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

First 100 results (query limit)

Time (local)	Label
2023-05-10 09:56:25	ga_ls9c_ard_3-2-1_097067_2023-05-10_final.stac-item
2023-05-10 09:56:49	ga_ls9c_ard_3-2-1_097068_2023-05-10_final.stac-item
2023-05-10 09:58:49	ga_ls9c_ard_3-2-1_097073_2023-05-10_final.stac-item
2023-05-10 09:59:13	ga_ls9c_ard_3-2-1_097074_2023-05-10_final.stac-item
2023-05-10 09:59:37	ga_ls9c_ard_3-2-1_097075_2023-05-10_final.stac-item
2023-05-10 10:00:00	ga_ls9c_ard_3-2-1_097076_2023-05-10_final.stac-item
2023-05-10 10:00:24	ga_ls9c_ard_3-2-1_097077_2023-05-10_final.stac-item
2023-05-10 10:00:48	ga_ls9c_ard_3-2-1_097078_2023-05-10_final.stac-item
2023-05-10 10:01:12	ga_ls9c_ard_3-2-1_097079_2023-05-10_final.stac-item
2023-05-10 10:01:36	ga_ls9c_ard_3-2-1_097080_2023-05-10_final.stac-item
2023-05-10 10:02:00	ga_ls9c_ard_3-2-1_097081_2023-05-10_final.stac-item
2023-05-10 10:02:24	ga_ls9c_ard_3-2-1_097082_2023-05-10_final.stac-item
2023-05-10 10:02:48	ga_ls9c_ard_3-2-1_097083_2023-05-10_final.stac-item
2023-05-10 10:03:12	ga_ls9c_ard_3-2-1_097084_2023-05-10_final.stac-item
2023-05-10 10:03:36	ga_ls9c_ard_3-2-1_097085_2023-05-10_final.stac-item
2023-05-10 11:37:18	ga_ls9c_ard_3-2-1_113072_2023-05-10_final.stac-item
2023-05-10 11:37:42	ga_ls9c_ard_3-2-1_113073_2023-05-10_final.stac-item
2023-05-10 11:38:30	ga_ls9c_ard_3-2-1_113075_2023-05-10_final.stac-item
2023-05-10 11:38:54	ga_ls9c_ard_3-2-1_113076_2023-05-10_final.stac-item
2023-05-10 11:39:17	ga_ls9c_ard_3-2-1_113077_2023-05-10_final.stac-item
2023-05-10 11:39:41	ga_ls9c_ard_3-2-1_113078_2023-05-10_final.stac-item
2023-05-10 11:40:05	ga_ls9c_ard_3-2-1_113079_2023-05-10_final.stac-item
2023-05-10 11:40:29	ga_ls9c_ard_3-2-1_113080_2023-05-10_final.stac-item
2023-05-10 11:41:17	ga_ls9c_ard_3-2-1_113082_2023-05-10_final.stac-item
2023-05-11 09:05:59	ga_ls9c_ard_3-2-1_088080_2023-05-10_final.stac-item
2023-05-11 10:40:04	ga_ls9c_ard_3-2-1_104068_2023-05-11_final.stac-item
2023-05-11 10:40:28	ga_ls9c_ard_3-2-1_104069_2023-05-11_final.stac-item
2023-05-11 10:40:52	ga_ls9c_ard_3-2-1_104070_2023-05-11_final.stac-item
2023-05-11 10:41:16	ga_ls9c_ard_3-2-1_104071_2023-05-11_final.stac-item
2023-05-11 10:41:40	ga_ls9c_ard_3-2-1_104072_2023-05-11_final.stac-item
2023-05-11 10:42:28	ga_ls9c_ard_3-2-1_104074_2023-05-11_final.stac-item
2023-05-11 10:42:52	ga_ls9c_ard_3-2-1_104075_2023-05-11_final.stac-item
2023-05-11 10:44:04	ga_ls9c_ard_3-2-1_104078_2023-05-11_final.stac-item
2023-05-11 10:44:28	ga_ls9c_ard_3-2-1_104079_2023-05-11_final.stac-item
2023-05-11 10:45:16	ga_ls9c_ard_3-2-1_104081_2023-05-11_final.stac-item
2023-05-11 10:45:40	ga_ls9c_ard_3-2-1_104082_2023-05-11_final.stac-item
2023-05-12 09:46:26	ga_ls9c_ard_3-2-1_095073_2023-05-12_final.stac-item
2023-05-12 09:46:50	ga_ls9c_ard_3-2-1_095074_2023-05-12_final.stac-item
2023-05-12 09:47:14	ga_ls9c_ard_3-2-1_095075_2023-05-12_final.stac-item
2023-05-12 09:47:38	ga_ls9c_ard_3-2-1_095076_2023-05-12_final.stac-item
2023-05-12 09:48:02	ga_ls9c_ard_3-2-1_095077_2023-05-12_final.stac-item
2023-05-12 09:48:26	ga_ls9c_ard_3-2-1_095078_2023-05-12_final.stac-item
2023-05-12 09:48:50	ga_ls9c_ard_3-2-1_095079_2023-05-12_final.stac-item
2023-05-12 09:49:14	ga_ls9c_ard_3-2-1_095080_2023-05-12_final.stac-item
2023-05-12 09:49:38	ga_ls9c_ard_3-2-1_095081_2023-05-12_final.stac-item
2023-05-12 09:50:02	ga_ls9c_ard_3-2-1_095082_2023-05-12_final.stac-item
2023-05-12 09:50:26	ga_ls9c_ard_3-2-1_095083_2023-05-12_final.stac-item
2023-05-12 09:50:50	ga_ls9c_ard_3-2-1_095084_2023-05-12_final.stac-item
2023-05-12 09:51:14	ga_ls9c_ard_3-2-1_095085_2023-05-12_final.stac-item
2023-05-12 09:51:38	ga_ls9c_ard_3-2-1_095086_2023-05-12_final.stac-item
2023-05-12 09:52:02	ga_ls9c_ard_3-2-1_095087_2023-05-12_final.stac-item
2023-05-12 11:23:20	ga_ls9c_ard_3-2-1_111068_2023-05-12_final.stac-item
2023-05-12 11:23:44	ga_ls9c_ard_3-2-1_111069_2023-05-12_final.stac-item
2023-05-12 11:24:08	ga_ls9c_ard_3-2-1_111070_2023-05-12_final.stac-item
2023-05-12 11:25:43	ga_ls9c_ard_3-2-1_111074_2023-05-12_final.stac-item
2023-05-12 11:26:07	ga_ls9c_ard_3-2-1_111075_2023-05-12_final.stac-item
2023-05-12 11:26:55	ga_ls9c_ard_3-2-1_111077_2023-05-12_final.stac-item
2023-05-12 11:27:19	ga_ls9c_ard_3-2-1_111078_2023-05-12_final.stac-item
2023-05-12 11:27:43	ga_ls9c_ard_3-2-1_111079_2023-05-12_final.stac-item
2023-05-12 11:28:07	ga_ls9c_ard_3-2-1_111080_2023-05-12_final.stac-item
2023-05-12 11:28:55	ga_ls9c_ard_3-2-1_111082_2023-05-12_final.stac-item
2023-05-12 11:29:19	ga_ls9c_ard_3-2-1_111083_2023-05-12_final.stac-item
2023-05-12 11:29:43	ga_ls9c_ard_3-2-1_111084_2023-05-12_final.stac-item
2023-05-13 10:28:30	ga_ls9c_ard_3-2-1_102070_2023-05-13_final.stac-item
2023-05-13 10:29:18	ga_ls9c_ard_3-2-1_102072_2023-05-13_final.stac-item
2023-05-13 10:30:06	ga_ls9c_ard_3-2-1_102074_2023-05-13_final.stac-item
2023-05-13 10:30:30	ga_ls9c_ard_3-2-1_102075_2023-05-13_final.stac-item
2023-05-13 10:30:54	ga_ls9c_ard_3-2-1_102076_2023-05-13_final.stac-item
2023-05-13 10:31:18	ga_ls9c_ard_3-2-1_102077_2023-05-13_final.stac-item
2023-05-13 10:31:41	ga_ls9c_ard_3-2-1_102078_2023-05-13_final.stac-item
2023-05-13 10:32:05	ga_ls9c_ard_3-2-1_102079_2023-05-13_final.stac-item
2023-05-13 10:32:29	ga_ls9c_ard_3-2-1_102080_2023-05-13_final.stac-item
2023-05-13 10:32:53	ga_ls9c_ard_3-2-1_102081_2023-05-13_final.stac-item
2023-05-13 10:33:17	ga_ls9c_ard_3-2-1_102082_2023-05-13_final.stac-item
2023-05-14 09:33:16	ga_ls9c_ard_3-2-1_093071_2023-05-14_final.stac-item
2023-05-14 09:33:40	ga_ls9c_ard_3-2-1_093072_2023-05-14_final.stac-item
2023-05-14 09:34:04	ga_ls9c_ard_3-2-1_093073_2023-05-14_final.stac-item
2023-05-14 09:34:28	ga_ls9c_ard_3-2-1_093074_2023-05-14_final.stac-item
2023-05-14 09:34:52	ga_ls9c_ard_3-2-1_093075_2023-05-14_final.stac-item
2023-05-14 09:35:16	ga_ls9c_ard_3-2-1_093076_2023-05-14_final.stac-item
2023-05-14 09:36:04	ga_ls9c_ard_3-2-1_093078_2023-05-14_final.stac-item
2023-05-14 09:36:28	ga_ls9c_ard_3-2-1_093079_2023-05-14_final.stac-item
2023-05-14 09:36:52	ga_ls9c_ard_3-2-1_093080_2023-05-14_final.stac-item
2023-05-14 09:37:39	ga_ls9c_ard_3-2-1_093082_2023-05-14_final.stac-item
2023-05-14 09:38:03	ga_ls9c_ard_3-2-1_093083_2023-05-14_final.stac-item
2023-05-14 09:38:27	ga_ls9c_ard_3-2-1_093084_2023-05-14_final.stac-item
2023-05-14 09:38:51	ga_ls9c_ard_3-2-1_093085_2023-05-14_final.stac-item
2023-05-14 09:39:39	ga_ls9c_ard_3-2-1_093087_2023-05-14_final.stac-item
2023-05-14 09:40:03	ga_ls9c_ard_3-2-1_093088_2023-05-14_final.stac-item
2023-05-14 11:11:45	ga_ls9c_ard_3-2-1_109070_2023-05-14_final.stac-item
2023-05-14 11:12:09	ga_ls9c_ard_3-2-1_109071_2023-05-14_final.stac-item
2023-05-14 11:12:33	ga_ls9c_ard_3-2-1_109072_2023-05-14_final.stac-item
2023-05-14 11:12:57	ga_ls9c_ard_3-2-1_109073_2023-05-14_final.stac-item
2023-05-14 11:13:21	ga_ls9c_ard_3-2-1_109074_2023-05-14_final.stac-item
2023-05-14 11:13:45	ga_ls9c_ard_3-2-1_109075_2023-05-14_final.stac-item
2023-05-14 11:14:09	ga_ls9c_ard_3-2-1_109076_2023-05-14_final.stac-item
2023-05-14 11:14:33	ga_ls9c_ard_3-2-1_109077_2023-05-14_final.stac-item
2023-05-14 11:14:57	ga_ls9c_ard_3-2-1_109078_2023-05-14_final.stac-item
2023-05-14 11:15:21	ga_ls9c_ard_3-2-1_109079_2023-05-14_final.stac-item
2023-05-14 11:16:32	ga_ls9c_ard_3-2-1_109082_2023-05-14_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years