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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HMK_2017-07-31_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGJ_2017-09-02_final
2017-09-07 11:12:07	ga_s2bm_ard_3-2-1_52KCC_2017-09-07_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2017-09-23_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-10-25_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KHC_2017-11-13_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52JDL_2017-11-23_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JFQ_2017-12-13_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVT_2018-01-21_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUJ_2018-02-20_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JGS_2018-03-10_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52HBK_2018-05-15_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNM_2018-06-26_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWD_2018-07-04_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KKA_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLN_2018-10-07_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HVC_2018-10-15_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKM_2018-10-27_final
2018-11-14 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2018-11-14_final
2019-01-20 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-01-20_final
2019-01-24 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2019-01-24_final
2019-03-18 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2019-03-18_final
2019-03-24 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2019-03-24_final
2019-04-03 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2019-04-03_final
2019-04-16 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2019-04-16_final
2019-04-19 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2019-04-19_final
2019-04-29 11:46:30	ga_s2bm_ard_3-2-1_50JNL_2019-04-29_final
2019-07-25 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-07-25_final
2019-12-16 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2019-12-16_final
2020-01-08 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2020-01-08_final
2020-02-20 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-02-20_final
2020-02-27 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2020-02-27_final
2020-03-05 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2020-03-05_final
2020-03-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2020-03-14_final
2020-05-27 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2020-05-27_final
2020-06-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-09_final
2020-07-20 11:04:59	ga_s2bm_ard_3-2-1_52JFQ_2020-07-20_final
2020-08-18 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2020-08-18_final
2020-09-28 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2020-09-28_final
2020-10-07 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2020-10-07_final
2020-10-17 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2020-10-17_final
2020-10-30 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2020-10-30_final
2021-02-23 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2021-02-23_final
2021-03-06 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2021-03-06_final
2021-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-03-06_final
2021-03-12 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2021-03-12_final
2021-04-09 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2021-04-09_final
2021-06-03 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-06-03_final
2021-06-03 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-06-03_final
2021-06-18 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2021-06-18_final
2021-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-10-05_final
2021-10-30 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-10-30_final
2021-11-08 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-11-08_final
2021-11-19 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2021-11-19_final
2021-11-21 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2021-11-21_final
2022-03-01 11:35:04	ga_s2bm_ard_3-2-1_51JWK_2022-03-01_final
2022-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2022-03-15_final
2022-03-21 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-03-21_final
2022-04-17 11:25:34	ga_s2bm_ard_3-2-1_51JXH_2022-04-17_final
2022-04-30 11:33:09	ga_s2bm_ard_3-2-1_51KVT_2022-04-30_final
2022-07-21 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-21_final
2022-07-30 11:06:04	ga_s2bm_ard_3-2-1_52JEL_2022-07-30_final
2022-08-01 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2022-08-01_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2022-08-30_final
2022-09-25 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2022-09-25_final.stac-item
2022-11-19 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-11-19_final.stac-item
2022-11-23 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2022-11-23_final.stac-item
2023-01-02 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2023-01-02_final.stac-item
2023-01-02 11:22:47	ga_s2bm_ard_3-2-1_52KCD_2023-01-02_final.stac-item
2023-01-02 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2023-01-02_final.stac-item
2023-01-11 11:57:08	ga_s2bm_ard_3-2-1_50HKH_2023-01-11_nrt.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2023-01-18_final.stac-item
2023-02-15 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-02-15_final.stac-item
2023-02-21 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2023-02-21_final.stac-item
2023-02-25 11:01:57	ga_s2bm_ard_3-2-1_52KHG_2023-02-25_final.stac-item
2023-02-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2023-02-26_final.stac-item
2023-02-28 11:12:47	ga_s2bm_ard_3-2-1_52KED_2023-02-28_final.stac-item
2023-05-09 12:51:03	ga_s2bm_ard_3-2-1_48LWP_2023-05-09_final.stac-item
2023-06-22 10:55:50	ga_s2bm_ard_3-2-1_52JFM_2023-06-22_final.stac-item
2023-06-27 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-06-27_final.stac-item
2023-07-01 11:22:13	ga_s2bm_ard_3-2-1_52KBG_2023-07-01_final.stac-item
2023-07-01 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-07-01_final.stac-item
2023-07-26 12:14:13	ga_s2bm_ard_3-2-1_50KKV_2023-07-26_final.stac-item
2023-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2023-10-08_final.stac-item
2023-11-11 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-11-11_final.stac-item
2023-11-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-11-28_final.stac-item
2023-12-09 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2023-12-09_final.stac-item
2023-12-10 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-12-10_final.stac-item
2023-12-17 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-12-17_nrt.stac-item
2023-12-18 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2023-12-18_final.stac-item
2023-12-30 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-12-30_final.stac-item
2024-01-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2024-01-13_final.stac-item
2024-01-21 11:02:58	ga_s2bm_ard_3-2-1_52KGC_2024-01-21_final.stac-item
2024-02-16 11:21:11	ga_s2bm_ard_3-2-1_51LZF_2024-02-16_nrt.stac-item
2024-02-18 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-02-18_final.stac-item
2024-02-29 11:31:49	ga_s2bm_ard_3-2-1_51LXC_2024-02-29_final.stac-item
2024-03-04 11:12:13	ga_s2bm_ard_3-2-1_52KEF_2024-03-04_final.stac-item
2024-03-21 11:02:15	ga_s2bm_ard_3-2-1_52KGF_2024-03-21_final.stac-item
2024-05-02 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-05-02_final.stac-item
2024-05-13 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2024-05-13_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

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