This paper presents a new framework for object-based classification of high-resolution hyperspectral data. multi-step is based on multi-resolution segmentation (MRS) and Random Forest classifier (RFC) algorithms. The first step to determine weights the input features while using approach with MRS processing such images. Given high number features, an automatic method needed estimation this parameter. Moreover, we used Variable Importance (VI), one outputs RFC, importance each image band....

Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and correlated with characteristics, including plant growth, regeneration, biodiversity, light regimes, hydrological properties. Here, we present approach combining Sentinel-2 data, high-resolution aerial images, machine learning (ML) algorithms to model FCC in the Hyrcanian mixed temperate forest, Northern Iran. multispectral bands vegetation indices were used as variables for modeling mapping based on UAV...

Due to the challenges brought by field measurements estimate aboveground biomass (AGB), such as remote locations and difficulties in walking these areas, more accurate cost-effective methods are required, use of sensing. In this study, Sentinel-2 data were used for estimating AGB pure stands Carpinus betulus (L., common hornbeam) located Hyrcanian forests, northern Iran. For purpose, diameter at breast height (DBH) all trees thicker than 7.5 cm was measured 55 square plots (45 × 45 m). situ...

The tree species composition (TSC) reflects a forest's diversity and is relevant for forest planning, biodiversity conservation, resources management. Yet, accurate information on at landscape scale largely missing, especially mixed forests remote areas. One reason being that mapping time-consuming, costly, in Here we develop robust method TSC temperate forest. Based inventory plots considering the frequency of dominant dataset, five groups were defined: pure oriental beech, common hornbeam,...

Tree height and crown diameter are two common individual tree attributes that can be estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry structure motion. This research investigates the potential of low-cost UAV estimate diameter. Two successful flights were carried out in different seasons corresponding leaf-off leaf-on conditions generate a digital terrain model surface model, which further employed calculation canopy (CHM). The CHM was used using low pass local...

One of the cost factors in forest management is development road infrastructure. The objective study was to develop a method using GIS and Multi-criteria Evaluation (MCE) design network with lowest construction while maintaining other technical requirements. Six alternatives meeting requirements were developed PEGGER. Then MCE used evaluate costs candidate networks. decision making group identified six as being relevant roads. compared pair-wise comparison, context Analytic Hierarchy Process...

Spatio-temporal patterns of throughfall (TF) have often been studied under forest canopies. Few reports, however, made on small-scale TF variability in deciduous stands. In the present research, spatial heterogeneity and temporal stability five individual persian oak trees (Quercus brantii var. Persica) was quantified. The research site Zagros forests western Iran, where mean annual precipitation temperature are equal to 587.2 mm 16.9 °C, respectively. Data from 23 rainfall events were...

This study proposes a landscape metrics-based method for model performance evaluation of land change simulation models. To quantify at both and class levels, set composition- configuration-based metrics including number patches, area, shape index, mean patch area Euclidean nearest neighbour distance were employed. These provided detailed information on success cellular automata-Markov chain (CA-Markov) standpoint spatial arrangement the simulated map versus corresponding reference layer. As...

This study analyzed differences between actual and modelled fire predictions for two recent fires that affected the Golestan National Park in northeastern Iran. FARSITE FlamMap minimum travel time (MTT) modelling systems were used to compare spatial burned area observed fires. Then, variability spread behaviour related fuel types topography was analyzed. Comparison simulated perimeters showed a relatively good agreement. For both case studies, simulations performed with MTT algorithm...

Research Article| May 01, 2011 Siting Transfer Stations for Municipal Solid Waste Using a Spatial Multi-Criteria Analysis REZA RAFIEE; RAFIEE 1Department of Fishery, Faculty Marine Sciences, Chabahar Maritime University, Chabahar, Iran 1Corresponding author email: rzarafiee@yahoo.com. Search other works by this on: GSW Google Scholar NEMATOLAH KHORASANI; KHORASANI 2Department Environmental Science, Natural Resources, University Tehran, ABDOLRASSOUL SALMAN MAHINY; MAHINY 3Department Gorgan...

In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their combination was investigated for estimating aboveground biomass (AGB). A pure stand Fagus Orientalis located in Hyrcanian forest Iran selected as study area. The performance a parametric approach, i.e., Multiple Linear Regression (MLR) model non-parametric approaches, k-Nearest Neighbor (k-NN), Random Forest (RF), Support Vector (SVR), were also evaluated AGB estimations. Our results indicated that...

The importance of measuring forest biophysical properties for ecosystem health monitoring and management encourages researchers to find precise, yet low-cost methods especially in mountainous large areas. In the present study, geoscience laser altimeter system (GLAS) on board Ice, Cloud, land Elevation Satellite (ICESat) was used estimate three characteristics forests located north Iran: 1) maximum canopy height (H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the were originally developed. This study aims calibrate FARSITE fire spread model considering a set of recent wildfires occurred in northern Iranian forests. Site-specific fuel areas selected by sampling main natural vegetation type complexes assigning standard models. Overall, simulated fires presented reliable outputs...

Rice cultivated areas and yield information is indispensable for sustainable management economic policy making this strategic food crop. Introduction of high spectral special resolution satellite data has enabled production such in a timely accurate manner. Knowledge the reflectance various land covers prerequisite their identification study. Evaluation plants using field spectroradiometry provides possibility to identify map different rice varieties especially while hyperspectral remote...

Lorey's height, representative of mean height in uneven-aged forest stands, is a valuable parameter for ecosystem management. While situ measures provide the most precise information, remote-sensing techniques may less expensive but denser and more operational alternative estimation over highly mountainous areas. This research aims first to evaluate performances two nonparametric data mining methods, random (RF) artificial neural network (ANN), using ice, cloud land elevation...

Vegetation activity may be changed in response to climate variability by affecting seasonality and phenological events. Monitoring of land surface changes play a key role understanding feedback ecosystem dynamics. This study focuses on the analysis trends phenology derived parameters using normalized difference vegetation index time series based Global Inventory Mapping Studies data Hyrcanian forests Iran covering period 1981-2012. First, we applied interpolation for reconstruction order...