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
2023-05-17 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-17_final.stac-item
2023-05-17 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2023-05-17_final.stac-item
2023-05-17 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-05-17_final.stac-item
2023-05-17 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-17_final.stac-item
2023-05-17 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2023-05-17_final.stac-item
2023-05-17 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-05-17_final.stac-item
2023-05-17 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-05-17_final.stac-item
2023-05-18 10:01:19	ga_s2bm_ard_3-2-1_55LFC_2023-05-18_final.stac-item
2023-05-18 10:01:29	ga_s2bm_ard_3-2-1_55LCC_2023-05-18_final.stac-item
2023-05-18 10:01:33	ga_s2bm_ard_3-2-1_55KFB_2023-05-18_final.stac-item
2023-05-18 10:01:37	ga_s2bm_ard_3-2-1_55KEB_2023-05-18_final.stac-item
2023-05-18 10:01:40	ga_s2bm_ard_3-2-1_55KDB_2023-05-18_final.stac-item
2023-05-18 10:01:43	ga_s2bm_ard_3-2-1_55KCB_2023-05-18_final.stac-item
2023-05-18 10:01:47	ga_s2bm_ard_3-2-1_55KFA_2023-05-18_final.stac-item
2023-05-18 10:01:51	ga_s2bm_ard_3-2-1_55KEA_2023-05-18_nrt.stac-item
2023-05-18 10:01:55	ga_s2bm_ard_3-2-1_55KDA_2023-05-18_final.stac-item
2023-05-18 10:02:20	ga_s2bm_ard_3-2-1_55KEU_2023-05-18_final.stac-item
2023-05-18 10:02:24	ga_s2bm_ard_3-2-1_55KDU_2023-05-18_final.stac-item
2023-05-18 10:02:35	ga_s2bm_ard_3-2-1_55KET_2023-05-18_final.stac-item
2023-05-18 10:02:38	ga_s2bm_ard_3-2-1_55KDT_2023-05-18_final.stac-item
2023-05-18 10:03:13	ga_s2bm_ard_3-2-1_55KEQ_2023-05-18_final.stac-item
2023-05-18 10:03:14	ga_s2bm_ard_3-2-1_55KBR_2023-05-18_final.stac-item
2023-05-18 10:03:21	ga_s2bm_ard_3-2-1_55KDQ_2023-05-18_final.stac-item
2023-05-18 10:03:29	ga_s2bm_ard_3-2-1_54KZV_2023-05-18_final.stac-item
2023-05-18 10:03:36	ga_s2bm_ard_3-2-1_55KDP_2023-05-18_final.stac-item
2023-05-18 10:03:36	ga_s2bm_ard_3-2-1_54KYV_2023-05-18_final.stac-item
2023-05-18 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-05-18_final.stac-item
2023-05-18 10:03:43	ga_s2bm_ard_3-2-1_54KZU_2023-05-18_final.stac-item
2023-05-18 10:03:47	ga_s2bm_ard_3-2-1_54KYU_2023-05-18_final.stac-item
2023-05-18 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2023-05-18_final.stac-item
2023-05-18 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2023-05-18_final.stac-item
2023-05-18 10:04:12	ga_s2bm_ard_3-2-1_55JBM_2023-05-18_final.stac-item
2023-05-18 10:04:28	ga_s2bm_ard_3-2-1_55JDK_2023-05-18_final.stac-item
2023-05-18 10:04:41	ga_s2bm_ard_3-2-1_55JBK_2023-05-18_final.stac-item
2023-05-18 10:04:44	ga_s2bm_ard_3-2-1_54JYQ_2023-05-18_final.stac-item
2023-05-18 10:04:52	ga_s2bm_ard_3-2-1_55JCJ_2023-05-18_final.stac-item
2023-05-18 10:04:56	ga_s2bm_ard_3-2-1_55JBJ_2023-05-18_final.stac-item
2023-05-18 10:04:59	ga_s2bm_ard_3-2-1_54JYP_2023-05-18_final.stac-item
2023-05-18 10:05:02	ga_s2bm_ard_3-2-1_54JXP_2023-05-18_final.stac-item
2023-05-18 10:05:33	ga_s2bm_ard_3-2-1_55JBG_2023-05-18_final.stac-item
2023-05-18 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2023-05-18_final.stac-item
2023-05-18 10:05:38	ga_s2bm_ard_3-2-1_54JWM_2023-05-18_final.stac-item
2023-05-18 10:05:46	ga_s2bm_ard_3-2-1_54JXL_2023-05-18_final.stac-item
2023-05-18 10:05:54	ga_s2bm_ard_3-2-1_55HBE_2023-05-18_final.stac-item
2023-05-18 10:05:56	ga_s2bm_ard_3-2-1_54HYK_2023-05-18_final.stac-item
2023-05-18 10:06:04	ga_s2bm_ard_3-2-1_54HWK_2023-05-18_final.stac-item
2023-05-18 10:06:23	ga_s2bm_ard_3-2-1_55HBC_2023-05-18_final.stac-item
2023-05-18 10:06:25	ga_s2bm_ard_3-2-1_54HYH_2023-05-18_final.stac-item
2023-05-18 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2023-05-18_final.stac-item
2023-05-18 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2023-05-18_final.stac-item
2023-05-18 10:06:44	ga_s2bm_ard_3-2-1_54HXG_2023-05-18_final.stac-item
2023-05-18 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-05-18_final.stac-item
2023-05-18 10:07:12	ga_s2bm_ard_3-2-1_54HXE_2023-05-18_final.stac-item
2023-05-18 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-05-18_final.stac-item
2023-05-18 10:07:19	ga_s2bm_ard_3-2-1_54HYD_2023-05-18_final.stac-item
2023-05-18 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2023-05-18_final.stac-item
2023-05-18 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-05-18_final.stac-item
2023-05-18 10:07:31	ga_s2bm_ard_3-2-1_54HWD_2023-05-18_final.stac-item
2023-05-18 10:07:34	ga_s2bm_ard_3-2-1_54HVD_2023-05-18_final.stac-item
2023-05-18 10:07:39	ga_s2bm_ard_3-2-1_54HUD_2023-05-18_final.stac-item
2023-05-18 10:07:52	ga_s2bm_ard_3-2-1_54HXB_2023-05-18_nrt.stac-item
2023-05-18 10:07:53	ga_s2bm_ard_3-2-1_54HWB_2023-05-18_nrt.stac-item
2023-05-18 10:07:54	ga_s2bm_ard_3-2-1_54HVB_2023-05-18_nrt.stac-item
2023-05-18 11:42:07	ga_s2bm_ard_3-2-1_51LUC_2023-05-18_final.stac-item
2023-05-18 11:42:09	ga_s2bm_ard_3-2-1_51LTC_2023-05-18_nrt.stac-item
2023-05-18 11:42:12	ga_s2bm_ard_3-2-1_50LRH_2023-05-18_nrt.stac-item
2023-05-18 11:42:14	ga_s2bm_ard_3-2-1_51KWB_2023-05-18_final.stac-item
2023-05-18 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-05-18_final.stac-item
2023-05-18 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-05-18_final.stac-item
2023-05-18 11:42:24	ga_s2bm_ard_3-2-1_51KTB_2023-05-18_nrt.stac-item
2023-05-18 11:42:25	ga_s2bm_ard_3-2-1_50KRG_2023-05-18_nrt.stac-item
2023-05-18 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-05-18_final.stac-item
2023-05-18 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-05-18_final.stac-item
2023-05-18 11:42:36	ga_s2bm_ard_3-2-1_51KUA_2023-05-18_final.stac-item
2023-05-18 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-18_final.stac-item
2023-05-18 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-05-18_final.stac-item
2023-05-18 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-18_final.stac-item
2023-05-18 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-05-18_final.stac-item
2023-05-18 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-05-18_final.stac-item
2023-05-18 11:43:56	ga_s2bm_ard_3-2-1_50KQA_2023-05-18_final.stac-item
2023-05-18 11:44:06	ga_s2bm_ard_3-2-1_50KRV_2023-05-18_final.stac-item
2023-05-18 11:44:21	ga_s2bm_ard_3-2-1_50KRU_2023-05-18_final.stac-item
2023-05-18 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-05-18_final.stac-item
2023-05-18 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2023-05-18_final.stac-item
2023-05-18 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2023-05-18_final.stac-item
2023-05-18 11:44:50	ga_s2bm_ard_3-2-1_51JUM_2023-05-18_final.stac-item
2023-05-18 11:44:53	ga_s2bm_ard_3-2-1_50JRS_2023-05-18_final.stac-item
2023-05-18 11:44:53	ga_s2bm_ard_3-2-1_51JTM_2023-05-18_final.stac-item
2023-05-18 11:44:55	ga_s2bm_ard_3-2-1_50JQS_2023-05-18_final.stac-item
2023-05-18 11:45:19	ga_s2bm_ard_3-2-1_51JTK_2023-05-18_final.stac-item
2023-05-18 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-05-18_final.stac-item
2023-05-18 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2023-05-18_final.stac-item
2023-05-18 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2023-05-18_final.stac-item
2023-05-18 11:45:40	ga_s2bm_ard_3-2-1_50JPP_2023-05-18_final.stac-item
2023-05-18 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2023-05-18_final.stac-item
2023-05-18 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-05-18_final.stac-item
2023-05-18 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-05-18_final.stac-item
2023-05-18 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-05-18_final.stac-item
2023-05-18 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-05-18_final.stac-item
2023-05-18 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-05-18_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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