A5050229976- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Climate change and permafrost
- Landslides and related hazards
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Arctic and Antarctic ice dynamics
- Precipitation Measurement and Analysis
- Forest ecology and management
- Advanced SAR Imaging Techniques
- Geophysics and Gravity Measurements
- Planetary Science and Exploration
- Geophysical Methods and Applications
- Microwave Imaging and Scattering Analysis
- Ocean Waves and Remote Sensing
- Electromagnetic Scattering and Analysis
- Soil erosion and sediment transport
- Terahertz technology and applications
- Spectroscopy and Laser Applications
- Meteorological Phenomena and Simulations
- Smart Agriculture and AI
- Spacecraft Design and Technology
- Calibration and Measurement Techniques
University of Massachusetts Amherst
2016-2025
University of Massachusetts Boston
2025
Amherst College
2017-2023
Indian Institute of Technology Bombay
2023
Knowles (United States)
2021
Marcus (United States)
2019
Jet Propulsion Laboratory
1998-2017
California Institute of Technology
2000-2007
University of Michigan
1995-2002
Goddard Space Flight Center
1993
This paper describes the estimation of parameters characterizing vertical structure vegetated land surfaces, from combined interferometric and polarimetric radar data. Physical models expressing observations in terms describing surfaces are foundation for parameter techniques. Defining a general complex cross correlation enables unified development interferometry polarimetry, including interferometry. Three simple physical this express vegetation parameters: (1) randomly oriented volume, (2)...
A three-step process is presented for estimation of forest biophysical properties from orbital polarimetric SAR data. Simple direct retrieval total aboveground biomass shown to be ill-posed unless the effects structure are explicitly taken into account. The first involves classification by (1) using data classify terrain on basis structural categories or (2) a priori vegetation type some other basis. Next, at L- and C-bands used estimate basal area, height dry crown forested areas....
Accurate spatio-temporal information about rice growth is an important factor for agronomic management and regional grain yield estimation. In this letter, a unified framework monitoring mapping of using dense time-series Sentinel-1 synthetic aperture radar (SAR) images proposed. A processing chain such developed with the Google Earth Engine's cloud computing platform. analysis backscatter response different practices analyzed. Subsequently, early late transplanted classified clustering...
Abstract. Seasonal snow cover is the largest single component of cryosphere in areal extent, covering an average 46 × 106 km2 Earth's surface (31 % land area) each year, and thus important expression driver climate. In recent years, Northern Hemisphere spring has been declining at about same rate (∼ −13 per decade) as Arctic summer sea ice. More than one-sixth world's population relies on seasonal snowpack glaciers for a water supply that likely to decrease this century. Snow also critical...
A design constraint traceable to the early days of spaceborne synthetic aperture radar (SAR) is known as minimum antenna area for SAR. In this paper, it confirmed that strictly applies only case in which both best possible resolution and widest swath are goals. SAR antennas with smaller than allows shown be possible, have been used on missions past, should permit further, lower-cost future.
Abstract Soil moisture dynamics in the presence of dense vegetation canopies are determinants ecosystem function and biogeochemical cycles, but capability existing spaceborne sensors to support reliable useful estimates is not known. New results from a recently initiated field experiment northeast United States show that National Aeronautics Space Administration (NASA) SMAP (Soil Moisture Active Passive) satellite capable retrieving soil under temperate forest canopies. We present an...
For northern countries like Canada, seasonal snow cover is a key component of the water cycle and commodity high importance to public safety, economic sustainability, ecosystem function. Despite this importance, equivalent (SWE - amount stored by snow) information from existing surface observing networks satellite data does not adequately address most user needs. To gap, new synthetic aperture radar (SAR) mission capable providing on terrestrial SWE at previously unrealized spatial...
Accurate measurements of agricultural land cover are important for monitoring global food security, economic stability, and environmental conditions. Since significant portions frequently cloud covered, synthetic aperture radar (SAR) has been shown to be a reliable form gathering crop measurements, even in regions where acquiring clear optical imagery is challenging. In this work, repeat coverage from the C-band Sentinel-1 satellite over portion North Dakota used classify individual...
This paper describes a novel, simple and efficient approach to estimate forest height over wide region utilizing spaceborne repeat-pass InSAR correlation magnitude data at L-band. We start from semi-empirical modification of the RVoG model that characterizes with large temporal baselines (e.g., 46 days for ALOS) by taking account change effect dielectric fluctuation random motion scatterers. By assuming (1) parameters backscatter profile/extinction coefficient follow some mean behavior...
Abstract. This paper presents a global-to-local fusion approach combining spaceborne Synthetic Aperture Radar (SAR) Interferometry (InSAR) and LiDAR to create large-scale mosaics of forest stand height. The height estimates are derived based on semi-empirical InSAR scattering model, which links the repeat-pass coherence magnitudes. sparsely yet extensively distributed samples provided by Global Ecosystem Dynamics Investigation (GEDI) mission enable parametrization signal model at finer...
Forests are one of the most essential components Earth system. They account for a large part total global photosynthetic activity, store significant amount carbon, and provide habitat countless species. At same time, they offer critical resources to anthropogenic activities, such as timber, food, firewood. Soil moisture (SM) plays pivotal role in processes governing all these functions. Low-frequency remote sensing is only way acquire spatial distribution forest SM because its ability carry...
The ability to discern malignant from benign tissue in excised human breast specimens Breast Conservation Surgery (BCS) was evaluated using single frequency terahertz radiation. Terahertz (THz) images of the reflection mode were obtained by employing a gas laser source and mechanical scanning. correlated with optical histological micrographs same specimens, mean discrimination 73% found for five out six samples Receiver Operating Characteristic (ROC) analysis. system design characterization...
Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding change. Although data from field studies can be aggregated to estimate carbon stocks on scales, the sparsity such data, temporal heterogeneity methodological variations introduce large errors. Remote sensing measurements spaceborne sensors a realistic alternative accounting; however, uncertainty is not well known remains an active area research. This article describes effort...