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
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JPN_2017-11-27_final
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JTQ_2017-12-01_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54HVH_2017-12-08_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KQC_2017-12-25_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_54HXC_2018-01-01_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_54KTF_2018-01-06_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KWA_2018-01-14_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKV_2018-01-29_final
2018-01-30 10:16:59	ga_s2bm_ard_3-2-1_54LYK_2018-01-30_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52KEG_2018-02-24_final
2018-02-26 10:11:23	ga_s2bm_ard_3-2-1_54KZF_2018-02-26_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHC_2018-03-10_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53KPP_2018-03-24_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54LXM_2018-04-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-26_final
2018-08-06 09:46:25	ga_s2bm_ard_3-2-1_54GYA_2018-08-06_final
2018-11-10 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-11-10_final
2018-11-19 10:36:18	ga_s2bm_ard_3-2-1_53HND_2018-11-19_final
2018-12-17 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2018-12-17_final
2019-01-10 11:16:43	ga_s2bm_ard_3-2-1_51HYD_2019-01-10_final
2019-01-25 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2019-01-25_final
2019-02-07 10:31:50	ga_s2bm_ard_3-2-1_53KRB_2019-02-07_final
2019-04-07 11:01:30	ga_s2bm_ard_3-2-1_53LKD_2019-04-07_final
2019-04-25 10:25:18	ga_s2bm_ard_3-2-1_54JVN_2019-04-25_final
2019-09-23 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-09-23_final
2019-09-24 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2019-09-24_final
2019-09-27 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2019-09-27_final
2019-10-16 10:07:09	ga_s2bm_ard_3-2-1_54HXE_2019-10-16_final
2019-10-24 11:01:47	ga_s2bm_ard_3-2-1_52LGH_2019-10-24_final
2019-11-14 10:30:25	ga_s2bm_ard_3-2-1_54LWM_2019-11-14_final
2020-01-05 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2020-01-05_final
2020-02-10 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2020-02-10_final
2020-02-29 10:21:48	ga_s2bm_ard_3-2-1_54KYF_2020-02-29_final
2020-03-04 10:04:41	ga_s2bm_ard_3-2-1_54JXQ_2020-03-04_final
2020-03-21 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2020-03-21_final
2020-03-23 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2020-03-23_final
2020-04-26 10:15:45	ga_s2bm_ard_3-2-1_54HXK_2020-04-26_final
2020-04-30 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-04-30_final
2020-05-20 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2020-05-20_final
2020-07-04 10:43:50	ga_s2bm_ard_3-2-1_53KPP_2020-07-04_final
2020-07-18 10:27:02	ga_s2bm_ard_3-2-1_53HQA_2020-07-18_final
2020-10-06 10:24:51	ga_s2bm_ard_3-2-1_53JQK_2020-10-06_final
2020-11-07 11:02:20	ga_s2bm_ard_3-2-1_52KFF_2020-11-07_final
2020-11-22 10:15:30	ga_s2bm_ard_3-2-1_54JVM_2020-11-22_final
2020-11-30 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2020-11-30_final
2020-12-10 11:12:50	ga_s2bm_ard_3-2-1_52KCD_2020-12-10_final
2020-12-20 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2020-12-20_final
2021-01-11 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2021-01-11_final
2021-01-24 10:20:31	ga_s2bm_ard_3-2-1_54LWM_2021-01-24_final
2021-02-01 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2021-02-01_final
2021-02-03 10:20:13	ga_s2bm_ard_3-2-1_54LXN_2021-02-03_final
2021-02-14 09:57:35	ga_s2bm_ard_3-2-1_54HYC_2021-02-14_final
2021-03-20 11:12:53	ga_s2bm_ard_3-2-1_52KFC_2021-03-20_final
2021-03-28 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2021-03-28_final
2021-04-04 10:24:19	ga_s2bm_ard_3-2-1_54JWR_2021-04-04_final
2021-04-21 10:11:07	ga_s2bm_ard_3-2-1_54LYJ_2021-04-21_final
2021-05-05 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2021-05-05_final
2021-06-10 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2021-06-10_final
2021-07-14 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-07-14_final
2021-10-30 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-10-30_final
2021-11-18 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2021-11-18_final
2022-02-01 10:36:11	ga_s2bm_ard_3-2-1_53HPD_2022-02-01_final
2022-02-22 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2022-02-22_final
2022-09-07 09:55:59	ga_s2bm_ard_3-2-1_54HYK_2022-09-07_final.stac-item
2022-10-12 10:41:42	ga_s2bm_ard_3-2-1_54KTG_2022-10-12_final.stac-item
2022-10-19 10:35:26	ga_s2bm_ard_3-2-1_53JMH_2022-10-19_final.stac-item
2022-10-23 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-10-23_final.stac-item
2022-11-12 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-11-12_final.stac-item
2022-11-28 10:32:21	ga_s2bm_ard_3-2-1_53KQV_2022-11-28_final.stac-item
2022-11-28 10:32:43	ga_s2bm_ard_3-2-1_54KUC_2022-11-28_final.stac-item
2022-12-23 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2022-12-23_final.stac-item
2023-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2023-01-02_final.stac-item
2023-02-02 10:51:51	ga_s2bm_ard_3-2-1_53KMB_2023-02-02_final.stac-item
2023-02-28 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2023-02-28_final.stac-item
2023-03-01 10:43:02	ga_s2bm_ard_3-2-1_53KQS_2023-03-01_final.stac-item
2023-03-05 10:22:04	ga_s2bm_ard_3-2-1_54KVF_2023-03-05_final.stac-item
2023-03-16 09:57:44	ga_s2bm_ard_3-2-1_54HXC_2023-03-16_final.stac-item
2023-03-28 10:34:32	ga_s2bm_ard_3-2-1_54JTR_2023-03-28_final.stac-item
2023-03-28 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-03-28_final.stac-item
2023-03-31 10:45:40	ga_s2bm_ard_3-2-1_53JMG_2023-03-31_final.stac-item
2023-04-06 11:00:32	ga_s2bm_ard_3-2-1_53LKH_2023-04-06_final.stac-item
2023-05-07 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2023-05-07_final.stac-item
2023-05-12 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2023-05-12_final.stac-item
2023-05-17 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2023-05-17_final.stac-item
2023-06-27 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-06-27_final.stac-item
2023-06-27 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-27_final.stac-item
2023-07-15 11:04:52	ga_s2bm_ard_3-2-1_52JER_2023-07-15_final.stac-item
2023-07-15 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2023-07-15_final.stac-item
2023-09-01 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2023-09-01_final.stac-item
2023-09-14 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-09-14_final.stac-item
2023-09-24 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-09-24_final.stac-item
2023-11-11 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-11-11_final.stac-item
2023-12-13 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2023-12-13_final.stac-item
2024-01-22 10:32:03	ga_s2bm_ard_3-2-1_54KTF_2024-01-22_final.stac-item
2024-02-14 10:42:22	ga_s2bm_ard_3-2-1_53KPV_2024-02-14_final.stac-item
2024-02-29 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2024-02-29_final.stac-item
2024-03-11 11:00:50	ga_s2bm_ard_3-2-1_53LLF_2024-03-11_final.stac-item
2024-03-12 10:31:39	ga_s2bm_ard_3-2-1_54KVG_2024-03-12_final.stac-item
2024-03-22 10:33:16	ga_s2bm_ard_3-2-1_54KTA_2024-03-22_final.stac-item
2024-04-14 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2024-04-14_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