The baseline science objective of the NASA Soil Moisture Active Passive (SMAP) mission is to produce a daily landscape freeze/thaw state for the region north of 45° N latitude with a mean spatial classification accuracy of 80% and 2-3 day average intervals separated by AM and PM overpasses . Following the loss of the SMAP radar in July 2015, radiometer inputs were used to develop a standard freeze/thaw product (L3-FT-P) with relaxed spatial resolution from 3km to 36km. A 9km gridded product (L3-FT-P-E) has been developed by applying enhanced resolution radiometer inputs to the same algorithm. This paper provides an overview of the algorithm development as well as the validation and calibration using in situ observations from both selected core sites and sparse ground station networks.
|Title of host publication
|2017 IEEE International Geoscience and Remote Sensing Symposium
|Subtitle of host publication
|International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - Dec 1 2017
|37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: Jul 23 2017 → Jul 28 2017
|International Geoscience and Remote Sensing Symposium (IGARSS)
|37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
|7/23/17 → 7/28/17
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences