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
2023-10-18 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-10-18_nrt.stac-item
2023-10-18 11:57:29	ga_s2bm_ard_3-2-1_50HMF_2023-10-18_nrt.stac-item
2023-10-19 09:39:52	ga_s2bm_ard_3-2-1_56LPN_2023-10-19_nrt.stac-item
2023-10-19 09:39:58	ga_s2bm_ard_3-2-1_56LMN_2023-10-19_nrt.stac-item
2023-10-19 09:40:02	ga_s2bm_ard_3-2-1_56LLN_2023-10-19_nrt.stac-item
2023-10-19 09:41:17	ga_s2bm_ard_3-2-1_56LNH_2023-10-19_nrt.stac-item
2023-10-19 09:41:18	ga_s2bm_ard_3-2-1_56LMH_2023-10-19_nrt.stac-item
2023-10-19 09:41:19	ga_s2bm_ard_3-2-1_56LLH_2023-10-19_nrt.stac-item
2023-10-19 09:41:21	ga_s2bm_ard_3-2-1_56LKH_2023-10-19_nrt.stac-item
2023-10-19 09:41:47	ga_s2bm_ard_3-2-1_55KHA_2023-10-19_nrt.stac-item
2023-10-19 09:41:48	ga_s2bm_ard_3-2-1_56KNE_2023-10-19_nrt.stac-item
2023-10-19 09:41:55	ga_s2bm_ard_3-2-1_56KME_2023-10-19_final.stac-item
2023-10-19 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-10-19_final.stac-item
2023-10-19 09:42:09	ga_s2bm_ard_3-2-1_56KMD_2023-10-19_final.stac-item
2023-10-19 09:42:13	ga_s2bm_ard_3-2-1_56KLD_2023-10-19_final.stac-item
2023-10-19 09:42:16	ga_s2bm_ard_3-2-1_56KKD_2023-10-19_nrt.stac-item
2023-10-19 09:42:17	ga_s2bm_ard_3-2-1_55KHU_2023-10-19_nrt.stac-item
2023-10-19 09:42:30	ga_s2bm_ard_3-2-1_56KKC_2023-10-19_nrt.stac-item
2023-10-19 09:42:31	ga_s2bm_ard_3-2-1_55KHT_2023-10-19_nrt.stac-item
2023-10-19 09:42:35	ga_s2bm_ard_3-2-1_55KGT_2023-10-19_final.stac-item
2023-10-19 09:42:42	ga_s2bm_ard_3-2-1_56KLB_2023-10-19_final.stac-item
2023-10-19 09:42:45	ga_s2bm_ard_3-2-1_56KKB_2023-10-19_final.stac-item
2023-10-19 09:42:52	ga_s2bm_ard_3-2-1_56KMA_2023-10-19_final.stac-item
2023-10-19 09:42:56	ga_s2bm_ard_3-2-1_56KLA_2023-10-19_final.stac-item
2023-10-19 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2023-10-19_final.stac-item
2023-10-19 09:43:14	ga_s2bm_ard_3-2-1_56KKV_2023-10-19_final.stac-item
2023-10-19 09:44:16	ga_s2bm_ard_3-2-1_55JGL_2023-10-19_final.stac-item
2023-10-19 09:45:03	ga_s2bm_ard_3-2-1_55JFH_2023-10-19_final.stac-item
2023-10-19 09:45:11	ga_s2bm_ard_3-2-1_56JKM_2023-10-19_final.stac-item
2023-10-19 09:45:13	ga_s2bm_ard_3-2-1_55JGG_2023-10-19_final.stac-item
2023-10-19 09:45:28	ga_s2bm_ard_3-2-1_55JGF_2023-10-19_final.stac-item
2023-10-19 09:45:57	ga_s2bm_ard_3-2-1_55HGD_2023-10-19_final.stac-item
2023-10-19 09:46:01	ga_s2bm_ard_3-2-1_55HFD_2023-10-19_final.stac-item
2023-10-19 09:46:04	ga_s2bm_ard_3-2-1_55HED_2023-10-19_final.stac-item
2023-10-19 09:46:08	ga_s2bm_ard_3-2-1_55HDD_2023-10-19_final.stac-item
2023-10-19 09:46:15	ga_s2bm_ard_3-2-1_55HFC_2023-10-19_final.stac-item
2023-10-19 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2023-10-19_final.stac-item
2023-10-19 09:46:22	ga_s2bm_ard_3-2-1_55HDC_2023-10-19_final.stac-item
2023-10-19 09:46:30	ga_s2bm_ard_3-2-1_55HCC_2023-10-19_final.stac-item
2023-10-19 09:46:33	ga_s2bm_ard_3-2-1_55HEB_2023-10-19_final.stac-item
2023-10-19 09:47:21	ga_s2bm_ard_3-2-1_55HFT_2023-10-19_final.stac-item
2023-10-19 09:47:31	ga_s2bm_ard_3-2-1_55HET_2023-10-19_final.stac-item
2023-10-19 09:47:35	ga_s2bm_ard_3-2-1_55HDT_2023-10-19_final.stac-item
2023-10-19 09:47:38	ga_s2bm_ard_3-2-1_55HCT_2023-10-19_final.stac-item
2023-10-19 09:47:42	ga_s2bm_ard_3-2-1_55HBT_2023-10-19_final.stac-item
2023-10-19 09:47:46	ga_s2bm_ard_3-2-1_55HES_2023-10-19_final.stac-item
2023-10-19 09:47:46	ga_s2bm_ard_3-2-1_54HYC_2023-10-19_final.stac-item
2023-10-19 09:47:49	ga_s2bm_ard_3-2-1_55HDS_2023-10-19_final.stac-item
2023-10-19 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2023-10-19_final.stac-item
2023-10-19 09:47:57	ga_s2bm_ard_3-2-1_54HYB_2023-10-19_final.stac-item
2023-10-19 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2023-10-19_final.stac-item
2023-10-19 09:48:47	ga_s2bm_ard_3-2-1_55GDN_2023-10-19_final.stac-item
2023-10-19 09:48:51	ga_s2bm_ard_3-2-1_55GCN_2023-10-19_final.stac-item
2023-10-19 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-10-19_nrt.stac-item
2023-10-19 09:48:57	ga_s2bm_ard_3-2-1_54GXT_2023-10-19_nrt.stac-item
2023-10-19 09:48:59	ga_s2bm_ard_3-2-1_55GDM_2023-10-19_final.stac-item
2023-10-19 09:49:01	ga_s2bm_ard_3-2-1_55GCM_2023-10-19_final.stac-item
2023-10-19 09:49:02	ga_s2bm_ard_3-2-1_54GYS_2023-10-19_nrt.stac-item
2023-10-19 09:49:04	ga_s2bm_ard_3-2-1_54GXS_2023-10-19_nrt.stac-item
2023-10-19 11:20:39	ga_s2bm_ard_3-2-1_52LCN_2023-10-19_nrt.stac-item
2023-10-19 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-10-19_final.stac-item
2023-10-19 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2023-10-19_final.stac-item
2023-10-19 11:21:28	ga_s2bm_ard_3-2-1_51LZE_2023-10-19_final.stac-item
2023-10-19 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2023-10-19_final.stac-item
2023-10-19 11:21:41	ga_s2bm_ard_3-2-1_52LBJ_2023-10-19_final.stac-item
2023-10-19 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2023-10-19_final.stac-item
2023-10-19 11:21:52	ga_s2bm_ard_3-2-1_52LCH_2023-10-19_final.stac-item
2023-10-19 11:21:55	ga_s2bm_ard_3-2-1_52LBH_2023-10-19_final.stac-item
2023-10-19 11:21:57	ga_s2bm_ard_3-2-1_51LZC_2023-10-19_final.stac-item
2023-10-19 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2023-10-19_final.stac-item
2023-10-19 11:22:03	ga_s2bm_ard_3-2-1_52KDG_2023-10-19_final.stac-item
2023-10-19 11:22:10	ga_s2bm_ard_3-2-1_52KBG_2023-10-19_final.stac-item
2023-10-19 11:22:11	ga_s2bm_ard_3-2-1_51KZB_2023-10-19_final.stac-item
2023-10-19 11:22:36	ga_s2bm_ard_3-2-1_52KCE_2023-10-19_final.stac-item
2023-10-19 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2023-10-19_final.stac-item
2023-10-19 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2023-10-19_final.stac-item
2023-10-19 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-10-19_final.stac-item
2023-10-19 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-10-19_final.stac-item
2023-10-19 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2023-10-19_final.stac-item
2023-10-19 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2023-10-19_final.stac-item
2023-10-19 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-10-19_final.stac-item
2023-10-19 11:23:29	ga_s2bm_ard_3-2-1_52KCA_2023-10-19_final.stac-item
2023-10-19 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-10-19_final.stac-item
2023-10-19 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-10-19_final.stac-item
2023-10-19 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2023-10-19_final.stac-item
2023-10-19 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-10-19_final.stac-item
2023-10-19 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-10-19_final.stac-item
2023-10-19 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2023-10-19_final.stac-item
2023-10-19 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2023-10-19_final.stac-item
2023-10-19 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-10-19_final.stac-item
2023-10-19 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-10-19_final.stac-item
2023-10-19 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-10-19_final.stac-item
2023-10-19 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-10-19_final.stac-item
2023-10-19 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2023-10-19_final.stac-item
2023-10-19 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-19_final.stac-item
2023-10-19 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2023-10-19_final.stac-item
2023-10-19 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-10-19_final.stac-item
2023-10-19 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-10-19_final.stac-item
2023-10-19 11:27:11	ga_s2bm_ard_3-2-1_51HVB_2023-10-19_final.stac-item
2023-10-19 11:27:13	ga_s2bm_ard_3-2-1_51HUB_2023-10-19_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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