Search ga_s2bm_ard_3 across August 2019

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
2019-08-21 11:23:45	ga_s2bm_ard_3-2-1_51KYR_2019-08-21_final
2019-08-21 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2019-08-21_final
2019-08-21 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2019-08-21_final
2019-08-21 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2019-08-21_final
2019-08-21 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2019-08-21_final
2019-08-21 11:24:10	ga_s2bm_ard_3-2-1_51KZP_2019-08-21_final
2019-08-21 11:24:10	ga_s2bm_ard_3-2-1_52KBU_2019-08-21_final
2019-08-21 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2019-08-21_final
2019-08-21 11:24:17	ga_s2bm_ard_3-2-1_51KXP_2019-08-21_final
2019-08-21 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2019-08-21_final
2019-08-21 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2019-08-21_final
2019-08-21 11:24:24	ga_s2bm_ard_3-2-1_52JBT_2019-08-21_final
2019-08-21 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2019-08-21_final
2019-08-21 11:24:35	ga_s2bm_ard_3-2-1_51JWN_2019-08-21_final
2019-08-21 11:24:38	ga_s2bm_ard_3-2-1_51JZM_2019-08-21_final
2019-08-21 11:24:38	ga_s2bm_ard_3-2-1_52JBS_2019-08-21_final
2019-08-21 11:24:42	ga_s2bm_ard_3-2-1_51JYM_2019-08-21_final
2019-08-21 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2019-08-21_final
2019-08-21 11:24:49	ga_s2bm_ard_3-2-1_52JBR_2019-08-21_final
2019-08-21 11:24:50	ga_s2bm_ard_3-2-1_51JWM_2019-08-21_final
2019-08-21 11:24:57	ga_s2bm_ard_3-2-1_51JYL_2019-08-21_final
2019-08-21 11:25:01	ga_s2bm_ard_3-2-1_51JXL_2019-08-21_final
2019-08-21 11:25:04	ga_s2bm_ard_3-2-1_51JWL_2019-08-21_final
2019-08-21 11:25:09	ga_s2bm_ard_3-2-1_51JVL_2019-08-21_final
2019-08-21 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2019-08-21_final
2019-08-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2019-08-21_final
2019-08-21 11:25:18	ga_s2bm_ard_3-2-1_51JWK_2019-08-21_final
2019-08-21 11:25:22	ga_s2bm_ard_3-2-1_51JVK_2019-08-21_final
2019-08-21 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2019-08-21_final
2019-08-21 11:25:30	ga_s2bm_ard_3-2-1_51JXJ_2019-08-21_final
2019-08-21 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2019-08-21_final
2019-08-21 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2019-08-21_final
2019-08-21 11:25:39	ga_s2bm_ard_3-2-1_51JYH_2019-08-21_final
2019-08-21 11:25:44	ga_s2bm_ard_3-2-1_51JXH_2019-08-21_final
2019-08-21 11:25:48	ga_s2bm_ard_3-2-1_51JWH_2019-08-21_final
2019-08-21 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2019-08-21_final
2019-08-21 11:25:51	ga_s2bm_ard_3-2-1_51JVH_2019-08-21_final
2019-08-21 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2019-08-21_final
2019-08-21 11:26:13	ga_s2bm_ard_3-2-1_51JXF_2019-08-21_final
2019-08-21 11:26:20	ga_s2bm_ard_3-2-1_51JVF_2019-08-21_final
2019-08-21 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2019-08-21_final
2019-08-21 11:26:35	ga_s2bm_ard_3-2-1_51HVE_2019-08-21_final
2019-08-21 11:26:38	ga_s2bm_ard_3-2-1_51HUE_2019-08-21_final
2019-08-21 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2019-08-21_final
2019-08-21 11:26:46	ga_s2bm_ard_3-2-1_51HWD_2019-08-21_final
2019-08-21 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2019-08-21_final
2019-08-21 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2019-08-21_final
2019-08-21 11:26:53	ga_s2bm_ard_3-2-1_51HXC_2019-08-21_final
2019-08-21 11:27:04	ga_s2bm_ard_3-2-1_51HVC_2019-08-21_final
2019-08-21 11:27:13	ga_s2bm_ard_3-2-1_51HTC_2019-08-21_final
2019-08-21 11:27:14	ga_s2bm_ard_3-2-1_51HWB_2019-08-21_final
2019-08-21 11:27:16	ga_s2bm_ard_3-2-1_51HVB_2019-08-21_final
2019-08-30 11:52:41	ga_s2bm_ard_3-2-1_50KPF_2019-08-30_final
2019-08-30 11:52:52	ga_s2bm_ard_3-2-1_50KQE_2019-08-30_final
2019-08-30 11:52:58	ga_s2bm_ard_3-2-1_51KTU_2019-08-30_final
2019-08-30 11:53:03	ga_s2bm_ard_3-2-1_50KRD_2019-08-30_final
2019-08-30 11:53:07	ga_s2bm_ard_3-2-1_50KQD_2019-08-30_final
2019-08-30 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2019-08-30_final
2019-08-30 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2019-08-30_final
2019-08-30 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2019-08-30_final
2019-08-30 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2019-08-30_final
2019-08-30 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2019-08-30_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KQB_2019-08-30_final
2019-08-30 11:53:39	ga_s2bm_ard_3-2-1_50KPB_2019-08-30_final
2019-08-30 11:53:43	ga_s2bm_ard_3-2-1_50KNB_2019-08-30_final
2019-08-30 11:53:46	ga_s2bm_ard_3-2-1_50KMB_2019-08-30_final
2019-08-30 11:53:50	ga_s2bm_ard_3-2-1_50KQA_2019-08-30_final
2019-08-30 11:53:54	ga_s2bm_ard_3-2-1_50KPA_2019-08-30_final
2019-08-30 11:53:57	ga_s2bm_ard_3-2-1_50KNA_2019-08-30_final
2019-08-30 11:54:00	ga_s2bm_ard_3-2-1_50KMA_2019-08-30_final
2019-08-30 11:54:04	ga_s2bm_ard_3-2-1_50KQV_2019-08-30_final
2019-08-30 11:54:08	ga_s2bm_ard_3-2-1_50KPV_2019-08-30_final
2019-08-30 11:54:12	ga_s2bm_ard_3-2-1_50KNV_2019-08-30_final
2019-08-30 11:54:15	ga_s2bm_ard_3-2-1_50KMV_2019-08-30_final
2019-08-30 11:54:17	ga_s2bm_ard_3-2-1_50KQU_2019-08-30_final
2019-08-30 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2019-08-30_final
2019-08-30 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2019-08-30_final
2019-08-30 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2019-08-30_final
2019-08-30 11:54:30	ga_s2bm_ard_3-2-1_50KMU_2019-08-30_final
2019-08-30 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2019-08-30_final
2019-08-30 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2019-08-30_final
2019-08-30 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2019-08-30_final
2019-08-30 11:54:44	ga_s2bm_ard_3-2-1_50JMT_2019-08-30_final
2019-08-30 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2019-08-30_final
2019-08-30 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2019-08-30_final
2019-08-30 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2019-08-30_final
2019-08-30 11:54:59	ga_s2bm_ard_3-2-1_50JMS_2019-08-30_final
2019-08-30 11:55:02	ga_s2bm_ard_3-2-1_50JLS_2019-08-30_final
2019-08-30 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2019-08-30_final
2019-08-30 11:55:10	ga_s2bm_ard_3-2-1_50JNR_2019-08-30_final
2019-08-30 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2019-08-30_final
2019-08-30 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2019-08-30_final
2019-08-30 11:55:19	ga_s2bm_ard_3-2-1_50JPQ_2019-08-30_final
2019-08-30 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2019-08-30_final
2019-08-30 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2019-08-30_final
2019-08-30 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2019-08-30_final
2019-08-30 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2019-08-30_final
2019-08-30 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2019-08-30_final
2019-08-30 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2019-08-30_final

Return to ga_s2bm_ard_3 across August 2019 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

2019

August

All days