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
2021-08-08 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2021-08-08_final
2021-08-08 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2021-08-08_final
2021-08-08 10:42:51	ga_s2bm_ard_3-2-1_53KNT_2021-08-08_final
2021-08-08 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2021-08-08_final
2021-08-08 10:42:55	ga_s2bm_ard_3-2-1_53KQS_2021-08-08_final
2021-08-08 10:42:56	ga_s2bm_ard_3-2-1_53KPT_2021-08-08_final
2021-08-08 10:42:58	ga_s2bm_ard_3-2-1_53KNT_2021-08-08_final
2021-08-08 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2021-08-08_final
2021-08-08 10:43:02	ga_s2bm_ard_3-2-1_53KQS_2021-08-08_final
2021-08-08 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2021-08-08_final
2021-08-08 10:43:20	ga_s2bm_ard_3-2-1_53KPR_2021-08-08_final
2021-08-08 10:43:24	ga_s2bm_ard_3-2-1_53KNR_2021-08-08_final
2021-08-08 10:43:27	ga_s2bm_ard_3-2-1_53KMR_2021-08-08_final
2021-08-08 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2021-08-08_final
2021-08-08 10:43:38	ga_s2bm_ard_3-2-1_53KNQ_2021-08-08_final
2021-08-08 10:43:42	ga_s2bm_ard_3-2-1_53KMQ_2021-08-08_final
2021-08-08 10:43:46	ga_s2bm_ard_3-2-1_53KLQ_2021-08-08_final
2021-08-08 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2021-08-08_final
2021-08-08 10:43:53	ga_s2bm_ard_3-2-1_53KNP_2021-08-08_final
2021-08-08 10:43:56	ga_s2bm_ard_3-2-1_53KMP_2021-08-08_final
2021-08-08 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2021-08-08_final
2021-08-08 10:44:14	ga_s2bm_ard_3-2-1_53JLN_2021-08-08_final
2021-08-08 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2021-08-08_final
2021-08-08 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2021-08-08_final
2021-08-08 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2021-08-08_final
2021-08-08 10:44:49	ga_s2bm_ard_3-2-1_53JKL_2021-08-08_final
2021-08-08 10:44:57	ga_s2bm_ard_3-2-1_53JLK_2021-08-08_final
2021-08-08 10:45:15	ga_s2bm_ard_3-2-1_53JKJ_2021-08-08_final
2021-08-08 10:45:20	ga_s2bm_ard_3-2-1_53JNH_2021-08-08_final
2021-08-08 10:45:23	ga_s2bm_ard_3-2-1_53JMH_2021-08-08_final
2021-08-08 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2021-08-08_final
2021-08-08 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2021-08-08_final
2021-08-08 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2021-08-08_final
2021-08-08 10:45:52	ga_s2bm_ard_3-2-1_53JMF_2021-08-08_final
2021-08-08 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2021-08-08_final
2021-08-08 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-08-08_final
2021-08-08 10:46:13	ga_s2bm_ard_3-2-1_53HKE_2021-08-08_final.stac-item
2021-08-08 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-08-08_final.stac-item
2021-08-08 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2021-08-08_final
2021-08-08 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2021-08-08_final
2021-08-09 10:10:26	ga_s2bm_ard_3-2-1_54LZM_2021-08-09_final
2021-08-09 10:10:51	ga_s2bm_ard_3-2-1_55LCE_2021-08-09_final
2021-08-09 10:11:38	ga_s2bm_ard_3-2-1_55KBB_2021-08-09_final
2021-08-09 10:11:43	ga_s2bm_ard_3-2-1_54KYG_2021-08-09_final
2021-08-09 10:11:53	ga_s2bm_ard_3-2-1_55KBA_2021-08-09_final
2021-08-09 10:11:54	ga_s2bm_ard_3-2-1_54KZF_2021-08-09_final
2021-08-09 10:11:57	ga_s2bm_ard_3-2-1_54KYF_2021-08-09_final
2021-08-09 10:12:07	ga_s2bm_ard_3-2-1_55KBV_2021-08-09_final
2021-08-09 10:12:08	ga_s2bm_ard_3-2-1_54KZE_2021-08-09_final
2021-08-09 10:12:11	ga_s2bm_ard_3-2-1_54KYE_2021-08-09_final
2021-08-09 10:12:22	ga_s2bm_ard_3-2-1_55KBU_2021-08-09_final
2021-08-09 10:12:22	ga_s2bm_ard_3-2-1_54KZD_2021-08-09_final
2021-08-09 10:12:26	ga_s2bm_ard_3-2-1_54KYD_2021-08-09_final
2021-08-09 10:12:29	ga_s2bm_ard_3-2-1_55KCT_2021-08-09_final
2021-08-09 10:12:51	ga_s2bm_ard_3-2-1_55KBS_2021-08-09_final
2021-08-09 10:12:55	ga_s2bm_ard_3-2-1_54KYB_2021-08-09_final
2021-08-09 10:12:58	ga_s2bm_ard_3-2-1_54KXB_2021-08-09_final
2021-08-09 10:13:09	ga_s2bm_ard_3-2-1_54KYA_2021-08-09_final
2021-08-09 10:13:13	ga_s2bm_ard_3-2-1_54KXA_2021-08-09_final
2021-08-09 10:13:16	ga_s2bm_ard_3-2-1_54KWA_2021-08-09_final
2021-08-09 10:13:27	ga_s2bm_ard_3-2-1_54KXV_2021-08-09_final
2021-08-09 10:13:31	ga_s2bm_ard_3-2-1_54KWV_2021-08-09_final
2021-08-09 10:13:33	ga_s2bm_ard_3-2-1_55KBP_2021-08-09_final
2021-08-09 10:13:38	ga_s2bm_ard_3-2-1_54KYU_2021-08-09_final
2021-08-09 10:13:42	ga_s2bm_ard_3-2-1_54KXU_2021-08-09_final
2021-08-09 10:13:45	ga_s2bm_ard_3-2-1_55JBN_2021-08-09_final
2021-08-09 10:13:45	ga_s2bm_ard_3-2-1_54KWU_2021-08-09_final
2021-08-09 10:13:53	ga_s2bm_ard_3-2-1_54JYT_2021-08-09_final
2021-08-09 10:14:11	ga_s2bm_ard_3-2-1_54JXS_2021-08-09_final
2021-08-09 10:14:14	ga_s2bm_ard_3-2-1_54JWS_2021-08-09_final
2021-08-09 10:14:18	ga_s2bm_ard_3-2-1_54JVS_2021-08-09_final
2021-08-09 10:14:22	ga_s2bm_ard_3-2-1_54JYR_2021-08-09_final
2021-08-09 10:14:36	ga_s2bm_ard_3-2-1_54JYQ_2021-08-09_final
2021-08-09 10:14:40	ga_s2bm_ard_3-2-1_54JXQ_2021-08-09_final
2021-08-09 10:14:48	ga_s2bm_ard_3-2-1_54JYP_2021-08-09_final
2021-08-09 10:15:09	ga_s2bm_ard_3-2-1_54JXN_2021-08-09_final
2021-08-09 10:15:13	ga_s2bm_ard_3-2-1_54JWN_2021-08-09_final
2021-08-09 10:15:16	ga_s2bm_ard_3-2-1_54JVN_2021-08-09_final
2021-08-09 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2021-08-09_final
2021-08-09 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2021-08-09_final
2021-08-09 10:15:42	ga_s2bm_ard_3-2-1_54JWL_2021-08-09_final
2021-08-09 10:15:45	ga_s2bm_ard_3-2-1_54JVL_2021-08-09_final
2021-08-09 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2021-08-09_final
2021-08-09 10:16:00	ga_s2bm_ard_3-2-1_54HUK_2021-08-09_final
2021-08-09 10:16:01	ga_s2bm_ard_3-2-1_54HXJ_2021-08-09_final
2021-08-09 10:16:03	ga_s2bm_ard_3-2-1_54HXJ_2021-08-09_final
2021-08-09 10:16:04	ga_s2bm_ard_3-2-1_54HWJ_2021-08-09_final
2021-08-09 10:16:05	ga_s2bm_ard_3-2-1_54HVJ_2021-08-09_final
2021-08-09 10:16:07	ga_s2bm_ard_3-2-1_54HUK_2021-08-09_final
2021-08-09 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2021-08-09_final
2021-08-09 10:16:14	ga_s2bm_ard_3-2-1_54HVJ_2021-08-09_final
2021-08-09 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2021-08-09_final
2021-08-09 10:16:22	ga_s2bm_ard_3-2-1_54HTJ_2021-08-09_final
2021-08-09 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2021-08-09_final
2021-08-09 10:16:28	ga_s2bm_ard_3-2-1_54HVH_2021-08-09_final
2021-08-09 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2021-08-09_final
2021-08-09 10:16:40	ga_s2bm_ard_3-2-1_54HWG_2021-08-09_final
2021-08-09 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2021-08-09_final
2021-08-09 10:16:50	ga_s2bm_ard_3-2-1_54HTG_2021-08-09_final
2021-08-09 10:16:53	ga_s2bm_ard_3-2-1_53HQB_2021-08-09_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