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
2022-01-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-01-02_final
2022-01-02 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2022-01-02_final
2022-01-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-01-02_final
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final
2022-01-03 10:01:07	ga_s2bm_ard_3-2-1_55LCD_2022-01-03_final
2022-01-03 10:01:25	ga_s2bm_ard_3-2-1_55KFB_2022-01-03_final
2022-01-03 10:01:34	ga_s2bm_ard_3-2-1_55KCB_2022-01-03_final
2022-01-03 10:01:39	ga_s2bm_ard_3-2-1_55KFA_2022-01-03_final
2022-01-03 10:01:46	ga_s2bm_ard_3-2-1_55KDA_2022-01-03_final
2022-01-03 10:02:26	ga_s2bm_ard_3-2-1_55KET_2022-01-03_final
2022-01-03 10:02:30	ga_s2bm_ard_3-2-1_55KDT_2022-01-03_final
2022-01-03 10:02:33	ga_s2bm_ard_3-2-1_55KCT_2022-01-03_final
2022-01-03 10:02:36	ga_s2bm_ard_3-2-1_55KBT_2022-01-03_final
2022-01-03 10:02:38	ga_s2bm_ard_3-2-1_54KZC_2022-01-03_final
2022-01-03 10:02:50	ga_s2bm_ard_3-2-1_55KBS_2022-01-03_final
2022-01-03 10:02:51	ga_s2bm_ard_3-2-1_54KZB_2022-01-03_final
2022-01-03 10:03:02	ga_s2bm_ard_3-2-1_55KCR_2022-01-03_final
2022-01-03 10:03:05	ga_s2bm_ard_3-2-1_55KEQ_2022-01-03_final
2022-01-03 10:03:05	ga_s2bm_ard_3-2-1_55KBR_2022-01-03_final
2022-01-03 10:03:05	ga_s2bm_ard_3-2-1_54KZA_2022-01-03_final
2022-01-03 10:03:13	ga_s2bm_ard_3-2-1_55KDQ_2022-01-03_final
2022-01-03 10:03:17	ga_s2bm_ard_3-2-1_55KCQ_2022-01-03_final
2022-01-03 10:03:20	ga_s2bm_ard_3-2-1_54KZV_2022-01-03_final
2022-01-03 10:03:27	ga_s2bm_ard_3-2-1_55KDP_2022-01-03_final
2022-01-03 10:03:28	ga_s2bm_ard_3-2-1_54KYV_2022-01-03_final
2022-01-03 10:03:31	ga_s2bm_ard_3-2-1_55KCP_2022-01-03_final
2022-01-03 10:03:34	ga_s2bm_ard_3-2-1_55KBP_2022-01-03_final
2022-01-03 10:03:34	ga_s2bm_ard_3-2-1_54KZU_2022-01-03_final
2022-01-03 10:03:38	ga_s2bm_ard_3-2-1_54KYU_2022-01-03_final
2022-01-03 10:03:42	ga_s2bm_ard_3-2-1_55JDN_2022-01-03_final
2022-01-03 10:03:46	ga_s2bm_ard_3-2-1_55JCN_2022-01-03_final
2022-01-03 10:03:49	ga_s2bm_ard_3-2-1_54JZT_2022-01-03_final
2022-01-03 10:03:56	ga_s2bm_ard_3-2-1_55JDM_2022-01-03_final
2022-01-03 10:04:00	ga_s2bm_ard_3-2-1_55JCM_2022-01-03_final
2022-01-03 10:04:03	ga_s2bm_ard_3-2-1_54JZS_2022-01-03_final
2022-01-03 10:04:03	ga_s2bm_ard_3-2-1_55JBM_2022-01-03_final
2022-01-03 10:04:07	ga_s2bm_ard_3-2-1_54JYS_2022-01-03_final
2022-01-03 10:04:15	ga_s2bm_ard_3-2-1_55JCL_2022-01-03_final
2022-01-03 10:04:19	ga_s2bm_ard_3-2-1_55JDK_2022-01-03_final
2022-01-03 10:04:28	ga_s2bm_ard_3-2-1_54JXR_2022-01-03_final
2022-01-03 10:05:02	ga_s2bm_ard_3-2-1_55JBH_2022-01-03_final
2022-01-03 10:05:05	ga_s2bm_ard_3-2-1_54JYN_2022-01-03_final
2022-01-03 10:06:15	ga_s2bm_ard_3-2-1_55HBC_2022-01-03_final
2022-01-03 10:06:24	ga_s2bm_ard_3-2-1_54HWH_2022-01-03_final
2022-01-03 10:06:29	ga_s2bm_ard_3-2-1_55HBB_2022-01-03_final
2022-01-03 10:06:30	ga_s2bm_ard_3-2-1_54HVH_2022-01-03_final
2022-01-03 10:06:31	ga_s2bm_ard_3-2-1_54HYG_2022-01-03_final
2022-01-03 10:06:53	ga_s2bm_ard_3-2-1_54HWF_2022-01-03_final
2022-01-03 10:06:56	ga_s2bm_ard_3-2-1_54HVF_2022-01-03_final
2022-01-03 11:40:47	ga_s2bm_ard_3-2-1_51LWG_2022-01-03_final.stac-item
2022-01-03 11:40:48	ga_s2bm_ard_3-2-1_51LVG_2022-01-03_final
2022-01-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2022-01-03_final.stac-item
2022-01-03 11:40:57	ga_s2bm_ard_3-2-1_51LVG_2022-01-03_final
2022-01-03 11:41:11	ga_s2bm_ard_3-2-1_51LVF_2022-01-03_final
2022-01-03 11:41:14	ga_s2bm_ard_3-2-1_51LUF_2022-01-03_final
2022-01-03 11:41:22	ga_s2bm_ard_3-2-1_51LWE_2022-01-03_final
2022-01-03 11:41:26	ga_s2bm_ard_3-2-1_51LVE_2022-01-03_final
2022-01-03 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-01-03_final
2022-01-03 11:41:43	ga_s2bm_ard_3-2-1_51LUD_2022-01-03_final.stac-item
2022-01-03 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2022-01-03_final.stac-item
2022-01-03 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2022-01-03_final
2022-01-03 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2022-01-03_final
2022-01-03 11:42:27	ga_s2bm_ard_3-2-1_51KUA_2022-01-03_final
2022-01-03 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-03_final
2022-01-03 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2022-01-03_final
2022-01-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-03_final
2022-01-03 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2022-01-03_final
2022-01-03 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2022-01-03_final
2022-01-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-03_final
2022-01-03 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-03_final
2022-01-03 11:43:28	ga_s2bm_ard_3-2-1_51KTS_2022-01-03_final
2022-01-03 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2022-01-03_final
2022-01-03 11:43:32	ga_s2bm_ard_3-2-1_50KQB_2022-01-03_final
2022-01-03 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2022-01-03_final
2022-01-03 11:43:43	ga_s2bm_ard_3-2-1_51KTR_2022-01-03_final
2022-01-03 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2022-01-03_final
2022-01-03 11:43:47	ga_s2bm_ard_3-2-1_50KQA_2022-01-03_final
2022-01-03 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2022-01-03_final
2022-01-03 11:43:58	ga_s2bm_ard_3-2-1_51KTQ_2022-01-03_final
2022-01-03 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2022-01-03_final
2022-01-03 11:44:01	ga_s2bm_ard_3-2-1_50KQV_2022-01-03_final
2022-01-03 11:44:06	ga_s2bm_ard_3-2-1_50KPV_2022-01-03_final
2022-01-03 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-03_final
2022-01-03 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2022-01-03_final
2022-01-03 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2022-01-03_final
2022-01-03 11:44:16	ga_s2bm_ard_3-2-1_50KQU_2022-01-03_final
2022-01-03 11:44:19	ga_s2bm_ard_3-2-1_50KPU_2022-01-03_final
2022-01-03 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2022-01-03_final
2022-01-03 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2022-01-03_final
2022-01-03 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2022-01-03_final
2022-01-03 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2022-01-03_final
2022-01-03 11:44:37	ga_s2bm_ard_3-2-1_51JUM_2022-01-03_final
2022-01-03 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2022-01-03_final
2022-01-03 11:44:41	ga_s2bm_ard_3-2-1_51JTM_2022-01-03_final
2022-01-03 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2022-01-03_final
2022-01-03 11:44:48	ga_s2bm_ard_3-2-1_50JPS_2022-01-03_final
2022-01-03 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2022-01-03_final
2022-01-03 11:45:35	ga_s2bm_ard_3-2-1_50JNP_2022-01-03_final
2022-01-03 11:45:39	ga_s2bm_ard_3-2-1_51JTH_2022-01-03_final
2022-01-03 11:45:42	ga_s2bm_ard_3-2-1_50JQN_2022-01-03_final

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

All years