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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2017-08-13_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53KPP_2017-09-25_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JVL_2017-11-12_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JDT_2017-12-13_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_53HPD_2018-01-10_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JQF_2018-01-23_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_54HYC_2018-01-31_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53LPG_2018-06-08_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51HVD_2018-06-27_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JPG_2018-08-31_final
2018-12-20 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2018-12-20_final
2019-01-31 10:43:01	ga_s2bm_ard_3-2-1_53KQS_2019-01-31_final
2019-02-10 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2019-02-10_final
2019-08-14 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2019-08-14_final
2019-08-16 10:33:55	ga_s2bm_ard_3-2-1_53KQP_2019-08-16_final
2019-09-16 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2019-09-16_final
2019-11-01 10:26:31	ga_s2bm_ard_3-2-1_54HTH_2019-11-01_final
2019-11-29 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2019-11-29_final
2019-12-16 11:13:31	ga_s2bm_ard_3-2-1_52KCA_2019-12-16_final
2020-01-03 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2020-01-03_final
2020-01-08 11:21:48	ga_s2bm_ard_3-2-1_51LYC_2020-01-08_final
2020-01-15 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2020-01-15_final
2020-01-17 10:16:28	ga_s2bm_ard_3-2-1_54HTH_2020-01-17_final
2020-02-07 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2020-02-07_final
2020-02-10 09:56:34	ga_s2bm_ard_3-2-1_54HYG_2020-02-10_final
2020-03-02 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2020-03-02_final
2020-03-03 10:35:24	ga_s2bm_ard_3-2-1_53JMH_2020-03-03_final
2020-03-27 10:16:32	ga_s2bm_ard_3-2-1_54HTH_2020-03-27_final
2020-04-04 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2020-04-04_final
2020-07-11 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2020-07-11_final
2020-08-11 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2020-08-11_final
2020-10-07 09:56:57	ga_s2bm_ard_3-2-1_54HYF_2020-10-07_final
2020-10-10 10:07:40	ga_s2bm_ard_3-2-1_54HXC_2020-10-10_final
2020-10-23 10:16:42	ga_s2bm_ard_3-2-1_54HWG_2020-10-23_final
2020-10-30 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2020-10-30_final
2020-11-03 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2020-11-03_final
2020-11-06 09:57:28	ga_s2bm_ard_3-2-1_54HXD_2020-11-06_final
2020-11-16 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2020-11-16_final
2020-12-04 10:51:09	ga_s2bm_ard_3-2-1_53LME_2020-12-04_final
2021-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-01-02_final
2021-01-09 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2021-01-09_final
2021-01-10 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2021-01-10_final
2021-01-13 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2021-01-13_final
2021-02-13 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-02-13_final
2021-04-11 10:16:39	ga_s2bm_ard_3-2-1_54HVG_2021-04-11_final
2021-04-13 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2021-04-13_final
2021-05-02 09:47:51	ga_s2bm_ard_3-2-1_54HYB_2021-05-02_final
2021-05-14 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-05-14_final
2021-05-17 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2021-05-17_final
2021-06-17 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-06-17_final
2021-06-25 11:05:02	ga_s2bm_ard_3-2-1_52JEQ_2021-06-25_final
2021-07-16 10:33:51	ga_s2bm_ard_3-2-1_53KQP_2021-07-16_final
2021-09-17 10:43:59	ga_s2bm_ard_3-2-1_53JPN_2021-09-17_final
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final
2021-11-03 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2021-11-03_final
2021-11-09 10:52:56	ga_s2bm_ard_3-2-1_53KLT_2021-11-09_final
2021-11-26 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2021-11-26_final
2022-01-27 11:23:27	ga_s2bm_ard_3-2-1_51KYR_2022-01-27_final
2022-02-11 10:34:16	ga_s2bm_ard_3-2-1_53JPM_2022-02-11_final
2022-03-27 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2022-03-27_final
2022-03-28 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2022-03-28_final
2022-04-04 11:15:54	ga_s2bm_ard_3-2-1_51JXG_2022-04-04_final
2022-05-18 10:54:58	ga_s2bm_ard_3-2-1_52JGQ_2022-05-18_final
2022-06-16 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2022-06-16_final
2022-06-30 11:02:31	ga_s2bm_ard_3-2-1_52KHE_2022-06-30_final
2022-07-19 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-07-19_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-31_final
2022-11-02 10:17:02	ga_s2bm_ard_3-2-1_53HQA_2022-11-02_final.stac-item
2022-11-20 11:11:36	ga_s2bm_ard_3-2-1_52LDJ_2022-11-20_final.stac-item
2022-12-20 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2022-12-20_final.stac-item
2022-12-26 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2022-12-26_nrt.stac-item
2023-01-02 11:21:59	ga_s2bm_ard_3-2-1_52KDG_2023-01-02_final.stac-item
2023-01-10 10:45:10	ga_s2bm_ard_3-2-1_53JKJ_2023-01-10_final.stac-item
2023-01-26 11:02:24	ga_s2bm_ard_3-2-1_52KHE_2023-01-26_final.stac-item
2023-01-28 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2023-01-28_final.stac-item
2023-02-17 10:07:12	ga_s2bm_ard_3-2-1_54HYD_2023-02-17_final.stac-item
2023-02-19 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2023-02-19_final.stac-item
2023-02-26 10:33:50	ga_s2bm_ard_3-2-1_53KQP_2023-02-26_final.stac-item
2023-02-28 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2023-02-28_final.stac-item
2023-04-03 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2023-04-03_final.stac-item
2023-05-07 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2023-05-07_final.stac-item
2023-06-04 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-06-04_final.stac-item
2023-07-06 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2023-07-06_final.stac-item
2023-07-06 10:36:41	ga_s2bm_ard_3-2-1_53HNC_2023-07-06_final.stac-item
2023-07-29 10:43:54	ga_s2bm_ard_3-2-1_53KPP_2023-07-29_final.stac-item
2023-08-03 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2023-08-03_final.stac-item
2023-08-06 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2023-08-06_final.stac-item
2023-08-13 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-08-13_final.stac-item
2023-08-16 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2023-08-16_final.stac-item
2023-10-28 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2023-10-28_final.stac-item
2023-11-14 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2023-11-14_final.stac-item
2023-11-16 10:44:53	ga_s2bm_ard_3-2-1_53JMK_2023-11-16_final.stac-item
2023-12-08 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-12-08_final.stac-item
2024-02-07 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2024-02-07_final.stac-item
2024-02-11 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-02-11_final.stac-item
2024-02-21 12:14:09	ga_s2bm_ard_3-2-1_49KFR_2024-02-21_nrt.stac-item
2024-03-08 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2024-03-08_final.stac-item
2024-04-01 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2024-04-01_final.stac-item
2024-05-24 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2024-05-24_nrt.stac-item
2024-05-31 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2024-05-31_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