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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JKN_2017-07-31_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HYD_2017-09-17_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KQB_2017-11-27_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_52HBK_2018-02-04_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51HYE_2018-11-01_final
2019-01-23 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2019-01-23_final
2019-01-26 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2019-01-26_final
2019-02-22 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2019-02-22_final
2019-03-06 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2019-03-06_final
2019-04-30 11:13:59	ga_s2bm_ard_3-2-1_52KCV_2019-04-30_final
2019-07-12 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-12_final
2019-07-24 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-07-24_final
2019-09-07 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2019-09-07_final
2019-09-30 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2019-09-30_final
2019-10-16 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2019-10-16_final
2020-01-08 11:21:45	ga_s2bm_ard_3-2-1_52LBH_2020-01-08_final
2020-02-25 10:42:00	ga_s2bm_ard_3-2-1_53KNA_2020-02-25_final
2020-03-13 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2020-03-13_final
2020-03-14 11:46:45	ga_s2bm_ard_3-2-1_50HNJ_2020-03-14_final
2020-03-30 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2020-03-30_final
2020-04-05 10:45:55	ga_s2bm_ard_3-2-1_53JKF_2020-04-05_final
2020-04-11 11:01:39	ga_s2bm_ard_3-2-1_52LHH_2020-04-11_final
2020-04-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2020-04-13_final
2020-05-09 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2020-05-09_final
2020-08-05 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2020-08-05_final
2020-08-11 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2020-08-11_final
2020-08-20 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2020-08-20_final
2020-09-19 10:34:38	ga_s2bm_ard_3-2-1_53JPL_2020-09-19_final
2020-09-29 10:36:20	ga_s2bm_ard_3-2-1_53HPD_2020-09-29_final
2020-10-21 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2020-10-21_final
2020-10-26 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2020-10-26_final
2020-10-29 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2020-10-29_final
2020-10-30 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-10-30_final
2020-11-09 11:46:27	ga_s2bm_ard_3-2-1_50JML_2020-11-09_final
2020-12-07 11:03:06	ga_s2bm_ard_3-2-1_53KKS_2020-12-07_final
2020-12-10 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-12-10_final
2020-12-20 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2020-12-20_final
2021-01-05 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-01-05_final
2021-01-29 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2021-01-29_final
2021-02-11 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2021-02-11_final
2021-02-11 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-02-11_final
2021-03-13 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2021-03-13_final
2021-03-19 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-03-19_final
2021-04-17 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2021-04-17_final
2021-05-18 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-05-18_final
2021-05-23 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2021-05-23_final
2021-06-10 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-06-10_final
2021-07-17 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-17_final
2021-07-27 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2021-07-27_final
2021-08-02 10:25:50	ga_s2bm_ard_3-2-1_53JQF_2021-08-02_final
2021-08-20 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2021-08-20_final
2021-09-02 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2021-09-02_final
2021-09-21 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2021-09-21_final
2021-11-08 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2021-11-08_final
2022-01-14 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2022-01-14_final.stac-item
2022-01-22 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2022-01-22_final
2022-02-03 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-02-03_final
2022-03-13 10:31:48	ga_s2bm_ard_3-2-1_53KRB_2022-03-13_final
2022-03-18 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2022-03-18_final
2022-03-20 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-03-20_final
2022-03-28 11:24:56	ga_s2bm_ard_3-2-1_51JWL_2022-03-28_final
2022-04-03 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2022-04-03_final
2022-04-04 11:15:21	ga_s2bm_ard_3-2-1_51JYJ_2022-04-04_final
2022-04-27 11:25:53	ga_s2bm_ard_3-2-1_51JVG_2022-04-27_final
2022-05-23 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2022-05-23_final
2022-05-23 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-05-23_final
2022-05-28 10:55:22	ga_s2bm_ard_3-2-1_52JEP_2022-05-28_final
2022-06-11 10:36:34	ga_s2bm_ard_3-2-1_53HPC_2022-06-11_final
2022-06-30 11:05:54	ga_s2bm_ard_3-2-1_52JDM_2022-06-30_final
2022-09-08 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2022-09-08_final.stac-item
2022-09-10 13:21:46	ga_s2bm_ard_3-2-1_47LKG_2022-09-10_interim.stac-item
2022-09-25 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2022-09-25_final.stac-item
2022-09-29 10:33:49	ga_s2bm_ard_3-2-1_53KQP_2022-09-29_final.stac-item
2022-10-02 10:45:25	ga_s2bm_ard_3-2-1_53JLH_2022-10-02_final.stac-item
2022-10-15 10:52:30	ga_s2bm_ard_3-2-1_52KHE_2022-10-15_final.stac-item
2022-10-18 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-10-18_final.stac-item
2022-11-17 11:02:25	ga_s2bm_ard_3-2-1_52KHE_2022-11-17_final.stac-item
2022-12-16 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2022-12-16_final.stac-item
2022-12-17 11:02:32	ga_s2bm_ard_3-2-1_52KFE_2022-12-17_final.stac-item
2022-12-22 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-12-22_interim.stac-item
2023-01-02 11:23:18	ga_s2bm_ard_3-2-1_51KXS_2023-01-02_final.stac-item
2023-01-16 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2023-01-16_final.stac-item
2023-02-01 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-02-01_final.stac-item
2023-02-11 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-02-11_final.stac-item
2023-02-14 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2023-02-14_final.stac-item
2023-03-05 10:26:24	ga_s2bm_ard_3-2-1_53HPD_2023-03-05_final.stac-item
2023-03-08 10:36:14	ga_s2bm_ard_3-2-1_53HME_2023-03-08_final.stac-item
2023-06-01 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2023-06-01_final.stac-item
2023-06-07 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-06-07_final.stac-item
2023-07-09 10:46:15	ga_s2bm_ard_3-2-1_53HLE_2023-07-09_final.stac-item
2023-10-31 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2023-10-31_final.stac-item
2023-11-04 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-11-04_final.stac-item
2023-11-27 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2023-11-27_final.stac-item
2023-11-28 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2023-11-28_final.stac-item
2023-11-29 10:53:25	ga_s2bm_ard_3-2-1_52KHA_2023-11-29_final.stac-item
2024-01-05 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2024-01-05_final.stac-item
2024-01-10 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2024-01-10_final.stac-item
2024-01-24 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2024-01-24_final.stac-item
2024-03-04 11:14:20	ga_s2bm_ard_3-2-1_52JBT_2024-03-04_final.stac-item
2024-03-07 11:21:30	ga_s2bm_ard_3-2-1_52LCJ_2024-03-07_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