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
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGJ_2017-11-01_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-11-14_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2018-04-07_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-05-03_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KQC_2018-06-16_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNM_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50KLU_2018-07-19_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKN_2018-07-29_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKM_2018-08-25_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-14_final
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2019-01-06 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2019-01-06_final.stac-item
2019-01-12 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-01-12_final.stac-item
2019-01-29 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-01-29_final
2019-03-13 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2019-03-13_final
2019-05-05 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-05_final
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final
2019-07-24 12:05:35	ga_s2bm_ard_3-2-1_50JLQ_2019-07-24_final
2019-08-17 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2019-08-17_final
2019-08-23 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2019-08-23_final
2019-09-19 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2019-09-19_final
2019-10-19 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-19_final.stac-item
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-12-25 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2019-12-25_final
2019-12-25 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2019-12-25_final
2020-01-14 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2020-01-14_final
2020-02-13 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2020-02-13_final
2020-03-11 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2020-03-11_final.stac-item
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final
2020-04-29 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2020-04-29_final
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final
2020-05-06 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2020-05-06_final
2020-06-15 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2020-06-15_final
2020-06-18 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-18_final
2020-07-02 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-07-02_final
2020-07-22 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2020-07-22_final
2020-09-03 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-09-03_final
2020-10-13 11:54:03	ga_s2bm_ard_3-2-1_50KPA_2020-10-13_final
2020-10-13 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-13_final
2020-10-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-10-26_final
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final
2020-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2020-11-25_final
2020-12-02 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2020-12-02_final
2021-02-04 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-02-04_final
2021-03-09 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-03-09_final
2021-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KPV_2021-05-11_final
2021-05-21 11:53:57	ga_s2bm_ard_3-2-1_50KMA_2021-05-21_final
2021-08-12 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-08-12_final
2021-08-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-08-13_final
2021-09-01 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-01_final
2021-09-08 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-08_final.stac-item
2021-09-15 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2021-09-15_final
2021-09-25 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-09-25_final.stac-item
2021-12-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-12-27_final
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2022-01-19_final
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final
2022-04-06 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-04-06_final
2022-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-04-12_final
2022-04-29 12:03:34	ga_s2bm_ard_3-2-1_50KLB_2022-04-29_final
2022-05-19 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2022-05-19_final
2022-05-23 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2022-05-23_final.stac-item
2022-05-29 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-05-29_final
2022-06-25 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-06-25_final
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final
2022-08-18 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-08-18_final
2022-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2022-08-31_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-11-05 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2022-11-05_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-11-08_final.stac-item
2022-12-09 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-12-09_final.stac-item
2023-01-11 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2023-01-11_final.stac-item
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2023-01-17_final.stac-item
2023-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-02-14_final.stac-item
2023-02-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-02-23_final.stac-item
2023-03-12 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-03-12_final.stac-item
2023-03-29 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2023-03-29_final.stac-item
2023-04-11 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-04-11_final.stac-item
2023-04-24 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-04-24_final.stac-item
2023-05-04 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2023-05-04_final.stac-item
2023-07-04 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-07-04_final.stac-item
2023-07-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-23_final.stac-item
2023-08-12 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2023-08-12_final.stac-item
2023-09-08 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-09-08_final.stac-item
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final.stac-item
2023-09-21 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-21_final.stac-item
2023-09-28 11:54:29	ga_s2bm_ard_3-2-1_50KMU_2023-09-28_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-10-02_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-11-13_final.stac-item
2023-11-30 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2023-11-30_final.stac-item
2023-12-10 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-12-10_final.stac-item
2024-02-08 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2024-02-08_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-02-08_final.stac-item
2024-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-02-22_final.stac-item
2024-02-29 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2024-02-29_final.stac-item
2024-03-03 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2024-03-03_final.stac-item
2024-03-16 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2024-03-16_final.stac-item
2024-04-09 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-04-09_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