This project will use data from two sensors, ASCAT and AMSR-E, treated as a Gaussian random vector, to classify biomes in the United States. This classification system will then be analyzed for accuracy and probability of error.

Sea surface temperature (SST) is an important parameter used in many applications, such as fisheries, weather forecasting as boundary condition, and monitoring of climate changes. In these applications, SST is necessary under both fine and cloudy conditions, which can be made by passive microwave radiometers in particular under cloudy condition. To measure SST by microwave radiometers, frequenc...

Semi-arid North-central Namibia has high potential for rice cultivation because large seasonal wetlands (oshana) form during the rainy season. Evaluating the distribution of surface water would reveal the area potentially suitable for rice cultivation. In this study, we detected the distribution of surface water with high spatial and temporal resolution by using two types of complementary satel...

Quantitative analysis of the atmospheric effects on observations made by the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) has been performed. The differences between observed brightness temperatures at the top of the atmosphere and at the bottom of the atmosphere were analyzed using a database of simulated observations, which were configured to replicate AMSR-E data. T...

This paper presents two space detected Global Positioning System (GPS) signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E) and sea ice charts from the National Ice Center. The results of the analysis show significantly different signals received for each of the GPS ...

We have studied the possibility of combining the high-resolution synthetic aperture radar (SAR) segmentation and ice concentration estimated by radiometer brightness temperatures. Here we present an algorithm for mapping a radiometer-based concentration value for each SAR segment. The concentrations are estimated by a multi-layer perceptron (MLP) neural network which has the AMSR-2 (Advanced Mi...

We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the progressive probabilistic Hough transform to automatically infer lead positions and orientations...

Passive microwave sensors onboard satellites, such as SSMI or AMSR-E, can penetrate clouds and can monitor the global sea ice distribution on daily basis. However, since the footprint size of passive microwave sensors are rather large, approx. 38x30kmfor SSM/I 37GHz and approx.8x14km for ASMR-E 37GHz, extraction of sea ice thickness with passive microwave sensors is not easy. In this study, we ...

Snow water equivalent (SWE) is important for investigations of annual to decadal-scale changes in A and energy-water cycles. Passive microwave satellite-based retrieval algorithm estimates of SWE now sp three decades. SWE retrievals by the Advanced Microwave Scanning Radiometer for the Earth Ob (AMSR-E) onboard the NASA-Aqua satellite ended at October 2011. A critical parameter in the AM gorith...

This data article contains data related to the research article entitled "Global land cover classification based on microwave polarization and gradient ratio (MPGR)" [1] and "Microwave polarization and gradient ratio (MPGR) for global land surface phenology" [2]. This data article presents land surface characteristics and snow cover variation information from sensors like EOS Advanced Microwave...