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
2023-12-23 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-12-23_final.stac-item
2023-12-23 12:14:32	ga_s2bm_ard_3-2-1_49KFP_2023-12-23_nrt.stac-item
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final.stac-item
2023-12-23 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-12-23_final.stac-item
2023-12-23 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-23_final.stac-item
2023-12-23 12:15:21	ga_s2bm_ard_3-2-1_49JFK_2023-12-23_nrt.stac-item
2023-12-24 08:31:43	ga_s2bm_ard_3-2-1_57FVV_2023-12-23_final.stac-item
2023-12-24 09:59:45	ga_s2bm_ard_3-2-1_55LGJ_2023-12-24_nrt.stac-item
2023-12-24 09:59:48	ga_s2bm_ard_3-2-1_55LFJ_2023-12-24_nrt.stac-item
2023-12-24 09:59:52	ga_s2bm_ard_3-2-1_55LEJ_2023-12-24_nrt.stac-item
2023-12-24 10:00:03	ga_s2bm_ard_3-2-1_55LFH_2023-12-24_nrt.stac-item
2023-12-24 10:00:06	ga_s2bm_ard_3-2-1_55LEH_2023-12-24_nrt.stac-item
2023-12-24 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2023-12-24_nrt.stac-item
2023-12-24 10:00:21	ga_s2bm_ard_3-2-1_55LEG_2023-12-24_nrt.stac-item
2023-12-24 10:00:24	ga_s2bm_ard_3-2-1_55LDG_2023-12-24_nrt.stac-item
2023-12-24 10:01:15	ga_s2bm_ard_3-2-1_55LFC_2023-12-24_final.stac-item
2023-12-24 10:01:25	ga_s2bm_ard_3-2-1_55LCC_2023-12-24_final.stac-item
2023-12-24 10:02:20	ga_s2bm_ard_3-2-1_55KDU_2023-12-24_final.stac-item
2023-12-24 10:02:35	ga_s2bm_ard_3-2-1_55KDT_2023-12-24_final.stac-item
2023-12-24 10:02:38	ga_s2bm_ard_3-2-1_55KCT_2023-12-24_final.stac-item
2023-12-24 10:02:56	ga_s2bm_ard_3-2-1_55KBS_2023-12-24_final.stac-item
2023-12-24 10:03:07	ga_s2bm_ard_3-2-1_55KCR_2023-12-24_final.stac-item
2023-12-24 10:03:10	ga_s2bm_ard_3-2-1_55KEQ_2023-12-24_final.stac-item
2023-12-24 10:03:18	ga_s2bm_ard_3-2-1_55KDQ_2023-12-24_final.stac-item
2023-12-24 10:03:22	ga_s2bm_ard_3-2-1_55KCQ_2023-12-24_final.stac-item
2023-12-24 10:03:33	ga_s2bm_ard_3-2-1_55KDP_2023-12-24_final.stac-item
2023-12-24 10:03:33	ga_s2bm_ard_3-2-1_54KYV_2023-12-24_final.stac-item
2023-12-24 10:03:39	ga_s2bm_ard_3-2-1_55KBP_2023-12-24_final.stac-item
2023-12-24 10:03:44	ga_s2bm_ard_3-2-1_54KYU_2023-12-24_final.stac-item
2023-12-24 10:03:48	ga_s2bm_ard_3-2-1_55JDN_2023-12-24_final.stac-item
2023-12-24 10:03:54	ga_s2bm_ard_3-2-1_55JBN_2023-12-24_final.stac-item
2023-12-24 10:03:57	ga_s2bm_ard_3-2-1_54JYT_2023-12-24_final.stac-item
2023-12-24 10:04:02	ga_s2bm_ard_3-2-1_55JDM_2023-12-24_final.stac-item
2023-12-24 10:04:09	ga_s2bm_ard_3-2-1_55JBM_2023-12-24_final.stac-item
2023-12-24 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2023-12-24_final.stac-item
2023-12-24 10:04:27	ga_s2bm_ard_3-2-1_54JYR_2023-12-24_final.stac-item
2023-12-24 10:04:34	ga_s2bm_ard_3-2-1_55JCK_2023-12-24_final.stac-item
2023-12-24 10:04:45	ga_s2bm_ard_3-2-1_54JXQ_2023-12-24_final.stac-item
2023-12-24 10:04:52	ga_s2bm_ard_3-2-1_55JBJ_2023-12-24_final.stac-item
2023-12-24 10:05:09	ga_s2bm_ard_3-2-1_55JCH_2023-12-24_final.stac-item
2023-12-24 10:05:21	ga_s2bm_ard_3-2-1_55JBG_2023-12-24_final.stac-item
2023-12-24 10:05:24	ga_s2bm_ard_3-2-1_54JYM_2023-12-24_final.stac-item
2023-12-24 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2023-12-24_final.stac-item
2023-12-24 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2023-12-24_final.stac-item
2023-12-24 10:06:34	ga_s2bm_ard_3-2-1_55HBB_2023-12-24_final.stac-item
2023-12-24 10:06:35	ga_s2bm_ard_3-2-1_54HVH_2023-12-24_final.stac-item
2023-12-24 10:06:36	ga_s2bm_ard_3-2-1_54HYG_2023-12-24_final.stac-item
2023-12-24 10:06:40	ga_s2bm_ard_3-2-1_54HXG_2023-12-24_final.stac-item
2023-12-24 10:07:23	ga_s2bm_ard_3-2-1_54HXD_2023-12-24_final.stac-item
2023-12-24 10:07:27	ga_s2bm_ard_3-2-1_54HWD_2023-12-24_final.stac-item
2023-12-24 10:07:36	ga_s2bm_ard_3-2-1_54HUD_2023-12-24_final.stac-item
2023-12-24 10:07:50	ga_s2bm_ard_3-2-1_54HXB_2023-12-24_nrt.stac-item
2023-12-24 10:07:51	ga_s2bm_ard_3-2-1_54HWB_2023-12-24_nrt.stac-item
2023-12-24 10:07:53	ga_s2bm_ard_3-2-1_54HVB_2023-12-24_nrt.stac-item
2023-12-24 10:07:54	ga_s2bm_ard_3-2-1_54HUB_2023-12-24_nrt.stac-item
2023-12-24 11:40:29	ga_s2bm_ard_3-2-1_51LWJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:33	ga_s2bm_ard_3-2-1_51LVJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:36	ga_s2bm_ard_3-2-1_51LUJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:40	ga_s2bm_ard_3-2-1_51LXH_2023-12-24_nrt.stac-item
2023-12-24 11:40:44	ga_s2bm_ard_3-2-1_51LWH_2023-12-24_nrt.stac-item
2023-12-24 11:40:47	ga_s2bm_ard_3-2-1_51LVH_2023-12-24_nrt.stac-item
2023-12-24 11:40:50	ga_s2bm_ard_3-2-1_51LUH_2023-12-24_nrt.stac-item
2023-12-24 11:40:55	ga_s2bm_ard_3-2-1_51LXG_2023-12-24_nrt.stac-item
2023-12-24 11:41:02	ga_s2bm_ard_3-2-1_51LVG_2023-12-24_final.stac-item
2023-12-24 11:41:05	ga_s2bm_ard_3-2-1_51LUG_2023-12-24_nrt.stac-item
2023-12-24 11:41:42	ga_s2bm_ard_3-2-1_51LWD_2023-12-24_nrt.stac-item
2023-12-24 11:42:03	ga_s2bm_ard_3-2-1_51LUC_2023-12-24_final.stac-item
2023-12-24 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-24_final.stac-item
2023-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-24_final.stac-item
2023-12-24 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-12-24_final.stac-item
2023-12-24 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2023-12-24_final.stac-item
2023-12-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-12-24_final.stac-item
2023-12-24 11:43:28	ga_s2bm_ard_3-2-1_51KTS_2023-12-24_final.stac-item
2023-12-24 11:43:30	ga_s2bm_ard_3-2-1_50KQC_2023-12-24_final.stac-item
2023-12-24 11:43:30	ga_s2bm_ard_3-2-1_50KQB_2023-12-24_final.stac-item
2023-12-24 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2023-12-24_final.stac-item
2023-12-24 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2023-12-24_final.stac-item
2023-12-24 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2023-12-24_final.stac-item
2023-12-24 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2023-12-24_final.stac-item
2023-12-24 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2023-12-24_final.stac-item
2023-12-24 11:44:07	ga_s2bm_ard_3-2-1_50KQV_2023-12-24_final.stac-item
2023-12-24 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2023-12-24_final.stac-item
2023-12-24 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2023-12-24_final.stac-item
2023-12-24 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2023-12-24_final.stac-item
2023-12-24 11:44:24	ga_s2bm_ard_3-2-1_50KPU_2023-12-24_final.stac-item
2023-12-24 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2023-12-24_final.stac-item
2023-12-24 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2023-12-24_final.stac-item
2023-12-24 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2023-12-24_final.stac-item
2023-12-24 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2023-12-24_final.stac-item
2023-12-24 11:45:01	ga_s2bm_ard_3-2-1_51JTL_2023-12-24_final.stac-item
2023-12-24 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2023-12-24_final.stac-item
2023-12-24 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2023-12-24_final.stac-item
2023-12-24 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2023-12-24_final.stac-item
2023-12-24 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2023-12-24_final.stac-item
2023-12-24 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2023-12-24_final.stac-item
2023-12-24 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-12-24_final.stac-item
2023-12-24 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-12-24_final.stac-item
2023-12-24 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2023-12-24_final.stac-item
2023-12-24 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-12-24_final.stac-item
2023-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-12-24_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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