11-28_final
2020-11-28 11:24:38	ga_ls8c_ard_3-1-0_110085_2020-11-28_final
2020-12-13 10:34:36	ga_ls8c_ard_3-1-0_103068_2020-12-13_final
2020-12-13 10:35:00	ga_ls8c_ard_3-1-0_103069_2020-12-13_final
2020-12-13 10:35:24	ga_ls8c_ard_3-1-0_103070_2020-12-13_final
2020-12-13 10:35:48	ga_ls8c_ard_3-1-0_103071_2020-12-13_final
2020-12-13 10:36:12	ga_ls8c_ard_3-1-0_103072_2020-12-13_final
2020-12-13 10:36:36	ga_ls8c_ard_3-1-0_103073_2020-12-13_final
2020-12-13 10:37:00	ga_ls8c_ard_3-1-0_103074_2020-12-13_final
2020-12-13 10:37:23	ga_ls8c_ard_3-1-0_103075_2020-12-13_final
2020-12-13 10:37:47	ga_ls8c_ard_3-1-0_103076_2020-12-13_final
2020-12-13 10:38:11	ga_ls8c_ard_3-1-0_103077_2020-12-13_final
2020-12-13 10:38:35	ga_ls8c_ard_3-1-0_103078_2020-12-13_final
2020-12-13 10:38:59	ga_ls8c_ard_3-1-0_103079_2020-12-13_final
2020-12-13 10:39:23	ga_ls8c_ard_3-1-0_103080_2020-12-13_final
2020-12-13 10:39:47	ga_ls8c_ard_3-1-0_103081_2020-12-13_final
2020-12-13 10:40:11	ga_ls8c_ard_3-1-0_103082_2020-12-13_final
2020-12-13 10:40:35	ga_ls8c_ard_3-1-0_103083_2020-12-13_final
2020-12-14 09:38:35	ga_ls8c_ard_3-1-0_094067_2020-12-14_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2020-12-14 09:40:58	ga_ls8c_ard_3-1-0_094073_2020-12-14_final
2020-12-14 09:41:22	ga_ls8c_ard_3-1-0_094074_2020-12-14_final
2020-12-14 09:41:46	ga_ls8c_ard_3-1-0_094075_2020-12-14_final
2020-12-14 09:42:10	ga_ls8c_ard_3-1-0_094076_2020-12-14_final
2020-12-14 09:42:34	ga_ls8c_ard_3-1-0_094077_2020-12-14_final
2020-12-14 09:42:58	ga_ls8c_ard_3-1-0_094078_2020-12-14_final
2020-12-14 09:43:22	ga_ls8c_ard_3-1-0_094079_2020-12-14_final
2020-12-14 09:43:46	ga_ls8c_ard_3-1-0_094080_2020-12-14_final
2020-12-14 09:44:10	ga_ls8c_ard_3-1-0_094081_2020-12-14_final
2020-12-14 09:44:34	ga_ls8c_ard_3-1-0_094082_2020-12-14_final
2020-12-14 09:44:58	ga_ls8c_ard_3-1-0_094083_2020-12-14_final
2020-12-14 09:45:22	ga_ls8c_ard_3-1-0_094084_2020-12-14_final
2020-12-14 09:45:46	ga_ls8c_ard_3-1-0_094085_2020-12-14_final
2020-12-14 09:46:10	ga_ls8c_ard_3-1-0_094086_2020-12-14_final
2020-12-14 09:46:33	ga_ls8c_ard_3-1-0_094087_2020-12-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years