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Acute interstitial pneumonia image enhancement using fuzzy partial transforms 基于模糊部分变换的急性间质性肺炎图像增强
IF 2.7 Q1 Social Sciences Pub Date : 2023-05-08 DOI: 10.1007/s12518-023-00509-8
Shaymaa Maki Kadham
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引用次数: 0
Integration, harmonization, and processing of geomatic data for bridge health assessment: the Lastra a Signa case study 桥梁健康评估中地理数据的整合、协调和处理:Lastra a Signa案例研究
IF 2.7 Q1 Social Sciences Pub Date : 2023-05-03 DOI: 10.1007/s12518-023-00510-1
Francesco Mugnai, Valentina Bonora, Grazia Tucci

A visual inspection, which entails field surveying, such as photodocumentation and footage, is the first step of a multi-level approach to bridge health assessment. Furthermore, the use of surface models, CAD drawings, and orthophotos, guarantees complete and accurate documentation, thus allowing for a better understanding of the environment, the anthropic structures, and their relationships. All the georeferenced surveys’ outputs are especially advisable within a prespective of periodical monitoring, as forseen by national legislation. The work is aimed to study two adjacent bridges over the Arno River in Lastra a Signa, Italy. One of the bridges, Ponte nuovo sull’Arno, is an overpass for motor vehicles. The other one, which is called Passarella sull’Arno, is a pedestrian viaduct. A topographic reference network has been settled using the GNSS survey technique. 3D point clouds of the bridges have been acquired by performing a Laser Scanning survey. A bathymetric survey has been carried out to acquire a 3D point cloud of submerged bridges’ parts and the riverbed. Through a Photogrammetric survey from RPAS, an orthophoto of the area has been built. Finally, evidence of historical submerged bridge structures has been identified thanks to the multi beam survey. The work’s objective is to integrate surveying geomatics techniques to create a reliable survey of the bridges, the surrounding area, and the riverbed, as support to the most common structural health assessment methods.

目视检查包括实地调查,如照片记录和录像,是多层次桥梁健康评估方法的第一步。此外,表面模型、CAD图纸和正射影像的使用,保证了完整和准确的文档记录,从而可以更好地理解环境、人类结构及其关系。如国家立法所预见的那样,从定期监测的角度来看,所有地理参考调查的产出都是特别可取的。这项工作的目的是研究意大利拉斯特拉的阿尔诺河上两座相邻的桥梁。其中一座桥,Ponte nuovo sull 'Arno,是一座机动车天桥。另一座叫做Passarella sull 'Arno,是一座人行高架桥。利用GNSS测量技术建立了地形参考网。通过激光扫描测量,获得了桥梁的三维点云。进行了水深测量,获得了沉桥部分和河床的三维点云。通过RPAS的摄影测量,建立了该地区的正射影像图。最后,通过多梁测量,确定了历史上水下桥梁结构的证据。这项工作的目标是整合测绘技术,对桥梁、周边地区和河床进行可靠的调查,作为最常见的结构健康评估方法的支持。
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引用次数: 2
Combining terrestrial, marine, and satellite gravity data to compute gravity potential values at IHRF stations 结合陆地、海洋和卫星重力资料计算IHRF站重力势值
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-29 DOI: 10.1007/s12518-023-00507-w
Leticia Cristina Ribeiro, Gabriel do Nascimento Guimarães, Giuliano Sant’Anna Marotta

In 2015, the International Association of Geodesy published a resolution on the International Height Reference System definition. It is defined that the vertical coordinate must be given in geopotential number and that the realization of this system must be done considering gravity values arranged homogeneously around the stations. However, it should be regarded that for the stations that are located on the coast. This fact can cause a loss in accuracy in determining the potential gravity. Until now, the studies consider only global gravity models, coming from satellite gravity missions to complement the data in the oceanic region and not considering high-frequency components of the gravity field measured at the surface. Consequently, this research considered shipboard-measured marine gravity data integrated with global marine gravity model data derived from altimetric satellites (DTU17 and GRAV31.1) to compute the gravity potential for the two coastal stations that are part of the International Height Reference Frame (IHRF) in Brazil, CEFT and IMBT stations. The gravity potential was computed following the standardization determinations for the IHRF, and the results showed that the marine gravity data incorporated into the computation did not contribute to accuracy.

2015年,国际大地测量学协会发布了一项关于国际高度参考系统定义的决议。定义了垂直坐标必须以位势数给出,并且该系统的实现必须考虑站周围均匀布置的重力值。然而,对于位于海岸上的车站来说,应该考虑到这一点。这一事实可能会导致确定潜在重力的准确性下降。到目前为止,这些研究只考虑全球重力模型,这些模型来自卫星重力任务,以补充海洋区域的数据,而没有考虑在地表测量的重力场的高频分量。因此,本研究考虑了船上测量的海洋重力数据与来自测高卫星(DTU17和GRAV31.1)的全球海洋重力模型数据相结合,以计算巴西国际高度参考框架(IHRF)的两个沿海站、CEFT站和IMBT站的重力势。重力势是根据IHRF的标准化测定进行计算的,结果表明,计算中包含的海洋重力数据对精度没有贡献。
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引用次数: 0
Advancing Erosion Control Analysis: A Comparative Study of Terrestrial Laser Scanning (TLS) and Robotic Total Station Techniques for Sediment Barrier Retention Measurement 推进侵蚀控制分析:陆地激光扫描(TLS)和机器人全站仪技术在沉积物屏障截留测量中的比较研究
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-26 DOI: 10.3390/geomatics3020019
Junshan Liu, R. Bugg, Cort W. Fisher
Sediment Barriers (SBs) are crucial for effective erosion control, and understanding their capacities and limitations is essential for environmental protection. This study compares the accuracy and effectiveness of Terrestrial Laser Scanning (TLS) and Robotic Total Station (RTS) techniques for quantifying sediment retention in SBs. To achieve this, erosion tests were conducted in a full-scale testing apparatus with TLS and RTS methods to collect morphological data of sediment retention surfaces before and after each experiment. The acquired datasets were processed and integrated into a Building Information Modeling (BIM) platform to create Digital Elevation Models (DEMs). These were then used to calculate the volume of accumulated sediment upstream of the SB system. The results indicated that TLS and RTS techniques could effectively measure sediment retention in a full-scale testing environment. However, TLS proved to be more accurate, exhibiting a standard deviation of 0.41 ft3 in contrast to 1.94 ft3 for RTS and more efficient, requiring approximately 15% to 50% less time per test than RTS. The main conclusions of this study highlight the benefits of using TLS over RTS for sediment retention measurement and provide valuable insights for improving erosion control strategies and sediment barrier design.
泥沙屏障是有效控制侵蚀的关键,了解其能力和局限性对环境保护至关重要。本研究比较了陆地激光扫描(TLS)和机器人全站仪(RTS)技术在定量SBs沉积物滞留量方面的准确性和有效性。为此,在全尺寸试验装置上进行侵蚀试验,采用TLS和RTS方法,收集每次试验前后泥沙截留面形态数据。获取的数据集被处理并集成到建筑信息模型(BIM)平台中,以创建数字高程模型(dem)。然后用这些来计算SB系统上游累积沉积物的体积。结果表明,TLS和RTS技术可以在全尺寸测试环境中有效地测量沉积物截留。然而,TLS被证明更准确,其标准偏差为0.41 ft3,而RTS的标准偏差为1.94 ft3,并且效率更高,每次测试所需的时间比RTS少约15%至50%。本研究的主要结论强调了使用TLS而不是RTS进行泥沙保持测量的好处,并为改进侵蚀控制策略和泥沙屏障设计提供了有价值的见解。
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引用次数: 1
Time-series analysis of MODIS (LST and NDVI) and TRMM rainfall for drought assessment over India 印度干旱评估的MODIS (LST和NDVI)和TRMM降雨时序分析
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-25 DOI: 10.1007/s12518-023-00505-y
P. Thanabalan, R. Vidhya, R. S. Kankara, R. Manonmani

Abstract

In this study, an attempt has been made using rainfall, LST, and NDVI combination of LSNR model which is used to infer drought condition in different monsoon period and to predict the seasonal changes of drought condition. The Indian monsoon pattern with different seasonal changes has been studied for the year 2009 to 2013 using optical and passive remote sensing data, and cross correlation with different time lag is carried out. The cross correlation between LST and NDVI time-lag deviation responses describe that May month LST having influence with September NDVI (90 days before onset) in other words 2–3 months. The correlation performed with a combination of rainfall and NDVI are not at significant level. The passive Advanced Microwave Scanning Radiometer (AMSR-E) derived soil moisture data also clearly examined the drought and normal years, as the soil moisture is highly sensitive to rainfall and temperature to assess drought condition. The relationship between Tropical Rainfall Meteorological Mission (TRMM) rainfall records is compared with observed Indian Meteorological Department (IMD) datasets for the same time period to confirm the drought severity. This will help in being prepared for the drought condition well before it actually sets in and is useful for planner in agricultural operations.

摘要本研究尝试将LSNR模型与降雨、LST和NDVI相结合,用于推断不同季风期的干旱状况,并预测干旱状况的季节变化。利用光学和被动遥感数据研究了2009-2013年不同季节变化的印度季风模式,并进行了不同时滞的互相关。LST和NDVI时间滞后偏差响应之间的交叉相关性描述了5月LST对9月NDVI(发病前90天)的影响,换句话说是2-3个月。降雨和NDVI的组合相关性不显著。被动高级微波扫描辐射仪(AMSR-E)获得的土壤水分数据也清楚地检查了干旱和正常年份,因为土壤水分对降雨量和温度高度敏感,可以评估干旱状况。将热带降雨气象任务(TRMM)降雨记录与印度气象部门(IMD)同期观测数据集之间的关系进行比较,以确认干旱的严重程度。这将有助于在干旱发生之前做好准备,对农业运营的规划者也很有用。
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引用次数: 1
Mapping Invasive Herbaceous Plant Species with Sentinel-2 Satellite Imagery: Echium plantagineum in a Mediterranean Shrubland as a Case Study 利用Sentinel-2卫星图像绘制入侵草本植物物种:以地中海灌木丛中的金车前草为例
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-18 DOI: 10.3390/geomatics3020018
P. Duncan, E. Podest, K. Esler, S. Geerts, C. Lyons
Invasive alien plants (IAPs) pose a serious threat to biodiversity, agriculture, health, and economies globally. Accurate mapping of IAPs is crucial for their management, to mitigate their impacts and prevent further spread where possible. Remote sensing has become a valuable tool in detecting IAPs, especially with freely available data such as Sentinel-2 satellite imagery. Yet, remote sensing methods to map herbaceous IAPs, which tend to be more difficult to detect, particularly in shrubland Mediterranean-type ecosystems, are still limited. There is a growing need to detect herbaceous IAPs at a large scale for monitoring and management; however, for countries or organizations with limited budgets, this is often not feasible. To address this, we aimed to develop a classification methodology based on optical satellite data to map herbaceous IAP’s using Echium plantagineum as a case study in the Fynbos Biome of South Africa. We investigate the use of freely available Sentinel-2 data, use the robust non-parametric classifier Random Forest, and identify the most important variables in the classification, all within the cloud-based platform, Google Earth Engine. Findings reveal the importance of the shortwave infrared and red-edge parts of the spectrum and the importance of including vegetation indices in the classification for discriminating E. plantagineum. Here, we demonstrate the potential of Sentinel-2 data, the Random Forest classifier, and Google Earth Engine for mapping herbaceous IAPs in Mediterranean ecosystems.
外来入侵植物对全球生物多样性、农业、健康和经济构成严重威胁。准确绘制iap地图对其管理、减轻其影响并尽可能防止进一步传播至关重要。遥感已成为探测iap的宝贵工具,特别是利用Sentinel-2卫星图像等免费数据。然而,绘制草本植物间相互作用的遥感方法仍然有限,因为草本植物间相互作用往往更难探测,特别是在地中海型灌木生态系统中。为了监测和管理,越来越需要大规模地检测草本类iap;然而,对于预算有限的国家或组织来说,这往往是不可行的。为了解决这个问题,我们旨在开发一种基于光学卫星数据的分类方法,以南非Fynbos生物群系的Echium plantagineum为例,绘制草本植物IAP的地图。我们研究了免费提供的Sentinel-2数据的使用,使用鲁棒非参数分类器Random Forest,并确定了分类中最重要的变量,所有这些都在基于云的平台Google Earth Engine中进行。研究结果揭示了短波红外光谱和红边光谱的重要性,以及将植被指数纳入金车前草的分类中对鉴别金车前草的重要性。在这里,我们展示了Sentinel-2数据、随机森林分类器和谷歌地球引擎在绘制地中海生态系统草本iap方面的潜力。
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引用次数: 0
High-Resolution Mapping of Seasonal Crop Pattern Using Sentinel Imagery in Mountainous Region of Nepal: A Semi-Automatic Approach 利用哨兵影像在尼泊尔山区进行季节性作物格局的高分辨率制图:一种半自动方法
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-06 DOI: 10.3390/geomatics3020017
Bhogendra Mishra, Rupesh Bhandari, K. P. Bhandari, Dinesh Mani Bhandari, Nirajan Luintel, Ashok Dahal, Shobha Poudel
Sustainable agricultural management requires knowledge of where and when crops are grown, what they are, and for how long. However, such information is not yet available in Nepal. Remote sensing coupled with farmers’ knowledge offers a solution to fill this gap. In this study, we created a high-resolution (10 m) seasonal crop map and cropping pattern in a mountainous area of Nepal through a semi-automatic workflow using Sentinel-2 A/B time-series images coupled with farmer knowledge. We identified agricultural areas through iterative self-organizing data clustering of Sentinel imagery and topographic information using a digital elevation model automatically. This agricultural area was analyzed to develop crop calendars and to track seasonal crop dynamics using rule-based methods. Finally, we computed a pixel-level crop-intensity map. In the end our results were compared to ground-truth data collected in the field and published crop calendars, with an overall accuracy of 88% and kappa coefficient of 0.83. We found variations in crop intensity and seasonal crop extension across the study area, with higher intensity in plain areas with irrigation facilities and longer fallow cycles in dry and hilly regions. The semi-automatic workflow was successfully implemented in the heterogeneous topography and is applicable to the diverse topography of the entire country, providing crucial information for mapping and monitoring crops that is very useful for the formulation of strategic agricultural plans and food security in Nepal.
可持续农业管理需要了解作物种植的地点和时间,它们是什么以及种植多长时间。然而,尼泊尔还没有这方面的资料。遥感加上农民的知识为填补这一空白提供了一个解决方案。在这项研究中,我们利用Sentinel-2 a /B时间序列图像和农民知识,通过半自动工作流程,在尼泊尔山区创建了高分辨率(10米)的季节性作物地图和种植模式。我们使用数字高程模型自动通过哨兵图像和地形信息的迭代自组织数据聚类来识别农业区域。对该农业地区进行了分析,以制定作物日历,并使用基于规则的方法跟踪季节性作物动态。最后,我们计算了一个像素级的作物强度图。最后,将我们的结果与实地收集的真实数据和已发表的作物日历进行比较,总体精度为88%,kappa系数为0.83。我们发现整个研究区域的作物种植强度和季节性作物推广存在差异,具有灌溉设施的平原地区的作物种植强度较高,干旱和丘陵地区的休耕周期较长。半自动工作流程在异质地形中成功实施,适用于整个国家的不同地形,为绘制和监测作物提供了重要信息,这对制定战略农业计划和尼泊尔的粮食安全非常有用。
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引用次数: 0
Combined adjustment of GNSS observation results and slit meter measurements for the displacement detection at the Dniester HPP dam GNSS观测结果与裂隙仪测量结果的联合平差在Dniester水电站坝体位移检测中的应用
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-05 DOI: 10.1007/s12518-023-00502-1
Kornyliy Tretyak, Oleksandr Zayats, Oleksandr Hrabovyi

The paper considers the combined adjustment problem both of GNSS and geotechnical sensor (slit meter) measurements to detect the deformations at large engineering structures. The study offers mathematical apparatus and formulates the basic restrictions for combined processing of geodetic and geotechnical data. A preliminary assessment indicates a significant improvement in the displacement detection accuracy (up to 1 mm in planar and vertical direction). The approbation of the proposed method was performed using time series of measurements of GNSS receivers and slit meters located on the Dniester hydroelectric power plant (HPP) dam for the period from 2017 to 2019. Gross errors were excluded before processing from all the time series of observations in the semi-automatic mode using a specially designed filter. Additionally, the high-frequency noise was removed by low-pass filter (period 0.2 years). The analysis of obtained adjustment results proved the effectiveness of the proposed method. However, a number of shortcomings were identified, related to non-compliance with the main restrictions: systematic errors in the input data, lack of strict parallelism of slit meters axis to the coordinates axis of local reference system, and violation of monolithic conditions of separate blocks of the objects where slit meters are installed.

本文考虑了GNSS与岩土传感器(裂隙仪)测量相结合的平差问题,用于大型工程结构的变形检测。研究为大地测量与岩土资料的联合处理提供了数学工具,并提出了基本的约束条件。初步评估表明,位移检测精度显著提高(平面和垂直方向可达1毫米)。通过对2017年至2019年期间位于德涅斯特水电站(HPP)大坝的GNSS接收器和狭缝仪的时间序列测量,对所提出的方法进行了验证。在半自动化模式下,所有时间序列观测数据在处理前均采用特殊设计的滤波器排除了粗误差。此外,采用低通滤波(周期0.2年)去除高频噪声。对得到的平差结果进行了分析,证明了所提方法的有效性。然而,也发现了一些不足之处,主要与不符合主要限制条件有关:输入数据存在系统误差,狭缝仪轴线与当地参照系坐标轴线缺乏严格的平行性,以及狭缝仪安装对象的独立块不符合整体条件。
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引用次数: 1
Closed-form solution to point- and plane-based co-registration of terrestrial LiDAR point clouds 陆地激光雷达点云点与平面协同配准的封闭解决方案
IF 2.7 Q1 Social Sciences Pub Date : 2023-04-01 DOI: 10.1007/s12518-023-00498-8
Elizeu Martins de Oliveira Jr., Daniel Rodrigues dos Santos

Co-registration is required when the alignment of two or more point clouds obtained for mapping natural and built environments is needed. While closed-form solutions are suitable for co-registration, most of the existing approaches rely on unit quaternion solutions for the estimation of transformation parameters from point or plane correspondences. This paper presents a novel co-registration of terrestrial light detection and ranging point clouds solution to create globally consistent 3-D environments. Our method exploits the advantages of the dual quaternion solution combining both points and plane correspondences. The role of our relaxation labeling technique in 3-D matching (3PRL) is investigated, and its efficiency to find the best plane correspondences is shown. The paper also presents a method to treat degenerate plane configurations with corresponding virtual points. Experimental results reveal that our 3PRL technique can update and improve the 3-D matching probabilities using binary relations. At the same time, the proposed dual quaternions point- and plane-based optimization indicated that the mathematical optimization might represent a valid model for co-registration of point clouds. A closer inspection of co-registration accuracy revealed that the translation and rotation error mean decreased drastically, with margins between 0.10 m and 0.17 m and 0.01° and 0.33°, respectively. Experiments have shown that our method generally achieves better results than existing methods.

当需要对绘制自然和建筑环境所获得的两个或多个点云进行对齐时,需要进行共同配准。虽然封闭解适合于共配准,但现有的方法大多依赖于单位四元数解来估计点或平面对应的变换参数。本文提出了一种新的地面光探测和测距点云的共同配准解决方案,以创建全球一致的三维环境。我们的方法利用了对偶四元数解结合点与平面对应的优点。研究了松弛标记技术在三维匹配(3PRL)中的作用,并证明了其寻找最佳平面对应的效率。本文还提出了一种用相应虚点处理退化平面构型的方法。实验结果表明,我们的3PRL技术可以利用二元关系更新和提高三维匹配概率。同时,提出的基于点与平面的双四元数优化方法表明,该数学优化方法可能是一种有效的点云共配准模型。仔细检查共配准精度,发现平移和旋转误差平均值急剧下降,分别在0.10 m和0.17 m之间,0.01°和0.33°之间。实验表明,该方法总体上优于现有方法。
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引用次数: 0
Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh 时间序列Sentinel-1和Sentinel-2图像在孟加拉国部分地区水稻作物库存中的应用
IF 2.7 Q1 Social Sciences Pub Date : 2023-03-30 DOI: 10.1007/s12518-023-00501-2
Md. Abdullah Aziz, Dipanwita Haldar, Abhishek Danodia, Prakash Chauhan

Abstract  

Synergistic use of satellite data has an advantage over single-source data as optical, thermal, and microwave datasets. Previous studies have demonstrated the efficacy and focused mainly on the edge of the multisensory data over the stand-alone system due to primarily multi-dimension input. Crop classification and crop type mapping is the first step in the natural resource management theme, especially in agriculture. During the rainy season, accurate crop classification with crop-cultivar type mapping is the most challenging target to achieve using optical datasets. Therefore, the study’s prime focus was to extract the temporal signature of rice crop types from multi-temporal SAR datasets and classify various rice crop types based on sowing timing in the dominant production zone of rice, the Jashore district of Bangladesh. Sentinel-1 datasets were used primarily for the rainy season from July to September 2018; in addition, Sentinel-2 data of October was used to understand the relationships among these datasets. The temporal signature of various types of rice and others features was interpreted. Besides, the correlation between Sentinel-1 backscatter with Sentinel-2 derived indices has been exercised to find out a comprehensive framework for selection of optical vegetation indices which may be used as a proxy of SAR or vice-versa. The classified image from Sentinel-2 has around 80% overall accuracy, and 0.71 value of kappa coefficient for rice crop type mapping was comparable to SAR (about 80% for late sown crop and slightly less for the other 2 classes); class accuracy of the rice crop is 88–90% using three-date dual-polarized data. The latter’s advantage is early estimate availability during the initial crop phase when optical data is not available. Three types of rice were observed to be cultivated; these are early transplanted rice, late transplanted rice, and very late transplanted rice; among them, late transplanted rice covered a large area, and early transplanted rice covered lesser areas during the session. Sentinel-2 derived spectral indices have a higher correlation with very late rice crop type for VV backscatter than early (where the response in VH was significant probably after saturation in VV response due to matured crop) and late rice crop types. Understanding the micro and macro-scale crop structure from a multisource- remote-sensing perspective builds novelty in this research.

摘要与光学、热学和微波数据集等单一来源数据相比,卫星数据的协同使用具有优势。先前的研究已经证明了其有效性,并且由于主要是多维输入,主要集中在独立系统上的多感官数据的边缘。作物分类和作物类型制图是自然资源管理主题的第一步,尤其是在农业领域。在雨季,使用光学数据集实现准确的作物分类和作物品种类型映射是最具挑战性的目标。因此,该研究的主要重点是从多时相SAR数据集中提取水稻作物类型的时间特征,并根据水稻主产区孟加拉国Jashore区的播种时间对各种水稻作物类型进行分类。Sentinel-1数据集主要用于2018年7月至9月的雨季;此外,10月份的Sentinel-2数据被用来了解这些数据集之间的关系。解释了不同类型水稻的时间特征和其他特征。此外,还对Sentinel-1反向散射与Sentinel-2衍生指数之间的相关性进行了研究,以找到一个选择光学植被指数的综合框架,该框架可以用作SAR的代理,反之亦然。Sentinel-2的分类图像具有约80%的总体准确度,水稻作物类型映射的kappa系数值为0.71,与SAR相当(晚播作物约为80%,其他两类略低);使用三日期双极化数据,水稻作物的分类准确率为88–90%。后者的优点是在光学数据不可用的情况下,在初始作物阶段早期估计可用性。观察到有三种类型的水稻被种植;这些是早稻、晚稻和晚稻;其中,后期插秧面积较大,前期插秧面积较小。Sentinel-2衍生的光谱指数与晚稻作物类型的VV反向散射的相关性高于早稻作物类型(其中VH的响应可能在由于作物成熟导致VV响应饱和之后才显著)和晚稻作物类别。从多源遥感的角度理解微观和宏观尺度的作物结构是本研究的创新。
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引用次数: 1
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Applied Geomatics
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