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
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KGR_2017-07-27_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCL_2017-08-28_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGN_2017-09-25_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JNL_2017-09-29_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JTJ_2017-11-12_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52JFL_2017-11-30_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUT_2018-01-14_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-02-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KVU_2018-04-24_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXR_2018-05-18_final
2018-11-10 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2018-11-10_final
2018-11-11 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2018-11-11_final
2018-12-16 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2018-12-16_final
2019-01-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-01-19_final
2019-01-26 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2019-01-26_final
2019-02-11 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-02-11_final
2019-02-28 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2019-02-28_final
2019-03-24 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2019-03-24_final
2019-04-02 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2019-04-02_final
2019-05-12 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2019-05-12_final
2019-06-22 11:25:28	ga_s2bm_ard_3-2-1_51JYJ_2019-06-22_final
2019-07-21 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-07-21_final
2019-09-27 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2019-09-27_final
2019-10-16 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2019-10-16_final
2020-01-05 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2020-01-05_final
2020-01-18 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2020-01-18_final
2020-01-21 11:33:38	ga_s2bm_ard_3-2-1_51KVR_2020-01-21_final
2020-02-20 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2020-02-20_final
2020-03-28 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2020-03-28_final
2020-03-29 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2020-03-29_final
2020-06-02 11:43:53	ga_s2bm_ard_3-2-1_50KQA_2020-06-02_final
2020-08-04 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-04_final
2020-08-11 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-11_final
2020-08-11 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-08-11_final
2020-09-18 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2020-09-18_final
2020-09-21 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2020-09-21_final
2020-11-20 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2020-11-20_final
2020-12-06 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-12-06_final
2021-01-25 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-01-25_final
2021-02-11 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2021-02-11_final
2021-02-14 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-02-14_final
2021-02-28 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-02-28_final
2021-03-13 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2021-03-13_final
2021-05-04 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2021-05-04_final
2021-05-15 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-05-15_final
2021-05-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-05-18_final
2021-05-31 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-05-31_final
2021-07-04 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-07-04_final
2021-07-17 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2021-07-17_final
2021-07-20 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-07-20_final
2021-07-20 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-20_final
2021-09-08 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-09-08_final
2021-09-13 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2021-09-13_final
2021-09-25 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-09-25_final
2021-10-08 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-10-08_final
2021-10-09 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-09_final
2021-10-13 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2021-10-13_final
2021-11-05 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-11-05_final
2021-12-21 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2021-12-21_final
2022-01-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-01-13_final
2022-02-27 10:56:00	ga_s2bm_ard_3-2-1_52JEL_2022-02-27_final
2022-03-01 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2022-03-01_final
2022-03-25 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2022-03-25_final
2022-03-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2022-03-28_final
2022-04-03 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2022-04-03_final
2022-04-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2022-04-13_final
2022-04-18 10:54:53	ga_s2bm_ard_3-2-1_52JGQ_2022-04-18_final
2022-05-18 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2022-05-18_final
2022-05-30 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-30_final
2022-06-09 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2022-06-09_final
2022-06-15 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2022-06-15_final
2022-06-29 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2022-06-29_final
2022-08-01 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-08-01_final
2022-08-14 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2022-08-14_final
2022-08-25 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2022-08-25_final
2022-10-10 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-10-10_final.stac-item
2022-11-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-11-02_final.stac-item
2022-11-07 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2022-11-07_final.stac-item
2022-11-26 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-11-26_final.stac-item
2022-12-16 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-12-16_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2022-12-30 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-12-30_final.stac-item
2023-02-07 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2023-02-07_final.stac-item
2023-03-06 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-03-06_final.stac-item
2023-03-17 11:06:38	ga_s2bm_ard_3-2-1_52HBJ_2023-03-17_nrt.stac-item
2023-03-25 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-03-25_final.stac-item
2023-03-26 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2023-03-26_final.stac-item
2023-07-28 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-07-28_final.stac-item
2023-07-31 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-07-31_nrt.stac-item
2023-08-31 10:56:05	ga_s2bm_ard_3-2-1_52JFL_2023-08-31_final.stac-item
2023-09-12 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-09-12_final.stac-item
2023-09-12 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-12_final.stac-item
2023-11-11 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-11-11_final.stac-item
2023-11-29 10:54:23	ga_s2bm_ard_3-2-1_52JHS_2023-11-29_final.stac-item
2023-12-21 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2023-12-21_final.stac-item
2024-02-22 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2024-02-22_final.stac-item
2024-03-07 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2024-03-07_final.stac-item
2024-03-20 11:35:04	ga_s2bm_ard_3-2-1_51JTL_2024-03-20_final.stac-item
2024-05-06 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-05-06_final.stac-item
2024-05-22 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2024-05-22_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