Mapping, remote sensing, and geospatial data software. Triggered by earthquakes, rainfall, or anthropogenic activities, landslides represent widespread and problematic geohazards worldwide. Since 2002, a number of organizations and individuals have contributed directly to realizing arkansasview goals and initiatives. Remote sensing is used in numerous fields, including geography, land surveying and most earth science disciplines for example, hydrology, ecology, meteorology, oceanography, glaciology, geology. Multisource information processing and fusion for enhanced satellite remote sensing lu yilong 21at asia use of sensor analytics to develop and improve home fire alarm devices hfad. Prioritybased online flow scheduling for network throughput maximization in software defined networking. Gps, rs remote sensing advanced gis research interests environmental health mapping and simulating. Advances in remote sensing, finite differences and information security proceedings of the 5th wseas international conference on finite differences finite elements finite volumes boundary elements fandb 12 proceedings of the 8th wseas international conference on remote sensing remote 12. Remote sensing applications are similar to graphics software, but they enable generating geographic information from satellite and airborne sensor data. Feng gao usdaars hydrology and remote sensing lab verified email at da.
Terrestrial information extraction and applications edited by shunlin liang, xiaowen li, and jindi wang. International journal of remote sensing 34 7, 26072654, 20. Dualsatellite sentinel2 and landsat 8 remote sensing of supraglacial. Research physical scientist usdaars hydrology and remote sensing laboratory bldg. Tsinghua university, beijing, 84, china, lu liang department. Ground reflectance retrieval on horizontal and inclined terrains using the software package reflect. The mirs tc addresses the technical space between basic electromagnetic theory and data collected by remote sensing instruments. Yu chang, zhiliang zhu, rencang bu, hongwei chen, yuting feng, yuehui li, yuanman hu, and zhicheng wang, 20. Center for spatial technologies and remote sensing. Liang, qiran quiran liang is currently an undergraduate student majoring in environmental science and management, geospatial information science, with a minor in soil science. What is the best software for data analysis in remote sensing. Liang l, xu b, chen y, liu y, cao w, fang l, et al.
We used satscan statistics software to look for statistically significant spatialtemporal clusters based on a 400km spatial. Lu liang peng gong global land cover data could provide continuously updated cropland acreage and distribution information, which is essential to a wide range of applications over large. Satscan and gis used in exploring h5n1 spatialtemporal spread patterns. Advanced remote sensing is an applicationbased reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. Na cong, vladimir chakov, viktorria kuptcova, li jia, liangzhi you. Remote sensing of the environment research interests urban environment. The mission of the modeling in remote sensing technical committee mirs tc is to serve as a technical and professional forum for advancing the science of predicting remotely sensed observations from first principles theory.
Mapping land cover using remote sensing data and gis. Finer resolution observation and monitoring of global land cover. Remote sensing of uav crops is another new survey method adopted by the statistical investigation department following the electronic accounting of urban and rural income surveys. Remote sensing technology and application, 2012, 275. This paper describes a methodology to obtain a land cover dataset for a selected subcarpathian area from prahova county, romania. The common theme of his research is the development and application of processbased computer model for integrating in situ and remote sensing data to solve scientific and policyrelated questions on largescale regional and global environmental issues. Chinas wetland change 19902000 determined by remote sensing p gong, zg niu, x cheng, ky zhao, dm zhou, jh guo, l liang, xf wang.
P gong, j wang, l yu, y zhao, y zhao, l liang, z niu, x huang, h fu. Time series analysis of moderate resolution land surface temperatures benjamin bechtel and panagiotis sismanidis 6. The china bird watching database can reflect the achievement of chinese bird watchers. All of the options provided thus far are worth exploring. It presents stateoftheart techniques for estimating land surface variables from a variety of data types, including optical.
Two software tools, global analyst and global mapper developed by. This book has a hardcover and was published in 2012 by academic press. There are many programs that can be used for data analysis in remote sensing, but, what is the best software for data analysis in this field. Metadiscoveries from a synthesis of satellitebased land. Lu liang from university of arkansas at monticello also contributes vital remote sensing leadership and expertise to arkansasview. Free and open source software for gis education a white paper by. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to onsite observation, especially the earth. It proposes a combined remote sensing, gis and cartography approaches in order to produce an accurate land cover layer at regional and local scales for an area where the land cover features are various and complicated in configuration. The first chapter of the book aims to link diverse components to paint a full picture of a remote sensing system as illustrated in fig. The uav automatically captures highresolution aerial imagery of the plots through satellite positioning and guidance. Gps, rs remote sensing advanced gis research interests environmental health. Master of science, institute of remote sensing applications, chinese academy. Science of remote sensing is part of the remote sensing of environment family of journals.
Learn more about software for mapping, remote sensing, which is the detection and analysis of the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from a targeted area, and geospatial data, which is information such as measurements, counts, and computations as a function of geographical location, and more. Kerekes guest editors, special issues recent progress in quantitative land remote sensing. Remote sensing applications read specialized file formats that contain sensor image data, georeferencing information, and sensor metadata. Bingqing liang university of northern iowa verified email at uni. Impervious surface estimation by integrated use of landsat and modis time series in wuhan, china zhang lei and qihao weng. However, studies outside north america have been limited due to the lack of ground pm2. Lu liang phd university of california, berkeley, ca ucb. Seeking open source software package for remote sensing. Lund university publications lund university libraries. Modeling and estimation, ieee journal of selected topics in applied earth observations and remote sensing.
In recent years, multiple remote sensing techniques, including synthetic aperture radar, optical, and light detection and ranging measurements from spaceborne, airborne, and groundbased platforms, have been widely applied for the analysis of landslide processes. Hire the best remote sensing specialists find top remote sensing specialists on upwork the leading freelancing website for shortterm. Gis and remote sensing software unspider knowledge portal. The authors are grateful to anping liao, lijun chen, chaoying he, dengsheng lu, damien sullamenashe, mark friedl. Integrating remote sensing, gis and dynamic models for landscapelevel. Remote sensing free fulltext mapping mountain pine beetle. A remote sensing software is a software application that processes remote sensing data. Metadiscoveries from a synthesis of satellitebased landcover mapping research, international journal of remote sensing, 35. Remote sensing time series image processing 1st edition. Dr xinlian liang is a senior research scientist and a team leader at the department of remote sensing and photogrammetry finnish geospatial research institute, fgi and the centre of excellence in laser scanning research academy of finland. Combining spatialtemporal and phylogenetic analysis. Predicting fire occurrence patterns with logistic regression in heilongjiang province, china. Jpeg2000based optimization algorithm for effective.
A practical guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. Taking the compression issue of remote sensing images as the study subject, this paper analyses the technical process for jpeg2000 compression and the image features of remote sensing images, natural images and figural images, and puts forwards an integrative optimization algorithm for effective compression display for remote sensing images based on common jpeg2000 compression. Ecoenvironmental vulnerability evaluation in mountainous region using remote sensing and gisa case study in the upper reaches of minjiang river, china a li, a wang, s liang, w zhou ecological modelling 192 12, 175187, 2006. The best software is somewhat subjective and dependent on your needs. Finer resolution observation and monitoring of global land. It describes data selection, application requirements and the choice of a suitable image fusion technique. Lu liang of university of california, berkeley, ca ucb read 52 publications.
Research assistant 081998 072001, institute of remote sensing applications, chinese academy of sciences, beijing, china. It presents stateoftheart techniques for estimating land surface variables from a variety of data types, including optical sensors such as radar and lidar. List of computer science publications by liang liu. Using china bird report 20032007 as data source in combination with descriptions about bird habitats, we built up the china bird watching database. Remote sensing has the ability to fill the data gaps of longterm infestation. Bingqing liang college of social and behavioral sciences. Lu liang keli zhang rapid landuse change in recent decades in china and its impact on terrestrial biodiversity have been widely studied, particularly at local and regional scales. Comparative analysis of global vegetation phenology based on avhrr and modis. Remote sensing image registration with modified sift and enhanced feature. Lu liang is the main author who wrote the manuscript.
Access 27 remotesensing freelancers and outsource your project. Gis and remote sensing software software type any crowdsourcingvgi databaselibrary desktop gis desktop image processing remote sensing software raster data extension toolconverter web gis display only web processing cloud computing. Remote sensing has now been integrated with other modern geospatial technolo gies such as geographic information system gis, global positioning system gps, and mobile mapping. Baret and fourty 1997, jin and liu 1997, kimes et al. Mlc which is widely implemented in software and also used as a. This paper will provide a basic introduction of some of the available free and open source software with easytofollow guidance for both gis teachers and students. I would like to add spring software to the current suggestions. Dongdong wang is an associate professor in the department of geographical sciences at university of maryland college park. It starts with a brief introduction to the platform and sensor system for acquiring data and then moves on to the data transmission and ground receiving system, the processing system for handling the geometric and radiometric properties of data, the. A landsat5 atmospheric correction based on modis atmosphere products and 6s. Wang, dongdong geog geographical sciences department. Remote sensing time series image processing crc press book today, remote sensing technology is an essential tool for understanding the earth and managing humanearth interactions. Development of an integrated software platform for global mapping and analysis.
This is a very robust free guidriven software for remote sensing. I can work at any level of software stack, from the cpuregisters programming to the drivers development, to the application code. His primary research goal is to gain better understanding of the spatiotemporal variability of the climate system and its interactions with other components of the earth system by utilizing remotely sensed data sets. Liang is also currently working for the pistachio project with nichols farm and michael whiting. Since the advent of satellite remote sensing, landcover mapping has become one of.
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