A5026944441- Soil Moisture and Remote Sensing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Cryospheric studies and observations
- Heavy metals in environment
- Precipitation Measurement and Analysis
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Mining and Resource Management
- Environmental Justice and Health Disparities
- Geophysics and Gravity Measurements
- Identification and Quantification in Food
- Climate variability and models
- Energy and Environment Impacts
- Environmental Toxicology and Ecotoxicology
- Conservation, Biodiversity, and Resource Management
- Radioactivity and Radon Measurements
- Environmental remediation with nanomaterials
- Climate change and permafrost
- Toxic Organic Pollutants Impact
- Water Quality Monitoring Technologies
- Soil erosion and sediment transport
- Arctic and Antarctic ice dynamics
- Marine and fisheries research
Cranfield University
2014-2019
Abstract The need to provide accurate estimates of precipitation over catchments in the Hindu Kush, Karakoram, and Himalaya mountain ranges for hydrological water resource systems assessments is widely recognized, as identifying extremes assessing hydro‐meteorological hazards. Here, we investigate ability bias‐corrected Weather Research Forecasting model output at 5‐km grid spacing reproduce spatiotemporal variability Beas Sutlej river basins Himalaya, measured by 44 stations spread period...
Integration of methods based on satellite remote sensing into current maritime monitoring strategies could help tackle the problem global overfishing. Operational software is now available to perform vessel detection imagery, but research classification has mainly focused bulk carriers, container ships, and oil tankers, using high-resolution commercial Synthetic Aperture Radar (SAR) imagery. Here, we present a method Random Forest (RF) distinguish fishing non-fishing vessels, apply it an...
Abstract. Soil Moisture is a key variable in hydrology, weather and climate modelling. Research has been directed to the estimation of soil moisture over wide areas through combination modelling, in-situ measurement remote sensing improve accuracy hydrological meteorological forecasting. For monitoring controlling irrigation other agricultural purposes, there also need capture local variability. Significant differences are observed between within fields due land use, properties, drainage,...
Tea is an important cash crop in Kenya, grown a climatically restricted geographic area where climatic variability starting to affect yield productivity levels. This paper assesses the feasibility of monitoring tea growth between, but also within fields, using X-band COSMO-SkyMed SAR images (five at VV polarization and five HH polarization). We detect harvested nonharvested areas for each field, based on loss interferometric coherence between two images, with accuracy 52% 74% polarization....