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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KQC_2017-09-09_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HYE_2018-01-15_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-20_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVP_2018-03-02_final
2018-03-23 11:05:39	ga_s2bm_ard_3-2-1_52HDK_2018-03-23_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVP_2018-04-01_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50KRC_2018-06-03_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51JZN_2018-07-04_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_52KBU_2018-07-17_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGM_2018-08-01_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KBU_2018-08-03_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JEQ_2018-08-20_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52JBQ_2018-10-02_final
2018-11-17 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2018-11-17_final
2019-01-03 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2019-01-03_final
2019-04-03 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2019-04-03_final
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-05-15_final
2019-05-20 11:14:32	ga_s2bm_ard_3-2-1_52JBT_2019-05-20_final
2019-07-28 11:41:41	ga_s2bm_ard_3-2-1_51LUE_2019-07-28_final
2019-08-01 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2019-08-01_final
2019-08-08 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2019-08-08_final
2019-09-23 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-09-23_final
2019-10-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-13_final
2019-10-26 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-10-26_final
2019-11-18 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-11-18_final
2019-11-28 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2019-11-28_final
2019-12-08 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2019-12-08_final
2020-02-03 11:45:54	ga_s2bm_ard_3-2-1_50JQM_2020-02-03_final
2020-03-31 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-31_final
2020-04-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-04-23_final.stac-item
2020-06-02 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-06-02_final
2020-06-02 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2020-06-02_final
2020-07-19 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2020-07-19_final
2020-08-05 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-08-05_final
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-09-20 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2020-09-20_final
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final
2020-11-10 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2020-11-10_final
2020-11-10 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2020-11-10_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2020-11-20_final
2020-12-30 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2020-12-30_final
2020-12-30 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2020-12-30_final
2021-03-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-03-29_final
2021-04-02 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2021-04-02_final
2021-04-04 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-04-04_final
2021-05-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-05-15_final
2021-06-04 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-04_final.stac-item
2021-07-04 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2021-07-04_final
2021-08-27 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2021-08-27_final
2021-08-29 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-08-29_final
2021-09-15 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2021-09-15_final
2021-09-19 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2021-09-19_final
2021-09-19 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2021-09-19_final
2021-10-16 11:14:57	ga_s2bm_ard_3-2-1_51JYL_2021-10-16_final
2021-11-01 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-01_final
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final
2022-01-20 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2022-01-20_final
2022-02-06 11:22:57	ga_s2bm_ard_3-2-1_52KCC_2022-02-06_final
2022-03-11 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-03-11_final
2022-03-28 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2022-03-28_final
2022-04-10 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-04-10_final
2022-06-16 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2022-06-16_final
2022-07-17 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2022-07-17_final
2022-07-28 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2022-07-28_final
2022-08-12 11:15:22	ga_s2bm_ard_3-2-1_52JCP_2022-08-12_final
2022-08-28 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2022-08-28_final
2022-09-14 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2022-09-14_final.stac-item
2022-10-20 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-10-20_final.stac-item
2022-10-29 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-10-29_final.stac-item
2022-11-09 13:21:37	ga_s2bm_ard_3-2-1_47LKH_2022-11-09_interim.stac-item
2022-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-12-19_final.stac-item
2023-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-25_final.stac-item
2023-03-30 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2023-03-30_final.stac-item
2023-04-11 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-04-11_final.stac-item
2023-04-21 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-04-21_final.stac-item
2023-06-01 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-06-01_final.stac-item
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final.stac-item
2023-06-27 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-06-27_final.stac-item
2023-07-18 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2023-07-18_final.stac-item
2023-07-28 11:13:34	ga_s2bm_ard_3-2-1_51KZS_2023-07-28_final.stac-item
2023-08-23 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2023-08-23_final.stac-item
2023-09-25 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-09-25_final.stac-item
2023-10-09 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2023-10-09_final.stac-item
2023-11-11 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-11-11_final.stac-item
2023-12-21 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2023-12-21_final.stac-item
2023-12-24 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-12-24_final.stac-item
2024-02-13 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2024-02-13_final.stac-item
2024-03-07 11:22:36	ga_s2bm_ard_3-2-1_51KYV_2024-03-07_final.stac-item
2024-03-16 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-03-16_final.stac-item
2024-03-17 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2024-03-17_final.stac-item
2024-03-20 11:31:49	ga_s2bm_ard_3-2-1_51LXC_2024-03-20_final.stac-item
2024-03-22 12:14:02	ga_s2bm_ard_3-2-1_49KFR_2024-03-22_nrt.stac-item
2024-04-13 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2024-04-13_final.stac-item
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_final.stac-item
2024-05-03 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2024-05-03_final.stac-item
2024-05-19 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2024-05-19_final.stac-item
2024-05-27 10:55:27	ga_s2bm_ard_3-2-1_52JGN_2024-05-27_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

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