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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HPK_2017-11-05_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKP_2018-01-10_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQT_2018-01-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JRS_2018-01-14_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2018-02-10_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50KLC_2018-02-19_final
2018-04-17 11:46:06	ga_s2bm_ard_3-2-1_50KQG_2018-04-17_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HTE_2018-05-31_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-06-09_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKT_2018-06-29_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HLK_2018-07-06_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKT_2018-07-19_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HUD_2018-07-27_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KKU_2018-08-28_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-09-30_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-10-27_final
2018-11-16 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-16_final
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final
2019-01-02 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2019-01-02_final
2019-01-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-01-02_final
2019-02-08 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-02-08_final
2019-02-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2019-02-14_final
2019-02-24 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2019-02-24_final
2019-04-18 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-04-18_final
2019-05-02 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-05-02_final
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final
2019-05-12 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-05-12_final.stac-item
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_50KRC_2019-06-08_final
2019-06-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-25_final
2019-07-04 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2019-07-04_final
2019-07-11 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-11_final
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final
2019-09-29 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-09-29_final
2019-10-12 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-10-12_final
2019-10-20 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2019-10-20_final
2019-10-20 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2019-10-20_final
2019-11-02 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2019-11-02_final
2019-11-15 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-11-15_final.stac-item
2020-01-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-01-03_final
2020-01-14 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-14_final
2020-02-09 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2020-02-09_final
2020-02-16 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2020-02-16_final
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final
2020-03-04 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2020-03-04_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-05-26 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-05-26_final
2020-06-06 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2020-06-06_final
2020-06-29 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-29_final.stac-item
2020-09-04 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-09-04_final
2020-10-03 11:54:58	ga_s2bm_ard_3-2-1_50JMS_2020-10-03_final
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-08_final
2020-12-19 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-12-19_final.stac-item
2020-12-26 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2020-12-26_final.stac-item
2021-01-17 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final
2021-02-07 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2021-02-07_final
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final
2021-05-25 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2021-05-25_final
2021-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-07-07_final
2021-08-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-08-06_final
2021-08-10 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-08-10_final
2021-08-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-08-13_final
2021-12-13 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2021-12-18 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2021-12-18_final
2021-12-27 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2021-12-27_final.stac-item
2022-02-11 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-11_final
2022-02-15 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2022-02-15_final
2022-02-16 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2022-02-16_final
2022-02-18 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2022-02-18_final
2022-04-29 12:05:48	ga_s2bm_ard_3-2-1_50JKN_2022-04-29_final
2022-06-18 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2022-06-18_final
2022-06-22 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2022-06-22_final
2022-08-11 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2022-08-11_final
2022-08-17 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2022-08-17_final
2022-08-25 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2022-08-25_final.stac-item
2022-09-26 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2022-09-26_final.stac-item
2022-09-30 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2022-09-30_final.stac-item
2022-10-30 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-10-30_final.stac-item
2022-10-30 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2022-10-30_final.stac-item
2022-11-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-11-22_final.stac-item
2022-12-16 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2022-12-16_final.stac-item
2022-12-29 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2022-12-29_final.stac-item
2023-01-11 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2023-01-11_final.stac-item
2023-01-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-01-15_final.stac-item
2023-03-22 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-03-22_final.stac-item
2023-04-24 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2023-04-24_final.stac-item
2023-05-27 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-27_final.stac-item
2023-06-03 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final.stac-item
2023-07-04 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-07-04_final.stac-item
2023-07-13 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-07-13_final.stac-item
2023-07-20 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-07-20_final.stac-item
2023-08-19 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-19_final.stac-item
2023-08-26 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-08-26_final.stac-item
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final.stac-item
2023-11-14 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2023-11-14_final.stac-item
2023-11-27 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2023-11-27_final.stac-item
2023-12-30 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2023-12-30_final.stac-item
2024-01-26 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2024-01-26_final.stac-item
2024-01-26 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2024-01-26_final.stac-item
2024-04-05 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2024-04-05_final.stac-item
2024-04-06 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2024-04-06_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