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
2023-03-31 10:43:05	ga_s2bm_ard_3-2-1_53KQS_2023-03-31_final.stac-item
2023-03-31 10:43:08	ga_s2bm_ard_3-2-1_53KPS_2023-03-31_final.stac-item
2023-03-31 10:43:12	ga_s2bm_ard_3-2-1_53KNS_2023-03-31_final.stac-item
2023-03-31 10:43:15	ga_s2bm_ard_3-2-1_53KMS_2023-03-31_final.stac-item
2023-03-31 10:43:18	ga_s2bm_ard_3-2-1_53KQR_2023-03-31_final.stac-item
2023-03-31 10:43:26	ga_s2bm_ard_3-2-1_53KNR_2023-03-31_final.stac-item
2023-03-31 10:43:29	ga_s2bm_ard_3-2-1_53KMR_2023-03-31_final.stac-item
2023-03-31 10:43:37	ga_s2bm_ard_3-2-1_53KPQ_2023-03-31_final.stac-item
2023-03-31 10:43:49	ga_s2bm_ard_3-2-1_53KLQ_2023-03-31_final.stac-item
2023-03-31 10:43:51	ga_s2bm_ard_3-2-1_53KPP_2023-03-31_final.stac-item
2023-03-31 10:44:02	ga_s2bm_ard_3-2-1_53KLP_2023-03-31_final.stac-item
2023-03-31 10:44:06	ga_s2bm_ard_3-2-1_53JPN_2023-03-31_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 10:44:20	ga_s2bm_ard_3-2-1_53JPM_2023-03-31_final.stac-item
2023-03-31 10:44:24	ga_s2bm_ard_3-2-1_53JNM_2023-03-31_final.stac-item
2023-03-31 10:44:28	ga_s2bm_ard_3-2-1_53JMM_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 10:45:58	ga_s2bm_ard_3-2-1_53JLF_2023-03-31_final.stac-item
2023-03-31 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2023-03-31_final.stac-item
2023-03-31 10:46:37	ga_s2bm_ard_3-2-1_52HFJ_2023-03-31_nrt.stac-item
2023-03-31 10:46:38	ga_s2bm_ard_3-2-1_53HKC_2023-03-31_nrt.stac-item
2023-03-31 10:46:38	ga_s2bm_ard_3-2-1_52HGH_2023-03-31_nrt.stac-item
2023-04-01 10:09:49	ga_s2bm_ard_3-2-1_55LEJ_2023-04-01_nrt.stac-item
2023-04-01 10:09:52	ga_s2bm_ard_3-2-1_55LDJ_2023-04-01_nrt.stac-item
2023-04-01 10:09:56	ga_s2bm_ard_3-2-1_55LCJ_2023-04-01_nrt.stac-item
2023-04-01 10:09:59	ga_s2bm_ard_3-2-1_55LBJ_2023-04-01_nrt.stac-item
2023-04-01 10:10:02	ga_s2bm_ard_3-2-1_54LZP_2023-04-01_final.stac-item
2023-04-01 10:10:10	ga_s2bm_ard_3-2-1_55LCH_2023-04-01_nrt.stac-item
2023-04-01 10:10:12	ga_s2bm_ard_3-2-1_55LEG_2023-04-01_nrt.stac-item
2023-04-01 10:10:15	ga_s2bm_ard_3-2-1_54LZN_2023-04-01_final.stac-item
2023-04-01 10:10:21	ga_s2bm_ard_3-2-1_55LDG_2023-04-01_nrt.stac-item
2023-04-01 10:10:25	ga_s2bm_ard_3-2-1_55LCG_2023-04-01_nrt.stac-item
2023-04-01 10:10:28	ga_s2bm_ard_3-2-1_55LBG_2023-04-01_nrt.stac-item
2023-04-01 10:10:29	ga_s2bm_ard_3-2-1_54LZM_2023-04-01_final.stac-item
2023-04-01 10:10:36	ga_s2bm_ard_3-2-1_55LDF_2023-04-01_nrt.stac-item
2023-04-01 10:10:39	ga_s2bm_ard_3-2-1_55LCF_2023-04-01_nrt.stac-item
2023-04-01 10:10:42	ga_s2bm_ard_3-2-1_55LBF_2023-04-01_nrt.stac-item
2023-04-01 10:10:44	ga_s2bm_ard_3-2-1_54LZL_2023-04-01_final.stac-item
2023-04-01 10:10:50	ga_s2bm_ard_3-2-1_55LDE_2023-04-01_nrt.stac-item
2023-04-01 10:10:54	ga_s2bm_ard_3-2-1_55LCE_2023-04-01_final.stac-item
2023-04-01 10:11:03	ga_s2bm_ard_3-2-1_54LYK_2023-04-01_final.stac-item
2023-04-01 10:11:08	ga_s2bm_ard_3-2-1_55LCD_2023-04-01_final.stac-item
2023-04-01 10:11:11	ga_s2bm_ard_3-2-1_55LBD_2023-04-01_final.stac-item
2023-04-01 10:11:13	ga_s2bm_ard_3-2-1_54LZJ_2023-04-01_final.stac-item
2023-04-01 10:11:16	ga_s2bm_ard_3-2-1_54LYJ_2023-04-01_final.stac-item
2023-04-01 10:11:41	ga_s2bm_ard_3-2-1_55KBB_2023-04-01_final.stac-item
2023-04-01 10:11:42	ga_s2bm_ard_3-2-1_54KZG_2023-04-01_final.stac-item
2023-04-01 10:11:45	ga_s2bm_ard_3-2-1_54KYG_2023-04-01_final.stac-item
2023-04-01 10:11:55	ga_s2bm_ard_3-2-1_55KBA_2023-04-01_final.stac-item
2023-04-01 10:11:56	ga_s2bm_ard_3-2-1_54KZF_2023-04-01_final.stac-item
2023-04-01 10:12:00	ga_s2bm_ard_3-2-1_54KYF_2023-04-01_final.stac-item
2023-04-01 10:12:10	ga_s2bm_ard_3-2-1_55KBV_2023-04-01_final.stac-item
2023-04-01 10:12:11	ga_s2bm_ard_3-2-1_54KZE_2023-04-01_final.stac-item
2023-04-01 10:12:14	ga_s2bm_ard_3-2-1_54KYE_2023-04-01_final.stac-item
2023-04-01 10:12:24	ga_s2bm_ard_3-2-1_55KBU_2023-04-01_final.stac-item
2023-04-01 10:12:25	ga_s2bm_ard_3-2-1_54KZD_2023-04-01_final.stac-item
2023-04-01 10:12:29	ga_s2bm_ard_3-2-1_54KYD_2023-04-01_final.stac-item
2023-04-01 10:12:31	ga_s2bm_ard_3-2-1_55KCT_2023-04-01_final.stac-item
2023-04-01 10:12:38	ga_s2bm_ard_3-2-1_55KBT_2023-04-01_final.stac-item
2023-04-01 10:12:39	ga_s2bm_ard_3-2-1_54KZC_2023-04-01_final.stac-item
2023-04-01 10:12:43	ga_s2bm_ard_3-2-1_54KYC_2023-04-01_final.stac-item
2023-04-01 10:12:46	ga_s2bm_ard_3-2-1_54KXC_2023-04-01_final.stac-item
2023-04-01 10:12:53	ga_s2bm_ard_3-2-1_55KBS_2023-04-01_final.stac-item
2023-04-01 10:12:58	ga_s2bm_ard_3-2-1_54KYB_2023-04-01_final.stac-item
2023-04-01 10:13:07	ga_s2bm_ard_3-2-1_54KWB_2023-04-01_final.stac-item
2023-04-01 10:13:08	ga_s2bm_ard_3-2-1_55KBR_2023-04-01_final.stac-item
2023-04-01 10:13:08	ga_s2bm_ard_3-2-1_54KZA_2023-04-01_final.stac-item
2023-04-01 10:13:12	ga_s2bm_ard_3-2-1_54KYA_2023-04-01_final.stac-item
2023-04-01 10:13:19	ga_s2bm_ard_3-2-1_54KWA_2023-04-01_final.stac-item
2023-04-01 10:13:22	ga_s2bm_ard_3-2-1_55KBQ_2023-04-01_final.stac-item
2023-04-01 10:13:26	ga_s2bm_ard_3-2-1_54KYV_2023-04-01_final.stac-item
2023-04-01 10:13:30	ga_s2bm_ard_3-2-1_54KXV_2023-04-01_final.stac-item
2023-04-01 10:13:36	ga_s2bm_ard_3-2-1_55KBP_2023-04-01_final.stac-item
2023-04-01 10:13:37	ga_s2bm_ard_3-2-1_54KZU_2023-04-01_final.stac-item
2023-04-01 10:13:41	ga_s2bm_ard_3-2-1_54KYU_2023-04-01_final.stac-item
2023-04-01 10:13:44	ga_s2bm_ard_3-2-1_54KXU_2023-04-01_final.stac-item
2023-04-01 10:13:47	ga_s2bm_ard_3-2-1_55JBN_2023-04-01_final.stac-item
2023-04-01 10:13:49	ga_s2bm_ard_3-2-1_54JZT_2023-04-01_final.stac-item
2023-04-01 10:13:55	ga_s2bm_ard_3-2-1_54JYT_2023-04-01_final.stac-item
2023-04-01 10:13:59	ga_s2bm_ard_3-2-1_54JXT_2023-04-01_final.stac-item
2023-04-01 10:14:09	ga_s2bm_ard_3-2-1_54JYS_2023-04-01_final.stac-item
2023-04-01 10:14:13	ga_s2bm_ard_3-2-1_54JXS_2023-04-01_final.stac-item
2023-04-01 10:14:17	ga_s2bm_ard_3-2-1_54JWS_2023-04-01_final.stac-item
2023-04-01 10:14:21	ga_s2bm_ard_3-2-1_54JVS_2023-04-01_final.stac-item
2023-04-01 10:15:40	ga_s2bm_ard_3-2-1_54JXL_2023-04-01_final.stac-item
2023-04-01 10:15:51	ga_s2bm_ard_3-2-1_54JUL_2023-04-01_final.stac-item
2023-04-01 10:16:20	ga_s2bm_ard_3-2-1_54HUJ_2023-04-01_final.stac-item
2023-04-01 10:16:37	ga_s2bm_ard_3-2-1_54HTH_2023-04-01_final.stac-item
2023-04-01 10:16:52	ga_s2bm_ard_3-2-1_54HTG_2023-04-01_final.stac-item
2023-04-01 10:16:55	ga_s2bm_ard_3-2-1_53HQB_2023-04-01_final.stac-item
2023-04-01 10:16:56	ga_s2bm_ard_3-2-1_54HWF_2023-04-01_final.stac-item
2023-04-01 10:17:00	ga_s2bm_ard_3-2-1_54HVF_2023-04-01_final.stac-item
2023-04-01 10:17:03	ga_s2bm_ard_3-2-1_54HUF_2023-04-01_final.stac-item
2023-04-01 10:17:07	ga_s2bm_ard_3-2-1_54HTF_2023-04-01_final.stac-item
2023-04-01 10:17:08	ga_s2bm_ard_3-2-1_53HQA_2023-04-01_final.stac-item
2023-04-01 10:17:29	ga_s2bm_ard_3-2-1_54HVD_2023-04-01_final.stac-item
2023-04-01 10:17:33	ga_s2bm_ard_3-2-1_54HUD_2023-04-01_final.stac-item
2023-04-01 10:17:36	ga_s2bm_ard_3-2-1_54HTD_2023-04-01_nrt.stac-item
2023-04-01 10:17:37	ga_s2bm_ard_3-2-1_53HQU_2023-04-01_nrt.stac-item
2023-04-01 10:17:43	ga_s2bm_ard_3-2-1_53HPU_2023-04-01_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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