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The forest canopy vertical structure, understory spatial distribution as well as bare soil ground under a forest canopy strongly affect the accuracy of retrieving leaf area index (LAI) using optical remotely sensed data. Combining the reflectance from two different view directions and geometric optical (GO) radiative model, we investigated the effects of background information on retrieving forest...
Leaf area index (LAI) is an important biophysical vegetation variable in many models describing vegetation atmosphere interactions. This study presents a method to assimilation leaf area index(LAI) obtained by a simple downscaling technique into the World Food Studies(WOFOST) to improve simulation LAI in time series in plateau grasslands located in northeast of Qinghai province, China. Using the Sobol'...
In recent years, under the action of multiple stress factors, such as global change, ecological function decay, extensive production, natural disasters and sudden environmental events are showing a rising trend , the ecological high-risk characteristics which is an inevitable process of industrialization is initially apparent in our country. So that, based on the analysis of regional ecological carrying...
Leaf area index (LAI) is very used to reveal the vegetation situation. To estimate the LAI for cereal, both direct and indirect methods have been used. In particular, remote sensing is a fast and reliable technique to develop the LAI estimation models. In this work, we present the potential of Sentinel 1 images for cereal estimation LAI in the center of Tunisia under semi arid climate. We established...
Sensitivity analysis (SA) is an effective tool for studying the crop model; it is an important link in model localization, and plays an important role in correction and application of crop model. In this study, the field experiment was conducted during the 2013/2014 growing seasons of winter wheat, and the EFAST GSA method was used to examine the above ground dry biomass and grain yield output sensitivity...
Gap fraction (GF) and clumping index (CI) play key roles in plant light interception, and therefore they have strong impacts on plant growth and canopy radiative transfer processes. On the one hand, in the field of remote sensing, leaves were often assumed to be randomly distributed in tree crowns in previous researches. While this assumption is not correct for many forest canopies, especially for...
Fast exploitation of fossil fuel and climate change because of emissions are acknowledged as a serious threat to the society that brings a call to researchers for renewable resources which become the need of the hour. The availability of 500 million metric tons of biomass per year in India makes it an inevitable option of energy which requires planning for opulence and environmental security of the...
Based on the material flow theory and comprehensive logistics theory, this paper analyzes the sustainable development principle of comprehensive logistics, and then establish the ESN-DSR structural model of logistics enterprise sustainable comprehensive logistics based on DSR model. On this basis, the paper puts forward the index system of logistics enterprise comprehensive logistics index, and carries...
In recent years, the destruction of the ecological environment caused by modern logistics is becoming more and more serious, many countries and regions have put forward different measures of energy saving and emission reduction. The sustainable development of the logistics industry has become the inevitable requirement of the economic development of all countries. Logistics related indexes in analyzing...
The fraction of absorbed photosynthetically active radiation (FPAR) is an important biophysical variable, and is widely used in satellite-based production efficiency models to estimate GPP or net primary production. To the forest, the vegetation canopy is composed primarily of photosynthetically active vegetation (PAV) and non-photosynthetic vegetation (NPV). But only the PAR absorbed by PAV is used...
This paper firstly created an evaluation index system of coastline resource, and then, in light of optimal allocation of resource, proposed an evaluation index system of intensive coastline utilization. Moreover, in the context of remote sensing images (SPOT) analysis and field survey, two multi-factor evaluation models, coastline resource evaluation model and intensive coastline utilization evaluation...
In coastal semi-enclosed basins the knowledge about cleaning capacity of the system, related to the water transport and dilution process, can be crucial to decision makers in order of an aware management. This work aims to investigate the three-dimensional character of these transport time scales in the Taranto Seas (Apulia, Italy), through the application of a finite elements numerical model SHYFEM...
Iron and steel industry is a major industrial waste emitter in China, which is of the basis, potential and practical significance to construct reverse supply chain system owing to the higher recycling value of waste iron and steel. With the theory of reverse supply chain coordination management and comprehensive performance evaluation of circular economy, this paper study the internal and external...
Numerous novel biomarkers are being considered as tools to enhance cardiovascular risk estimation. Statistical models can indicate how a biomarker influences movements between health states, and clinicians are interested in the impact they may have compared to traditional risk factors alone. Net reclassification indices (NRIs) have recently become popular statistics for measuring the prediction increment...
Carbon products, growth trend, volume, stress and annual products of vegetation, especially perennial vegetation canopy is very important for forestry, ecology and economics. Leaf Area Index (LAI) is an important parameter to observe and determine these parameters. It can be defined as the upward looking green leaf area to ground area ratio. There are direct and indirect methods to determine this...
This paper presents the implementation and evaluation of control strategies for wastewater treatment plants. The study was carried out using the platform Benchmark Simulation Model No. 2 (BSM2) and is conceived plant wide by introducing as a distinctive feature the structuring of the plant on: a water line and a sludge line, the two operating lines being interdependent but at the same time influencing...
The study applied the Theory of Planned Behavior (TPB) model to predict high school students' intentions to use bioenergy in India. TPB is one of the most widely cited and applied theories in explaining human behaviors in environmental matters. In the TPB model, intention to act is primarily determined by three psychological constructs: Attitude towards the behavior, Subjective Norm (SN) and Perceived...
Digital phantoms are vital for various biomedical researches. Traditional phantoms include theoretical models and voxel models reconstructed from medical images. It has been demonstrated that the homogeneous phantom filled with uniform tissue is accurate enough for wearable antenna design, body-centric channel modeling, etc. Therefore, it is interesting and necessary to investigate the novel approach...
A bibliometric analysis to evaluate global scientific production on R&D in the Energy sector between 1956 and 2014 was carried out and is based on Journal Citation Reports (JCR) published by the Institute of Scientific Information (ISI). Data were based on the Web of Science (Science Citation Index) database compiled by Thomson Reuters. In total, 229 articles were analyzed. The results showed...
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