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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HNB_2017-09-05_final
2017-10-08 10:42:51	ga_s2bm_ard_3-2-1_53JPM_2017-10-08_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUV_2018-03-05_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53HPB_2018-04-13_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUE_2018-04-17_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51HWC_2018-05-05_final.stac-item
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_53HMD_2018-05-16_final
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53JQM_2018-06-12_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXS_2018-07-17_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWR_2018-09-18_final
2018-09-27 10:22:43	ga_s2bm_ard_3-2-1_53HQC_2018-09-27_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXU_2018-10-28_final
2018-11-17 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2018-11-17_final
2019-02-27 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2019-02-27_final
2019-03-17 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-03-17_final
2019-04-09 10:07:26	ga_s2bm_ard_3-2-1_54HXD_2019-04-09_final
2019-04-13 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2019-04-13_final
2019-04-25 10:26:53	ga_s2bm_ard_3-2-1_53HQB_2019-04-25_final
2019-05-07 11:06:26	ga_s2bm_ard_3-2-1_52HDK_2019-05-07_final.stac-item
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_50KKA_2019-06-14_final
2019-07-14 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-14_final
2019-07-27 10:34:23	ga_s2bm_ard_3-2-1_54JTS_2019-07-27_final
2019-08-17 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-08-17_final
2019-08-29 10:44:25	ga_s2bm_ard_3-2-1_53JNM_2019-08-29_final
2019-09-03 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2019-09-03_final
2019-09-06 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2019-09-06_final
2019-09-18 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2019-09-18_final
2019-09-23 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2019-09-23_final
2019-09-25 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2019-09-25_final
2019-12-29 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2019-12-29_final
2020-01-02 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2020-01-02_final
2020-01-20 10:24:13	ga_s2bm_ard_3-2-1_54JTS_2020-01-20_final
2020-01-22 11:02:09	ga_s2bm_ard_3-2-1_52KGF_2020-01-22_final
2020-02-03 11:43:08	ga_s2bm_ard_3-2-1_51KUT_2020-02-03_final
2020-04-22 10:34:20	ga_s2bm_ard_3-2-1_53JNM_2020-04-22_final
2020-04-30 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2020-04-30_final
2020-05-07 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2020-05-07_final
2020-05-21 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2020-05-21_final
2020-06-01 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2020-06-01_final
2020-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-06-09_final
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final
2020-08-04 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2020-08-04_final
2020-08-20 10:36:35	ga_s2bm_ard_3-2-1_53HPC_2020-08-20_final
2020-08-28 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2020-08-28_final
2020-08-30 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2020-08-30_final
2020-08-31 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-31_final
2020-09-04 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-09-04_final
2020-10-04 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-10-04_final
2020-10-14 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2020-10-14_final
2020-10-17 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-10-17_final
2020-11-01 10:43:51	ga_s2bm_ard_3-2-1_53KPP_2020-11-01_final
2020-12-29 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2020-12-29_final
2021-01-07 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2021-01-07_final
2021-01-08 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-01-08_final
2021-01-26 11:01:50	ga_s2bm_ard_3-2-1_52LFH_2021-01-26_final
2021-01-27 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2021-01-27_final
2021-02-04 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-02-04_final
2021-02-18 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2021-02-18_final
2021-02-24 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-02-24_final
2021-03-13 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2021-03-13_final
2021-03-26 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2021-03-26_final
2021-03-29 10:07:42	ga_s2bm_ard_3-2-1_54HVC_2021-03-29_final.stac-item
2021-04-12 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2021-04-12_final
2021-04-15 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-04-15_final
2021-04-26 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2021-04-26_final
2021-05-14 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-05-14_final
2021-06-24 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-06-24_final
2021-07-26 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-26_final
2021-09-12 09:56:50	ga_s2bm_ard_3-2-1_54HYF_2021-09-12_final
2021-11-21 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2021-11-21_final
2021-12-31 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2021-12-31_final
2022-01-22 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2022-01-22_final
2022-01-27 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-01-27_final
2022-02-02 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2022-02-02_final
2022-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2022-03-04_final
2022-04-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-04-23_final
2022-06-18 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-06-18_final
2022-07-06 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2022-07-06_final
2022-07-19 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-19_final
2022-07-31 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2022-07-31_final
2022-08-05 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2022-08-05_final
2022-08-12 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2022-08-12_final
2022-10-19 10:34:43	ga_s2bm_ard_3-2-1_54JTQ_2022-10-19_final.stac-item
2022-12-19 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-12-19_final.stac-item
2022-12-27 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2022-12-27_final.stac-item
2022-12-29 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-12-29_final.stac-item
2023-02-02 10:51:01	ga_s2bm_ard_3-2-1_53LPE_2023-02-02_final.stac-item
2023-05-27 10:34:34	ga_s2bm_ard_3-2-1_54JTR_2023-05-27_final.stac-item
2023-06-06 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-06-06_final.stac-item
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final.stac-item
2023-09-22 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-22_final.stac-item
2023-10-02 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-10-02_final.stac-item
2023-10-22 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-10-22_final.stac-item
2023-10-29 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-10-29_final.stac-item
2023-11-11 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-11-11_final.stac-item
2023-12-01 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-12-01_final.stac-item
2024-01-22 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2024-01-22_final.stac-item
2024-02-21 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-02-21_final.stac-item
2024-04-13 11:12:14	ga_s2bm_ard_3-2-1_52KFF_2024-04-13_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