A5040462554- Remote Sensing and LiDAR Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing in Agriculture
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Oil Palm Production and Sustainability
- Landslides and related hazards
- Cryospheric studies and observations
- Soil Geostatistics and Mapping
- Soil erosion and sediment transport
- Ecology and Vegetation Dynamics Studies
- Conservation, Biodiversity, and Resource Management
- Horticultural and Viticultural Research
- Rice Cultivation and Yield Improvement
- Remote Sensing and Land Use
- Agricultural risk and resilience
- Regional Economic and Spatial Analysis
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Spectroscopy and Chemometric Analyses
- Forest Ecology and Biodiversity Studies
- Smart Agriculture and AI
- Agricultural Economics and Practices
- Peatlands and Wetlands Ecology
- Land Use and Ecosystem Services
University of Twente
2021-2025
University of Göttingen
2018-2020
European Space Research and Technology Centre
2016-2017
Friedrich Schiller University Jena
2010-2016
Airbus (Italy)
2015
Airbus (Germany)
2014
Remote sensing is revolutionizing the way we study forests, and recent technological advances mean are now able - for first time to identify measure crown dimensions of individual trees from airborne imagery. Yet make full use these data quantifying forest carbon stocks dynamics, a new generation allometric tools which have tree height size at their centre needed. Here, compile global database 108753 stem diameter, diameter all been measured, including 2395 harvested aboveground biomass....
Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height crown size, underpin wide range ecological research-from developing testing theory on forest structure dynamics, to estimating carbon stocks their uncertainties, integrating remote sensing imagery into monitoring programmes. However, these data can be surprisingly hard come by, particularly for certain regions the world specific taxonomic groups, posing real barrier progress in fields. To overcome...
Information on crop phenology is essential when aiming to better understand the impacts of climate and change, management practices, environmental conditions agricultural production. Today's novel optical radar satellite data with increasing spatial temporal resolution provide great opportunities derive such information. However, so far, we largely lack methods that leverage this detailed information at field level. We here propose a method based dense time series from Sentinel-1,...
The expansion of the oil palm industry in Indonesia has improved livelihoods rural communities, but comes at cost biodiversity and ecosystem degradation. Here, we investigated ways to balance ecological economic outcomes cultivation. We compared a wide range production systems, including smallholder plantations, industrialized company estates, estates with agronomic management, native tree enrichment. Across all management types, assessed multiple indicators biodiversity, functions,...
Abstract Aim Tree crowns determine light interception, carbon and water exchange. Thus, understanding the factors causing tree crown allometry to vary at stand level matters greatly for development of future vegetation modelling calibration remote sensing products. Nevertheless, we know little about large‐scale variation determinants in tropical allometry. In this study, explored continental scaling exponents site‐specific assessed their relationships with environmental stand‐level variables...
In monoculture-dominated landscapes, recovering biodiversity is a priority, but effective restoration strategies have yet to be identified. this study, we experimentally tested passive and active recover taxonomic, phylogenetic, functional diversity of woody plants within 52 tree islands established in an oil palm landscape. Large higher initial planted catalyzed recovery, particularly at the landscape level. At local scale, results demonstrated that greater planting begets native recruits,...
Old-growth forests are essential for maintaining biodiversity, as they formed by the complexity of diverse forest structures, such broad variations in tree height and diameter (DBH) conditions living dead trees, leading to various ecological niches. However, many efforts old-growth mapping from LiDAR have targeted only one specific structure (e.g., stand height, basal area, or density) deriving information through a large number metrics. This study introduces novel approach identifying...
Purpose The application of Earth Observation (EO) science to sustainable development has become increasingly accessible. This is partly due an open movement concurrent with increased popularity both higher education partnerships and the concept Education for Sustainable Development (ESD). confluence these movements presents a unique capacity building opportunity: provide emerging professionals ability capitalize on EO data software, leveraging them across various thematic areas. purpose this...
While considerable research has focused on using either L-band or P-band SAR (Synthetic Aperture Radar) their own for forest biomass retrieval, the use of two bands simultaneously to improve retrieval remains less explored. In this paper, we make L- and airborne in situ data measured field together with laser scanning acquired over one hemi-boreal (Remningstorp) boreal (Krycklan) study area Sweden. We fit statistical models different combinations topographic-corrected backscatter heights...
This paper presents an analysis of a logarithmic relationship between P-band cross-polarized backscatter from synthetic aperture radar (SAR) and aboveground biomass (AGB) across different forest types based on multiple airborne datasets. It is found that the function provides statistically significant fit to observed HV AGB. While coefficient determination varies datasets, slopes, intercepts many models are not significantly different, especially when similar AGB ranges assessed. Pooled...
Abstract Tropical peat swamp forests (PSFs) are globally important carbon stores under threat. In Southeast Asia, 35% of peatlands had been drained and converted to plantations by 2010, much the remaining forest logged, contributing significantly global emissions. Yet, tropical have capacity regain biomass quickly on may grow faster in response soil aeration, so net effect humans remains poorly understood. this study, two lidar surveys (made 2011 2014) compared map dynamics across 96 km 2...
It was demonstrated in the past that radar data is useful to estimate aboveground biomass due their interferometric capability. Therefore, potential of a globally available TanDEM-X digital elevation model (DEM) investigated for estimation via canopy height models (CHMs) tropical peat swamp forest. However, CHMs based on X-band interferometers usually require external terrain models. High accurate are not global scale. an approach exclusively and decrease accuracy compared utilizing high...
Vegetation structural complexity is an important component of forest ecosystems, influencing biodiversity and functioning. Due to the heterogeneous distribution vegetation elements, underpins ecological dynamics, species composition, microclimate, habitat diversity. Field measurements Light Detection Ranging (LiDAR) data, such as airborne (ALS) terrestrial (TLS), can assess characteristics agroforestry systems at various spatial scales. This assessment urgently needed for monitoring...
Many Indonesian forests have been cleared and replaced by fast-growing cash crops (e.g., oil palm rubber plantations), altering the vegetation structure of entire regions. Complex provides habitat niches to a large number native species. Airborne laser scanning (ALS) can provide detailed three-dimensional information on structure. Here, we investigate potential ALS metrics highlight differences across gradient land-use management intensities in Sumatra, Indonesia. We focused tropical...
Abstract Vegetation canopy height is a relevant proxy for aboveground biomass, carbon stock, and biodiversity. Wall‐to‐wall information of with high spatial resolution accuracy not yet available on large scales. For the globally consistent TanDEM‐X data, simplifications are necessary to estimate semi‐empirical models based polarimetric synthetic aperture radar interferometry (PolInSAR). We trained sampled GEDI because assumptions behind application such always valid TanDEM‐X. General linear...
Abstract Despite advances in Earth observation and modeling, estimating tropical biomass remains a challenge. Recent work suggests that integrating satellite measurements of canopy height within ecosystem models is promising approach to infer biomass. We tested the feasibility this retrieve aboveground (AGB) at three forest sites by assimilating remotely sensed derived from texture analysis algorithm applied high‐resolution Pleiades imager Organizing Carbon Hydrology Dynamic Ecosystems...