Search ga_s2bm_ard_3 across July 2023

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
2023-07-01 09:46:11	ga_s2bm_ard_3-2-1_55HDD_2023-07-01_final.stac-item
2023-07-01 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-07-01_final.stac-item
2023-07-01 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-07-01_nrt.stac-item
2023-07-01 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-07-01_final.stac-item
2023-07-03 10:21:26	ga_s2bm_ard_3-2-1_54LVJ_2023-07-03_final.stac-item
2023-07-03 10:27:16	ga_s2bm_ard_3-2-1_54HTE_2023-07-03_final.stac-item
2023-07-03 10:27:17	ga_s2bm_ard_3-2-1_53HQV_2023-07-03_final.stac-item
2023-07-03 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-07-03_final.stac-item
2023-07-03 10:27:21	ga_s2bm_ard_3-2-1_53HNV_2023-07-03_nrt.stac-item
2023-07-04 09:56:07	ga_s2bm_ard_3-2-1_55HDD_2023-07-04_final.stac-item
2023-07-04 09:56:10	ga_s2bm_ard_3-2-1_55HCD_2023-07-04_final.stac-item
2023-07-04 09:57:13	ga_s2bm_ard_3-2-1_54HYE_2023-07-04_final.stac-item
2023-07-04 11:31:51	ga_s2bm_ard_3-2-1_51LWD_2023-07-04_nrt.stac-item
2023-07-05 09:26:03	ga_s2bm_ard_3-2-1_56HLJ_2023-07-04_final.stac-item
2023-07-05 09:27:04	ga_s2bm_ard_3-2-1_56HKE_2023-07-04_nrt.stac-item
2023-07-05 09:27:06	ga_s2bm_ard_3-2-1_55HGV_2023-07-04_final.stac-item
2023-07-05 09:28:23	ga_s2bm_ard_3-2-1_56GMU_2023-07-04_nrt.stac-item
2023-07-05 09:28:32	ga_s2bm_ard_3-2-1_55GGP_2023-07-04_nrt.stac-item
2023-07-05 09:28:32	ga_s2bm_ard_3-2-1_56GKU_2023-07-04_nrt.stac-item
2023-07-05 09:28:36	ga_s2bm_ard_3-2-1_55GFP_2023-07-04_final.stac-item
2023-07-06 10:31:20	ga_s2bm_ard_3-2-1_54LVJ_2023-07-06_final.stac-item
2023-07-06 10:36:34	ga_s2bm_ard_3-2-1_53HLD_2023-07-06_final.stac-item
2023-07-07 10:01:08	ga_s2bm_ard_3-2-1_55LED_2023-07-07_nrt.stac-item
2023-07-07 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-07-07_final.stac-item
2023-07-07 11:41:49	ga_s2bm_ard_3-2-1_51LVD_2023-07-07_nrt.stac-item
2023-07-08 09:35:58	ga_s2bm_ard_3-2-1_56HLJ_2023-07-08_final.stac-item
2023-07-08 09:37:00	ga_s2bm_ard_3-2-1_56HKE_2023-07-08_nrt.stac-item
2023-07-08 09:37:02	ga_s2bm_ard_3-2-1_55HGV_2023-07-08_final.stac-item
2023-07-08 09:38:25	ga_s2bm_ard_3-2-1_55GGP_2023-07-08_nrt.stac-item
2023-07-08 11:11:57	ga_s2bm_ard_3-2-1_52LDH_2023-07-08_final.stac-item
2023-07-09 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2023-07-09_final.stac-item
2023-07-10 10:16:22	ga_s2bm_ard_3-2-1_54HUJ_2023-07-10_final.stac-item
2023-07-10 10:17:23	ga_s2bm_ard_3-2-1_54HTE_2023-07-10_final.stac-item
2023-07-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-10_final.stac-item
2023-07-11 09:46:11	ga_s2bm_ard_3-2-1_55HDD_2023-07-11_final.stac-item
2023-07-11 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-07-11_final.stac-item
2023-07-11 09:48:45	ga_s2bm_ard_3-2-1_54GXU_2023-07-11_nrt.stac-item
2023-07-11 09:48:50	ga_s2bm_ard_3-2-1_54GXU_2023-07-11_nrt.stac-item
2023-07-11 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-07-11_final.stac-item
2023-07-12 10:51:42	ga_s2bm_ard_3-2-1_53LPC_2023-07-12_final.stac-item
2023-07-13 10:27:16	ga_s2bm_ard_3-2-1_54HTE_2023-07-13_final.stac-item
2023-07-13 10:27:17	ga_s2bm_ard_3-2-1_53HQV_2023-07-13_final.stac-item
2023-07-13 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-07-13_nrt.stac-item
2023-07-14 09:56:06	ga_s2bm_ard_3-2-1_55HDD_2023-07-14_final.stac-item
2023-07-14 09:56:10	ga_s2bm_ard_3-2-1_55HCD_2023-07-14_final.stac-item
2023-07-14 09:57:12	ga_s2bm_ard_3-2-1_54HYE_2023-07-14_final.stac-item
2023-07-14 09:58:28	ga_s2bm_ard_3-2-1_55GCP_2023-07-14_final.stac-item
2023-07-14 11:31:50	ga_s2bm_ard_3-2-1_51LWD_2023-07-14_nrt.stac-item
2023-07-15 09:26:02	ga_s2bm_ard_3-2-1_56HLJ_2023-07-14_final.stac-item
2023-07-15 09:27:04	ga_s2bm_ard_3-2-1_56HKE_2023-07-14_nrt.stac-item
2023-07-15 09:27:06	ga_s2bm_ard_3-2-1_55HGV_2023-07-14_final.stac-item
2023-07-15 09:28:23	ga_s2bm_ard_3-2-1_56GMU_2023-07-14_nrt.stac-item
2023-07-15 09:28:35	ga_s2bm_ard_3-2-1_55GFP_2023-07-14_final.stac-item
2023-07-17 10:01:08	ga_s2bm_ard_3-2-1_55LED_2023-07-17_nrt.stac-item
2023-07-17 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-07-17_final.stac-item
2023-07-17 11:41:49	ga_s2bm_ard_3-2-1_51LVD_2023-07-17_nrt.stac-item
2023-07-18 09:35:59	ga_s2bm_ard_3-2-1_56HLJ_2023-07-18_final.stac-item
2023-07-18 09:37:00	ga_s2bm_ard_3-2-1_56HKE_2023-07-18_nrt.stac-item
2023-07-18 09:37:02	ga_s2bm_ard_3-2-1_55HGV_2023-07-18_final.stac-item
2023-07-18 11:11:57	ga_s2bm_ard_3-2-1_52LDH_2023-07-18_final.stac-item
2023-07-19 10:46:30	ga_s2bm_ard_3-2-1_53HLD_2023-07-19_final.stac-item
2023-07-19 10:46:39	ga_s2bm_ard_3-2-1_53HKC_2023-07-19_nrt.stac-item
2023-07-20 10:16:22	ga_s2bm_ard_3-2-1_54HUJ_2023-07-20_final.stac-item
2023-07-20 10:17:24	ga_s2bm_ard_3-2-1_54HTE_2023-07-20_final.stac-item
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final.stac-item
2023-07-21 09:46:11	ga_s2bm_ard_3-2-1_55HDD_2023-07-21_final.stac-item
2023-07-21 09:48:28	ga_s2bm_ard_3-2-1_55GEP_2023-07-21_final.stac-item
2023-07-21 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-07-21_nrt.stac-item
2023-07-21 09:48:51	ga_s2bm_ard_3-2-1_54GYU_2023-07-21_nrt.stac-item
2023-07-21 09:48:52	ga_s2bm_ard_3-2-1_55GBP_2023-07-21_nrt.stac-item
2023-07-21 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2023-07-21_final.stac-item
2023-07-22 10:51:43	ga_s2bm_ard_3-2-1_53LPC_2023-07-22_final.stac-item
2023-07-23 10:27:17	ga_s2bm_ard_3-2-1_54HTE_2023-07-23_final.stac-item
2023-07-23 10:27:18	ga_s2bm_ard_3-2-1_53HQV_2023-07-23_final.stac-item
2023-07-23 10:27:22	ga_s2bm_ard_3-2-1_53HNV_2023-07-23_nrt.stac-item
2023-07-24 09:56:07	ga_s2bm_ard_3-2-1_55HDD_2023-07-24_final.stac-item
2023-07-24 09:56:11	ga_s2bm_ard_3-2-1_55HCD_2023-07-24_final.stac-item
2023-07-24 09:57:14	ga_s2bm_ard_3-2-1_54HYE_2023-07-24_final.stac-item
2023-07-24 11:31:51	ga_s2bm_ard_3-2-1_51LWD_2023-07-24_nrt.stac-item
2023-07-24 11:36:39	ga_s2bm_ard_3-2-1_51HVD_2023-07-24_final.stac-item
2023-07-25 09:26:03	ga_s2bm_ard_3-2-1_56HLJ_2023-07-24_final.stac-item
2023-07-25 09:27:05	ga_s2bm_ard_3-2-1_56HKE_2023-07-24_nrt.stac-item
2023-07-25 09:27:07	ga_s2bm_ard_3-2-1_55HGV_2023-07-24_final.stac-item
2023-07-25 09:28:24	ga_s2bm_ard_3-2-1_56GMU_2023-07-24_nrt.stac-item
2023-07-25 09:28:36	ga_s2bm_ard_3-2-1_55GFP_2023-07-24_final.stac-item
2023-07-27 10:01:09	ga_s2bm_ard_3-2-1_55LED_2023-07-27_nrt.stac-item
2023-07-27 10:07:09	ga_s2bm_ard_3-2-1_54HYE_2023-07-27_final.stac-item
2023-07-27 11:41:50	ga_s2bm_ard_3-2-1_51LVD_2023-07-27_nrt.stac-item
2023-07-28 09:35:54	ga_s2bm_ard_3-2-1_56HMJ_2023-07-28_final.stac-item
2023-07-28 09:35:59	ga_s2bm_ard_3-2-1_56HLJ_2023-07-28_final.stac-item
2023-07-28 09:37:01	ga_s2bm_ard_3-2-1_56HKE_2023-07-28_nrt.stac-item
2023-07-28 09:37:02	ga_s2bm_ard_3-2-1_55HGV_2023-07-28_final.stac-item
2023-07-28 11:11:57	ga_s2bm_ard_3-2-1_52LDH_2023-07-28_final.stac-item
2023-07-29 10:46:30	ga_s2bm_ard_3-2-1_53HLD_2023-07-29_final.stac-item
2023-07-30 10:16:22	ga_s2bm_ard_3-2-1_54HUJ_2023-07-30_final.stac-item
2023-07-30 10:17:23	ga_s2bm_ard_3-2-1_54HTE_2023-07-30_final.stac-item
2023-07-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-30_final.stac-item
2023-07-31 09:46:11	ga_s2bm_ard_3-2-1_55HDD_2023-07-31_final.stac-item
2023-07-31 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-07-31_final.stac-item
2023-07-31 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-07-31_nrt.stac-item

Return to ga_s2bm_ard_3 across July 2023 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

2023

July

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