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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HMH_2017-08-07_final
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HNC_2017-10-22_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUP_2017-12-05_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZA_2017-12-29_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HUC_2018-02-07_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTH_2018-03-02_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HXE_2018-03-26_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVC_2018-04-28_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HQB_2018-06-19_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KYU_2018-06-27_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53HLE_2018-07-15_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53HQE_2018-09-20_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final
2018-10-17 10:22:49	ga_s2bm_ard_3-2-1_53HQB_2018-10-17_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JWN_2018-10-25_final
2018-12-27 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2018-12-27_final
2018-12-29 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2018-12-29_final
2019-01-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-01-08_final
2019-01-29 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-01-29_final
2019-03-13 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2019-03-13_final
2019-04-07 11:01:17	ga_s2bm_ard_3-2-1_52LHK_2019-04-07_final
2019-05-25 10:27:10	ga_s2bm_ard_3-2-1_53HQA_2019-05-25_final
2019-06-25 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-06-25_final
2019-07-02 11:23:25	ga_s2bm_ard_3-2-1_52KCB_2019-07-02_final
2019-07-11 11:53:51	ga_s2bm_ard_3-2-1_50KMB_2019-07-11_final
2019-07-30 10:45:19	ga_s2bm_ard_3-2-1_53JLJ_2019-07-30_final
2019-08-23 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2019-08-23_final
2019-09-13 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-09-13_final
2019-11-01 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-11-01_final
2019-11-29 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2019-11-29_final
2019-12-13 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2019-12-13_final
2020-03-01 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-01_final
2020-03-01 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2020-03-01_final
2020-03-02 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2020-03-02_final
2020-03-22 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2020-03-22_final
2020-04-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2020-04-07_final
2020-04-10 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2020-04-10_final
2020-04-27 11:23:39	ga_s2bm_ard_3-2-1_52KBV_2020-04-27_final
2020-05-02 10:36:07	ga_s2bm_ard_3-2-1_53HME_2020-05-02_final
2020-08-02 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2020-08-02_final
2020-08-05 11:25:37	ga_s2bm_ard_3-2-1_51JYH_2020-08-05_final
2020-08-20 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2020-08-20_final
2020-08-30 10:34:54	ga_s2bm_ard_3-2-1_53JPK_2020-08-30_final
2020-09-17 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2020-09-17_final
2020-09-29 10:34:10	ga_s2bm_ard_3-2-1_53JPN_2020-09-29_final
2020-10-17 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-17_final
2020-11-18 10:36:11	ga_s2bm_ard_3-2-1_53HME_2020-11-18_final
2021-01-05 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-01-05_final
2021-01-08 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-01-08_final
2021-01-11 11:53:46	ga_s2bm_ard_3-2-1_50KQA_2021-01-11_final
2021-02-02 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-02-02_final
2021-02-08 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2021-02-08_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final
2021-02-14 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-02-14_final
2021-02-21 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2021-02-21_final
2021-03-09 11:42:36	ga_s2bm_ard_3-2-1_51KUA_2021-03-09_final
2021-03-30 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2021-03-30_final
2021-05-04 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2021-05-04_final
2021-05-18 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-05-18_final
2021-06-17 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-17_final
2021-07-13 12:04:27	ga_s2bm_ard_3-2-1_50KMU_2021-07-13_final
2021-08-02 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2021-08-02_final
2021-10-19 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2021-10-19_final
2021-11-04 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2021-11-04_final
2021-11-08 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-11-08_final
2021-12-31 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-31_final
2022-01-02 10:36:12	ga_s2bm_ard_3-2-1_53HLE_2022-01-02_final
2022-01-09 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2022-01-09_final
2022-01-20 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2022-01-20_final
2022-01-31 11:02:09	ga_s2bm_ard_3-2-1_53KKA_2022-01-31_final
2022-02-01 10:35:14	ga_s2bm_ard_3-2-1_53JPH_2022-02-01_final
2022-02-02 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2022-02-02_final
2022-04-10 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2022-04-10_final
2022-05-04 11:16:03	ga_s2bm_ard_3-2-1_51JYF_2022-05-04_final
2022-06-20 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2022-06-20_final
2022-07-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-07-29_final
2022-08-11 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-08-11_final
2022-09-20 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2022-09-20_final.stac-item
2022-10-02 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2022-10-02_final.stac-item
2022-10-27 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-10-27_final.stac-item
2022-12-12 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2022-12-12_nrt.stac-item
2023-01-26 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2023-01-26_final.stac-item
2023-02-02 10:55:57	ga_s2bm_ard_3-2-1_52JFL_2023-02-02_final.stac-item
2023-02-21 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2023-02-21_final.stac-item
2023-04-08 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-04-08_final.stac-item
2023-04-12 11:21:48	ga_s2bm_ard_3-2-1_52LDH_2023-04-12_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-05-04_final.stac-item
2023-06-07 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-06-07_final.stac-item
2023-07-02 10:53:41	ga_s2bm_ard_3-2-1_53KMQ_2023-07-02_final.stac-item
2023-07-28 11:14:55	ga_s2bm_ard_3-2-1_52JCR_2023-07-28_final.stac-item
2023-09-22 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-09-22_final.stac-item
2023-10-22 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-10-22_final.stac-item
2023-11-04 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-11-04_final.stac-item
2023-11-18 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-11-18_final.stac-item
2023-12-08 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-12-08_final.stac-item
2024-03-10 11:31:48	ga_s2bm_ard_3-2-1_51LWC_2024-03-10_final.stac-item
2024-03-10 11:36:09	ga_s2bm_ard_3-2-1_51JUF_2024-03-10_final.stac-item
2024-03-13 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2024-03-13_final.stac-item
2024-03-25 10:43:46	ga_s2bm_ard_3-2-1_53KLQ_2024-03-25_final.stac-item
2024-03-31 11:02:34	ga_s2bm_ard_3-2-1_52KHD_2024-03-31_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