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
2023-02-24 09:49:37	ga_s2bm_ard_3-2-1_56LMP_2023-02-24_nrt.stac-item
2023-02-24 09:49:49	ga_s2bm_ard_3-2-1_56LMN_2023-02-24_nrt.stac-item
2023-02-24 09:49:59	ga_s2bm_ard_3-2-1_56LMM_2023-02-24_nrt.stac-item
2023-02-24 09:50:05	ga_s2bm_ard_3-2-1_56LKM_2023-02-24_nrt.stac-item
2023-02-24 09:50:06	ga_s2bm_ard_3-2-1_55LHG_2023-02-24_nrt.stac-item
2023-02-24 09:50:59	ga_s2bm_ard_3-2-1_56LLJ_2023-02-24_nrt.stac-item
2023-02-24 09:51:01	ga_s2bm_ard_3-2-1_56LKJ_2023-02-24_nrt.stac-item
2023-02-26 10:31:05	ga_s2bm_ard_3-2-1_54LTK_2023-02-26_nrt.stac-item
2023-02-26 12:10:29	ga_s2bm_ard_3-2-1_50LNP_2023-02-26_nrt.stac-item
2023-02-27 11:40:43	ga_s2bm_ard_3-2-1_51LWH_2023-02-27_nrt.stac-item
2023-02-27 11:40:47	ga_s2bm_ard_3-2-1_51LVH_2023-02-27_nrt.stac-item
2023-02-27 11:40:49	ga_s2bm_ard_3-2-1_51LUH_2023-02-27_nrt.stac-item
2023-02-27 11:41:45	ga_s2bm_ard_3-2-1_51LVD_2023-02-27_nrt.stac-item
2023-02-27 11:42:21	ga_s2bm_ard_3-2-1_50KRG_2023-02-27_nrt.stac-item
2023-02-28 11:11:09	ga_s2bm_ard_3-2-1_52LDL_2023-02-28_nrt.stac-item
2023-03-01 10:46:28	ga_s2bm_ard_3-2-1_53HKD_2023-03-01_nrt.stac-item
2023-03-05 10:26:42	ga_s2bm_ard_3-2-1_54HUG_2023-03-05_final.stac-item
2023-03-07 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2023-03-07_final.stac-item
2023-03-07 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-03-07_nrt.stac-item
2023-03-08 10:31:21	ga_s2bm_ard_3-2-1_54LVJ_2023-03-08_final.stac-item
2023-03-08 10:32:07	ga_s2bm_ard_3-2-1_54KTF_2023-03-08_final.stac-item
2023-03-08 10:32:14	ga_s2bm_ard_3-2-1_53KQA_2023-03-08_final.stac-item
2023-03-08 10:32:29	ga_s2bm_ard_3-2-1_54KVD_2023-03-08_final.stac-item
2023-03-09 10:03:12	ga_s2bm_ard_3-2-1_55KEQ_2023-03-09_final.stac-item
2023-03-09 10:03:13	ga_s2bm_ard_3-2-1_54KZA_2023-03-09_final.stac-item
2023-03-09 10:04:11	ga_s2bm_ard_3-2-1_54JZS_2023-03-09_final.stac-item
2023-03-10 09:33:46	ga_s2bm_ard_3-2-1_56JLT_2023-03-10_final.stac-item
2023-03-10 09:33:54	ga_s2bm_ard_3-2-1_56JKT_2023-03-10_final.stac-item
2023-03-10 09:33:58	ga_s2bm_ard_3-2-1_56JMS_2023-03-10_final.stac-item
2023-03-10 09:34:12	ga_s2bm_ard_3-2-1_56JMR_2023-03-10_final.stac-item
2023-03-11 10:46:39	ga_s2bm_ard_3-2-1_52HGH_2023-03-11_nrt.stac-item
2023-03-16 09:57:51	ga_s2bm_ard_3-2-1_55HCS_2023-03-16_final.stac-item
2023-03-16 09:58:02	ga_s2bm_ard_3-2-1_54HWB_2023-03-16_nrt.stac-item
2023-03-16 09:58:05	ga_s2bm_ard_3-2-1_55GCR_2023-03-16_final.stac-item
2023-03-16 09:58:13	ga_s2bm_ard_3-2-1_54GXA_2023-03-16_nrt.stac-item
2023-03-16 09:58:17	ga_s2bm_ard_3-2-1_55GCQ_2023-03-16_final.stac-item
2023-03-16 09:58:27	ga_s2bm_ard_3-2-1_54GXV_2023-03-16_nrt.stac-item
2023-03-16 09:58:33	ga_s2bm_ard_3-2-1_54GYU_2023-03-16_nrt.stac-item
2023-03-16 09:58:33	ga_s2bm_ard_3-2-1_55GBP_2023-03-16_nrt.stac-item
2023-03-19 10:07:52	ga_s2bm_ard_3-2-1_54HXB_2023-03-19_nrt.stac-item
2023-03-19 10:07:53	ga_s2bm_ard_3-2-1_54HWB_2023-03-19_nrt.stac-item
2023-03-19 10:07:55	ga_s2bm_ard_3-2-1_54HUB_2023-03-19_nrt.stac-item
2023-03-26 09:57:50	ga_s2bm_ard_3-2-1_55HCS_2023-03-26_final.stac-item
2023-03-26 09:58:04	ga_s2bm_ard_3-2-1_55GCR_2023-03-26_final.stac-item
2023-03-26 09:58:07	ga_s2bm_ard_3-2-1_55GBR_2023-03-26_final.stac-item
2023-03-26 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-03-26_final.stac-item
2023-03-27 09:26:47	ga_s2bm_ard_3-2-1_56HKF_2023-03-26_final.stac-item
2023-03-27 09:27:01	ga_s2bm_ard_3-2-1_56HKE_2023-03-26_nrt.stac-item
2023-03-27 09:28:34	ga_s2bm_ard_3-2-1_56GMT_2023-03-26_nrt.stac-item
2023-03-27 09:28:35	ga_s2bm_ard_3-2-1_56GLU_2023-03-26_nrt.stac-item
2023-03-27 09:28:41	ga_s2bm_ard_3-2-1_55GEP_2023-03-26_final.stac-item
2023-03-28 10:35:00	ga_s2bm_ard_3-2-1_54JTP_2023-03-28_final.stac-item
2023-03-28 10:35:12	ga_s2bm_ard_3-2-1_53JNJ_2023-03-28_final.stac-item
2023-03-29 11:40:57	ga_s2bm_ard_3-2-1_51LXG_2023-03-29_nrt.stac-item
2023-03-29 11:44:54	ga_s2bm_ard_3-2-1_51JUL_2023-03-29_final.stac-item
2023-03-30 09:33:42	ga_s2bm_ard_3-2-1_56JMT_2023-03-30_final.stac-item
2023-03-30 09:38:30	ga_s2bm_ard_3-2-1_55GFP_2023-03-30_final.stac-item
2023-03-30 09:38:44	ga_s2bm_ard_3-2-1_55GFN_2023-03-30_final.stac-item
2023-03-30 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2023-03-30_final.stac-item
2023-03-30 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-03-30_final.stac-item
2023-03-31 10:44:16	ga_s2bm_ard_3-2-1_53JLN_2023-03-31_final.stac-item
2023-03-31 10:44:31	ga_s2bm_ard_3-2-1_53JLM_2023-03-31_final.stac-item
2023-03-31 10:44:31	ga_s2bm_ard_3-2-1_53JPL_2023-03-31_final.stac-item
2023-03-31 10:45:03	ga_s2bm_ard_3-2-1_53JKK_2023-03-31_final.stac-item
2023-03-31 10:45:08	ga_s2bm_ard_3-2-1_53JNJ_2023-03-31_final.stac-item
2023-03-31 10:45:17	ga_s2bm_ard_3-2-1_53JKJ_2023-03-31_final.stac-item
2023-03-31 10:45:22	ga_s2bm_ard_3-2-1_53JNH_2023-03-31_final.stac-item
2023-04-01 10:14:09	ga_s2bm_ard_3-2-1_54JVT_2023-04-01_final.stac-item
2023-04-02 09:43:01	ga_s2bm_ard_3-2-1_56KKA_2023-04-02_final.stac-item
2023-04-02 09:43:05	ga_s2bm_ard_3-2-1_55KGR_2023-04-02_final.stac-item
2023-04-02 09:43:19	ga_s2bm_ard_3-2-1_55KGQ_2023-04-02_final.stac-item
2023-04-02 09:43:41	ga_s2bm_ard_3-2-1_56JLT_2023-04-02_final.stac-item
2023-04-06 11:00:10	ga_s2bm_ard_3-2-1_53LMJ_2023-04-06_nrt.stac-item
2023-04-06 11:00:19	ga_s2bm_ard_3-2-1_52LHP_2023-04-06_nrt.stac-item
2023-04-07 10:30:36	ga_s2bm_ard_3-2-1_54LUM_2023-04-07_nrt.stac-item
2023-04-08 10:00:00	ga_s2bm_ard_3-2-1_55LGH_2023-04-08_nrt.stac-item
2023-04-08 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-04-08_nrt.stac-item
2023-04-08 11:40:56	ga_s2bm_ard_3-2-1_51LXG_2023-04-08_nrt.stac-item
2023-04-08 11:41:40	ga_s2bm_ard_3-2-1_51LTE_2023-04-08_nrt.stac-item
2023-04-08 11:41:43	ga_s2bm_ard_3-2-1_51LWD_2023-04-08_nrt.stac-item
2023-04-08 11:42:10	ga_s2bm_ard_3-2-1_50LRH_2023-04-08_nrt.stac-item
2023-04-11 10:17:42	ga_s2bm_ard_3-2-1_53HPU_2023-04-11_nrt.stac-item
2023-04-11 10:17:45	ga_s2bm_ard_3-2-1_53HPT_2023-04-11_nrt.stac-item
2023-04-11 11:51:00	ga_s2bm_ard_3-2-1_51LUG_2023-04-11_nrt.stac-item
2023-04-11 11:51:28	ga_s2bm_ard_3-2-1_50LPL_2023-04-11_nrt.stac-item
2023-04-11 11:51:37	ga_s2bm_ard_3-2-1_50LQK_2023-04-11_nrt.stac-item
2023-04-11 11:51:41	ga_s2bm_ard_3-2-1_50LPK_2023-04-11_nrt.stac-item
2023-04-11 11:51:49	ga_s2bm_ard_3-2-1_50LRJ_2023-04-11_nrt.stac-item
2023-04-11 11:51:52	ga_s2bm_ard_3-2-1_50LQJ_2023-04-11_nrt.stac-item
2023-04-11 11:51:55	ga_s2bm_ard_3-2-1_50LPJ_2023-04-11_nrt.stac-item
2023-04-11 11:52:02	ga_s2bm_ard_3-2-1_51LTC_2023-04-11_nrt.stac-item
2023-04-11 11:52:30	ga_s2bm_ard_3-2-1_50KNG_2023-04-11_nrt.stac-item
2023-04-11 11:52:32	ga_s2bm_ard_3-2-1_50KRF_2023-04-11_nrt.stac-item
2023-04-11 11:52:46	ga_s2bm_ard_3-2-1_50KRE_2023-04-11_nrt.stac-item
2023-04-12 09:39:50	ga_s2bm_ard_3-2-1_56LLP_2023-04-12_nrt.stac-item
2023-04-12 09:48:47	ga_s2bm_ard_3-2-1_54GXT_2023-04-12_nrt.stac-item
2023-04-13 10:50:17	ga_s2bm_ard_3-2-1_53LQH_2023-04-13_nrt.stac-item
2023-04-14 10:19:51	ga_s2bm_ard_3-2-1_55LBJ_2023-04-14_nrt.stac-item
2023-11-25 09:33:36	ga_s2bm_ard_3-2-1_56JPS_2023-11-25_nrt.stac-item
2023-11-25 09:35:54	ga_s2bm_ard_3-2-1_56HMH_2023-11-25_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

Other products

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