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
2023-02-22 10:56:25	ga_s2bm_ard_3-2-1_52HEJ_2023-02-22_nrt.stac-item
2023-02-24 09:57:08	ga_s2bm_ard_3-2-1_55HDU_2023-02-24_final.stac-item
2023-02-24 11:36:34	ga_s2bm_ard_3-2-1_51HVD_2023-02-24_final.stac-item
2023-02-27 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2023-02-27_final.stac-item
2023-03-04 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2023-03-04_final.stac-item
2023-03-04 10:53:34	ga_s2bm_ard_3-2-1_52KGA_2023-03-04_final.stac-item
2023-03-04 10:53:38	ga_s2bm_ard_3-2-1_53KMQ_2023-03-04_final.stac-item
2023-03-04 10:53:59	ga_s2bm_ard_3-2-1_53KKP_2023-03-04_final.stac-item
2023-03-04 10:54:01	ga_s2bm_ard_3-2-1_53JMN_2023-03-04_final.stac-item
2023-03-04 10:54:03	ga_s2bm_ard_3-2-1_52KGU_2023-03-04_final.stac-item
2023-03-04 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2023-03-04_final.stac-item
2023-03-04 10:54:43	ga_s2bm_ard_3-2-1_53JKL_2023-03-04_final.stac-item
2023-03-04 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2023-03-04_final.stac-item
2023-03-04 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2023-03-04_final.stac-item
2023-03-04 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-03-04_final.stac-item
2023-03-07 09:26:55	ga_s2bm_ard_3-2-1_56HME_2023-03-06_nrt.stac-item
2023-03-07 09:26:59	ga_s2bm_ard_3-2-1_56HLE_2023-03-06_nrt.stac-item
2023-03-07 09:27:02	ga_s2bm_ard_3-2-1_56HKE_2023-03-06_nrt.stac-item
2023-03-07 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2023-03-07_final.stac-item
2023-03-07 11:05:01	ga_s2bm_ard_3-2-1_52JFQ_2023-03-07_final.stac-item
2023-03-09 11:44:47	ga_s2bm_ard_3-2-1_50JPS_2023-03-09_final.stac-item
2023-03-10 11:11:39	ga_s2bm_ard_3-2-1_52LGJ_2023-03-10_final.stac-item
2023-03-10 11:12:18	ga_s2bm_ard_3-2-1_52KFF_2023-03-10_final.stac-item
2023-03-10 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2023-03-10_final.stac-item
2023-03-10 11:14:11	ga_s2bm_ard_3-2-1_52JET_2023-03-10_final.stac-item
2023-03-10 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2023-03-10_final.stac-item
2023-03-10 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2023-03-10_final.stac-item
2023-03-10 11:14:50	ga_s2bm_ard_3-2-1_52JDR_2023-03-10_final.stac-item
2023-03-11 10:40:31	ga_s2bm_ard_3-2-1_54LUM_2023-03-11_nrt.stac-item
2023-03-11 10:40:43	ga_s2bm_ard_3-2-1_54LUL_2023-03-11_nrt.stac-item
2023-03-11 10:40:49	ga_s2bm_ard_3-2-1_54LUL_2023-03-11_nrt.stac-item
2023-03-12 10:10:12	ga_s2bm_ard_3-2-1_55LEG_2023-03-12_nrt.stac-item
2023-03-12 11:52:58	ga_s2bm_ard_3-2-1_51KTU_2023-03-12_final.stac-item
2023-03-12 11:54:17	ga_s2bm_ard_3-2-1_50KQU_2023-03-12_final.stac-item
2023-03-12 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2023-03-12_final.stac-item
2023-03-13 11:22:05	ga_s2bm_ard_3-2-1_52KDG_2023-03-13_final.stac-item
2023-03-13 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-03-13_final.stac-item
2023-03-13 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2023-03-13_final.stac-item
2023-03-13 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-03-13_final.stac-item
2023-03-13 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-03-13_final.stac-item
2023-03-13 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2023-03-13_final.stac-item
2023-03-13 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2023-03-13_final.stac-item
2023-03-14 10:52:35	ga_s2bm_ard_3-2-1_52KHE_2023-03-14_final.stac-item
2023-03-14 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2023-03-14_final.stac-item
2023-03-14 10:55:06	ga_s2bm_ard_3-2-1_52JFQ_2023-03-14_final.stac-item
2023-03-15 10:21:25	ga_s2bm_ard_3-2-1_54LVJ_2023-03-15_final.stac-item
2023-03-15 10:21:37	ga_s2bm_ard_3-2-1_54LVH_2023-03-15_final.stac-item
2023-03-15 12:03:56	ga_s2bm_ard_3-2-1_50KMA_2023-03-15_final.stac-item
2023-03-16 09:54:17	ga_s2bm_ard_3-2-1_55JFL_2023-03-16_final.stac-item
2023-03-16 09:54:31	ga_s2bm_ard_3-2-1_55JFK_2023-03-16_final.stac-item
2023-03-16 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2023-03-16_final.stac-item
2023-03-16 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-03-16_final.stac-item
2023-03-17 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2023-03-17_final.stac-item
2023-03-17 11:03:13	ga_s2bm_ard_3-2-1_52KHB_2023-03-17_final.stac-item
2023-03-17 11:03:17	ga_s2bm_ard_3-2-1_52KGB_2023-03-17_final.stac-item
2023-03-17 11:03:23	ga_s2bm_ard_3-2-1_53KKR_2023-03-17_final.stac-item
2023-03-17 11:03:26	ga_s2bm_ard_3-2-1_52KHA_2023-03-17_final.stac-item
2023-03-17 11:03:37	ga_s2bm_ard_3-2-1_52KHV_2023-03-17_final.stac-item
2023-03-17 11:04:28	ga_s2bm_ard_3-2-1_52JGS_2023-03-17_final.stac-item
2023-03-17 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2023-03-17_final.stac-item
2023-03-17 11:05:42	ga_s2bm_ard_3-2-1_52JFM_2023-03-17_final.stac-item
2023-03-18 12:10:33	ga_s2bm_ard_3-2-1_50LNP_2023-03-18_nrt.stac-item
2023-03-18 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-03-18_nrt.stac-item
2023-03-19 11:41:15	ga_s2bm_ard_3-2-1_51LWF_2023-03-19_nrt.stac-item
2023-03-19 11:41:21	ga_s2bm_ard_3-2-1_51LXE_2023-03-19_nrt.stac-item
2023-03-26 09:53:50	ga_s2bm_ard_3-2-1_55JGM_2023-03-26_final.stac-item
2023-03-26 09:54:30	ga_s2bm_ard_3-2-1_55JFK_2023-03-26_final.stac-item
2023-03-26 09:54:53	ga_s2bm_ard_3-2-1_55JFH_2023-03-26_final.stac-item
2023-03-26 09:55:04	ga_s2bm_ard_3-2-1_55JCJ_2023-03-26_final.stac-item
2023-03-26 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2023-03-26_final.stac-item
2023-03-26 11:30:53	ga_s2bm_ard_3-2-1_52LBM_2023-03-26_nrt.stac-item
2023-03-26 11:30:54	ga_s2bm_ard_3-2-1_51LZG_2023-03-26_nrt.stac-item
2023-03-26 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-03-26_nrt.stac-item
2023-03-26 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-26_nrt.stac-item
2023-03-26 11:37:36	ga_s2bm_ard_3-2-1_51HUV_2023-03-26_nrt.stac-item
2023-03-28 10:31:02	ga_s2bm_ard_3-2-1_54LVK_2023-03-28_final.stac-item
2023-03-28 10:31:14	ga_s2bm_ard_3-2-1_54LVJ_2023-03-28_final.stac-item
2023-03-28 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2023-03-28_final.stac-item
2023-03-28 10:31:35	ga_s2bm_ard_3-2-1_54KWG_2023-03-28_final.stac-item
2023-03-29 09:59:51	ga_s2bm_ard_3-2-1_55LHH_2023-03-29_nrt.stac-item
2023-03-30 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2023-03-30_final.stac-item
2023-03-31 10:40:42	ga_s2bm_ard_3-2-1_54LUL_2023-03-31_nrt.stac-item
2023-03-31 10:41:04	ga_s2bm_ard_3-2-1_54LTK_2023-03-31_nrt.stac-item
2023-03-31 10:41:05	ga_s2bm_ard_3-2-1_53LRE_2023-03-31_nrt.stac-item
2023-03-31 10:41:19	ga_s2bm_ard_3-2-1_53LRD_2023-03-31_nrt.stac-item
2023-03-31 10:41:23	ga_s2bm_ard_3-2-1_53LQD_2023-03-31_final.stac-item
2023-03-31 10:41:34	ga_s2bm_ard_3-2-1_53LRC_2023-03-31_nrt.stac-item
2023-03-31 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2023-03-31_final.stac-item
2023-03-31 10:42:59	ga_s2bm_ard_3-2-1_53KPS_2023-03-31_final.stac-item
2023-04-02 09:47:22	ga_s2bm_ard_3-2-1_55HET_2023-04-02_final.stac-item
2023-04-09 09:31:30	ga_s2bm_ard_3-2-1_56KNG_2023-04-09_nrt.stac-item
2023-04-09 09:33:19	ga_s2bm_ard_3-2-1_56KPU_2023-04-09_nrt.stac-item
2023-04-09 09:33:23	ga_s2bm_ard_3-2-1_56KNU_2023-04-09_nrt.stac-item
2023-04-09 09:33:32	ga_s2bm_ard_3-2-1_56JPT_2023-04-09_nrt.stac-item
2023-04-09 09:33:42	ga_s2bm_ard_3-2-1_56JPS_2023-04-09_nrt.stac-item
2023-04-12 09:41:22	ga_s2bm_ard_3-2-1_56KNG_2023-04-12_nrt.stac-item
2023-04-12 09:41:46	ga_s2bm_ard_3-2-1_55KHA_2023-04-12_nrt.stac-item
2023-04-12 09:42:15	ga_s2bm_ard_3-2-1_56KKD_2023-04-12_nrt.stac-item
2023-05-23 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-05-23_nrt.stac-item
2023-08-20 09:43:06	ga_s2bm_ard_3-2-1_56KMV_2023-08-20_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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