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
2023-09-08 10:10:15	ga_s2bm_ard_3-2-1_54LZN_2023-09-08_final.stac-item
2023-09-08 10:10:30	ga_s2bm_ard_3-2-1_54LZM_2023-09-08_final.stac-item
2023-09-08 10:10:55	ga_s2bm_ard_3-2-1_55LCE_2023-09-08_final.stac-item
2023-09-08 10:11:04	ga_s2bm_ard_3-2-1_54LYK_2023-09-08_final.stac-item
2023-09-08 10:11:13	ga_s2bm_ard_3-2-1_54LZJ_2023-09-08_final.stac-item
2023-09-08 10:11:23	ga_s2bm_ard_3-2-1_55LCC_2023-09-08_final.stac-item
2023-09-08 10:11:28	ga_s2bm_ard_3-2-1_54LZH_2023-09-08_final.stac-item
2023-09-08 10:12:00	ga_s2bm_ard_3-2-1_54KYF_2023-09-08_final.stac-item
2023-09-08 10:12:11	ga_s2bm_ard_3-2-1_55KBV_2023-09-08_final.stac-item
2023-09-08 10:12:44	ga_s2bm_ard_3-2-1_54KYC_2023-09-08_final.stac-item
2023-09-08 10:12:58	ga_s2bm_ard_3-2-1_54KYB_2023-09-08_final.stac-item
2023-09-08 10:13:02	ga_s2bm_ard_3-2-1_54KXB_2023-09-08_final.stac-item
2023-09-08 10:13:09	ga_s2bm_ard_3-2-1_55KBR_2023-09-08_final.stac-item
2023-09-08 10:13:09	ga_s2bm_ard_3-2-1_54KZA_2023-09-08_final.stac-item
2023-09-08 10:13:16	ga_s2bm_ard_3-2-1_54KXA_2023-09-08_final.stac-item
2023-09-08 10:13:20	ga_s2bm_ard_3-2-1_54KWA_2023-09-08_final.stac-item
2023-09-08 10:14:25	ga_s2bm_ard_3-2-1_54JYR_2023-09-08_final.stac-item
2023-09-08 10:14:47	ga_s2bm_ard_3-2-1_54JWQ_2023-09-08_final.stac-item
2023-09-08 10:15:01	ga_s2bm_ard_3-2-1_54JWP_2023-09-08_final.stac-item
2023-09-08 10:15:26	ga_s2bm_ard_3-2-1_54JVN_2023-09-08_final.stac-item
2023-09-08 10:15:37	ga_s2bm_ard_3-2-1_54JUM_2023-09-08_final.stac-item
2023-09-08 10:16:04	ga_s2bm_ard_3-2-1_54HXJ_2023-09-08_final.stac-item
2023-09-08 10:16:14	ga_s2bm_ard_3-2-1_54HWJ_2023-09-08_final.stac-item
2023-09-08 10:16:17	ga_s2bm_ard_3-2-1_54HVJ_2023-09-08_final.stac-item
2023-09-08 10:16:21	ga_s2bm_ard_3-2-1_54HUJ_2023-09-08_final.stac-item
2023-09-08 10:16:32	ga_s2bm_ard_3-2-1_54HVH_2023-09-08_final.stac-item
2023-09-08 10:16:35	ga_s2bm_ard_3-2-1_54HUH_2023-09-08_final.stac-item
2023-09-08 10:16:56	ga_s2bm_ard_3-2-1_53HQB_2023-09-08_final.stac-item
2023-09-08 10:17:08	ga_s2bm_ard_3-2-1_54HWE_2023-09-08_final.stac-item
2023-09-08 10:17:15	ga_s2bm_ard_3-2-1_54HVE_2023-09-08_final.stac-item
2023-09-08 10:17:19	ga_s2bm_ard_3-2-1_54HUE_2023-09-08_final.stac-item
2023-09-08 10:17:23	ga_s2bm_ard_3-2-1_53HQV_2023-09-08_final.stac-item
2023-09-08 10:17:30	ga_s2bm_ard_3-2-1_54HVD_2023-09-08_final.stac-item
2023-09-08 11:51:18	ga_s2bm_ard_3-2-1_51LUF_2023-09-08_final.stac-item
2023-09-08 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-09-08_final.stac-item
2023-09-08 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2023-09-08_final.stac-item
2023-09-08 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2023-09-08_final.stac-item
2023-09-08 11:52:53	ga_s2bm_ard_3-2-1_50KQE_2023-09-08_final.stac-item
2023-09-08 11:53:02	ga_s2bm_ard_3-2-1_50KRD_2023-09-08_final.stac-item
2023-09-08 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2023-09-08_final.stac-item
2023-09-08 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2023-09-08_final.stac-item
2023-09-08 11:53:43	ga_s2bm_ard_3-2-1_50KNB_2023-09-08_final.stac-item
2023-09-08 11:53:51	ga_s2bm_ard_3-2-1_50KQA_2023-09-08_final.stac-item
2023-09-08 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-09-08_final.stac-item
2023-09-08 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2023-09-08_final.stac-item
2023-09-08 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2023-09-08_final.stac-item
2023-09-08 11:55:25	ga_s2bm_ard_3-2-1_50JNQ_2023-09-08_final.stac-item
2023-09-08 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-09-08_final.stac-item
2023-09-08 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2023-09-08_final.stac-item
2023-09-08 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2023-09-08_final.stac-item
2023-09-08 11:56:26	ga_s2bm_ard_3-2-1_50JML_2023-09-08_final.stac-item
2023-09-08 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-09-08_final.stac-item
2023-09-08 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-09-08_final.stac-item
2023-09-18 11:50:33	ga_s2bm_ard_3-2-1_51LUJ_2023-09-18_nrt.stac-item
2023-09-18 11:50:36	ga_s2bm_ard_3-2-1_51LTJ_2023-09-18_nrt.stac-item
2023-09-18 11:50:47	ga_s2bm_ard_3-2-1_51LUH_2023-09-18_nrt.stac-item
2023-09-18 11:50:51	ga_s2bm_ard_3-2-1_51LTH_2023-09-18_nrt.stac-item
2023-09-18 11:51:02	ga_s2bm_ard_3-2-1_51LUG_2023-09-18_nrt.stac-item
2023-09-18 11:51:05	ga_s2bm_ard_3-2-1_51LTG_2023-09-18_nrt.stac-item
2023-09-18 11:51:11	ga_s2bm_ard_3-2-1_50LQM_2023-09-18_nrt.stac-item
2023-09-18 11:51:20	ga_s2bm_ard_3-2-1_51LTF_2023-09-18_nrt.stac-item
2023-09-18 11:51:25	ga_s2bm_ard_3-2-1_50LQL_2023-09-18_nrt.stac-item
2023-09-18 11:51:30	ga_s2bm_ard_3-2-1_50LPL_2023-09-18_nrt.stac-item
2023-09-18 11:51:34	ga_s2bm_ard_3-2-1_51LTE_2023-09-18_nrt.stac-item
2023-09-18 11:51:39	ga_s2bm_ard_3-2-1_50LQK_2023-09-18_nrt.stac-item
2023-09-18 11:51:49	ga_s2bm_ard_3-2-1_51LTD_2023-09-18_nrt.stac-item
2023-09-18 11:51:54	ga_s2bm_ard_3-2-1_50LQJ_2023-09-18_nrt.stac-item
2023-09-18 11:52:03	ga_s2bm_ard_3-2-1_51LTC_2023-09-18_nrt.stac-item
2023-09-18 11:52:08	ga_s2bm_ard_3-2-1_50LQH_2023-09-18_nrt.stac-item
2023-09-18 11:52:19	ga_s2bm_ard_3-2-1_50KRG_2023-09-18_nrt.stac-item
2023-09-18 11:52:26	ga_s2bm_ard_3-2-1_50KPG_2023-09-18_nrt.stac-item
2023-09-18 11:52:34	ga_s2bm_ard_3-2-1_50KRF_2023-09-18_nrt.stac-item
2023-09-18 11:52:48	ga_s2bm_ard_3-2-1_50KRE_2023-09-18_nrt.stac-item
2023-09-18 11:52:55	ga_s2bm_ard_3-2-1_50KPE_2023-09-18_nrt.stac-item
2023-09-18 11:56:32	ga_s2bm_ard_3-2-1_50JKL_2023-09-18_nrt.stac-item
2023-09-18 11:56:36	ga_s2bm_ard_3-2-1_49JGF_2023-09-18_nrt.stac-item
2023-09-18 11:56:48	ga_s2bm_ard_3-2-1_49HGE_2023-09-18_nrt.stac-item
2023-09-18 11:56:54	ga_s2bm_ard_3-2-1_49HGE_2023-09-18_nrt.stac-item
2023-09-18 11:56:55	ga_s2bm_ard_3-2-1_49HGD_2023-09-18_nrt.stac-item
2023-09-18 11:57:03	ga_s2bm_ard_3-2-1_49HGD_2023-09-18_nrt.stac-item
2023-09-18 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-09-18_nrt.stac-item
2023-09-18 11:57:26	ga_s2bm_ard_3-2-1_49HFC_2023-09-18_nrt.stac-item
2023-09-18 11:57:28	ga_s2bm_ard_3-2-1_49HGB_2023-09-18_nrt.stac-item
2023-09-18 11:57:30	ga_s2bm_ard_3-2-1_49HFB_2023-09-18_nrt.stac-item
2023-09-18 11:57:30	ga_s2bm_ard_3-2-1_50HMF_2023-09-18_nrt.stac-item
2023-09-19 09:41:22	ga_s2bm_ard_3-2-1_56LKH_2023-09-19_nrt.stac-item
2023-09-19 09:41:49	ga_s2bm_ard_3-2-1_55KHA_2023-09-19_nrt.stac-item
2023-09-19 09:42:03	ga_s2bm_ard_3-2-1_56KKE_2023-09-19_nrt.stac-item
2023-09-19 09:42:03	ga_s2bm_ard_3-2-1_55KHV_2023-09-19_nrt.stac-item
2023-09-19 09:42:18	ga_s2bm_ard_3-2-1_55KHU_2023-09-19_nrt.stac-item
2023-09-19 09:42:25	ga_s2bm_ard_3-2-1_56KMC_2023-09-19_nrt.stac-item
2023-09-19 09:42:32	ga_s2bm_ard_3-2-1_56KKC_2023-09-19_nrt.stac-item
2023-09-19 09:42:32	ga_s2bm_ard_3-2-1_55KHT_2023-09-19_nrt.stac-item
2023-09-19 09:43:04	ga_s2bm_ard_3-2-1_56KMV_2023-09-19_nrt.stac-item
2023-09-19 09:48:41	ga_s2bm_ard_3-2-1_54GYU_2023-09-19_nrt.stac-item
2023-09-19 09:48:46	ga_s2bm_ard_3-2-1_54GXU_2023-09-19_nrt.stac-item
2023-09-19 09:48:58	ga_s2bm_ard_3-2-1_54GXT_2023-09-19_nrt.stac-item
2023-09-19 09:49:03	ga_s2bm_ard_3-2-1_54GYS_2023-09-19_nrt.stac-item
2023-09-19 09:49:05	ga_s2bm_ard_3-2-1_54GXS_2023-09-19_nrt.stac-item
2023-09-19 11:21:14	ga_s2bm_ard_3-2-1_51LZF_2023-09-19_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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