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
2020-05-09 11:37:02	ga_ls8c_ard_3-1-0_113072_2020-05-09_final
2020-05-09 11:37:50	ga_ls8c_ard_3-1-0_113074_2020-05-09_final
2020-05-09 11:38:14	ga_ls8c_ard_3-1-0_113075_2020-05-09_final
2020-05-09 11:40:14	ga_ls8c_ard_3-1-0_113080_2020-05-09_final
2020-05-10 09:05:20	ga_ls8c_ard_3-1-0_088079_2020-05-09_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_final
2020-05-11 09:45:00	ga_ls8c_ard_3-1-0_095070_2020-05-11_final
2020-05-11 09:45:24	ga_ls8c_ard_3-1-0_095071_2020-05-11_final
2020-05-11 09:46:12	ga_ls8c_ard_3-1-0_095073_2020-05-11_final
2020-05-11 09:46:36	ga_ls8c_ard_3-1-0_095074_2020-05-11_final
2020-05-11 09:47:24	ga_ls8c_ard_3-1-0_095076_2020-05-11_final
2020-05-11 09:47:48	ga_ls8c_ard_3-1-0_095077_2020-05-11_final
2020-05-11 09:48:12	ga_ls8c_ard_3-1-0_095078_2020-05-11_final
2020-05-11 09:48:36	ga_ls8c_ard_3-1-0_095079_2020-05-11_final
2020-05-11 09:49:00	ga_ls8c_ard_3-1-0_095080_2020-05-11_final
2020-05-11 09:49:24	ga_ls8c_ard_3-1-0_095081_2020-05-11_final
2020-05-11 09:50:59	ga_ls8c_ard_3-1-0_095085_2020-05-11_final
2020-05-11 11:25:53	ga_ls8c_ard_3-1-0_111075_2020-05-11_final
2020-05-11 11:26:41	ga_ls8c_ard_3-1-0_111077_2020-05-11_final
2020-05-11 11:27:29	ga_ls8c_ard_3-1-0_111079_2020-05-11_final
2020-05-13 11:11:32	ga_ls8c_ard_3-1-0_109070_2020-05-13_final
2020-05-13 11:14:44	ga_ls8c_ard_3-1-0_109078_2020-05-13_final
2020-05-13 11:15:08	ga_ls8c_ard_3-1-0_109079_2020-05-13_final
2020-05-13 11:16:20	ga_ls8c_ard_3-1-0_109082_2020-05-13_final
2020-05-13 11:16:43	ga_ls8c_ard_3-1-0_109083_2020-05-13_final
2020-05-14 11:56:48	ga_ls8c_ard_3-1-0_116075_2020-05-14_final
2020-05-15 10:59:35	ga_ls8c_ard_3-1-0_107071_2020-05-15_final
2020-05-15 11:04:46	ga_ls8c_ard_3-1-0_107084_2020-05-15_final
2020-05-15 11:05:10	ga_ls8c_ard_3-1-0_107085_2020-05-15_final
2020-05-16 11:44:03	ga_ls8c_ard_3-1-0_114074_2020-05-16_final
2020-05-16 11:46:50	ga_ls8c_ard_3-1-0_114081_2020-05-16_final
2020-05-18 11:28:54	ga_ls8c_ard_3-1-0_112067_2020-05-18_final
2020-05-18 11:30:30	ga_ls8c_ard_3-1-0_112071_2020-05-18_final
2020-05-18 11:33:41	ga_ls8c_ard_3-1-0_112079_2020-05-18_final
2020-05-18 11:34:05	ga_ls8c_ard_3-1-0_112080_2020-05-18_final
2020-05-18 11:34:29	ga_ls8c_ard_3-1-0_112081_2020-05-18_final
2020-05-20 09:40:27	ga_ls8c_ard_3-1-0_094074_2020-05-20_final
2020-05-20 09:40:51	ga_ls8c_ard_3-1-0_094075_2020-05-20_final
2020-05-20 09:41:15	ga_ls8c_ard_3-1-0_094076_2020-05-20_final
2020-05-20 09:42:27	ga_ls8c_ard_3-1-0_094079_2020-05-20_final
2020-05-20 09:43:39	ga_ls8c_ard_3-1-0_094082_2020-05-20_final
2020-05-20 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-20_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2020-05-20 11:18:33	ga_ls8c_ard_3-1-0_110072_2020-05-20_final
2020-05-20 11:19:20	ga_ls8c_ard_3-1-0_110074_2020-05-20_final
2020-05-20 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-20_final
2020-05-20 11:20:32	ga_ls8c_ard_3-1-0_110077_2020-05-20_final
2020-05-20 11:20:56	ga_ls8c_ard_3-1-0_110078_2020-05-20_final
2020-05-20 11:22:08	ga_ls8c_ard_3-1-0_110081_2020-05-20_final
2020-05-22 11:04:59	ga_ls8c_ard_3-1-0_108069_2020-05-22_final
2020-05-22 11:05:23	ga_ls8c_ard_3-1-0_108070_2020-05-22_final
2020-05-22 11:06:59	ga_ls8c_ard_3-1-0_108074_2020-05-22_final
2020-05-22 11:09:23	ga_ls8c_ard_3-1-0_108080_2020-05-22_final
2020-05-22 11:10:11	ga_ls8c_ard_3-1-0_108082_2020-05-22_final
2020-05-23 11:50:39	ga_ls8c_ard_3-1-0_115075_2020-05-23_final
2020-05-25 11:37:06	ga_ls8c_ard_3-1-0_113072_2020-05-25_final
2020-05-25 11:37:54	ga_ls8c_ard_3-1-0_113074_2020-05-25_final
2020-05-25 11:38:42	ga_ls8c_ard_3-1-0_113076_2020-05-25_final
2020-05-25 11:39:54	ga_ls8c_ard_3-1-0_113079_2020-05-25_final
2020-05-26 09:05:23	ga_ls8c_ard_3-1-0_088079_2020-05-25_final
2020-05-26 09:06:35	ga_ls8c_ard_3-1-0_088082_2020-05-25_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_final
2020-05-27 09:43:52	ga_ls8c_ard_3-1-0_095067_2020-05-27_final
2020-05-27 09:45:04	ga_ls8c_ard_3-1-0_095070_2020-05-27_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-05-27 09:47:03	ga_ls8c_ard_3-1-0_095075_2020-05-27_final
2020-05-27 09:48:15	ga_ls8c_ard_3-1-0_095078_2020-05-27_final
2020-05-27 09:48:39	ga_ls8c_ard_3-1-0_095079_2020-05-27_final
2020-05-27 09:49:03	ga_ls8c_ard_3-1-0_095080_2020-05-27_final
2020-05-27 09:49:27	ga_ls8c_ard_3-1-0_095081_2020-05-27_final
2020-05-27 09:49:51	ga_ls8c_ard_3-1-0_095082_2020-05-27_final
2020-05-27 09:51:51	ga_ls8c_ard_3-1-0_095087_2020-05-27_final
2020-05-27 09:52:15	ga_ls8c_ard_3-1-0_095088_2020-05-27_final
2020-05-27 11:24:21	ga_ls8c_ard_3-1-0_111071_2020-05-27_final
2020-05-27 11:25:56	ga_ls8c_ard_3-1-0_111075_2020-05-27_final
2020-05-27 11:26:44	ga_ls8c_ard_3-1-0_111077_2020-05-27_final
2020-05-27 11:27:32	ga_ls8c_ard_3-1-0_111079_2020-05-27_final
2020-05-27 11:27:56	ga_ls8c_ard_3-1-0_111080_2020-05-27_final
2020-05-27 11:28:44	ga_ls8c_ard_3-1-0_111082_2020-05-27_final
2020-05-27 11:29:08	ga_ls8c_ard_3-1-0_111083_2020-05-27_final
2020-05-29 11:11:35	ga_ls8c_ard_3-1-0_109070_2020-05-29_final
2020-05-29 11:14:47	ga_ls8c_ard_3-1-0_109078_2020-05-29_final
2020-05-29 11:15:11	ga_ls8c_ard_3-1-0_109079_2020-05-29_final
2020-05-29 11:16:23	ga_ls8c_ard_3-1-0_109082_2020-05-29_final
2020-05-30 11:56:52	ga_ls8c_ard_3-1-0_116075_2020-05-30_final
2020-05-30 11:57:16	ga_ls8c_ard_3-1-0_116076_2020-05-30_final
2020-05-30 11:57:40	ga_ls8c_ard_3-1-0_116077_2020-05-30_final
2020-05-31 11:02:03	ga_ls8c_ard_3-1-0_107077_2020-05-31_final
2020-05-31 11:04:50	ga_ls8c_ard_3-1-0_107084_2020-05-31_final
2020-05-31 11:05:14	ga_ls8c_ard_3-1-0_107085_2020-05-31_final
2020-06-01 11:41:20	ga_ls8c_ard_3-1-0_114067_2020-06-01_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-06-01 11:46:55	ga_ls8c_ard_3-1-0_114081_2020-06-01_final
2020-06-03 11:29:00	ga_ls8c_ard_3-1-0_112067_2020-06-03_final
2020-06-03 11:30:35	ga_ls8c_ard_3-1-0_112071_2020-06-03_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-03 11:33:47	ga_ls8c_ard_3-1-0_112079_2020-06-03_final
2020-06-03 11:34:11	ga_ls8c_ard_3-1-0_112080_2020-06-03_final
2020-06-03 11:34:35	ga_ls8c_ard_3-1-0_112081_2020-06-03_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