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
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53JNM_2017-08-16_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JTM_2017-12-05_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KEV_2018-02-01_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_51HTC_2018-02-10_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52JFP_2018-02-11_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KDV_2018-02-14_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGK_2018-02-24_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KGA_2018-03-10_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLL_2018-06-06_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JGN_2018-06-08_final.stac-item
2018-07-12 10:35:45	ga_s2bm_ard_3-2-1_53HPC_2018-07-12_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HUC_2018-08-06_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HMH_2018-08-22_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRM_2018-08-31_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KRC_2018-09-04_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JNR_2018-09-11_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKM_2018-09-27_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53HME_2018-10-03_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQH_2018-10-18_final
2018-11-06 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2018-11-06_final
2018-12-23 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2018-12-23_final
2019-01-06 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2019-01-06_final
2019-01-26 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2019-01-26_final
2019-02-03 10:53:42	ga_s2bm_ard_3-2-1_53KMQ_2019-02-03_final
2019-03-06 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-03-06_final
2019-03-11 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2019-03-11_final
2019-03-25 10:53:22	ga_s2bm_ard_3-2-1_53KMR_2019-03-25_final
2019-04-21 10:42:50	ga_s2bm_ard_3-2-1_53KMU_2019-04-21_final
2019-05-25 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-05-25_final
2019-06-08 11:44:24	ga_s2bm_ard_3-2-1_50KRU_2019-06-08_final
2019-10-13 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2019-10-13_final
2019-10-21 10:54:39	ga_s2bm_ard_3-2-1_53JLL_2019-10-21_final
2019-10-27 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2019-10-27_final
2020-01-17 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2020-01-17_final
2020-01-20 10:26:23	ga_s2bm_ard_3-2-1_53HPC_2020-01-20_final
2020-02-17 11:24:36	ga_s2bm_ard_3-2-1_51JXM_2020-02-17_final
2020-04-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-04-17_final
2020-04-30 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2020-04-30_final
2020-05-02 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2020-05-02_final
2020-05-27 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2020-05-27_final
2020-08-04 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-08-04_final
2020-08-20 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2020-08-20_final
2020-09-03 10:17:08	ga_s2bm_ard_3-2-1_53HQA_2020-09-03_final
2020-09-10 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2020-09-10_final
2020-11-07 11:02:28	ga_s2bm_ard_3-2-1_52KHE_2020-11-07_final
2020-11-28 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2020-11-28_final
2020-12-20 11:13:58	ga_s2bm_ard_3-2-1_52KDU_2020-12-20_final
2021-01-26 11:02:10	ga_s2bm_ard_3-2-1_53KKA_2021-01-26_final
2021-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-02-11_final
2021-02-17 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-02-17_final
2021-02-19 10:42:04	ga_s2bm_ard_3-2-1_53KPA_2021-02-19_final
2021-02-20 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2021-02-20_final
2021-05-05 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2021-05-05_final
2021-06-04 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-06-04_final
2021-06-16 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2021-06-16_final
2021-12-06 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2021-12-06_final
2021-12-21 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2021-12-21_final
2021-12-25 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2021-12-25_final
2021-12-30 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2021-12-30_final
2021-12-31 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-12-31_final
2022-01-18 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2022-01-18_final
2022-05-19 10:24:57	ga_s2bm_ard_3-2-1_53JQK_2022-05-19_final
2022-06-30 11:05:10	ga_s2bm_ard_3-2-1_52JDQ_2022-06-30_final
2022-07-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-19_final
2022-09-15 10:53:34	ga_s2bm_ard_3-2-1_52KGA_2022-09-15_final.stac-item
2022-09-28 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2022-09-28_final.stac-item
2022-09-30 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2022-09-30_final.stac-item
2022-10-01 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2022-10-01_final.stac-item
2022-10-04 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2022-10-04_final.stac-item
2022-10-28 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-10-28_final.stac-item
2022-10-28 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2022-10-28_final.stac-item
2022-10-31 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2022-10-31_final.stac-item
2022-11-06 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2022-11-06_final.stac-item
2022-11-17 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2022-11-17_final.stac-item
2023-01-25 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2023-01-25_final.stac-item
2023-01-29 11:11:42	ga_s2bm_ard_3-2-1_52LFH_2023-01-29_final.stac-item
2023-02-01 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2023-02-01_final.stac-item
2023-02-18 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2023-02-18_final.stac-item
2023-02-22 10:53:10	ga_s2bm_ard_3-2-1_53KLS_2023-02-22_final.stac-item
2023-02-23 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2023-02-23_final.stac-item
2023-03-04 10:52:43	ga_s2bm_ard_3-2-1_53KLU_2023-03-04_final.stac-item
2023-03-12 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2023-03-12_final.stac-item
2023-03-28 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2023-03-28_final.stac-item
2023-03-29 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2023-03-29_final.stac-item
2023-03-30 11:15:15	ga_s2bm_ard_3-2-1_52JDP_2023-03-30_final.stac-item
2023-04-12 11:21:51	ga_s2bm_ard_3-2-1_52LCH_2023-04-12_final.stac-item
2023-04-28 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2023-04-28_final.stac-item
2023-06-20 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2023-06-20_final.stac-item
2023-06-28 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-06-28_final.stac-item
2023-07-03 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-07-03_final.stac-item
2023-08-19 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-08-19_nrt.stac-item
2023-10-22 11:31:08	ga_s2bm_ard_3-2-1_51LZF_2023-10-22_nrt.stac-item
2023-11-03 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2023-11-03_final.stac-item
2023-11-25 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2023-11-25_final.stac-item
2024-01-21 11:02:51	ga_s2bm_ard_3-2-1_52KED_2024-01-21_final.stac-item
2024-02-17 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2024-02-17_final.stac-item
2024-03-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2024-03-10_final.stac-item
2024-03-14 11:16:32	ga_s2bm_ard_3-2-1_52HBJ_2024-03-14_nrt.stac-item
2024-03-21 11:03:42	ga_s2bm_ard_3-2-1_52KGV_2024-03-21_final.stac-item
2024-04-18 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-04-18_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