A5070093007- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Species Distribution and Climate Change
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- Rural development and sustainability
- Conservation, Biodiversity, and Resource Management
- Ecology and Vegetation Dynamics Studies
- Remote Sensing and LiDAR Applications
- Agricultural and Environmental Management
- Identification and Quantification in Food
- History and advancements in chemistry
- Plant Water Relations and Carbon Dynamics
- Aquatic Ecosystems and Biodiversity
- Regional Development and Environment
- Soil Moisture and Remote Sensing
- Climate Change, Adaptation, Migration
- Plant and Fungal Species Descriptions
- Flood Risk Assessment and Management
- Geophysics and Gravity Measurements
- Forest Ecology and Conservation
- Hydropower, Displacement, Environmental Impact
- Ocean Waves and Remote Sensing
- Meteorological Phenomena and Simulations
- Vietnamese History and Culture Studies
University of Zurich
2022-2025
Swiss National Park
2023
Leiden University
2016-2022
Vietnam Academy of Science and Technology
2017
Altera (United States)
2016
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initially assumed positive correlation variations computed raster in environment, which would turn correlate with species richness: following SVH, areas characterized by high heterogeneity (SH) should be related higher number available ecological niches,...
In light of the ongoing global biodiversity crisis, urge to monitor and map terrestrial plant at large spatial extents has spurred research on adequate quantitative methods. The use spectral diversity metrics from different remote sensing platforms emerged as a promising tool for such assessments. Satellite presents next frontier implementation these methods assess with temporal continuity truly regional or scales. However, question what exactly is monitored by relatively coarse...
Large-scale high-resolution satellite observations of plant functional diversity patterns will greatly benefit our ability to study ecosystem functioning. Here, we demonstrate a potentially scalable approach that uses aggregate traits estimated from radiative transfer model (RTM) inversion Sentinel-2 images calculate community diversity. Trait retrieval relied on simulations and Look-up Tables (LUTs) generated by RTM rather than heavily depending priori field data data-driven statistical...
Deltas are highly valuable environmental systems, ensuring various livelihoods through their ecosystem services. However, human impact and climate change stressors impacting deltas immensely. Consequently, many deltas, including Ghana's Volta Delta, facing increasing risks, especially as hazards in magnitude coastal livelihoods. To provide a better understanding of the this study assessed Delta's subsidence regime its consequences for potential sea-level rise (SLR). Using Interferometric...
Remote sensing (RS) of biophysical variables plays a vital role in providing the information necessary for understanding spatio-temporal dynamics ecosystems. The hybrid approach to retrieve from RS by combining Machine Learning (ML) algorithms with surrogate data generated Radiative Transfer Models (RTM). susceptibility ill-posed solutions noise currently constrains further application approaches. Here, we explored how affects performance ML trait retrieval. We focused on synthetic...
Mangrove forests provide vital ecosystem services. The increasing threats to mangrove forest extent and fragmentation can be monitored from space. Accurate spatially explicit quantification of key vegetation characteristics mangroves, such as leaf area index (LAI), would further advance our monitoring efforts assess health functioning. Here, we investigated the potential radiative transfer models (RTM), combined with active learning (AL), estimate LAI Sentinel-2 spectral reflectance in...
Ecosystem services offered by mangrove forests are facing severe risks, particularly through land use change driven human development. Remote sensing has become a primary instrument to monitor the dynamics surrounding ecosystems. Where studies formerly relied on bi-temporal assessments of change, practical limitations concerning data-availability and processing power slowly disappearing with onset high-performance computing (HPC) cloud-computing services, such as in Google Earth Engine...
Abstract Over the last two decades, considerable research has built on remote sensing of spectral diversity to assess plant diversity. The variation hypothesis (SVH) proposes that spatial in reflectance data an area is positively associated with While SVH exhibited validity dense forests, it performs poorly highly fragmented and temporally dynamic agricultural landscapes covered mainly by grasslands. Such underperformance can be attributed mosaic-like structure human-dominated fields varying...
The complex relationship between human mobility and global climate change remains contested. In this viewpoint, the themes of mobility, adaptation are explored from a political ecology perspective. A framework in relation to is applied context Vietnam's Mekong Delta (MKD). Vietnamese government, popular media academic studies often present MKD dystopian ways which there sometimes no more place for poor landless farmers as direct result change. 2019 2020, faced one its most severe droughts...
Abstract Amid unprecedented biodiversity loss and water scarcity, calls for corporate responsibility are becoming louder have led to emerging non‐financial disclosure frameworks with demanding data needs. While the role of satellite remote sensing (RS) is highly anticipated address needs boost transparency, critical thought on what feasible how strategically integrate its insights ambitious lagging behind. To this, we propose applying a systems perspective represent complex, multi‐scale...
In Western Europe the fate of biodiversity is intimately linked to agricultural land use. A driving force behind decline gradual conversion Europe's traditional integrated rural landscapes nature and agriculture into monofunctional units production. With these developments, semi-natural landscape elements have increasingly disappeared from landscapes. growing body research, however, underlines importance habitats in for conservation, habitat connectivity, ecosystem services. On local scale,...
The advances in hyperspectral imaging sensors offer unprecedented levels of detail to detect subtle reflectance differences between targets study. This study assesses the spectral separability canopies common mangrove species Southern Vietnam using a large sample-set field measurements reflectance. Although data collection has been conducted under consistent calibration and stable geometric set-ups, spectroscopy deals with significant multitudinous environmental noises compared laboratory...
Technological advances in optical remote sensing, which measures the electromagnetic radiation reflected by an object at various wavelengths, allow for efficient and relatively inexpensive collection of baseline data related to biodiversity. In particular, spectral diversity—the variability remotely sensed reflectance obtained from plant communities—has emerged as a valuable proxy different facets biodiversity, such taxonomic, phylogenetic functional diversity. However,...
Global biodiversity losses erode the functioning of our vital ecosystems. Functional diversity is increasingly recognized as a critical link between and ecosystem functioning. Satellite earth observation was proposed to address current absence information on large-scale continuous patterns plant functional diversity. This study demonstrates inference spatial mapping metrics through satellite remote sensing over large key region (Sabah, Malaysian Borneo, ~53,000 km2) compares derived...
The coastline of the African Gulf Guinea hosts large river deltas, coastal wetlands and mangrove ecosystems. It is in places densely populated, with many capital megacities millions inhabitants such as Lagos, Abidjan Accra situated at coast. And population projections for these cities suggest a continued staggering increase coming decades. Also, economic activities are located along coastline. For example, Nigerian areas home to 85% nation industry more than 100 million people. On other...
Accurate retrieval of biophysical variables is crucial for characterizing properties (i.e. traits) plant canopies and capturing their spatiotemporal changes. Optical remote sensing offers the unique possibility frequent large-scale mapping due to strong associations between spectral data optical traits. One approach formally predict remotely based on hybrid retrieval. In this approach, a radiative transfer model (RTM) used simulate spectra training then machine learning regression utilized...