A5071881975- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Rangeland and Wildlife Management
- Landslides and related hazards
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Economic and Environmental Valuation
- Rangeland Management and Livestock Ecology
- Tree Root and Stability Studies
- Wildlife Ecology and Conservation
- Fire Detection and Safety Systems
- Land Use and Ecosystem Services
- Animal Diversity and Health Studies
- Tree-ring climate responses
- Conservation, Biodiversity, and Resource Management
- Soil erosion and sediment transport
- Wildlife-Road Interactions and Conservation
- Agroforestry and silvopastoral systems
- Flood Risk Assessment and Management
- Disaster Management and Resilience
- Spatial and Panel Data Analysis
- Plant Ecology and Soil Science
KTH Royal Institute of Technology
2024-2025
Swedish University of Agricultural Sciences
2023
TU Dresden
2016-2020
Southern Africa experiences a great number of wildfires, but the dependence on low-resolution products to detect and quantify fires means both that there is time lag many small fire events are never identified. This particularly relevant in miombo woodlands, where frequent predominantly small. We developed cutting-edge deep-learning-based approach uses freely available Sentinel-2 data for near-real-time, high-resolution detection Mozambique. The importance main bands their derivatives was...
Despite recent progress in landslide susceptibility mapping, a holistic method is still needed to integrate and customize influential factors with the focus on forest regions. This study was accomplished test performance of geographic object-based random modeling protected non-protected forests landslides northeast Iran. Moreover, it investigated conditioning triggering that control these two areas landslides. After surveying events, segment objects were generated from Landsat 8...
Africa is entering a new fire paradigm, with climate change and increasing anthropogenic pressure shifting the patterns of frequency severity. Thus, it crucial to use available information technologies understand vegetation dynamics during post-fire recovery processes. The main objective this study was evaluate seasonal spatio-temporal trends in response fires across Africa, from 2001 2020. Non-parametric tests were used analyze MODIS Normalized Difference Vegetation Index (NDVI) products...
Intermittent fires in Northeast Iran the autumn of 2010 resulted burning some valuable forest habitats. The objective this study was to apply geographic information systems (GIS) determine what degree three key factors (environmental, climatic, and anthropogenic) influence severity rating these forests. fire sites were surveyed imported into GIS. burnt areas considered relation factors. Statistical functions used calculate effect at each site. Logistic stepwise regressions related factor....
Abstract This study aimed to examine deforestation and residential growth trends their spatial dependencies from 1972 2010 in Northeast of Iran. First, change rates forests areas were mapped using Landsat satellite images 1972–1987, 1987–2000 2000–2010. Then, the forest patterns interpreted univariate local Moran's I (local autocorrelation), autocorrelation between was tested through bivariate (bivariate autocorrelation). Furthermore, relationships quantified by ordinary least squares, lag...
Despite increasing efforts in the mapping of landslides using Sentinel-1 and -2, research on their combination for discerning historical forest areas is still lacking, particularly object-oriented machine learning approaches. This study was accomplished to test efficiency Sentinel-derived features digital elevation model (DEM) derivatives old new landslides, random forest. Two subsets were selected including a protected non-protected northeast Iran. Landslide samples obtained from CORONA...
Abstract Despite facilitating transport by low‐volume roads for multiple purposes, these also open corridors to the remote pristine forests and accelerate forest dynamics with deleterious consequences functionalities indigenous inhabitants. We assessed spatial variations of Hyrcanian loss, fragmentation, degradation resulting from expansion rural, logging, mine between 1966 2016 in northeast Iran. Various data were employed generate a precise road network; density segments was weighted on...
Wildfires are an intrinsic and vital driving factor in the Miombo ecosystem. Understanding fire regimes is crucial for its ecological sustainability. dominant Central Mozambique, having one of highest incidences country. This study evaluated spatio-temporal patterns (intensity, seasonality, frequency return interval) LevasFlor Forest Concession (LFC), Mozambique using remotely sensed data from 2001 to 2022. We conducted hotspot spatial statistics Getis-Ord Gi* method assess distribution...
Fires play a significant role in shaping the Miombo woodlands. Understanding how fire affects region’s resilience is crucial for ensuring its sustainability. This study evaluated plant composition and structure across different frequencies woodlands of LevasFlor Forest Concession (LFC), central Mozambique. Fire frequency clusters-high (HFF), moderate (MFF), low (LFF)-were identified using 21-year remote-sensing dataset. In each cluster, 90 random sampling plots were established (30 per...
Abstract Advanced MODIS data have provided diverse products for assessing and monitoring natural vegetation affected by droughts. Between 2000 2016, we estimated monthly precipitation anomalies in the deciduous forests semi‐steppe rangelands of northeastern Iran using kriging models, analyzed 16‐day greenness water content indices—including enhanced index, normalized difference index (NDVI), (NDWI). Vegetation showed high positive responses to interseasonal over 17‐year period, low deficits...