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
2023-04-14 10:22:24	ga_s2bm_ard_3-2-1_54KUE_2023-04-14_final.stac-item
2023-04-14 10:22:31	ga_s2bm_ard_3-2-1_54KVD_2023-04-14_final.stac-item
2023-04-14 10:22:35	ga_s2bm_ard_3-2-1_54KUD_2023-04-14_final.stac-item
2023-04-14 10:22:46	ga_s2bm_ard_3-2-1_54KVC_2023-04-14_final.stac-item
2023-04-14 10:23:40	ga_s2bm_ard_3-2-1_53KRQ_2023-04-14_final.stac-item
2023-04-14 10:23:50	ga_s2bm_ard_3-2-1_54KTU_2023-04-14_final.stac-item
2023-04-14 10:23:51	ga_s2bm_ard_3-2-1_53KRP_2023-04-14_final.stac-item
2023-04-14 10:23:59	ga_s2bm_ard_3-2-1_54JVT_2023-04-14_final.stac-item
2023-04-14 10:24:04	ga_s2bm_ard_3-2-1_53JRN_2023-04-14_final.stac-item
2023-04-14 10:24:09	ga_s2bm_ard_3-2-1_54JWS_2023-04-14_final.stac-item
2023-04-14 10:24:13	ga_s2bm_ard_3-2-1_54JVS_2023-04-14_final.stac-item
2023-04-14 10:24:20	ga_s2bm_ard_3-2-1_54JTS_2023-04-14_final.stac-item
2023-04-14 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2023-04-14_final.stac-item
2023-04-14 10:24:34	ga_s2bm_ard_3-2-1_54JTR_2023-04-14_final.stac-item
2023-04-14 10:24:46	ga_s2bm_ard_3-2-1_54JUQ_2023-04-14_final.stac-item
2023-04-14 10:25:00	ga_s2bm_ard_3-2-1_54JUP_2023-04-14_final.stac-item
2023-04-14 10:25:06	ga_s2bm_ard_3-2-1_53JQJ_2023-04-14_final.stac-item
2023-04-14 10:25:21	ga_s2bm_ard_3-2-1_53JQH_2023-04-14_final.stac-item
2023-04-14 10:25:25	ga_s2bm_ard_3-2-1_54JVM_2023-04-14_final.stac-item
2023-04-14 10:25:36	ga_s2bm_ard_3-2-1_54JVL_2023-04-14_final.stac-item
2023-04-14 10:25:40	ga_s2bm_ard_3-2-1_53JPG_2023-04-14_final.stac-item
2023-04-14 10:26:02	ga_s2bm_ard_3-2-1_54HTK_2023-04-14_final.stac-item
2023-04-14 10:26:07	ga_s2bm_ard_3-2-1_53HPE_2023-04-14_final.stac-item
2023-04-14 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2023-04-14_final.stac-item
2023-04-14 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2023-04-14_final.stac-item
2023-04-14 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2023-04-14_final.stac-item
2023-04-14 10:27:13	ga_s2bm_ard_3-2-1_53HQV_2023-04-14_final.stac-item
2023-04-14 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2023-04-14_final.stac-item
2023-04-14 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2023-04-14_final.stac-item
2023-04-14 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2023-04-14_final.stac-item
2023-04-14 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2023-04-14_final.stac-item
2023-04-14 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2023-04-14_final.stac-item
2023-04-14 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2023-04-14_final.stac-item
2023-04-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-04-14_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-04-14_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_50KNA_2023-04-14_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-04-14 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2023-04-14_final.stac-item
2023-04-14 12:03:56	ga_s2bm_ard_3-2-1_50KLA_2023-04-14_final.stac-item
2023-04-14 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2023-04-14_final.stac-item
2023-04-14 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-04-14_final.stac-item
2023-04-14 12:04:07	ga_s2bm_ard_3-2-1_50KMV_2023-04-14_final.stac-item
2023-04-14 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2023-04-14_final.stac-item
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2023-04-14_final.stac-item
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-04-14_final.stac-item
2023-04-14 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-04-14_final.stac-item
2023-04-14 12:04:22	ga_s2bm_ard_3-2-1_50KMU_2023-04-14_final.stac-item
2023-04-14 12:04:25	ga_s2bm_ard_3-2-1_50KLU_2023-04-14_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-04-14_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2023-04-14_final.stac-item
2023-04-14 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final.stac-item
2023-04-14 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2023-04-14_final.stac-item
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2023-04-14_final.stac-item
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final.stac-item
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2023-04-14_final.stac-item
2023-04-14 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2023-04-14_final.stac-item
2023-04-14 12:04:34	ga_s2bm_ard_3-2-1_50KKU_2023-04-14_final.stac-item
2023-04-14 12:04:34	ga_s2bm_ard_3-2-1_50JKT_2023-04-14_final.stac-item
2023-04-14 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final.stac-item
2023-04-14 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2023-04-14_final.stac-item
2023-04-14 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final.stac-item
2023-04-14 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2023-04-14_final.stac-item
2023-04-14 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2023-04-14_final.stac-item
2023-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-04-14_final.stac-item
2023-04-14 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2023-04-14_final.stac-item
2023-04-14 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2023-04-14_final.stac-item
2023-04-14 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-04-14_final.stac-item
2023-04-14 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2023-04-14_final.stac-item
2023-04-14 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2023-04-14_final.stac-item
2023-04-14 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-04-14_final.stac-item
2023-04-14 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2023-04-14_final.stac-item
2023-04-14 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2023-04-14_final.stac-item
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final.stac-item
2023-04-14 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-04-14_final.stac-item
2023-04-14 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-04-14_final.stac-item
2023-04-14 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-04-14_final.stac-item
2023-04-14 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2023-04-14_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-04-14_final.stac-item
2023-04-14 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2023-04-14_final.stac-item
2023-04-14 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-04-14_final.stac-item
2023-04-14 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2023-04-14_final.stac-item
2023-04-14 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2023-04-14_final.stac-item
2023-04-14 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2023-04-14_final.stac-item
2023-04-14 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2023-04-14_final.stac-item
2023-04-25 09:58:11	ga_s2bm_ard_3-2-1_54GXA_2023-04-25_nrt.stac-item
2023-04-25 11:30:25	ga_s2bm_ard_3-2-1_51LZJ_2023-04-25_nrt.stac-item
2023-04-25 11:30:31	ga_s2bm_ard_3-2-1_51LXJ_2023-04-25_nrt.stac-item
2023-04-25 11:30:39	ga_s2bm_ard_3-2-1_51LZH_2023-04-25_nrt.stac-item
2023-04-25 11:30:46	ga_s2bm_ard_3-2-1_51LXH_2023-04-25_nrt.stac-item
2023-04-25 11:30:52	ga_s2bm_ard_3-2-1_52LBM_2023-04-25_nrt.stac-item
2023-04-25 11:30:54	ga_s2bm_ard_3-2-1_51LZG_2023-04-25_nrt.stac-item
2023-04-25 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-04-25_nrt.stac-item
2023-04-25 11:31:08	ga_s2bm_ard_3-2-1_51LZF_2023-04-25_nrt.stac-item
2023-04-25 11:31:47	ga_s2bm_ard_3-2-1_51LWD_2023-04-25_nrt.stac-item
2023-04-25 11:37:31	ga_s2bm_ard_3-2-1_50HPF_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_50HNF_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_50HQF_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_50HPF_2023-04-25_nrt.stac-item
2023-04-26 11:06:30	ga_s2bm_ard_3-2-1_52HEJ_2023-04-26_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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