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
2023-11-25 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2023-11-25_final.stac-item
2023-11-25 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2023-11-25_final.stac-item
2023-11-25 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2023-11-25_final.stac-item
2023-11-27 10:10:22	ga_s2bm_ard_3-2-1_54LZM_2023-11-27_final.stac-item
2023-11-27 10:13:01	ga_s2bm_ard_3-2-1_55KBR_2023-11-27_final.stac-item
2023-11-27 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2023-11-27_final.stac-item
2023-11-28 09:46:35	ga_s2bm_ard_3-2-1_55HCB_2023-11-28_final.stac-item
2023-11-28 09:47:29	ga_s2bm_ard_3-2-1_55HDT_2023-11-28_final.stac-item
2023-11-28 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2023-11-28_final.stac-item
2023-11-28 11:24:08	ga_s2bm_ard_3-2-1_51KXP_2023-11-28_final.stac-item
2023-11-28 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2023-11-28_final.stac-item
2023-11-29 10:50:24	ga_s2bm_ard_3-2-1_53LMH_2023-11-29_final.stac-item
2023-11-29 10:52:23	ga_s2bm_ard_3-2-1_53KLV_2023-11-29_final.stac-item
2023-11-30 10:19:52	ga_s2bm_ard_3-2-1_54LYP_2023-11-30_final.stac-item
2023-11-30 10:22:10	ga_s2bm_ard_3-2-1_54KWE_2023-11-30_final.stac-item
2023-11-30 10:23:58	ga_s2bm_ard_3-2-1_54JUT_2023-11-30_final.stac-item
2023-11-30 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2023-11-30_final.stac-item
2023-11-30 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2023-11-30_final.stac-item
2023-11-30 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2023-11-30_final.stac-item
2023-11-30 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2023-11-30_final.stac-item
2023-11-30 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2023-11-30_final.stac-item
2023-11-30 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2023-11-30_final.stac-item
2023-12-01 09:51:23	ga_s2bm_ard_3-2-1_55KHB_2023-12-01_final.stac-item
2023-12-01 09:53:35	ga_s2bm_ard_3-2-1_55JGN_2023-12-01_final.stac-item
2023-12-01 09:53:44	ga_s2bm_ard_3-2-1_55JEN_2023-12-01_final.stac-item
2023-12-01 09:53:45	ga_s2bm_ard_3-2-1_55JGM_2023-12-01_final.stac-item
2023-12-01 09:53:59	ga_s2bm_ard_3-2-1_55JEM_2023-12-01_final.stac-item
2023-12-01 09:54:35	ga_s2bm_ard_3-2-1_55JCK_2023-12-01_final.stac-item
2023-12-01 09:55:51	ga_s2bm_ard_3-2-1_55HED_2023-12-01_final.stac-item
2023-12-01 09:56:43	ga_s2bm_ard_3-2-1_54HXG_2023-12-01_final.stac-item
2023-12-01 11:31:56	ga_s2bm_ard_3-2-1_51KZB_2023-12-01_final.stac-item
2023-12-01 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-12-01_final.stac-item
2023-12-01 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2023-12-01_final.stac-item
2023-12-01 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-01_final.stac-item
2023-12-01 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2023-12-01_final.stac-item
2023-12-01 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2023-12-01_final.stac-item
2023-12-01 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-12-01_final.stac-item
2023-12-01 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-12-01_final.stac-item
2023-12-01 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2023-12-01_final.stac-item
2023-12-01 11:35:14	ga_s2bm_ard_3-2-1_51JTK_2023-12-01_final.stac-item
2023-12-01 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2023-12-01_final.stac-item
2023-12-01 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2023-12-01_final.stac-item
2023-12-01 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2023-12-01_final.stac-item
2023-12-01 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2023-12-01_final.stac-item
2023-12-01 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2023-12-01_final.stac-item
2023-12-01 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2023-12-01_final.stac-item
2023-12-01 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2023-12-01_final.stac-item
2023-12-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-12-01_final.stac-item
2023-12-01 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-01_final.stac-item
2023-12-02 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2023-12-01_final.stac-item
2023-12-02 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2023-12-01_final.stac-item
2023-12-02 09:28:28	ga_s2bm_ard_3-2-1_55GFP_2023-12-01_final.stac-item
2023-12-02 11:00:19	ga_s2bm_ard_3-2-1_53LMH_2023-12-02_final.stac-item
2023-12-02 11:00:33	ga_s2bm_ard_3-2-1_53LMG_2023-12-02_final.stac-item
2023-12-02 11:01:49	ga_s2bm_ard_3-2-1_53KLB_2023-12-02_final.stac-item
2023-12-02 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2023-12-02_final.stac-item
2023-12-02 11:02:59	ga_s2bm_ard_3-2-1_52KFC_2023-12-02_final.stac-item
2023-12-02 11:03:30	ga_s2bm_ard_3-2-1_52KHV_2023-12-02_final.stac-item
2023-12-02 11:04:08	ga_s2bm_ard_3-2-1_52JGT_2023-12-02_final.stac-item
2023-12-02 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-12-02_final.stac-item
2023-12-02 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2023-12-02_final.stac-item
2023-12-02 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2023-12-02_final.stac-item
2023-12-02 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2023-12-02_final.stac-item
2023-12-02 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2023-12-02_final.stac-item
2023-12-02 11:05:54	ga_s2bm_ard_3-2-1_52JEL_2023-12-02_final.stac-item
2023-12-02 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2023-12-02_final.stac-item
2023-12-02 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2023-12-02_final.stac-item
2023-12-02 11:06:21	ga_s2bm_ard_3-2-1_52HBK_2023-12-02_final.stac-item
2023-12-11 11:31:08	ga_s2bm_ard_3-2-1_51LYF_2023-12-11_nrt.stac-item
2023-12-11 11:31:10	ga_s2bm_ard_3-2-1_51LXF_2023-12-11_nrt.stac-item
2023-12-11 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-12-11_nrt.stac-item
2023-12-12 09:22:50	ga_s2bm_ard_3-2-1_56KPA_2023-12-11_nrt.stac-item
2023-12-12 09:23:24	ga_s2bm_ard_3-2-1_56KNU_2023-12-11_nrt.stac-item
2023-12-12 09:26:38	ga_s2bm_ard_3-2-1_56HLF_2023-12-11_nrt.stac-item
2023-12-12 09:26:49	ga_s2bm_ard_3-2-1_56HME_2023-12-11_nrt.stac-item
2023-12-12 09:27:04	ga_s2bm_ard_3-2-1_56HMD_2023-12-11_nrt.stac-item
2023-12-12 09:27:18	ga_s2bm_ard_3-2-1_56HMC_2023-12-11_nrt.stac-item
2023-12-12 09:27:25	ga_s2bm_ard_3-2-1_56HKC_2023-12-11_nrt.stac-item
2023-12-12 09:27:26	ga_s2bm_ard_3-2-1_55HGT_2023-12-11_nrt.stac-item
2023-12-12 09:27:33	ga_s2bm_ard_3-2-1_56HMB_2023-12-11_nrt.stac-item
2023-12-12 09:27:40	ga_s2bm_ard_3-2-1_56HKB_2023-12-11_nrt.stac-item
2023-12-12 09:27:40	ga_s2bm_ard_3-2-1_55HGS_2023-12-11_nrt.stac-item
2023-12-12 09:27:48	ga_s2bm_ard_3-2-1_56GMA_2023-12-11_nrt.stac-item
2023-12-12 09:27:51	ga_s2bm_ard_3-2-1_56GLA_2023-12-11_nrt.stac-item
2023-12-12 09:28:02	ga_s2bm_ard_3-2-1_56GMV_2023-12-11_nrt.stac-item
2023-12-12 09:28:06	ga_s2bm_ard_3-2-1_56GLV_2023-12-11_nrt.stac-item
2023-12-12 09:28:09	ga_s2bm_ard_3-2-1_56GKV_2023-12-11_nrt.stac-item
2023-12-12 09:28:15	ga_s2bm_ard_3-2-1_56GMU_2023-12-11_nrt.stac-item
2023-12-12 09:28:20	ga_s2bm_ard_3-2-1_56GLU_2023-12-11_nrt.stac-item
2023-12-12 09:28:26	ga_s2bm_ard_3-2-1_56GMT_2023-12-11_nrt.stac-item
2023-12-12 09:28:34	ga_s2bm_ard_3-2-1_56GLT_2023-12-11_nrt.stac-item
2023-12-12 09:28:49	ga_s2bm_ard_3-2-1_56GLS_2023-12-11_nrt.stac-item
2023-12-12 11:00:05	ga_s2bm_ard_3-2-1_53LMJ_2023-12-12_nrt.stac-item
2023-12-12 11:00:13	ga_s2bm_ard_3-2-1_52LHP_2023-12-12_nrt.stac-item
2023-12-12 11:06:11	ga_s2bm_ard_3-2-1_52HEK_2023-12-12_nrt.stac-item
2023-12-12 11:06:18	ga_s2bm_ard_3-2-1_52HEJ_2023-12-12_nrt.stac-item
2023-12-12 11:06:18	ga_s2bm_ard_3-2-1_52HEK_2023-12-12_nrt.stac-item
2023-12-12 11:06:25	ga_s2bm_ard_3-2-1_52HEJ_2023-12-12_nrt.stac-item
2023-12-12 11:06:27	ga_s2bm_ard_3-2-1_52HDJ_2023-12-12_nrt.stac-item
2023-12-12 11:06:29	ga_s2bm_ard_3-2-1_52HCJ_2023-12-12_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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