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
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HMH_2017-08-20_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2017-09-02_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50JQL_2017-09-03_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMR_2017-11-18_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPL_2018-01-24_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-01-30_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-01-30_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-02-22_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-11_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JML_2018-04-07_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-05-20_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLN_2018-06-06_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMK_2018-07-03_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HNK_2018-07-13_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-07-29_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50JPL_2018-07-30_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JQL_2018-08-22_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-10-20_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JNN_2018-10-31_final
2018-11-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-11-26_final
2018-12-03 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-03_final
2018-12-26 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2018-12-26_final
2018-12-27 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2018-12-27_final
2018-12-27 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2018-12-27_final.stac-item
2019-01-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-01-16_final
2019-01-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-01-25_final
2019-02-15 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-02-15_final
2019-03-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2019-03-10_final
2019-03-20 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2019-03-20_final
2019-03-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-03-20_final.stac-item
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final
2019-04-25 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-04-25_final
2019-06-28 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-28_final
2019-07-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2019-07-14_final
2019-08-07 11:46:26	ga_s2bm_ard_3-2-1_50JPL_2019-08-07_final
2019-08-30 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2019-08-30_final
2019-09-25 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-09-25_final
2019-12-11 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-11_final.stac-item
2020-02-13 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2020-02-13_final
2020-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-14_final
2020-03-20 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-03-20_final
2020-03-31 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-31_final
2020-04-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-04-13_final
2020-05-06 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2020-05-06_final
2020-07-02 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-07-02_final
2020-07-12 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-07-12_final
2020-07-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-07-28_final
2020-08-17 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-17_final
2020-08-21 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-21_final
2020-08-30 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-30_final
2020-09-30 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-09-30_final
2020-12-02 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-12-02_final
2021-01-14 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-14_final
2021-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-18_final
2021-02-20 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-02-20_final
2021-02-23 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2021-02-23_final
2021-03-02 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-03-02_final
2021-04-28 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-28_final
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final
2021-08-06 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-08-06_final
2021-08-06 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-08-06_final
2021-09-14 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-09-14_final
2021-09-25 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-09-25_final
2021-11-13 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-11-13_final
2021-11-23 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2021-11-23_final
2022-01-09 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2022-01-09_final
2022-01-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-01-22_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-02-21 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-02-21_final
2022-03-07 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-03-07_final
2022-04-03 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2022-04-03_final
2022-04-03 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2022-04-03_final
2022-05-02 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-05-02_final
2022-05-13 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-05-13_final
2022-05-19 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-05-19_final
2022-05-23 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2022-05-23_final.stac-item
2022-07-25 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-07-25_final
2022-09-10 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-09-10_final.stac-item
2022-09-20 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2022-09-20_final.stac-item
2022-10-20 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-10-20_final.stac-item
2022-11-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-11-25_final.stac-item
2023-02-07 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-02-07_final.stac-item
2023-03-12 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-03-12_final.stac-item
2023-04-25 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-04-25_final.stac-item
2023-05-01 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-05-01_final.stac-item
2023-09-01 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-09-01_final.stac-item
2023-10-28 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-10-28_final.stac-item
2023-12-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2023-12-14_final.stac-item
2024-02-09 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2024-02-09_final.stac-item
2024-02-11 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-02-11_final.stac-item
2024-03-16 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-03-16_final.stac-item
2024-03-19 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2024-03-19_final.stac-item
2024-03-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-03-22_final.stac-item
2024-05-08 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2024-05-08_final.stac-item
2024-05-09 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2024-05-09_final.stac-item
2024-05-09 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_final.stac-item
2024-05-22 11:46:25	ga_s2bm_ard_3-2-1_50JML_2024-05-22_nrt.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