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
2021-09-27 10:44:48	ga_s2bm_ard_3-2-1_53JNK_2021-09-27_final
2021-09-27 10:44:52	ga_s2bm_ard_3-2-1_53JMK_2021-09-27_final
2021-09-27 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-09-27_final
2021-09-27 10:45:06	ga_s2bm_ard_3-2-1_53JMJ_2021-09-27_final
2021-09-27 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2021-09-27_final
2021-09-27 10:45:13	ga_s2bm_ard_3-2-1_53JKJ_2021-09-27_final
2021-09-27 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2021-09-27_final
2021-09-27 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2021-09-27_final
2021-09-27 10:45:40	ga_s2bm_ard_3-2-1_53JNF_2021-09-27_final
2021-09-27 10:45:50	ga_s2bm_ard_3-2-1_53JMF_2021-09-27_final
2021-09-27 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2021-09-27_final
2021-09-27 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2021-09-27_final
2021-09-27 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-09-27_final
2021-09-27 10:46:04	ga_s2bm_ard_3-2-1_53HME_2021-09-27_final
2021-09-27 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2021-09-27_final
2021-09-27 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2021-09-27_final
2021-09-27 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-09-27_final
2021-09-28 10:09:57	ga_s2bm_ard_3-2-1_54LZP_2021-09-28_final
2021-09-28 10:10:10	ga_s2bm_ard_3-2-1_54LZN_2021-09-28_final
2021-09-28 10:10:24	ga_s2bm_ard_3-2-1_54LZM_2021-09-28_final
2021-09-28 10:10:52	ga_s2bm_ard_3-2-1_55LBE_2021-09-28_final
2021-09-28 10:11:04	ga_s2bm_ard_3-2-1_55LCD_2021-09-28_final
2021-09-28 10:11:07	ga_s2bm_ard_3-2-1_55LBD_2021-09-28_final
2021-09-28 10:11:11	ga_s2bm_ard_3-2-1_54LYJ_2021-09-28_final
2021-09-28 10:11:18	ga_s2bm_ard_3-2-1_55LCC_2021-09-28_final
2021-09-28 10:11:26	ga_s2bm_ard_3-2-1_54LYH_2021-09-28_final
2021-09-28 10:11:36	ga_s2bm_ard_3-2-1_55KBB_2021-09-28_final
2021-09-28 10:11:37	ga_s2bm_ard_3-2-1_54KZG_2021-09-28_final
2021-09-28 10:11:41	ga_s2bm_ard_3-2-1_54KYG_2021-09-28_final
2021-09-28 10:11:47	ga_s2bm_ard_3-2-1_55KCA_2021-09-28_final
2021-09-28 10:11:51	ga_s2bm_ard_3-2-1_55KBA_2021-09-28_final
2021-09-28 10:11:52	ga_s2bm_ard_3-2-1_54KZF_2021-09-28_final
2021-09-28 10:11:55	ga_s2bm_ard_3-2-1_54KYF_2021-09-28_final
2021-09-28 10:12:01	ga_s2bm_ard_3-2-1_54KXF_2021-09-28_final
2021-09-28 10:12:02	ga_s2bm_ard_3-2-1_55KCV_2021-09-28_final
2021-09-28 10:12:06	ga_s2bm_ard_3-2-1_54KZE_2021-09-28_final
2021-09-28 10:12:13	ga_s2bm_ard_3-2-1_54KXE_2021-09-28_final
2021-09-28 10:12:15	ga_s2bm_ard_3-2-1_55KCU_2021-09-28_final
2021-09-28 10:12:27	ga_s2bm_ard_3-2-1_55KCT_2021-09-28_final
2021-09-28 10:12:34	ga_s2bm_ard_3-2-1_55KBT_2021-09-28_final
2021-09-28 10:12:35	ga_s2bm_ard_3-2-1_54KZC_2021-09-28_final
2021-09-28 10:12:38	ga_s2bm_ard_3-2-1_54KYC_2021-09-28_final
2021-09-28 10:12:49	ga_s2bm_ard_3-2-1_55KBS_2021-09-28_final
2021-09-28 10:12:53	ga_s2bm_ard_3-2-1_54KYB_2021-09-28_final
2021-09-28 10:12:56	ga_s2bm_ard_3-2-1_54KXB_2021-09-28_final
2021-09-28 10:13:03	ga_s2bm_ard_3-2-1_54KWB_2021-09-28_final
2021-09-28 10:13:03	ga_s2bm_ard_3-2-1_55KBR_2021-09-28_final
2021-09-28 10:13:07	ga_s2bm_ard_3-2-1_54KYA_2021-09-28_final
2021-09-28 10:13:11	ga_s2bm_ard_3-2-1_54KXA_2021-09-28_final
2021-09-28 10:13:14	ga_s2bm_ard_3-2-1_54KWA_2021-09-28_final
2021-09-28 10:13:18	ga_s2bm_ard_3-2-1_55KBQ_2021-09-28_final
2021-09-28 10:13:18	ga_s2bm_ard_3-2-1_54KZV_2021-09-28_final
2021-09-28 10:13:22	ga_s2bm_ard_3-2-1_54KYV_2021-09-28_final
2021-09-28 10:13:25	ga_s2bm_ard_3-2-1_54KXV_2021-09-28_final
2021-09-28 10:13:29	ga_s2bm_ard_3-2-1_54KWV_2021-09-28_final
2021-09-28 10:13:31	ga_s2bm_ard_3-2-1_55KBP_2021-09-28_final
2021-09-28 10:13:36	ga_s2bm_ard_3-2-1_54KYU_2021-09-28_final
2021-09-28 10:13:40	ga_s2bm_ard_3-2-1_54KXU_2021-09-28_final
2021-09-28 10:13:43	ga_s2bm_ard_3-2-1_55JBN_2021-09-28_final
2021-09-28 10:13:43	ga_s2bm_ard_3-2-1_54KWU_2021-09-28_final
2021-09-28 10:13:48	ga_s2bm_ard_3-2-1_54JYT_2021-09-28_final
2021-09-28 10:13:50	ga_s2bm_ard_3-2-1_54JXT_2021-09-28_final
2021-09-28 10:13:52	ga_s2bm_ard_3-2-1_54JWT_2021-09-28_final
2021-09-28 10:13:55	ga_s2bm_ard_3-2-1_54JYT_2021-09-28_final
2021-09-28 10:13:57	ga_s2bm_ard_3-2-1_54JXT_2021-09-28_final
2021-09-28 10:13:59	ga_s2bm_ard_3-2-1_54JWT_2021-09-28_final
2021-09-28 10:14:04	ga_s2bm_ard_3-2-1_54JVT_2021-09-28_final
2021-09-28 10:14:05	ga_s2bm_ard_3-2-1_54JYS_2021-09-28_final
2021-09-28 10:14:09	ga_s2bm_ard_3-2-1_54JXS_2021-09-28_final
2021-09-28 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2021-09-28_final
2021-09-28 10:14:16	ga_s2bm_ard_3-2-1_54JVS_2021-09-28_final
2021-09-28 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2021-09-28_final
2021-09-28 10:14:41	ga_s2bm_ard_3-2-1_54JWQ_2021-09-28_final
2021-09-28 10:14:45	ga_s2bm_ard_3-2-1_54JVQ_2021-09-28_final
2021-09-28 10:14:52	ga_s2bm_ard_3-2-1_54JXP_2021-09-28_final
2021-09-28 10:14:59	ga_s2bm_ard_3-2-1_54JVP_2021-09-28_final
2021-09-28 10:15:06	ga_s2bm_ard_3-2-1_54JUP_2021-09-28_final
2021-09-28 10:15:07	ga_s2bm_ard_3-2-1_54JXN_2021-09-28_final
2021-09-28 10:15:11	ga_s2bm_ard_3-2-1_54JWN_2021-09-28_final
2021-09-28 10:15:21	ga_s2bm_ard_3-2-1_54JXM_2021-09-28_final
2021-09-28 10:15:31	ga_s2bm_ard_3-2-1_54JUM_2021-09-28_final
2021-09-28 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2021-09-28_final
2021-09-28 10:15:39	ga_s2bm_ard_3-2-1_54JWL_2021-09-28_final
2021-09-28 10:15:43	ga_s2bm_ard_3-2-1_54JVL_2021-09-28_final
2021-09-28 10:15:46	ga_s2bm_ard_3-2-1_54JUL_2021-09-28_final
2021-09-28 10:15:49	ga_s2bm_ard_3-2-1_54HXK_2021-09-28_final
2021-09-28 10:15:54	ga_s2bm_ard_3-2-1_54HWK_2021-09-28_final
2021-09-28 10:15:57	ga_s2bm_ard_3-2-1_54HVK_2021-09-28_final
2021-09-28 10:16:01	ga_s2bm_ard_3-2-1_54HUK_2021-09-28_final
2021-09-28 10:16:08	ga_s2bm_ard_3-2-1_54HWJ_2021-09-28_final
2021-09-28 10:16:12	ga_s2bm_ard_3-2-1_54HVJ_2021-09-28_final
2021-09-28 10:16:15	ga_s2bm_ard_3-2-1_54HUJ_2021-09-28_final
2021-09-28 10:16:30	ga_s2bm_ard_3-2-1_54HUH_2021-09-28_final
2021-09-28 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-09-28_final
2021-09-28 10:16:41	ga_s2bm_ard_3-2-1_54HVG_2021-09-28_final
2021-09-28 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2021-09-28_final
2021-09-28 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2021-09-28_final
2021-09-28 10:16:59	ga_s2bm_ard_3-2-1_54HUF_2021-09-28_final
2021-09-28 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2021-09-28_final
2021-09-28 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2021-09-28_final

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

Other products

All years