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...

Spatial information of forest structural variables is crucial for sustainable management planning, monitoring, and the assessment ecosystem productivity. We investigate a complex alpine located in Swiss National Park (SNP) apply empirical models to retrieve canopy closure, basal area, timber volume at plot scale. used imaging spectrometer (IS) data from Airborne Prism EXperiment (APEX) combination with in-situ measurements develop models. These are based on simple stepwise multiple...

Abstract Context Mapping the distribution of species, especially those that are endemic and endangered like certain tree is a vital step in effective planning execution conservation programs monitoring efforts. This task gains even more significance as it directly contributes to forest by highlighting importance species diversity. Objectives Our study objective was assess detection accuracy specific using different remote sensing sources approaches. Methods Initially, individual trees were...

The objective of this study is to evaluate the capability satellite imagery for estimation basal area in Northern Zagros Forests. data high resolution geometric (HRG) sensor SPOT-5 dated July 2005 were used. Investigation quality Satellite images shows that these have no radiometric distortion. Overlaying geocoded with digital topographic maps indicated precision. A number 319 circular plots (0.1 ha) established using systematic random method area. All trees having diameter at breast height...

We outline an approach combining airborne laser scanning (ALS) and imaging spectroscopy (IS) to quantify assess patterns of tree density (TD) forest productivity (FP) in a protected heterogeneous alpine the Swiss National Park (SNP). use ALS data local maxima (LM) predict TD, as well IS (Airborne Prism Experiment—APEX) empirical model estimate FP. investigate dependency TD FP on site related factors, particular surface exposition elevation. Based reference (i.e., 1598 trees measured 35 field...

Aboveground biomass (AGB) of terrestrial ecosystems is an important constraint global change and productivity models used to assess carbon stocks thus the contribution vegetated cycle. Although indispensable requirement for decision makers, coherent accurate estimates grassland forest AGB especially in complex environments are still lacking. In this study, we aim capability two strategies map a alpine ecosystem, i.e., using discrete as well continuous field (CF) mapping approach based on...

Satellite remote sensing may serve as an ideal technique to detect dust storms for high temporal and spatial scales. In this paper, we propose improved identification index (IDII) based on Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. The IDII algorithm was used monitor 129 storm events over the West Asia region from 2016 2018. Ground-based observations of synoptic stations, RGB images, Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Ozone Monitoring Instrument...

To evaluate the capability of IRS-P6 LISS-III data to be employed for monitoring pollarding forest areas in Northern Zagros, some parts pollarded forests located around Baneh city were selected as a case study area. The area was determined ground truth 3-year alternation period using global positioning system (GPS). Radiometric and geometric corrections applied image then pre-processed, 2 methods Spectral Rationing Principal Component Analysis (PCA). Likewise, multi-spectral bands fused with...

Abstract. In this study, the trend of vegetation dynamics in Kermanshah city assessed using NDVI MOD13Q1 product over time period 2000–2017. Based on series imagery pick phenology stage (maximum NDVI) identified, then dynamic was investigated Ordinary Least Square regression and Theil-Sen approaches. To generate a pixel-wise map, pixel-based also implemented. A non-parametric Mann-Kendall statistics approach used to examine statistically significant analysis. The mean maximum observed for...

Abstract. Accurate and reliable assessment of above-ground biomass (AGB) is important for the sustainable forest management, especially in Zagros forests, which a frangible ecosystem being threatened by anthropogenic factors as well climate change effects. This study presents new method AGB estimation demonstrates potential Sentinel-2 Multi-Spectral Instrument (MSI) data an alternative to other costly remotely sensed data, such hyperspectral LiDAR unapproachable regions. performance was...

Abstract. Obtaining information about forest attributes is essential for planning, monitoring, and management of forests. Due to the time cost consuming Tree Density (TD) using field measurements especially in vast remote areas, sensing techniques have gained more attention scientific community. Khyroud forest, a part Hyrcanian Iran, with high species biodiversity growing volume stock plays an important role carbon storage. The aim this study was assess capability Sentinel-2 data estimating...

Abstract. Dust storms are one of the common phenomena in arid and semi-arid regions which cause many economic environmental losses also affect human health. Therefore, it is necessary to be able detect dust storms. Several methods exist for monitoring, such as Ground-based measurements, satellite remote sensing, video surveillance, wireless sensors. Remote sensing technology provides wide coverage, high spectral temporal resolutions, even near real-time data, can offer a valuable data source...

Adequate assessment and management of landscape patterns processes need proper representation quantification gradients ecosystem biochemical structural properties. Discrete land cover mapping approaches represent landscapes as classified entities with "hard" boundaries. On the other hand, continuous field representations or parameters offer potential to overcome limitations that can often not reproduce full range variability surface This paper presents a concept generate fields (CF) maps in...

Quantitative attributes of forest stands are valuable data that very important for the evaluation resources. Regarding to unique structure Zagros forests, we tried predict tree density using SPOT5-HRG satellite in this study. A systematic random grid consisting 319 circle plots (0.1 ha) were used collect field data. Spectral values related extracted from original and artificial bands composed vegetation indices principle component analysis. Ancillary such as slope, aspect elevation also...

با توجه به ساختار منحصر به‌فرد جنگلهای زاگرس، در این مطالعه سعی شده تا استفاده از تصاویر ماهواره SPOT5-HRG، امکان برآورد تراکم درختان بخشی بانه مورد بررسی قرار گیرد. به‌منظور جمع‌آوری داده‌های زمینی یک شبکه آماربرداری به‌روش منظم نقطه شروع تصادفی، شامل312 قطعه نمونه دایره‌ای شکل 1/0 هکتاری عرصه پیاده شد. پس پردازش تصویر، ارزش‌های متناظر قطعات اصلی و باندهای حاصل شاخص‌های گیاهی مؤلفه‌های تجزیه اصلی، استخراج شدند. تحلیل رگرسیونی چندمتغیره روش گام رابطه بین مشخصه تعداد هکتار به‌عنوان متغیر...