Search ga_ls9c_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

75 results

Time (local)	Label
2023-03-05 10:09:45	ga_ls9c_ard_3-2-1_099068_2023-03-05_final.stac-item
2023-03-05 10:10:33	ga_ls9c_ard_3-2-1_099070_2023-03-05_final.stac-item
2023-03-05 10:10:57	ga_ls9c_ard_3-2-1_099071_2023-03-05_final.stac-item
2023-03-05 10:11:21	ga_ls9c_ard_3-2-1_099072_2023-03-05_final.stac-item
2023-03-05 10:13:44	ga_ls9c_ard_3-2-1_099078_2023-03-05_final.stac-item
2023-03-05 10:16:08	ga_ls9c_ard_3-2-1_099084_2023-03-05_final.stac-item
2023-03-05 10:16:32	ga_ls9c_ard_3-2-1_099085_2023-03-05_final.stac-item
2023-03-05 11:51:26	ga_ls9c_ard_3-2-1_115075_2023-03-05_final.stac-item
2023-03-05 11:51:50	ga_ls9c_ard_3-2-1_115076_2023-03-05_final.stac-item
2023-03-05 11:52:13	ga_ls9c_ard_3-2-1_115077_2023-03-05_final.stac-item
2023-03-05 11:53:25	ga_ls9c_ard_3-2-1_115080_2023-03-05_final.stac-item
2023-03-06 09:16:30	ga_ls9c_ard_3-2-1_090074_2023-03-05_final.stac-item
2023-03-06 09:16:54	ga_ls9c_ard_3-2-1_090075_2023-03-05_final.stac-item
2023-03-06 09:18:06	ga_ls9c_ard_3-2-1_090078_2023-03-05_final.stac-item
2023-03-06 09:20:54	ga_ls9c_ard_3-2-1_090085_2023-03-05_final.stac-item
2023-03-06 10:54:35	ga_ls9c_ard_3-2-1_106072_2023-03-06_final.stac-item
2023-03-06 10:56:11	ga_ls9c_ard_3-2-1_106076_2023-03-06_final.stac-item
2023-03-06 10:56:35	ga_ls9c_ard_3-2-1_106077_2023-03-06_final.stac-item
2023-03-06 10:56:59	ga_ls9c_ard_3-2-1_106078_2023-03-06_final.stac-item
2023-03-06 10:57:23	ga_ls9c_ard_3-2-1_106079_2023-03-06_final.stac-item
2023-03-06 10:58:59	ga_ls9c_ard_3-2-1_106083_2023-03-06_final.stac-item
2023-03-07 09:56:57	ga_ls9c_ard_3-2-1_097067_2023-03-07_final.stac-item
2023-03-07 09:57:21	ga_ls9c_ard_3-2-1_097068_2023-03-07_final.stac-item
2023-03-07 09:58:57	ga_ls9c_ard_3-2-1_097072_2023-03-07_final.stac-item
2023-03-07 09:59:21	ga_ls9c_ard_3-2-1_097073_2023-03-07_final.stac-item
2023-03-07 09:59:45	ga_ls9c_ard_3-2-1_097074_2023-03-07_final.stac-item
2023-03-07 10:00:09	ga_ls9c_ard_3-2-1_097075_2023-03-07_final.stac-item
2023-03-07 10:01:45	ga_ls9c_ard_3-2-1_097079_2023-03-07_final.stac-item
2023-03-07 10:02:09	ga_ls9c_ard_3-2-1_097080_2023-03-07_final.stac-item
2023-03-07 11:42:13	ga_ls9c_ard_3-2-1_113083_2023-03-07_final.stac-item
2023-03-08 09:06:54	ga_ls9c_ard_3-2-1_088081_2023-03-07_final.stac-item
2023-03-08 10:41:00	ga_ls9c_ard_3-2-1_104069_2023-03-08_final.stac-item
2023-03-08 10:41:24	ga_ls9c_ard_3-2-1_104070_2023-03-08_final.stac-item
2023-03-08 10:42:59	ga_ls9c_ard_3-2-1_104074_2023-03-08_final.stac-item
2023-03-08 10:43:47	ga_ls9c_ard_3-2-1_104076_2023-03-08_final.stac-item
2023-03-08 10:44:35	ga_ls9c_ard_3-2-1_104078_2023-03-08_final.stac-item
2023-03-08 10:44:59	ga_ls9c_ard_3-2-1_104079_2023-03-08_final.stac-item
2023-03-08 10:45:23	ga_ls9c_ard_3-2-1_104080_2023-03-08_final.stac-item
2023-03-09 09:46:09	ga_ls9c_ard_3-2-1_095071_2023-03-09_final.stac-item
2023-03-09 09:46:33	ga_ls9c_ard_3-2-1_095072_2023-03-09_final.stac-item
2023-03-09 09:46:57	ga_ls9c_ard_3-2-1_095073_2023-03-09_final.stac-item
2023-03-09 09:47:45	ga_ls9c_ard_3-2-1_095075_2023-03-09_final.stac-item
2023-03-09 09:50:56	ga_ls9c_ard_3-2-1_095083_2023-03-09_final.stac-item
2023-03-09 09:51:44	ga_ls9c_ard_3-2-1_095085_2023-03-09_final.stac-item
2023-03-09 11:23:50	ga_ls9c_ard_3-2-1_111068_2023-03-09_final.stac-item
2023-03-09 11:25:02	ga_ls9c_ard_3-2-1_111071_2023-03-09_final.stac-item
2023-03-09 11:25:26	ga_ls9c_ard_3-2-1_111072_2023-03-09_final.stac-item
2023-03-09 11:26:14	ga_ls9c_ard_3-2-1_111074_2023-03-09_final.stac-item
2023-03-09 11:27:01	ga_ls9c_ard_3-2-1_111076_2023-03-09_final.stac-item
2023-03-09 11:28:13	ga_ls9c_ard_3-2-1_111079_2023-03-09_final.stac-item
2023-03-09 11:29:25	ga_ls9c_ard_3-2-1_111082_2023-03-09_final.stac-item
2023-03-09 11:29:49	ga_ls9c_ard_3-2-1_111083_2023-03-09_final.stac-item
2023-03-09 11:30:13	ga_ls9c_ard_3-2-1_111084_2023-03-09_final.stac-item
2023-03-10 10:30:12	ga_ls9c_ard_3-2-1_102073_2023-03-10_final.stac-item
2023-03-10 10:30:59	ga_ls9c_ard_3-2-1_102075_2023-03-10_final.stac-item
2023-03-10 10:31:23	ga_ls9c_ard_3-2-1_102076_2023-03-10_final.stac-item
2023-03-10 10:31:47	ga_ls9c_ard_3-2-1_102077_2023-03-10_final.stac-item
2023-03-10 10:32:11	ga_ls9c_ard_3-2-1_102078_2023-03-10_final.stac-item
2023-03-10 10:32:35	ga_ls9c_ard_3-2-1_102079_2023-03-10_final.stac-item
2023-03-10 10:33:47	ga_ls9c_ard_3-2-1_102082_2023-03-10_final.stac-item
2023-03-11 09:33:47	ga_ls9c_ard_3-2-1_093071_2023-03-11_final.stac-item
2023-03-11 09:34:11	ga_ls9c_ard_3-2-1_093072_2023-03-11_final.stac-item
2023-03-11 09:34:35	ga_ls9c_ard_3-2-1_093073_2023-03-11_final.stac-item
2023-03-11 09:35:23	ga_ls9c_ard_3-2-1_093075_2023-03-11_final.stac-item
2023-03-11 09:35:47	ga_ls9c_ard_3-2-1_093076_2023-03-11_final.stac-item
2023-03-11 09:38:10	ga_ls9c_ard_3-2-1_093082_2023-03-11_final.stac-item
2023-03-11 09:38:34	ga_ls9c_ard_3-2-1_093083_2023-03-11_final.stac-item
2023-03-11 09:38:58	ga_ls9c_ard_3-2-1_093084_2023-03-11_final.stac-item
2023-03-11 09:40:34	ga_ls9c_ard_3-2-1_093088_2023-03-11_final.stac-item
2023-03-11 11:12:16	ga_ls9c_ard_3-2-1_109070_2023-03-11_final.stac-item
2023-03-11 11:13:28	ga_ls9c_ard_3-2-1_109073_2023-03-11_final.stac-item
2023-03-11 11:14:40	ga_ls9c_ard_3-2-1_109076_2023-03-11_final.stac-item
2023-03-11 11:15:28	ga_ls9c_ard_3-2-1_109078_2023-03-11_final.stac-item
2023-03-11 11:16:39	ga_ls9c_ard_3-2-1_109081_2023-03-11_final.stac-item
2023-03-11 11:17:51	ga_ls9c_ard_3-2-1_109084_2023-03-11_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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