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
2023-10-12 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-10-12_final.stac-item
2023-10-12 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-12_final.stac-item
2023-10-12 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-12_final.stac-item
2023-10-12 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-10-12_final.stac-item
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final.stac-item
2023-10-12 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2023-10-12_final.stac-item
2023-10-12 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-12_final.stac-item
2023-10-12 11:37:27	ga_s2bm_ard_3-2-1_51HUA_2023-10-12_nrt.stac-item
2023-10-12 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2023-10-12_final.stac-item
2023-10-12 11:37:30	ga_s2bm_ard_3-2-1_51HTA_2023-10-12_nrt.stac-item
2023-10-12 11:37:30	ga_s2bm_ard_3-2-1_50HQF_2023-10-12_nrt.stac-item
2023-10-12 11:37:32	ga_s2bm_ard_3-2-1_50HPF_2023-10-12_nrt.stac-item
2023-10-12 11:37:34	ga_s2bm_ard_3-2-1_50HNF_2023-10-12_nrt.stac-item
2023-10-13 09:23:10	ga_s2bm_ard_3-2-1_56KPV_2023-10-12_nrt.stac-item
2023-10-13 09:24:08	ga_s2bm_ard_3-2-1_56JPR_2023-10-12_nrt.stac-item
2023-10-13 09:24:11	ga_s2bm_ard_3-2-1_56JNR_2023-10-12_final.stac-item
2023-10-13 09:24:26	ga_s2bm_ard_3-2-1_56JNQ_2023-10-12_final.stac-item
2023-10-13 09:24:30	ga_s2bm_ard_3-2-1_56JMQ_2023-10-12_final.stac-item
2023-10-13 09:24:37	ga_s2bm_ard_3-2-1_56JPP_2023-10-12_nrt.stac-item
2023-10-13 09:24:40	ga_s2bm_ard_3-2-1_56JNP_2023-10-12_final.stac-item
2023-10-13 09:24:43	ga_s2bm_ard_3-2-1_56JMP_2023-10-12_final.stac-item
2023-10-13 09:25:09	ga_s2bm_ard_3-2-1_56JNM_2023-10-12_final.stac-item
2023-10-13 09:25:13	ga_s2bm_ard_3-2-1_56JMM_2023-10-12_final.stac-item
2023-10-13 09:25:20	ga_s2bm_ard_3-2-1_56JPL_2023-10-12_nrt.stac-item
2023-10-13 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2023-10-12_final.stac-item
2023-10-13 09:25:27	ga_s2bm_ard_3-2-1_56JML_2023-10-12_final.stac-item
2023-10-13 09:25:32	ga_s2bm_ard_3-2-1_56JLL_2023-10-12_final.stac-item
2023-10-13 09:25:38	ga_s2bm_ard_3-2-1_56HNK_2023-10-12_nrt.stac-item
2023-10-13 09:25:42	ga_s2bm_ard_3-2-1_56HMK_2023-10-12_final.stac-item
2023-10-13 09:26:07	ga_s2bm_ard_3-2-1_56HNH_2023-10-12_nrt.stac-item
2023-10-13 09:26:11	ga_s2bm_ard_3-2-1_56HMH_2023-10-12_nrt.stac-item
2023-10-13 09:26:14	ga_s2bm_ard_3-2-1_56HPG_2023-10-12_nrt.stac-item
2023-10-13 09:26:21	ga_s2bm_ard_3-2-1_56HNG_2023-10-12_nrt.stac-item
2023-10-13 09:26:25	ga_s2bm_ard_3-2-1_56HMG_2023-10-12_nrt.stac-item
2023-10-13 09:26:29	ga_s2bm_ard_3-2-1_56HLG_2023-10-12_final.stac-item
2023-10-13 09:26:34	ga_s2bm_ard_3-2-1_56HKG_2023-10-12_final.stac-item
2023-10-13 09:26:36	ga_s2bm_ard_3-2-1_56HNF_2023-10-12_nrt.stac-item
2023-10-13 09:26:40	ga_s2bm_ard_3-2-1_56HMF_2023-10-12_nrt.stac-item
2023-10-13 09:26:43	ga_s2bm_ard_3-2-1_56HLF_2023-10-12_nrt.stac-item
2023-10-13 09:26:46	ga_s2bm_ard_3-2-1_56HKF_2023-10-12_final.stac-item
2023-10-13 09:26:51	ga_s2bm_ard_3-2-1_56HNE_2023-10-12_nrt.stac-item
2023-10-13 09:26:54	ga_s2bm_ard_3-2-1_56HME_2023-10-12_nrt.stac-item
2023-10-13 09:26:58	ga_s2bm_ard_3-2-1_56HLE_2023-10-12_nrt.stac-item
2023-10-13 09:27:01	ga_s2bm_ard_3-2-1_56HKE_2023-10-12_nrt.stac-item
2023-10-13 09:27:03	ga_s2bm_ard_3-2-1_55HGV_2023-10-12_final.stac-item
2023-10-13 09:27:05	ga_s2bm_ard_3-2-1_56HND_2023-10-12_nrt.stac-item
2023-10-13 09:27:09	ga_s2bm_ard_3-2-1_56HMD_2023-10-12_nrt.stac-item
2023-10-13 09:27:12	ga_s2bm_ard_3-2-1_56HLD_2023-10-12_nrt.stac-item
2023-10-13 09:27:16	ga_s2bm_ard_3-2-1_56HKD_2023-10-12_nrt.stac-item
2023-10-13 09:27:16	ga_s2bm_ard_3-2-1_55HGU_2023-10-12_final.stac-item
2023-10-13 09:27:45	ga_s2bm_ard_3-2-1_55HGS_2023-10-12_nrt.stac-item
2023-10-13 09:27:51	ga_s2bm_ard_3-2-1_55HFS_2023-10-12_final.stac-item
2023-10-13 09:27:52	ga_s2bm_ard_3-2-1_56GMA_2023-10-12_nrt.stac-item
2023-10-13 09:27:56	ga_s2bm_ard_3-2-1_56GLA_2023-10-12_nrt.stac-item
2023-10-13 09:27:59	ga_s2bm_ard_3-2-1_56GKA_2023-10-12_nrt.stac-item
2023-10-13 09:28:00	ga_s2bm_ard_3-2-1_55GGR_2023-10-12_nrt.stac-item
2023-10-13 09:28:03	ga_s2bm_ard_3-2-1_55GFR_2023-10-12_final.stac-item
2023-10-13 09:28:07	ga_s2bm_ard_3-2-1_56GMV_2023-10-12_nrt.stac-item
2023-10-13 09:28:11	ga_s2bm_ard_3-2-1_56GLV_2023-10-12_nrt.stac-item
2023-10-13 09:28:14	ga_s2bm_ard_3-2-1_56GKV_2023-10-12_nrt.stac-item
2023-10-13 09:28:14	ga_s2bm_ard_3-2-1_55GGQ_2023-10-12_nrt.stac-item
2023-10-13 09:28:18	ga_s2bm_ard_3-2-1_55GFQ_2023-10-12_final.stac-item
2023-10-13 09:28:20	ga_s2bm_ard_3-2-1_56GMU_2023-10-12_nrt.stac-item
2023-10-13 09:28:25	ga_s2bm_ard_3-2-1_56GLU_2023-10-12_nrt.stac-item
2023-10-13 09:28:28	ga_s2bm_ard_3-2-1_56GKU_2023-10-12_nrt.stac-item
2023-10-13 09:28:32	ga_s2bm_ard_3-2-1_55GFP_2023-10-12_final.stac-item
2023-10-13 09:28:38	ga_s2bm_ard_3-2-1_55GGP_2023-10-12_nrt.stac-item
2023-10-13 09:28:38	ga_s2bm_ard_3-2-1_55GEP_2023-10-12_final.stac-item
2023-10-13 09:28:39	ga_s2bm_ard_3-2-1_55GFP_2023-10-12_final.stac-item
2023-10-13 09:28:41	ga_s2bm_ard_3-2-1_55GEP_2023-10-12_final.stac-item
2023-10-13 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2023-10-13_final.stac-item
2023-10-13 11:00:51	ga_s2bm_ard_3-2-1_52LGM_2023-10-13_final.stac-item
2023-10-13 11:02:27	ga_s2bm_ard_3-2-1_53KKV_2023-10-13_final.stac-item
2023-10-13 11:02:28	ga_s2bm_ard_3-2-1_52KHE_2023-10-13_final.stac-item
2023-10-13 11:02:31	ga_s2bm_ard_3-2-1_52KGE_2023-10-13_final.stac-item
2023-10-13 11:02:34	ga_s2bm_ard_3-2-1_52KFE_2023-10-13_final.stac-item
2023-10-13 11:03:04	ga_s2bm_ard_3-2-1_52KFC_2023-10-13_final.stac-item
2023-10-13 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2023-10-13_final.stac-item
2023-10-13 11:03:33	ga_s2bm_ard_3-2-1_52KFA_2023-10-13_final.stac-item
2023-10-13 11:03:48	ga_s2bm_ard_3-2-1_52KFV_2023-10-13_final.stac-item
2023-10-13 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2023-10-13_final.stac-item
2023-10-13 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2023-10-13_final.stac-item
2023-10-13 11:04:49	ga_s2bm_ard_3-2-1_52JER_2023-10-13_final.stac-item
2023-10-13 11:04:52	ga_s2bm_ard_3-2-1_52JDR_2023-10-13_final.stac-item
2023-10-13 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2023-10-13_final.stac-item
2023-10-13 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2023-10-13_final.stac-item
2023-10-13 11:05:07	ga_s2bm_ard_3-2-1_52JDQ_2023-10-13_final.stac-item
2023-10-13 11:05:15	ga_s2bm_ard_3-2-1_52JFP_2023-10-13_final.stac-item
2023-10-13 11:05:18	ga_s2bm_ard_3-2-1_52JEP_2023-10-13_final.stac-item
2023-10-13 11:05:22	ga_s2bm_ard_3-2-1_52JDP_2023-10-13_final.stac-item
2023-10-13 11:05:25	ga_s2bm_ard_3-2-1_52JCP_2023-10-13_final.stac-item
2023-10-13 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2023-10-13_final.stac-item
2023-10-13 11:05:51	ga_s2bm_ard_3-2-1_52JDM_2023-10-13_final.stac-item
2023-10-13 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2023-10-13_final.stac-item
2023-10-13 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2023-10-13_final.stac-item
2023-10-13 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2023-10-13_final.stac-item
2023-10-13 11:06:16	ga_s2bm_ard_3-2-1_52HEK_2023-10-13_nrt.stac-item
2023-10-13 11:06:20	ga_s2bm_ard_3-2-1_52HDK_2023-10-13_final.stac-item
2023-10-13 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2023-10-13_final.stac-item
2023-10-13 11:06:35	ga_s2bm_ard_3-2-1_52HBJ_2023-10-13_nrt.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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