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:

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First 100 results (query limit)

Time (local)	Label
2022-12-31 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2022-12-31_final.stac-item
2022-12-31 10:42:09	ga_s2bm_ard_3-2-1_53KNA_2022-12-31_final.stac-item
2022-12-31 10:43:07	ga_s2bm_ard_3-2-1_53KNS_2022-12-31_final.stac-item
2022-12-31 10:43:25	ga_s2bm_ard_3-2-1_53KMR_2022-12-31_final.stac-item
2022-12-31 10:43:40	ga_s2bm_ard_3-2-1_53KMQ_2022-12-31_final.stac-item
2022-12-31 10:43:44	ga_s2bm_ard_3-2-1_53KLQ_2022-12-31_final.stac-item
2022-12-31 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2022-12-31_final.stac-item
2022-12-31 10:44:26	ga_s2bm_ard_3-2-1_53JLM_2022-12-31_final.stac-item
2022-12-31 10:44:34	ga_s2bm_ard_3-2-1_53JNL_2022-12-31_final.stac-item
2022-12-31 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2022-12-31_final.stac-item
2022-12-31 10:45:18	ga_s2bm_ard_3-2-1_53JNH_2022-12-31_final.stac-item
2022-12-31 10:45:31	ga_s2bm_ard_3-2-1_53JNG_2022-12-31_final.stac-item
2022-12-31 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2022-12-31_final.stac-item
2022-12-31 10:45:53	ga_s2bm_ard_3-2-1_53JKF_2022-12-31_final.stac-item
2022-12-31 10:45:54	ga_s2bm_ard_3-2-1_52JGL_2022-12-31_final.stac-item
2022-12-31 10:45:57	ga_s2bm_ard_3-2-1_53HME_2022-12-31_final.stac-item
2022-12-31 10:46:00	ga_s2bm_ard_3-2-1_53JKF_2022-12-31_final.stac-item
2022-12-31 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2022-12-31_final.stac-item
2023-01-01 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2023-01-01_final.stac-item
2023-01-01 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2023-01-01_final.stac-item
2023-01-01 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-01-01_final.stac-item
2023-01-01 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2023-01-01_final.stac-item
2023-01-01 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2023-01-01_final.stac-item
2023-01-01 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2023-01-01_final.stac-item
2023-01-01 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2023-01-01_final.stac-item
2023-01-01 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2023-01-01_final.stac-item
2023-01-01 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2023-01-01_final.stac-item
2023-01-01 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2023-01-01_final.stac-item
2023-01-01 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2023-01-01_final.stac-item
2023-01-01 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2023-01-01_final.stac-item
2023-01-01 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2023-01-01_final.stac-item
2023-01-01 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2023-01-01_final.stac-item
2023-01-01 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2023-01-01_final.stac-item
2023-01-01 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2023-01-01_final.stac-item
2023-01-01 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2023-01-01_final.stac-item
2023-01-01 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2023-01-01_final.stac-item
2023-01-01 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2023-01-01_final.stac-item
2023-01-01 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2023-01-01_final.stac-item
2023-01-01 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2023-01-01_final.stac-item
2023-01-01 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2023-01-01_final.stac-item
2023-01-01 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2023-01-01_final.stac-item
2023-01-01 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2023-01-01_final.stac-item
2023-01-01 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2023-01-01_final.stac-item
2023-01-01 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2023-01-01_final.stac-item
2023-01-01 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2023-01-01_final.stac-item
2023-01-01 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-01-01_final.stac-item
2023-01-01 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-01-01_final.stac-item
2023-01-01 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2023-01-01_final.stac-item
2023-01-01 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2023-01-01_final.stac-item
2023-01-01 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2023-01-01_final.stac-item
2023-01-01 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2023-01-01_final.stac-item
2023-01-01 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2023-01-01_final.stac-item
2023-01-01 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2023-01-01_final.stac-item
2023-01-01 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-01-01_final.stac-item
2023-01-01 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-01-01_final.stac-item
2023-01-01 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-01-01_final.stac-item
2023-01-01 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-01-01_final.stac-item
2023-01-01 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2023-01-01_final.stac-item
2023-01-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-01-01_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-01 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-01-01_final.stac-item
2023-01-02 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2023-01-02_final.stac-item
2023-01-02 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2023-01-02_final.stac-item
2023-01-02 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2023-01-02_final.stac-item
2023-01-02 11:21:49	ga_s2bm_ard_3-2-1_52LCH_2023-01-02_final.stac-item
2023-01-02 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2023-01-02_final.stac-item
2023-01-02 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2023-01-02_final.stac-item
2023-01-02 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-01-02_final.stac-item
2023-01-02 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2023-01-02_final.stac-item
2023-01-02 11:23:17	ga_s2bm_ard_3-2-1_51KYS_2023-01-02_final.stac-item
2023-01-02 11:23:18	ga_s2bm_ard_3-2-1_51KXS_2023-01-02_final.stac-item
2023-01-02 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2023-01-02_final.stac-item
2023-01-02 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2023-01-02_final.stac-item
2023-01-02 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2023-01-02_final.stac-item
2023-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2023-01-02_final.stac-item
2023-01-02 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2023-01-02_final.stac-item
2023-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-02_final.stac-item
2023-01-02 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2023-01-02_final.stac-item
2023-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-02_final.stac-item
2023-01-02 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2023-01-02_final.stac-item
2023-01-02 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2023-01-02_final.stac-item
2023-01-02 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2023-01-02_final.stac-item
2023-01-02 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2023-01-02_final.stac-item
2023-01-02 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2023-01-02_final.stac-item
2023-01-02 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-01-02_final.stac-item
2023-01-02 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-01-02_final.stac-item
2023-01-02 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2023-01-02_final.stac-item
2023-01-02 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2023-01-02_final.stac-item
2023-01-02 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2023-01-02_final.stac-item
2023-01-02 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2023-01-02_final.stac-item
2023-01-15 11:30:17	ga_s2bm_ard_3-2-1_52LBP_2023-01-15_nrt.stac-item
2023-01-15 11:30:19	ga_s2bm_ard_3-2-1_51LZJ_2023-01-15_nrt.stac-item
2023-01-15 11:30:34	ga_s2bm_ard_3-2-1_51LZH_2023-01-15_nrt.stac-item
2023-01-15 11:30:40	ga_s2bm_ard_3-2-1_51LXH_2023-01-15_nrt.stac-item
2023-01-15 11:30:48	ga_s2bm_ard_3-2-1_51LZG_2023-01-15_nrt.stac-item
2023-01-15 11:31:14	ga_s2bm_ard_3-2-1_51LWF_2023-01-15_nrt.stac-item
2023-01-15 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-01-15_nrt.stac-item
2023-01-15 11:37:26	ga_s2bm_ard_3-2-1_50HQF_2023-01-15_nrt.stac-item
2023-01-15 11:37:27	ga_s2bm_ard_3-2-1_50HPF_2023-01-15_nrt.stac-item
2023-01-15 11:37:30	ga_s2bm_ard_3-2-1_51HTV_2023-01-15_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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