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
2023-09-14 12:14:19	ga_s2bm_ard_3-2-1_49KFQ_2023-09-14_nrt.stac-item
2023-09-14 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-09-14_final.stac-item
2023-09-14 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-09-14_final.stac-item
2023-09-14 12:15:23	ga_s2bm_ard_3-2-1_49JFK_2023-09-14_nrt.stac-item
2023-09-15 09:59:41	ga_s2bm_ard_3-2-1_55LHJ_2023-09-15_nrt.stac-item
2023-09-15 10:00:05	ga_s2bm_ard_3-2-1_55LFH_2023-09-15_nrt.stac-item
2023-09-15 10:00:08	ga_s2bm_ard_3-2-1_55LEH_2023-09-15_nrt.stac-item
2023-09-15 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-09-15_nrt.stac-item
2023-09-15 10:00:15	ga_s2bm_ard_3-2-1_55LGG_2023-09-15_nrt.stac-item
2023-09-15 10:01:02	ga_s2bm_ard_3-2-1_55LFD_2023-09-15_nrt.stac-item
2023-09-15 10:01:14	ga_s2bm_ard_3-2-1_55LCD_2023-09-15_final.stac-item
2023-09-15 10:01:35	ga_s2bm_ard_3-2-1_55KEB_2023-09-15_final.stac-item
2023-09-15 10:01:38	ga_s2bm_ard_3-2-1_55KDB_2023-09-15_final.stac-item
2023-09-15 10:01:41	ga_s2bm_ard_3-2-1_55KCB_2023-09-15_final.stac-item
2023-09-15 10:01:45	ga_s2bm_ard_3-2-1_55KFA_2023-09-15_final.stac-item
2023-09-15 10:02:04	ga_s2bm_ard_3-2-1_55KEV_2023-09-15_final.stac-item
2023-09-15 10:02:07	ga_s2bm_ard_3-2-1_55KDV_2023-09-15_final.stac-item
2023-09-15 10:02:17	ga_s2bm_ard_3-2-1_55KBV_2023-09-15_final.stac-item
2023-09-15 10:02:18	ga_s2bm_ard_3-2-1_55KEU_2023-09-15_final.stac-item
2023-09-15 10:02:22	ga_s2bm_ard_3-2-1_55KDU_2023-09-15_final.stac-item
2023-09-15 10:02:25	ga_s2bm_ard_3-2-1_55KCU_2023-09-15_final.stac-item
2023-09-15 10:02:57	ga_s2bm_ard_3-2-1_54KZB_2023-09-15_final.stac-item
2023-09-15 10:03:12	ga_s2bm_ard_3-2-1_54KZA_2023-09-15_final.stac-item
2023-09-15 10:03:26	ga_s2bm_ard_3-2-1_55KBQ_2023-09-15_final.stac-item
2023-09-15 10:03:27	ga_s2bm_ard_3-2-1_54KZV_2023-09-15_final.stac-item
2023-09-15 10:03:35	ga_s2bm_ard_3-2-1_54KYV_2023-09-15_final.stac-item
2023-09-15 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-09-15_final.stac-item
2023-09-15 10:03:41	ga_s2bm_ard_3-2-1_55KBP_2023-09-15_final.stac-item
2023-09-15 10:03:41	ga_s2bm_ard_3-2-1_54KZU_2023-09-15_final.stac-item
2023-09-15 10:03:55	ga_s2bm_ard_3-2-1_54JZT_2023-09-15_final.stac-item
2023-09-15 10:04:03	ga_s2bm_ard_3-2-1_55JDM_2023-09-15_final.stac-item
2023-09-15 10:04:10	ga_s2bm_ard_3-2-1_54JZS_2023-09-15_final.stac-item
2023-09-15 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2023-09-15_final.stac-item
2023-09-15 10:04:28	ga_s2bm_ard_3-2-1_54JYR_2023-09-15_final.stac-item
2023-09-15 10:04:35	ga_s2bm_ard_3-2-1_54JXR_2023-09-15_final.stac-item
2023-09-15 10:04:36	ga_s2bm_ard_3-2-1_55JCK_2023-09-15_final.stac-item
2023-09-15 10:04:46	ga_s2bm_ard_3-2-1_54JXQ_2023-09-15_final.stac-item
2023-09-15 10:05:15	ga_s2bm_ard_3-2-1_54JXN_2023-09-15_final.stac-item
2023-09-15 10:05:19	ga_s2bm_ard_3-2-1_55JCG_2023-09-15_final.stac-item
2023-09-15 10:05:23	ga_s2bm_ard_3-2-1_55JBG_2023-09-15_final.stac-item
2023-09-15 10:05:26	ga_s2bm_ard_3-2-1_54JYM_2023-09-15_final.stac-item
2023-09-15 10:05:29	ga_s2bm_ard_3-2-1_54JXM_2023-09-15_final.stac-item
2023-09-15 10:05:40	ga_s2bm_ard_3-2-1_54JYL_2023-09-15_final.stac-item
2023-09-15 10:05:48	ga_s2bm_ard_3-2-1_54JWL_2023-09-15_final.stac-item
2023-09-15 10:05:58	ga_s2bm_ard_3-2-1_54HXK_2023-09-15_final.stac-item
2023-09-15 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2023-09-15_final.stac-item
2023-09-15 10:06:27	ga_s2bm_ard_3-2-1_54HXH_2023-09-15_final.stac-item
2023-09-15 10:06:35	ga_s2bm_ard_3-2-1_55HBB_2023-09-15_final.stac-item
2023-09-15 10:06:36	ga_s2bm_ard_3-2-1_54HVH_2023-09-15_final.stac-item
2023-09-15 10:06:38	ga_s2bm_ard_3-2-1_54HYG_2023-09-15_final.stac-item
2023-09-15 10:06:45	ga_s2bm_ard_3-2-1_54HWG_2023-09-15_final.stac-item
2023-09-15 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2023-09-15_final.stac-item
2023-09-15 10:06:58	ga_s2bm_ard_3-2-1_55HBV_2023-09-15_final.stac-item
2023-09-15 10:07:00	ga_s2bm_ard_3-2-1_54HWF_2023-09-15_final.stac-item
2023-09-15 10:07:03	ga_s2bm_ard_3-2-1_54HVF_2023-09-15_final.stac-item
2023-09-15 10:07:06	ga_s2bm_ard_3-2-1_54HYE_2023-09-15_final.stac-item
2023-09-15 10:07:18	ga_s2bm_ard_3-2-1_54HVE_2023-09-15_final.stac-item
2023-09-15 10:07:50	ga_s2bm_ard_3-2-1_54HXB_2023-09-15_nrt.stac-item
2023-09-15 10:07:51	ga_s2bm_ard_3-2-1_54HWB_2023-09-15_nrt.stac-item
2023-09-15 10:07:52	ga_s2bm_ard_3-2-1_54HVB_2023-09-15_nrt.stac-item
2023-09-15 11:40:42	ga_s2bm_ard_3-2-1_51LXH_2023-09-15_nrt.stac-item
2023-09-15 11:40:46	ga_s2bm_ard_3-2-1_51LWH_2023-09-15_nrt.stac-item
2023-09-15 11:40:49	ga_s2bm_ard_3-2-1_51LVH_2023-09-15_nrt.stac-item
2023-09-15 11:40:52	ga_s2bm_ard_3-2-1_51LUH_2023-09-15_nrt.stac-item
2023-09-15 11:41:50	ga_s2bm_ard_3-2-1_51LUD_2023-09-15_final.stac-item
2023-09-15 11:42:08	ga_s2bm_ard_3-2-1_51LTC_2023-09-15_nrt.stac-item
2023-09-15 11:42:10	ga_s2bm_ard_3-2-1_50LRH_2023-09-15_nrt.stac-item
2023-09-15 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-09-15_final.stac-item
2023-09-15 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-09-15_final.stac-item
2023-09-15 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-09-15_final.stac-item
2023-09-15 11:42:22	ga_s2bm_ard_3-2-1_51KTB_2023-09-15_nrt.stac-item
2023-09-15 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-09-15_final.stac-item
2023-09-15 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2023-09-15_final.stac-item
2023-09-15 11:42:38	ga_s2bm_ard_3-2-1_50KRF_2023-09-15_nrt.stac-item
2023-09-15 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-09-15_final.stac-item
2023-09-15 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-09-15_final.stac-item
2023-09-15 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2023-09-15_final.stac-item
2023-09-15 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2023-09-15_final.stac-item
2023-09-15 11:43:50	ga_s2bm_ard_3-2-1_50KRA_2023-09-15_final.stac-item
2023-09-15 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2023-09-15_final.stac-item
2023-09-15 11:44:08	ga_s2bm_ard_3-2-1_50KQV_2023-09-15_final.stac-item
2023-09-15 11:44:13	ga_s2bm_ard_3-2-1_50KPV_2023-09-15_final.stac-item
2023-09-15 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2023-09-15_final.stac-item
2023-09-15 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2023-09-15_final.stac-item
2023-09-15 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2023-09-15_final.stac-item
2023-09-15 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2023-09-15_final.stac-item
2023-09-15 11:45:06	ga_s2bm_ard_3-2-1_50JQR_2023-09-15_final.stac-item
2023-09-15 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2023-09-15_final.stac-item
2023-09-15 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2023-09-15_final.stac-item
2023-09-15 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-09-15_final.stac-item
2023-09-15 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2023-09-15_final.stac-item
2023-09-15 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2023-09-15_final.stac-item
2023-09-15 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-09-15_final.stac-item
2023-09-15 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2023-09-15_final.stac-item
2023-09-15 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-09-15_final.stac-item
2023-09-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-09-15_final.stac-item
2023-09-15 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-09-15_final.stac-item
2023-09-15 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-09-15_final.stac-item
2023-09-15 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-09-15_final.stac-item
2023-09-15 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-09-15_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

Other products

All years