Search ga_s2bm_ard_3 on 15th January 2024

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

74 results

Time (local)	Label
2024-01-15 09:05:08	ga_s2bm_ard_3-2-1_57JWF_2024-01-14_final.stac-item
2024-01-15 09:05:12	ga_s2bm_ard_3-2-1_57JVF_2024-01-14_final.stac-item
2024-01-15 10:43:08	ga_s2bm_ard_3-2-1_53KQS_2024-01-15_final.stac-item
2024-01-15 10:43:09	ga_s2bm_ard_3-2-1_53KPS_2024-01-15_final.stac-item
2024-01-15 10:43:11	ga_s2bm_ard_3-2-1_53KNS_2024-01-15_final.stac-item
2024-01-15 10:43:13	ga_s2bm_ard_3-2-1_53KMS_2024-01-15_final.stac-item
2024-01-15 10:43:13	ga_s2bm_ard_3-2-1_53KQR_2024-01-15_final.stac-item
2024-01-15 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2024-01-15_final.stac-item
2024-01-15 10:43:21	ga_s2bm_ard_3-2-1_53KNR_2024-01-15_final.stac-item
2024-01-15 10:43:24	ga_s2bm_ard_3-2-1_53KQQ_2024-01-15_final.stac-item
2024-01-15 10:43:25	ga_s2bm_ard_3-2-1_53KMR_2024-01-15_final.stac-item
2024-01-15 10:43:32	ga_s2bm_ard_3-2-1_53KPQ_2024-01-15_final.stac-item
2024-01-15 10:43:36	ga_s2bm_ard_3-2-1_53KNQ_2024-01-15_final.stac-item
2024-01-15 10:43:39	ga_s2bm_ard_3-2-1_53KMQ_2024-01-15_final.stac-item
2024-01-15 10:43:44	ga_s2bm_ard_3-2-1_53KLQ_2024-01-15_final.stac-item
2024-01-15 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2024-01-15_final.stac-item
2024-01-15 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2024-01-15_final.stac-item
2024-01-15 10:43:54	ga_s2bm_ard_3-2-1_53KMP_2024-01-15_final.stac-item
2024-01-15 10:43:57	ga_s2bm_ard_3-2-1_53KLP_2024-01-15_final.stac-item
2024-01-15 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2024-01-15_final.stac-item
2024-01-15 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2024-01-15_final.stac-item
2024-01-15 10:44:08	ga_s2bm_ard_3-2-1_53JMN_2024-01-15_final.stac-item
2024-01-15 10:44:11	ga_s2bm_ard_3-2-1_53JLN_2024-01-15_final.stac-item
2024-01-15 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2024-01-15_final.stac-item
2024-01-15 10:44:19	ga_s2bm_ard_3-2-1_53JNM_2024-01-15_final.stac-item
2024-01-15 10:44:23	ga_s2bm_ard_3-2-1_53JMM_2024-01-15_final.stac-item
2024-01-15 10:44:26	ga_s2bm_ard_3-2-1_53JLM_2024-01-15_final.stac-item
2024-01-15 10:44:27	ga_s2bm_ard_3-2-1_53JPL_2024-01-15_final.stac-item
2024-01-15 10:44:34	ga_s2bm_ard_3-2-1_53JNL_2024-01-15_final.stac-item
2024-01-15 10:44:37	ga_s2bm_ard_3-2-1_53JML_2024-01-15_final.stac-item
2024-01-15 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2024-01-15_final.stac-item
2024-01-15 10:44:47	ga_s2bm_ard_3-2-1_53JKL_2024-01-15_final.stac-item
2024-01-15 10:44:48	ga_s2bm_ard_3-2-1_53JNK_2024-01-15_final.stac-item
2024-01-15 10:44:52	ga_s2bm_ard_3-2-1_53JMK_2024-01-15_final.stac-item
2024-01-15 10:44:55	ga_s2bm_ard_3-2-1_53JLK_2024-01-15_final.stac-item
2024-01-15 10:44:59	ga_s2bm_ard_3-2-1_53JKK_2024-01-15_final.stac-item
2024-01-15 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2024-01-15_final.stac-item
2024-01-15 10:45:06	ga_s2bm_ard_3-2-1_53JMJ_2024-01-15_final.stac-item
2024-01-15 10:45:07	ga_s2bm_ard_3-2-1_53JLJ_2024-01-15_final.stac-item
2024-01-15 10:45:08	ga_s2bm_ard_3-2-1_53JKJ_2024-01-15_final.stac-item
2024-01-15 10:45:11	ga_s2bm_ard_3-2-1_53JNJ_2024-01-15_final.stac-item
2024-01-15 10:45:11	ga_s2bm_ard_3-2-1_53JNH_2024-01-15_final.stac-item
2024-01-15 10:45:12	ga_s2bm_ard_3-2-1_53JMH_2024-01-15_final.stac-item
2024-01-15 10:45:12	ga_s2bm_ard_3-2-1_53JMJ_2024-01-15_final.stac-item
2024-01-15 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2024-01-15_final.stac-item
2024-01-15 10:45:15	ga_s2bm_ard_3-2-1_53JKJ_2024-01-15_final.stac-item
2024-01-15 10:45:17	ga_s2bm_ard_3-2-1_53JNH_2024-01-15_final.stac-item
2024-01-15 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2024-01-15_final.stac-item
2024-01-15 10:45:24	ga_s2bm_ard_3-2-1_53JLH_2024-01-15_final.stac-item
2024-01-15 10:45:28	ga_s2bm_ard_3-2-1_53JKH_2024-01-15_final.stac-item
2024-01-15 10:45:30	ga_s2bm_ard_3-2-1_53JNG_2024-01-15_final.stac-item
2024-01-15 10:45:35	ga_s2bm_ard_3-2-1_53JMG_2024-01-15_final.stac-item
2024-01-15 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2024-01-15_final.stac-item
2024-01-15 10:45:40	ga_s2bm_ard_3-2-1_53JNF_2024-01-15_final.stac-item
2024-01-15 10:45:42	ga_s2bm_ard_3-2-1_53JKG_2024-01-15_final.stac-item
2024-01-15 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2024-01-15_final.stac-item
2024-01-15 10:45:50	ga_s2bm_ard_3-2-1_53JMF_2024-01-15_final.stac-item
2024-01-15 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2024-01-15_final.stac-item
2024-01-15 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2024-01-15_final.stac-item
2024-01-15 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2024-01-15_final.stac-item
2024-01-15 10:46:04	ga_s2bm_ard_3-2-1_53HME_2024-01-15_final.stac-item
2024-01-15 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2024-01-15_final.stac-item
2024-01-15 10:46:11	ga_s2bm_ard_3-2-1_53HKE_2024-01-15_final.stac-item
2024-01-15 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2024-01-15_final.stac-item
2024-01-15 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2024-01-15_final.stac-item
2024-01-15 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2024-01-15_final.stac-item
2024-01-15 10:46:25	ga_s2bm_ard_3-2-1_53HKD_2024-01-15_nrt.stac-item
2024-01-15 10:46:26	ga_s2bm_ard_3-2-1_52HGJ_2024-01-15_nrt.stac-item
2024-01-15 10:46:29	ga_s2bm_ard_3-2-1_53HMC_2024-01-15_final.stac-item
2024-01-15 10:46:31	ga_s2bm_ard_3-2-1_53HLC_2024-01-15_nrt.stac-item
2024-01-15 10:46:31	ga_s2bm_ard_3-2-1_52HFJ_2024-01-15_nrt.stac-item
2024-01-15 10:46:32	ga_s2bm_ard_3-2-1_53HKC_2024-01-15_nrt.stac-item
2024-01-15 14:13:35	ga_s2bm_ard_3-2-1_43FDB_2024-01-15_final.stac-item
2024-01-15 14:13:37	ga_s2bm_ard_3-2-1_43FCB_2024-01-15_final.stac-item

Return to ga_s2bm_ard_3 on 15th January 2024 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

2024

January

15th