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

78 results

Time (local)	Label
2020-06-07 11:05:55	ga_ls8c_ard_3-1-0_108071_2020-06-07_final
2020-06-24 10:12:03	ga_ls8c_ard_3-1-0_099075_2020-06-24_final
2020-06-24 10:12:27	ga_ls8c_ard_3-1-0_099076_2020-06-24_final
2020-07-05 09:50:24	ga_ls8c_ard_3-1-0_096067_2020-07-05_final
2020-07-05 09:52:47	ga_ls8c_ard_3-1-0_096073_2020-07-05_final
2020-07-07 11:16:56	ga_ls8c_ard_3-1-0_110067_2020-07-07_final
2020-07-09 11:05:47	ga_ls8c_ard_3-1-0_108070_2020-07-09_final
2020-07-09 11:06:11	ga_ls8c_ard_3-1-0_108071_2020-07-09_final
2020-07-09 11:07:23	ga_ls8c_ard_3-1-0_108074_2020-07-09_final
2020-07-09 11:07:47	ga_ls8c_ard_3-1-0_108075_2020-07-09_final
2020-07-09 11:08:35	ga_ls8c_ard_3-1-0_108077_2020-07-09_final
2020-07-09 11:09:22	ga_ls8c_ard_3-1-0_108079_2020-07-09_final
2020-07-09 11:09:46	ga_ls8c_ard_3-1-0_108080_2020-07-09_final
2020-07-09 11:10:10	ga_ls8c_ard_3-1-0_108081_2020-07-09_final
2020-07-09 11:10:58	ga_ls8c_ard_3-1-0_108083_2020-07-09_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-10 10:12:34	ga_ls8c_ard_3-1-0_099076_2020-07-10_final
2020-07-10 11:51:03	ga_ls8c_ard_3-1-0_115075_2020-07-10_final
2020-07-10 11:51:51	ga_ls8c_ard_3-1-0_115077_2020-07-10_final
2020-07-10 11:52:39	ga_ls8c_ard_3-1-0_115079_2020-07-10_final
2020-07-10 11:53:02	ga_ls8c_ard_3-1-0_115080_2020-07-10_final
2020-07-12 11:42:17	ga_ls8c_ard_3-1-0_113084_2020-07-12_final
2020-07-16 11:11:36	ga_ls8c_ard_3-1-0_109069_2020-07-16_final
2020-07-18 11:00:03	ga_ls8c_ard_3-1-0_107071_2020-07-18_final
2020-07-19 11:41:44	ga_ls8c_ard_3-1-0_114067_2020-07-19_final
2020-07-19 11:45:43	ga_ls8c_ard_3-1-0_114077_2020-07-19_final
2020-07-20 10:46:30	ga_ls8c_ard_3-1-0_105068_2020-07-20_final
2020-07-21 09:50:29	ga_ls8c_ard_3-1-0_096067_2020-07-21_final
2020-07-21 09:50:53	ga_ls8c_ard_3-1-0_096068_2020-07-21_final
2020-07-21 09:51:17	ga_ls8c_ard_3-1-0_096069_2020-07-21_final
2020-07-21 11:29:23	ga_ls8c_ard_3-1-0_112067_2020-07-21_final
2020-07-21 11:29:46	ga_ls8c_ard_3-1-0_112068_2020-07-21_final
2020-07-21 11:30:10	ga_ls8c_ard_3-1-0_112069_2020-07-21_final
2020-07-21 11:31:46	ga_ls8c_ard_3-1-0_112073_2020-07-21_final
2020-07-23 11:19:25	ga_ls8c_ard_3-1-0_110073_2020-07-23_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-25 11:05:52	ga_ls8c_ard_3-1-0_108070_2020-07-25_final
2020-07-25 11:06:16	ga_ls8c_ard_3-1-0_108071_2020-07-25_final
2020-07-25 11:06:40	ga_ls8c_ard_3-1-0_108072_2020-07-25_final
2020-07-25 11:07:52	ga_ls8c_ard_3-1-0_108075_2020-07-25_final
2020-07-25 11:08:40	ga_ls8c_ard_3-1-0_108077_2020-07-25_final
2020-07-25 11:09:04	ga_ls8c_ard_3-1-0_108078_2020-07-25_final
2020-07-25 11:09:28	ga_ls8c_ard_3-1-0_108079_2020-07-25_final
2020-07-25 11:09:52	ga_ls8c_ard_3-1-0_108080_2020-07-25_final
2020-07-25 11:10:15	ga_ls8c_ard_3-1-0_108081_2020-07-25_final
2020-07-25 11:10:39	ga_ls8c_ard_3-1-0_108082_2020-07-25_final
2020-07-25 11:11:03	ga_ls8c_ard_3-1-0_108083_2020-07-25_final
2020-07-25 11:11:27	ga_ls8c_ard_3-1-0_108084_2020-07-25_final
2020-07-26 10:12:39	ga_ls8c_ard_3-1-0_099076_2020-07-26_final
2020-07-26 10:13:50	ga_ls8c_ard_3-1-0_099079_2020-07-26_final
2020-07-26 11:50:20	ga_ls8c_ard_3-1-0_115073_2020-07-26_final
2020-07-26 11:51:08	ga_ls8c_ard_3-1-0_115075_2020-07-26_final
2020-07-26 11:51:56	ga_ls8c_ard_3-1-0_115077_2020-07-26_final
2020-07-26 11:52:20	ga_ls8c_ard_3-1-0_115078_2020-07-26_final
2020-07-26 11:52:44	ga_ls8c_ard_3-1-0_115079_2020-07-26_final
2020-07-27 10:53:31	ga_ls8c_ard_3-1-0_106070_2020-07-27_final
2020-07-27 10:55:31	ga_ls8c_ard_3-1-0_106075_2020-07-27_final
2020-07-28 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-07-28_final
2020-07-30 11:27:13	ga_ls8c_ard_3-1-0_111077_2020-07-30_final
2020-08-01 09:39:35	ga_ls8c_ard_3-1-0_093086_2020-08-01_final
2020-08-01 11:10:53	ga_ls8c_ard_3-1-0_109067_2020-08-01_final
2020-08-01 11:11:41	ga_ls8c_ard_3-1-0_109069_2020-08-01_final
2020-08-01 11:12:05	ga_ls8c_ard_3-1-0_109070_2020-08-01_final
2020-08-01 11:18:04	ga_ls8c_ard_3-1-0_109085_2020-08-01_final
2020-08-04 11:46:59	ga_ls8c_ard_3-1-0_114080_2020-08-04_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2020-08-26 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-08-25_final
2020-08-26 09:27:34	ga_ls8c_ard_3-1-0_092071_2020-08-25_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-26 09:28:22	ga_ls8c_ard_3-1-0_092073_2020-08-25_final
2020-08-26 09:28:46	ga_ls8c_ard_3-1-0_092074_2020-08-25_final
2020-08-26 09:29:10	ga_ls8c_ard_3-1-0_092075_2020-08-25_final
2020-08-26 09:29:34	ga_ls8c_ard_3-1-0_092076_2020-08-25_final
2020-08-26 09:29:58	ga_ls8c_ard_3-1-0_092077_2020-08-25_final
2020-08-26 09:30:22	ga_ls8c_ard_3-1-0_092078_2020-08-26_final
2020-08-26 09:30:46	ga_ls8c_ard_3-1-0_092079_2020-08-26_final
2020-08-26 09:31:10	ga_ls8c_ard_3-1-0_092080_2020-08-26_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