A5068825926- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Hydrology and Drought Analysis
- Remote Sensing and Land Use
- Plant Water Relations and Carbon Dynamics
- Flood Risk Assessment and Management
- Soil Geostatistics and Mapping
- Hydrology and Watershed Management Studies
- Urban Design and Spatial Analysis
- Urban Green Space and Health
- Climate variability and models
- Solar Radiation and Photovoltaics
- Geochemistry and Geologic Mapping
- Landslides and related hazards
- Meteorological Phenomena and Simulations
- Housing Market and Economics
- Geophysics and Gravity Measurements
- Hydrology and Sediment Transport Processes
- Soil and Land Suitability Analysis
- Spectroscopy and Chemometric Analyses
- Soil erosion and sediment transport
- Metabolomics and Mass Spectrometry Studies
- Spatial and Panel Data Analysis
- Time Series Analysis and Forecasting
Tarbiat Modares University
2016-2025
Heidelberg University
2013-2015
Historical exploration of flash flood events and producing flash-flood susceptibility maps are crucial steps for decision makers in disaster management. In this article, classification regression tree (CART) methodology its ensemble models random forest (RF), boosted trees (BRT) extreme gradient boosting (XGBoost) were implemented to create a map the Bâsca Chiojdului River Basin, one areas Romania that is constantly exposed floods. The torrential including 962 delineated from orthophotomaps...
Mapping the distribution and type of land use cover (LULC) is essential for watershed management. The Tigris-Euphrates basin a transboundary region in Middle East shared between six countries, but recent fine-scale LULC map area lacking. Using Landsat-8 time series, 30-m resolution was produced basin. In total, 1184 Landsat scenes were processed within Google Earth Engine (GEE). For collection ground truth data, differential manifestations green considered by dividing study into five...
Drought is a slow-onset phenomenon driven by the lack of precipitation, affecting performance plants and functionality terrestrial ecosystems. In addition to length severity drought, period it takes for return normal conditions critical. Remote sensing data with appropriate spatial temporal coverage facilitates monitoring drought its consequences on local global scales. This study investigated influence duration recovery (DRP) different land use cover (LULC) types in Iran. The moderate...
This study evaluates the effects of cellular automata (CA) with different neighborhood sizes on predictive performance Land Transformation Model (LTM). Landsat images were used to extract urban footprints and driving forces behind growth seen for metropolitan areas Tehran Isfahan in Iran. LTM, which uses a back-propagation neural network, was applied investigate relationships between associated drivers, create transition probability map. To simulate growth, following two approaches...
Spatial variation of Urban Land Surface Temperature (ULST) is a complex function environmental, climatic, and anthropogenic factors. It thus requires specific techniques to quantify this phenomenon its influencing In study, four models, Random Forest (RF), Generalized Additive Model (GAM), Boosted Regression Tree (BRT), Support Vector Machine (SVM), are calibrated simulate the ULST based on independent factors, i.e., land use/land cover (LULC), solar radiation, altitude, aspect, distance...
Soil texture is an important property that controls the mobility of water and nutrients in soil. This study examined capability machine learning (ML) models estimating soil fractions using different combinations remotely sensed data from Sentinel-1 (S1), Sentinel-2 (S2), terrain-derived covariates (TDC) across two contrasting agroecological regions Southwest Germany, Kraichgau Swabian Alb. Importantly, we tested predictive power three ML models: random forest (RF), support vector (SVM),...