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
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53HLE_2017-07-27_final
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54HWG_2017-12-28_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51LYC_2018-01-08_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JUG_2018-01-28_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVR_2018-02-10_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KQG_2018-03-08_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_53KKR_2018-04-12_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXS_2018-05-21_final
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53KQP_2018-07-02_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVT_2018-08-02_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KXU_2018-09-18_final
2018-11-05 10:47:22	ga_s2bm_ard_3-2-1_53KKS_2018-11-05_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53KLR_2018-11-05_final
2018-12-16 10:26:21	ga_s2bm_ard_3-2-1_54HUH_2018-12-16_final
2018-12-19 10:33:47	ga_s2bm_ard_3-2-1_53KPP_2018-12-19_final
2019-02-19 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2019-02-19_final
2019-03-21 11:15:53	ga_s2bm_ard_3-2-1_51JYG_2019-03-21_final
2019-05-05 10:27:09	ga_s2bm_ard_3-2-1_53HQA_2019-05-05_final
2019-06-05 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-06-05_final
2019-06-25 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-06-25_final
2019-06-27 10:33:39	ga_s2bm_ard_3-2-1_54KTV_2019-06-27_final
2019-07-12 11:23:37	ga_s2bm_ard_3-2-1_51KXS_2019-07-12_final
2019-07-16 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-07-16_final
2019-09-08 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2019-09-08_final
2019-10-15 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2019-10-15_final
2019-11-01 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-11-01_final
2019-11-09 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2019-11-09_final
2020-01-21 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2020-01-21_final
2020-02-12 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2020-02-12_final
2020-03-11 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-04-15 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2020-04-15_final
2020-05-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-05-03_final
2020-05-05 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2020-05-05_final
2020-05-15 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2020-05-15_final
2020-05-17 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2020-05-17_final
2020-05-19 10:21:47	ga_s2bm_ard_3-2-1_54KVG_2020-05-19_final
2020-05-23 10:07:15	ga_s2bm_ard_3-2-1_54HYD_2020-05-23_final
2020-06-01 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2020-06-01_final
2020-06-02 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2020-06-02_final
2020-06-09 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-06-09_final
2020-07-06 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2020-07-06_final
2020-07-14 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2020-07-14_final
2020-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-08-08_final
2020-09-17 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-09-17_final
2020-09-20 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-09-20_final
2020-10-09 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2020-10-09_final
2020-10-12 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2020-10-12_final
2020-10-23 10:16:42	ga_s2bm_ard_3-2-1_54HWG_2020-10-23_final
2020-12-10 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2020-12-10_final
2021-01-02 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2021-01-02_final
2021-01-02 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-01-02_final
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-01-08_final
2021-01-16 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2021-01-16_final
2021-02-01 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-02-01_final
2021-02-05 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2021-02-05_final
2021-02-08 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2021-02-08_final
2021-03-14 10:52:24	ga_s2bm_ard_3-2-1_53KNV_2021-03-14_final
2021-03-18 10:33:48	ga_s2bm_ard_3-2-1_53KQP_2021-03-18_final
2021-03-23 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-03-23_final
2021-03-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-23_final
2021-04-30 10:40:50	ga_s2bm_ard_3-2-1_53LPF_2021-04-30_final
2021-05-15 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-05-15_final
2021-05-20 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2021-05-20_final
2021-06-18 11:15:43	ga_s2bm_ard_3-2-1_51JYH_2021-06-18_final
2021-07-13 10:24:59	ga_s2bm_ard_3-2-1_53JQJ_2021-07-13_final
2021-08-07 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-08-07_final
2021-09-20 10:50:45	ga_s2bm_ard_3-2-1_53LLG_2021-09-20_final
2021-10-03 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-10-03_final
2021-10-22 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-10-22_final
2022-02-01 10:34:38	ga_s2bm_ard_3-2-1_54JTQ_2022-02-01_final
2022-02-22 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-02-22_final
2022-03-06 10:40:34	ga_s2bm_ard_3-2-1_53LQG_2022-03-06_final.stac-item
2022-04-09 10:20:42	ga_s2bm_ard_3-2-1_54LWL_2022-04-09_final
2022-05-30 09:55:57	ga_s2bm_ard_3-2-1_54HYK_2022-05-30_final
2022-06-12 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2022-06-12_final
2022-08-07 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2022-08-07_final
2022-09-24 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2022-09-24_final.stac-item
2022-11-27 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2022-11-27_final.stac-item
2023-01-12 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2023-01-12_final.stac-item
2023-03-13 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-03-13_final.stac-item
2023-05-28 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-05-28_final.stac-item
2023-05-30 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2023-05-30_final.stac-item
2023-06-06 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2023-06-06_final.stac-item
2023-06-06 10:36:00	ga_s2bm_ard_3-2-1_53JMF_2023-06-06_final.stac-item
2023-06-13 10:24:09	ga_s2bm_ard_3-2-1_54JTT_2023-06-13_final.stac-item
2023-07-10 10:16:57	ga_s2bm_ard_3-2-1_54HWF_2023-07-10_final.stac-item
2023-09-05 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-09-05_final.stac-item
2023-10-06 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2023-10-06_final.stac-item
2023-10-12 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-10-12_final.stac-item
2023-10-29 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-10-29_final.stac-item
2023-11-12 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2023-11-12_final.stac-item
2023-11-13 10:31:58	ga_s2bm_ard_3-2-1_54KVF_2023-11-13_final.stac-item
2023-11-25 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2023-11-25_final.stac-item
2023-12-11 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2023-12-11_final.stac-item
2023-12-12 11:02:49	ga_s2bm_ard_3-2-1_52KED_2023-12-12_final.stac-item
2024-01-07 11:21:46	ga_s2bm_ard_3-2-1_52LDH_2024-01-07_final.stac-item
2024-02-10 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2024-02-10_final.stac-item
2024-03-12 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2024-03-12_final.stac-item
2024-03-17 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-03-17_final.stac-item
2024-04-29 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2024-04-29_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