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
2021-11-18 10:03:10	ga_ls9c_ard_3-2-1_097077_2021-11-18_final.stac-item
2021-12-09 11:22:15	ga_ls9c_ard_3-2-1_110079_2021-12-09_final.stac-item
2021-12-20 11:05:38	ga_ls9c_ard_3-2-1_107084_2021-12-20_final.stac-item
2021-12-25 11:22:11	ga_ls9c_ard_3-2-1_110079_2021-12-25_final.stac-item
2022-01-02 10:31:33	ga_ls9c_ard_3-2-1_102076_2022-01-02_final.stac-item
2022-01-03 11:15:12	ga_ls9c_ard_3-2-1_109077_2022-01-03_final.stac-item
2022-01-17 09:49:03	ga_ls9c_ard_3-2-1_095078_2022-01-17_final.stac-item
2022-01-17 09:51:50	ga_ls9c_ard_3-2-1_095085_2022-01-17_final.stac-item
2022-01-23 09:13:35	ga_ls9c_ard_3-2-1_089082_2022-01-22_final.stac-item
2022-01-26 11:22:10	ga_ls9c_ard_3-2-1_110079_2022-01-26_final.stac-item
2022-02-02 09:51:52	ga_ls9c_ard_3-2-1_095085_2022-02-02_final.stac-item
2022-03-06 09:48:49	ga_ls9c_ard_3-2-1_095078_2022-03-06_final.stac-item
2022-03-24 11:16:05	ga_ls9c_ard_3-2-1_109080_2022-03-24_final.stac-item
2022-03-25 10:20:27	ga_ls9c_ard_3-2-1_100080_2022-03-25_final.stac-item
2022-04-16 11:21:44	ga_ls9c_ard_3-2-1_110079_2022-04-16_final.stac-item
2022-05-03 10:26:48	ga_ls9c_ard_3-2-1_101081_2022-05-03_final.stac-item
2022-05-16 09:54:09	ga_ls9c_ard_3-2-1_096077_2022-05-16_final.stac-item
2022-05-18 11:21:27	ga_ls9c_ard_3-2-1_110079_2022-05-18_final.stac-item
2022-06-21 11:10:54	ga_ls9c_ard_3-2-1_108083_2022-06-21_final.stac-item
2022-07-07 09:32:54	ga_ls9c_ard_3-2-1_092085_2022-07-07_final.stac-item
2022-07-09 10:58:37	ga_ls9c_ard_3-2-1_106083_2022-07-09_final.stac-item
2022-07-14 11:14:43	ga_ls9c_ard_3-2-1_109077_2022-07-14_final.stac-item
2022-08-05 10:37:09	ga_ls9c_ard_3-2-1_103075_2022-08-05_final.stac-item
2022-08-31 11:16:21	ga_ls9c_ard_3-2-1_109080_2022-08-31_final.stac-item
2022-09-14 09:49:05	ga_ls9c_ard_3-2-1_095078_2022-09-14_final.stac-item
2022-09-16 11:16:25	ga_ls9c_ard_3-2-1_109080_2022-09-16_final.stac-item
2022-10-07 09:54:55	ga_ls9c_ard_3-2-1_096077_2022-10-07_final.stac-item
2022-10-16 11:28:31	ga_ls9c_ard_3-2-1_111079_2022-10-16_final.stac-item
2022-11-10 11:21:33	ga_ls9c_ard_3-2-1_110077_2022-11-10_final.stac-item
2023-02-19 10:02:20	ga_ls9c_ard_3-2-1_097080_2023-02-19_final.stac-item
2023-03-09 11:25:50	ga_ls9c_ard_3-2-1_111073_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 11:27:25	ga_ls9c_ard_3-2-1_111077_2023-03-09_final.stac-item
2023-03-20 09:30:23	ga_ls9c_ard_3-2-1_092078_2023-03-20_final.stac-item
2023-03-20 11:10:28	ga_ls9c_ard_3-2-1_108081_2023-03-20_final.stac-item
2023-03-20 11:10:52	ga_ls9c_ard_3-2-1_108082_2023-03-20_final.stac-item
2023-04-03 09:42:10	ga_ls9c_ard_3-2-1_094077_2023-04-03_final.stac-item
2023-04-10 09:49:06	ga_ls9c_ard_3-2-1_095079_2023-04-10_final.stac-item
2023-04-10 09:50:18	ga_ls9c_ard_3-2-1_095082_2023-04-10_final.stac-item
2023-04-12 11:16:00	ga_ls9c_ard_3-2-1_109080_2023-04-12_final.stac-item
2023-04-13 10:20:22	ga_ls9c_ard_3-2-1_100080_2023-04-13_final.stac-item
2023-04-17 09:54:26	ga_ls9c_ard_3-2-1_096077_2023-04-17_final.stac-item
2023-04-17 09:55:38	ga_ls9c_ard_3-2-1_096080_2023-04-17_final.stac-item
2023-04-17 11:34:07	ga_ls9c_ard_3-2-1_112079_2023-04-17_final.stac-item
2023-04-19 11:23:21	ga_ls9c_ard_3-2-1_110083_2023-04-19_final.stac-item
2023-04-20 10:26:56	ga_ls9c_ard_3-2-1_101081_2023-04-20_final.stac-item
2023-04-21 09:30:06	ga_ls9c_ard_3-2-1_092078_2023-04-21_final.stac-item
2023-04-21 09:30:30	ga_ls9c_ard_3-2-1_092079_2023-04-21_final.stac-item
2023-04-21 11:08:59	ga_ls9c_ard_3-2-1_108078_2023-04-21_final.stac-item
2023-04-21 11:09:23	ga_ls9c_ard_3-2-1_108079_2023-04-21_final.stac-item
2023-05-02 10:45:55	ga_ls9c_ard_3-2-1_105067_2023-05-02_final.stac-item
2023-05-03 11:33:56	ga_ls9c_ard_3-2-1_112079_2023-05-03_final.stac-item
2023-05-05 09:42:16	ga_ls9c_ard_3-2-1_094078_2023-05-05_final.stac-item
2023-05-05 11:20:45	ga_ls9c_ard_3-2-1_110077_2023-05-05_final.stac-item
2023-05-07 09:29:54	ga_ls9c_ard_3-2-1_092078_2023-05-06_final.stac-item
2023-05-07 11:08:47	ga_ls9c_ard_3-2-1_108078_2023-05-07_final.stac-item
2023-05-07 11:09:35	ga_ls9c_ard_3-2-1_108080_2023-05-07_final.stac-item
2023-05-09 10:58:26	ga_ls9c_ard_3-2-1_106083_2023-05-09_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 09:49:38	ga_ls9c_ard_3-2-1_095081_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
2023-05-18 10:45:47	ga_ls9c_ard_3-2-1_105067_2023-05-18_final.stac-item
2023-05-18 10:50:11	ga_ls9c_ard_3-2-1_105078_2023-05-18_final.stac-item
2023-05-20 10:38:11	ga_ls9c_ard_3-2-1_103079_2023-05-20_final.stac-item
2023-05-21 11:20:38	ga_ls9c_ard_3-2-1_110077_2023-05-21_final.stac-item
2023-05-21 11:21:02	ga_ls9c_ard_3-2-1_110078_2023-05-21_final.stac-item
2023-05-21 11:21:26	ga_ls9c_ard_3-2-1_110079_2023-05-21_final.stac-item
2023-06-22 11:19:14	ga_ls9c_ard_3-2-1_110074_2023-06-22_final.stac-item
2023-06-22 11:20:02	ga_ls9c_ard_3-2-1_110076_2023-06-22_final.stac-item
2023-06-22 11:20:50	ga_ls9c_ard_3-2-1_110078_2023-06-22_final.stac-item
2023-06-24 11:08:52	ga_ls9c_ard_3-2-1_108079_2023-06-24_final.stac-item
2023-06-24 11:09:15	ga_ls9c_ard_3-2-1_108080_2023-06-24_final.stac-item
2023-06-28 10:45:00	ga_ls9c_ard_3-2-1_104081_2023-06-28_final.stac-item
2023-07-06 09:53:19	ga_ls9c_ard_3-2-1_096075_2023-07-06_final.stac-item
2023-07-07 10:36:59	ga_ls9c_ard_3-2-1_103076_2023-07-07_final.stac-item
2023-07-08 09:42:11	ga_ls9c_ard_3-2-1_094078_2023-07-08_final.stac-item
2023-07-08 11:20:16	ga_ls9c_ard_3-2-1_110076_2023-07-08_final.stac-item
2023-07-08 11:21:04	ga_ls9c_ard_3-2-1_110078_2023-07-08_final.stac-item
2023-07-10 11:09:55	ga_ls9c_ard_3-2-1_108081_2023-07-10_final.stac-item
2023-09-04 10:20:04	ga_ls9c_ard_3-2-1_100079_2023-09-04_final.stac-item
2023-09-07 10:51:25	ga_ls9c_ard_3-2-1_105080_2023-09-07_final.stac-item
2023-09-08 09:55:00	ga_ls9c_ard_3-2-1_096078_2023-09-08_final.stac-item
2023-09-08 11:34:17	ga_ls9c_ard_3-2-1_112079_2023-09-08_final.stac-item
2023-09-08 11:34:41	ga_ls9c_ard_3-2-1_112080_2023-09-08_final.stac-item
2023-09-16 10:45:42	ga_ls9c_ard_3-2-1_104081_2023-09-16_final.stac-item
2023-09-17 11:28:10	ga_ls9c_ard_3-2-1_111079_2023-09-17_final.stac-item
2023-09-19 11:15:24	ga_ls9c_ard_3-2-1_109078_2023-09-19_final.stac-item
2023-09-19 11:15:48	ga_ls9c_ard_3-2-1_109079_2023-09-19_final.stac-item
2023-09-19 11:17:24	ga_ls9c_ard_3-2-1_109083_2023-09-19_final.stac-item
2023-09-20 10:20:10	ga_ls9c_ard_3-2-1_100079_2023-09-20_final.stac-item
2023-09-26 11:21:55	ga_ls9c_ard_3-2-1_110079_2023-09-26_final.stac-item
2023-09-27 10:27:53	ga_ls9c_ard_3-2-1_101083_2023-09-27_final.stac-item
2023-09-28 11:10:20	ga_ls9c_ard_3-2-1_108081_2023-09-28_final.stac-item
2023-09-28 11:11:08	ga_ls9c_ard_3-2-1_108083_2023-09-28_final.stac-item
2023-10-01 11:41:18	ga_ls9c_ard_3-2-1_113081_2023-10-01_final.stac-item
2023-10-05 11:17:49	ga_ls9c_ard_3-2-1_109084_2023-10-05_final.stac-item
2023-10-07 11:03:53	ga_ls9c_ard_3-2-1_107080_2023-10-07_final.stac-item
2023-10-08 10:04:40	ga_ls9c_ard_3-2-1_098071_2023-10-08_final.stac-item
2023-10-11 10:39:13	ga_ls9c_ard_3-2-1_103080_2023-10-11_final.stac-item
2023-10-14 09:30:29	ga_ls9c_ard_3-2-1_092078_2023-10-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years