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
2023-07-13 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-07-13_final.stac-item
2023-07-15 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2023-07-15_final.stac-item
2023-07-15 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2023-07-15_final.stac-item
2023-07-15 11:06:23	ga_s2bm_ard_3-2-1_52HDK_2023-07-15_final.stac-item
2023-07-16 10:30:17	ga_s2bm_ard_3-2-1_54LWN_2023-07-16_final.stac-item
2023-07-16 10:31:27	ga_s2bm_ard_3-2-1_54LWH_2023-07-16_final.stac-item
2023-07-16 10:35:10	ga_s2bm_ard_3-2-1_53JPJ_2023-07-16_final.stac-item
2023-07-16 10:36:01	ga_s2bm_ard_3-2-1_53JMF_2023-07-16_final.stac-item
2023-07-16 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2023-07-16_final.stac-item
2023-07-16 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2023-07-16_final.stac-item
2023-07-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-16_final.stac-item
2023-07-17 10:01:23	ga_s2bm_ard_3-2-1_55LEC_2023-07-17_final.stac-item
2023-07-17 10:01:48	ga_s2bm_ard_3-2-1_55KFA_2023-07-17_final.stac-item
2023-07-17 10:03:22	ga_s2bm_ard_3-2-1_55KDQ_2023-07-17_final.stac-item
2023-07-17 10:03:29	ga_s2bm_ard_3-2-1_55KBQ_2023-07-17_final.stac-item
2023-07-17 10:04:59	ga_s2bm_ard_3-2-1_54JYP_2023-07-17_final.stac-item
2023-07-17 10:05:39	ga_s2bm_ard_3-2-1_54JWM_2023-07-17_final.stac-item
2023-07-17 10:06:34	ga_s2bm_ard_3-2-1_54HWH_2023-07-17_final.stac-item
2023-07-17 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-07-17_final.stac-item
2023-07-17 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-07-17_final.stac-item
2023-07-17 11:41:53	ga_s2bm_ard_3-2-1_51LUD_2023-07-17_final.stac-item
2023-07-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-07-17_final.stac-item
2023-07-17 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2023-07-17_final.stac-item
2023-07-17 11:45:30	ga_s2bm_ard_3-2-1_50JNQ_2023-07-17_final.stac-item
2023-07-17 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-17_final.stac-item
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final.stac-item
2023-07-18 09:34:32	ga_s2bm_ard_3-2-1_56JLQ_2023-07-18_final.stac-item
2023-07-18 09:34:57	ga_s2bm_ard_3-2-1_56JMN_2023-07-18_final.stac-item
2023-07-18 09:35:41	ga_s2bm_ard_3-2-1_56HMK_2023-07-18_final.stac-item
2023-07-18 09:35:44	ga_s2bm_ard_3-2-1_56HLK_2023-07-18_final.stac-item
2023-07-18 09:38:46	ga_s2bm_ard_3-2-1_55GCP_2023-07-18_final.stac-item
2023-07-18 09:38:46	ga_s2bm_ard_3-2-1_55GFN_2023-07-18_final.stac-item
2023-07-18 11:12:44	ga_s2bm_ard_3-2-1_52KCE_2023-07-18_final.stac-item
2023-07-18 11:13:19	ga_s2bm_ard_3-2-1_52KBC_2023-07-18_final.stac-item
2023-07-18 11:14:03	ga_s2bm_ard_3-2-1_52KEU_2023-07-18_final.stac-item
2023-07-18 11:14:37	ga_s2bm_ard_3-2-1_52JDS_2023-07-18_final.stac-item
2023-07-18 11:14:52	ga_s2bm_ard_3-2-1_52JDR_2023-07-18_final.stac-item
2023-07-18 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-07-18_final.stac-item
2023-07-19 10:40:33	ga_s2bm_ard_3-2-1_53LPH_2023-07-19_final.stac-item
2023-07-19 10:40:42	ga_s2bm_ard_3-2-1_53LQG_2023-07-19_final.stac-item
2023-07-19 10:40:50	ga_s2bm_ard_3-2-1_53LQG_2023-07-19_final.stac-item
2023-07-19 10:42:28	ga_s2bm_ard_3-2-1_53KRU_2023-07-19_final.stac-item
2023-07-19 10:43:07	ga_s2bm_ard_3-2-1_53KQS_2023-07-19_final.stac-item
2023-07-19 10:44:59	ga_s2bm_ard_3-2-1_53JMK_2023-07-19_final.stac-item
2023-07-19 10:46:30	ga_s2bm_ard_3-2-1_53HLD_2023-07-19_final.stac-item
2023-07-20 10:10:46	ga_s2bm_ard_3-2-1_54LZL_2023-07-20_final.stac-item
2023-07-20 10:12:08	ga_s2bm_ard_3-2-1_54KXF_2023-07-20_final.stac-item
2023-07-20 10:13:10	ga_s2bm_ard_3-2-1_55KBR_2023-07-20_final.stac-item
2023-07-20 10:14:34	ga_s2bm_ard_3-2-1_54JWR_2023-07-20_final.stac-item
2023-07-20 10:16:06	ga_s2bm_ard_3-2-1_54HXJ_2023-07-20_final.stac-item
2023-07-20 10:16:15	ga_s2bm_ard_3-2-1_54HWJ_2023-07-20_final.stac-item
2023-07-20 11:52:43	ga_s2bm_ard_3-2-1_50KPF_2023-07-20_final.stac-item
2023-07-20 11:53:12	ga_s2bm_ard_3-2-1_50KPD_2023-07-20_final.stac-item
2023-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-20_final.stac-item
2023-07-20 11:54:39	ga_s2bm_ard_3-2-1_50JPT_2023-07-20_final.stac-item
2023-07-20 11:56:28	ga_s2bm_ard_3-2-1_50JML_2023-07-20_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final.stac-item
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final.stac-item
2023-07-21 09:42:02	ga_s2bm_ard_3-2-1_56KLE_2023-07-21_final.stac-item
2023-07-21 09:44:55	ga_s2bm_ard_3-2-1_55JEJ_2023-07-21_final.stac-item
2023-07-21 09:45:00	ga_s2bm_ard_3-2-1_56JKN_2023-07-21_final.stac-item
2023-07-21 09:45:35	ga_s2bm_ard_3-2-1_55JFF_2023-07-21_final.stac-item
2023-07-21 09:46:37	ga_s2bm_ard_3-2-1_55HEB_2023-07-21_final.stac-item
2023-07-21 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2023-07-21_final.stac-item
2023-07-21 09:47:28	ga_s2bm_ard_3-2-1_55HCU_2023-07-21_final.stac-item
2023-07-21 09:48:04	ga_s2bm_ard_3-2-1_55GER_2023-07-21_final.stac-item
2023-07-21 11:21:04	ga_s2bm_ard_3-2-1_52LEL_2023-07-21_final.stac-item
2023-07-21 11:22:18	ga_s2bm_ard_3-2-1_51KYB_2023-07-21_final.stac-item
2023-07-21 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2023-07-21_final.stac-item
2023-07-21 11:26:42	ga_s2bm_ard_3-2-1_51HXD_2023-07-21_final.stac-item
2023-07-22 10:53:02	ga_s2bm_ard_3-2-1_53KLT_2023-07-22_final.stac-item
2023-07-22 10:53:16	ga_s2bm_ard_3-2-1_53KLS_2023-07-22_final.stac-item
2023-07-22 10:54:25	ga_s2bm_ard_3-2-1_52JGT_2023-07-22_final.stac-item
2023-07-22 10:55:11	ga_s2bm_ard_3-2-1_53JLJ_2023-07-22_final.stac-item
2023-07-22 10:55:23	ga_s2bm_ard_3-2-1_52JFP_2023-07-22_final.stac-item
2023-07-23 10:19:50	ga_s2bm_ard_3-2-1_54LXQ_2023-07-23_final.stac-item
2023-07-23 10:20:24	ga_s2bm_ard_3-2-1_54LWN_2023-07-23_final.stac-item
2023-07-23 10:21:39	ga_s2bm_ard_3-2-1_54LVH_2023-07-23_final.stac-item
2023-07-23 10:21:43	ga_s2bm_ard_3-2-1_54KYG_2023-07-23_final.stac-item
2023-07-23 10:22:15	ga_s2bm_ard_3-2-1_54KXE_2023-07-23_final.stac-item
2023-07-23 10:22:19	ga_s2bm_ard_3-2-1_54KWE_2023-07-23_final.stac-item
2023-07-23 10:22:41	ga_s2bm_ard_3-2-1_54KUD_2023-07-23_final.stac-item
2023-07-23 10:25:20	ga_s2bm_ard_3-2-1_54JUN_2023-07-23_final.stac-item
2023-07-23 10:26:07	ga_s2bm_ard_3-2-1_54HTK_2023-07-23_final.stac-item
2023-07-23 10:26:51	ga_s2bm_ard_3-2-1_54HTG_2023-07-23_final.stac-item
2023-07-23 12:05:00	ga_s2bm_ard_3-2-1_50JLS_2023-07-23_final.stac-item
2023-07-23 12:06:20	ga_s2bm_ard_3-2-1_50JLL_2023-07-23_final.stac-item
2023-08-05 10:30:43	ga_s2bm_ard_3-2-1_54LTM_2023-08-05_nrt.stac-item
2023-08-05 10:30:55	ga_s2bm_ard_3-2-1_54LTL_2023-08-05_nrt.stac-item
2023-08-05 10:31:10	ga_s2bm_ard_3-2-1_54LTK_2023-08-05_nrt.stac-item
2023-08-05 10:31:18	ga_s2bm_ard_3-2-1_54LTJ_2023-08-05_nrt.stac-item
2023-08-05 10:31:25	ga_s2bm_ard_3-2-1_54LTJ_2023-08-05_nrt.stac-item
2023-08-05 10:31:39	ga_s2bm_ard_3-2-1_54LTH_2023-08-05_nrt.stac-item
2023-08-05 10:36:47	ga_s2bm_ard_3-2-1_53HLC_2023-08-05_nrt.stac-item
2023-08-05 10:37:02	ga_s2bm_ard_3-2-1_53HLB_2023-08-05_nrt.stac-item
2023-08-05 10:37:07	ga_s2bm_ard_3-2-1_53HNA_2023-08-05_nrt.stac-item
2023-08-05 10:37:11	ga_s2bm_ard_3-2-1_53HLA_2023-08-05_nrt.stac-item
2023-08-05 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-08-05_nrt.stac-item
2023-08-05 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-08-05_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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