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

96 results

Time (local)	Label
2021-12-04 09:24:53	ga_ls9c_ard_3-2-1_091079_2021-12-03_final.stac-item
2021-12-07 09:53:22	ga_ls9c_ard_3-2-1_096073_2021-12-07_final.stac-item
2021-12-16 09:51:04	ga_ls9c_ard_3-2-1_095083_2021-12-16_final.stac-item
2021-12-18 11:13:12	ga_ls9c_ard_3-2-1_109072_2021-12-18_final.stac-item
2021-12-20 11:00:51	ga_ls9c_ard_3-2-1_107072_2021-12-20_final.stac-item
2021-12-30 11:41:32	ga_ls9c_ard_3-2-1_113081_2021-12-30_final.stac-item
2022-01-03 11:17:12	ga_ls9c_ard_3-2-1_109082_2022-01-03_final.stac-item
2022-01-21 09:24:44	ga_ls9c_ard_3-2-1_091079_2022-01-20_final.stac-item
2022-01-24 11:36:32	ga_ls9c_ard_3-2-1_112084_2022-01-24_final.stac-item
2022-02-15 09:18:54	ga_ls9c_ard_3-2-1_090080_2022-02-14_final.stac-item
2022-02-21 11:58:43	ga_ls9c_ard_3-2-1_116078_2022-02-21_final.stac-item
2022-03-11 11:45:03	ga_ls9c_ard_3-2-1_114075_2022-03-11_final.stac-item
2022-03-22 09:51:10	ga_ls9c_ard_3-2-1_095084_2022-03-22_final.stac-item
2022-05-07 11:40:32	ga_ls9c_ard_3-2-1_113080_2022-05-07_final.stac-item
2022-06-14 11:02:10	ga_ls9c_ard_3-2-1_107077_2022-06-14_final.stac-item
2022-06-25 10:40:19	ga_ls9c_ard_3-2-1_104068_2022-06-25_final.stac-item
2022-06-28 11:12:49	ga_ls9c_ard_3-2-1_109072_2022-06-28_final.stac-item
2022-06-30 11:02:02	ga_ls9c_ard_3-2-1_107076_2022-06-30_final.stac-item
2022-07-13 10:30:16	ga_ls9c_ard_3-2-1_102074_2022-07-13_final.stac-item
2022-07-14 11:12:19	ga_ls9c_ard_3-2-1_109071_2022-07-14_final.stac-item
2022-07-17 11:46:04	ga_ls9c_ard_3-2-1_114078_2022-07-17_final.stac-item
2022-07-21 09:45:19	ga_ls9c_ard_3-2-1_094085_2022-07-21_final.stac-item
2022-07-26 10:02:20	ga_ls9c_ard_3-2-1_097081_2022-07-26_final.stac-item
2022-07-30 09:36:52	ga_ls9c_ard_3-2-1_093079_2022-07-30_final.stac-item
2022-08-12 10:41:24	ga_ls9c_ard_3-2-1_104070_2022-08-12_final.stac-item
2022-08-13 09:47:23	ga_ls9c_ard_3-2-1_095074_2022-08-13_final.stac-item
2022-08-15 11:12:43	ga_ls9c_ard_3-2-1_109071_2022-08-15_final.stac-item
2022-08-16 10:17:30	ga_ls9c_ard_3-2-1_100072_2022-08-16_final.stac-item
2022-09-04 10:48:02	ga_ls9c_ard_3-2-1_105071_2022-09-04_final.stac-item
2022-09-06 10:35:16	ga_ls9c_ard_3-2-1_103070_2022-09-06_final.stac-item
2022-09-16 09:37:32	ga_ls9c_ard_3-2-1_093080_2022-09-16_final.stac-item
2022-09-16 09:37:56	ga_ls9c_ard_3-2-1_093081_2022-09-16_final.stac-item
2022-09-21 09:55:19	ga_ls9c_ard_3-2-1_096078_2022-09-21_final.stac-item
2022-09-28 11:38:00	ga_ls9c_ard_3-2-1_113072_2022-09-28_final.stac-item
2022-10-01 10:32:01	ga_ls9c_ard_3-2-1_102077_2022-10-01_final.stac-item
2022-10-11 09:31:27	ga_ls9c_ard_3-2-1_092080_2022-10-11_final.stac-item
2022-10-25 09:43:28	ga_ls9c_ard_3-2-1_094079_2022-10-25_final.stac-item
2022-11-01 09:51:13	ga_ls9c_ard_3-2-1_095083_2022-11-01_final.stac-item
2022-11-08 09:58:13	ga_ls9c_ard_3-2-1_096085_2022-11-08_final.stac-item
2022-11-15 10:02:26	ga_ls9c_ard_3-2-1_097080_2022-11-15_final.stac-item
2022-12-03 11:25:42	ga_ls9c_ard_3-2-1_111072_2022-12-03_final.stac-item
2022-12-22 10:18:54	ga_ls9c_ard_3-2-1_100075_2022-12-22_final.stac-item
2022-12-31 11:52:27	ga_ls9c_ard_3-2-1_115077_2022-12-31_final.stac-item
2023-01-13 11:21:31	ga_ls9c_ard_3-2-1_110077_2023-01-13_final.stac-item
2023-01-16 11:52:22	ga_ls9c_ard_3-2-1_115077_2023-01-16_final.stac-item
2023-01-31 09:33:06	ga_ls9c_ard_3-2-1_092084_2023-01-31_final.stac-item
2023-02-01 10:12:47	ga_ls9c_ard_3-2-1_099075_2023-02-01_final.stac-item
2023-02-18 09:20:42	ga_ls9c_ard_3-2-1_090084_2023-02-17_final.stac-item
2023-03-02 09:45:16	ga_ls9c_ard_3-2-1_094084_2023-03-02_final.stac-item
2023-03-03 10:25:20	ga_ls9c_ard_3-2-1_101076_2023-03-03_final.stac-item
2023-03-10 10:29:48	ga_ls9c_ard_3-2-1_102072_2023-03-10_final.stac-item
2023-03-17 10:36:23	ga_ls9c_ard_3-2-1_103073_2023-03-17_final.stac-item
2023-04-09 10:41:09	ga_ls9c_ard_3-2-1_104070_2023-04-09_final.stac-item
2023-04-15 11:45:40	ga_ls9c_ard_3-2-1_114077_2023-04-15_final.stac-item
2023-04-19 11:21:21	ga_ls9c_ard_3-2-1_110078_2023-04-19_final.stac-item
2023-04-22 11:53:03	ga_ls9c_ard_3-2-1_115080_2023-04-22_final.stac-item
2023-04-25 10:41:03	ga_ls9c_ard_3-2-1_104070_2023-04-25_final.stac-item
2023-04-26 09:51:24	ga_ls9c_ard_3-2-1_095085_2023-04-26_final.stac-item
2023-05-02 10:50:42	ga_ls9c_ard_3-2-1_105079_2023-05-02_final.stac-item
2023-05-05 11:19:09	ga_ls9c_ard_3-2-1_110073_2023-05-05_final.stac-item
2023-05-09 09:17:33	ga_ls9c_ard_3-2-1_090078_2023-05-08_final.stac-item
2023-05-18 09:12:06	ga_ls9c_ard_3-2-1_089080_2023-05-17_final.stac-item
2023-05-19 11:35:01	ga_ls9c_ard_3-2-1_112082_2023-05-19_final.stac-item
2023-07-18 10:21:42	ga_ls9c_ard_3-2-1_100084_2023-07-18_final.stac-item
2023-07-21 10:51:24	ga_ls9c_ard_3-2-1_105081_2023-07-21_final.stac-item
2023-07-26 11:07:56	ga_ls9c_ard_3-2-1_108076_2023-07-26_final.stac-item
2023-07-30 10:45:41	ga_ls9c_ard_3-2-1_104082_2023-07-30_final.stac-item
2023-07-31 09:47:17	ga_ls9c_ard_3-2-1_095075_2023-07-31_final.stac-item
2023-07-31 11:28:34	ga_ls9c_ard_3-2-1_111081_2023-07-31_final.stac-item
2023-08-07 11:31:14	ga_ls9c_ard_3-2-1_112072_2023-08-07_final.stac-item
2023-08-21 11:46:50	ga_ls9c_ard_3-2-1_114080_2023-08-21_final.stac-item
2023-08-30 09:59:30	ga_ls9c_ard_3-2-1_097074_2023-08-30_final.stac-item
2023-08-31 10:42:46	ga_ls9c_ard_3-2-1_104074_2023-08-31_final.stac-item
2023-09-15 10:02:02	ga_ls9c_ard_3-2-1_097080_2023-09-15_final.stac-item
2023-09-25 10:34:17	ga_ls9c_ard_3-2-1_103068_2023-09-25_final.stac-item
2023-11-02 09:58:53	ga_ls9c_ard_3-2-1_097072_2023-11-02_final.stac-item
2023-11-02 11:42:10	ga_ls9c_ard_3-2-1_113083_2023-11-02_final.stac-item
2023-11-25 10:03:15	ga_ls9c_ard_3-2-1_098067_2023-11-25_final.stac-item
2023-12-03 10:57:52	ga_ls9c_ard_3-2-1_106080_2023-12-03_final.stac-item
2023-12-24 09:38:47	ga_ls9c_ard_3-2-1_093083_2023-12-24_final.stac-item
2023-12-26 11:05:18	ga_ls9c_ard_3-2-1_107083_2023-12-26_final.stac-item
2024-01-16 09:43:42	ga_ls9c_ard_3-2-1_094080_2024-01-16_final.stac-item
2024-01-18 11:09:49	ga_ls9c_ard_3-2-1_108079_2024-01-18_final.stac-item
2024-02-06 11:39:57	ga_ls9c_ard_3-2-1_113077_2024-02-06_final.stac-item
2024-02-10 09:37:56	ga_ls9c_ard_3-2-1_093081_2024-02-10_final.stac-item
2024-02-20 10:15:15	ga_ls9c_ard_3-2-1_099082_2024-02-20_final.stac-item
2024-02-27 10:20:13	ga_ls9c_ard_3-2-1_100079_2024-02-27_final.stac-item
2024-03-06 09:32:26	ga_ls9c_ard_3-2-1_092083_2024-03-06_final.stac-item
2024-04-05 09:45:01	ga_ls9c_ard_3-2-1_094084_2024-04-05_final.stac-item
2024-04-05 11:22:42	ga_ls9c_ard_3-2-1_110081_2024-04-05_final.stac-item
2024-04-08 10:11:30	ga_ls9c_ard_3-2-1_099073_2024-04-08_final.stac-item
2024-04-16 09:25:57	ga_ls9c_ard_3-2-1_091083_2024-04-15_final.stac-item
2024-04-23 11:11:11	ga_ls9c_ard_3-2-1_108084_2024-04-23_final.stac-item
2024-04-30 09:38:03	ga_ls9c_ard_3-2-1_093083_2024-04-30_final.stac-item
2024-05-04 10:46:36	ga_ls9c_ard_3-2-1_105069_2024-05-04_final.stac-item
2024-05-06 10:36:15	ga_ls9c_ard_3-2-1_103074_2024-05-06_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