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
2023-05-01 10:10:28	ga_s2bm_ard_3-2-1_54LZM_2023-05-01_final.stac-item
2023-05-01 10:11:11	ga_s2bm_ard_3-2-1_54LZJ_2023-05-01_final.stac-item
2023-05-01 10:11:15	ga_s2bm_ard_3-2-1_54LYJ_2023-05-01_final.stac-item
2023-05-01 10:11:26	ga_s2bm_ard_3-2-1_54LZH_2023-05-01_final.stac-item
2023-05-01 10:11:40	ga_s2bm_ard_3-2-1_54KZG_2023-05-01_final.stac-item
2023-05-01 10:11:44	ga_s2bm_ard_3-2-1_54KYG_2023-05-01_final.stac-item
2023-05-01 10:11:55	ga_s2bm_ard_3-2-1_54KZF_2023-05-01_final.stac-item
2023-05-01 10:11:58	ga_s2bm_ard_3-2-1_54KYF_2023-05-01_final.stac-item
2023-05-01 10:12:30	ga_s2bm_ard_3-2-1_54KXD_2023-05-01_final.stac-item
2023-05-01 10:12:45	ga_s2bm_ard_3-2-1_54KXC_2023-05-01_final.stac-item
2023-05-01 10:12:52	ga_s2bm_ard_3-2-1_54KZB_2023-05-01_final.stac-item
2023-05-01 10:13:06	ga_s2bm_ard_3-2-1_54KWB_2023-05-01_final.stac-item
2023-05-01 10:13:07	ga_s2bm_ard_3-2-1_54KZA_2023-05-01_final.stac-item
2023-05-01 10:13:29	ga_s2bm_ard_3-2-1_54KXV_2023-05-01_final.stac-item
2023-05-01 10:13:32	ga_s2bm_ard_3-2-1_54KWV_2023-05-01_final.stac-item
2023-05-01 10:13:43	ga_s2bm_ard_3-2-1_54KXU_2023-05-01_final.stac-item
2023-05-01 10:13:47	ga_s2bm_ard_3-2-1_54KWU_2023-05-01_final.stac-item
2023-05-01 10:13:47	ga_s2bm_ard_3-2-1_54JZT_2023-05-01_final.stac-item
2023-05-01 10:14:08	ga_s2bm_ard_3-2-1_54JYS_2023-05-01_final.stac-item
2023-05-01 10:14:16	ga_s2bm_ard_3-2-1_54JWS_2023-05-01_final.stac-item
2023-05-01 10:14:23	ga_s2bm_ard_3-2-1_54JYR_2023-05-01_final.stac-item
2023-05-01 10:14:30	ga_s2bm_ard_3-2-1_54JWR_2023-05-01_final.stac-item
2023-05-01 10:14:39	ga_s2bm_ard_3-2-1_54JXQ_2023-05-01_final.stac-item
2023-05-01 10:14:42	ga_s2bm_ard_3-2-1_54JVQ_2023-05-01_final.stac-item
2023-05-01 10:14:49	ga_s2bm_ard_3-2-1_54JVQ_2023-05-01_final.stac-item
2023-05-01 10:14:55	ga_s2bm_ard_3-2-1_54JXP_2023-05-01_final.stac-item
2023-05-01 10:15:10	ga_s2bm_ard_3-2-1_54JUP_2023-05-01_final.stac-item
2023-05-01 10:15:28	ga_s2bm_ard_3-2-1_54JWM_2023-05-01_final.stac-item
2023-05-01 10:15:32	ga_s2bm_ard_3-2-1_54JVM_2023-05-01_final.stac-item
2023-05-01 10:15:43	ga_s2bm_ard_3-2-1_54JWL_2023-05-01_final.stac-item
2023-05-01 10:15:46	ga_s2bm_ard_3-2-1_54JVL_2023-05-01_final.stac-item
2023-05-01 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2023-05-01_final.stac-item
2023-05-01 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2023-05-01_final.stac-item
2023-05-01 10:16:19	ga_s2bm_ard_3-2-1_54HUJ_2023-05-01_final.stac-item
2023-05-01 10:16:26	ga_s2bm_ard_3-2-1_54HWH_2023-05-01_final.stac-item
2023-05-01 10:16:30	ga_s2bm_ard_3-2-1_54HVH_2023-05-01_final.stac-item
2023-05-01 10:16:33	ga_s2bm_ard_3-2-1_54HUH_2023-05-01_final.stac-item
2023-05-01 10:16:48	ga_s2bm_ard_3-2-1_54HUG_2023-05-01_final.stac-item
2023-05-01 10:16:51	ga_s2bm_ard_3-2-1_54HTG_2023-05-01_final.stac-item
2023-05-01 10:17:02	ga_s2bm_ard_3-2-1_54HUF_2023-05-01_final.stac-item
2023-05-01 10:17:06	ga_s2bm_ard_3-2-1_54HTF_2023-05-01_final.stac-item
2023-05-01 10:17:13	ga_s2bm_ard_3-2-1_54HVE_2023-05-01_final.stac-item
2023-05-01 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2023-05-01_final.stac-item
2023-05-01 11:51:29	ga_s2bm_ard_3-2-1_51LUE_2023-05-01_final.stac-item
2023-05-01 11:51:40	ga_s2bm_ard_3-2-1_51LUD_2023-05-01_final.stac-item
2023-05-01 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2023-05-01_final.stac-item
2023-05-01 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2023-05-01_final.stac-item
2023-05-01 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2023-05-01_final.stac-item
2023-05-01 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-05-01_final.stac-item
2023-05-01 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-05-01_final.stac-item
2023-05-01 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2023-05-01_final.stac-item
2023-05-01 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2023-05-01_final.stac-item
2023-05-01 11:53:56	ga_s2bm_ard_3-2-1_50KPA_2023-05-01_final.stac-item
2023-05-01 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2023-05-01_final.stac-item
2023-05-01 11:54:15	ga_s2bm_ard_3-2-1_50KQU_2023-05-01_final.stac-item
2023-05-01 11:54:25	ga_s2bm_ard_3-2-1_50KNU_2023-05-01_final.stac-item
2023-05-01 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2023-05-01_final.stac-item
2023-05-01 11:54:35	ga_s2bm_ard_3-2-1_50KLU_2023-05-01_final.stac-item
2023-05-01 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2023-05-01_final.stac-item
2023-05-01 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2023-05-01_final.stac-item
2023-05-01 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2023-05-01_final.stac-item
2023-05-01 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2023-05-01_final.stac-item
2023-05-01 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-05-01_final.stac-item
2023-05-01 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2023-05-01_final.stac-item
2023-05-01 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-05-01_final.stac-item
2023-05-01 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2023-05-01_final.stac-item
2023-05-01 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-01_final.stac-item
2023-05-01 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2023-05-01_final.stac-item
2023-05-01 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-05-01_final.stac-item
2023-05-01 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-05-01_final.stac-item
2023-05-01 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-05-01_final.stac-item
2023-05-01 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-05-01_final.stac-item
2023-05-01 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-05-01_final.stac-item
2023-05-01 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-05-01_final.stac-item
2023-05-01 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-05-01_final.stac-item
2023-05-01 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-05-01_final.stac-item
2023-05-01 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-01_final.stac-item
2023-05-01 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-05-01_final.stac-item
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final.stac-item
2023-05-01 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-05-01_final.stac-item
2023-05-02 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2023-05-02_final.stac-item
2023-05-02 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-05-02_final.stac-item
2023-05-03 10:51:21	ga_s2bm_ard_3-2-1_53LPD_2023-05-03_final.stac-item
2023-05-03 10:51:32	ga_s2bm_ard_3-2-1_53LPC_2023-05-03_final.stac-item
2023-05-03 10:52:22	ga_s2bm_ard_3-2-1_52KHF_2023-05-03_final.stac-item
2023-05-03 10:53:23	ga_s2bm_ard_3-2-1_52KGB_2023-05-03_final.stac-item
2023-05-03 10:54:02	ga_s2bm_ard_3-2-1_53JMN_2023-05-03_final.stac-item
2023-05-12 11:20:19	ga_s2bm_ard_3-2-1_52LEP_2023-05-12_nrt.stac-item
2023-05-12 11:20:22	ga_s2bm_ard_3-2-1_52LDP_2023-05-12_nrt.stac-item
2023-05-12 11:20:29	ga_s2bm_ard_3-2-1_52LBP_2023-05-12_nrt.stac-item
2023-05-12 11:20:33	ga_s2bm_ard_3-2-1_52LEN_2023-05-12_nrt.stac-item
2023-05-12 11:20:37	ga_s2bm_ard_3-2-1_52LDN_2023-05-12_nrt.stac-item
2023-05-12 11:20:43	ga_s2bm_ard_3-2-1_52LBN_2023-05-12_nrt.stac-item
2023-05-12 11:20:47	ga_s2bm_ard_3-2-1_52LEM_2023-05-12_nrt.stac-item
2023-05-12 11:20:51	ga_s2bm_ard_3-2-1_52LDM_2023-05-12_nrt.stac-item
2023-05-12 11:21:06	ga_s2bm_ard_3-2-1_52LDL_2023-05-12_nrt.stac-item
2023-05-12 11:21:20	ga_s2bm_ard_3-2-1_52LDK_2023-05-12_nrt.stac-item
2023-05-13 10:50:09	ga_s2bm_ard_3-2-1_53LPJ_2023-05-13_nrt.stac-item
2023-05-13 10:50:15	ga_s2bm_ard_3-2-1_53LMJ_2023-05-13_nrt.stac-item
2023-05-13 10:50:19	ga_s2bm_ard_3-2-1_53LQH_2023-05-13_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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