Search ga_s2bm_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-08-03 10:43:38	ga_s2bm_ard_3-2-1_53KPQ_2022-08-03_final
2022-08-03 10:43:42	ga_s2bm_ard_3-2-1_53KNQ_2022-08-03_final
2022-08-03 10:43:45	ga_s2bm_ard_3-2-1_53KMQ_2022-08-03_final
2022-08-03 10:43:50	ga_s2bm_ard_3-2-1_53KLQ_2022-08-03_final
2022-08-03 10:43:56	ga_s2bm_ard_3-2-1_53KNP_2022-08-03_final
2022-08-03 10:44:00	ga_s2bm_ard_3-2-1_53KMP_2022-08-03_final
2022-08-03 10:44:33	ga_s2bm_ard_3-2-1_53JPL_2022-08-03_final
2022-08-03 10:44:40	ga_s2bm_ard_3-2-1_53JNL_2022-08-03_final
2022-08-03 10:44:43	ga_s2bm_ard_3-2-1_53JML_2022-08-03_final
2022-08-03 10:44:47	ga_s2bm_ard_3-2-1_53JLL_2022-08-03_final
2022-08-03 10:44:52	ga_s2bm_ard_3-2-1_53JKL_2022-08-03_final
2022-08-03 10:44:54	ga_s2bm_ard_3-2-1_53JNK_2022-08-03_final
2022-08-03 10:44:58	ga_s2bm_ard_3-2-1_53JMK_2022-08-03_final
2022-08-03 10:45:01	ga_s2bm_ard_3-2-1_53JLK_2022-08-03_final
2022-08-03 10:45:05	ga_s2bm_ard_3-2-1_53JKK_2022-08-03_final
2022-08-03 10:45:09	ga_s2bm_ard_3-2-1_53JNJ_2022-08-03_final
2022-08-03 10:45:12	ga_s2bm_ard_3-2-1_53JMJ_2022-08-03_final
2022-08-03 10:45:16	ga_s2bm_ard_3-2-1_53JLJ_2022-08-03_final
2022-08-03 10:45:19	ga_s2bm_ard_3-2-1_53JKJ_2022-08-03_final
2022-08-03 10:45:30	ga_s2bm_ard_3-2-1_53JLH_2022-08-03_final
2022-08-03 10:45:33	ga_s2bm_ard_3-2-1_53JKH_2022-08-03_final
2022-08-03 10:45:36	ga_s2bm_ard_3-2-1_53JNG_2022-08-03_final
2022-08-03 10:45:41	ga_s2bm_ard_3-2-1_53JMG_2022-08-03_final
2022-08-03 10:45:45	ga_s2bm_ard_3-2-1_53JLG_2022-08-03_final
2022-08-03 10:45:46	ga_s2bm_ard_3-2-1_53JNF_2022-08-03_final
2022-08-03 10:45:56	ga_s2bm_ard_3-2-1_53JMF_2022-08-03_final
2022-08-03 10:46:00	ga_s2bm_ard_3-2-1_53JLF_2022-08-03_final
2022-08-03 10:46:10	ga_s2bm_ard_3-2-1_53HME_2022-08-03_final
2022-08-03 10:46:14	ga_s2bm_ard_3-2-1_53HLE_2022-08-03_final
2022-08-03 10:46:17	ga_s2bm_ard_3-2-1_53HKE_2022-08-03_final.stac-item
2022-08-03 10:46:19	ga_s2bm_ard_3-2-1_52HGK_2022-08-03_final.stac-item
2022-08-03 10:46:36	ga_s2bm_ard_3-2-1_53HMC_2022-08-03_final.stac-item
2022-08-04 10:10:03	ga_s2bm_ard_3-2-1_54LZP_2022-08-04_final
2022-08-04 10:10:30	ga_s2bm_ard_3-2-1_54LZM_2022-08-04_final
2022-08-04 10:12:11	ga_s2bm_ard_3-2-1_55KBV_2022-08-04_final
2022-08-04 10:12:12	ga_s2bm_ard_3-2-1_54KZE_2022-08-04_final
2022-08-04 10:12:15	ga_s2bm_ard_3-2-1_54KYE_2022-08-04_final
2022-08-04 10:12:48	ga_s2bm_ard_3-2-1_54KXC_2022-08-04_final
2022-08-04 10:12:54	ga_s2bm_ard_3-2-1_55KBS_2022-08-04_final
2022-08-04 10:12:59	ga_s2bm_ard_3-2-1_54KYB_2022-08-04_final
2022-08-04 10:13:09	ga_s2bm_ard_3-2-1_55KBR_2022-08-04_final
2022-08-04 10:13:16	ga_s2bm_ard_3-2-1_54KXA_2022-08-04_final
2022-08-04 10:13:31	ga_s2bm_ard_3-2-1_54KXV_2022-08-04_final
2022-08-04 10:13:34	ga_s2bm_ard_3-2-1_54KWV_2022-08-04_final
2022-08-04 10:13:42	ga_s2bm_ard_3-2-1_54KYU_2022-08-04_final
2022-08-04 10:13:49	ga_s2bm_ard_3-2-1_54KWU_2022-08-04_final
2022-08-04 10:14:11	ga_s2bm_ard_3-2-1_54JYS_2022-08-04_final
2022-08-04 10:14:25	ga_s2bm_ard_3-2-1_54JYR_2022-08-04_final
2022-08-04 10:14:29	ga_s2bm_ard_3-2-1_54JXR_2022-08-04_final
2022-08-04 10:14:33	ga_s2bm_ard_3-2-1_54JWR_2022-08-04_final
2022-08-04 10:14:36	ga_s2bm_ard_3-2-1_54JVR_2022-08-04_final
2022-08-04 10:14:39	ga_s2bm_ard_3-2-1_54JYQ_2022-08-04_final
2022-08-04 10:14:41	ga_s2bm_ard_3-2-1_54JXQ_2022-08-04_final
2022-08-04 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2022-08-04_final
2022-08-04 10:14:44	ga_s2bm_ard_3-2-1_54JVQ_2022-08-04_final
2022-08-04 10:14:46	ga_s2bm_ard_3-2-1_54JYQ_2022-08-04_final
2022-08-04 10:14:48	ga_s2bm_ard_3-2-1_54JXQ_2022-08-04_final
2022-08-04 10:14:50	ga_s2bm_ard_3-2-1_54JWQ_2022-08-04_final
2022-08-04 10:14:52	ga_s2bm_ard_3-2-1_54JVQ_2022-08-04_final
2022-08-04 10:14:52	ga_s2bm_ard_3-2-1_54JYP_2022-08-04_final
2022-08-04 10:14:58	ga_s2bm_ard_3-2-1_54JXP_2022-08-04_final
2022-08-04 10:15:02	ga_s2bm_ard_3-2-1_54JWP_2022-08-04_final
2022-08-04 10:15:02	ga_s2bm_ard_3-2-1_54JYN_2022-08-04_final
2022-08-04 10:15:05	ga_s2bm_ard_3-2-1_54JVP_2022-08-04_final
2022-08-04 10:15:12	ga_s2bm_ard_3-2-1_54JUP_2022-08-04_final
2022-08-04 10:15:12	ga_s2bm_ard_3-2-1_54JXN_2022-08-04_final
2022-08-04 10:15:16	ga_s2bm_ard_3-2-1_54JWN_2022-08-04_final
2022-08-04 10:15:19	ga_s2bm_ard_3-2-1_54JVN_2022-08-04_final
2022-08-04 10:15:23	ga_s2bm_ard_3-2-1_54JUN_2022-08-04_final
2022-08-04 10:15:27	ga_s2bm_ard_3-2-1_54JXM_2022-08-04_final.stac-item
2022-08-04 10:15:31	ga_s2bm_ard_3-2-1_54JWM_2022-08-04_final.stac-item
2022-08-04 10:15:34	ga_s2bm_ard_3-2-1_54JVM_2022-08-04_final.stac-item
2022-08-04 10:15:37	ga_s2bm_ard_3-2-1_54JUM_2022-08-04_final
2022-08-04 10:15:41	ga_s2bm_ard_3-2-1_54JXL_2022-08-04_final.stac-item
2022-08-04 10:15:45	ga_s2bm_ard_3-2-1_54JWL_2022-08-04_final.stac-item
2022-08-04 10:15:49	ga_s2bm_ard_3-2-1_54JVL_2022-08-04_final.stac-item
2022-08-04 10:15:52	ga_s2bm_ard_3-2-1_54JUL_2022-08-04_final
2022-08-04 10:15:54	ga_s2bm_ard_3-2-1_54HXK_2022-08-04_final.stac-item
2022-08-04 10:15:59	ga_s2bm_ard_3-2-1_54HWK_2022-08-04_final.stac-item
2022-08-04 10:16:03	ga_s2bm_ard_3-2-1_54HVK_2022-08-04_final.stac-item
2022-08-04 10:16:07	ga_s2bm_ard_3-2-1_54HUK_2022-08-04_final
2022-08-04 10:16:14	ga_s2bm_ard_3-2-1_54HWJ_2022-08-04_final.stac-item
2022-08-04 10:16:25	ga_s2bm_ard_3-2-1_54HTJ_2022-08-04_final
2022-08-04 10:16:32	ga_s2bm_ard_3-2-1_54HVH_2022-08-04_final.stac-item
2022-08-04 10:16:35	ga_s2bm_ard_3-2-1_54HUH_2022-08-04_final
2022-08-04 10:16:38	ga_s2bm_ard_3-2-1_54HTH_2022-08-04_final
2022-08-04 10:16:43	ga_s2bm_ard_3-2-1_54HWG_2022-08-04_final.stac-item
2022-08-04 10:16:47	ga_s2bm_ard_3-2-1_54HVG_2022-08-04_final.stac-item
2022-08-04 10:16:50	ga_s2bm_ard_3-2-1_54HUG_2022-08-04_final
2022-08-04 10:16:53	ga_s2bm_ard_3-2-1_54HTG_2022-08-04_final
2022-08-04 10:16:56	ga_s2bm_ard_3-2-1_53HQB_2022-08-04_final
2022-08-04 10:17:05	ga_s2bm_ard_3-2-1_54HUF_2022-08-04_final
2022-08-04 10:17:08	ga_s2bm_ard_3-2-1_54HWE_2022-08-04_final
2022-08-04 10:17:08	ga_s2bm_ard_3-2-1_54HTF_2022-08-04_final
2022-08-04 10:17:09	ga_s2bm_ard_3-2-1_53HQA_2022-08-04_final
2022-08-04 10:17:15	ga_s2bm_ard_3-2-1_54HVE_2022-08-04_final
2022-08-04 10:17:19	ga_s2bm_ard_3-2-1_54HUE_2022-08-04_final.stac-item
2022-08-04 10:17:22	ga_s2bm_ard_3-2-1_54HTE_2022-08-04_final.stac-item
2022-08-04 10:17:24	ga_s2bm_ard_3-2-1_53HQV_2022-08-04_final.stac-item
2022-08-04 10:17:30	ga_s2bm_ard_3-2-1_54HVD_2022-08-04_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years