A5017474772- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Forest ecology and management
- Plant Ecology and Soil Science
- Heavy metals in environment
- Soil and Land Suitability Analysis
- Agricultural Science and Fertilization
- Geochemistry and Geologic Mapping
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
- Soil and Unsaturated Flow
- Plant Ecology and Taxonomy Studies
- Botany and Plant Ecology Studies
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Forest Management and Policy
- Plant Micronutrient Interactions and Effects
- Ecology and Vegetation Dynamics Studies
- Soil and Environmental Studies
- Hydrology and Watershed Management Studies
- Heavy Metals in Plants
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Heavy Metal Exposure and Toxicity
Gorgan University of Agricultural Sciences and Natural Resources
2015-2024
Shahrekord University
2008-2019
Ghent University
1997
Estimation of stand volume and tree density in a large area using remotely sensed data has considerable significance for sustainable management natural resources. In this paper, we explore likely relationships between forest characteristics Landsat Enhanced Thematic Mapper Plus (ETM+) reflectance values. We used multivariate regression technique to predict density. The result showed that linear combination greenness difference vegetation index (DVI) were better predictors (adjusted R2 = 43%;...
Aim of study: The objective the study was comparative assessment various spatial resolutions optical satellite imagery including Landsat-TM, ASTER, and Quickbird data to estimate forest structure attributes Hyrcanian forests, Golestan province, northernIran.Material methods: 112 square plots with area of0.09 ha were measured using a random cluster sampling method then stand volume, basal area, tree stem density computed data. After geometric atmospheric corrections images, spectral from...
Abstract Accurate estimation of total aboveground biomass (TAGB) is an important challenge in evaluating and monitoring tree biomass. Thus, developing species-specific allometric models essential. This study aimed to predict tree-level TAGB for Pinus brutia, pinea, Cupressus sempervirens, the species-independent case using most accurate models, conversion expansion factor (BCEF), mixed effect Golestan Province, Iran. The mean BCEFs three species were 0.46, 0.47, 0.86, respectively, there was...
Abstract Overfishing, exacerbated by illegal, unreported, and unregulated (IUU) fishing, is a serious threat to the conservation of Caspian sturgeon populations, exposing them brink extinction. This indicates importance investigating causes eliminating consequences occurrence IUU fishing. study aimed determine barriers conservation, evaluate variables involved in fishing southern Sea using field‐ questionnaire‐based surveys 520 Iranian fishers 40 fishery experts. Modelling data Logit...