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:

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First 100 results (query limit)

Time (local)	Label
2023-12-29 11:32:59	ga_ls9c_ard_3-2-1_112075_2023-12-29_nrt.stac-item
2024-04-09 10:52:46	ga_ls9c_ard_3-2-1_106068_2024-04-09_nrt.stac-item
2024-04-09 10:53:10	ga_ls9c_ard_3-2-1_106069_2024-04-09_nrt.stac-item
2024-04-09 10:53:33	ga_ls9c_ard_3-2-1_106070_2024-04-09_nrt.stac-item
2024-04-09 10:53:57	ga_ls9c_ard_3-2-1_106071_2024-04-09_nrt.stac-item
2024-04-09 10:54:21	ga_ls9c_ard_3-2-1_106072_2024-04-09_nrt.stac-item
2024-04-09 10:54:45	ga_ls9c_ard_3-2-1_106073_2024-04-09_nrt.stac-item
2024-04-09 10:55:09	ga_ls9c_ard_3-2-1_106074_2024-04-09_nrt.stac-item
2024-04-09 10:55:33	ga_ls9c_ard_3-2-1_106075_2024-04-09_nrt.stac-item
2024-04-09 10:55:57	ga_ls9c_ard_3-2-1_106076_2024-04-09_nrt.stac-item
2024-04-09 10:56:21	ga_ls9c_ard_3-2-1_106077_2024-04-09_nrt.stac-item
2024-04-09 10:56:45	ga_ls9c_ard_3-2-1_106078_2024-04-09_nrt.stac-item
2024-04-09 10:57:09	ga_ls9c_ard_3-2-1_106079_2024-04-09_nrt.stac-item
2024-04-09 10:57:33	ga_ls9c_ard_3-2-1_106080_2024-04-09_nrt.stac-item
2024-04-09 10:57:57	ga_ls9c_ard_3-2-1_106081_2024-04-09_nrt.stac-item
2024-04-09 10:58:21	ga_ls9c_ard_3-2-1_106082_2024-04-09_nrt.stac-item
2024-04-09 10:58:45	ga_ls9c_ard_3-2-1_106083_2024-04-09_nrt.stac-item
2024-04-10 09:56:44	ga_ls9c_ard_3-2-1_097067_2024-04-10_nrt.stac-item
2024-04-10 09:57:08	ga_ls9c_ard_3-2-1_097068_2024-04-10_nrt.stac-item
2024-04-10 09:57:32	ga_ls9c_ard_3-2-1_097069_2024-04-10_nrt.stac-item
2024-04-10 09:57:56	ga_ls9c_ard_3-2-1_097070_2024-04-10_nrt.stac-item
2024-04-10 09:58:19	ga_ls9c_ard_3-2-1_097071_2024-04-10_nrt.stac-item
2024-04-10 09:58:43	ga_ls9c_ard_3-2-1_097072_2024-04-10_nrt.stac-item
2024-04-10 09:59:55	ga_ls9c_ard_3-2-1_097075_2024-04-10_nrt.stac-item
2024-04-10 10:00:19	ga_ls9c_ard_3-2-1_097076_2024-04-10_nrt.stac-item
2024-04-10 10:00:43	ga_ls9c_ard_3-2-1_097077_2024-04-10_nrt.stac-item
2024-04-10 10:01:07	ga_ls9c_ard_3-2-1_097078_2024-04-10_nrt.stac-item
2024-04-10 10:01:55	ga_ls9c_ard_3-2-1_097080_2024-04-10_nrt.stac-item
2024-04-10 10:02:19	ga_ls9c_ard_3-2-1_097081_2024-04-10_nrt.stac-item
2024-04-10 10:02:43	ga_ls9c_ard_3-2-1_097082_2024-04-10_nrt.stac-item
2024-04-10 10:03:07	ga_ls9c_ard_3-2-1_097083_2024-04-10_nrt.stac-item
2024-04-10 10:03:31	ga_ls9c_ard_3-2-1_097084_2024-04-10_nrt.stac-item
2024-04-10 10:03:55	ga_ls9c_ard_3-2-1_097085_2024-04-10_nrt.stac-item
2024-04-10 11:37:36	ga_ls9c_ard_3-2-1_113072_2024-04-10_nrt.stac-item
2024-04-10 11:38:00	ga_ls9c_ard_3-2-1_113073_2024-04-10_nrt.stac-item
2024-04-10 11:38:24	ga_ls9c_ard_3-2-1_113074_2024-04-10_nrt.stac-item
2024-04-10 11:39:36	ga_ls9c_ard_3-2-1_113077_2024-04-10_nrt.stac-item
2024-04-10 11:40:00	ga_ls9c_ard_3-2-1_113078_2024-04-10_nrt.stac-item
2024-04-10 11:40:24	ga_ls9c_ard_3-2-1_113079_2024-04-10_nrt.stac-item
2024-04-10 11:40:48	ga_ls9c_ard_3-2-1_113080_2024-04-10_nrt.stac-item
2024-04-10 11:41:12	ga_ls9c_ard_3-2-1_113081_2024-04-10_nrt.stac-item
2024-04-10 11:41:36	ga_ls9c_ard_3-2-1_113082_2024-04-10_nrt.stac-item
2024-04-10 11:42:00	ga_ls9c_ard_3-2-1_113083_2024-04-10_nrt.stac-item
2024-04-11 09:06:41	ga_ls9c_ard_3-2-1_088081_2024-04-10_nrt.stac-item
2024-04-11 09:07:05	ga_ls9c_ard_3-2-1_088082_2024-04-10_nrt.stac-item
2024-04-11 09:07:29	ga_ls9c_ard_3-2-1_088083_2024-04-10_nrt.stac-item
2024-04-11 10:40:47	ga_ls9c_ard_3-2-1_104069_2024-04-11_nrt.stac-item
2024-04-11 10:41:58	ga_ls9c_ard_3-2-1_104072_2024-04-11_nrt.stac-item
2024-04-11 10:42:46	ga_ls9c_ard_3-2-1_104074_2024-04-11_nrt.stac-item
2024-04-11 10:43:10	ga_ls9c_ard_3-2-1_104075_2024-04-11_nrt.stac-item
2024-04-11 10:43:58	ga_ls9c_ard_3-2-1_104077_2024-04-11_nrt.stac-item
2024-04-11 10:44:22	ga_ls9c_ard_3-2-1_104078_2024-04-11_nrt.stac-item
2024-04-12 09:45:56	ga_ls9c_ard_3-2-1_095071_2024-04-12_nrt.stac-item
2024-04-12 09:46:20	ga_ls9c_ard_3-2-1_095072_2024-04-12_nrt.stac-item
2024-04-12 09:46:44	ga_ls9c_ard_3-2-1_095073_2024-04-12_nrt.stac-item
2024-04-12 09:47:08	ga_ls9c_ard_3-2-1_095074_2024-04-12_nrt.stac-item
2024-04-12 09:47:32	ga_ls9c_ard_3-2-1_095075_2024-04-12_nrt.stac-item
2024-04-12 09:47:56	ga_ls9c_ard_3-2-1_095076_2024-04-12_nrt.stac-item
2024-04-12 09:48:20	ga_ls9c_ard_3-2-1_095077_2024-04-12_nrt.stac-item
2024-04-12 09:48:44	ga_ls9c_ard_3-2-1_095078_2024-04-12_nrt.stac-item
2024-04-12 09:49:08	ga_ls9c_ard_3-2-1_095079_2024-04-12_nrt.stac-item
2024-04-12 09:49:32	ga_ls9c_ard_3-2-1_095080_2024-04-12_nrt.stac-item
2024-04-12 09:49:56	ga_ls9c_ard_3-2-1_095081_2024-04-12_nrt.stac-item
2024-04-12 09:50:20	ga_ls9c_ard_3-2-1_095082_2024-04-12_nrt.stac-item
2024-04-12 09:50:44	ga_ls9c_ard_3-2-1_095083_2024-04-12_nrt.stac-item
2024-04-12 09:51:08	ga_ls9c_ard_3-2-1_095084_2024-04-12_nrt.stac-item
2024-04-12 09:51:32	ga_ls9c_ard_3-2-1_095085_2024-04-12_nrt.stac-item
2024-04-12 09:51:56	ga_ls9c_ard_3-2-1_095086_2024-04-12_nrt.stac-item
2024-04-12 09:52:20	ga_ls9c_ard_3-2-1_095087_2024-04-12_nrt.stac-item
2024-04-12 11:23:38	ga_ls9c_ard_3-2-1_111068_2024-04-12_nrt.stac-item
2024-04-12 11:24:02	ga_ls9c_ard_3-2-1_111069_2024-04-12_nrt.stac-item
2024-04-12 11:24:25	ga_ls9c_ard_3-2-1_111070_2024-04-12_nrt.stac-item
2024-04-12 11:24:49	ga_ls9c_ard_3-2-1_111071_2024-04-12_nrt.stac-item
2024-04-12 11:25:13	ga_ls9c_ard_3-2-1_111072_2024-04-12_nrt.stac-item
2024-04-12 11:25:37	ga_ls9c_ard_3-2-1_111073_2024-04-12_nrt.stac-item
2024-04-12 11:26:01	ga_ls9c_ard_3-2-1_111074_2024-04-12_nrt.stac-item
2024-04-12 11:26:25	ga_ls9c_ard_3-2-1_111075_2024-04-12_nrt.stac-item
2024-04-12 11:26:49	ga_ls9c_ard_3-2-1_111076_2024-04-12_nrt.stac-item
2024-04-12 11:27:13	ga_ls9c_ard_3-2-1_111077_2024-04-12_nrt.stac-item
2024-04-12 11:27:37	ga_ls9c_ard_3-2-1_111078_2024-04-12_nrt.stac-item
2024-04-12 11:28:01	ga_ls9c_ard_3-2-1_111079_2024-04-12_nrt.stac-item
2024-04-12 11:28:25	ga_ls9c_ard_3-2-1_111080_2024-04-12_nrt.stac-item
2024-04-12 11:28:49	ga_ls9c_ard_3-2-1_111081_2024-04-12_nrt.stac-item
2024-04-12 11:29:13	ga_ls9c_ard_3-2-1_111082_2024-04-12_nrt.stac-item
2024-04-12 11:29:37	ga_ls9c_ard_3-2-1_111083_2024-04-12_nrt.stac-item
2024-04-12 11:30:01	ga_ls9c_ard_3-2-1_111084_2024-04-12_nrt.stac-item
2024-04-14 09:35:33	ga_ls9c_ard_3-2-1_093076_2024-04-14_nrt.stac-item
2024-04-14 09:38:44	ga_ls9c_ard_3-2-1_093084_2024-04-14_nrt.stac-item
2024-04-14 11:11:38	ga_ls9c_ard_3-2-1_109069_2024-04-14_nrt.stac-item
2024-04-14 11:12:02	ga_ls9c_ard_3-2-1_109070_2024-04-14_nrt.stac-item
2024-04-14 11:12:26	ga_ls9c_ard_3-2-1_109071_2024-04-14_nrt.stac-item
2024-04-14 11:13:14	ga_ls9c_ard_3-2-1_109073_2024-04-14_nrt.stac-item
2024-04-14 11:14:02	ga_ls9c_ard_3-2-1_109075_2024-04-14_nrt.stac-item
2024-04-14 11:14:26	ga_ls9c_ard_3-2-1_109076_2024-04-14_nrt.stac-item
2024-04-14 11:14:50	ga_ls9c_ard_3-2-1_109077_2024-04-14_nrt.stac-item
2024-04-14 11:15:14	ga_ls9c_ard_3-2-1_109078_2024-04-14_nrt.stac-item
2024-04-14 11:15:38	ga_ls9c_ard_3-2-1_109079_2024-04-14_nrt.stac-item
2024-04-14 11:16:25	ga_ls9c_ard_3-2-1_109081_2024-04-14_nrt.stac-item
2024-04-14 11:16:49	ga_ls9c_ard_3-2-1_109082_2024-04-14_nrt.stac-item
2024-04-14 11:17:13	ga_ls9c_ard_3-2-1_109083_2024-04-14_nrt.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

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