A5026481459- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Species Distribution and Climate Change
- Forest Ecology and Biodiversity Studies
- Ecology and Vegetation Dynamics Studies
- Forest Management and Policy
- Fire effects on ecosystems
- Land Use and Ecosystem Services
- Forest Insect Ecology and Management
- 3D Surveying and Cultural Heritage
- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Urban Heat Island Mitigation
- Forest Biomass Utilization and Management
- Conservation, Biodiversity, and Resource Management
- African Botany and Ecology Studies
- Remote Sensing and Land Use
- Tree-ring climate responses
- Geochemistry and Geologic Mapping
- Archaeological Research and Protection
- Cocoa and Sweet Potato Agronomy
- Leaf Properties and Growth Measurement
- Flood Risk Assessment and Management
- Remote-Sensing Image Classification
University of Würzburg
2016-2025
K.N.Toosi University of Technology
2018-2025
Université de Moncton
2024
Natural History Museum
2024
Harvard University Press
2024
University of Tehran
2021
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2013-2018
University of Freiburg
2010-2012
Islamic Azad University, Science and Research Branch
2012
University of Sopron
2010
In a mixed temperate forest landscape in southwestern Germany, multiple remote sensing variables from aerial orthoimages, Thematic Mapper data and small footprint light detection ranging (LiDAR) were used for plot-level nonparametric predictions of the total volume biomass using three distance measures Euclidean, Mahalanobis Most Similar Neighbour as well regression tree-based classifier (Random Forest). The performances nearest neighbour (NN) approaches examined by means relative bias root...
The generation of aerial and unmanned vehicle (UAV)-based 3D point clouds in forests their subsequent structural analysis, including tree delineation modeling, pose multiple technical challenges that are partly raised by the calibration non-metric cameras mounted on UAVs. We present a novel method to deal with this problem for forest structure analysis photogrammetric particularly areas complex textures varying levels canopy cover. Our proposed selects various subsets camera’s interior...
Estimating forest structural attributes is one of the essential forestry-related remote sensing applications. The methods applied so far typically concentrate on structure overstorey. For various conservation and management applications, however, information lower layers also great interest. Detecting understorey cover by challenging, as passive sensors do not penetrate to ground layer. An alternative these 3D metrics from active light detection ranging (LiDAR). Here, we evaluate this...
Wetlands are one of the most important ecosystems due to their critical services both humans and environment. Therefore, wetland mapping monitoring essential for conservation. In this regard, remote sensing offers efficient solutions availability cost-efficient archived images over different spatial scales. However, a lack sufficient consistent training samples at times is significant limitation multi-temporal monitoring. study, new sample migration method was developed identify unchanged be...
Agroforestry systems (AFS) offer viable solutions for climate change because of the aboveground biomass (AGB) that is maintained by tree component. Therefore, spatially explicit estimation their AGB crucial reporting emission reduction efforts, which can be enabled using remote sensing (RS) data and methods. However, multiple factors including spatial distributions within AFS, structure, composition, variable extents hinder an accurate RS-assisted across AFS. The aim this study to (i)...
The estimation of various forest inventory attributes from high spatial resolution airborne remote sensing data has been widely examined and proved to be successful at the experimental level. Nevertheless, operational use these in automated procedures support inventories management is still limited a small number cases. reasons for this are costs, availability over large areas resistance practitioners. In review main aim stimulate debate about spaceborne very stereo-imagery (VHRSI) as an...
The African protected area (PA) network has the potential to act as a set of functionally interconnected patches that conserve meta-populations mammal species, but individual PAs are vulnerable habitat change which may disrupt connectivity and increase extinction risk. Individual have different roles in maintaining connectivity, depending on their size location. We measured contribution (irreplaceability) for carnivores ungulates combined it with measure vulnerability based 30-year trend...
Abstract We report the results from modelling standing volume, above-ground biomass and stem count with aim of exploring potential two non-parametric approaches to estimate forest attributes. The models were built based on spectral 3D information extracted airborne optical laser scanner data. survey was completed across geographically adjacent temperate sites in southwestern Germany, using spatially temporally comparable remote-sensing data collected by similar instruments. Samples auxiliary...
Land-cover mapping (LCM) at a fine scale would be useful for forest management across heterogeneous natural landscapes. However, the heterogeneity of land covers such scales results in complex spectral and textural properties that hinder applicability LCM. Besides, method suffers from, e.g. inconsistent representation different land-cover types, lack sufficient balanced training samples, instability classifiers trained by high number predictor variables. Even well-known object-based...
We used a full remote sensing-based approach to assess plant species diversity in large and inaccessible areas affected by Lantana camara L., common invasive within the deciduous forests of Western Himalayan region India, using spectral heterogeneity information extracted from optical data. The spread L. was precisely mapped Pléiades 1A data, followed comparing 1A, RapidEye Landsat-8 OLI – assessed diversities invaded areas. single analysis improved 1A-based analysis, higher values were...