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
2023-11-24 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2023-11-24_final.stac-item
2023-11-24 11:44:15	ga_s2bm_ard_3-2-1_50KQU_2023-11-24_final.stac-item
2023-11-24 11:46:03	ga_s2bm_ard_3-2-1_51JTF_2023-11-24_final.stac-item
2023-11-24 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2023-11-24_final.stac-item
2023-11-24 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2023-11-24_final.stac-item
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final.stac-item
2023-11-27 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-11-27_final.stac-item
2023-11-27 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2023-11-27_final.stac-item
2023-11-27 11:52:45	ga_s2bm_ard_3-2-1_50KQE_2023-11-27_final.stac-item
2023-11-27 11:52:50	ga_s2bm_ard_3-2-1_51KTU_2023-11-27_final.stac-item
2023-11-27 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2023-11-27_final.stac-item
2023-11-27 11:53:39	ga_s2bm_ard_3-2-1_50KMB_2023-11-27_final.stac-item
2023-11-27 11:54:19	ga_s2bm_ard_3-2-1_50KNU_2023-11-27_final.stac-item
2023-11-27 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2023-11-27_final.stac-item
2023-11-27 11:54:22	ga_s2bm_ard_3-2-1_50KMU_2023-11-27_final.stac-item
2023-11-27 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2023-11-27_final.stac-item
2023-11-27 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2023-11-27_final.stac-item
2023-11-27 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2023-11-27_final.stac-item
2023-11-27 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2023-11-27_final.stac-item
2023-11-27 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2023-11-27_final.stac-item
2023-11-27 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2023-11-27_final.stac-item
2023-11-27 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2023-11-27_final.stac-item
2023-11-27 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2023-11-27_final.stac-item
2023-11-27 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2023-11-27_final.stac-item
2023-11-27 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2023-11-27_final.stac-item
2023-11-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2023-11-27_final.stac-item
2023-11-27 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-11-27_final.stac-item
2023-11-27 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2023-11-27_final.stac-item
2023-11-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-11-27_final.stac-item
2023-11-27 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2023-11-27_final.stac-item
2023-11-27 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-11-27_final.stac-item
2023-11-27 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2023-11-27_final.stac-item
2023-11-27 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-11-27_final.stac-item
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final.stac-item
2023-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-11-27_final.stac-item
2023-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-11-27_final.stac-item
2023-11-28 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2023-11-28_final.stac-item
2023-11-28 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2023-11-28_final.stac-item
2023-11-28 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2023-11-28_final.stac-item
2023-11-28 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2023-11-28_final.stac-item
2023-11-28 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2023-11-28_final.stac-item
2023-11-28 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2023-11-28_final.stac-item
2023-11-28 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-11-28_final.stac-item
2023-11-28 11:25:17	ga_s2bm_ard_3-2-1_51JYJ_2023-11-28_final.stac-item
2023-11-28 11:26:04	ga_s2bm_ard_3-2-1_51JXF_2023-11-28_final.stac-item
2023-11-28 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-11-28_final.stac-item
2023-11-28 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2023-11-28_final.stac-item
2023-11-28 11:27:09	ga_s2bm_ard_3-2-1_51HUB_2023-11-28_final.stac-item
2023-11-29 10:55:13	ga_s2bm_ard_3-2-1_52JFP_2023-11-29_final.stac-item
2023-11-29 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2023-11-29_final.stac-item
2023-11-29 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2023-11-29_final.stac-item
2023-11-30 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2023-11-30_final.stac-item
2023-11-30 12:03:49	ga_s2bm_ard_3-2-1_50KMA_2023-11-30_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2023-11-30_final.stac-item
2023-11-30 12:04:03	ga_s2bm_ard_3-2-1_50KMV_2023-11-30_final.stac-item
2023-11-30 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2023-11-30_final.stac-item
2023-11-30 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-11-30_final.stac-item
2023-11-30 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2023-11-30_final.stac-item
2023-11-30 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2023-11-30_final.stac-item
2023-11-30 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2023-11-30_final.stac-item
2023-11-30 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-30_final.stac-item
2023-11-30 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-30_final.stac-item
2023-11-30 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-11-30_final.stac-item
2023-11-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-11-30_final.stac-item
2023-11-30 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2023-11-30_final.stac-item
2023-11-30 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2023-11-30 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-11-30_final.stac-item
2023-11-30 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-11-30_final.stac-item
2023-11-30 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-11-30_final.stac-item
2023-11-30 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-11-30_final.stac-item
2023-11-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-30_final.stac-item
2023-12-10 12:00:20	ga_s2bm_ard_3-2-1_50LRP_2023-12-10_nrt.stac-item
2023-12-10 12:00:29	ga_s2bm_ard_3-2-1_50LQP_2023-12-10_nrt.stac-item
2023-12-10 12:00:36	ga_s2bm_ard_3-2-1_50LNP_2023-12-10_nrt.stac-item
2023-12-10 12:00:40	ga_s2bm_ard_3-2-1_50LMP_2023-12-10_nrt.stac-item
2023-12-10 12:00:51	ga_s2bm_ard_3-2-1_50LNN_2023-12-10_nrt.stac-item
2023-12-10 12:01:08	ga_s2bm_ard_3-2-1_50LMM_2023-12-10_nrt.stac-item
2023-12-10 12:01:20	ga_s2bm_ard_3-2-1_50LNL_2023-12-10_nrt.stac-item
2023-12-10 12:01:29	ga_s2bm_ard_3-2-1_50LPK_2023-12-10_nrt.stac-item
2023-12-10 12:01:31	ga_s2bm_ard_3-2-1_50LNK_2023-12-10_nrt.stac-item
2023-12-10 12:01:32	ga_s2bm_ard_3-2-1_50LMK_2023-12-10_nrt.stac-item
2023-12-10 12:02:51	ga_s2bm_ard_3-2-1_50KNE_2023-12-10_nrt.stac-item
2023-12-10 12:02:53	ga_s2bm_ard_3-2-1_50KME_2023-12-10_nrt.stac-item
2023-12-10 12:02:54	ga_s2bm_ard_3-2-1_50KLE_2023-12-10_nrt.stac-item
2023-12-10 12:02:57	ga_s2bm_ard_3-2-1_50KKE_2023-12-10_nrt.stac-item
2023-12-10 12:02:59	ga_s2bm_ard_3-2-1_50KND_2023-12-10_nrt.stac-item
2023-12-10 12:03:00	ga_s2bm_ard_3-2-1_50KMD_2023-12-10_nrt.stac-item
2023-12-10 12:03:02	ga_s2bm_ard_3-2-1_50KLE_2023-12-10_nrt.stac-item
2023-12-10 12:03:02	ga_s2bm_ard_3-2-1_50KLD_2023-12-10_nrt.stac-item
2023-12-10 12:03:03	ga_s2bm_ard_3-2-1_50KKD_2023-12-10_nrt.stac-item
2023-12-10 12:03:05	ga_s2bm_ard_3-2-1_50KND_2023-12-10_nrt.stac-item
2023-12-10 12:03:07	ga_s2bm_ard_3-2-1_50KMD_2023-12-10_nrt.stac-item
2023-12-10 12:03:11	ga_s2bm_ard_3-2-1_50KKD_2023-12-10_nrt.stac-item
2023-12-10 12:03:14	ga_s2bm_ard_3-2-1_49KHU_2023-12-10_nrt.stac-item
2023-12-10 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-12-10_nrt.stac-item
2023-12-10 12:05:43	ga_s2bm_ard_3-2-1_49JFJ_2023-12-10_nrt.stac-item
2023-12-10 12:05:58	ga_s2bm_ard_3-2-1_49JFH_2023-12-10_nrt.stac-item
2023-12-10 12:06:09	ga_s2bm_ard_3-2-1_49JGG_2023-12-10_nrt.stac-item
2023-12-10 12:06:19	ga_s2bm_ard_3-2-1_50JKL_2023-12-10_nrt.stac-item
2023-12-10 12:06:21	ga_s2bm_ard_3-2-1_49JGF_2023-12-10_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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