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
2021-09-01 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2021-09-01_final
2021-09-01 12:04:41	ga_s2bm_ard_3-2-1_50JMS_2021-09-01_final
2021-09-01 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2021-09-01_final
2021-09-01 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-09-01_final
2021-09-01 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-09-01_final
2021-09-01 12:06:11	ga_s2bm_ard_3-2-1_50JLL_2021-09-01_final
2021-09-02 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2021-09-02_final
2021-09-02 11:32:04	ga_s2bm_ard_3-2-1_51KYB_2021-09-02_final
2021-09-03 11:05:41	ga_s2bm_ard_3-2-1_52JEM_2021-09-03_final
2021-09-04 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2021-09-04_final
2021-09-04 10:34:22	ga_s2bm_ard_3-2-1_53JNM_2021-09-04_final
2021-09-04 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2021-09-04_final
2021-09-05 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2021-09-05_final
2021-09-05 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2021-09-05_final
2021-09-05 11:45:08	ga_s2bm_ard_3-2-1_50JNR_2021-09-05_final
2021-09-05 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2021-09-05_final
2021-09-05 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2021-09-05_final
2021-09-06 11:11:45	ga_s2bm_ard_3-2-1_52LEH_2021-09-06_final
2021-09-06 11:12:07	ga_s2bm_ard_3-2-1_52KCG_2021-09-06_final
2021-09-08 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2021-09-08_final
2021-09-08 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2021-09-08_final
2021-09-08 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2021-09-08_final
2021-09-08 11:55:12	ga_s2bm_ard_3-2-1_50JPQ_2021-09-08_final
2021-09-08 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2021-09-08_final
2021-09-08 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-09-08_final
2021-09-08 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-09-08_final
2021-09-09 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2021-09-09_final
2021-09-09 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2021-09-09_final
2021-09-09 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2021-09-09_final
2021-09-10 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2021-09-10_final
2021-09-11 10:27:01	ga_s2bm_ard_3-2-1_53HPA_2021-09-11_final
2021-09-11 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2021-09-11_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-11 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-09-11_final
2021-09-11 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-09-11_final
2021-09-11 12:06:11	ga_s2bm_ard_3-2-1_50JLL_2021-09-11_final
2021-09-12 11:32:04	ga_s2bm_ard_3-2-1_51KYB_2021-09-12_final
2021-09-13 11:02:22	ga_s2bm_ard_3-2-1_52KHE_2021-09-13_final
2021-09-14 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2021-09-14_final
2021-09-15 11:40:57	ga_s2bm_ard_3-2-1_51LVG_2021-09-15_final
2021-09-15 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2021-09-15_final
2021-09-15 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2021-09-15_final
2021-09-15 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2021-09-15_final
2021-09-15 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2021-09-15_final
2021-09-15 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2021-09-15_final
2021-09-16 11:11:59	ga_s2bm_ard_3-2-1_52KEG_2021-09-16_final
2021-09-16 11:12:02	ga_s2bm_ard_3-2-1_52KDG_2021-09-16_final
2021-09-17 10:45:36	ga_s2bm_ard_3-2-1_53JLG_2021-09-17_final
2021-09-17 10:45:40	ga_s2bm_ard_3-2-1_53JKG_2021-09-17_final
2021-09-17 10:46:17	ga_s2bm_ard_3-2-1_53HMD_2021-09-17_final
2021-09-18 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2021-09-18_final
2021-09-18 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2021-09-18_final
2021-09-18 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2021-09-18_final
2021-09-18 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-09-18_final
2021-09-18 11:55:12	ga_s2bm_ard_3-2-1_50JPQ_2021-09-18_final
2021-09-18 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2021-09-18_final
2021-09-18 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2021-09-18_final
2021-09-18 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-09-18_final
2021-09-18 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-09-18_final
2021-09-19 11:22:01	ga_s2bm_ard_3-2-1_52KCG_2021-09-19_final
2021-09-19 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2021-09-19_final
2021-09-19 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2021-09-19_final
2021-09-20 10:52:16	ga_s2bm_ard_3-2-1_52KHF_2021-09-20_final
2021-09-21 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2021-09-21_final
2021-09-21 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-21_final
2021-09-21 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-09-21_final
2021-09-21 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-21_final
2021-09-21 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-09-21_final
2021-09-21 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2021-09-21_final
2021-09-21 12:06:11	ga_s2bm_ard_3-2-1_50JLL_2021-09-21_final
2021-09-21 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2021-09-21_final
2021-09-22 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2021-09-22_final
2021-09-23 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2021-09-23_final
2021-09-23 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2021-09-23_final
2021-09-23 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2021-09-23_final
2021-09-24 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2021-09-24_final
2021-09-24 10:36:23	ga_s2bm_ard_3-2-1_53HMD_2021-09-24_final
2021-09-24 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2021-09-24_final
2021-09-25 11:40:50	ga_s2bm_ard_3-2-1_51LVG_2021-09-25_final
2021-09-25 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2021-09-25_final
2021-09-25 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-09-25_final
2021-09-25 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2021-09-25_final
2021-09-25 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2021-09-25_final
2021-09-25 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-09-25_final
2021-09-25 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2021-09-25_final
2021-09-25 11:45:23	ga_s2bm_ard_3-2-1_50JNQ_2021-09-25_final
2021-09-26 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2021-09-26_final
2021-09-27 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2021-09-27_final
2021-09-28 11:51:26	ga_s2bm_ard_3-2-1_51LUE_2021-09-28_final
2021-09-28 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-09-28_final
2021-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-09-28_final
2021-09-28 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-09-28_final
2021-09-28 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-09-28_final
2021-09-28 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2021-09-28_final
2021-09-28 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-09-28_final
2021-09-28 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-09-28_final
2021-09-28 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-09-28_final
2021-09-29 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2021-09-29_final
2021-09-29 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2021-09-29_final
2021-09-30 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2021-09-30_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