Remote Sensing Image Classification Based on Decision Tree in the Karst Rocky Desertification Areas: A Case Study of Kaizuo Township

Karst rocky desertification is a phenomenon of land degradation as a result of affection by the interaction of natural and human factors.In the past,in the rocky desertification areas,supervised classification and unsupervised classification are often used to classify the remote sensing image.But they only use pixel brightness characteristics to classify it.So the classification accuracy is low and can not meet the needs of practical application.Decision tree classification is a new technology for remote sensing image classification.In this study,we select the rocky desertification areas Kaizuo Township as a case study,use the ASTER image data,DEM and lithology data,by extracting the normalized difference vegetation index,ratio vegetation index,terrain slope and other data to establish classification rules to build decision trees.In the ENVI software support,we access the classification images.By calculating the classification accuracy and kappa coefficient,we find that better classification results can be obtained,desertification information can be extracted automatically and if more remote sensing image bands used,higher resolution DEM employed and less errors data reduced during processing,classification accuracy can be improve further.

Rocky Land Desertification and its Driving Forces in the Karst Areas of Rural Guangxi,Southwest China

With a subtropical climate,Guangxi Zhuang Autonomous Region has a typical karst landscape.Rocky desertification has become a serious environmental issue due to its high vulnerability caused by the joint effect of natural settings and human activities,because of which its eco-environment has been deteriorated in recent years,and farmland has been disappearing sharply at the same time.This,in turn,has exacerbated the poverty level in the rural areas of the region.In this study,we monitored the spatial distribution of rocky land desertification and its temporal evolution using Landsat TM/ETM images of 1985,1995,2000 and 2005.We also analyzed the driving forces of the desertification and its expansion.Through constructing regression models by using all the relevant variables and considering the lagged effects as well as fixed effects,we quantified the exact role of different factors causing rocky land desertification in the study area with some new findings.The new findings in this study are greatly helpful for preserving,restoring and reconstructing the degraded mountain environment in Guangxi and other karst areas in Southwest China,and also for alleviating poverty in the rural areas in the future.

On the Poverty in the Rocky Desertification Areas of Southwest China Based on AHP: A Case Study of Liupanshui City in Guizhou Province

Karst rocky desertification mountain areas are regarded as main positions to wipe out poverty for their large poverty population,wide poverty area,high rate of poverty,etc. This paper takes Liupanshui city as an example where the situation of rocky desertification is very serious. We build the indicator system of poverty alleviation and development by analyzing their poverty and using the AHP method and also find the limiting factors which restrict the development of this area then put forward the recommendations to alleviate poverty.

Development of land desertification in Bashang area in the past 20 years

Natural conditions in Bashang area are characterized by zonal transitions which are liable to be impacted by natural disasters and intensified human activities. The extremely fragile eco-environment is also liable to have desertification formed and developed. In the 18 years from 1978 to 1996, the desertified land area of Bashang within the scope of the map nearly doubled, a total increase of 2199.11 km2, averaging an increase of 122.17 km2 per year. Moreover, the seriously desertified area increases rapidly. Land desertification in Bashang is the combined result of natural factors and irrational human economic activities. Cultivated land expansion, population growth, and overgrazing aggrevate desertification development.

Research on Model Construction and Technique Support for Integrated Rehabilitation of Rock Desertification in Chaoying Small Watershed of Bijie Test Area of Guizhou Province

Selecting Chaoying small watershed with representative karst rocky desertification in the Bijie test area of Guizhou Province as an example, according to karst rocky desertiflcation degree and the existing eco-environmental problems in the small watershed, we study developmental model and technique support system for integrated rehabilitation of rocky desertification in the small watershed, and bring forward the development model and technique integration for integrated rehabilitation of rocky desertification, which adapt to the karst areas of Bijie test area, Guizhou Province and even South China.

SPATIAL AND TEMPORAL DYNAMICS OF SOIL ORGANIC CARBON IN RESERVED DESERTIFICATION AREA——A Case Study in Yulin City, Shaanxi Province, China

Soil organic carbon (SOC) was considered to be a key index in evaluation of soil degradation and soil C sequestration. To discuss the spatial-temporal dynamics of SOC in arable layer in reversed desertification area, a case study was conducted in Yulin City, Shaanxi Province, China. Data of SOC were based on general soil survey in 1982 and repeated soil sampling in 2003. Soil organic carbon content (SOCC) was determined by K2Cr3O7-FeSO4 titration method, and soil organic carbon density (SOCD) was calculated by arithmetic average and area weighted average method, respectively. On average, SOCC and SOCD of the arable layer in the study area from 1982 to 2003 had increased 0.51g/kg and 0.16kg/m2, respectively. Considering main soil types, the widest distributed Arid-Sandic Entisols had lowest values and increments of SOCC and SOCD during the study period; while the second widest Los-Orthic Entisols had higher values and increments of SOCC and SOCD, compared to the mean values of the whole region. The results indicated that reversed desertification process was due to the modification of land use and management practices, such as natural vegetation recovery, planting grass, turning arable land to grassland, and soil and water conservation etc., which can improve SOCC and SOCD and thus enhance soil C sequestration.

Desertification evolution prediction for lake area of Minqin oasis based on integration of GIS and cellular automata

The Minqin oasis is surrounded on three sides by the Tengger Desert and the Badanjilin Desert, and it prevents these two deserts from converging. However, in recent years it has become the worst ecological environment in the Lake area due to deficient water resources, continual declines in the groundwater level and quality （increasing mineralization and salination）, which are causing in- creasing desertification. In this study, Landsat Thematic Mapper （TM） remote images from 1992, 1998, 2002, and 2006 of the Lake area of the Minqin oasis are interpreted to analyze the desertification evolution. A combination of an ArcObjects module and a cellular automata model is used to build a model simulating the desertification dynamics; the forecasting accuracy of this model is shown to reach up to 90%. The desertification situation in 2012 is forecasted by this model, and the results showed that, from 2006 to 2012, the green land area will be reduced by 999.92 hm2 （l.59 percent of the total oasis area）, the desertification land area will be reduced by 3,000.68 hrn2 （4.78 percent of the total oasis area）, and sand land area will increase by 4,000.6 hm2 （6.37 per- cent of the total oasis area）. The sand land is predicted to become more widespread, and more than 18% sand land will be distrib- uted in the center of green land in the Lake area. In other words, more and more abandoned green land （mined farm land） will be transformed into sand land, and this will intensify the desertification.

Ecological Restoration of Rocky Desertification in Hongfeng Lake Karst Area Based on SWOT Analysis

In order to provide a reference for rocky desertification control in karst areas,we take the case of Hongfeng Lake Rocky Desertification Comprehensive Control Demonstration Area in Qingzhen City of Guizhou Province,and expound strength,weakness,opportunity and challenge in its ecological restoration,using SWOT analysis method in management sciences.And we finally put forth scientific strategies for ecological restoration in this demonstration area.

Prevention and Control Mode of Desertification in China＇s State Energy Group Shendong Mining Area with Annual Coal Output of 200 Million Tons

According to the strategic goal of sustainable development,construction and management for the construction of Shendong mining area with ecological safety,the ecological restoration principle of ＂ control protects development and development promotes control＂ for desertification prevention and control was adopted,and engineering measures,plant greening measures,and enclosure management and protection measures were taken to prevent and control desertification in the mining area based on careful detailed investigation and accurate planning and design in the early period. After 32 years,the desertification ecological landscape environment of the mining area has undergone a qualitative change,and the vegetation coverage has increased from 3%-8% to above 60% after the development. The former desertification land has become a modern green energy base that has produced 200 million tons of coal every year. The construction and management mode of an ecologically safe and modernized green coal mining area built by Shendong in the desertification region of northwestern China shows that taking appropriate comprehensive ecological restoration construction technology and management measures that integrate engineering,plants and enclosure management and protection is an effective technical and management paradigm for the construction of a modernized green large-scale coal mining area in China＇s arid and semi-arid regions.

Technical Specification for Application of Unmanned Aerial Vehicle( UAV) Monitoring of Rocky Desertification in Karst Area

Taking the opportunity of the third monitoring of rocky desertification in the karst area of China,Zigui County of Hubei Province applied Unmanned Aerial Vehicle( UAV) for the first time for monitoring. Through repeated trials and studies,it established technical requirements including the UAV monitoring technology for the rocky desertification,the feature point photographing,UAV video judgment of rocky desertification degree,UAV video correction misclassification subcompartment,and UAV video observation of rocky desertification control. It completed the third rocky desertification monitoring task of karst area in Zigui County.

Applied research of landscape ecology in desertification monitoring and assessment

A preliminary research on landscape ecology in desertification monitoring and assessment was reported. Also, this paper laid stress on the study of landscape diversity, dominance, evenness and Markov Matrix model and their respective landscape ecological meanings in the desertification monitoring and assessment. Concurrently, it took Shazhuyu Experimental Area, Qinghai Province as a specific case study.

Driving forest succession in karst areas of Chongqing municipality over the past decade

Background:Karst areas in southwestern China exhibit ecological degradation in the form of rocky desertification.Local governments launched large-scale afforestation and other ecological restoration programs to curb this trend.Soil thickness is a key limiting factor for vegetation restoration in Karst areas,but the relationship between ecological restoration and soil thickness remains unclear.Further,afforestation consumes large amounts of water,which impacts water supply in karst areas.In this study,we used GIS and statistical analyses to determine rocky desertification sensitivity and its driving factors in karst areas of Chongqing municipality over the past decade.Results:Soil thickness is one of the key factors that restrict ecological restoration of rocky desertification.From 2000 to 2010,rocky desertification sensitivity in karst areas was on the rise along with an increase in afforestation.Areas of high sensitivity were mainly distributed in Pengshui County,Wulong District,and Youyang County;Shizhu County had the lowest overall incidence of desertification.Spatial distribution of rocky desertification was significantly affected by rainfall and soil thickness.Regression analysis showed that the main factors controlling changes in rocky desertification in natural forest over time were precipitation which explained 23.73%of total variance,and soil thickness which explained 23.42%of total variance.Soil thickness and soil water content had a higher correlation coefficient(at 0.516)in natural forests than in planted forests.Conclusion:This study showed that increases in soil thickness in a karst area had a significant positive impact on the fragile ecological environment.This indicates that ecosystem restoration in karst areas will benefit from addressing soil thickness.

Analysis and Study on Rock Desertification and Its Rehabilitation Landscapes in Guizhou Province

On the basis of combining landscape planning theories and rock desertification,this study analyzed and sorted out types of rock desertification landscapes,major rehabilitation models for the rock desertification rehabilitation landscapes,landscape representatives,and their socio-economic benefits.

Quantifying the impact of earthquakes and geological factors on spatial heterogeneity of debris-flow prone areas:A case study in the Hengduan Mountains

Understanding the spatial heterogeneity of debris-flow-prone areas holds significant implications for regional risk management, particularly in seismically active regions with geological faults. Despite the significance of this knowledge, a comprehensive quantification of the influence of regional topographical and geological factors on the spatial heterogeneity of debris-flow-prone areas has been lacking. This study selected the Hengduan Mountains, an earthquake-prone region characterized by diverse surface conditions and complex landforms, as a representative study area. An improved units zoning and objective factors identification methodology was employed in earthquake and fault analysis to assess the impact of seismic activity and geological factors on spatial heterogeneity of debrisflow prone areas. Results showed that the application of GIS technology with hydrodynamic intensity and geographical units analysis can effectively analyze debris-flow prone areas. Meanwhile, earthquake and fault zones obviously increase the density of debrisflow prone catchments and make them unevenly distributed. The number of debris-flow prone areas shows a nonlinear variation with the gradual increase of geomorphic factor value. Specifically, the area with 1000 m-2500 m elevation difference, 25°-30° average slope, and 0.13-0.15 land use index is the most favorable conditions for debris-flow occurrence;The average annual rainfall from 600 to 1150 mm and landslides gradient from 16° to 35° are the main causal factors to trigger debris flow. Our study sheds light on the quantification of spatial heterogeneity in debris flow-prone areas in earthquake-prone regions, which can offer crucial support for post-debris flow risk management strategies.

基于新型智慧城市视角的地质灾害监测——以广州市为例

新型智慧城市建设为广州地质灾害监测提供了新机遇、新思路。笔者结合近年来地灾监测的科学研究和工程实践,从感知、调度、共治的角度浅谈对于广州地灾监测的一些思考。感知方面:广州市地貌结构复杂,北部丘陵台地作为地灾易发区,建议构建重点区域天-空-地三查体系,及时识别潜在风险源。预警调度:广州市地灾的发生与降雨有很强的时间相关性和空间耦合性,建议在广州市雨窝、降雨集中区构建精细化气象预警网格,提高监测预警精准度;针对地灾监测预警存在的重监测、轻预警现象,建议构建基于数据-知识双驱动的预警模型,实现高精度可解释的地灾预测建模;针对疑难边坡,建立专家研判系统,实现精准“把脉”,精准“治疗”。共建共治:加强跨部门跨层级合作,加强新建工程项目地灾评估,消减地灾存量,控制地灾增量。

云南省岩溶地区石漠化土地治理分区研究

根据云南省岩溶地区石漠化土地空间分布特征和各区域地质地貌、气候、水文、岩溶土壤和森林植被分布,结合碳酸盐岩的类型、岩性组合特征、不同岩溶地貌对区域环境和水土资源的制约、石漠化在不同地貌条件下的形成和发育特征,统筹考虑岩溶生态系统的完整性、地理单元的连续性和经济社会发展的可持续性等因素,将全省88个岩溶监测县划分为6个治理区,并就各分区地理区位、地质地貌、成土母岩、水文、气候类型、森林植被类型分布以及各石漠化区不同类型岩溶土地面积占比等进行描述。

石漠化地区不同配方施肥下九叶青花椒产量与生长和养分储存的关系

【目的】揭示配方施肥下九叶青花椒产量与枝梢和根系生长、养分积累之间的关系,为提高花椒幼年期的经济产量及提前进入丰产期提供依据。【方法】在赤水河流域的遵义市播州区三合镇人工种植九叶青花椒林地设置样地,设置N、P和K共3个肥料因素,各因素均设置4个施肥水平,分析不同施肥处理对幼年期九叶青花椒枝梢和根系生长、非结构性碳水化合物含量、花芽分化率、结果枝率、穗粒数和产量等的影响。【结果】以尿素590 g/株、过磷酸钙1335 g/株、硫酸钾480 g/株、硼肥10 g/株、有机肥10 kg/株处理促进效果最佳,可显著提升九叶青花椒的花芽分化率、结果枝率、穗粒数、千粒重、坐果率和产量,其中,产量在各处理中最高,达1.088 kg/m^(2),比不施肥对照高73.49%。施肥改变养分在生长、养分贮藏以及生殖(开花结实)间的资源分配,施肥促进枝梢和根系生长,有利于植株获取养分,进而促进结实。产量与穗粒数显著相关,表明施肥能促进花芽分化且减少落花落果。施肥也促进枝条和根系可溶性糖含量积累,进而提高植株抗逆性。【结论】施肥可促进九叶青花椒养分积累、抗逆性提高(主要是对冬季低温),减少落花落果,进而提高产量。

云南省岩溶地区石漠化草原现状及分区保护与修复策略

据最新调查数据,云南省石漠化草原主要分布于曲靖、昆明、红河等5个州(市),总面积37.97万hm2,占岩溶土地面积的3.53%,其分布最广的海拔区间为1 500~2 500 m,占比47.85%,基岩裸露度分布区间为30%~94%,以植被盖度为10%~19%的分布区间面积最广,占比37.85%,绝大部分分布于土层薄甚至极薄区域,占比达92.10%。根据石漠化草原空间分布特征,在充分衔接各大生态保护和修复工程建设规划基础上,统筹考虑岩溶生态系统的完整性、地理单元的连续性和经济社会发展的可持续性,将云南省石漠化草原区划为6个分区,分区阐述石漠化草原生态保护与修复策略。

云南省岩溶地区石漠化耕地现状及治理策略

云南省石漠化土地面积212.85万hm^(2),占岩溶土地面积的19.81%,其中石漠化耕地面积46.36万hm^(2),占石漠化土地面积的21.78%,石漠化耕地以轻度石漠化和中度石漠化土地为主,集中分布在人口稠密、经济欠发达地区。目前云南省石漠化治理存在着投资标准低,投入不足,治理需求大,成果巩固压力大,管理体制不顺,地方配套资金筹措困难等问题。藉此,提出遵循水土保持原则,因地制宜,改善农业条件,大力发展林禽林下经济模式,持续推进石漠化综合治理工程,节约集约用地,严把耕地红线关,降低石漠化区域耕地承载压力,遏制石漠化耕地发生等治理策略。

剑麻专用肥对石漠化山区剑麻生长及产量的影响

石漠化山区自然条件恶劣,剑麻具备耐瘠薄、耐旱、综合利用价值高、发展前景广阔等特点,成为石漠化山区产业扶贫的较好选择。试验结果表明,剑麻新增叶片数、叶长和鲜叶产量随专用肥施入量增加而增加,每株剑麻施用专用肥量为200 g时,鲜叶产量、经济效益最高。该结论为石漠化山区剑麻高产栽培技术提供技术参考。