A study on wetland classification model of remote sensing in the Sangjiang plain

1　ＩＮＴＯＤＵＣＴＩＯＮＷｅｔｌａｎｄｃａｎｐｅｒｆｏｒｍｅｎｏｒｍｏｕｓｆｕｎｃｔｉｏｎｓｉｎｒｅ ｓｏｕｒｃｅａｎｄｅｎｖｉｒｏｎｍｅｎｔａｄｊｕｓｔｍｅｎｔ ,ａｎｄｉｔｉｓｏｎｅｏｆｔｈｅｉｍｐｏｒｔａｎｔｅｃｏｌｏｇｉｃａｌｅｎｖｉｒｏｎｍｅｎｔｓｔｈａｔｈｕｍａｎｂｅ ｉｎｇｓｒｅｌｙｏｎ .Ｉｎｔｅｒｎａｔｉｏｎａｌｃｏｍｍｕｎｉｔｉｅｓｈａｖｅａｌｒｅａｄｙｐａｉｄ ｇｒｅａｔａｔｔｅｎｔｉｏｎｔｏｔｈｅｗｅｔｌａｎｄｒｅｓｅａｒｃｈ ,ａｎｄｓｏｍｅｆｏｒｅｉｇｎｅｒｓｈａｖｅｄｏｎｅ…     

The efifect of wave breaking on surface wave imaging by Synthetic Aperture Radar

The effect of ocean wave breaking as a non-Bragg mechanism on backscattering cross-section and modulation transfer functions (MTF) of radar was investigated based on Bragg resonance theory and parametric method. The result showed that the additional effect of wave breaking on backscattering cross-section is not more than 20% except for the small incident angle of VV polarized electromagnetic (e.m.) wave but is significant for HH polarized e.m. wave. Breaking waves lead to increase in the modulus of tilt modulation MTF and the larger the wind speed, the faster the increase. For large incident angle, the modulus of tilt modulation MTF with wave breaking decreases quickly with incident angle for HH polarization and approach to that without wave breaking for VV polarization. The hydrodynamic MTF increases 30%-60% when considering wave breaking and the increase is larger for HH polarization than for VV polarization.     

黑河流域中游地区作物种植结构的遥感提取

及时、准确地获取农作物种植结构对区域水资源管理与作物产量估测等具有重要意义。随着对通过遥感手段获得作物种植结构的深入研究,如何优选遥感数据和分类器成为需要重点考虑的关键问题。针对黑河流域中游地区的作物分布与种植特点,提出一种基于多时相遥感影像与多分类器组合的作物种植结构提取方法。利用2018年18景16 m分辨率的GF-1 WFV影像,构建NDVI时间序列。根据NDVI时间序列表征的作物季相节律和物候变化规律特点,采用分层的策略,首先解译一级土地覆被类型,再解译二级土地覆被类型。一级土地覆被类型解译中,使用决策树分类方法先将NDVI特殊且易提取的水体进行解译,再使用面向对象分类方法通过分区将需借助NDVI纹理信息提取的建设用地进行解译,最后使用随机森林分类方法解译耕地、林地、草地、裸地和湿地。在对耕地的进一步分类中,使用决策树分类方法首先将具有特殊物候规律且易于区分的苜蓿类别解译出来,再将与其他类别物候差异较大的小麦解译,最后将物候相似的玉米、蔬菜及其他解译。黑河流域中游研究区内一级土地覆被分类总体精度为97.24%,卡帕系数为0.96;作物种植结构解译总体精度为86.58%,卡帕系数为0.80。此外,还分析了影响黑河流域中游研究区解译精度的4个因素：对土地覆被类别的定义、混合像元、影像分割时基础影像的选择以及分类方法的选择。通过对不同分类方法的比较发现,与仅使用最大似然分类方法、支持向量机分类方法或随机森林分类方法相比,本文提出方法的解译结果更好,解译精度更高。     

基于TM影像属性和形态特征的土地覆被制图方法

本文以浙江省中南部地区不同时相30m分辨率的2景TM影像为基本数据,采用面向对象的方法实现了研究区的土地覆被制图。首先,在eCognition软件中采用多尺度分割算法,以光谱信息、纹理特征、几何特征等实现研究区的对象分割,使分割后的对象边界与实际地物边界尽量保持一致,通过建立多层次地物特征规则,进行最优分割尺度下的遥感多层次识别分类;然后,分析可用于分类的属性特征和形态特征,通过对这些特征的统计值对比分析,选取了对象的紧致度、长宽比、MNDWI、LBV等特征构建了决策树模型,实现了研究区1：25万的土地覆被分类;最后,采用目视解译和野外样本2种方式对分类结果进行精度验证,其中,目测随机样点评价得到的总体精度为87.66%,野外样本点评价得到的总体精度为83.38%。研究表明：面向对象的分类方法不仅具有较高的精度,而且图斑与实际地物边界能较好地吻合,很好地避免了混合像元误分的现象,同时能消除像元分类的“椒盐现象”。     

Revealing storage-area relationship of open water in ungauged subalpine wetland — Napahai in Northwest Yunnan, China

Mountains and plateaus in Southwest China contain many subalpine and alpine wetlands, with significant hydroecological functions. But ungauged or poorly gauged conditions limit the study and understanding of hydrological regimes of these wetland types. This study selects an ungauged subalpine wetland-Napahai in Northwest Yunnan, China-as a case for developing a practical approach to revealing its storage-area relationship of open water. A Trimble R8 GNSS (Global Navigation Satellites Systems) RTK (Real-time Kinematic system) and sonar fathometer were used to survey fine-resolution elevation data and generate a digital elevation model of the Napahai Wetland. Forty-four Landsat images from 1987 to 2011 were collected, and the Normalized Difference Water Index was used to classify open water features in the area. The area of open water in Napahai was calculated for each phase. With these data and a developed conceptual model, the storage of open water for each phase was estimated using ArcGIS tools. Both storage and area of open water showed significant intra-annual and inter-annual variations. In the rainy season, the monthly change of average storage of open water in Napahai showed about 1-2 months lag behind mean monthly rainfall. The storage-area relationship of open water was well fit by a power function equation (R 2 ≈0.91, n=44). This study indicates that if detailedelevations are available for similarly ungauged subalpine wetlands in Southwest China, researchers can use this practical approach to estimate multi- temporal areas and storages and reveal the storage-area relationship of open water in the wetlands. The study provided valuable information of this case wetland for optimizing its hydro-ecological managements and a new method to wetland researchers and managers for the hydrological study of similarly ungauged wetland complex.     

多时相耕地覆盖提取和变化分析：一种结合遥感和空间统计的时空上下文方法

基于多时相影像的耕地提取和变化分析是有效管理和保护耕地资源的重要手段。然而就多时相耕地的分类提取而言,现有方法对于多时相影像中地物的时空特征表达和时空上下文关系建模存在着局限性,导致耕地的提取精度不佳;其次,对于耕地的变化分析,现有方法往往只关注基于行政单元的耕地面积统计变化,而对耕地变化在空间上的相关性分布特点考虑较少。因此,本文首先提出了一种时空上下文分类方法,综合表达和利用多时相影像中地物的光谱、纹理和空间等特征,建模时空维度上地物间在特征和语义上的上下文关系,来提高耕地覆盖分类的精度;其次,基于耕地覆盖的提取结果,在规则格网和行政区划单元上,采用GIS空间统计方法分析耕地变化的空间相关性特点;最后,以北京市顺义区为例,以2015—2019年的多时相Sentinel-2影像为数据源对本文方法进行验证。结果表明,与常见的2种多时相影像分类方法相比,本文方法在多时相耕地分类上精度最高,平均用户精度和制图精度分别达到91.21%和90.53%,所有类别的总体精度为90.79%。这表明本文方法能精确提取多时相耕地覆盖信息。通过对耕地变化的空间分布特点进行分析,发现2015—2019年顺义...     

LSTM支持下时序Sentinel-1A数据的太白山区植被制图

植被分类是森林资源调查与动态监测的基础与前提。当前植被分类研究大都利用光学遥感影像,然而,光学遥感成像易受到云雨覆盖的影响,难以构建完整时间序列,植被分类精度有限。微波遥感具有全天时全天候、时间序列完整的优势,在植被调查与分析中具有巨大的应用潜力。本文利用2018年Sentinel-1A微波遥感时间序列数据和深度循环网络方法,对秦岭太白山区的森林植被进行分类制图。首先利用Sentinel-2光学影像与数字高程数据对研究区进行多尺度分割;然后将处理后的时间序列Sentinel-1A数据空间叠加到分割地块上,构建地块的多元时间序列曲线;最后利用深度循环网络提取与学习多元时间序列的时序特征并分类。实验结果表明：① 与传统机器学习方法（如RF、SVM）相比,本文提出的深度循环网络方法的分类精度提高10%以上;② 在Sentinel-1A微波极化特征组合中VV+VH表现最好,与VV+VH+VV/VH极化特征组合的精度相近;③ 使用全年的时间影像构建时间序列分类精度最高,达到82%。研究表明,利用深度循环网络与时间序列Sentinel-1A数据的方法能够有效提高植被分类的精度,从数据源与分类方法上为森林植被分类研究提供了新的思路。     

The effect of wave breaking on surface wave imaging by Synthetic Aperture Radar

The effect of ocean wave breaking as a non-Bragg mechanism on backscattering cross-section and modulation transfer functions （MTF） of radar was investigated based on Bragg resonance theory and parametric method. The result showed that the additional effect of wave breaking on backscattering cross-section is not more than 20% except for the small incident angle of VV polarized electromagnetic （e.m.） wave but is significant for HH polarized e.m. wave. Breaking waves lead to increase in the modulus of tilt modulation MTF and the larger the wind speed, the faster the increase. For large incident angle, the modulus of tilt modulation MTF with wave breaking decreases quickly with incident angle for HH polarization and approach to that without wave breaking for VV polarization. The hydrodynamic MTF increases 30%-60% when considering wave breaking and the increase is larger for HH polarization than for VV polarization.     

漳平市森林可燃物类型变化遥感动态监测

森林可燃物类型的空间分布是林火蔓延、灭火可视化建模与仿真中需要考虑的重要因素之一。在对森林可燃物类型划分的研究进行回顾的基础上,提出了考虑树种信息的分类方法。根据漳平市2003年小班图层中的优势树种信息,获得该市2003年四种森林可燃物类型即竹林、阔叶树、杉木林以及马尾松的空间分布专题图。在此基础上,采用面向对象分类技术,对ASTER影像进行分类,探测每种可燃物类型的内部变化和外部变化。该技术利用影像分割技术构建分类对象,使每个对象具有光谱信息的同时,具备大小、形状、拓扑关系、类别层次等诸多信息。对分类结果进行评价的结果表明,利用面向对象分类技术,充分利用了光谱特征以及类别相关特征,提高了分类精度,分类的面积精度达到89.3%。由于影像分割过程应用了专题图层,对象的边界不会超越专题图层的边界,使得对现有图层的更新尤为容易。最后,利用矢量格式的遥感分类结果对原森林小班图层进行更新,获得新的可燃物类型图层,作为林火可视化模型的输入图层。该研究不仅提供了现势性强的森林可燃物类型图层,而且在不破坏原小班边界的基础上,对发生变化的区域进行刻画。对于森林资源管理者,提供了实地调查过程的目标区域的信息。     

Exploring the Potential of Mapping Cropping Patterns on Smallholder Scale Croplands Using Sentinel-1 SAR Data

It is of paramount importance to have sustainable agriculture since agriculture is the backbone of many nations’ economic development. Majority of agricultural professionals rarely capture the cropping patterns necessary to promote Good Agricultural Practises.Objective of this research is to explore the potential of mapping cropping patterns occurring on different field parcels on small-scale farmlands in Zimbabwe. The first study location under investigation are the International Maize and Wheat Improvement Center(CIMMYT) research station and a few neighboring fields, the second is Middle Sabi Estate. Fourier time series modeling was implemented to determine the trends befalling on the two study sites. Results reveal that Sentinel-1 synthetic aperture radar(SAR) time series allow detection of subtle changes that occur to the crops and fields respectively, hence can be utilized to detect cropping patterns on small-scale farmlands. Discrimination of the main crops(maize and soybean) grown at CIMMYT was possible, and crop rotation was synthesized where sowing starts in November. A single cropping of early and late crops was observed, there were no winter crops planted during the investigation period. At Middle Sabi Estate, single cropping on perennial sugarcane fields and triple cropping of fields growing leafy vegetables, tomatoes and onions were observed. Classification of stacked images was used to derive the crop rotation maps representing what is practised at the farming lands. Random forest classification of the multi-temporal image stacks achieved overall accuracies of 99% and 95% on the respective study sites. In conclusion, Sentinel-1 time series can be implemented effectively to map the cropping patterns and crop rotations occurring on small-scale farming land. We recommend the use of Sentinel-1 SAR multi-temporal data to spatially explicitly map cropping patterns of single-, double-and triple-cropping systems on both small-scale and large-scale farming areas to ensure food security.     

淤泥质潮滩湿地类型遥感识别分类方法与应用

依据江苏盐城国家珍禽自然保护区淤泥质潮滩湿地影像特征,快速提取高精度潮滩湿地地物信息对湿地生态保护具有重要的意义。本研究以2010年TM影像为数据源,针对海滨湿地植物覆被类型复杂,以及湿地植物类型之间的生态交错带信息难以识别等问题,综合运用植被NDVI指数、波段反射率特征、环境特征和生态条件,逐级分层分类及人工选取阈值等方法,较好地解决了淤泥质潮滩湿地分类问题。结果表明,与同一时期的监督分类相比较,在识别植被交错带植被覆被类型和零星分布的植被斑块的类型方面更具优势,分类精度有明显提高。通过ROI训练区,选取了3126个包括所有类型的样本进行精度检验,分类精度达到95.87%。该方法弥补了单一分类方法的不足,对快速、高精度地提取淤泥质潮滩地物类型具有重要的参考价值和实践意义。     

Geomorphic-centered classification of wetlands on the Qinghai-Tibet Plateau, Western China

In this paper a geomorphic-centered system was proposed for classifying the wetlands on the Qinghai-Tibet Plateau in western China, where the flora comprises primarily grasses. Although the geomorphic properties (e.g., elevation and morphology) of wetlands form the primary criteria of classification, this system also takes hydrological processes into implicit consideration. It represents an improvement over the hydrogeomorphic perspective as the relative importance of the two components (wetness and landform) of wetlands is clearly differentiated. This geomorphic-centered perspective yields insights into the hydrogeomorphic dynamics of plateau wetlands while indicates their vulnerability to change and degradation indirectly. According to this geomorphic-centered perspective, all plateau wetlands fall into one of the seven types of alpine, piedmont, valley, terrace, floodplain, lacustrine, and riverine in three elevational categories of upland, midland, and lowland. Upland (alpine and piedmont) wetlands with the steepest topography are the most sensitive to change whereas midland (floodplain, terrace and valley) wetlands are less vulnerable to degradation owing to a high water reserve except terrace wetlands. They have a dry surface caused by infrequent hydrological replenishment owing to their higher elevation than the channel. Low lying (lacustrine and riverine) wetlands are the most resilient. The geomorphic-centered perspective developed in this paper provides a framework for improving recognition and management of wetlands on the Plateau. Resilient wetlands can be grazed more intensively without the risk of degradation. Fragile and vulnerable wetlands require careful managementto avoid degradation.     

Evaluation of Wind Retrieval from Co-Polarization Gaofen-3 SAR Imagery Around China Seas

Gaofen-3(GF-3) is the first Chinese space-borne satellite to carry the C-band multi-polarization synthetic aperture radar(SAR). Marine applications, i.e., winds and waves retrieved from GF-3 SAR images, have been operational since January 2017. In this study, we have collected more than 1000 quad-polarization(vertical-vertical(VV); horizontal-horizontal(HH); vertical-horizontal(VH); horizontal-vertical(HV)) GF-3 SAR images, which were acquired around the China Seas from September 2016 to September 2017. Wind streaks were visible in these images in co-polarization(VV and HH) channel. Geophysical model functions(GMFs), including the CMOD5N together with polarization ratio(PR) model and C-SARMOD, were used to retrieve winds from the collected co-polarization GF-3 SAR images. Wind directions were directly obtained from GF-3 SAR images. Then, the SAR-derived wind speeds were compared with the measurements at a 0.25? grid from the Advanced Scatterometer on board the Metop-A/B and microwave radiometer WindSAT. Based on the analysis, empirical corrections are proposed to improve the performance of the two GMFs. Results of this study show that the standard deviation of wind speed is 1.63 m s^-1 with a 0.19 m s^-1 bias and 1.71 m s^-1 with a 0.26 m s^-1 bias for VV-and HH-polarization GF-3 SAR, respectively. Our work not only systematically evaluates wind retrieval by using the two advanced GMFs and PR models but also proposes empirical corrections to improve the accuracy of wind retrievals from GF-3 SAR images around the China Seas and thus enhance the accuracy of near real-time operational SAR-derived wind products.     

近20年京津唐地区不透水面变化的遥感监测

不透水面是衡量城市化程度的重要指标之一,对京津唐城市群的不透水面进行深入研究,可以量化城市群扩张过程及其影响,对该区域多城市协调发展及规划布局具有重要意义。本文结合高分辨遥感影像、生长季及落叶季的Landsat TM遥感影像和夜间灯光数据等,采用分类和回归树（Classification and rRegression Tree, CART）算法,构建了适于京津唐地区不透水面盖度提取的技术方案,获取了京津唐地区1995-2016年共5期地表不透水面盖度专题信息,并分析了地表不透水面的时空演变规律,结论为：① 适于京津唐地区不透水面盖度提取的CART算法的最佳输入变量组合为：生长季和落叶季的Landsat TM图像以及对应的夜间灯光数据;其次为生长季Landsat TM遥感图像和夜间灯光数据组合方案。利用该组合方案,ISP估算输出结果的交叉验证精度R值可以达到约0.85,可以满足地表不透水面纵向对比分析的需要。② 从地表不透水面总面积数量值来看,1995-2016年京津唐主体城市区域整体上呈增长趋势,其中2011-2016年地表不透水面积增加愈加明显;③ 从地表不透水面盖度值的高低来看,1995-2016年京津唐中、高盖度不透水面的占比都是在不断增长的,低盖度不透水面占比存在少量下降现象,且京、津、唐3城市的主体城区各阶段变化差异较大,反映出了各城市扩张具有各自不同的时空演变特征。     

Differentiated payments for environmental services schemes: Amethodology proposal

Payment schemes for environmental services face serious budget constraints in Mexico. Payments are equally distributed among forest owners, and the governmental agencies that make payments to beneficiaries do not evaluate the amount of environmental services produced by forested areas. This lack of evaluation could lead to economic and environmental deficiencies that restrict the possible benefits of such programmes. In general, these programmes do not achieve their conservation objectives, and local beneficiaries are not involved in the design or application of these programmes. Similarly, the Payments for Hydrological Environmental Services (PHES) programme of the State of Mexico, Mexico, makes equal payments to beneficiaries of forested areas considering tree density. The objective of the present work was to create a methodology for determining differentiated payments schemes for hydrological environmental services, prioritising areas that contribute the most to groundwater recharge and promote the participation of society. In the Nevado de Toluca Natural Protected Area, the environmental criteria of forest type, tree density and aquifer overexploitation as well as social participation were considered in a multi-criteria analysis implemented in a Geographic Information System. A methodology was developed to determine differentiated payments based on specific forest characteristics that influence the potential capacity of forests to recharge groundwater reserves in addition to the level of social participation. In particular, social participation is key as it could ensure the viability of PHES programmes as conservation alternatives in forested areas with high groundwater recharge potential.     

多时相影像的典型区农作物识别分类方法对比研究

基于甘蔗和玉米的物候特征差异,对多时相影像典型分类方法处理的适宜性和准确性进行了比较研究。并以目视解译结果作为参考数据,利用全样本检验法,对自动分类的结果进行了精度检验。试验结果表明:面向对象法的分类精度最高,总体Kappa系数为0.655,是最适宜的方法;其次是BP神经网络法和光谱角制图法,总体Kappa系数分别为0.635和0.631;而最大似然法和分类后比较法则是不适宜采纳的分类方法,总体Kappa系数分别为0.601和0.577。上述分析可见,它们对遥感分类处理多时相影像识别算法的适用性选取有一定参考意义。     

Evolution characteristics of hydrological connectivity pattern of marsh wetland in Naoli River Basin

As an important indicator of the structural and functional stability of wetland landscapes, hydrological connectivity plays an important role in maintaining the stability of wetland ecosystems. Large-scale human activities have led to significant changes in the hydrological connectivity pattern of wetlands in Naoli River Basin since 1950 s. Combined with the availability of wetland habitat and the spreading capacity of aquatic birds, hydrological connectivity indices of marsh wetlands were calculated in the studied area, and the temporal and spatial changes were analyzed from 1950 s to 2015. The results indicate that:(1) the hydrological connectivity index of the marsh wetlands shows a growth trend with increasing distance threshold. All patches of marsh wetlands linked together when the distance threshold reached 35--40 km;(2) the optimal distance of hydrological connectivity is about 10 km for marsh wetlands of whole Naoli River Basin;(3) the total hydrological connectivity of marsh wetlands decreased in the Naoli River Basin from 1950 s to 2015. Although the hydrological connectivity index increased after 2005, the fragmentation of the landscape has not been improved. The analysis of the wetland hydrological connectivity can provide a scientific basis for the ecological restoration and protection of the wetland in the Naoli River Basin.     

Effects of climate change on potential habitats of the cold temperate coniferous forest in Yunnan province,southwestern China

We built a classification tree(CT) model to estimate climatic factors controlling the cold temperate coniferous forest(CTCF) distributions in Yunnan province and to predict its potential habitats under the current and future climates, using seven climate change scenarios, projected over the years of 2070-2099. The accurate CT model on CTCFs showed that minimum temperature of coldest month(TMW) was the overwhelmingly potent factor among the six climate variables. The areas of TMW-4.05 were suitable habitats of CTCF, and the areas of -1.35 TMW were non-habitats, where temperate conifer and broad-leaved mixed forests(TCBLFs) were distribute in lower elevation, bordering on the CTCF. Dominant species of Abies, Picea, and Larix in the CTCFs, are more tolerant to winter coldness than Tsuga and broad-leaved trees including deciduous broad-leaved Acer and Betula, evergreen broadleaved Cyclobalanopsis and Lithocarpus in TCBLFs. Winter coldness may actually limit the cool-side distributions of TCBLFs in the areas between -1.35°C and -4.05°C, and the warm-side distributions of CTCFs may be controlled by competition to the species of TCBLFs. Under future climate scenarios, the vulnerable area, where current potential(suitable + marginal) habitats(80,749 km~2) shift to nonhabitats, was predicted to decrease to 55.91%(45,053 km~2) of the current area. Inferring from the current vegetation distribution pattern, TCBLFs will replace declining CTCFs. Vulnerable areas predicted by models are important in determining priority of ecosystem conservation.     

不同土地覆盖类型上植被生长的最适温度

生态过程模型已成为探测陆地植被对气候变化响应的重要手段之一,最适温度作为模型模拟过程中的一个重要参数,其准确性对模型模拟结果有重要影响。本研究以2001-2010年MODIS-NDVI、2001-2010年气象台站温度数据,以及2000年土地覆盖数据,结合前人研究的成果,将最适温度定义为适宜植物生长温度上下限之间所有月均温度的均值,并从植被类型角度出发,探讨不同植物生长的最适温度,以期为生态过程模型的改进提供参数优化方案。研究表明,不同植被类型植被生长的最适温度存在较大差异。常绿针叶林、常绿阔叶林、落叶针叶林、落叶阔叶林、混交林、灌丛、草地、农田和建设用地的最适温度,依次为22.4℃、23.4℃、14.1℃、19.5℃、20.7℃、22.6℃、15.4℃、24.8℃和25.6℃。     

Using modified Soil Conservation Service curve number method to simulate the role of forest in flood control in the upper reach of the Tingjiang River in China

To improve flood control efficiency and increase urban resilience to flooding, the impacts of forest type change on flood control in the upper reach of the Tingjiang River (URTR) were evaluated by a modified model based on the Soil Conservation Service curve number (SCS-CN) method. Parameters of the model were selected and determined according to the comprehensive analysis of model evaluation indexes. The first simulation of forest reconstruction scenario, namely a coniferous forest covering 59.35 km² is replaced by a broad-leaved forest showed no significant impact on the flood reduction in the URTR. The second simulation was added with 61.75 km² bamboo forest replaced by broad-leaved forest, the reduction of flood peak discharge and flood volume could be improved significantly. Specifically, flood peak discharge of 10-year return period event was reduced to 7-year event, and the reduction rate of small flood was 21%-28%. Moreover, the flood volume was reduced by 9%-14% and 18%-35% for moderate floods and small floods, respectively. The results suggest that the bamboo forest reconstruction is an effective control solution for small to moderate flood in the URTR, the effect of forest conversion on flood volume is increasingly reduced as the rainfall amount increases to more extreme magnitude. Using a hydrological model with scenarios analysis is an effective simulation approach in investigating the relationship between forest type change and flood control. This method would provide reliable support for flood control and disaster mitigation in mountainous cities.