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
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KUP_2017-12-02_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-25_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQJ_2018-01-11_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HXD_2018-02-07_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HQJ_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMH_2018-02-26_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JWH_2018-03-19_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHP_2018-03-21_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVU_2018-04-14_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KYU_2018-04-18_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUQ_2018-05-11_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXV_2018-06-20_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JLN_2018-08-25_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2018-09-25_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KVV_2018-10-11_final
2018-12-06 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2018-12-06_final
2018-12-24 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2018-12-24_final
2019-01-12 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2019-01-12_final
2019-02-25 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-02-25_final
2019-02-25 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-02-25_final
2019-04-13 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2019-04-13_final
2019-06-01 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-01_final.stac-item
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-06-14_final
2019-06-24 12:06:12	ga_s2bm_ard_3-2-1_50JLM_2019-06-24_final
2019-07-09 11:16:53	ga_s2bm_ard_3-2-1_51HWD_2019-07-09_final
2019-08-04 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2019-08-04_final
2019-08-11 11:24:36	ga_s2bm_ard_3-2-1_51JWN_2019-08-11_final
2019-10-16 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2019-10-16_final
2019-11-15 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2019-11-15_final
2019-11-19 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-11-19_final
2020-01-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2020-01-11_final
2020-03-18 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-18_final
2020-04-20 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2020-04-20_final
2020-04-26 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2020-04-26_final
2020-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-06-02 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-06-02_final
2020-06-25 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2020-06-25_final
2020-07-08 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-07-08_final
2020-07-12 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-07-12_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-24 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-24_final
2020-09-27 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2020-09-27_final
2020-12-26 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2020-12-26_final
2021-02-01 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2021-02-01_final
2021-02-08 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2021-02-08_final
2021-02-21 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2021-02-21_final
2021-03-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-03-29_final
2021-05-02 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2021-05-02_final
2021-05-02 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2021-05-02_final
2021-05-05 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2021-05-05_final
2021-05-28 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2021-05-28_final.stac-item
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2021-07-23_final
2021-07-23 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-07-23_final
2021-08-10 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2021-08-10_final
2021-08-13 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-08-13_final
2021-12-20 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2021-12-20_final
2021-12-20 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2021-12-20_final
2021-12-31 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2021-12-31_final
2021-12-31 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-12-31_final
2022-01-19 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2022-01-19_final
2022-02-09 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2022-02-09_final
2022-03-07 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-07_final.stac-item
2022-04-03 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2022-04-03_final
2022-04-07 11:22:31	ga_s2bm_ard_3-2-1_51KZV_2022-04-07_final
2022-04-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2022-04-19_final
2022-05-27 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2022-05-27_final
2022-06-22 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2022-06-22_final
2022-07-18 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2022-07-18_final
2022-09-10 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2022-09-10_final.stac-item
2022-09-10 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-09-10_final.stac-item
2022-10-04 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2022-10-04_final.stac-item
2022-10-21 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2022-10-21_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2023-01-14_final.stac-item
2023-04-02 11:22:41	ga_s2bm_ard_3-2-1_51KZV_2023-04-02_final.stac-item
2023-04-12 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2023-04-12_final.stac-item
2023-04-29 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2023-04-29_final.stac-item
2023-06-04 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-04_final.stac-item
2023-06-21 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2023-06-21_final.stac-item
2023-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-07-10_final.stac-item
2023-07-23 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-07-23_final.stac-item
2023-07-24 11:32:06	ga_s2bm_ard_3-2-1_51LWC_2023-07-24_final.stac-item
2023-08-20 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2023-08-20_final.stac-item
2023-09-12 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-09-12_final.stac-item
2023-10-09 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2023-10-09_final.stac-item
2023-10-15 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-10-15_final.stac-item
2023-10-21 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-21_final.stac-item
2023-11-07 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-11-07_final.stac-item
2023-11-14 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2023-11-14_final.stac-item
2023-11-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2023-11-23_final.stac-item
2023-12-11 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-12-11_final.stac-item
2024-01-22 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-01-22_final.stac-item
2024-01-24 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2024-01-24_final.stac-item
2024-01-30 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2024-01-30_final.stac-item
2024-02-23 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-02-23_final.stac-item
2024-03-07 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2024-03-07_final.stac-item
2024-03-20 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2024-03-20_final.stac-item
2024-04-15 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2024-04-15_final.stac-item
2024-04-16 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2024-04-16_final.stac-item
2024-05-02 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2024-05-02_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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