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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLT_2017-09-09_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KRD_2017-11-15_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQG_2017-11-22_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMH_2018-01-07_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMH_2018-02-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLG_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMG_2018-03-05_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HNG_2018-03-12_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JUF_2018-03-19_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNR_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPP_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLQ_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLS_2018-03-28_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JTJ_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JUF_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPP_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50KPV_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLP_2018-04-07_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KPU_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLT_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HTE_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQM_2018-04-24_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HXE_2018-04-25_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGM_2018-05-30_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HTC_2018-06-10_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHS_2018-07-09_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNG_2018-07-13_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JMM_2018-07-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JKP_2018-08-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMS_2018-08-05_final
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-31 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2018-12-31_final.stac-item
2019-01-22 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-01-22_final
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final
2019-04-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2019-04-09_final.stac-item
2019-04-26 11:36:33	ga_s2bm_ard_3-2-1_50JPL_2019-04-26_final
2019-05-29 11:44:31	ga_s2bm_ard_3-2-1_50KPU_2019-05-29_final
2019-05-29 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-29_final
2019-06-14 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-06-14_final
2019-06-17 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-08-28 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-08-28_final.stac-item
2019-11-09 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2019-11-09_final
2020-01-04 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-04_final
2020-01-24 11:46:12	ga_s2bm_ard_3-2-1_50JPL_2020-01-24_final
2020-02-20 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2020-02-20_final.stac-item
2020-02-26 11:52:56	ga_s2bm_ard_3-2-1_50KRD_2020-02-26_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-17 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2020-03-17_final.stac-item
2020-04-24 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2020-04-24_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-06-15 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2020-06-15_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-18_final
2020-07-02 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-07-02_final
2020-09-03 11:53:02	ga_s2bm_ard_3-2-1_50KRD_2020-09-03_final
2020-10-07 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-10-07_final.stac-item
2020-10-20 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-10-20_final
2020-12-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2020-12-29_final
2021-01-08 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-01-08_final.stac-item
2021-02-10 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-02-10_final
2021-03-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2021-03-13_final.stac-item
2021-04-24 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-04-24_final.stac-item
2021-06-18 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-06-18_final
2021-07-14 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2021-07-14_final
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final
2021-07-23 12:03:47	ga_s2bm_ard_3-2-1_50KLA_2021-07-23_final
2021-08-29 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2021-08-29_final.stac-item
2021-09-12 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2021-09-12_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-11-25 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-11-25_final
2021-12-07 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2021-12-07_final
2021-12-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-12-07_final
2021-12-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-12-10_final.stac-item
2021-12-10 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-12-10_final
2022-01-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-01-19_final
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-03-27 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2022-03-27_final
2022-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-05-19_final
2022-06-23 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2022-06-23_final.stac-item
2022-08-31 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2022-08-31_final
2022-09-13 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2022-09-13_final.stac-item
2022-09-23 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2022-09-23_final.stac-item
2022-12-09 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-12-09_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final.stac-item
2023-04-11 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-11_final.stac-item
2023-04-17 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2023-04-17_final.stac-item
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final.stac-item
2023-07-20 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2023-07-20_final.stac-item
2023-07-26 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-26_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-21_final.stac-item
2023-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-10-28_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2024-02-15 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2024-02-15_final.stac-item
2024-04-29 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2024-04-29_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

All years