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
2020-11-10 11:29:45	ga_ls8c_ard_3-1-0_112067_2020-11-10_final
2020-11-10 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-11-10_final
2020-11-10 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-11-10_final
2020-11-10 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-11-10_final
2020-11-10 11:33:21	ga_ls8c_ard_3-1-0_112076_2020-11-10_final
2020-11-10 11:35:20	ga_ls8c_ard_3-1-0_112081_2020-11-10_final
2020-11-10 11:35:44	ga_ls8c_ard_3-1-0_112082_2020-11-10_final
2020-11-10 11:36:32	ga_ls8c_ard_3-1-0_112084_2020-11-10_final
2020-11-10 11:36:56	ga_ls8c_ard_3-1-0_112085_2020-11-10_final
2020-11-11 10:34:08	ga_ls8c_ard_3-1-0_103067_2020-11-11_final
2020-11-11 10:34:32	ga_ls8c_ard_3-1-0_103068_2020-11-11_final
2020-11-11 10:34:55	ga_ls8c_ard_3-1-0_103069_2020-11-11_final
2020-11-11 10:35:19	ga_ls8c_ard_3-1-0_103070_2020-11-11_final
2020-11-11 10:35:43	ga_ls8c_ard_3-1-0_103071_2020-11-11_final
2020-11-11 10:36:07	ga_ls8c_ard_3-1-0_103072_2020-11-11_final
2020-11-11 10:36:31	ga_ls8c_ard_3-1-0_103073_2020-11-11_final
2020-11-11 10:38:07	ga_ls8c_ard_3-1-0_103077_2020-11-11_final
2020-11-11 10:38:31	ga_ls8c_ard_3-1-0_103078_2020-11-11_final
2020-11-11 10:38:55	ga_ls8c_ard_3-1-0_103079_2020-11-11_final
2020-11-11 10:39:19	ga_ls8c_ard_3-1-0_103080_2020-11-11_final
2020-11-11 10:39:43	ga_ls8c_ard_3-1-0_103081_2020-11-11_final
2020-11-11 10:40:07	ga_ls8c_ard_3-1-0_103082_2020-11-11_final
2020-11-12 11:17:23	ga_ls8c_ard_3-1-0_110067_2020-11-12_final
2020-11-12 11:17:47	ga_ls8c_ard_3-1-0_110068_2020-11-12_final
2020-11-12 11:18:35	ga_ls8c_ard_3-1-0_110070_2020-11-12_final
2020-11-12 11:18:59	ga_ls8c_ard_3-1-0_110071_2020-11-12_final
2020-11-12 11:19:23	ga_ls8c_ard_3-1-0_110072_2020-11-12_final
2020-11-12 11:19:47	ga_ls8c_ard_3-1-0_110073_2020-11-12_final
2020-11-12 11:20:11	ga_ls8c_ard_3-1-0_110074_2020-11-12_final
2020-11-12 11:20:34	ga_ls8c_ard_3-1-0_110075_2020-11-12_final
2020-11-12 11:20:58	ga_ls8c_ard_3-1-0_110076_2020-11-12_final
2020-11-12 11:21:22	ga_ls8c_ard_3-1-0_110077_2020-11-12_final
2020-11-12 11:21:46	ga_ls8c_ard_3-1-0_110078_2020-11-12_final
2020-11-12 11:22:10	ga_ls8c_ard_3-1-0_110079_2020-11-12_final
2020-11-12 11:22:34	ga_ls8c_ard_3-1-0_110080_2020-11-12_final
2020-11-12 11:22:58	ga_ls8c_ard_3-1-0_110081_2020-11-12_final
2020-11-12 11:23:22	ga_ls8c_ard_3-1-0_110082_2020-11-12_final
2020-11-12 11:23:46	ga_ls8c_ard_3-1-0_110083_2020-11-12_final
2020-11-12 11:24:10	ga_ls8c_ard_3-1-0_110084_2020-11-12_final
2020-11-12 11:24:34	ga_ls8c_ard_3-1-0_110085_2020-11-12_final
2020-11-20 10:27:59	ga_ls8c_ard_3-1-0_102067_2020-11-20_final
2020-11-20 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-11-20_final
2020-11-20 10:28:47	ga_ls8c_ard_3-1-0_102069_2020-11-20_final
2020-11-20 10:29:11	ga_ls8c_ard_3-1-0_102070_2020-11-20_final
2020-11-20 10:29:35	ga_ls8c_ard_3-1-0_102071_2020-11-20_final
2020-11-20 10:29:59	ga_ls8c_ard_3-1-0_102072_2020-11-20_final
2020-11-20 10:30:46	ga_ls8c_ard_3-1-0_102074_2020-11-20_final
2020-11-27 10:38:11	ga_ls8c_ard_3-1-0_103077_2020-11-27_final
2020-11-29 10:26:13	ga_ls8c_ard_3-1-0_101078_2020-11-29_final
2020-11-29 10:28:13	ga_ls8c_ard_3-1-0_101083_2020-11-29_final
2020-11-29 10:28:37	ga_ls8c_ard_3-1-0_101084_2020-11-29_final
2020-11-30 11:05:06	ga_ls8c_ard_3-1-0_108067_2020-11-30_final
2020-11-30 11:05:30	ga_ls8c_ard_3-1-0_108068_2020-11-30_final
2020-11-30 11:07:06	ga_ls8c_ard_3-1-0_108072_2020-11-30_final
2020-11-30 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-11-30_final
2020-11-30 11:08:41	ga_ls8c_ard_3-1-0_108076_2020-11-30_final
2020-11-30 11:09:29	ga_ls8c_ard_3-1-0_108078_2020-11-30_final
2020-11-30 11:10:17	ga_ls8c_ard_3-1-0_108080_2020-11-30_final
2020-11-30 11:11:53	ga_ls8c_ard_3-1-0_108084_2020-11-30_final
2020-11-30 11:12:17	ga_ls8c_ard_3-1-0_108085_2020-11-30_final
2020-12-16 09:26:13	ga_ls8c_ard_3-1-0_092067_2020-12-15_final
2020-12-16 09:26:37	ga_ls8c_ard_3-1-0_092068_2020-12-15_final
2020-12-16 09:27:48	ga_ls8c_ard_3-1-0_092071_2020-12-15_final
2020-12-16 09:28:12	ga_ls8c_ard_3-1-0_092072_2020-12-15_final
2020-12-16 09:28:36	ga_ls8c_ard_3-1-0_092073_2020-12-15_final
2020-12-16 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-12-15_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2020-12-16 09:29:48	ga_ls8c_ard_3-1-0_092076_2020-12-15_final
2020-12-16 09:30:12	ga_ls8c_ard_3-1-0_092077_2020-12-16_final
2020-12-16 09:30:36	ga_ls8c_ard_3-1-0_092078_2020-12-16_final
2020-12-16 09:31:00	ga_ls8c_ard_3-1-0_092079_2020-12-16_final
2020-12-16 09:31:24	ga_ls8c_ard_3-1-0_092080_2020-12-16_final
2020-12-16 09:31:48	ga_ls8c_ard_3-1-0_092081_2020-12-16_final
2020-12-16 09:32:12	ga_ls8c_ard_3-1-0_092082_2020-12-16_final
2020-12-16 09:32:36	ga_ls8c_ard_3-1-0_092083_2020-12-16_final
2020-12-16 09:33:00	ga_ls8c_ard_3-1-0_092084_2020-12-16_final
2020-12-16 09:33:24	ga_ls8c_ard_3-1-0_092085_2020-12-16_final
2020-12-16 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-12-16_final
2020-12-16 09:34:12	ga_ls8c_ard_3-1-0_092087_2020-12-16_final
2020-12-16 09:34:36	ga_ls8c_ard_3-1-0_092088_2020-12-16_final
2020-12-16 09:35:00	ga_ls8c_ard_3-1-0_092089_2020-12-16_final
2020-12-16 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-12-16_final
2020-12-16 11:05:06	ga_ls8c_ard_3-1-0_108067_2020-12-16_final
2020-12-16 11:05:30	ga_ls8c_ard_3-1-0_108068_2020-12-16_final
2020-12-16 11:05:54	ga_ls8c_ard_3-1-0_108069_2020-12-16_final
2020-12-16 11:06:18	ga_ls8c_ard_3-1-0_108070_2020-12-16_final
2020-12-16 11:06:41	ga_ls8c_ard_3-1-0_108071_2020-12-16_final
2020-12-16 11:07:05	ga_ls8c_ard_3-1-0_108072_2020-12-16_final
2020-12-16 11:07:29	ga_ls8c_ard_3-1-0_108073_2020-12-16_final
2020-12-16 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-12-16_final
2020-12-16 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-12-16_final
2020-12-16 11:08:41	ga_ls8c_ard_3-1-0_108076_2020-12-16_final
2020-12-16 11:09:05	ga_ls8c_ard_3-1-0_108077_2020-12-16_final
2020-12-16 11:09:29	ga_ls8c_ard_3-1-0_108078_2020-12-16_final
2020-12-16 11:09:53	ga_ls8c_ard_3-1-0_108079_2020-12-16_final
2020-12-16 11:10:17	ga_ls8c_ard_3-1-0_108080_2020-12-16_final
2020-12-16 11:10:41	ga_ls8c_ard_3-1-0_108081_2020-12-16_final
2020-12-16 11:11:05	ga_ls8c_ard_3-1-0_108082_2020-12-16_final
2020-12-16 11:11:29	ga_ls8c_ard_3-1-0_108083_2020-12-16_final
2020-12-16 11:11:53	ga_ls8c_ard_3-1-0_108084_2020-12-16_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