A5050567210- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Remote Sensing in Agriculture
- Landslides and related hazards
- Forest Ecology and Biodiversity Studies
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- 3D Surveying and Cultural Heritage
- Flood Risk Assessment and Management
- Wildlife Ecology and Conservation
- Conservation, Biodiversity, and Resource Management
- Forest Management and Policy
- Species Distribution and Climate Change
- Satellite Image Processing and Photogrammetry
- Forest Biomass Utilization and Management
- Soil erosion and sediment transport
- Plant Ecology and Soil Science
- Isotope Analysis in Ecology
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Tree Root and Stability Studies
- Botany and Plant Ecology Studies
- Fire effects on ecosystems
- Forest Insect Ecology and Management
- Animal Ecology and Behavior Studies
Transylvania University of Brașov
2016-2025
University of Wisconsin–Madison
2017-2020
Gheorghe Asachi Technical University of Iași
2016
Forest attributes, such as standing stock, diameter at breast height (DBH), tree height, and basal area, are critical for effective forest management; yet, traditional estimation methods remain labor-intensive often lack the spatial detail required contemporary decision-making. This study addresses these challenges by integrating machine learning algorithms with high-resolution remotely sensed data rigorously collected ground truth measurements to produce accurate, national-scale maps of...
Remote sensing data are important for assessing ecological change, but their value is often restricted by limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or Green Revolution not captured modern remote sensing. In present article, we highlight potential of globally available black-and-white satellite photographs to expand and conservation assessments back 1960s illuminate concepts shifting...
Climate-smart forestry is a sustainable forest management approach for increasing positive climate impacts on society. As climate-smart focusing more solutions that are resource-efficient and circular, digitalization plays an important role in its implementation. The article aimed to validate automatic workflow of processing 3D pointclouds produce digital twins every tree large 1-ha sample plots using GeoSLAM mobile LiDAR scanner VirtSilv AI platform. Specific objectives were test the...
Forest nationalization policies in developing countries have often led to a reduction local forest ownership rights and short- or long-term exploitative behaviors of stakeholders. The purpose this research is quantify the effect Iran’s Nationalization Law (FNL) part Zagros over 68-year time period (1955–2022) using 1955 historical aerial photos, 1968 Corona spy satellite photography, classification multi-temporal Landsat images. A past change detection technique was used identify extent...
Carbon storage and sequestration is one of the most important services provided by forest ecosystems, powerful tools for climate change mitigation adaptation. Its value not always captured appreciated at a fair level, with people taking granted these benefits ecosystems. Our first objective was to evaluate amount carbon within specific area—Retezat National Park (RNP), Romania, in timeframe, using mainly data from management plans. The second estimate economic sequestered ecosystems national...
High-conservation-value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories missing, such as in parts of Eastern Europe, these remain largely unacknowledged therefore often unprotected. We devised a novel, transferable approach detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), information current potential anthropogenic...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 73:97-110 (2017) - DOI: https://doi.org/10.3354/cr01452 Forests dynamics in montane–alpine boundary: a comparative study using satellite imagery and climate data Lucian Dinca1, Mihai Daniel Nita2,*, Annika Hofgaard3, Concepcion L. Alados4, Gabriele Broll5, Stelian Alexandru Borz2, Bogdan Wertz6, Antonio T. Monteiro7 1National...
Land cover is one of the key terrestrial variables used for monitoring and as input modelling in support achieving United Nations Strategical Development Goals. Global Continental Cover Products (GCLCs) aim to provide required harmonized information background across areas; thus, they are not being limited by national or other administrative nomenclature boundaries their production approaches. Moreover, increased spatial resolution, consequently local relevance, high importance users at a...
Agricultural expansion drives biodiversity loss globally, but impact assessments are biased towards recent time periods. This can lead to a gross underestimation of species declines in response habitat loss, especially when gradual and occur over long Using Cold War spy satellite images (Corona), we show that grassland keystone species, the bobak marmot ( Marmota ), continues respond agricultural happened more than 50 years ago. Although burrow densities today highest croplands, declined...
Dynamics of habitat conditions drive important changes in distribution and abundance animal species making monitoring an but also a challenging task when data from the past are scarce. We compared ant mounds 1960s with recent inventories (2018), looking at canopy cover over time, managed forest. Both historical sources information were used. Habitat suitability present was determined using Normalized Difference Vegetation Index (NDVI) image as proxy for stand cover. The NDVI product obtained...
Post-WWII displacements in the Polish Carpathians resulted widespread land abandonment. Most of pre-war agricultural areas are now covered with secondary forests, which will soon reach felling age. Mapping their exact cover is crucial to investigate succession–regeneration processes and determine role landscape, before making management decisions. Our goal was map post-agricultural forests Eastern using archival remote sensing data, assess connectivity pre-displacement forests. We used...
Kakamega National Forest Reserve is a tropical forest ecosystem at high risk of irreplaceable biodiversity loss due to persistent human-induced pressures. The aim this paper assess the effect fragmentation and cover on ecosystems in Reserve, with objectives: (1) quantify analyse (2) spatial distribution different timescales. Hansen global change data was used as an input training dataset Google Earth Engine platform (GEE) estimate area by aggregating sum pixel values, provide time series...
In mountainous or hilly areas, the slope aspect affects amount of solar radiation, with direct consequences on species distribution and tree growth. However, little is known how shape volume allometry may be affected by contrasting environmental conditions driven aspect. This study aims to investigate whether aboveground European beech (Fagus sylvatica L.) trees. We used data scanned trees from two plots located south- respectively north-facing slopes and, additionally, an inventory dataset...
Accurate estimation of Digital Elevation Models (DEMs) derived from satellite data is critical for numerous environmental applications. This study evaluates the accuracy and reliability two satellite-derived elevation models, ALOS World 3D SRTM DEMs, specifically their application in hydrological modeling. A comparative analysis with Terrestrial Laser Scanning (TLS) measurements assessed agreement between these datasets. Results indicate significant correlations DEMs TLS measurements,...
Global forests face increasing threats from deforestation, biodiversity loss, and climate change, necessitating innovative tools for effective monitoring management. Traditional forest methods, which rely heavily on manual fieldwork labor-intensive data processing, are often inadequate addressing the scale complexity of these challenges. Advanced leveraging artificial intelligence (AI) remote sensing have emerged as critical solutions, offering timely, accurate, actionable insights to enable...
Terrestrial laser scanning (TLS) has quickly gained momentum in forestry as a fast and nondestructive alternative to determine tree shape volume. Determining volume is fundamental for wide range of applications, including the estimation carbon stock development biomass allometric models. However, are often determined from TLS data based on different available algorithms, with direct implications measured feature. In this study we compared several algorithms reconstruction data, respect their...