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
2023-12-07 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2023-12-07_final.stac-item
2023-12-07 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2023-12-07_final.stac-item
2023-12-07 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2023-12-07_final.stac-item
2023-12-07 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2023-12-07_final.stac-item
2023-12-08 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2023-12-08_final.stac-item
2023-12-08 11:24:15	ga_s2bm_ard_3-2-1_51KXP_2023-12-08_final.stac-item
2023-12-08 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2023-12-08_final.stac-item
2023-12-08 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2023-12-08_final.stac-item
2023-12-09 10:53:17	ga_s2bm_ard_3-2-1_52KGB_2023-12-09_final.stac-item
2023-12-09 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2023-12-09_final.stac-item
2023-12-09 10:53:54	ga_s2bm_ard_3-2-1_52KHU_2023-12-09_final.stac-item
2023-12-09 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2023-12-09_final.stac-item
2023-12-09 10:54:34	ga_s2bm_ard_3-2-1_52JFR_2023-12-09_final.stac-item
2023-12-09 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2023-12-09_final.stac-item
2023-12-09 10:55:13	ga_s2bm_ard_3-2-1_52JFP_2023-12-09_final.stac-item
2023-12-09 10:55:19	ga_s2bm_ard_3-2-1_52JEP_2023-12-09_final.stac-item
2023-12-09 10:55:24	ga_s2bm_ard_3-2-1_52JGN_2023-12-09_final.stac-item
2023-12-09 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2023-12-09_final.stac-item
2023-12-09 10:55:31	ga_s2bm_ard_3-2-1_52JEN_2023-12-09_final.stac-item
2023-12-09 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2023-12-09_final.stac-item
2023-12-09 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2023-12-09_final.stac-item
2023-12-09 10:55:45	ga_s2bm_ard_3-2-1_52JEM_2023-12-09_final.stac-item
2023-12-09 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2023-12-09_final.stac-item
2023-12-09 10:56:00	ga_s2bm_ard_3-2-1_52JEL_2023-12-09_final.stac-item
2023-12-09 10:56:07	ga_s2bm_ard_3-2-1_52HGK_2023-12-09_final.stac-item
2023-12-09 10:56:19	ga_s2bm_ard_3-2-1_52HDK_2023-12-09_final.stac-item
2023-12-10 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2023-12-10_final.stac-item
2023-12-10 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2023-12-10_final.stac-item
2023-12-10 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2023-12-10_final.stac-item
2023-12-10 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2023-12-10_final.stac-item
2023-12-10 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2023-12-10_final.stac-item
2023-12-10 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2023-12-10_final.stac-item
2023-12-10 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-12-10_final.stac-item
2023-12-10 12:03:48	ga_s2bm_ard_3-2-1_50KMA_2023-12-10_final.stac-item
2023-12-10 12:03:52	ga_s2bm_ard_3-2-1_50KLA_2023-12-10_final.stac-item
2023-12-10 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2023-12-10_final.stac-item
2023-12-10 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-12-10_final.stac-item
2023-12-10 12:04:03	ga_s2bm_ard_3-2-1_50KMV_2023-12-10_final.stac-item
2023-12-10 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2023-12-10_final.stac-item
2023-12-10 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-10_final.stac-item
2023-12-10 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2023-12-10_final.stac-item
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2023-12-10_final.stac-item
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-12-10_final.stac-item
2023-12-10 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-12-10_final.stac-item
2023-12-10 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2023-12-10_final.stac-item
2023-12-10 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-12-10_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-12-10_final.stac-item
2023-12-10 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2023-12-10_final.stac-item
2023-12-10 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2023-12-10_final.stac-item
2023-12-10 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2023-12-10_final.stac-item
2023-12-10 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-10_final.stac-item
2023-12-10 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2023-12-10_final.stac-item
2023-12-10 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-12-10_final.stac-item
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final.stac-item
2023-12-10 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-12-10_final.stac-item
2023-12-10 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-12-10_final.stac-item
2023-12-10 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2023-12-10_final.stac-item
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final.stac-item
2023-12-10 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2023-12-10_final.stac-item
2023-12-10 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-12-10_final.stac-item
2023-12-10 12:06:10	ga_s2bm_ard_3-2-1_50JLL_2023-12-10_final.stac-item
2023-12-20 12:00:24	ga_s2bm_ard_3-2-1_50LRP_2023-12-20_nrt.stac-item
2023-12-20 12:00:34	ga_s2bm_ard_3-2-1_50LQP_2023-12-20_nrt.stac-item
2023-12-20 12:00:40	ga_s2bm_ard_3-2-1_50LNP_2023-12-20_nrt.stac-item
2023-12-20 12:00:48	ga_s2bm_ard_3-2-1_50LQN_2023-12-20_nrt.stac-item
2023-12-20 12:00:52	ga_s2bm_ard_3-2-1_50LPN_2023-12-20_nrt.stac-item
2023-12-20 12:00:55	ga_s2bm_ard_3-2-1_50LNN_2023-12-20_nrt.stac-item
2023-12-20 12:01:06	ga_s2bm_ard_3-2-1_50LPM_2023-12-20_nrt.stac-item
2023-12-20 12:01:13	ga_s2bm_ard_3-2-1_50LMM_2023-12-20_nrt.stac-item
2023-12-20 12:01:24	ga_s2bm_ard_3-2-1_50LNL_2023-12-20_nrt.stac-item
2023-12-20 12:01:33	ga_s2bm_ard_3-2-1_50LPK_2023-12-20_nrt.stac-item
2023-12-20 12:01:35	ga_s2bm_ard_3-2-1_50LNK_2023-12-20_nrt.stac-item
2023-12-20 12:02:57	ga_s2bm_ard_3-2-1_50KME_2023-12-20_nrt.stac-item
2023-12-20 12:02:59	ga_s2bm_ard_3-2-1_50KLE_2023-12-20_nrt.stac-item
2023-12-20 12:03:02	ga_s2bm_ard_3-2-1_50KKE_2023-12-20_nrt.stac-item
2023-12-20 12:03:12	ga_s2bm_ard_3-2-1_50KLD_2023-12-20_nrt.stac-item
2023-12-20 12:03:20	ga_s2bm_ard_3-2-1_50KKD_2023-12-20_nrt.stac-item
2023-12-20 12:03:30	ga_s2bm_ard_3-2-1_49KHT_2023-12-20_nrt.stac-item
2023-12-20 12:06:02	ga_s2bm_ard_3-2-1_49JFH_2023-12-20_nrt.stac-item
2023-12-20 12:06:13	ga_s2bm_ard_3-2-1_49JGG_2023-12-20_nrt.stac-item
2023-12-20 12:06:17	ga_s2bm_ard_3-2-1_49JFG_2023-12-20_nrt.stac-item
2023-12-21 11:30:14	ga_s2bm_ard_3-2-1_52LCP_2023-12-21_nrt.stac-item
2023-12-21 11:30:24	ga_s2bm_ard_3-2-1_51LZJ_2023-12-21_nrt.stac-item
2023-12-21 11:30:27	ga_s2bm_ard_3-2-1_51LYJ_2023-12-21_nrt.stac-item
2023-12-21 11:30:30	ga_s2bm_ard_3-2-1_51LXJ_2023-12-21_nrt.stac-item
2023-12-21 11:30:38	ga_s2bm_ard_3-2-1_51LZH_2023-12-21_nrt.stac-item
2023-12-21 11:30:42	ga_s2bm_ard_3-2-1_51LYH_2023-12-21_nrt.stac-item
2023-12-21 11:30:45	ga_s2bm_ard_3-2-1_51LXH_2023-12-21_nrt.stac-item
2023-12-21 11:30:52	ga_s2bm_ard_3-2-1_51LZG_2023-12-21_nrt.stac-item
2023-12-21 11:30:56	ga_s2bm_ard_3-2-1_51LYG_2023-12-21_nrt.stac-item
2023-12-21 11:30:59	ga_s2bm_ard_3-2-1_51LXG_2023-12-21_nrt.stac-item
2023-12-21 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-12-21_nrt.stac-item
2023-12-21 11:31:10	ga_s2bm_ard_3-2-1_51LYF_2023-12-21_nrt.stac-item
2023-12-21 11:31:12	ga_s2bm_ard_3-2-1_51LXF_2023-12-21_nrt.stac-item
2023-12-21 11:31:15	ga_s2bm_ard_3-2-1_51LWF_2023-12-21_nrt.stac-item
2023-12-21 11:31:19	ga_s2bm_ard_3-2-1_51LXE_2023-12-21_nrt.stac-item
2023-12-21 11:31:46	ga_s2bm_ard_3-2-1_51LWD_2023-12-21_nrt.stac-item
2023-12-21 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2023-12-21_nrt.stac-item
2023-12-21 11:37:29	ga_s2bm_ard_3-2-1_51HTA_2023-12-21_nrt.stac-item
2023-12-21 11:37:29	ga_s2bm_ard_3-2-1_50HQF_2023-12-21_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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