A5019097158- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Ecosystem dynamics and resilience
- Forest ecology and management
- Computational Drug Discovery Methods
- Plant Water Relations and Carbon Dynamics
- Sustainability and Ecological Systems Analysis
- Forest Management and Policy
- Marine and environmental studies
- Ecology and Vegetation Dynamics Studies
- Fire effects on ecosystems
- Fire dynamics and safety research
- Thermal and Kinetic Analysis
- Chemical Thermodynamics and Molecular Structure
- Aeolian processes and effects
- Spatial and Panel Data Analysis
- Water-Energy-Food Nexus Studies
- Regional Economic and Spatial Analysis
- Insurance and Financial Risk Management
- Land Use and Management
- Soil and Land Suitability Analysis
- Coastal wetland ecosystem dynamics
- Earth Systems and Cosmic Evolution
- Process Optimization and Integration
Geological Survey of Finland
2024
University of Helsinki
2021-2024
Arcada University of Applied Sciences
2023
Swedish University of Agricultural Sciences
2023
Research Council of Finland
2023
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2023
Wuhan University
2023
Aalto University
2017-2020
Islamic Azad University Pharmaceutical Sciences Branch
2016
Islamic Azad University, Science and Research Branch
2016
Forests are critical in regulating climate by altering the Earth's surface albedo. Therefore, there is an urgent need to enhance our knowledge about effects of forest structure on Here, we present a global assessment links between and albedo at 1-km spatial resolution using generalized additive models (GAMs). We used remotely sensed data obtain variables representing structure, including density, leaf area index, tree cover, during peak growing season 2005 with pure pixels that cover ~7%...
The response of an ecosystem to external drivers may not always be gradual and reversible. Discontinuous sometimes irreversible changes, called ‘regime shifts’ or ‘critical transitions’, can occur. likelihood such shifts is expected increase for a variety ecosystems, it difficult predict how close critical transition. Recent modelling studies identified indicators impending regime that used provide early warning signals identification transitions crucially depends on the ability monitor key...
Forests are facing unprecedented stressors, evidenced by increases in the rate of forest mortality. Characterizing state ecosystems and their responses to disturbances remains a complex crucial task. Existing methodologies have rarely been evaluated real-world due challenges such as limitations data availability analytical techniques. To address these gaps, this study employs remotely sensed spatio-temporal identify early warning signals mortality using satellite imagery. Utilizing local...
Throughout Indonesia ecological degradation, agricultural expansion, and the digging of drainage canals has compromised integrity functioning peatland forests. Fragmented landscapes scrubland, cultivation, degraded forest, newly established plantations are then susceptible to extensive fires that recur each year. However, a comprehensive understanding all drivers fire distribution conditions initiation is still absent. Here we show first analysis in region encompasses wide range driving...
Generating signals of reduced resilience in ecosystems is crucial for conservation and management endeavors. However, the practical implications such systems are still limited due to lack high-frequency data uncertainties associated with predicting complex as ecosystems. This study aims investigate potential time series analysis remote sensing detecting mangrove forest Using images, forests was explored across two distinct sites. One site (Qeshm Island) has been adversely affected by...
Forest regeneration is a crucial strategy for mitigating and adapting to global warming. Yet its precise impact on local climate remains uncertain, factor that complicates decision-making when it comes prioritizing investments. Here, we developed maps illustrating how natural forest influences key drivers—land surface temperature (LST), albedo, evapotranspiration—using models fitted at 1-km spatial resolution with random classifier. We found can alter annual mean LST by 0.01 °C, −0.59 −0.50...
Flash point is one of the most widely used properties in risk assessment and safe design process industries. In current work, we have presented a novel accurate model to predict flash points pure organic compounds from diverse families. The proposed linear correlation between point, normal boiling 42 predefined functional groups constituting molecule. Evaluation through data set 1533 shows an average absolute deviation, relative error, coefficient 5.83, 1.61, 0.992, respectively. Comparing...
Land surface albedo is an important parameter affecting the climate locally and globally. A synthesis of current studies urgently calls for a better understanding impact change on albedo. The Middle East expected to experience major climatic changes during coming decades has already undergone losses in its vegetation cover. This study explores how related disturbances, such as severe drought fire events, influence trends largest remaining forest area East, Zagros Mountains. We analyzed time...
Satellite data provide the opportunity to explore different land surface properties, such as albedo (reflectivity) and forest structure, for multidisciplinary purposes. We estimated black-sky at shortwave, near-infrared visible spectral regions a fixed solar zenith angle (i.e., 38∘) during peak growing season in 2005 on global scale. In addition, we links between structure variables including density [the number of trees/km2], tree cover [percent], leaf area index [m2/m2] over pure pixels...
Detecting abrupt transitions in ecosystems, known as regime shifts, holds immense implications for conservation and management endeavors. This research aims to investigate the feasibility of developing an early warning system capable identifying upcoming critical transition within Mangrove Forest ecosystems. Employing a fusion remote sensing analysis, time series slowing down theory, Forests' state change was explored across two distinct study sites. One site has been adversely affected by...
Generating early warning signals of reduced resilience in ecosystems is crucial for conservation and management endeavors. However, the practical implications such signal systems are still limited by lack data uncertainties associated with predicting complex as ecosystems. This research aims to investigate feasibility developing an system capable identifying upcoming critical transition within mangrove forest Using time series analysis remote sensing images, forests was explored across two...
Climate-induced forest mortality poses an increasing threat worldwide, which calls for developing robust approaches to generate early warning signals of upcoming state change. This research explores the potential satellite imagery, utilizing advanced spatio-temporal indicators and methodologies, assess forests preceding events. Traditional approaches, such as techniques based on temporal analyses, are impacted by limitations related window size selection detrending methods, potentially...
Abstract Forests are essential for regulating the climate, enhancement of air quality, and preservation biodiversity. However, tree falls pose significant risks to infrastructure, particularly powerlines, leading widespread blackouts substantial damage. Traditional methods monitoring fall risks, such as field surveys, often costly, time-consuming, lack real-time capabilities. While airborne Light Detection Ranging (LiDAR) provides precise data it still faces challenges related frequency...
Abstract Ecosystems are under unprecedented pressures, reflected in rapid changes the regime of disturbances that may cause negative impacts on them. This highlights importance characterizing state an ecosystem and its response to disturbances, which is known as a notoriously difficult task. The state-of-the-art knowledge has been tested rarely real ecosystems for number reasons such mismatches between time scale processes data accessibility well weaknesses performance available methods....
ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to "A Modified Group Contribution Method for Accurate Prediction of Flash Points Pure Organic Compounds"A. Alibakhshi*†‡, H. Mirshahvalad§, and S. Alibakhshi∥†View Author Information† Young Researchers & Elite Club, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran∥ §Department Mechanical Engineering, West Tehran ∥Young Science Research Iran‡ Department Chemical...
ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to "A Modified Group Contribution Method for Accurate Prediction of Flash Points Pure Organic Compounds"A. Alibakhshi*†‡, H. Mirshahvalad§, and S. Alibakhshi∥View Author Information† Young Researchers & Elite Club, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran‡ Department Chemical Engineering, Amirkabir University Technology, Iran§ Mechanical West Tehran Iran∥...