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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBN_2017-08-28_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQJ_2017-09-23_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_51KZP_2017-09-27_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JWG_2017-11-09_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JCL_2017-11-13_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNG_2017-11-15_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-11-21_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51LZE_2018-02-17_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KXP_2018-03-02_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HXD_2018-03-26_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUD_2018-04-08_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49JGN_2018-05-30_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HPJ_2018-10-08_final
2018-11-07 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2018-11-07_final
2018-12-17 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2018-12-17_final
2018-12-24 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2018-12-24_final
2019-01-02 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-01-02_final
2019-01-26 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-01-26_final
2019-01-27 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-01-27_final
2019-04-12 11:54:38	ga_s2bm_ard_3-2-1_50JPT_2019-04-12_final
2019-04-13 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2019-04-13_final
2019-04-19 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-04-19_final
2019-06-08 11:45:11	ga_s2bm_ard_3-2-1_50JQR_2019-06-08_final
2019-06-08 11:46:08	ga_s2bm_ard_3-2-1_50JQM_2019-06-08_final
2019-06-09 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-06-09_final
2019-09-03 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-09-03_final
2019-11-12 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2019-11-12_final
2019-12-22 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2019-12-22_final
2020-01-05 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2020-01-05_final
2020-01-08 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2020-01-08_final
2020-03-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-13_final
2020-03-14 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2020-03-14_final
2020-04-07 11:24:19	ga_s2bm_ard_3-2-1_51JYN_2020-04-07_final
2020-04-20 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2020-04-20_final
2020-04-20 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2020-04-20_final
2020-06-12 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-06-12_final
2020-06-18 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-06-18_final
2020-07-19 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-07-19_final
2020-08-12 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2020-08-12_final
2020-09-01 11:16:09	ga_s2bm_ard_3-2-1_52JBL_2020-09-01_final
2020-09-17 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-09-17_final
2020-09-26 12:03:41	ga_s2bm_ard_3-2-1_50KNB_2020-09-26_final
2020-11-02 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-11-02_final
2020-11-09 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-11-09_final
2020-11-29 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2020-11-29_final
2020-12-06 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2020-12-06_final
2020-12-09 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final
2020-12-10 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2020-12-10_final
2020-12-29 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2020-12-29_final
2021-02-11 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-02-11_final
2021-03-20 11:14:30	ga_s2bm_ard_3-2-1_52JDS_2021-03-20_final
2021-05-03 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2021-05-03_final
2021-06-03 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-06-03_final
2021-06-17 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2021-06-17_final
2021-06-19 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2021-06-19_final
2021-06-28 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2021-06-28_final
2021-07-17 11:45:52	ga_s2bm_ard_3-2-1_50JPN_2021-07-17_final
2021-09-08 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-09-08_final
2021-10-01 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-10-01_final
2021-10-05 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-10-05_final
2021-10-06 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2021-10-06_final
2022-01-20 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2022-01-20_final
2022-01-31 11:04:56	ga_s2bm_ard_3-2-1_52JEQ_2022-01-31_final
2022-02-16 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2022-02-16_final
2022-03-04 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2022-03-04_final
2022-03-09 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2022-03-09_final
2022-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-04-09_final
2022-04-18 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2022-04-18_final
2022-05-12 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-05-12_final
2022-05-17 11:23:53	ga_s2bm_ard_3-2-1_51KYQ_2022-05-17_final
2022-05-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-05-29_final
2022-05-30 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-05-30_final
2022-06-05 11:54:19	ga_s2bm_ard_3-2-1_50KPU_2022-06-05_final
2022-08-26 10:55:24	ga_s2bm_ard_3-2-1_52JFN_2022-08-26_final
2022-09-03 13:31:40	ga_s2bm_ard_3-2-1_47LKG_2022-09-03_interim.stac-item
2022-09-04 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2022-09-04_final.stac-item
2022-10-04 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2022-10-04_final.stac-item
2022-10-29 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-10-29_final.stac-item
2022-11-23 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2022-11-23_final.stac-item
2022-12-14 10:54:42	ga_s2bm_ard_3-2-1_52JGR_2022-12-14_final.stac-item
2022-12-23 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2022-12-23_nrt.stac-item
2023-01-15 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-01-15_final.stac-item
2023-02-11 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2023-02-11_final.stac-item
2023-02-27 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2023-02-27_final.stac-item
2023-03-25 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-03-25_final.stac-item
2023-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-26_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-04-09 11:14:25	ga_s2bm_ard_3-2-1_52JBT_2023-04-09_final.stac-item
2023-04-14 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-04-14_final.stac-item
2023-04-25 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-04-25_final.stac-item
2023-05-01 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2023-05-01_final.stac-item
2023-05-02 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-05-02_final.stac-item
2023-06-20 11:54:30	ga_s2bm_ard_3-2-1_50KMU_2023-06-20_final.stac-item
2023-09-12 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-12_final.stac-item
2023-12-31 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2023-12-31_final.stac-item
2023-12-31 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2023-12-31_final.stac-item
2024-02-18 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2024-02-18_final.stac-item
2024-02-25 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2024-02-25_final.stac-item
2024-03-07 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2024-03-07_final.stac-item
2024-04-30 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2024-04-30_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