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
2023-05-25 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-05-25_nrt.stac-item
2023-05-25 11:37:37	ga_s2bm_ard_3-2-1_50HNF_2023-05-25_nrt.stac-item
2023-05-26 09:22:45	ga_s2bm_ard_3-2-1_56KPB_2023-05-25_final.stac-item
2023-05-26 09:22:58	ga_s2bm_ard_3-2-1_56KPA_2023-05-25_nrt.stac-item
2023-05-26 09:23:56	ga_s2bm_ard_3-2-1_56JPS_2023-05-25_nrt.stac-item
2023-05-26 09:24:10	ga_s2bm_ard_3-2-1_56JPR_2023-05-25_nrt.stac-item
2023-05-26 09:24:14	ga_s2bm_ard_3-2-1_56JNR_2023-05-25_final.stac-item
2023-05-26 09:24:25	ga_s2bm_ard_3-2-1_56JPQ_2023-05-25_nrt.stac-item
2023-05-26 09:24:39	ga_s2bm_ard_3-2-1_56JPP_2023-05-25_nrt.stac-item
2023-05-26 09:24:54	ga_s2bm_ard_3-2-1_56JPN_2023-05-25_nrt.stac-item
2023-05-26 09:24:57	ga_s2bm_ard_3-2-1_56JNN_2023-05-25_final.stac-item
2023-05-26 09:25:01	ga_s2bm_ard_3-2-1_56JMN_2023-05-25_final.stac-item
2023-05-26 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-05-25_nrt.stac-item
2023-05-26 09:25:12	ga_s2bm_ard_3-2-1_56JNM_2023-05-25_final.stac-item
2023-05-26 09:25:15	ga_s2bm_ard_3-2-1_56JMM_2023-05-25_final.stac-item
2023-05-26 09:25:22	ga_s2bm_ard_3-2-1_56JPL_2023-05-25_nrt.stac-item
2023-05-26 09:25:37	ga_s2bm_ard_3-2-1_56HPK_2023-05-25_nrt.stac-item
2023-05-26 09:25:41	ga_s2bm_ard_3-2-1_56HNK_2023-05-25_nrt.stac-item
2023-05-26 09:25:44	ga_s2bm_ard_3-2-1_56HMK_2023-05-25_final.stac-item
2023-05-26 09:25:47	ga_s2bm_ard_3-2-1_56HLK_2023-05-25_final.stac-item
2023-05-26 09:25:52	ga_s2bm_ard_3-2-1_56HPJ_2023-05-25_nrt.stac-item
2023-05-26 09:25:55	ga_s2bm_ard_3-2-1_56HNJ_2023-05-25_nrt.stac-item
2023-05-26 09:25:59	ga_s2bm_ard_3-2-1_56HMJ_2023-05-25_final.stac-item
2023-05-26 09:26:02	ga_s2bm_ard_3-2-1_56HLJ_2023-05-25_final.stac-item
2023-05-26 09:26:05	ga_s2bm_ard_3-2-1_56HPH_2023-05-25_nrt.stac-item
2023-05-26 09:26:16	ga_s2bm_ard_3-2-1_56HPG_2023-05-25_nrt.stac-item
2023-05-26 09:26:31	ga_s2bm_ard_3-2-1_56HLG_2023-05-25_final.stac-item
2023-05-26 09:26:36	ga_s2bm_ard_3-2-1_56HKG_2023-05-25_final.stac-item
2023-05-26 09:26:46	ga_s2bm_ard_3-2-1_56HLF_2023-05-25_nrt.stac-item
2023-05-26 09:26:49	ga_s2bm_ard_3-2-1_56HKF_2023-05-25_final.stac-item
2023-05-26 09:27:05	ga_s2bm_ard_3-2-1_55HGV_2023-05-25_final.stac-item
2023-05-26 09:27:07	ga_s2bm_ard_3-2-1_56HND_2023-05-25_nrt.stac-item
2023-05-26 09:27:11	ga_s2bm_ard_3-2-1_56HMD_2023-05-25_nrt.stac-item
2023-05-26 09:27:15	ga_s2bm_ard_3-2-1_56HLD_2023-05-25_nrt.stac-item
2023-05-26 09:27:18	ga_s2bm_ard_3-2-1_56HKD_2023-05-25_nrt.stac-item
2023-05-26 09:27:19	ga_s2bm_ard_3-2-1_55HGU_2023-05-25_final.stac-item
2023-05-26 09:27:19	ga_s2bm_ard_3-2-1_56HNC_2023-05-25_nrt.stac-item
2023-05-26 09:27:26	ga_s2bm_ard_3-2-1_56HMC_2023-05-25_nrt.stac-item
2023-05-26 09:27:29	ga_s2bm_ard_3-2-1_56HLC_2023-05-25_nrt.stac-item
2023-05-26 09:27:33	ga_s2bm_ard_3-2-1_56HKC_2023-05-25_nrt.stac-item
2023-05-26 09:27:34	ga_s2bm_ard_3-2-1_55HGT_2023-05-25_nrt.stac-item
2023-05-26 09:27:44	ga_s2bm_ard_3-2-1_56HLB_2023-05-25_nrt.stac-item
2023-05-26 09:27:48	ga_s2bm_ard_3-2-1_55HGS_2023-05-25_nrt.stac-item
2023-05-26 09:27:54	ga_s2bm_ard_3-2-1_55HFS_2023-05-25_final.stac-item
2023-05-26 09:28:33	ga_s2bm_ard_3-2-1_56GMT_2023-05-25_nrt.stac-item
2023-05-26 09:28:41	ga_s2bm_ard_3-2-1_56GLT_2023-05-25_nrt.stac-item
2023-05-26 09:28:43	ga_s2bm_ard_3-2-1_55GGN_2023-05-25_nrt.stac-item
2023-05-26 09:28:45	ga_s2bm_ard_3-2-1_55GFN_2023-05-25_final.stac-item
2023-05-26 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2023-05-25_final.stac-item
2023-05-26 09:28:47	ga_s2bm_ard_3-2-1_56GLS_2023-05-25_nrt.stac-item
2023-05-26 09:28:48	ga_s2bm_ard_3-2-1_56GLT_2023-05-25_nrt.stac-item
2023-05-26 09:28:50	ga_s2bm_ard_3-2-1_55GGN_2023-05-25_nrt.stac-item
2023-05-26 09:28:52	ga_s2bm_ard_3-2-1_55GFN_2023-05-25_final.stac-item
2023-05-26 09:28:54	ga_s2bm_ard_3-2-1_55GEN_2023-05-25_final.stac-item
2023-05-26 09:28:57	ga_s2bm_ard_3-2-1_56GLS_2023-05-25_nrt.stac-item
2023-05-26 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-05-25_nrt.stac-item
2023-05-26 09:29:01	ga_s2bm_ard_3-2-1_55GFM_2023-05-25_nrt.stac-item
2023-05-26 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2023-05-25_final.stac-item
2023-05-26 11:00:12	ga_s2bm_ard_3-2-1_53LMJ_2023-05-26_nrt.stac-item
2023-05-26 11:00:16	ga_s2bm_ard_3-2-1_53LLJ_2023-05-26_nrt.stac-item
2023-05-26 11:00:19	ga_s2bm_ard_3-2-1_53LKJ_2023-05-26_final.stac-item
2023-05-26 11:00:27	ga_s2bm_ard_3-2-1_53LMH_2023-05-26_final.stac-item
2023-05-26 11:00:30	ga_s2bm_ard_3-2-1_53LLH_2023-05-26_final.stac-item
2023-05-26 11:00:33	ga_s2bm_ard_3-2-1_53LKH_2023-05-26_final.stac-item
2023-05-26 11:00:35	ga_s2bm_ard_3-2-1_52LHN_2023-05-26_final.stac-item
2023-05-26 11:00:42	ga_s2bm_ard_3-2-1_52LGN_2023-05-26_final.stac-item
2023-05-26 11:00:53	ga_s2bm_ard_3-2-1_52LGM_2023-05-26_final.stac-item
2023-05-26 11:01:44	ga_s2bm_ard_3-2-1_52LFJ_2023-05-26_final.stac-item
2023-05-26 11:01:55	ga_s2bm_ard_3-2-1_52LFH_2023-05-26_final.stac-item
2023-05-26 11:01:56	ga_s2bm_ard_3-2-1_53KLB_2023-05-26_final.stac-item
2023-05-26 11:02:43	ga_s2bm_ard_3-2-1_52KFE_2023-05-26_final.stac-item
2023-05-26 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2023-05-26_final.stac-item
2023-05-26 11:03:21	ga_s2bm_ard_3-2-1_52KFB_2023-05-26_final.stac-item
2023-05-26 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2023-05-26_final.stac-item
2023-05-26 11:03:36	ga_s2bm_ard_3-2-1_52KFA_2023-05-26_final.stac-item
2023-05-26 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-05-26_final.stac-item
2023-05-26 11:04:34	ga_s2bm_ard_3-2-1_52JFS_2023-05-26_final.stac-item
2023-05-26 11:04:40	ga_s2bm_ard_3-2-1_52JGR_2023-05-26_final.stac-item
2023-05-26 11:04:48	ga_s2bm_ard_3-2-1_52JFR_2023-05-26_final.stac-item
2023-05-26 11:04:52	ga_s2bm_ard_3-2-1_52JER_2023-05-26_final.stac-item
2023-05-26 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2023-05-26_final.stac-item
2023-05-26 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2023-05-26_final.stac-item
2023-05-26 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2023-05-26_final.stac-item
2023-05-26 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2023-05-26_final.stac-item
2023-05-26 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2023-05-26_final.stac-item
2023-05-26 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-05-26_final.stac-item
2023-05-26 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-05-26_final.stac-item
2023-05-26 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-05-26_final.stac-item
2023-05-26 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2023-05-26_final.stac-item
2023-05-26 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2023-05-26_final.stac-item
2023-05-26 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2023-05-26_final.stac-item
2023-05-26 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2023-05-26_final.stac-item
2023-05-26 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2023-05-26_final.stac-item
2023-05-26 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2023-05-26_final.stac-item
2023-05-26 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-05-26_final.stac-item
2023-05-26 11:06:19	ga_s2bm_ard_3-2-1_52HEK_2023-05-26_nrt.stac-item
2023-05-26 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-05-26_final.stac-item
2023-05-26 11:06:26	ga_s2bm_ard_3-2-1_52HCK_2023-05-26_final.stac-item
2023-05-26 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2023-05-26_final.stac-item
2023-05-26 11:06:33	ga_s2bm_ard_3-2-1_52HEJ_2023-05-26_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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