Table of Content

28 June 2021, Issue 3

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Integrated Management and Administration

The Discussion of Investigation Technology for Village Green Coverage Rate

TAO Jixing, DAI Jinsong, ZHANG Guojiang, TAO Qijia

2021,(3):  1-8.  doi:10.13466/j.cnki.lyzygl.2021.03.001

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With the continuous advancement of the rural revitalization strategy,how to accurately investigate and check the green coverage rate of the village has become an increasingly urgent task,which must unify the definition of the village range and the content of the green areas in terms of methods and standards.In this paper,5 counties and 25 villages were selected in Zhejiang Province to conduct a pilot study.The results indicated:a range of 100 meters outside the outline of the village would be a suitable land area for the village,the trees (forests and sporadic trees),park green land,tree nursery,shrub coverage areas would be the appropriate content of green areas.The plain areas should be treated differently,and its target value of green coverage rate should be appropriately reduced.

Institutional Thinking on Improving the Effectiveness of Forestry Resources Supervision

GUO Julan, GAO Ri, CHAI Qizhen, GAO Shangren

2021,(3):  9-13.  doi:10.13466/j.cnki.lyzygl.2021.03.002

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The development of forestry resources protection system in China has more macroscopic guidance and less microcosmic norms.Ecological compensation for forestry resources is excessively dependent on the role of the government.In the practice of ecological restoration,there is a lack of necessary and specific institutional support as well as norms and regulations for the realization of market approaches.This paper analyzed status quo and existing problems of the forestry resources supervision and management,put forward the proposals including strengthening forestry resources compensation,ecological tax legal system,anticipation and prevention of significant risks,promoting the masses participation in forestry resources protection,meanwhile,improving the system of forestry resource conservation easement,establishing the forestry resources ecological compensation bank system,and carbon trading system.Efforts should be made to improve the effectiveness of forestry resources supervision from two aspects:innovating management system and expanding market channels.

Exploration on Integration and Optimization of Saihanba Natural Protected Area in Hebei Province

DU Xinglan, XU Bing

2021,(3):  14-18.  doi:10.13466/j.cnki.lyzygl.2021.03.003

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This paper summarized the present situation of three types of natural protected areas in Saihanba,Hebei Province,analyzed the problems such as overlapping,villages,farmland and disputed forest land,and low protection value of plantation commercial forest.The purpose of this paper is to explore the integrated optimization scheme,so as to effectively solve the problems of overlapping,multi-sector management and unreasonable zoning of the natural protected areas of Saihanba,and realize the efficient management of the protected areas.

The Function Mechanism of Forest Certification in Promoting High-Quality Development of Natural Forest

MA Shuang, TIAN Minghua, LIU Cheng, WANG Fang, DU Lei

2021,(3):  19-27.  doi:10.13466/j.cnki.lyzygl.2021.03.004

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This paper summarized the principles of CFCC standards related to natural forest quality,measuring from 4 aspects of natural forest,namely authenticity,growth vitality,structure stability and health status,outlined the function mechanism for improving quality of natural forest from 5 aspects,including forest management plan formulation,land protection,tending and regeneration,disaster prevention and control,and financial support,and evaluated the actual effect by a case study of Baihua Forest Farm in Xiaolongshan,Gansu Province.The results showed that forest certification improved the quality indicators of natural forest,namely area,volume,age structure,forest coverage,etc.Some suggestions were put forward,such as establishing the coordination mechanism between the government departments of natural forest protection and forest certification,setting up special funds to support natural forest certification,giving priority to promoting the forest management certification,and establishing the certification through green channed.

Effect Analysis of National Forest Wellness Bases Construction Based on Network Public Opinion

REN Zixian, LI Xuewu, CHEN Yishuo, ZHANG Tongxuan, ZHANG Yingjie, CHENG Baodong

2021,(3):  28-32.  doi:10.13466/j.cnki.lyzygl.2021.03.005

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Taking the first batch of 96 National Forest Wellness Bases announced by the state as an example,this paper selects two evaluation factors of natural conditions and honors awarded,and uses the network public opinion analysis method to analyze the construction effect of the bases.The results show that:Firstly,the service of each forest wellness base tends to be diversified,and the key words of most bases are closely related to their own humanistic and natural characteristics.Secondly,consumers' emotion for the bases is mainly positive,and the negative emotion comes from the imperfect infrastructure and service system.There is still room for improvement in the layout of traffic trunk lines and infrastructure construction around the forest wellness bases.The countermeasures and suggestions to promote the sustai-nable and healthy development of forest wellness bases in China are put forward.

Analysis on Problems and Path of Ecotourism in Forest Parks of South Yunnan

GUO Qi, LI Mingquan, QIU Zhi

2021,(3):  33-37.  doi:10.13466/j.cnki.lyzygl.2021.03.006

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As a new form of tourism,forest park ecotourism,with its specific health and education,has increasingly become the topic in the current tourism industry.To provide the basis for the development of forest park ecotourism,the forest parks in Pu'er and Xishuangbanna have been taken as examples to analyse the current situation,main practices and existing problems of ecotourism development.Developing ways have been put forward as follows,improving the government led management mode,using informal system to supplement the national formal system reasonably,setting up a dynamic measurement system of non-quantitative indicators properly and establishing a high-level ecotourism team,leading the ecotourism in natural protected areas and realizing the complementary advantages of the surrounding tourism resources.

Analysis of Network Structure Characteristics of Bamboo Products

ZHOU Yingying, LI Huijuan, CHENG Baodong, MA Haoyu

2021,(3):  38-46.  doi:10.13466/j.cnki.lyzygl.2021.03.007

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The paper built the global bamboo products trade networks from 2017 to 2019 according to social network analysis methods,and studied the trade network from four aspects:overall network characte-ristics,network centrality,blocks,and main trade countries. The results showed that the overall densities of the five networks were relatively sparse,while the connectivity,diffusion,stability and concentration of the bamboo products trade network were relatively strong. The "core-periphery" feature of the degree centrality of the network nodes was obvious. Compared with the import network,the bamboo products export market was more concentrated. Each of the five networks can be divided into four blocks,and block 1 was always a two-way spillover block with close internal and external trade relations. The networks of major bamboo products trading countries presented a star-shaped distribution with China as the core,and trade relations mainly occurred among Asia,America and Europe. The Asia-Pacific "trade circle" with China as the core and the European and American "trade circle" with the United States as the core were the two most important communities in the current global bamboo products trade network.

Cultivation Model Design of National Reserve Forest in Xiong'an New Area

CHEN Jinghua, GUO Hong, HE Peng, LEI Xiangdong, LU Jun, LIU Xianzhao

2021,(3):  47-52.  doi:10.13466/j.cnki.lyzygl.2021.03.008

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Cultivation models of national reserve forest were analysed in Xiong'an New Area,including design principles,tree species selection and cultivation scheme etc.to build the forest city with blue and green interwoven,beautiful environment,biodiversity,and ecological livable in Xiong'an New Area.

Scientific Research

The Research of Carbon Emission and Carbon Sequestration Potential of Forest Vegetation in China

YIN Jingping, ZHANG Yuxing, FU Yao, WANG Xuejun

2021,(3):  53-61.  doi:10.13466/j.cnki.lyzygl.2021.03.009

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Carbon emission is an inevitable outcome of the initial stage of economic development,especially the right of developing countries existence and development.The carbon emissions of China have been maintained at a low level for a long time and became the top of the world in 2005.However,per capita carbon emission was still only 46.28% of the United States in 2016.China's total CO₂ emissions are expected to reach 17~19Gt per y by 2030.To achieve the goal of carbon neutrality in 2060,it's necessary to change the energy structure, improve emission reduction technology and make the energy structure more reasonable.Therefore,replacing coal with gas is one of the most effective ways of emission reduction currently.By 2060,the carbon sequestration capacity of forest vegetation will reach or exceed 759.14Mt per y and the CO₂ absorption capacity will reach 2.783 5Gt per y.According to that,China's carbon intensity in 2060 must reduce 95.39% on the basis in 2017 and reach 640t per 100 million yuan.The carbon sequestration capacity of terrestrial vegetation (forest,grassland) will reach or exceed 1.380 3Gt per y and the CO₂ absorption capacity will reach 5.069 3Gt per y.According to that,China's carbon intensity in 2060 must reduce 91.07% on the basis in 2017 and reach 1 152t per 100 million yuan.As a consequence,under the condition that China's carbon intensity is difficult to achieve zero emissions,forest vegetation plays a key role in achieving the goal of carbon neutrality to ensure and improve the carbon sequestration capacity.

Tree Height-Diameter Regression Models Development and One-Variable Tree Volume Tables Examination in Beijing

PU Ying, ZENG Weisheng, YANG Fan

2021,(3):  62-66.  doi:10.13466/j.cnki.lyzygl.2021.03.010

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Using the height data of 14 074 sample trees in Beijing,and taking the volume estimates from two-variable tree volume tables as the base,the tree height-diameter regression models and one-variable tree volume tables/equations for 13 tree species were developed,and prediction errors of new and old one-variable tree volume tables were examined and evaluated.The results showed that the relative error (RE) of total volume estimate predicted by the current one-variable tree volume tables for 13 tree species was -1.14%,and the REs of species-specific volume estimates were between -36.59%~47.76%,where the one-variable volume tables for 11 tree species have exceeded the allowable error ±5%;the mean prediction errors (MPE) of new one-variable tree volume equations for 13 tree species were all less than 5%,the total relative errors (TRE) and average systematic errors (ASE) were all within ±1%.The study concluded that only 2 of the 13 old one-variable tree volume tables can be applied,while the other 11 volume tables needed to be revised or updated;and the one-variable tree volume tables developed in this study for 13 tree species met the precision requirement of ministerial standard in forestry.

Individual Tree Crown Width Extraction and DBH Estimation Model Based on UAV Remote Sensing

ZHANG Yuwei, ZHANG Chao, WANG Juan, LI Huayu, BAI Mingxiong, YANG Anrong

2021,(3):  67-75.  doi:10.13466/j.cnki.lyzygl.2021.03.011

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Crown width and DBH are important tree measurement factors in forest resources survey.Automatic acquisition of crown width and DBH data can improve the efficiency of forest resources investigation.In this study,Pinus yunnanensis was selected as the research object.Based on UAV images,the parameters of individual tree crown width were extracted automatically,and the relationship between crown width,crown area and DBH of different density grade plots was fitted to predict the DBH value of trees.Firstly,the individual tree crown in the canopy height model (CHM) was segmented by marker controlled watershed segmentation algorithm,and the maximum and minimum crown width and crown area were obtained,and the accuracy was evaluated with the mea-sured data.Then,the extracted crown width and crown area were fitted with the measured DBH,and the univariate and binary regression models of each density grade plot were established.The results showed that:the accuracy rate of individual tree crown segmentation was 86.26%,the average relative error of crown width was 6.04%,and the average relative error of crown area was 11.23%;in the fitting model,the fitting effect of crown width & crown area DBH model was the best,the determination coefficient was above 0.7,the relative error of validation data of the model was less than 5%,which met the requirements of class A forest resources survey.The method of extracting crown width and predicting DBH of trees based on UAV image is more accurate,which can provide reference for automatic development of forest resources investigation.

Effect of Exogenous Plant Hormones on Biomass Allocation of Fraxinus malacophylla Seedlings

DUAN Huachao, ZHENG Xinhua, LI Yanyan, YE Lan, JING Huizhu, DONG Qiong

2021,(3):  76-83.  doi:10.13466/j.cnki.lyzygl.2021.03.012

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Taking Fraxinus malacophylla container seedlings as materials,L₉ (3 ⁴) orthogonal experiment method was used to determine the biomass of Fraxinus malacophylla seedlings under three exogenous plant hormones,zeatin (ZT),3-indoleacetic acid (IAA),and gibberellin (GA₃),the relationship between the biomass and its distribution of different seedlings and different hormones was compared and analyzed.The allometric growth relationship between different organs of Fraxinus malacophylla seedlings under different exogenous plant hormone treatments was analyzed using standard spindle regression.The results showed that among different exogenous plant hormones,ZT and IAA dominated the biomass of seedlings,and GA₃ had no significant effect;there was a significant difference in biomass and biomass allocation of different organs between different treatments.Treatment No.4 (ZT 50mg/L,IAA 50mg/L,GA₃ 150 mg/L) was significantly larger than other treatments,but the biomass allocation ratio of each organ was not significant.Treatment No.9 (ZT 75 mg/L,IAA 150 mg/L,GA3150 mg/L) had the smallest total biomass,but it had a higher stem biomass distribution ratio.The allogeneic growth relationship between different organs under different exogenous plant hormone treatments was different,but the overall growth was isokinetic,indicating that the effect of exogenous plant hormones on allometric growth of Fraxinus malacophylla seedlings was not significant.Under the action of different exogenous plant hormones,the biomass of Fraxinus malacophylla seedlings has changed significantly,and the distribution of resources in the environment by the seedlings has not changed significantly.

Study on the Community Characteristics of Quercus mongolica Forest in Baihuashan National Nature Reserve

JIA Hongbo, XIAN Feng

2021,(3):  84-88.  doi:10.13466/j.cnki.lyzygl.2021.03.013

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In order to effectively grasp the status quo of plant species diversity in Baihuashan National Nature Reserve,the Quercus mongolica community in Beijing Baihuashan National Nature Reserve was investigated.A total of 12 species of trees,29 species of shrubs and 49 species of herbs were investigated.Data analysis showed that Quercus mongolica was the dominant tree species in the community and dominated in the main forest layer;Rubus crataegifolius was the dominant species in the bush layer.The important dominant species in the herbaceous layer were Carex lanceolata and Deyeuxiaarundinacea.

Intraspecific and Interspecific Competition Intensity of Pinus armandii in Galang National Wetland Park,Southeast Tibet

YAO Huifang, LU Jie, WANG Chao, CHEN Kang

2021,(3):  89-95.  doi:10.13466/j.cnki.lyzygl.2021.03.014

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Taking 39 target trees and 210 competitive trees in Galang National Wetland Park in southeast Tibet as the research objects,based on field survey data,the competition index of species in Pinus armandii community was calculated by Hegyi individual competitive indices(CI) model,and the regression analysis method was used to establish the functional model of DBH of target trees with the whole stand,associated tree species and intraspecific competition intensity.The results showed that:1) There was a significant power function relationship between DBH and tree height of P.armandii;2) The intraspecific and interspecific competition index of P.armandii accounted for 54.68 % and 45.32 % of the total competition index respectively,intraspecific competition was dominant in the community;3) The order of compe-titive species among P.armandii species was Quercus aquifolioides> Picea likiangensis var.linzhiensis> Pinus densata;4) The DBH of P.armandii had a significant negative correlation with the competition index of the whole stand,associated tree species and intraspecific,and the model can effectively predict the intraspecific and interspecific competition intensity of P.armandii;5) P.armandii population.belongs to the growth type,need to strengthen the protection of mature forest to prevent faults.

Extraction Method of Urban Forest Land Information Based on Spectral Information

LIN Shuangshuang, ZHONG Jiusheng, HE Xin, JIANG Li, DUAN Jiwei, DAI Renli, HE Zhiyuan

2021,(3):  96-100.  doi:10.13466/j.cnki.lyzygl.2021.03.015

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In order to study the extraction method of forest land information with more regional characteristics,some regions of Guiyang were selected as the research object,and the terrain information was preprocessed with the help of spectral information.The results showed that this method can effectively reduce the pressure of the segmentation model,and the IoU of this method was 0.943 6,which was 6.79% and 15.74% higher than U-Net method and NDVI threshold method respectively,,showing that the method is effective for extracting forest land information in urban area.

Research on Inversion of Forest Volume Based on Domestic High-Resolution Data

XIAO Yue, XU Xiaodong, LONG Jiangping, LIN Hui

2021,(3):  101-107.  doi:10.13466/j.cnki.lyzygl.2021.03.016

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Taking the Wangyedian Forest Farm in Inner Mongolia as the research area,combined with ground surveys,and based on the preprocessing of the GF-2 remote sensing data,48 remote sensing factors such as spectral information,vegetation index and texture information were extracted,and 8 remote sensing factors were selected for modeling by Pearson correlation coefficient method.Using multiple linear regression,multi-layer perceptron,K-nearest neighbor,support vector machine,and random forest model to estimate the forest volume,the forest volume inversion map in the study area was obtained.The results showed that:1) Among the remote sensing factors extracted from GF-2,mean of texture features based on the second-order matrix had a higher correlation with the forest volume;2) Random Forest had better estimation accuracy of forest volume than methods such as multiple linear regression,multi-layer perceptron,K-nearest neighbor and support vector machine,and its relative root mean square error (rRMSE) was 25.40%;3) The areas with high forest volume in the study area were mainly distributed in the west and southeast;the areas with low forest volume were mainly distributed in the northwest,central and northern parts,which were consistent with the actual investigation.The domestic GF-2 image and random forest algorithm had certain potential in the inversion of forest volume.

Comparison of Vegetation Classification Methods Based on High Resolution Remote Sensing Image

ZHANG Diandai, WANG Xuemei

2021,(3):  108-113.  doi:10.13466/j.cnki.lyzygl.2021.03.017

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Taking the oasis-desert transition zone in the eastern part of Kuqa City,Xinjiang as the research object and using GF2 remote sensing image as the main data source,on the basis of field investigation,supervised classification based on pixel and object oriented classification based on hierarchical multi-scale segmentation were used to accurately identify the vegetation information in the study area.The results showed that:1) The results of supervised classification and object-oriented classification were roughly the same.The overall classification accuracy rates of both methods could reach more than 94%,and the Kappa coefficient was greater than 0.93,both of which reflect higher classification accuracy.2)Compared with supervised classification,the object-oriented classification method improved the overall classification accuracy by 3.79%,and the Kappa coefficient increased by 0.032,which had a better classification effect and classification accuracy.By determining the optimal scale segmentation,the object-oriented classification method can more accurately extract vegetation information in the study area,and provide a scientific basis for the reasonable evaluation of the regional land desertification status.

Study on Automatic Extraction of Fast-Growing Eucalyptus Stand Parameters Based on UAV Remote Sensing Images

QIU Shiping, WEI Mingxin, MA Yisha

2021,(3):  114-119.  doi:10.13466/j.cnki.lyzygl.2021.03.018

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With the support of real-world 3D modeling software,the UAV remote sensing technology was used to obtain images of fast-growing eucalyptus areas in Fusui County,Guangxi.The aerial photography data was processed automatically with Pix4d software,so as to obtain the Digital Orthophoto Map l(DOM),Digital Surface Model (DSM) and crown height model.Then the fast-growing eucalyptus forest tree stem,tree height,canopy density and other forest parameters were extracted based on the crown height model,and the precision of the extracted parameters was analyzed.The results showed that the stem precision verification index (stem detection rate,accuracy rate and f parameter) was better,and there was a strong correlation between the estimated value of tree height and the measured value of tree overestimation,and the accuracy of canopy density was 92.85%.The automatic extraction method of fast growing Eucalyptus stand parameters based on UAV remote sensing image could meet the relevant practical requirements,it could replace the manual measurement to a certain extent,and it would have broad application prospect in plantation.

A Study on the Type Classification and Impact Mechanism of Forest Tourism Landscape in Zhangjiajie —Based on the Perspective of Landscape Image Sketch

LU Chang, WANG Chen, LUO Fen, KONG Hui

2021,(3):  120-128.  doi:10.13466/j.cnki.lyzygl.2021.03.019

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The study interviewed a total of 210 college students from three universities,namely Central South University of Forestry Science and Technology,Central South University and Hunan Women's College,took landscape image sketch as the research method,and subdivided Zhangjiajie forest tourism landscape types from language knowledge,spatial dimension,self orientation and social significance,and analyzed its influence mechanism.The results showed that Zhangjiajie forest tourism landscape can be divided into four categories:typical peak forest landscape,high interactive recreational landscape,high vegetation coverage broad-leaved forest landscape and highly beautiful remote mountain landscape.Further research found that the main factors influencing the classification of forest tourism landscape types in Zhangjiajie were as follows:the main residential types before the age of 18,the landscape types around the main residence before the age of 18 and the number of visits to Zhangjiajie.On this basis,the paper developed the model of the influence mechanism of forest tourism landscape classification in Zhangjiajie,and put forward the development strategies of optimizing the supply of forest tourism products,strengthening the supply of natural education products,enriching the intrinsic value of forest tourism landscape,etc.

Soil Nutrients and Stoichiometric Characteristics of Xing'an Larch Forest in Different Age Groups

HAN Xiaorong, YANG Lin, MA Xiuzhi, LIANG Lei, LI Yiqian, LIANG Zhi

2021,(3):  129-136.  doi:10.13466/j.cnki.lyzygl.2021.03.020

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The dynamic changes of soil nutrient content and stoichiometric characteristics of Larch forest in different age groups in Greater Khinggan Mountains of Inner Mongolia were analyzed.The results showed as follows:1) Soil organic carbon (SOC) was significantly positively correlated with soil total nitrogen (TN),C:P ratio (C:P),N:P ratio (N:P);Soil TN was positively correlated with C:P,N:P.Soil ammonium nitrogen (${NH_{4}}^{+}$-N) was significantly positively correlated with soil nitrate nitrogen (${NO_{3}}^{-}$-N),C:P,N:P.Soil C:N and C:P were significantly positively correlated.The correlation between soil C:P and N:P was extremely significant.2) With the increase of stand age,soil SOC,TN and C:N,C:P,N:P showed a trend of increasing first and then decreasing,and reached the highest in the near mature stand.The content of total phosphorus (TP) in soil was firstly decreased and then increased,and the content of TP in middle aged forest was the lowest.There was no significant change in the contents of ammonium nitrogen and nitrate nitrogen in soil.The soil nutrient content decreased gradually.3) Soil bulk density decreased with the increase of stand age,and there was no significant difference in soil bulk density among all age groups.Soil TP had no significant correlation with soil bulk density,while soil SOC and TN had significant correlation with soil bulk density.

Effects of Permafrost Activity on Growth and Undergrowth of Larch in The Greater Hinggan Mountains

ZHANG Yang, TIE Niu, CHANG Xiaoli

2021,(3):  137-144.  doi:10.13466/j.cnki.lyzygl.2021.03.021

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Based on two years' field survey data,the DBH growth rate of larch in different permafrost layers in the Greater Hinggan Mountains,Inner Mongolia and the variation characteristics of biodiversity index under larch forest were analyzed.The results showed as follows:1) With the increase of active layer,the DBH growth rate of Larix Xing'an was higher in the relatively deep permafrost area,and was lower in the frozen area than in the non-frozen area;2) With the increase of the active layer,the Shannon diversity index and richness index of the active layer samples in the permafrost region increased,which were lower than those in the non-permafrost region.The contents of organic matter,total nitrogen and total phosphorus in soil showed an increasing trend,while the contents of total potassium showed a decreasing trend compared with those in non-frozen soil area.3) The results of RDA analysis showed that among the permafrost soil factors,the surface temperature and active layer thickness significantly affected the DBH growth rate and understory plant species diversity of Larix Xing'an.

Survey and Analysis of Wild Animal Resources in Xinjiang Taxkorgan Wildlife Nature Reserve

QI Cheng

2021,(3):  145-148.  doi:10.13466/j.cnki.lyzygl.2021.03.022

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Using the survey method based on sample line,sample point and sample method,the wild animal resources of Xinjiang Taxkorgan Wildlife Nature Reserve were investigated and studied.The paper analyzed the unique,typical and diverse features of wild animal resources,as well as conservation and utilization value and scientific research value.Corresponding countermeasures have been proposed.

Technical Application

Study on Forest Land Data Updating Synchronization Based on GeoSOT Global Subdivision Grid

LIU Yongjie, LI Hui

2021,(3):  149-153.  doi:10.13466/j.cnki.lyzygl.2021.03.023

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Based on spatial characteristics of forest land data,using the GeoSOT global subdivision grid,the study developed a set of global uniqueness,multi-scale and discreteness of spatial information coding location identification subdivision model to forest land data.Therefore,it solved the problems in multi-source multi-scale spatial data of woodland update management,such as unified regional organization,integrated management,statistical analysis and so on.In this study,we used Microsoft Visual Studio to develop a C/S architecture of forest-land data integration management experiment,to verify the effectiveness of the data based on the partitioned coding model in forest land data management,data transmission,and data applications.Experiment showed that,it can effectively organize and manage woodland data,improve the efficiency of data retrieval and access,and meet the business needs of forest land data management based on GeoSOT global subdivision grid.

Application of Middle-Resolution Satellite Remote Sensing Technology in Dynamic Monitoring of Forest Resources

LAN Yufang, SHI Xiaohua, MA Shengli, WANG Zhaoli, JIN Xin

2021,(3):  154-159.  doi:10.13466/j.cnki.lyzygl.2021.03.024

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Based on Sentinel-2A and Landsat-8 middle-resolution remote sensing data,combined with the three-phase forest inspection results and the annual update data of the "one map" of forest resources man-agement from 2018 to 2020,LSMA spectral hybrid analysis model and Li-Strahler geometric optics model were used to study the dynamic monitoring and empirical research on the changes of forest resources in 8 pilot counties of Qinghai Province.The results showed that,in the 15-month time span,a total of 693 change patterns with total area of 1286.3827 hm² of forest land were monitored,which mainly occurred within the public welfare woodland and accounted for 97.48% of the total area.And the overall accuracy rate reached 87.30%,which met the requirements for dynamic monitoring of forest resources;Also,the smallest patch area that could be detected by the 10-m resolution satellite image was 0.1 hm²,but it was mainly concentrated in forest areas with greater canopy closure;Furthermore,on the basis of computer automatic detection,adding manual recognition could further improve the accuracy of change detection.

Application of UAV Aerial Photo Data in Forest Information Extraction

SUN Yujiang, LI Fengtao, CHEN Xiangqin, ZHANG Lei, YANG Ning, ZHENG Da

2021,(3):  160-164.  doi:10.13466/j.cnki.lyzygl.2021.03.025

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In this study,the UAV images of pine forest in Shazikou Street,Laoshan District,Qingdao City,Shandong Province were captured in the spring and autumn of 2020.The optimal scale for the segmentation of DOM images was confirmed with ESP auxiliary tools.Decision trees for identifying the changing area were constructed using fuzzy classification.The watershed algorithm was used to rapidly extract the changes in the number of living trees in the pine forest.The results showed that the number of living trees decreased by 205 in 6 locations of the study area.Based on field surveys,217 trees were reduced,and the accuracy for detecting the changes of living trees was 92.3%.These results demonstrated that high-resolution UAV images could facilitate the rapid and accurate monitor of changes of trees in forests,thereby having great potential for forestry resource investigation,pinewood nematode disease monitoring and disaster assessment,especially for areas with high altitude and dangerous road,it can replace manual survey.

Research on "Internet+" Forestry Disaster Emergency Management Practice and Analysis

ZHANG Ke, YANG Suli, SHI Yan, XU Lili

2021,(3):  165-170.  doi:10.13466/j.cnki.lyzygl.2021.03.026

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The article focused on forest fire monitoring,forestry pest prevention and control,wild animal foci and disease monitoring,and introduced the construction and application of the "Internet +" forestry disaster emergency management system.Through systematic forestry disaster monitoring,analysis,organization and coordination,it can ensure ecological safety,reduce the incidence of forest disasters,effective predict and handle with all types of forestry disaster,and improve the ability of forestry in addressing natural disasters.