Characteristics of land surface remote sensing are addressed, including the bistatic geometry, signal scattering, georeferencing with respect to terrain … Recent advances in microwave remote sensing technology indicate that surface soil moisture can be inferred with both ground-based and aircraft-based remote sensing systems operating in the microwave region of the electromagnetic spectrum. Two applications of GNSS bistatic radar, soil moisture remote sensing and aircraft altimetry, are studied in detail. Experiments in Ground-based Microwave Remote Sensing of Soil Moisture. Challenge: Improve USDA Foreign Agricultural Service commodity crop forecasts by integrating NASA soil moisture remote sensing products and land surface modeling/assimilation tools into the operational USDA FAS global water balance modeling system. ARSET is a part of NASA's Applied Science's Capacity Building Program.
Research in soil moisture remote sensing began in the mid 1970's shortly after the surge in satellite development. The team has recently developed an innovative algorithm for processing remotely sensed data that improves differentiation of image features. This dissertation is aimed at evaluating and improving remote sensing techniques for vegetation moisture and fire risk estimation. The launch window lasts three minutes. Soil Moisture Remote Sensing MSFC scientists have expertise in soil moisture remote sensing with particular emphasis on retrieval algorithm sensitivity and issues associated with validation. NASA's Soil Moisture Active Passive (SMAP) observatory is perched on the pad at Space Launch Complex 2 (SLC-2), and is set to launch Thursday, Jan. 29, at 6:20 a.m. PST (9:20 a.m. EST) from Vandenberg Air Force Base in California.
A United Launch Alliance Delta II rocket will carry SMAP into orbit. This training was co-created by NASA's Applied Remote Sensing Training Program (ARSET) and the UN Development Programme (UNDP). With that in mind, scientists have been working hard to develop remote sensing tools to measure soil moisture on a uniform and globally consistent scale.
Remote sensing of soil moisture from the vantage point of space is advantageous because of its spatial coverage and temporal continuity, but this capability does not yet exist.
Empirical retrievals of vegetation moisture using liquid water absorption based spectral indices such as the NDWI (Normalized Difference Water Index) and NDII (Normalized Difference Infrared Index) may have uncertainties, since these indices cannot fully …