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
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_52JBS_2017-09-10_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_52JGL_2017-12-07_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFA_2018-01-02_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JCM_2018-01-12_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51LZD_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KYA_2018-01-31_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KYT_2018-03-12_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZU_2018-03-29_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HUE_2018-04-28_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HWD_2018-05-25_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JBQ_2018-05-25_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KYT_2018-06-10_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNP_2018-07-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKM_2018-07-09_final
2018-07-28 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2018-07-28_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KDV_2018-08-03_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JPS_2018-08-15_final
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KXA_2018-08-19_final
2018-11-14 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2018-11-14_final
2018-11-23 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2018-11-23_final
2019-01-06 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2019-01-06_final
2019-01-20 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2019-01-20_final
2019-04-06 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2019-04-06_final
2019-04-12 11:53:36	ga_s2bm_ard_3-2-1_50KQB_2019-04-12_final
2019-04-26 11:32:07	ga_s2bm_ard_3-2-1_51LWC_2019-04-26_final
2019-05-17 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-05-17_final
2019-07-06 11:05:35	ga_s2bm_ard_3-2-1_52JFN_2019-07-06_final
2019-12-06 11:14:54	ga_s2bm_ard_3-2-1_52JDQ_2019-12-06_final
2019-12-16 11:15:48	ga_s2bm_ard_3-2-1_51JYG_2019-12-16_final
2020-01-11 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2020-01-11_final
2020-01-11 11:35:13	ga_s2bm_ard_3-2-1_51JTK_2020-01-11_final
2020-02-24 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2020-02-24_final
2020-02-26 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2020-02-26_final
2020-03-25 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-03-25_final
2020-03-27 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-03-27_final
2020-06-19 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2020-06-19_final
2020-06-26 11:26:03	ga_s2bm_ard_3-2-1_51JVG_2020-06-26_final
2020-08-11 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2020-08-11_final
2020-09-04 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2020-09-04_final
2020-09-09 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2020-09-09_final
2020-09-26 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-26_final
2020-11-10 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2020-11-10_final
2020-11-10 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-11-10_final
2020-12-10 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2020-12-10_final
2020-12-13 11:23:13	ga_s2bm_ard_3-2-1_52KCB_2020-12-13_final
2020-12-20 11:11:59	ga_s2bm_ard_3-2-1_52KEG_2020-12-20_final
2020-12-27 11:05:42	ga_s2bm_ard_3-2-1_52JEM_2020-12-27_final
2021-01-22 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2021-01-22_final
2021-02-01 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2021-02-01_final
2021-02-03 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2021-02-03_final
2021-02-08 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2021-02-08_final
2021-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-02-10_final
2021-02-11 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-02-11_final
2021-02-14 11:32:06	ga_s2bm_ard_3-2-1_51KYB_2021-02-14_final
2021-05-04 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2021-05-04_final
2021-05-15 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2021-05-15_final
2021-06-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-06_final
2021-06-10 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-10_final
2021-06-14 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-06-14_final
2021-07-17 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-17_final
2021-10-02 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2021-10-02_final
2021-11-21 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2021-11-21_final
2022-01-17 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-01-17_final
2022-01-28 10:55:58	ga_s2bm_ard_3-2-1_52JEL_2022-01-28_final
2022-02-09 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2022-02-09_final
2022-03-08 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-03-08_final
2022-04-13 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-05-17 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-05-17_final
2022-05-24 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2022-05-24_final
2022-05-29 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-05-29_final
2022-07-06 11:26:31	ga_s2bm_ard_3-2-1_51HWE_2022-07-06_final
2022-09-19 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-19_final.stac-item
2022-09-25 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2022-09-25_final.stac-item
2022-10-01 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2022-10-01_final.stac-item
2022-10-27 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-10-27_final.stac-item
2022-11-23 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2022-11-23_final.stac-item
2022-11-28 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2022-11-28_final.stac-item
2022-12-05 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-12-05_final.stac-item
2022-12-06 11:36:11	ga_s2bm_ard_3-2-1_51JUF_2022-12-06_final.stac-item
2022-12-17 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2022-12-17_final.stac-item
2022-12-20 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2022-12-20_final.stac-item
2023-01-02 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2023-01-02_final.stac-item
2023-01-09 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-09_final.stac-item
2023-01-16 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2023-01-16_final.stac-item
2023-02-28 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2023-02-28_final.stac-item
2023-03-05 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2023-03-05_final.stac-item
2023-04-12 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-04-12_final.stac-item
2023-06-01 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-06-01_final.stac-item
2023-07-01 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-07-01_final.stac-item
2023-08-17 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-08-17_final.stac-item
2023-08-21 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2023-08-21_final.stac-item
2023-09-04 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-09-04_final.stac-item
2023-09-08 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-09-08_final.stac-item
2023-11-11 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-11-11_nrt.stac-item
2023-12-27 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-12-27_nrt.stac-item
2024-02-26 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2024-02-26_final.stac-item
2024-03-10 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2024-03-10_final.stac-item
2024-05-13 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2024-05-13_final.stac-item
2024-05-22 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2024-05-22_nrt.stac-item
2024-05-23 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2024-05-23_nrt.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