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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLC_2017-07-04_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51HTC_2017-07-25_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JNT_2018-01-17_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPT_2018-01-24_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLP_2018-03-31_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKU_2018-04-10_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JNM_2018-06-16_final
2018-11-23 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2018-11-23_final.stac-item
2019-01-15 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2019-01-15_final
2019-02-28 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2019-02-28_final
2019-03-13 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2019-03-13_final
2019-03-17 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2019-03-17_final
2019-03-26 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2019-03-26_final
2019-03-27 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2019-03-27_final
2019-04-09 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2019-04-09_final
2019-04-09 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2019-04-09_final
2019-04-12 11:56:27	ga_s2bm_ard_3-2-1_50JML_2019-04-12_final
2019-05-19 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-06-21 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-06-21_final
2019-09-16 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2019-09-16_final
2019-10-09 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2019-10-09_final
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2019-11-24_final
2019-12-01 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2019-12-01_final
2020-01-14 11:44:39	ga_s2bm_ard_3-2-1_50JRS_2020-01-14_final
2020-01-20 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2020-01-20_final
2020-03-07 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-03-10_final
2020-03-17 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2020-03-17_final
2020-04-16 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2020-04-16_final
2020-05-06 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2020-05-06_final
2020-05-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2020-05-10_final
2020-06-05 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-06-05_final
2020-06-09 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-09_final
2020-06-29 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-29_final
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final
2020-07-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-07-29_final
2020-08-18 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-08-18_final
2020-09-23 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2020-09-23_final
2020-09-26 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-09-26_final
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-12 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-11-12_final
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final
2021-01-05 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-01-05_final
2021-01-27 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-01-27_final
2021-02-20 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-02-20_final
2021-04-01 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-04-01_final
2021-06-04 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-06-04_final
2021-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-07_final
2021-06-20 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-06-20_final
2021-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-06-24_final
2021-07-06 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-06_final
2021-09-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-09-21_final
2021-09-24 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-09-24_final
2021-10-11 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-10-11_final
2021-10-18 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-10-18_final
2021-11-03 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-11-03_final
2021-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-11-20_final
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final
2022-01-29 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2022-01-29_final
2022-02-09 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2022-02-09_final.stac-item
2022-03-04 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2022-03-04_final
2022-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2022-03-10_final
2022-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-13_final
2022-03-20 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-03-20_final
2022-04-23 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2022-04-23_final
2022-04-26 11:55:47	ga_s2bm_ard_3-2-1_50JMN_2022-04-26_final
2022-05-02 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-05-02_final
2022-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-05-26_final
2022-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2022-06-28_final
2022-07-09 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-07-09_final
2022-08-01 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2022-08-01_final
2022-08-18 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2022-08-18_final
2022-09-16 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2022-09-16_final.stac-item
2022-09-23 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2022-09-23_final.stac-item
2022-09-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-09-26_final.stac-item
2022-12-09 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-12-09_final.stac-item
2022-12-22 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-12-22_final.stac-item
2023-01-28 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2023-01-28_final.stac-item
2023-02-16 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-02-27 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2023-02-27_final.stac-item
2023-02-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-02-27_final.stac-item
2023-03-08 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-08_final.stac-item
2023-03-25 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2023-03-25_final.stac-item
2023-04-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-04-08_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-05-31 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2023-05-31_final.stac-item
2023-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-16_final.stac-item
2023-06-23 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-06-23_final.stac-item
2023-07-03 12:04:30	ga_s2bm_ard_3-2-1_50KLU_2023-07-03_final.stac-item
2023-07-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-07-13_final.stac-item
2023-07-27 11:46:00	ga_s2bm_ard_3-2-1_50JNN_2023-07-27_final.stac-item
2023-09-21 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2023-09-21_final.stac-item
2023-10-25 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-10-25_final.stac-item
2023-12-14 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2023-12-14_final.stac-item
2023-12-24 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2023-12-24_final.stac-item
2023-12-31 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-12-31_final.stac-item
2024-01-03 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-01-03_final.stac-item
2024-01-20 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2024-01-20_final.stac-item
2024-04-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-04-15_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