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

91 results

Time (local)	Label
2021-11-16 10:21:07	ga_ls9c_ard_3-2-1_100075_2021-11-16_final.stac-item
2021-12-07 11:35:02	ga_ls9c_ard_3-2-1_112080_2021-12-07_final.stac-item
2021-12-18 09:40:18	ga_ls9c_ard_3-2-1_093087_2021-12-18_final.stac-item
2022-01-03 11:17:36	ga_ls9c_ard_3-2-1_109083_2022-01-03_final.stac-item
2022-02-04 11:13:12	ga_ls9c_ard_3-2-1_109072_2022-02-04_final.stac-item
2022-02-13 09:30:28	ga_ls9c_ard_3-2-1_092078_2022-02-13_final.stac-item
2022-02-27 11:20:46	ga_ls9c_ard_3-2-1_110076_2022-02-27_final.stac-item
2022-03-10 09:28:30	ga_ls9c_ard_3-2-1_091089_2022-03-09_final.stac-item
2022-03-30 10:38:11	ga_ls9c_ard_3-2-1_103078_2022-03-30_final.stac-item
2022-03-31 09:44:57	ga_ls9c_ard_3-2-1_094084_2022-03-31_final.stac-item
2022-03-31 11:18:39	ga_ls9c_ard_3-2-1_110071_2022-03-31_final.stac-item
2022-04-16 09:44:51	ga_ls9c_ard_3-2-1_094084_2022-04-16_final.stac-item
2022-05-01 10:33:59	ga_ls9c_ard_3-2-1_103068_2022-05-01_final.stac-item
2022-05-23 09:58:16	ga_ls9c_ard_3-2-1_097072_2022-05-23_final.stac-item
2022-05-31 09:12:02	ga_ls9c_ard_3-2-1_089080_2022-05-30_final.stac-item
2022-06-01 09:54:54	ga_ls9c_ard_3-2-1_096079_2022-06-01_final.stac-item
2022-06-15 11:44:39	ga_ls9c_ard_3-2-1_114075_2022-06-15_final.stac-item
2022-06-23 10:58:13	ga_ls9c_ard_3-2-1_106082_2022-06-23_final.stac-item
2022-06-26 09:50:17	ga_ls9c_ard_3-2-1_095082_2022-06-26_final.stac-item
2022-06-28 11:16:48	ga_ls9c_ard_3-2-1_109082_2022-06-28_final.stac-item
2022-07-12 11:29:29	ga_ls9c_ard_3-2-1_111083_2022-07-12_final.stac-item
2022-07-14 11:15:55	ga_ls9c_ard_3-2-1_109080_2022-07-14_final.stac-item
2022-08-14 10:31:51	ga_ls9c_ard_3-2-1_102077_2022-08-14_final.stac-item
2022-09-20 10:48:56	ga_ls9c_ard_3-2-1_105073_2022-09-20_final.stac-item
2022-09-27 09:19:51	ga_ls9c_ard_3-2-1_090082_2022-09-26_final.stac-item
2022-10-03 10:18:51	ga_ls9c_ard_3-2-1_100075_2022-10-03_final.stac-item
2022-10-16 09:46:27	ga_ls9c_ard_3-2-1_095071_2022-10-16_final.stac-item
2022-10-28 11:53:39	ga_ls9c_ard_3-2-1_115080_2022-10-28_final.stac-item
2022-10-30 10:00:48	ga_ls9c_ard_3-2-1_097076_2022-10-30_final.stac-item
2022-11-12 11:10:48	ga_ls9c_ard_3-2-1_108081_2022-11-12_final.stac-item
2022-11-17 11:29:45	ga_ls9c_ard_3-2-1_111082_2022-11-17_final.stac-item
2022-11-26 09:43:52	ga_ls9c_ard_3-2-1_094080_2022-11-26_final.stac-item
2022-11-29 11:52:02	ga_ls9c_ard_3-2-1_115076_2022-11-29_final.stac-item
2022-12-01 09:59:58	ga_ls9c_ard_3-2-1_097074_2022-12-01_final.stac-item
2022-12-01 10:02:22	ga_ls9c_ard_3-2-1_097080_2022-12-01_final.stac-item
2022-12-18 10:43:39	ga_ls9c_ard_3-2-1_104075_2022-12-18_final.stac-item
2022-12-19 09:46:26	ga_ls9c_ard_3-2-1_095071_2022-12-19_final.stac-item
2023-02-10 11:47:32	ga_ls9c_ard_3-2-1_114080_2023-02-10_final.stac-item
2023-02-19 10:01:09	ga_ls9c_ard_3-2-1_097077_2023-02-19_final.stac-item
2023-02-24 11:58:51	ga_ls9c_ard_3-2-1_116078_2023-02-24_final.stac-item
2023-03-07 11:41:49	ga_ls9c_ard_3-2-1_113082_2023-03-07_final.stac-item
2023-03-23 10:02:27	ga_ls9c_ard_3-2-1_097081_2023-03-23_final.stac-item
2023-03-29 09:28:02	ga_ls9c_ard_3-2-1_091088_2023-03-28_final.stac-item
2023-04-19 09:45:16	ga_ls9c_ard_3-2-1_094085_2023-04-19_final.stac-item
2023-04-20 10:25:44	ga_ls9c_ard_3-2-1_101078_2023-04-20_final.stac-item
2023-04-24 09:59:23	ga_ls9c_ard_3-2-1_097074_2023-04-24_final.stac-item
2023-04-24 10:02:11	ga_ls9c_ard_3-2-1_097081_2023-04-24_final.stac-item
2023-04-29 10:20:39	ga_ls9c_ard_3-2-1_100081_2023-04-29_final.stac-item
2023-05-16 11:00:34	ga_ls9c_ard_3-2-1_107073_2023-05-16_final.stac-item
2023-05-31 10:17:11	ga_ls9c_ard_3-2-1_100073_2023-05-31_final.stac-item
2023-06-20 09:57:06	ga_ls9c_ard_3-2-1_096085_2023-06-20_final.stac-item
2023-07-03 09:21:11	ga_ls9c_ard_3-2-1_091072_2023-07-02_final.stac-item
2023-07-07 10:39:23	ga_ls9c_ard_3-2-1_103082_2023-07-07_final.stac-item
2023-07-13 10:00:21	ga_ls9c_ard_3-2-1_097077_2023-07-13_final.stac-item
2023-08-16 09:50:10	ga_ls9c_ard_3-2-1_095082_2023-08-16_final.stac-item
2023-08-29 09:18:13	ga_ls9c_ard_3-2-1_090079_2023-08-28_final.stac-item
2023-08-30 10:02:17	ga_ls9c_ard_3-2-1_097081_2023-08-30_final.stac-item
2023-08-30 11:40:46	ga_ls9c_ard_3-2-1_113080_2023-08-30_final.stac-item
2023-09-13 10:14:23	ga_ls9c_ard_3-2-1_099080_2023-09-13_final.stac-item
2023-09-14 09:22:46	ga_ls9c_ard_3-2-1_090090_2023-09-13_final.stac-item
2023-09-15 09:58:51	ga_ls9c_ard_3-2-1_097072_2023-09-15_final.stac-item
2023-10-17 10:02:36	ga_ls9c_ard_3-2-1_097081_2023-10-17_final.stac-item
2023-10-19 09:47:51	ga_ls9c_ard_3-2-1_095075_2023-10-19_final.stac-item
2023-10-21 09:39:05	ga_ls9c_ard_3-2-1_093084_2023-10-21_final.stac-item
2023-10-27 10:34:52	ga_ls9c_ard_3-2-1_103069_2023-10-27_final.stac-item
2023-11-01 10:54:32	ga_ls9c_ard_3-2-1_106072_2023-11-01_final.stac-item
2023-11-09 10:08:19	ga_ls9c_ard_3-2-1_098080_2023-11-09_final.stac-item
2023-11-16 10:15:17	ga_ls9c_ard_3-2-1_099082_2023-11-16_final.stac-item
2023-11-18 11:41:03	ga_ls9c_ard_3-2-1_113080_2023-11-18_final.stac-item
2023-11-22 11:17:35	ga_ls9c_ard_3-2-1_109083_2023-11-22_final.stac-item
2023-12-04 09:57:02	ga_ls9c_ard_3-2-1_097067_2023-12-04_final.stac-item
2023-12-08 09:37:27	ga_ls9c_ard_3-2-1_093080_2023-12-08_final.stac-item
2023-12-22 09:51:56	ga_ls9c_ard_3-2-1_095085_2023-12-22_final.stac-item
2023-12-28 09:14:50	ga_ls9c_ard_3-2-1_089085_2023-12-27_final.stac-item
2024-01-02 09:31:44	ga_ls9c_ard_3-2-1_092081_2024-01-02_final.stac-item
2024-01-19 11:51:52	ga_ls9c_ard_3-2-1_115076_2024-01-19_final.stac-item
2024-02-12 09:27:33	ga_ls9c_ard_3-2-1_091086_2024-02-11_final.stac-item
2024-02-12 11:04:51	ga_ls9c_ard_3-2-1_107082_2024-02-12_final.stac-item
2024-02-26 09:36:57	ga_ls9c_ard_3-2-1_093079_2024-02-26_final.stac-item
2024-03-03 10:37:37	ga_ls9c_ard_3-2-1_103076_2024-03-03_final.stac-item
2024-03-04 11:23:17	ga_ls9c_ard_3-2-1_110082_2024-03-04_final.stac-item
2024-03-06 09:32:50	ga_ls9c_ard_3-2-1_092084_2024-03-06_final.stac-item
2024-03-09 09:59:21	ga_ls9c_ard_3-2-1_097073_2024-03-09_final.stac-item
2024-03-09 10:01:20	ga_ls9c_ard_3-2-1_097078_2024-03-09_final.stac-item
2024-03-23 11:52:08	ga_ls9c_ard_3-2-1_115077_2024-03-23_final.stac-item
2024-04-16 11:04:02	ga_ls9c_ard_3-2-1_107081_2024-04-16_final.stac-item
2024-05-07 09:43:01	ga_ls9c_ard_3-2-1_094080_2024-05-07_final.stac-item
2024-05-09 09:32:39	ga_ls9c_ard_3-2-1_092085_2024-05-09_final.stac-item
2024-05-16 11:16:48	ga_ls9c_ard_3-2-1_109083_2024-05-16_nrt.stac-item
2024-05-17 10:17:34	ga_ls9c_ard_3-2-1_100074_2024-05-17_nrt.stac-item
2024-05-21 11:34:07	ga_ls9c_ard_3-2-1_112080_2024-05-21_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