A5064459178- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Soil Moisture and Remote Sensing
- Cell Image Analysis Techniques
- Impact of Light on Environment and Health
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
- AI in cancer detection
- Ecology and Vegetation Dynamics Studies
- Research Data Management Practices
- Climate variability and models
- Image Retrieval and Classification Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Calibration and Measurement Techniques
- Soil Geostatistics and Mapping
- Climate change and permafrost
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- Medical Image Segmentation Techniques
- Wikis in Education and Collaboration
University of New Hampshire
2012-2024
University of New Hampshire at Manchester
2014
Vegetation phenology controls the seasonality of many ecosystem processes, as well numerous biosphere-atmosphere feedbacks. Phenology is also highly sensitive to climate change and variability. Here we present a series datasets, together consisting almost 750 years observations, characterizing vegetation in diverse ecosystems across North America. Our data are derived from conventional, visible-wavelength, automated digital camera imagery collected through PhenoCam network. For each archived...
Abstract Phenology is a first‐order control on productivity and mediates the biophysical environment by altering albedo, surface roughness length evapotranspiration. Accurate transparent modelling of vegetation phenology therefore key in understanding feedbacks between biosphere climate system. Here, we present phenor r package framework. The framework leverages measurements from four common observation datasets, PhenoCam network, USA National Network ( ‐ NPN ), Pan European Project PEP...
Urban population now exceeds rural globally, and 60–80% of global energy consumption by households, businesses, transportation, industry occurs in urban areas. There is growing evidence that built-up infrastructure contributes to carbon emissions inertia, investments today have delayed climate cost the future. Although United Nations statistics include data on country select agglomerations, there are no empirical for a large sample cities. Here we present first study examine changes...
Abstract Monitoring vegetation phenology is critical for quantifying climate change impacts on ecosystems. We present an extensive dataset of 1783 site-years phenological data derived from PhenoCam network imagery 393 digital cameras, situated tropics to tundra across a wide range plant functional types, biomes, and climates. Most cameras are located in North America. Every half hour, upload images the server. Images displayed near-real time provisional products, including timeseries Green...
Abstract We present a new study examining the dynamics of global urban building growth rates over past three decades. By combining datasets for 1,550+ cities from several space-borne sensors—data scatterometers and settlement-built fraction based on Landsat-derived data—we find profound shifts in how expanded 1990s to 2010s. Cities had both increasing fractional cover microwave backscatter (correlating with volume), but decades, decreased most regions large cities, while increased...
Phenology is a valuable diagnostic of ecosystem health, and has applications to environmental monitoring management. Here, we conduct an intercomparison analysis using phenological transition dates derived from near-surface PhenoCam imagery MODIS satellite remote sensing. We used approximately 600 site-years data, 128 camera sites covering wide range vegetation types climate zones. During both "greenness rising" falling" phases, found generally good agreement between for agricultural,...
Abstract Vegetation phenology is a key control on water, energy, and carbon fluxes in terrestrial ecosystems. Because vegetation canopies are heterogeneous, spatially explicit information related to seasonality activity provides valuable for studies that use eddy covariance measurements study ecosystem function land-atmosphere interactions. Here we present land surface (LSP) dataset derived at 3 m spatial resolution from PlanetScope imagery across range of plant functional types climates...
Abstract. Vegetation phenology plays a significant role in driving seasonal patterns land-atmosphere interactions and ecosystem productivity, is key factor to consider when modeling or investigating ecological land-surface dynamics. To integrate research ultimately requires the application of carefully curated quality controlled phenological datasets that span multiple years include wide range different ecosystems plant functional types. By using digital cameras record images canopies every...
Phenology, or the seasonality of recurring biological events such as vegetation canopy development and senescence, is a primary constraint on global carbon, water energy cycles. We analyzed multiseason Ku‐band radar backscatter measurements from SeaWinds‐on‐QuikSCAT scatterometer to determine phenology growing season dynamics 2000 2002 at 27 sites representing major land cover classes regionally across most North America. compared these results with similar information derived MODIS leaf...
Abstract Projected changes in temperature and precipitation are expected to influence spring autumn vegetation phenology hence the length of growing season many ecosystems. However, sensitivity green‐up senescence climate remains uncertain. We analyzed 488 site years canopy greenness measurements from deciduous forest broadleaf forests across North America. found that anomalies increases with increasing mean annual temperature, suggesting lower as we move higher latitudes. Furthermore, is...
Most mapped urban information is essentially two-dimensional, e.g., areal extent by cover type. There a gap in knowledge about patterns and changes of built-up volumes development intensity globally. Here we use new dataset global microwave backscatter for 1993–2020 to explore this third dimension growth across 477 large cities. Our results show that correlates with an independent estimate building volume 8000+ grid cells (0.05° lat/lon) cities China, Europe, the U.S.A. Regional rates...
We analyzed 2000–2004 growing‐season SeaWinds Ku‐band microwave backscatter and MODIS leaf area index (LAI) data over North America. Large anomalies in mid‐growing‐season mean LAI, relative to 5‐year values, occurred primarily the western Great Plains; LAI had similar spatial patterns across this region. Backscatter time series for three ∼10 3 km 2 regions Plains were strongly correlated (r ∼ 0.6–0.8), variability mid‐growing season values was well‐correlated with annual precipitation...
We analyzed the 10-year record (1999-2009) of SeaWinds Ku-band microwave backscatter from humid tropical forest regions in South America, Africa, and Indonesia/Malaysia. While was relatively stable across much region, it declined by 1-2 dB areas known large-scale deforestation, increased up to secondary or plantation growth major metropolitan areas. The reduction over 142 18.5 km × blocks correlated with gross cover loss (as determined Landsat data analysis) (R = -0.78); this correlation...
Abstract Urban settlements are rapidly growing outward and upward, with consequences for resource use, greenhouse gas emissions, ecosystem public health, but rates of change uneven around the world. Understanding trajectories predicting global urban expansion requires quantifying consistent, well-calibrated data. Microwave backscatter data provides important information on upward growth – essentially vertical built-up area. We developed a multi-sensor, multi-decadal, gridded (0.05° lat/lon)...
Amazonia has experienced large-scale regional droughts that affect forest productivity and biomass stocks. Space-borne remote sensing provides basin-wide data on impacts of meteorological anomalies, an important complement to relatively limited ground observations across the Amazon's vast humid tropical forests. Morning overpass QuikScat Ku-band microwave backscatter from canopy was anomalously low during 2005 drought, relative full instrument record 1999-2009, morning persisted for...