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Eucalyptus carbon stock estimation in subtropical regions with the modeling strategy of sample plots–airborne LiDAR–Landsat time series data

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Forest Ecosystems 2023年第6期10卷 700-716页

作者： Xiandie Jiang Dengqiu Li Guiying Li dengsheng lu Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education Fujian Normal UniversityFuzhou350117China Institute of Geography Fujian Normal UniversityFuzhou350117China Fujian Provincial Engineering Research Center for Forest Carbon Metering Fujian Normal UniversityFuzhou350117China

Updating eucalyptus carbon stock data in a timely manner is essential for better understanding and quantifying its effects on ecological and hydrological *** present,there are no suitable methods to accurately estimate the eucalyptus carbon stock in a large *** research aimed to explore the transferability of the eucalyptus carbon stock estimation model at temporal and spatial scales and assess modeling performance through the strategy of combining sample plots,airborne LiDAR and Landsat time series data in subtropical regions of ***,eucalyptus carbon stock estimates in typical sites were obtained by applying the developed models with the combination of airborne LiDAR and field measurement data;the eucalyptus plantation ages were estimated using the random localization segmentation approach from Landsat time series data;and regional models were developed by linking LiDAR-derived eucalyptus carbon stock and vegetation age(e.g.,months or years).To examine the models’robustness,the developed models at the regional scale were transferred to estimate carbon stocks at the spatial and temporal scales,and the modeling results were evaluated using validation samples *** results showed that carbon stock can be successfully estimated using the age-based models(both age variables in months and years as predictor variables),but the month-based models produced better estimates with a root mean square error(RMSE)of 6.51 t⋅ha1 for Yunxiao County,Fujian Province,and 6.33 t⋅ha1 for Gaofeng Forest Farm,Guangxi Zhuang Autonomous ***,the month-based models were superior for estimating the carbon stocks of young eucalyptus plantations of less than two *** model transferability analyses showed that the month-based models had higher transferability than the year-based models at the temporal scale,indicating their possibility for analysis of carbon stock ***,both the month-based and year-based models expressed rela

关键词： Forest carbon stock Eucalyptus plantation Airborne LiDAR Landsat time series Forest age

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Integration of Landsat time-series vegetation indices improves consistency of change detection

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International Journal of Digital Earth 2023年第1期16卷 1276-1299页

作者： Mingxing Zhou Dengqiu Li Kuo Liao dengsheng lu Institute of Geography Fujian Normal UniversityFuzhouPeople’s Republic of China Fujian Provincial Key Laboratory for Subtropical Resources and Environment Fujian Normal UniversityFuzhouPeople’s Republic of China School of Environmental&Resource Sciences Zhejiang A&F UniversityHangzhouPeople’s Republic of China Wuyi Mountain National Meteorological Observation Station WuyishanPeople’s Republic of China

Vegetation indices(VIs)were used to detect when and where vegetation changes ***,different VIs have different or even diametrically opposite results,which obstructed the in-depth understanding of vegetation ***,this study examined the spatial and temporal consistency offive VIs(EVI;NBR;NDMI;NDVI;and NIRv)in detecting abrupt and gradual vegetation changes,and provided an ensemble algorithm which integrated the change detection results of thefive indices to reduce the uncertainty of change detection using a single *** spatial consistency of thefive indices in abrupt change detection accounted for 50.6%of the study area,but the temporal consistency was low(21.6%).Wetness indices(NBR,NDMI)were more sensitive to negative abrupt changes,greenness indices(EVI,NDVI,NIRv)were more sensitive to positive abrupt changes;and both types of indices were similar in detecting gradual and total *** overall accuracy of the ensemble method was 81.60%and higher than that of any single index in abrupt change *** study provides a comprehensive evaluation of the spatial and temporal inconsistencies of change detection in model-fitting errors and various types of vegetation *** proposed ensemble method can support robust change-detection.

关键词： Breaks for Additive Season and Trend ensemble algorithm consistence of vegetation change vegetation index

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Methods to extract impervious surface areas from satellite images

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International Journal of Digital Earth 2014年第2期7卷 93-112页

作者： dengsheng lu Guiying Li Wenhui Kuang Emilio Moran Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration Zhejiang A&F UniversityLin’AnZhejiangChina School of Environmental and Resource Sciences Zhejiang A&F UniversityLin’AnZhejiangChina Center for Global Change and Earth Observations Michigan State UniversityEast LansingMIUSA Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijingChina

Impervious surface area(ISA)is an important parameter for many environmental or socioeconomic relevant *** unique characteristics of remote sensing data made it the primary data source for ISA mapping at various *** paper summarizes general ISA mapping procedure and major techniques and discusses impacts of scale issues on selection of remote sensing data and corresponding *** studies have indicated that ISA mapping remains a challenge,especially in urban–rural frontiers and in covering a large *** employing rich spatial information in high spatial resolution imagery through texture and objectbased methods is *** fusion of multi-resolution images and spectral mixture analysis are common approaches to reduce the mixed pixel problem in medium spatial resolution images such as *** spatial resolution images such as MODIS and DMSP-OLS are valuable for national and global ISA mapping but more research is needed to effectively integrate multisource/scale data for improving mapping *** of an optimal procedure corresponding to specific study areas and purposes is required to generate accurate ISA mapping results.

关键词： satellite images impervious surface area mapping modeling

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Retrieval of forest canopy height in a mountainous region with ICESat-2 ATLAS

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Forest Ecosystems 2022年第4期9卷 491-502页

作者： Shiyun Pang Guiying Li Xiandie Jiang Yaoliang Chen Yagang lu dengsheng lu State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province Fujian Normal UniversityFuzhou350007China Institute of Geography Fujian Normal UniversityFuzhou350007China Institute of East China Inventory and Planning National Forestry and Grassland AdministrationHangzhou310019China

Forest canopy height is one of the important forest parameters for accurately assessing forest biomass or carbon sequestration. ICESat-2 ATLAS provides the potential for retrieval of forest canopy height at global or regional scale, but the current canopy height product (ATL08) has coarse resolution and high uncertainty compared to airborne LiDAR-derived canopy height (hereafter ALCH) in mountainous regions, and is not ready for such applications as biomass modeling at finer scale. The objective of this research was to explore the approach to accurately retrieve canopy height from ATLAS data by incorporating an airborne-derived digital terrain model(DTM) and a data-filtering strategy. By linking ATLAS ATL03 with ATL08 products, the geospatial locations,types, and (absolute) heights of photons were obtained, and canopy heights at different lengths (from 20 to 200 m at 20-m intervals) of segments along a track were computed with the aid of airborne LiDAR DTM. Based on the relationship between the numbers of canopy photons within the segments and accuracy of ATLAS mean canopy height compared to ALCH, a filtering method for excluding a certain portion of unreliable segments was *** method was further applied to different ATLAS ground tracks for retrieval of canopy heights and the results were evaluated using corresponding ALCH. The results show that the incorporation of high-precision DTM and ATLAS products can considerably improve the retrieval accuracy of forest canopy height in mountainous *** the proposed filtering approach, the correlation coefficients (r) between ATLAS canopy height and corresponding ALCH were 0.61–0.91, 0.65–0.92, 0.68–0.94 for segment lengths of 20, 60, and 100 m, respectively;RMSE were 1.90–4.35, 1.55–3.63, and 1.34–3.23 m for the same segment lengths. The results indicate the necessity of using high-precision DTM and using the proposed filtering method to retrieve accurate canopy height from ICESat-2 ATLAS in mountainous re

关键词： Airborne LiDAR Canopy height ICESat-2 ATLAS Mountainous region Segment filtering

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Exploring Tree Species Classification in Subtropical Regions with a Modified Hierarchy-Based Classifier Using High Spatial Resolution Multisensor Data

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Journal of Remote Sensing 2022年第1期2022卷 146-161页

作者： Xiandie Jiang Shuai Zhao Yaoliang Chen dengsheng lu State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province Fujian Normal UniversityFuzhouChina 350007 Institute of Geography Fujian Normal UniversityFuzhouChina

Tree species distribution is valuable for forest resource ***,it is a challenge to classify tree species in subtropical regions due to complex landscapes and limitations of remote sensing *** objective of this study was to propose a modified hierarchy-based classifier(MHBC)by optimizing the classification tree structures and variable selection *** steps to create an MHBC include automatic determination of classification tree structures based on the Z-score algorithm,selection and optimization of variables for each node,and classification using the optimized *** based on the fusion of Gaofen-1/Ziyuan-3 panchromatic(GF-1/ZY-3 PAN)and Sentinel-2 multispectral(MS)data indicated that(1)the MHBC provided overall classification accuracies of 85.19%for Gaofeng Forest Farm in China’s southern subtropical region and 94.4%for Huashi Township in China’s northern subtropical region,which had higher accuracies than random forest(RF)and classification and regression tree(CART);(2)critical variables for each class can be identified using the MHBC,and optimal variables of most nodes are spectral bands and vegetation indices;(3)compared to results from RF and CART,MHBC mainly improved the accuracies of the lower levels of classification tree structures(difficult classes to separate).The novelty in using MHBC is its simple and practical operation,easy-to-understand,and visualized variables that were selected in each node of the automatically constructed hierarchical *** robust performance of MHBC implies the potential to apply this approach to other sites for accurate classification of forest types.

关键词： Spatial Modified steps

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An EcoCity model for regulating urban land cover structure and thermal environment： Taking Beijing as an example

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Science China Earth Sciences 2017年第6期60卷 1098-1109页

作者： KUANG WenHui YANG TianRong LIU AiLin ZHANG Chi lu dengsheng CHI WenFeng Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences 830011 China Zhejiang A&F University Hangzhou 311300 China Michigan State University East Lansing MI 48823 USA College of Desert Control Science and Engineering Inner Mongolia Agricultural University Hohhot 010018 China

Urban land-use/cover changes and their effects on the eco-environment have long been an active research topic in the urbanization field. However, the characteristics of urban inner spatial heterogeneity and its quantitative relationship with thermal environment are still poorly understood, resulting in ineffective application in urban ecological planning and *** the integration of "spatial structure theory" in urban geography and "surface energy balance" in urban climatology, we proposed a new concept of urban surface structure and thermal environment regulation to reveal the mechanism between urban spatial structure and surface thermal environment. We developed the EcoCity model for regulating urban land cover structure and thermal environment, and established the eco-regulation thresholds of urban surface thermal environments. Based on the comprehensive analysis of experimental observation, remotely sensed and meteorological data, we examined the spatial patterns of urban habitation, industrial, infrastructure service, and ecological spaces. We examined the impacts of internal land-cover components(e.g., urban impervious surfaces, greenness, and water) on surface radiation and heat flux. This research indicated that difference of thermal environments among urban functional areas is closely related to the proportions of the land-cover *** highly dense impervious surface areas in commercial and residential zones significantly increased land surface temperature through increasing sensible heat flux, while greenness and water decrease land surface temperature through increasing latent heat flux. We also found that different functional zones due to various proportions of green spaces have various heat dissipation roles and ecological thresholds. Urban greening projects in highly dense impervious surfaces areas such as commercial, transportation, and residential zones are especially effective in promoting latent heat dissipation efficiency of v

关键词： Urban land-use/cover Urban impervious surface Ecological regulation Thermal environment Remote sensing

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A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

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International Journal of Digital Earth 2016年第1期9卷 63-105页

作者： dengsheng lu Qi Chen Guangxing Wang Lijuan Liu Guiying Li Emilio Moran Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration School of Environmental&Resource SciencesZhejiang A&F UniversityLin’AnChina Center for Global Change and Earth Observations Michigan State UniversityEast LansingMIUSA Department of Geography University of Hawaii at MānoaHonoluluHIUSA Department of Geography and Environmental Resources Southern Illinois University at CarbondaleCarbondaleILUSA

Remote sensing-based methods of aboveground biomass(AGB)estimation in forest ecosystems have gained increased attention,and substantial research has been conducted in the past three *** paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issues–collection of field-based biomass reference data,extraction and selection of suitable variables from remote sensing data,identification of proper algorithms to develop biomass estimation models,and uncertainty analysis to refine the estimation ***,we discuss the impacts of scales on biomass estimation performance and describe a general biomass estimation *** optical sensor and radar data have been primary sources for AGB estimation,data saturation is an important factor resulting in estimation *** Detection and Ranging(lidar)can remove data saturation,but limited availability of lidar data prevents its extensive *** literature survey has indicated the limitations of using single-sensor data for biomass estimation and the importance of integrating multi-sensor/scale remote sensing data to produce accurate estimates over large *** research is needed to extract a vertical vegetation structure(*** height)from interferometry synthetic aperture radar(InSAR)or optical stereo images to incorporate it into horizontal structures(*** cover)in biomass estimation modeling.

关键词： aboveground biomass forest ecosystems parametric vs.nonparametric algorithms remote sensing uncertainty

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Remote sensing-based artificial surface cover classification in Asia and spatial pattern analysis

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Science China Earth Sciences 2016年第9期59卷 1720-1737页

作者： KUANG WenHui CHEN LiJun LIU JiYuan XIANG WeiNing CHI WenFeng lu dengsheng YANG TianRong PAN Tao LIU AiLin Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China National Geomatics Center of China Beijing 100830 China School of Ecological and Environmental Sciences East China Normal University Shanghai 200241 China University of North Carolina at Charlotte NC 28223 USA School of Environmental & Resource Sciences Zhejiang A&F University Hangzhou 311300 China Michigan State University East Lansing M148823 USA State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi 830011 China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China

Artificial surfaces, characterized with intensive land-use changes and complex landscape structures, are important indicators of human impacts on terrestrial ecosystems. Without high-resolution land-cover data at continental scale, it is hard to evaluate the impacts of urbanization on regional climate, ecosystem processes and global environment. This study constructed a hierarchical classification system for artificial surfaces, promoted a remote sensing method to retrieve subpixel components of artificial surfaces from 30-m resolution satellite imageries(Globe Land30) and developed a series of data products of high-precision urban built-up areas including impervious surface and vegetation cover in Asia in 2010. Our assessment, based on multisource data and expert knowledge, showed that the overall accuracy of classification was 90.79%. The mean relative error for the impervious surface components of cities was 0.87. The local error of the extracted information was closely related to the heterogeneity of urban buildings and vegetation in different climate zones. According to our results, the urban built-up area was 18.18×104 km2, accounting for 0.59% of the total land surface areas in Asia; urban impervious surfaces were 11.65×104 km2, accounting for 64.09% of the total urban built-up area in Asia. Vegetation and bare soils accounted for 34.56% of the urban built-up areas. There were three gradients: a concentrated distribution, a scattered distribution and an indeterminate distribution from east to west in terms of spatial pattern of urban impervious surfaces. China, India and Japan ranked as the top three countries with the largest impervious surface areas, which respectively accounted for 32.77%, 16.10% and 11.93% of the urban impervious surface area of Asia. We found the proportions of impervious surface and vegetation cover within urban built-up areas were closely related to the economic development degree of the country and regional climate environment. Built-

关键词： Artificial surface cover City Impervious surface Vegetation cover Remote sensing classification Asia

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Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon

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International Journal of Digital Earth 2017年第10期10卷 996-1016页

作者： Yunyun Feng dengsheng lu Qi Chena Michael Keller Emilio Moran Maiza Nara dos-Santos Edson luis Bolfe Mateus Batistella The Nurturing Station for the State Key Laboratory of Subtropical Silviculture Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang ProvinceSchool of Environmental&Resource SciencesZhejiang Agriculture and Forestry UniversityLin AnPeople’s Republic of China Center for Global Change and Earth Observations Michigan State UniversityEast LansingMIUSA Department of Geography University of Hawaii at ManoaHonoluluHIUSA Brazilian Agricultural Research Corporation–Embrapa Informática Agropecuária CampinasBrazil USDA Forest Service International Institute of Tropical ForestryRio PiedrasPRUSA Brazilian Agricultural Research Corporation–Embrapa Secretariat of Intelligence and Macro StrategyBrasíliaBrazil Brazilian Agricultural Research Corporation(Embrapa) BrasíliaBrazil

Previous research has explored the potential to integrate lidar and optical data in aboveground biomass(AGB)estimation,but how different data sources,vegetation types,and modeling algorithms influence AGB estimation is poorly *** research conducts a comparative analysis of different data sources and modeling approaches in improving AGB ***-based spectral responses and textures,lidar-derived metrics,and their combination were used to develop AGB estimation *** results indicated that(1)overall,RapidEye data are not suitable for AGB estimation,but when AGB falls within 50–150 Mg/ha,support vector regression based on stratification of vegetation types provided good AGB estimation;(2)Lidar data provided stable and better estimations than RapidEye data;and stratification of vegetation types cannot improve estimation;(3)The combination of lidar and RapidEye data cannot provide better performance than lidar data alone;(4)AGB ranges affect the selection of the best AGB models,and a combination of different estimation results from the best model for each AGB range can improve AGB estimation;(5)This research implies that an optimal procedure for AGB estimation for a specific study exists,depending on the careful selection of data sources,modeling algorithms,forest types,and AGB ranges.

关键词： Lidar RapidEye aboveground biomass moist tropical forest support vector regression random forest linear regression stratification

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Spatiotemporal dynamics of impervious surface areas across China during the early 21st century

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Chinese Science Bulletin 2013年第5期58卷 1691-1701页

作者： KUANG WenHui LIU JiYuan ZHANG ZengXiang lu dengsheng XIANG Bao Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Institute of Remote Sensing Application Chinese Academy of Sciences Michigan State University Chinese Research Academy of Environmental Sciences

China has experienced an unprecedented urbanization and industrialization in the past decades. In this research, we examined the dynamics of construction lands and impervious surface areas (ISA) based on land use/cover change and ISA datasets between 2000 and 2008, which were provided by the national resources and environmental remote sensing information platform. The results indicated that the construction areas and ISA increased by 3468.30 and 2212.24 km 2 /a in this period primarily due to the implementation of national macro-development strategies and fast-growing economy. In 2008, ISA accounted for 0.86% of the total land area in China. Urban land areas increased by 43.46% between 2000 and 2008. The annual growth rate of 1788.22 km 2 /a in this period was 2.18 times that in the 1990s. In particular, urban ISA increased by 53.30% between 2000 and 2008 with an annual growth rate of 1348.85 km 2 /a. During the 8 years, the ISA in China increased rapidly, especially in the Beijing-Tianjin-Tangshan Metropolitan Region, Pearl River Delta, Yangtze River Delta, and the western China region. The increasing ISA may influence potentially water environmental quality in the major basins. In particular, the number of subbasins having ISA of greater than 10% increased considerably, which were primarily distributed in the Haihe River, Yangtze River and Pearl River basins. In 2008, 14.42% of the basin areas were affected by the increased ISA.

关键词：中国西部地区土地面积透水地面时空动态土地利用覆盖变化年均增长率长江三角洲 ISA

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