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
2024-03-12 10:33:02	ga_ls9c_ard_3-2-1_102080_2024-03-12_final.stac-item
2024-03-13 09:34:12	ga_ls9c_ard_3-2-1_093072_2024-03-13_final.stac-item
2024-03-13 09:34:36	ga_ls9c_ard_3-2-1_093073_2024-03-13_final.stac-item
2024-03-13 09:35:24	ga_ls9c_ard_3-2-1_093075_2024-03-13_final.stac-item
2024-03-13 09:35:48	ga_ls9c_ard_3-2-1_093076_2024-03-13_final.stac-item
2024-03-13 11:17:29	ga_ls9c_ard_3-2-1_109083_2024-03-13_final.stac-item
2024-03-13 11:17:53	ga_ls9c_ard_3-2-1_109084_2024-03-13_final.stac-item
2024-03-14 10:17:28	ga_ls9c_ard_3-2-1_100072_2024-03-14_final.stac-item
2024-03-14 10:18:15	ga_ls9c_ard_3-2-1_100074_2024-03-14_final.stac-item
2024-03-14 10:18:39	ga_ls9c_ard_3-2-1_100075_2024-03-14_final.stac-item
2024-03-14 10:19:03	ga_ls9c_ard_3-2-1_100076_2024-03-14_final.stac-item
2024-03-14 10:20:15	ga_ls9c_ard_3-2-1_100079_2024-03-14_final.stac-item
2024-03-14 10:21:03	ga_ls9c_ard_3-2-1_100081_2024-03-14_final.stac-item
2024-03-14 10:21:51	ga_ls9c_ard_3-2-1_100083_2024-03-14_final.stac-item
2024-03-15 09:21:50	ga_ls9c_ard_3-2-1_091072_2024-03-14_final.stac-item
2024-03-15 09:22:38	ga_ls9c_ard_3-2-1_091074_2024-03-14_final.stac-item
2024-03-15 09:23:02	ga_ls9c_ard_3-2-1_091075_2024-03-14_final.stac-item
2024-03-15 09:23:26	ga_ls9c_ard_3-2-1_091076_2024-03-14_final.stac-item
2024-03-15 09:23:50	ga_ls9c_ard_3-2-1_091077_2024-03-14_final.stac-item
2024-03-15 09:24:38	ga_ls9c_ard_3-2-1_091079_2024-03-14_final.stac-item
2024-03-15 09:25:02	ga_ls9c_ard_3-2-1_091080_2024-03-14_final.stac-item
2024-03-15 09:26:14	ga_ls9c_ard_3-2-1_091083_2024-03-14_final.stac-item
2024-03-15 09:26:38	ga_ls9c_ard_3-2-1_091084_2024-03-14_final.stac-item
2024-03-15 09:27:02	ga_ls9c_ard_3-2-1_091085_2024-03-14_final.stac-item
2024-03-15 09:27:26	ga_ls9c_ard_3-2-1_091086_2024-03-14_final.stac-item
2024-03-15 09:28:37	ga_ls9c_ard_3-2-1_091089_2024-03-14_final.stac-item
2024-03-15 09:29:01	ga_ls9c_ard_3-2-1_091090_2024-03-14_final.stac-item
2024-03-15 11:00:43	ga_ls9c_ard_3-2-1_107072_2024-03-15_final.stac-item
2024-03-15 11:01:07	ga_ls9c_ard_3-2-1_107073_2024-03-15_final.stac-item
2024-03-15 11:01:55	ga_ls9c_ard_3-2-1_107075_2024-03-15_final.stac-item
2024-03-15 11:02:19	ga_ls9c_ard_3-2-1_107076_2024-03-15_final.stac-item
2024-03-15 11:03:07	ga_ls9c_ard_3-2-1_107078_2024-03-15_final.stac-item
2024-03-15 11:03:31	ga_ls9c_ard_3-2-1_107079_2024-03-15_final.stac-item
2024-03-16 10:03:30	ga_ls9c_ard_3-2-1_098068_2024-03-16_final.stac-item
2024-03-16 10:04:18	ga_ls9c_ard_3-2-1_098070_2024-03-16_final.stac-item
2024-03-16 10:05:06	ga_ls9c_ard_3-2-1_098072_2024-03-16_final.stac-item
2024-03-16 10:05:30	ga_ls9c_ard_3-2-1_098073_2024-03-16_final.stac-item
2024-03-16 10:07:30	ga_ls9c_ard_3-2-1_098078_2024-03-16_final.stac-item
2024-03-16 10:09:29	ga_ls9c_ard_3-2-1_098083_2024-03-16_final.stac-item
2024-03-17 09:10:17	ga_ls9c_ard_3-2-1_089074_2024-03-16_final.stac-item
2024-03-17 09:12:40	ga_ls9c_ard_3-2-1_089080_2024-03-16_final.stac-item
2024-03-17 09:13:52	ga_ls9c_ard_3-2-1_089083_2024-03-16_final.stac-item
2024-03-17 09:14:40	ga_ls9c_ard_3-2-1_089085_2024-03-16_final.stac-item
2024-03-17 10:47:10	ga_ls9c_ard_3-2-1_105069_2024-03-17_final.stac-item
2024-03-17 10:49:57	ga_ls9c_ard_3-2-1_105076_2024-03-17_final.stac-item
2024-03-17 10:51:09	ga_ls9c_ard_3-2-1_105079_2024-03-17_final.stac-item
2024-03-17 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-17_final.stac-item
2024-03-18 09:53:56	ga_ls9c_ard_3-2-1_096075_2024-03-18_final.stac-item
2024-03-18 09:54:20	ga_ls9c_ard_3-2-1_096076_2024-03-18_final.stac-item
2024-03-18 09:54:44	ga_ls9c_ard_3-2-1_096077_2024-03-18_final.stac-item
2024-03-18 09:55:32	ga_ls9c_ard_3-2-1_096079_2024-03-18_final.stac-item
2024-03-18 09:57:08	ga_ls9c_ard_3-2-1_096083_2024-03-18_final.stac-item
2024-03-18 09:57:32	ga_ls9c_ard_3-2-1_096084_2024-03-18_final.stac-item
2024-03-18 11:31:37	ga_ls9c_ard_3-2-1_112072_2024-03-18_final.stac-item
2024-03-18 11:32:01	ga_ls9c_ard_3-2-1_112073_2024-03-18_final.stac-item
2024-03-18 11:32:25	ga_ls9c_ard_3-2-1_112074_2024-03-18_final.stac-item
2024-03-18 11:33:13	ga_ls9c_ard_3-2-1_112076_2024-03-18_final.stac-item
2024-03-19 10:35:12	ga_ls9c_ard_3-2-1_103070_2024-03-19_final.stac-item
2024-03-19 10:36:00	ga_ls9c_ard_3-2-1_103072_2024-03-19_final.stac-item
2024-03-19 10:36:24	ga_ls9c_ard_3-2-1_103073_2024-03-19_final.stac-item
2024-03-19 10:38:23	ga_ls9c_ard_3-2-1_103078_2024-03-19_final.stac-item
2024-03-20 09:40:22	ga_ls9c_ard_3-2-1_094072_2024-03-20_final.stac-item
2024-03-20 09:43:10	ga_ls9c_ard_3-2-1_094079_2024-03-20_final.stac-item
2024-03-20 09:45:34	ga_ls9c_ard_3-2-1_094085_2024-03-20_final.stac-item
2024-03-20 11:18:03	ga_ls9c_ard_3-2-1_110069_2024-03-20_final.stac-item
2024-03-20 11:19:15	ga_ls9c_ard_3-2-1_110072_2024-03-20_final.stac-item
2024-03-20 11:20:27	ga_ls9c_ard_3-2-1_110075_2024-03-20_final.stac-item
2024-03-20 11:20:51	ga_ls9c_ard_3-2-1_110076_2024-03-20_final.stac-item
2024-03-20 11:22:03	ga_ls9c_ard_3-2-1_110079_2024-03-20_final.stac-item
2024-03-20 11:24:03	ga_ls9c_ard_3-2-1_110084_2024-03-20_final.stac-item
2024-03-21 10:22:50	ga_ls9c_ard_3-2-1_101070_2024-03-21_final.stac-item
2024-03-21 10:23:14	ga_ls9c_ard_3-2-1_101071_2024-03-21_final.stac-item
2024-03-21 10:24:25	ga_ls9c_ard_3-2-1_101074_2024-03-21_final.stac-item
2024-03-21 10:25:13	ga_ls9c_ard_3-2-1_101076_2024-03-21_final.stac-item
2024-03-21 10:25:37	ga_ls9c_ard_3-2-1_101077_2024-03-21_final.stac-item
2024-03-22 09:28:24	ga_ls9c_ard_3-2-1_092073_2024-03-21_final.stac-item
2024-03-22 09:30:23	ga_ls9c_ard_3-2-1_092078_2024-03-22_final.stac-item
2024-03-22 09:30:47	ga_ls9c_ard_3-2-1_092079_2024-03-22_final.stac-item
2024-03-22 09:31:35	ga_ls9c_ard_3-2-1_092081_2024-03-22_final.stac-item
2024-03-22 09:32:23	ga_ls9c_ard_3-2-1_092083_2024-03-22_final.stac-item
2024-03-22 09:32:47	ga_ls9c_ard_3-2-1_092084_2024-03-22_final.stac-item
2024-03-22 09:33:11	ga_ls9c_ard_3-2-1_092085_2024-03-22_final.stac-item
2024-03-22 09:33:35	ga_ls9c_ard_3-2-1_092086_2024-03-22_final.stac-item
2024-03-22 11:05:41	ga_ls9c_ard_3-2-1_108069_2024-03-22_final.stac-item
2024-03-22 11:06:05	ga_ls9c_ard_3-2-1_108070_2024-03-22_final.stac-item
2024-03-22 11:06:29	ga_ls9c_ard_3-2-1_108071_2024-03-22_final.stac-item
2024-03-23 10:14:26	ga_ls9c_ard_3-2-1_099080_2024-03-23_final.stac-item
2024-03-24 09:18:24	ga_ls9c_ard_3-2-1_090079_2024-03-23_final.stac-item
2024-03-24 09:20:00	ga_ls9c_ard_3-2-1_090083_2024-03-23_final.stac-item
2024-03-24 09:20:48	ga_ls9c_ard_3-2-1_090085_2024-03-23_final.stac-item
2024-03-24 10:54:06	ga_ls9c_ard_3-2-1_106071_2024-03-24_final.stac-item
2024-03-24 10:54:30	ga_ls9c_ard_3-2-1_106072_2024-03-24_final.stac-item
2024-03-24 10:55:18	ga_ls9c_ard_3-2-1_106074_2024-03-24_final.stac-item
2024-03-25 09:58:51	ga_ls9c_ard_3-2-1_097072_2024-03-25_final.stac-item
2024-03-25 09:59:39	ga_ls9c_ard_3-2-1_097074_2024-03-25_final.stac-item
2024-03-25 10:02:51	ga_ls9c_ard_3-2-1_097082_2024-03-25_final.stac-item
2024-03-25 10:03:39	ga_ls9c_ard_3-2-1_097084_2024-03-25_final.stac-item
2024-03-25 11:38:08	ga_ls9c_ard_3-2-1_113073_2024-03-25_final.stac-item
2024-03-25 11:40:08	ga_ls9c_ard_3-2-1_113078_2024-03-25_final.stac-item
2024-03-25 11:41:44	ga_ls9c_ard_3-2-1_113082_2024-03-25_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