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
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53JNK_2018-04-03_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JNJ_2018-04-06_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53JPM_2018-04-13_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JNJ_2018-04-16_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_53JQH_2018-04-20_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JNK_2018-04-23_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JQJ_2018-04-23_final
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JNK_2018-04-26_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUU_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMJ_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMK_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNK_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQH_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JNM_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JPM_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_51JTF_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_51JTG_2018-05-04_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLH_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLJ_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLK_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMJ_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMK_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNL_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNM_2018-05-07_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JWG_2018-05-08_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_49JGL_2018-05-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQH_2018-05-11_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMJ_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HQH_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNL_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-05-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JPM_2018-05-14_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52LFJ_2018-05-15_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51JXG_2018-05-15_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLH_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLJ_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMJ_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HNK_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JKN_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLL_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JML_2018-05-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JNM_2018-05-17_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQH_2018-05-21_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQJ_2018-05-21_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51JTG_2018-05-21_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52LGL_2018-05-22_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQJ_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JNL_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JNM_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JPM_2018-05-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_51JTF_2018-05-24_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HUC_2018-05-28_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HUD_2018-05-28_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JNQ_2018-06-03_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JPP_2018-06-03_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JPS_2018-06-03_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JQQ_2018-06-03_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JQS_2018-06-03_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLP_2018-06-06_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLQ_2018-06-06_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JMP_2018-06-06_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNR_2018-06-06_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JPP_2018-06-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWH_2018-06-07_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JLP_2018-06-09_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JLQ_2018-06-09_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JMR_2018-06-09_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JUJ_2018-06-10_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JWL_2018-06-10_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JNQ_2018-06-13_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JPN_2018-06-13_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JPP_2018-06-13_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JQS_2018-06-13_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLP_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLQ_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JMQ_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JMR_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JNQ_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JNR_2018-06-16_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JPS_2018-06-16_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51JXM_2018-06-17_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLP_2018-06-19_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLQ_2018-06-19_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JMR_2018-06-19_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51JUH_2018-06-20_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51JVJ_2018-06-20_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JPN_2018-06-23_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JQQ_2018-06-23_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JQR_2018-06-23_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLP_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLQ_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMR_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNQ_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JPP_2018-06-26_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLP_2018-06-29_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JMR_2018-06-29_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