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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-22_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-05_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KRC_2017-12-08_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHS_2017-12-31_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLQ_2018-02-26_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2018-04-07_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPH_2018-06-10_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQG_2018-06-10_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMM_2018-08-05_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-09_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPH_2018-09-21_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-28_final
2018-11-17 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2018-11-17_final.stac-item
2018-11-29 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2018-11-29_final
2018-12-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-12-26_final
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-12-26_final
2019-02-05 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-02-05_final
2019-02-25 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2019-02-25_final
2019-04-29 11:46:23	ga_s2bm_ard_3-2-1_50JQL_2019-04-29_final
2019-05-12 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-05-12_final
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final
2019-09-02 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2019-09-02_final
2019-11-18 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-11-18_final
2019-12-28 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-28_final
2020-01-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-01-07_final
2020-03-27 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-27_final.stac-item
2020-04-23 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2020-04-23_final
2020-05-26 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-05-26_final
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final
2020-06-25 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-06-25_final
2020-08-11 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-11_final
2020-08-17 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-17_final
2020-08-21 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-21_final
2020-09-06 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-09-06_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-12-18_final
2020-12-28 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-12-28_final
2021-01-25 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-01-25_final
2021-03-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-03-15_final
2021-04-11 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-04-11_final
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-06-20 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-06-20_final
2021-07-10 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2021-07-10_final
2021-08-16 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-08-16_final
2021-10-12 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-10-12_final
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final
2021-11-01 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-11-01_final
2021-11-24 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-11-24_final
2021-11-30 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2021-11-30_final
2022-01-09 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2022-01-09_final
2022-02-05 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-02-05_final
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final
2022-04-26 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2022-04-26_final
2022-05-03 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-05-03_final
2022-06-29 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2022-06-29_final
2022-07-12 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-07-12_final
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-18_final
2022-09-06 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2022-09-06_final.stac-item
2022-10-13 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-10-13_final.stac-item
2022-11-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-08_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-18 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-12-18_final.stac-item
2022-12-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-12-25_final.stac-item
2022-12-25 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-12-25_final.stac-item
2023-01-01 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-01-01_final.stac-item
2023-01-31 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2023-01-31_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-04-01 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-04-01_final.stac-item
2023-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2023-04-01_final.stac-item
2023-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-04-11_final.stac-item
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final.stac-item
2023-06-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-06-07_final.stac-item
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final.stac-item
2023-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-06-14_final.stac-item
2023-06-27 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-27_final.stac-item
2023-07-14 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-07-14_final.stac-item
2023-07-26 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-26_final.stac-item
2023-08-09 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-09_final.stac-item
2023-09-04 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-09-04_final.stac-item
2023-09-05 11:43:14	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final.stac-item
2023-09-15 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-15_final.stac-item
2023-09-18 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-09-18_final.stac-item
2023-09-18 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-18_final.stac-item
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final.stac-item
2023-10-31 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-31_final.stac-item
2023-12-10 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-12-10_final.stac-item
2023-12-30 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-12-30_final.stac-item
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final.stac-item
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_final.stac-item
2024-02-25 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2024-02-25_final.stac-item
2024-03-19 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2024-03-19_final.stac-item
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2024-04-08_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