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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-05_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXU_2017-07-25_final
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51JYK_2017-08-21_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51KZQ_2017-09-17_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMJ_2017-10-26_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-05_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JDL_2017-12-13_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWB_2018-01-11_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52HBK_2018-01-25_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTM_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUH_2018-01-31_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KXR_2018-02-10_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HMH_2018-03-25_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKM_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HTD_2018-04-01_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWA_2018-06-10_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52JBR_2018-06-17_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KYT_2018-07-10_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPM_2018-10-01_final
2018-12-27 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2018-12-27_final
2019-01-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-01-02_final
2019-01-15 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2019-01-15_final
2019-01-26 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2019-01-26_final
2019-05-10 11:15:20	ga_s2bm_ard_3-2-1_52JDP_2019-05-10_final
2019-05-16 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-16_final
2019-05-26 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-05-26_final
2019-06-27 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-05 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-07-05_final
2019-07-25 11:33:47	ga_s2bm_ard_3-2-1_51KXR_2019-07-25_final
2019-07-25 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-07-25_final
2019-07-29 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-07-29_final
2019-10-13 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-10-13_final
2019-10-16 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-16_final
2019-12-28 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2019-12-28_final
2019-12-29 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2019-12-29_final
2020-01-21 11:31:29	ga_s2bm_ard_3-2-1_51LZD_2020-01-21_final
2020-02-03 11:42:56	ga_s2bm_ard_3-2-1_51KTU_2020-02-03_final
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final
2020-04-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2020-04-10_final
2020-06-09 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2020-06-09_final
2020-07-13 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2020-07-13_final
2020-08-02 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2020-08-02_final
2020-09-01 11:15:28	ga_s2bm_ard_3-2-1_51JYJ_2020-09-01_final
2020-12-07 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2020-12-07_final
2020-12-19 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-12-19_final
2021-01-05 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-01-05_final
2021-02-01 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2021-02-01_final
2021-02-04 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-02-04_final
2021-02-07 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-02-07_final
2021-02-11 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2021-02-11_final
2021-03-07 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2021-03-07_final
2021-03-13 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-03-13_final
2021-03-16 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2021-03-16_final
2021-06-13 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-13_final
2021-08-10 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-08-10_final
2021-08-26 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-09-01 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-01_final
2021-09-13 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2021-09-13_final
2021-10-23 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2021-10-23_final
2021-10-28 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-10-28_final
2021-11-18 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2021-11-18_final
2021-12-11 11:35:50	ga_s2bm_ard_3-2-1_51JVG_2021-12-11_final
2021-12-21 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2021-12-21_final
2021-12-24 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-24_final
2022-01-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2022-01-07_final
2022-01-17 11:23:49	ga_s2bm_ard_3-2-1_51KYQ_2022-01-17_final
2022-01-17 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-01-17_final
2022-01-30 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-01-30_final
2022-01-31 11:04:30	ga_s2bm_ard_3-2-1_52JDS_2022-01-31_final
2022-02-18 12:03:31	ga_s2bm_ard_3-2-1_50KMB_2022-02-18_final
2022-03-21 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-03-21_final
2022-04-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2022-04-03_final
2022-05-30 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-05-30_final
2022-05-30 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-05-30_final
2022-07-22 11:44:43	ga_s2bm_ard_3-2-1_50JPT_2022-07-22_final
2022-09-30 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-09-30_final.stac-item
2022-10-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2022-10-10_final.stac-item
2022-10-18 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-10-18_final.stac-item
2022-11-09 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-11-09_final.stac-item
2022-11-19 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2022-11-19_final.stac-item
2022-11-23 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-11-23_final.stac-item
2022-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2022-12-26_final.stac-item
2023-03-06 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-03-06_final.stac-item
2023-03-06 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-03-06_final.stac-item
2023-03-10 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-03-10_final.stac-item
2023-04-19 11:16:22	ga_s2bm_ard_3-2-1_52HBK_2023-04-19_final.stac-item
2023-06-01 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-01_final.stac-item
2023-06-20 11:56:26	ga_s2bm_ard_3-2-1_50JML_2023-06-20_final.stac-item
2023-09-26 11:16:38	ga_s2bm_ard_3-2-1_52HBJ_2023-09-26_nrt.stac-item
2023-11-28 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2023-11-28_final.stac-item
2024-02-06 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2024-02-06_nrt.stac-item
2024-02-16 11:21:17	ga_s2bm_ard_3-2-1_51LZF_2024-02-16_nrt.stac-item
2024-02-19 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2024-02-19_final.stac-item
2024-03-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2024-03-03_final.stac-item
2024-03-07 11:23:44	ga_s2bm_ard_3-2-1_51KZQ_2024-03-07_final.stac-item
2024-03-11 11:06:29	ga_s2bm_ard_3-2-1_52HBJ_2024-03-11_nrt.stac-item
2024-03-13 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2024-03-13_final.stac-item
2024-03-20 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-03-20_final.stac-item
2024-04-25 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2024-04-25_final.stac-item
2024-05-06 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2024-05-06_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