Search ga_s2bm_ard_3 on 1st September 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
2023-09-01 10:19:42	ga_s2bm_ard_3-2-1_54LZQ_2023-09-01_final.stac-item
2023-09-01 10:19:46	ga_s2bm_ard_3-2-1_54LYQ_2023-09-01_final.stac-item
2023-09-01 10:19:49	ga_s2bm_ard_3-2-1_54LXQ_2023-09-01_final.stac-item
2023-09-01 10:19:57	ga_s2bm_ard_3-2-1_54LZP_2023-09-01_final.stac-item
2023-09-01 10:20:04	ga_s2bm_ard_3-2-1_54LXP_2023-09-01_final.stac-item
2023-09-01 10:20:10	ga_s2bm_ard_3-2-1_55LBH_2023-09-01_nrt.stac-item
2023-09-01 10:20:11	ga_s2bm_ard_3-2-1_54LZN_2023-09-01_final.stac-item
2023-09-01 10:20:15	ga_s2bm_ard_3-2-1_54LYN_2023-09-01_final.stac-item
2023-09-01 10:20:23	ga_s2bm_ard_3-2-1_54LWN_2023-09-01_final.stac-item
2023-09-01 10:20:23	ga_s2bm_ard_3-2-1_55LBG_2023-09-01_nrt.stac-item
2023-09-01 10:20:26	ga_s2bm_ard_3-2-1_54LZM_2023-09-01_final.stac-item
2023-09-01 10:20:29	ga_s2bm_ard_3-2-1_54LYM_2023-09-01_final.stac-item
2023-09-01 10:20:33	ga_s2bm_ard_3-2-1_54LXM_2023-09-01_final.stac-item
2023-09-01 10:20:40	ga_s2bm_ard_3-2-1_54LZL_2023-09-01_final.stac-item
2023-09-01 10:20:44	ga_s2bm_ard_3-2-1_54LYL_2023-09-01_final.stac-item
2023-09-01 10:20:50	ga_s2bm_ard_3-2-1_54LWL_2023-09-01_final.stac-item
2023-09-01 10:21:02	ga_s2bm_ard_3-2-1_54LXK_2023-09-01_final.stac-item
2023-09-01 10:21:05	ga_s2bm_ard_3-2-1_54LWK_2023-09-01_final.stac-item
2023-09-01 10:21:42	ga_s2bm_ard_3-2-1_54KYG_2023-09-01_final.stac-item
2023-09-01 10:21:56	ga_s2bm_ard_3-2-1_54KYF_2023-09-01_final.stac-item
2023-09-01 10:22:23	ga_s2bm_ard_3-2-1_54KXD_2023-09-01_final.stac-item
2023-09-01 10:22:47	ga_s2bm_ard_3-2-1_54KWC_2023-09-01_final.stac-item
2023-09-01 10:22:50	ga_s2bm_ard_3-2-1_54KVC_2023-09-01_final.stac-item
2023-09-01 10:22:53	ga_s2bm_ard_3-2-1_54KUC_2023-09-01_final.stac-item
2023-09-01 10:22:58	ga_s2bm_ard_3-2-1_54KXB_2023-09-01_final.stac-item
2023-09-01 10:23:11	ga_s2bm_ard_3-2-1_54KXA_2023-09-01_final.stac-item
2023-09-01 10:23:22	ga_s2bm_ard_3-2-1_54KUA_2023-09-01_final.stac-item
2023-09-01 10:23:37	ga_s2bm_ard_3-2-1_54KUV_2023-09-01_final.stac-item
2023-09-01 10:23:41	ga_s2bm_ard_3-2-1_54KTV_2023-09-01_final.stac-item
2023-09-01 10:23:54	ga_s2bm_ard_3-2-1_54KTU_2023-09-01_final.stac-item
2023-09-01 10:23:59	ga_s2bm_ard_3-2-1_54JWT_2023-09-01_final.stac-item
2023-09-01 10:24:03	ga_s2bm_ard_3-2-1_54JVT_2023-09-01_final.stac-item
2023-09-01 10:24:09	ga_s2bm_ard_3-2-1_54JTT_2023-09-01_final.stac-item
2023-09-01 10:24:13	ga_s2bm_ard_3-2-1_54JWS_2023-09-01_final.stac-item
2023-09-01 10:24:17	ga_s2bm_ard_3-2-1_54JVS_2023-09-01_final.stac-item
2023-09-01 10:24:21	ga_s2bm_ard_3-2-1_54JUS_2023-09-01_final.stac-item
2023-09-01 10:24:24	ga_s2bm_ard_3-2-1_54JTS_2023-09-01_final.stac-item
2023-09-01 10:24:38	ga_s2bm_ard_3-2-1_54JTR_2023-09-01_final.stac-item
2023-09-01 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2023-09-01_final.stac-item
2023-09-01 10:24:50	ga_s2bm_ard_3-2-1_54JUQ_2023-09-01_final.stac-item
2023-09-01 10:25:01	ga_s2bm_ard_3-2-1_54JVP_2023-09-01_final.stac-item
2023-09-01 10:25:15	ga_s2bm_ard_3-2-1_54JVN_2023-09-01_final.stac-item
2023-09-01 10:25:19	ga_s2bm_ard_3-2-1_54JUN_2023-09-01_final.stac-item
2023-09-01 10:25:33	ga_s2bm_ard_3-2-1_54JUM_2023-09-01_final.stac-item
2023-09-01 10:25:37	ga_s2bm_ard_3-2-1_54JTM_2023-09-01_final.stac-item
2023-09-01 10:25:39	ga_s2bm_ard_3-2-1_53JQG_2023-09-01_final.stac-item
2023-09-01 10:25:40	ga_s2bm_ard_3-2-1_54JVL_2023-09-01_final.stac-item
2023-09-01 10:25:45	ga_s2bm_ard_3-2-1_53JPG_2023-09-01_final.stac-item
2023-09-01 10:25:51	ga_s2bm_ard_3-2-1_54JTL_2023-09-01_final.stac-item
2023-09-01 10:25:54	ga_s2bm_ard_3-2-1_53JQF_2023-09-01_final.stac-item
2023-09-01 10:26:02	ga_s2bm_ard_3-2-1_54HUK_2023-09-01_final.stac-item
2023-09-01 10:26:12	ga_s2bm_ard_3-2-1_53HPE_2023-09-01_final.stac-item
2023-09-01 10:26:20	ga_s2bm_ard_3-2-1_54HTJ_2023-09-01_final.stac-item
2023-09-01 10:26:22	ga_s2bm_ard_3-2-1_53HQD_2023-09-01_final.stac-item
2023-09-01 10:26:32	ga_s2bm_ard_3-2-1_54HUH_2023-09-01_final.stac-item
2023-09-01 10:26:41	ga_s2bm_ard_3-2-1_53HPC_2023-09-01_final.stac-item
2023-09-01 10:26:45	ga_s2bm_ard_3-2-1_53HNC_2023-09-01_final.stac-item
2023-09-01 10:26:49	ga_s2bm_ard_3-2-1_54HTG_2023-09-01_final.stac-item
2023-09-01 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-09-01_final.stac-item
2023-09-01 10:26:59	ga_s2bm_ard_3-2-1_53HNB_2023-09-01_final.stac-item
2023-09-01 10:27:13	ga_s2bm_ard_3-2-1_53HNA_2023-09-01_nrt.stac-item
2023-09-01 12:00:42	ga_s2bm_ard_3-2-1_50LPP_2023-09-01_nrt.stac-item
2023-09-01 12:00:49	ga_s2bm_ard_3-2-1_50LMP_2023-09-01_nrt.stac-item
2023-09-01 12:00:52	ga_s2bm_ard_3-2-1_50LQN_2023-09-01_nrt.stac-item
2023-09-01 12:01:07	ga_s2bm_ard_3-2-1_50LQM_2023-09-01_nrt.stac-item
2023-09-01 12:01:11	ga_s2bm_ard_3-2-1_50LPM_2023-09-01_nrt.stac-item
2023-09-01 12:01:28	ga_s2bm_ard_3-2-1_50LNL_2023-09-01_nrt.stac-item
2023-09-01 12:01:37	ga_s2bm_ard_3-2-1_50LPK_2023-09-01_nrt.stac-item
2023-09-01 12:01:39	ga_s2bm_ard_3-2-1_50LNK_2023-09-01_nrt.stac-item
2023-09-01 12:01:41	ga_s2bm_ard_3-2-1_50LMK_2023-09-01_nrt.stac-item
2023-09-01 12:03:19	ga_s2bm_ard_3-2-1_50KKD_2023-09-01_nrt.stac-item
2023-09-01 12:03:22	ga_s2bm_ard_3-2-1_49KHU_2023-09-01_nrt.stac-item
2023-09-01 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-09-01_final.stac-item
2023-09-01 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-09-01_final.stac-item
2023-09-01 12:03:31	ga_s2bm_ard_3-2-1_50KLC_2023-09-01_final.stac-item
2023-09-01 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-09-01_final.stac-item
2023-09-01 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2023-09-01_final.stac-item
2023-09-01 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-09-01_final.stac-item
2023-09-01 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-09-01_final.stac-item
2023-09-01 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2023-09-01_final.stac-item
2023-09-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-01_final.stac-item
2023-09-01 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-09-01_final.stac-item
2023-09-01 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-09-01_final.stac-item
2023-09-01 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-09-01_final.stac-item
2023-09-01 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-09-01_final.stac-item
2023-09-01 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-09-01_final.stac-item
2023-09-01 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-09-01_final.stac-item
2023-09-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-09-01_final.stac-item
2023-09-01 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-09-01_nrt.stac-item
2023-09-01 12:05:32	ga_s2bm_ard_3-2-1_50JLQ_2023-09-01_final.stac-item
2023-09-01 12:05:37	ga_s2bm_ard_3-2-1_49JFK_2023-09-01_nrt.stac-item
2023-09-01 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2023-09-01_final.stac-item
2023-09-01 12:06:07	ga_s2bm_ard_3-2-1_49JFH_2023-09-01_nrt.stac-item
2023-09-01 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2023-09-01_final.stac-item
2023-09-01 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-09-01_final.stac-item
2023-09-01 12:06:17	ga_s2bm_ard_3-2-1_49JGG_2023-09-01_nrt.stac-item
2023-09-01 12:06:19	ga_s2bm_ard_3-2-1_50JLL_2023-09-01_final.stac-item
2023-09-01 12:06:21	ga_s2bm_ard_3-2-1_49JFG_2023-09-01_nrt.stac-item
2023-09-01 12:06:26	ga_s2bm_ard_3-2-1_50JKL_2023-09-01_nrt.stac-item
2023-09-01 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-09-01_nrt.stac-item

Return to ga_s2bm_ard_3 on 1st September 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

September

1st