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:

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First 100 results (query limit)

Time (local)	Label
2023-10-14 10:34:46	ga_s2bm_ard_3-2-1_54JTQ_2023-10-14_final.stac-item
2023-10-14 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2023-10-14_final.stac-item
2023-10-14 10:35:07	ga_s2bm_ard_3-2-1_53JPJ_2023-10-14_final.stac-item
2023-10-14 10:35:10	ga_s2bm_ard_3-2-1_54JTN_2023-10-14_final.stac-item
2023-10-14 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_2023-10-14_final.stac-item
2023-10-14 10:35:17	ga_s2bm_ard_3-2-1_53JMJ_2023-10-14_final.stac-item
2023-10-14 10:35:18	ga_s2bm_ard_3-2-1_53JQH_2023-10-14_final.stac-item
2023-10-14 10:35:43	ga_s2bm_ard_3-2-1_53JMG_2023-10-14_final.stac-item
2023-10-14 10:35:51	ga_s2bm_ard_3-2-1_53JPF_2023-10-14_final.stac-item
2023-10-14 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2023-10-14_final.stac-item
2023-10-14 10:35:58	ga_s2bm_ard_3-2-1_53JMF_2023-10-14_final.stac-item
2023-10-14 10:35:58	ga_s2bm_ard_3-2-1_53HQE_2023-10-14_final.stac-item
2023-10-14 10:36:09	ga_s2bm_ard_3-2-1_53HNE_2023-10-14_final.stac-item
2023-10-14 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2023-10-14_final.stac-item
2023-10-14 10:36:48	ga_s2bm_ard_3-2-1_53HPB_2023-10-14_final.stac-item
2023-10-14 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2023-10-14_final.stac-item
2023-10-14 10:36:56	ga_s2bm_ard_3-2-1_53HMB_2023-10-14_final.stac-item
2023-10-14 10:36:59	ga_s2bm_ard_3-2-1_53HLB_2023-10-14_nrt.stac-item
2023-10-14 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-10-14_final.stac-item
2023-10-14 12:13:30	ga_s2bm_ard_3-2-1_49KHT_2023-10-14_nrt.stac-item
2023-10-14 12:13:35	ga_s2bm_ard_3-2-1_49KFT_2023-10-14_nrt.stac-item
2023-10-14 12:13:46	ga_s2bm_ard_3-2-1_49KGS_2023-10-14_nrt.stac-item
2023-10-14 12:13:49	ga_s2bm_ard_3-2-1_49KFS_2023-10-14_nrt.stac-item
2023-10-14 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2023-10-14_final.stac-item
2023-10-14 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-10-14_final.stac-item
2023-10-14 12:14:10	ga_s2bm_ard_3-2-1_50KKV_2023-10-14_final.stac-item
2023-10-14 12:14:21	ga_s2bm_ard_3-2-1_50KKU_2023-10-14_final.stac-item
2023-10-14 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2023-10-14_final.stac-item
2023-10-14 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-10-14_final.stac-item
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final.stac-item
2023-10-14 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-10-14_final.stac-item
2023-10-14 12:15:16	ga_s2bm_ard_3-2-1_49JFL_2023-10-14_nrt.stac-item
2023-10-15 08:24:27	ga_s2bm_ard_3-2-1_59JKH_2023-10-14_final.stac-item
2023-10-15 08:24:28	ga_s2bm_ard_3-2-1_58JGN_2023-10-14_final.stac-item
2023-10-15 09:59:41	ga_s2bm_ard_3-2-1_55LHJ_2023-10-15_nrt.stac-item
2023-10-15 09:59:50	ga_s2bm_ard_3-2-1_55LHH_2023-10-15_nrt.stac-item
2023-10-15 10:00:00	ga_s2bm_ard_3-2-1_55LGH_2023-10-15_nrt.stac-item
2023-10-15 10:00:04	ga_s2bm_ard_3-2-1_55LFH_2023-10-15_nrt.stac-item
2023-10-15 10:00:07	ga_s2bm_ard_3-2-1_55LEH_2023-10-15_nrt.stac-item
2023-10-15 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-10-15_nrt.stac-item
2023-10-15 10:00:18	ga_s2bm_ard_3-2-1_55LFG_2023-10-15_nrt.stac-item
2023-10-15 10:00:47	ga_s2bm_ard_3-2-1_55LFE_2023-10-15_nrt.stac-item
2023-10-15 10:00:51	ga_s2bm_ard_3-2-1_55LEE_2023-10-15_nrt.stac-item
2023-10-15 10:00:54	ga_s2bm_ard_3-2-1_55LDE_2023-10-15_nrt.stac-item
2023-10-15 10:01:31	ga_s2bm_ard_3-2-1_55KFB_2023-10-15_final.stac-item
2023-10-15 10:01:41	ga_s2bm_ard_3-2-1_55KCB_2023-10-15_final.stac-item
2023-10-15 10:01:49	ga_s2bm_ard_3-2-1_55KEA_2023-10-15_nrt.stac-item
2023-10-15 10:01:57	ga_s2bm_ard_3-2-1_55KFV_2023-10-15_nrt.stac-item
2023-10-15 10:02:07	ga_s2bm_ard_3-2-1_55KFU_2023-10-15_final.stac-item
2023-10-15 10:02:32	ga_s2bm_ard_3-2-1_55KET_2023-10-15_final.stac-item
2023-10-15 10:02:39	ga_s2bm_ard_3-2-1_55KCT_2023-10-15_final.stac-item
2023-10-15 10:02:47	ga_s2bm_ard_3-2-1_55KES_2023-10-15_final.stac-item
2023-10-15 10:02:50	ga_s2bm_ard_3-2-1_55KDS_2023-10-15_final.stac-item
2023-10-15 10:02:54	ga_s2bm_ard_3-2-1_55KCS_2023-10-15_final.stac-item
2023-10-15 10:02:57	ga_s2bm_ard_3-2-1_54KZB_2023-10-15_final.stac-item
2023-10-15 10:03:00	ga_s2bm_ard_3-2-1_55KER_2023-10-15_final.stac-item
2023-10-15 10:03:05	ga_s2bm_ard_3-2-1_55KDR_2023-10-15_final.stac-item
2023-10-15 10:03:11	ga_s2bm_ard_3-2-1_55KBR_2023-10-15_final.stac-item
2023-10-15 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2023-10-15_final.stac-item
2023-10-15 10:03:45	ga_s2bm_ard_3-2-1_54KYU_2023-10-15_final.stac-item
2023-10-15 10:03:49	ga_s2bm_ard_3-2-1_55JDN_2023-10-15_final.stac-item
2023-10-15 10:03:55	ga_s2bm_ard_3-2-1_55JBN_2023-10-15_final.stac-item
2023-10-15 10:03:58	ga_s2bm_ard_3-2-1_54JYT_2023-10-15_final.stac-item
2023-10-15 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2023-10-15_final.stac-item
2023-10-15 10:04:10	ga_s2bm_ard_3-2-1_55JBM_2023-10-15_final.stac-item
2023-10-15 10:04:13	ga_s2bm_ard_3-2-1_54JYS_2023-10-15_final.stac-item
2023-10-15 10:04:16	ga_s2bm_ard_3-2-1_55JDL_2023-10-15_final.stac-item
2023-10-15 10:04:26	ga_s2bm_ard_3-2-1_55JDK_2023-10-15_final.stac-item
2023-10-15 10:04:39	ga_s2bm_ard_3-2-1_55JBK_2023-10-15_final.stac-item
2023-10-15 10:04:42	ga_s2bm_ard_3-2-1_54JYQ_2023-10-15_final.stac-item
2023-10-15 10:04:50	ga_s2bm_ard_3-2-1_55JCJ_2023-10-15_final.stac-item
2023-10-15 10:05:00	ga_s2bm_ard_3-2-1_54JXP_2023-10-15_final.stac-item
2023-10-15 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2023-10-15_final.stac-item
2023-10-15 10:05:11	ga_s2bm_ard_3-2-1_54JYN_2023-10-15_final.stac-item
2023-10-15 10:05:35	ga_s2bm_ard_3-2-1_54JWM_2023-10-15_final.stac-item
2023-10-15 10:05:43	ga_s2bm_ard_3-2-1_54JXL_2023-10-15_final.stac-item
2023-10-15 10:05:47	ga_s2bm_ard_3-2-1_54JWL_2023-10-15_final.stac-item
2023-10-15 10:05:51	ga_s2bm_ard_3-2-1_55HBE_2023-10-15_final.stac-item
2023-10-15 10:05:54	ga_s2bm_ard_3-2-1_54HYK_2023-10-15_final.stac-item
2023-10-15 10:06:06	ga_s2bm_ard_3-2-1_55HBD_2023-10-15_final.stac-item
2023-10-15 10:06:08	ga_s2bm_ard_3-2-1_54HYJ_2023-10-15_final.stac-item
2023-10-15 10:06:23	ga_s2bm_ard_3-2-1_54HYH_2023-10-15_final.stac-item
2023-10-15 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2023-10-15_final.stac-item
2023-10-15 10:06:35	ga_s2bm_ard_3-2-1_55HBB_2023-10-15_final.stac-item
2023-10-15 10:06:36	ga_s2bm_ard_3-2-1_54HVH_2023-10-15_final.stac-item
2023-10-15 10:06:37	ga_s2bm_ard_3-2-1_54HYG_2023-10-15_final.stac-item
2023-10-15 10:06:41	ga_s2bm_ard_3-2-1_54HXG_2023-10-15_final.stac-item
2023-10-15 10:06:45	ga_s2bm_ard_3-2-1_54HWG_2023-10-15_final.stac-item
2023-10-15 10:06:48	ga_s2bm_ard_3-2-1_55HBA_2023-10-15_final.stac-item
2023-10-15 10:06:48	ga_s2bm_ard_3-2-1_54HVG_2023-10-15_final.stac-item
2023-10-15 10:06:52	ga_s2bm_ard_3-2-1_54HYF_2023-10-15_final.stac-item
2023-10-15 10:06:56	ga_s2bm_ard_3-2-1_54HXF_2023-10-15_final.stac-item
2023-10-15 10:07:05	ga_s2bm_ard_3-2-1_54HYE_2023-10-15_final.stac-item
2023-10-15 10:07:10	ga_s2bm_ard_3-2-1_54HXE_2023-10-15_final.stac-item
2023-10-15 10:07:14	ga_s2bm_ard_3-2-1_54HWE_2023-10-15_final.stac-item
2023-10-15 10:07:16	ga_s2bm_ard_3-2-1_54HYD_2023-10-15_final.stac-item
2023-10-15 10:07:17	ga_s2bm_ard_3-2-1_54HVE_2023-10-15_final.stac-item
2023-10-15 10:07:24	ga_s2bm_ard_3-2-1_54HXD_2023-10-15_final.stac-item
2023-10-15 10:07:28	ga_s2bm_ard_3-2-1_54HWD_2023-10-15_final.stac-item
2023-10-15 10:07:32	ga_s2bm_ard_3-2-1_54HVD_2023-10-15_final.stac-item

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

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