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Current and near-term advances in Earth observation for ecological applications

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Ecological Processes 2021年第1期10卷 1-57页

作者： Susan L.ustin Elizabeth M.Middleton John Muir Institute of the Environment University of CaliforniaDavisCA 95616USA NASA/Goddard Space Flight Center(Emerita) GreenbeltMD 20771USA.

There is an unprecedented array of new satellite technologies with capabilities for advancing our understanding of ecological processes and the changing composition of the Earth’s biosphere at scales from local plots to the whole *** identified 48 instruments and 13 platforms with multiple instruments that are of broad interest to the environmental sciences that either collected data in the 2000s,were recently launched,or are planned for launch in this *** have restricted our review to instruments that primarily observe terrestrial landscapes or coastal margins and are available under free and open data *** focused on imagers that passively measure wavelengths in the reflected solar and emitted thermal *** suite of instruments we describe measure land surface characteristics,including land cover,but provide a more detailed monitoring of ecosystems,plant communities,and even some species then possible from historic *** newer instruments have potential to greatly improve our understanding of ecosystem functional relationships among plant traits like leaf mass area(LMA),total nitrogen content,and leaf area index(LAI).They provide new information on physiological processes related to photosynthesis,transpiration and respiration,and stress detection,including capabilities to measure key plant and soil biophysical *** include canopy and soil temperature and emissivity,chlorophyll fluorescence,and biogeochemical contents like photosynthetic pigments(e.g.,chlorophylls,carotenoids,and phycobiliproteins from cyanobacteria),water,cellulose,lignin,and nitrogen in foliar *** data will enable us to quantify and characterize various soil properties such as iron content,several types of soil clays,organic matter,and other *** of these satellites are in low Earth orbit(LEo),but we include a few in geostationary orbit(GEo)because of their potential to measure plant physiological traits over diurnal periods,impro

关键词： Terrestrial ecosystems Earth observing Satellites Ecosystem processes Physiological functions Multispectral Hyperspectral Thermal LiDAR Radar imagers Biochemistry Soil properties Species mapping Change detection 3D canopy structure Topography

The Development of a Geographic Information System(GIS) Database for Jiuzhaigou National Nature Reserve and Its Application

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Journal of Mountain Science 2013年第3期10卷 398-409页

作者： DI Bao-feng ZHANG Kai-shan TANG Ya ZHANG Ming-hua Susan L.ustin Department of Environmental Science and Engineering Sichuan University Department of Land Airand Water ResourcesUniversity of California Davis

The objective of this paper is to develop a GIS(Geographic Information System) database for Jiuzhaigou National Nature Reserve(Jiuzhaigou,hereafter) in China and demonstrate its application as a research tool.A cost-effective procedure was developed to compile a variety of geographical and biological data of the study area in terms of popular GIS format such as shape *** files were further calibrated and validated using field surveys *** developed GIS database was used to quantify the distributions of the wildlife(amphibians,mammals,and birds) using the distances of the wildlife to the centerline of the bus-tour *** Pearson correlation coefficient was used to quantify the correlation in space between pairs of different wildlife using the number of habitats for given space *** Arcobject-based macro was developed to perform the *** results showed the majority of the habitats of wildlife are located in the proximity of the tour-bus routes with an average distance ranging from 564 to 894 m depending on types of *** indicates a possibility of the disturbance to the wildlife by human *** correlation coefficient of the wildlife ranged from 0.36 to 0.64 depending on pairs of wildlife,indicating some correlations in ***,due to the limited sample size,the statistical significances need to be further *** paper has successfully demonstrated the use of the GIS-based database as a research tool for environmental study.

关键词： Geographic Information System (GIS) Database Remote sensing Wildlife CorrelationCoefficient Jiuzhaigou

Classification and detection of dominant factors in geospatial patterns of traditional settlements in China

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Journal of Geographical Sciences 2022年第5期32卷 873-891页

作者： WU Shaolin DI Baofeng Susan L.ustin Constantine A.STAMAToPoULoS LI Jierui ZUo Qi WU Xiao AI Nanshan College of Architecture and Environment Sichuan UniversityChengdu610065China Institute for Disaster Management and Reconstruction Sichuan University-The Hong Kong Polytechnic UniversityChengdu610207China John Muir Institute of the Environment University of California DavisDavisCA95616USA Stamatopoulos and Associates Co.&Hellenic open University Athens11471Greece

The geospatial distribution pattern in traditional Chinese settlements(TCSs)reflects the traditional harmony between humans and nature,which has been learned over ***,TCSs have experienced serious disturbances by urbanization and *** is crucial to explore the local wisdom of geospatial patterns and dominant factors for TCSs at the national scale in *** study sought to determine the geospatial wisdom of traditional settlements to enrich our future settlement development with the aim of establishing Chinese settlement values for modern ***,a dataset of 4000 TCSs were analyzed and clustered for environmental factors that affect their geospatial patterns by machine learning *** concluded that(1)five geospatial patterns of TCSs were clustered on a national scale,and the threshold of environmental factors of TCS groups was detected.(2)Environmental conditions and settlement concepts interacted and determined the similarities and differences among TCS groups.(3)The key boundary for TCSs and the dominant factors for each zone were determined,and topographical conditions and hydrologic resources played significant roles in all five TCS *** study provides a better understanding of the adaptability of the environment in relation to the TCSs and aids in planning TCS conservation and rural revitalization.

关键词： rural settlements geographical pattern rural revitalization traditional wisdom

基于时间序列Landsat影像的棉花估产模型

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农业工程学报 2015年第17期31卷 215-220页

作者：刘焕军孟令华张新乐 Susan ustin 宁东浩孙思雨东北农业大学资源与环境学院哈尔滨150030 Center for Spatial Technologies and Remote Sensing (CSTARS) Department of Land Air and Water Resources University of California

为提高棉花遥感估产精度,该文选取加州San Joaquin Valley地区2个棉花地块作为研究区,利用时间序列Landsat_5_TM、Landsat_7_ETM遥感影像数据,结合野外实测产量数据,进行棉花产量遥感预测模型研究。结果表明:基于Landsat影像纯像元的植... 详细信息

为提高棉花遥感估产精度,该文选取加州San Joaquin Valley地区2个棉花地块作为研究区,利用时间序列Landsat_5_TM、Landsat_7_ETM遥感影像数据,结合野外实测产量数据,进行棉花产量遥感预测模型研究。结果表明:基于Landsat影像纯像元的植被指数时间序列准确地揭示了棉花整个生长期的长势情况,不同长势的棉花植被指数随时间变化在花铃期差异比较显著;整个花铃期植被指数与产量之间的相关系数均大于0.80,最大相关系数达0.90,花铃期NDVI平均值建模决定系数为0.82,均方根误差为463.69,证明花铃期比其他生长期更适用于棉花产量预测;单一时期最优模型为第206天(7月25日),多时期最优模型以NDVI最大值前三期NDVI平均值为自变量;整个花铃期NDVI最大值建模决定系数为0.81,均方根误差为477.82,该模型具有普适性。该文的研究成果为基于MoDIS_NDVI最大值合成法的相关研究提供了理论依据,并且为其他农作物的估产模型建立提供借鉴。

关键词：遥感棉花模型 Landsat影像 NDVI 时间序列花铃期

基于时间序列高光谱遥感影像的田块尺度作物产量预测

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光谱学与光谱分析 2016年第8期36卷 2585-2589页

作者：刘焕军康苒 Susan ustin 张新乐付强盛磊孙天一东北农业大学资源与环境学院黑龙江哈尔滨150030 Center for Spatial Technologies and Remote Sensing(CSTARS) Department of LandAirand Water ResourcesUniversity of California

在精准农业领域,田块尺度土壤理化性质、作物长势、产量等存在极显著的空间异质性。高光谱遥感侧重于光谱维度信息的提取,未充分利用空间与时相信息,限制了植被长势、生物量与产量的监测精度。传统格网采样与地统计空间插值方法,耗时费... 详细信息

在精准农业领域,田块尺度土壤理化性质、作物长势、产量等存在极显著的空间异质性。高光谱遥感侧重于光谱维度信息的提取,未充分利用空间与时相信息,限制了植被长势、生物量与产量的监测精度。传统格网采样与地统计空间插值方法,耗时费力、成本高,难以推广;而遥感技术可以获取农作物生理参数的时空异质性信息,可以用于田块尺度的精准管理分区(SSMZ)。以田块尺度棉花地为研究对象,获取时间序列航空高光谱遥感影像,分析不同长势棉花的反射光谱特征,构建光谱指数,综合光谱、时相、空间维度信息,利用面向对象方法进行精准管理分区,建立产量遥感预测模型。结果表明:综合多维信息的面向对象分割方法优于基于象元的方法,可以部分消除遥感与产量数据噪声,提高棉花估产精度;不同植被指数与棉花产量的相关系数排序为一阶微分、NDVI、oSAVI、二阶微分;对于同一尺度、单一时相,一阶微分产量预测模型精度较高,多时相多光谱植被指数也可以得到较高精度;对于同一输入量、不同尺度,较少SSMZ个数的棉花产量预测模型精度更高、稳定性更好,这是由于影像与产量数据的空间定位存在一定的误差造成。研究成果将丰富作物长势、估产方法,提高遥感监测精度,加速无人机遥感在相关领域的应用。

关键词：光谱指数精准管理分区高光谱遥感时间序列产量

基于NDVI时间序列数据的施肥方式遥感识别方法

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农业工程学报 2019年第17期35卷 162-168页

作者：刘焕军武丹茜孟令华 Susan ustin 崔杨杨昊轩张新乐东北农业大学公共管理与法学院哈尔滨150030 中国科学院东北地理与农业生态研究所长春130102 Center for Spatial Technologies and Remote Sensing(CSTARS) Department for LandAIRand Water ResourcesUniversity of CaliforniaDavisUnited States 95616

农产品生产过程时空动态监测是有机/绿色农产品认证亟待解决的问题,不同施肥方式的时空精准识别是解决该问题的关键。本文以美国加州大学戴维斯分校长期定位实验为基本材料,利用时间序列Landsat 8和Sentinel-2影像研究长期施肥实验下不... 详细信息

农产品生产过程时空动态监测是有机/绿色农产品认证亟待解决的问题,不同施肥方式的时空精准识别是解决该问题的关键。本文以美国加州大学戴维斯分校长期定位实验为基本材料,利用时间序列Landsat 8和Sentinel-2影像研究长期施肥实验下不同施肥处理轮作地块的植被指数时间序列,对比分析不同施肥处理NDVI的差异以及NDVI与产量的相关性。结果表明:1)不同施肥处理下的NDVI时间序列曲线总体趋势相似,有机肥与化肥处理NDVI时间序列曲线差异较大;2)不同施肥处理NDVI随作物生长期呈现规律变化,生长初期和后期有机肥处理NDVI均值高于化肥处理,生长中期化肥处理高于有机肥处理;3)不同施肥处理下的NDVI与产量之间相关系数随作物生长期有规律变化,应用植被指数进行遥感估产需要考虑不同施肥处理的影响。研究成果初步探讨了利用不同施肥处理NDVI时间序列差异、NDVI与产量相关性差异区分有机肥与其他施肥方式,有望为有机/绿色农业的时空动态监测与认证提供遥感技术支持,深化遥感技术在农业领域应用。

关键词：施肥遥感施肥方式作物时间序列 NDVI

Direct ink writing of programmable functional silicone-based composites for 4D printing applications

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Interdisciplinary Materials 2022年第4期1卷 507-516页

作者： Zhiyang Lyu J.ustin Koh Gwendolyn J.H.Lim Danwei Zhang Ting Xiong Lei Zhang Siqi Liu Junfei Duan Jun Ding John Wang Jinlan Wang Yunfei Chen Chaobin He Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjingChina Department of Materials Science and Engineering National University of SingaporeSingaporeSingapore Agency for Science Technologyand Research(A*STAR)Institute of Materials Research and EngineeringSingaporeSingapore School of Materials Science and Engineering Changsha University of Science and TechnologyChangshaChina School of Physics Southeast UniversityNanjingChina

Polydimethylsiloxane(PDMS)has been widely used in flexible electronics,soft robotics,and ***,the fabrication of PDMS-based devices has mostly relied on conventional approaches,such as casting and molding,thereby limiting their *** we fabricate PDMS-based composites with programmable microstructures by direct ink writing and realize their practical functionalities of four-dimensional(4D)*** mechanical,thermomechanical and magnetic properties of the three-dimensional-printed composites can be well tailored by using carbon,metal,or ceramic functional *** taking advantage of the printable,flexible,and magnetic PDMS composites,we demonstrate new practical functionalities of 4D printing by designing programmable architectures,including magnetic-field-driven battery cases and patchworks,as well as arbitrary morphing ceramic *** particular,4D-printed batteries are constructed by PDMS-based battery cases for the first time,which can be actuated via external magnetic *** study broadens the paradigm of 4D printing for prospective applications,such as implant batteries,biomimetic engineering,and customized biomedical devices.

关键词： 4D printing 4D-printed batteries direct ink writing PDMS polymer-derived ceramics