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

83 results

Time (local)	Label
2021-11-18 09:59:35	ga_ls9c_ard_3-2-1_097068_2021-11-18_final.stac-item
2021-12-12 10:10:39	ga_ls9c_ard_3-2-1_099070_2021-12-12_final.stac-item
2021-12-12 10:13:50	ga_ls9c_ard_3-2-1_099078_2021-12-12_final.stac-item
2021-12-15 10:44:18	ga_ls9c_ard_3-2-1_104077_2021-12-15_final.stac-item
2021-12-22 09:10:48	ga_ls9c_ard_3-2-1_089075_2021-12-21_final.stac-item
2022-01-26 09:41:18	ga_ls9c_ard_3-2-1_094074_2022-01-26_final.stac-item
2022-01-30 09:17:46	ga_ls9c_ard_3-2-1_090077_2022-01-29_final.stac-item
2022-02-20 09:36:11	ga_ls9c_ard_3-2-1_093077_2022-02-20_final.stac-item
2022-02-25 09:51:52	ga_ls9c_ard_3-2-1_096070_2022-02-25_final.stac-item
2022-04-12 10:03:38	ga_ls9c_ard_3-2-1_098069_2022-04-12_final.stac-item
2022-04-18 09:34:27	ga_ls9c_ard_3-2-1_092089_2022-04-18_final.stac-item
2022-04-29 09:11:52	ga_ls9c_ard_3-2-1_089079_2022-04-28_final.stac-item
2022-05-15 09:11:19	ga_ls9c_ard_3-2-1_089078_2022-05-14_final.stac-item
2022-06-22 10:08:56	ga_ls9c_ard_3-2-1_099067_2022-06-22_final.stac-item
2022-06-23 09:16:56	ga_ls9c_ard_3-2-1_090076_2022-06-22_final.stac-item
2022-07-02 10:46:05	ga_ls9c_ard_3-2-1_105067_2022-07-02_final.stac-item
2022-07-10 09:57:48	ga_ls9c_ard_3-2-1_097070_2022-07-10_final.stac-item
2022-07-16 09:22:18	ga_ls9c_ard_3-2-1_091074_2022-07-15_final.stac-item
2022-07-20 10:39:20	ga_ls9c_ard_3-2-1_103081_2022-07-20_final.stac-item
2022-07-24 10:13:28	ga_ls9c_ard_3-2-1_099078_2022-07-24_final.stac-item
2022-08-06 09:39:57	ga_ls9c_ard_3-2-1_094071_2022-08-06_final.stac-item
2022-08-08 09:34:47	ga_ls9c_ard_3-2-1_092089_2022-08-08_final.stac-item
2022-08-11 11:42:12	ga_ls9c_ard_3-2-1_113083_2022-08-11_final.stac-item
2022-08-17 09:23:05	ga_ls9c_ard_3-2-1_091075_2022-08-16_final.stac-item
2022-09-03 10:03:59	ga_ls9c_ard_3-2-1_098069_2022-09-03_final.stac-item
2022-09-19 10:04:04	ga_ls9c_ard_3-2-1_098069_2022-09-19_final.stac-item
2022-09-29 10:42:47	ga_ls9c_ard_3-2-1_104073_2022-09-29_final.stac-item
2022-10-04 09:22:50	ga_ls9c_ard_3-2-1_091074_2022-10-03_final.stac-item
2022-10-06 10:52:56	ga_ls9c_ard_3-2-1_105083_2022-10-06_final.stac-item
2022-10-15 09:07:10	ga_ls9c_ard_3-2-1_088081_2022-10-14_final.stac-item
2022-11-06 10:04:34	ga_ls9c_ard_3-2-1_098070_2022-11-06_final.stac-item
2022-11-30 09:23:06	ga_ls9c_ard_3-2-1_090090_2022-11-29_final.stac-item
2022-12-09 09:12:34	ga_ls9c_ard_3-2-1_089079_2022-12-08_final.stac-item
2022-12-20 10:32:05	ga_ls9c_ard_3-2-1_102077_2022-12-20_final.stac-item
2023-01-18 09:57:06	ga_ls9c_ard_3-2-1_097067_2023-01-18_final.stac-item
2023-01-23 10:19:14	ga_ls9c_ard_3-2-1_100076_2023-01-23_final.stac-item
2023-02-03 09:59:15	ga_ls9c_ard_3-2-1_097072_2023-02-03_final.stac-item
2023-02-10 10:04:15	ga_ls9c_ard_3-2-1_098069_2023-02-10_final.stac-item
2023-02-13 10:35:56	ga_ls9c_ard_3-2-1_103071_2023-02-13_final.stac-item
2023-02-18 09:23:06	ga_ls9c_ard_3-2-1_090090_2023-02-17_final.stac-item
2023-02-20 09:07:06	ga_ls9c_ard_3-2-1_088081_2023-02-19_final.stac-item
2023-02-25 09:22:21	ga_ls9c_ard_3-2-1_091073_2023-02-24_final.stac-item
2023-03-04 09:28:54	ga_ls9c_ard_3-2-1_092074_2023-03-03_final.stac-item
2023-03-08 09:04:54	ga_ls9c_ard_3-2-1_088076_2023-03-07_interim.stac-item
2023-03-08 09:07:42	ga_ls9c_ard_3-2-1_088083_2023-03-07_final.stac-item
2023-04-10 09:51:54	ga_ls9c_ard_3-2-1_095086_2023-04-10_final.stac-item
2023-05-01 10:03:28	ga_ls9c_ard_3-2-1_098069_2023-05-01_final.stac-item
2023-05-08 10:08:47	ga_ls9c_ard_3-2-1_099067_2023-05-08_final.stac-item
2023-05-12 08:10:21	ga_ls9c_ard_3-2-1_079080_2023-05-11_final.stac-item
2023-05-24 10:08:37	ga_ls9c_ard_3-2-1_099067_2023-05-24_final.stac-item
2023-06-01 09:22:21	ga_ls9c_ard_3-2-1_091075_2023-05-31_final.stac-item
2023-06-02 10:03:37	ga_ls9c_ard_3-2-1_098070_2023-06-02_final.stac-item
2023-06-09 10:08:32	ga_ls9c_ard_3-2-1_099067_2023-06-09_final.stac-item
2023-06-18 10:03:28	ga_ls9c_ard_3-2-1_098070_2023-06-18_final.stac-item
2023-06-19 09:11:26	ga_ls9c_ard_3-2-1_089079_2023-06-18_final.stac-item
2023-06-20 11:35:35	ga_ls9c_ard_3-2-1_112084_2023-06-20_final.stac-item
2023-06-24 09:27:59	ga_ls9c_ard_3-2-1_092074_2023-06-23_final.stac-item
2023-07-18 10:19:18	ga_ls9c_ard_3-2-1_100078_2023-07-18_final.stac-item
2023-08-05 10:03:53	ga_ls9c_ard_3-2-1_098070_2023-08-05_final.stac-item
2023-08-09 11:18:05	ga_ls9c_ard_3-2-1_110070_2023-08-09_final.stac-item
2023-08-13 09:16:28	ga_ls9c_ard_3-2-1_090075_2023-08-12_final.stac-item
2023-08-14 09:57:44	ga_ls9c_ard_3-2-1_097070_2023-08-14_final.stac-item
2023-08-30 09:57:30	ga_ls9c_ard_3-2-1_097069_2023-08-30_final.stac-item
2023-08-30 11:42:22	ga_ls9c_ard_3-2-1_113084_2023-08-30_final.stac-item
2023-09-21 12:37:31	ga_ls9c_ard_3-2-1_123067_2023-09-21_final.stac-item
2023-09-30 09:22:43	ga_ls9c_ard_3-2-1_090090_2023-09-29_final.stac-item
2023-10-15 10:09:21	ga_ls9c_ard_3-2-1_099067_2023-10-15_final.stac-item
2023-11-10 09:10:42	ga_ls9c_ard_3-2-1_089075_2023-11-09_final.stac-item
2023-11-19 09:06:33	ga_ls9c_ard_3-2-1_088080_2023-11-18_final.stac-item
2023-12-02 10:09:26	ga_ls9c_ard_3-2-1_099067_2023-12-02_final.stac-item
2023-12-11 10:04:01	ga_ls9c_ard_3-2-1_098069_2023-12-11_final.stac-item
2023-12-22 09:46:21	ga_ls9c_ard_3-2-1_095071_2023-12-22_final.stac-item
2024-01-05 09:57:48	ga_ls9c_ard_3-2-1_097069_2024-01-05_final.stac-item
2024-01-13 09:12:48	ga_ls9c_ard_3-2-1_089080_2024-01-12_final.stac-item
2024-01-26 11:57:37	ga_ls9c_ard_3-2-1_116075_2024-01-26_final.stac-item
2024-01-26 11:58:01	ga_ls9c_ard_3-2-1_116076_2024-01-26_final.stac-item
2024-02-20 10:10:04	ga_ls9c_ard_3-2-1_099069_2024-02-20_final.stac-item
2024-03-04 11:19:17	ga_ls9c_ard_3-2-1_110072_2024-03-04_final.stac-item
2024-03-04 11:19:17	ga_ls9c_ard_3-2-1_110072_2024-03-04_interim.stac-item
2024-03-16 10:07:30	ga_ls9c_ard_3-2-1_098078_2024-03-16_final.stac-item
2024-03-17 09:12:16	ga_ls9c_ard_3-2-1_089079_2024-03-16_final.stac-item
2024-03-29 09:34:27	ga_ls9c_ard_3-2-1_093073_2024-03-29_final.stac-item
2024-04-11 09:07:05	ga_ls9c_ard_3-2-1_088082_2024-04-10_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