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
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXS_2017-12-19_final
2017-12-20 10:53:02	ga_s2bm_ard_3-2-1_53JKG_2017-12-20_final
2018-02-19 10:23:20	ga_s2bm_ard_3-2-1_53HQB_2018-02-19_final
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LEJ_2018-03-06_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWR_2018-03-12_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HNK_2018-04-27_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXS_2018-05-08_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KWQ_2018-06-27_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-08-28_final
2018-11-17 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-17_final
2018-11-18 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2018-11-18_final
2019-04-02 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2019-04-02_final
2019-04-16 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2019-04-16_final
2019-04-29 11:47:21	ga_s2bm_ard_3-2-1_50HLH_2019-04-29_final
2019-05-29 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-05-29_final
2019-06-28 11:41:41	ga_s2bm_ard_3-2-1_51LUE_2019-06-28_final
2019-06-28 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-06-28_final
2019-07-07 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-07_final
2019-08-08 11:11:09	ga_s2bm_ard_3-2-1_52LFL_2019-08-08_final
2019-09-05 10:36:13	ga_s2bm_ard_3-2-1_53HME_2019-09-05_final
2019-09-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-09-13_final
2019-09-20 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2019-09-20_final
2019-10-23 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-23_final
2019-11-06 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2019-11-06_final
2019-11-12 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-11-12_final
2019-11-22 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2019-11-22_final
2019-12-13 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2019-12-13_final
2019-12-16 11:15:48	ga_s2bm_ard_3-2-1_51JYG_2019-12-16_final
2020-01-19 10:55:33	ga_s2bm_ard_3-2-1_53JKG_2020-01-19_final
2020-04-14 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2020-04-14_final
2020-04-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-04-20_final
2020-05-05 10:45:55	ga_s2bm_ard_3-2-1_53JKF_2020-05-05_final
2020-05-07 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-05-07_final
2020-05-25 10:45:15	ga_s2bm_ard_3-2-1_53JKJ_2020-05-25_final
2020-06-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-29_final
2020-07-04 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2020-07-04_final
2020-07-09 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-09_final
2020-07-31 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-07-31_final
2020-08-02 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2020-08-02_final
2020-08-08 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2020-08-08_final
2020-08-10 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-10_final
2020-08-16 10:53:24	ga_s2bm_ard_3-2-1_52KGB_2020-08-16_final
2020-09-17 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-09-17_final
2020-11-12 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2020-11-12_final
2020-11-15 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-11-15_final
2020-12-03 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2020-12-03_final
2020-12-18 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2020-12-18_final.stac-item
2021-01-02 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2021-01-02_final
2021-01-03 10:55:26	ga_s2bm_ard_3-2-1_52JGN_2021-01-03_final
2021-02-05 11:02:49	ga_s2bm_ard_3-2-1_52KFD_2021-02-05_final
2021-02-14 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-02-14_final
2021-05-22 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2021-05-22_final
2021-07-07 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2021-07-07_final
2021-07-21 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-07-21_final
2021-08-23 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-08-23_final
2021-08-25 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-08-25_final
2021-11-01 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-11-01_final
2021-12-08 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2021-12-08_final
2022-01-04 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2022-01-04_final
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final
2022-02-27 10:56:00	ga_s2bm_ard_3-2-1_52JEL_2022-02-27_final
2022-03-27 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2022-03-27_final
2022-03-28 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-03-28_final
2022-04-03 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2022-04-03_final
2022-04-07 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2022-04-07_final
2022-04-19 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2022-04-19_final.stac-item
2022-05-18 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-05-18_final
2022-06-08 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2022-06-08_final
2022-06-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2022-06-08_final
2022-08-01 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2022-08-01_final
2022-08-15 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2022-08-15_final
2022-09-03 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2022-09-03_final.stac-item
2022-10-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-10-20_final.stac-item
2022-12-15 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2022-12-15_final.stac-item
2023-02-24 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-02-24_final.stac-item
2023-03-15 10:26:40	ga_s2bm_ard_3-2-1_53HPC_2023-03-15_final.stac-item
2023-04-04 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2023-04-04_final.stac-item
2023-04-18 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-18_final.stac-item
2023-05-25 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-05-25_final.stac-item
2023-06-08 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2023-06-08_final.stac-item
2023-07-04 11:33:33	ga_s2bm_ard_3-2-1_51KWS_2023-07-04_final.stac-item
2023-07-14 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-07-14_final.stac-item
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-17_final.stac-item
2023-09-09 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-09-09_final.stac-item
2023-10-19 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-10-19_final.stac-item
2023-10-21 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2023-10-21_final.stac-item
2023-11-12 11:04:19	ga_s2bm_ard_3-2-1_52JET_2023-11-12_final.stac-item
2023-11-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2023-11-24_final.stac-item
2023-11-25 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2023-11-25_final.stac-item
2023-12-11 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-12-11_final.stac-item
2023-12-11 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-12-11_final.stac-item
2023-12-14 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2023-12-14_final.stac-item
2023-12-14 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2023-12-14_final.stac-item
2024-01-01 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2024-01-01_final.stac-item
2024-01-14 11:11:25	ga_s2bm_ard_3-2-1_52LGJ_2024-01-14_final.stac-item
2024-03-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-03-17_final.stac-item
2024-03-20 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2024-03-20_final.stac-item
2024-04-03 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2024-04-03_final.stac-item
2024-04-24 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2024-04-24_final.stac-item
2024-05-21 10:36:28	ga_s2bm_ard_3-2-1_53HLD_2024-05-21_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