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
2021-11-13 09:56:56	ga_ls8c_ard_3-2-0_096082_2021-11-13_final
2021-11-14 10:34:12	ga_ls8c_ard_3-2-0_103067_2021-11-14_final
2021-11-14 10:34:36	ga_ls8c_ard_3-2-0_103068_2021-11-14_final
2021-11-14 10:35:00	ga_ls8c_ard_3-2-0_103069_2021-11-14_final
2021-11-14 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-14_final
2021-11-14 10:35:48	ga_ls8c_ard_3-2-0_103071_2021-11-14_final
2021-11-14 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-14_final
2021-11-14 10:36:36	ga_ls8c_ard_3-2-0_103073_2021-11-14_final
2021-11-14 10:37:00	ga_ls8c_ard_3-2-0_103074_2021-11-14_final
2021-11-14 10:37:24	ga_ls8c_ard_3-2-0_103075_2021-11-14_final
2021-11-14 10:37:48	ga_ls8c_ard_3-2-0_103076_2021-11-14_final
2021-11-14 10:38:12	ga_ls8c_ard_3-2-0_103077_2021-11-14_final
2021-11-14 10:38:36	ga_ls8c_ard_3-2-0_103078_2021-11-14_final
2021-11-14 10:39:00	ga_ls8c_ard_3-2-0_103079_2021-11-14_final
2021-11-14 10:39:24	ga_ls8c_ard_3-2-0_103080_2021-11-14_final
2021-11-14 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-14_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-11-14 10:40:36	ga_ls8c_ard_3-2-0_103083_2021-11-14_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-11-15 09:40:34	ga_ls8c_ard_3-2-0_094072_2021-11-15_final
2021-11-15 09:40:58	ga_ls8c_ard_3-2-0_094073_2021-11-15_final
2021-11-15 09:41:22	ga_ls8c_ard_3-2-0_094074_2021-11-15_final
2021-11-15 09:41:46	ga_ls8c_ard_3-2-0_094075_2021-11-15_final
2021-11-15 09:42:10	ga_ls8c_ard_3-2-0_094076_2021-11-15_final
2021-11-15 09:42:34	ga_ls8c_ard_3-2-0_094077_2021-11-15_final
2021-11-15 09:42:58	ga_ls8c_ard_3-2-0_094078_2021-11-15_final
2021-11-15 09:43:22	ga_ls8c_ard_3-2-0_094079_2021-11-15_final
2021-11-15 09:43:46	ga_ls8c_ard_3-2-0_094080_2021-11-15_final
2021-11-15 09:44:10	ga_ls8c_ard_3-2-0_094081_2021-11-15_final
2021-11-15 09:44:34	ga_ls8c_ard_3-2-0_094082_2021-11-15_final
2021-11-15 09:44:58	ga_ls8c_ard_3-2-0_094083_2021-11-15_final
2021-11-15 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-11-15_final
2021-11-15 09:45:46	ga_ls8c_ard_3-2-0_094085_2021-11-15_final
2021-11-15 09:46:10	ga_ls8c_ard_3-2-0_094086_2021-11-15_final
2021-11-15 09:46:34	ga_ls8c_ard_3-2-0_094087_2021-11-15_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-11-15 11:17:52	ga_ls8c_ard_3-2-0_110068_2021-11-15_final
2021-11-15 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-11-15_final
2021-11-15 11:18:40	ga_ls8c_ard_3-2-0_110070_2021-11-15_final
2021-11-15 11:19:03	ga_ls8c_ard_3-2-0_110071_2021-11-15_final
2021-11-15 11:19:27	ga_ls8c_ard_3-2-0_110072_2021-11-15_final
2021-11-15 11:19:51	ga_ls8c_ard_3-2-0_110073_2021-11-15_final
2021-11-15 11:20:15	ga_ls8c_ard_3-2-0_110074_2021-11-15_final
2021-11-15 11:20:39	ga_ls8c_ard_3-2-0_110075_2021-11-15_final
2021-11-15 11:21:03	ga_ls8c_ard_3-2-0_110076_2021-11-15_final
2021-11-15 11:21:27	ga_ls8c_ard_3-2-0_110077_2021-11-15_final
2021-11-15 11:21:51	ga_ls8c_ard_3-2-0_110078_2021-11-15_final
2021-11-15 11:22:15	ga_ls8c_ard_3-2-0_110079_2021-11-15_final
2021-11-15 11:23:03	ga_ls8c_ard_3-2-0_110081_2021-11-15_final
2021-11-15 11:23:51	ga_ls8c_ard_3-2-0_110083_2021-11-15_final
2021-11-15 11:24:15	ga_ls8c_ard_3-2-0_110084_2021-11-15_final
2021-11-15 11:24:39	ga_ls8c_ard_3-2-0_110085_2021-11-15_final
2021-11-16 10:21:50	ga_ls8c_ard_3-2-0_101067_2021-11-16_final
2021-11-16 10:22:38	ga_ls8c_ard_3-2-0_101069_2021-11-16_final
2021-11-16 10:23:50	ga_ls8c_ard_3-2-0_101072_2021-11-16_final
2021-11-16 10:24:38	ga_ls8c_ard_3-2-0_101074_2021-11-16_final
2021-11-16 10:25:01	ga_ls8c_ard_3-2-0_101075_2021-11-16_final
2021-11-16 10:25:49	ga_ls8c_ard_3-2-0_101077_2021-11-16_final
2021-11-16 10:26:13	ga_ls8c_ard_3-2-0_101078_2021-11-16_final
2021-11-16 10:26:37	ga_ls8c_ard_3-2-0_101079_2021-11-16_final
2021-11-16 10:27:01	ga_ls8c_ard_3-2-0_101080_2021-11-16_final
2021-11-16 10:27:25	ga_ls8c_ard_3-2-0_101081_2021-11-16_final
2021-11-16 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-11-16_final
2021-11-16 10:28:13	ga_ls8c_ard_3-2-0_101083_2021-11-16_final
2021-11-16 10:28:37	ga_ls8c_ard_3-2-0_101084_2021-11-16_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-11-17 09:26:36	ga_ls8c_ard_3-2-0_092068_2021-11-16_final
2021-11-17 09:27:48	ga_ls8c_ard_3-2-0_092071_2021-11-16_final
2021-11-17 09:28:12	ga_ls8c_ard_3-2-0_092072_2021-11-16_final
2021-11-17 09:29:48	ga_ls8c_ard_3-2-0_092076_2021-11-16_final
2021-11-17 09:30:12	ga_ls8c_ard_3-2-0_092077_2021-11-17_final
2021-11-17 09:31:23	ga_ls8c_ard_3-2-0_092080_2021-11-17_final
2021-11-17 09:31:47	ga_ls8c_ard_3-2-0_092081_2021-11-17_final
2021-11-17 09:32:11	ga_ls8c_ard_3-2-0_092082_2021-11-17_final
2021-11-17 09:32:35	ga_ls8c_ard_3-2-0_092083_2021-11-17_final
2021-11-17 09:32:59	ga_ls8c_ard_3-2-0_092084_2021-11-17_final
2021-11-17 09:33:23	ga_ls8c_ard_3-2-0_092085_2021-11-17_final
2021-11-17 09:33:47	ga_ls8c_ard_3-2-0_092086_2021-11-17_final
2021-11-17 09:34:11	ga_ls8c_ard_3-2-0_092087_2021-11-17_final
2021-11-17 09:34:35	ga_ls8c_ard_3-2-0_092088_2021-11-17_final
2021-11-17 09:34:59	ga_ls8c_ard_3-2-0_092089_2021-11-17_final
2021-11-17 09:35:23	ga_ls8c_ard_3-2-0_092090_2021-11-17_final
2021-11-17 11:05:05	ga_ls8c_ard_3-2-0_108067_2021-11-17_final
2021-11-17 11:05:29	ga_ls8c_ard_3-2-0_108068_2021-11-17_final
2021-11-17 11:05:53	ga_ls8c_ard_3-2-0_108069_2021-11-17_final
2021-11-17 11:06:17	ga_ls8c_ard_3-2-0_108070_2021-11-17_final
2021-11-17 11:06:41	ga_ls8c_ard_3-2-0_108071_2021-11-17_final
2021-11-17 11:07:05	ga_ls8c_ard_3-2-0_108072_2021-11-17_final
2021-11-17 11:07:53	ga_ls8c_ard_3-2-0_108074_2021-11-17_final
2021-11-17 11:08:17	ga_ls8c_ard_3-2-0_108075_2021-11-17_final
2021-11-17 11:08:41	ga_ls8c_ard_3-2-0_108076_2021-11-17_final
2021-11-17 11:09:05	ga_ls8c_ard_3-2-0_108077_2021-11-17_final
2021-11-17 11:09:28	ga_ls8c_ard_3-2-0_108078_2021-11-17_final
2021-11-17 11:09:52	ga_ls8c_ard_3-2-0_108079_2021-11-17_final
2021-11-17 11:10:16	ga_ls8c_ard_3-2-0_108080_2021-11-17_final
2021-11-17 11:10:40	ga_ls8c_ard_3-2-0_108081_2021-11-17_final
2021-11-17 11:11:04	ga_ls8c_ard_3-2-0_108082_2021-11-17_final
2021-11-17 11:11:28	ga_ls8c_ard_3-2-0_108083_2021-11-17_final
2021-11-17 11:11:52	ga_ls8c_ard_3-2-0_108084_2021-11-17_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