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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-07_final
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGR_2017-08-02_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JWK_2017-08-14_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53HNB_2017-09-25_final
2017-10-31 10:47:11	ga_s2bm_ard_3-2-1_53LPF_2017-10-31_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-11-21_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KQT_2017-11-27_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXT_2017-12-12_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWB_2017-12-22_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51JYN_2017-12-26_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HQC_2018-03-21_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53KQQ_2018-04-03_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53LPC_2018-04-06_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUE_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMH_2018-04-24_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KDV_2018-05-15_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLT_2018-06-26_final
2018-07-08 10:47:23	ga_s2bm_ard_3-2-1_53LPG_2018-07-08_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KYS_2018-08-06_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_53JKG_2018-09-06_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HWD_2018-10-05_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53HPB_2018-10-30_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HLH_2018-10-31_final
2019-02-14 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2019-02-14_final
2019-04-13 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2019-04-13_final
2019-07-13 10:51:29	ga_s2bm_ard_3-2-1_53LND_2019-07-13_final
2019-07-24 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-07-24_final
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final
2019-10-10 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-10-10_final
2019-10-20 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-20_final
2019-12-08 10:16:54	ga_s2bm_ard_3-2-1_54HUF_2019-12-08_final
2019-12-15 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2019-12-15_final
2019-12-21 10:25:30	ga_s2bm_ard_3-2-1_54JVL_2019-12-21_final
2020-01-24 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-01-24_final
2020-01-26 10:41:48	ga_s2bm_ard_3-2-1_53KNB_2020-01-26_final
2020-02-09 10:23:58	ga_s2bm_ard_3-2-1_53JRN_2020-02-09_final
2020-02-23 10:04:40	ga_s2bm_ard_3-2-1_54JXQ_2020-02-23_final
2020-03-02 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2020-03-02_final
2020-04-29 10:24:26	ga_s2bm_ard_3-2-1_54JUR_2020-04-29_final
2020-05-17 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2020-05-17_final
2020-05-21 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2020-05-21_final
2020-05-26 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final
2020-05-29 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-29_final
2020-06-08 10:24:18	ga_s2bm_ard_3-2-1_54JUS_2020-06-08_final
2020-06-13 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2020-06-13_final
2020-07-03 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2020-07-03_final
2020-08-07 10:25:09	ga_s2bm_ard_3-2-1_53JQJ_2020-08-07_final
2020-08-15 11:21:35	ga_s2bm_ard_3-2-1_52LDJ_2020-08-15_final
2020-08-17 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2020-08-17_final
2020-09-06 10:24:52	ga_s2bm_ard_3-2-1_54JVP_2020-09-06_final
2020-09-18 11:01:07	ga_s2bm_ard_3-2-1_52LHL_2020-09-18_final
2020-09-25 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2020-09-25_final
2020-12-18 10:36:27	ga_s2bm_ard_3-2-1_53HPC_2020-12-18_final
2021-01-03 10:51:35	ga_s2bm_ard_3-2-1_53LNC_2021-01-03_final
2021-02-06 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2021-02-06_final
2021-03-27 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2021-03-27_final
2021-04-28 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-28_final
2021-05-21 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-05-21_final
2021-05-24 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2021-05-24_final
2021-06-01 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2021-06-01_final
2021-07-14 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2021-07-14_final
2021-08-25 10:36:30	ga_s2bm_ard_3-2-1_53HPC_2021-08-25_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-10-09 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-10-09_final
2021-10-21 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-21_final
2021-10-27 10:43:53	ga_s2bm_ard_3-2-1_53KNP_2021-10-27_final
2022-01-09 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2022-01-09_final
2022-01-23 10:06:34	ga_s2bm_ard_3-2-1_54HXG_2022-01-23_final
2022-03-07 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2022-03-07_final
2022-05-13 10:05:57	ga_s2bm_ard_3-2-1_54HWK_2022-05-13_final
2022-05-27 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2022-05-27_final
2022-07-29 09:57:56	ga_s2bm_ard_3-2-1_54HYB_2022-07-29_final
2022-09-26 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2022-09-26_final.stac-item
2022-11-15 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2022-11-15_final.stac-item
2022-11-17 11:02:15	ga_s2bm_ard_3-2-1_52KGF_2022-11-17_final.stac-item
2022-12-07 11:05:05	ga_s2bm_ard_3-2-1_52JCQ_2022-12-07_final.stac-item
2022-12-24 10:50:41	ga_s2bm_ard_3-2-1_53LMG_2022-12-24_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2023-01-07 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2023-01-07_final.stac-item
2023-02-09 10:45:56	ga_s2bm_ard_3-2-1_53JKF_2023-02-09_final.stac-item
2023-02-14 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2023-02-14_final.stac-item
2023-04-16 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-04-16_final.stac-item
2023-04-28 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2023-04-28_final.stac-item
2023-05-14 10:25:09	ga_s2bm_ard_3-2-1_53JQJ_2023-05-14_final.stac-item
2023-06-12 10:53:15	ga_s2bm_ard_3-2-1_53KLS_2023-06-12_final.stac-item
2023-06-19 10:41:35	ga_s2bm_ard_3-2-1_53LRC_2023-06-19_nrt.stac-item
2023-09-21 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-09-21_final.stac-item
2023-09-25 10:07:11	ga_s2bm_ard_3-2-1_54HXE_2023-09-25_final.stac-item
2023-10-06 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2023-10-06_final.stac-item
2023-10-17 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2023-10-17_final.stac-item
2024-01-09 10:26:31	ga_s2bm_ard_3-2-1_53HQC_2024-01-09_final.stac-item
2024-02-17 10:51:22	ga_s2bm_ard_3-2-1_53LND_2024-02-17_final.stac-item
2024-02-19 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2024-02-19_final.stac-item
2024-02-29 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2024-02-29_final.stac-item
2024-03-08 10:53:19	ga_s2bm_ard_3-2-1_53KLR_2024-03-08_final.stac-item
2024-04-14 10:43:52	ga_s2bm_ard_3-2-1_53KNP_2024-04-14_final.stac-item
2024-05-01 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-05-01_final.stac-item
2024-05-01 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2024-05-01_final.stac-item
2024-05-18 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2024-05-18_final.stac-item
2024-05-21 10:31:34	ga_s2bm_ard_3-2-1_53LRC_2024-05-21_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