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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXQ_2017-07-25_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52KEA_2017-08-28_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_52KCD_2017-09-10_final
2017-10-04 10:57:00	ga_s2bm_ard_3-2-1_52KFD_2017-10-04_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51HWD_2017-11-06_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-14_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LWG_2017-11-15_final.stac-item
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53HPA_2018-01-03_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JXH_2018-01-15_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVJ_2018-01-31_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXH_2018-02-07_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52JFP_2018-02-11_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50KRD_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JUM_2018-03-05_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JEP_2018-05-02_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-05-14_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KVQ_2018-07-20_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-09-28_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-10-27_final
2018-11-29 10:36:06	ga_s2bm_ard_3-2-1_53HME_2018-11-29_final
2019-01-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2019-01-23_final
2019-04-02 11:55:41	ga_s2bm_ard_3-2-1_50JMP_2019-04-02_final
2019-04-09 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2019-04-09_final
2019-04-14 10:55:51	ga_s2bm_ard_3-2-1_52JFM_2019-04-14_final
2019-04-30 11:12:46	ga_s2bm_ard_3-2-1_52KCE_2019-04-30_final
2019-05-30 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-05-30_final
2019-07-08 11:43:52	ga_s2bm_ard_3-2-1_51KUR_2019-07-08_final
2019-08-06 10:34:33	ga_s2bm_ard_3-2-1_53JNM_2019-08-06_final
2019-08-23 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2019-08-23_final
2019-09-07 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2019-09-07_final
2019-09-15 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2019-09-15_final
2019-11-06 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2019-11-06_final
2019-12-19 11:23:05	ga_s2bm_ard_3-2-1_51KYT_2019-12-19_final
2020-03-18 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2020-03-18_final
2020-04-07 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-04-07_final
2020-04-22 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2020-04-22_final
2020-05-20 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2020-05-20_final
2020-06-21 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2020-06-21_final
2020-06-23 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2020-06-23_final
2020-07-03 11:10:27	ga_s2bm_ard_3-2-1_52LHN_2020-07-03_final
2020-07-06 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2020-07-06_final
2020-08-15 11:23:06	ga_s2bm_ard_3-2-1_52KCC_2020-08-15_final
2020-10-01 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-10-01_final
2020-11-18 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2020-11-18_final
2020-11-20 11:12:47	ga_s2bm_ard_3-2-1_52KED_2020-11-20_final
2020-11-26 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2020-11-26_final
2021-02-27 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-02-27_final
2021-03-14 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2021-03-14_final
2021-03-15 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2021-03-15_final
2021-05-25 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2021-05-25_final
2021-06-02 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-06-02_final
2021-07-01 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-07-01_final
2021-07-03 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2021-07-03_final
2021-07-23 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-07-23_final
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final
2021-08-23 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-08-23_final
2021-09-13 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2021-09-13_final
2021-10-10 10:54:42	ga_s2bm_ard_3-2-1_53JKL_2021-10-10_final
2021-10-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-10-11_final
2021-11-17 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-11-17_final
2021-12-12 11:03:14	ga_s2bm_ard_3-2-1_52KEB_2021-12-12_final
2022-01-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-03_final
2022-01-22 10:34:44	ga_s2bm_ard_3-2-1_53JNK_2022-01-22_final
2022-03-25 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2022-03-25_final
2022-04-02 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2022-04-02_final
2022-04-25 10:45:31	ga_s2bm_ard_3-2-1_53JMG_2022-04-25_final
2022-05-20 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2022-05-20_final
2022-06-10 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2022-06-10_final
2022-07-07 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2022-07-07_final
2022-07-31 10:36:01	ga_s2bm_ard_3-2-1_53HQE_2022-07-31_final
2022-10-29 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-29_final.stac-item
2022-11-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-11-05_final.stac-item
2022-11-12 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-11-12_interim.stac-item
2022-11-21 10:44:27	ga_s2bm_ard_3-2-1_53JLM_2022-11-21_final.stac-item
2022-12-20 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2022-12-20_final.stac-item
2022-12-23 11:23:26	ga_s2bm_ard_3-2-1_52KBA_2022-12-23_final.stac-item
2022-12-29 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2022-12-29_final.stac-item
2023-01-08 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-01-08_final.stac-item
2023-01-29 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-29_final.stac-item
2023-02-01 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2023-02-01_final.stac-item
2023-02-07 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2023-02-07_final.stac-item
2023-02-18 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2023-02-18_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2023-05-04_final.stac-item
2023-05-22 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2023-05-22_final.stac-item
2023-06-19 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2023-06-19_final.stac-item
2023-06-20 11:54:12	ga_s2bm_ard_3-2-1_50KNV_2023-06-20_final.stac-item
2023-07-07 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-07_final.stac-item
2023-07-21 11:21:44	ga_s2bm_ard_3-2-1_52LBJ_2023-07-21_final.stac-item
2023-08-17 11:10:49	ga_s2bm_ard_3-2-1_52LGM_2023-08-17_final.stac-item
2023-08-18 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2023-08-18_final.stac-item
2023-09-29 11:22:29	ga_s2bm_ard_3-2-1_51KYA_2023-09-29_final.stac-item
2023-10-04 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2023-10-04_final.stac-item
2023-10-12 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2023-10-12_final.stac-item
2023-11-05 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2023-11-05_final.stac-item
2024-01-09 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2024-01-09_final.stac-item
2024-01-10 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2024-01-10_final.stac-item
2024-01-27 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2024-01-27_final.stac-item
2024-02-21 10:36:22	ga_s2bm_ard_3-2-1_53HND_2024-02-21_final.stac-item
2024-04-29 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2024-04-29_final.stac-item
2024-05-14 10:46:09	ga_s2bm_ard_3-2-1_53HLE_2024-05-14_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