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
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KVS_2017-08-14_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2017-09-02_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKP_2017-11-01_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVU_2017-12-02_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-05_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KDG_2018-01-28_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LDH_2018-02-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNH_2018-04-24_final
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_53HMD_2018-05-16_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZQ_2018-05-18_final
2018-05-29 10:54:52	ga_s2bm_ard_3-2-1_53JKF_2018-05-29_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HUC_2018-05-31_final
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_52KHC_2018-06-01_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KEA_2018-06-04_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JZN_2018-06-27_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KPC_2018-07-16_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52LEK_2018-09-02_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVU_2018-10-31_final
2018-11-08 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2018-11-08_final
2018-11-21 11:15:57	ga_s2bm_ard_3-2-1_51JXG_2018-11-21_final
2018-12-15 10:55:35	ga_s2bm_ard_3-2-1_53JKG_2018-12-15_final
2019-01-23 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2019-01-23_final
2019-02-22 11:23:30	ga_s2bm_ard_3-2-1_52KBA_2019-02-22_final
2019-02-27 10:36:29	ga_s2bm_ard_3-2-1_53HPC_2019-02-27_final
2019-03-27 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2019-03-27_final
2019-04-05 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-04-05_final
2019-04-29 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-04-29_final
2019-04-30 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-04-30_final
2019-05-03 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-05-03_final
2019-05-06 11:36:22	ga_s2bm_ard_3-2-1_51JUF_2019-05-06_final
2019-07-16 11:05:53	ga_s2bm_ard_3-2-1_52JEM_2019-07-16_final
2019-08-03 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-08-03_final
2019-08-04 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-08-04_final
2019-08-18 11:13:42	ga_s2bm_ard_3-2-1_52KCA_2019-08-18_final
2019-09-06 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2019-09-06_final
2019-09-07 11:12:55	ga_s2bm_ard_3-2-1_52KCD_2019-09-07_final
2019-11-24 10:36:32	ga_s2bm_ard_3-2-1_53HNC_2019-11-24_final
2019-12-05 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2019-12-05_final
2020-01-18 11:22:45	ga_s2bm_ard_3-2-1_52KBD_2020-01-18_final
2020-02-03 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-02-03_final
2020-02-10 11:35:14	ga_s2bm_ard_3-2-1_51JWJ_2020-02-10_final
2020-03-21 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2020-03-21_final
2020-04-02 10:36:47	ga_s2bm_ard_3-2-1_53HNB_2020-04-02_final
2020-04-03 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2020-04-03_final
2020-04-10 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2020-04-10_final
2020-04-24 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2020-04-24_final
2020-04-27 11:23:40	ga_s2bm_ard_3-2-1_51KYQ_2020-04-27_final
2020-05-12 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-05-12_final
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2020-05-19_final
2020-05-30 11:32:46	ga_s2bm_ard_3-2-1_51KYV_2020-05-30_final
2020-06-19 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2020-06-19_final
2020-07-14 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2020-07-14_final
2020-07-19 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2020-07-19_final
2020-07-20 11:04:12	ga_s2bm_ard_3-2-1_52JGT_2020-07-20_final
2020-08-09 11:05:26	ga_s2bm_ard_3-2-1_52JCP_2020-08-09_final
2020-08-16 10:55:20	ga_s2bm_ard_3-2-1_52JFP_2020-08-16_final
2020-08-22 11:10:50	ga_s2bm_ard_3-2-1_52LFM_2020-08-22_final.stac-item
2020-09-01 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2020-09-01_final
2020-09-07 11:34:32	ga_s2bm_ard_3-2-1_51JVN_2020-09-07_final
2020-09-16 12:03:28	ga_s2bm_ard_3-2-1_50KLC_2020-09-16_final
2020-11-09 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2020-11-09_final
2020-11-13 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2020-11-13_final
2021-02-07 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-02-07_final
2021-02-18 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2021-02-18_final
2021-06-08 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2021-06-08_final
2021-06-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2021-06-24_final
2021-07-25 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2021-07-25_final
2021-08-23 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-08-23_final
2021-08-25 10:36:23	ga_s2bm_ard_3-2-1_53HMD_2021-08-25_final
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final
2021-12-22 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2021-12-22_final
2022-01-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-01-03_final
2022-01-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-01-24_final
2022-02-04 10:44:15	ga_s2bm_ard_3-2-1_53JNM_2022-02-04_final
2022-03-24 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-24_final
2022-05-10 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-05-10_final
2022-05-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2022-05-23_final
2022-06-10 11:06:00	ga_s2bm_ard_3-2-1_52JBM_2022-06-10_final
2022-07-15 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2022-07-15_final.stac-item
2022-07-22 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2022-07-22_final
2022-08-06 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2022-08-06_final
2022-08-25 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2022-08-25_final
2022-09-30 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-09-30_final.stac-item
2022-11-20 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-11-20_final.stac-item
2022-11-27 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2022-11-27_final.stac-item
2022-12-26 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2022-12-26_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-03-25_final.stac-item
2023-03-30 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2023-03-30_final.stac-item
2023-05-25 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-05-25_final.stac-item
2023-05-26 11:02:23	ga_s2bm_ard_3-2-1_52KFF_2023-05-26_final.stac-item
2023-06-18 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-06-18_final.stac-item
2023-06-27 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-06-27_final.stac-item
2023-07-01 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-07-01_final.stac-item
2023-08-20 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-08-20_final.stac-item
2023-08-24 11:00:34	ga_s2bm_ard_3-2-1_52LHN_2023-08-24_final.stac-item
2023-11-15 11:14:02	ga_s2bm_ard_3-2-1_52KDU_2023-11-15_final.stac-item
2023-12-31 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2023-12-31_final.stac-item
2024-03-21 11:05:01	ga_s2bm_ard_3-2-1_52JEQ_2024-03-21_final.stac-item
2024-03-27 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2024-03-27_final.stac-item
2024-04-03 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2024-04-03_final.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

Other products

All years