Journal articles: 'Radar remote sensing'

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Griffiths, H. D. "Editorial. Remote sensing by radar." IEE Proceedings F Radar and Signal Processing 139, no. 2 (1992): 105. http://dx.doi.org/10.1049/ip-f-2.1992.0013.

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Woodhouse, I. H. "Radar Remote Sensing of Planetary Surfaces." Photogrammetric Record 21, no. 114 (June 2006): 183–84. http://dx.doi.org/10.1111/j.1477-9730.2006.00375_4.x.

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Saich, P. "Radar Remote Sensing Applications in China." Photogrammetric Record 18, no. 101 (March 2003): 84–85. http://dx.doi.org/10.1111/0031-868x.t01-4-00006.

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Gaddis, Lisa R. "Radar Remote Sensing of Planetary Surfaces." Eos, Transactions American Geophysical Union 83, no. 30 (2002): 328. http://dx.doi.org/10.1029/2002eo000243.

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Marzano, Frank S., Errico Picciotti, Mario Montopoli, and Gianfranco Vulpiani. "Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars." Bulletin of the American Meteorological Society 94, no. 10 (October 1, 2013): 1567–86. http://dx.doi.org/10.1175/bams-d-11-00160.1.

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Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing technique are illustrated and discussed. Volume data, acquired by ground-based weather radars, are processed to automatically classify and estimate ash particle concentration and fallout. The physical– statistical retrieval algorithm is based on a backscattering microphysical model of fine, coarse, and lapilli ash particles, used within a Bayesian classification and optimal estimation methodology. The experimental evidence of the usefulness and limitations of radar acquisitions for volcanic ash monitoring is supported by describing several case studies of volcanic eruptions all over the world. The radar sensitivity due to the distance and the system noise, as well as the various radar bands and configurations (i.e., Doppler and dual polarized), are taken into account. The discussed examples of radar-derived ash concentrations refer to the case studies of the Augustine volcano eruption in 2002, observed in Alaska by an S-band radar; the Grímsvötn volcano eruptions in 2004 and 2011, observed in Iceland by C- and X-band weather radars and compared with in situ samples; and the Mount Etna volcano eruption in 2011, observed by an X-band polarimetric radar. These applications demonstrate the variety of radar-based products that can be derived and exploited for the study of explosive volcanism.

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Bühl, J., S. Alexander, S. Crewell, A. Heymsfield, H. Kalesse, A. Khain, M. Maahn, K. Van Tricht, and M. Wendisch. "Remote Sensing." Meteorological Monographs 58 (January 1, 2017): 10.1–10.21. http://dx.doi.org/10.1175/amsmonographs-d-16-0015.1.

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Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the study of ice formation and evolution. This chapter has the intention of a literature study and should illustrate the major efforts that are currently taken in the field of remote sensing of atmospheric ice. Since other chapters of this monograph mainly focus on aircraft in situ measurements, special emphasis is put on active remote sensing instruments and synergies between aircraft in situ measurements and passive remote sensing methods. The chapter concentrates on homogeneous and heterogeneous ice formation in the troposphere because this is a major topic of this monograph. Furthermore, methods that deliver direct, process-level information about ice formation are elaborated with a special emphasis on active remote sensing methods. Passive remote sensing methods are also dealt with but only in the context of synergy with aircraft in situ measurements.

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Anderson, S. J. "Adaptive remote sensing with HF skywave radar." IEE Proceedings F Radar and Signal Processing 139, no. 2 (1992): 182. http://dx.doi.org/10.1049/ip-f-2.1992.0022.

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Finson, Kevin D., and M. Nellis. "Remote sensing of natural resources with radar." Progress in Physical Geography: Earth and Environment 10, no. 2 (June 1986): 175–93. http://dx.doi.org/10.1177/030913338601000202.

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Fukao, Shoichiro. "Radar Remote Sensing of the Earth's Atmosphere." Proceedings of Conference of Kansai Branch 2006.81 (2006): _8–20_—_8–23_. http://dx.doi.org/10.1299/jsmekansai.2006.81._8-20_.

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Campbell, F. H. A., R. A. Ryerson, and R. J. Brown. "GlobeSAR: A Canadian radar remote sensing program." Geocarto International 10, no. 3 (September 1995): 3–7. http://dx.doi.org/10.1080/10106049509354495.

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Anderson, S. "Remote sensing with the JINDALEE skywave radar." IEEE Journal of Oceanic Engineering 11, no. 2 (April 1986): 158–63. http://dx.doi.org/10.1109/joe.1986.1145180.

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HALL, DOROTHY K. "Remote sensing applications to hydrology; imaging radar." Hydrological Sciences Journal 41, no. 4 (August 1996): 609–24. http://dx.doi.org/10.1080/02626669609491528.

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Fulton, John W., Christopher A. Mason, John R. Eggleston, Matthew J. Nicotra, Chao-Lin Chiu, Mark F. Henneberg, Heather R. Best, et al. "Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages." Remote Sensing 12, no. 8 (April 20, 2020): 1296. http://dx.doi.org/10.3390/rs12081296.

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Near-field remote sensing of surface velocity and river discharge (discharge) were measured using coherent, continuous wave Doppler and pulsed radars. Traditional streamgaging requires sensors be deployed in the water column; however, near-field remote sensing has the potential to transform streamgaging operations through non-contact methods in the U.S. Geological Survey (USGS) and other agencies around the world. To differentiate from satellite or high-altitude platforms, near-field remote sensing is conducted from fixed platforms such as bridges and cable stays. Radar gages were collocated with 10 USGS streamgages in river reaches of varying hydrologic and hydraulic characteristics, where basin size ranged from 381 to 66,200 square kilometers. Radar-derived mean-channel (mean) velocity and discharge were computed using the probability concept and were compared to conventional instantaneous measurements and time series. To test the efficacy of near-field methods, radars were deployed for extended periods of time to capture a range of hydraulic conditions and environmental factors. During the operational phase, continuous time series of surface velocity, radar-derived discharge, and stage-discharge were recorded, computed, and transmitted contemporaneously and continuously in real time every 5 to 15 min. Minimum and maximum surface velocities ranged from 0.30 to 3.84 m per second (m/s); minimum and maximum radar-derived discharges ranged from 0.17 to 4890 cubic meters per second (m3/s); and minimum and maximum stage-discharge ranged from 0.12 to 4950 m3/s. Comparisons between radar and stage-discharge time series were evaluated using goodness-of-fit statistics, which provided a measure of the utility of the probability concept to compute discharge from a singular surface velocity and cross-sectional area relative to conventional methods. Mean velocity and discharge data indicate that velocity radars are highly correlated with conventional methods and are a viable near-field remote sensing technology that can be operationalized to deliver real-time surface velocity, mean velocity, and discharge.

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Palombo, Angelo, Stefano Pignatti, Angela Perrone, Francesco Soldovieri, Tony Alfredo Stabile, and Simone Pascucci. "Noninvasive Remote Sensing Techniques for Infrastructures Diagnostics." International Journal of Geophysics 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/204976.

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The present paper aims at analyzing the potentialities of noninvasive remote sensing techniques used for detecting the conservation status of infrastructures. The applied remote sensing techniques are ground-based microwave radar interferometer and InfraRed Thermography (IRT) to study a particular structure planned and made in the framework of the ISTIMES project (funded by the European Commission in the frame of a joint Call “ICT and Security” of the Seventh Framework Programme). To exploit the effectiveness of the high-resolution remote sensing techniques applied we will use the high-frequency thermal camera to measure the structures oscillations by high-frequency analysis and ground-based microwave radar interferometer to measure the dynamic displacement of several points belonging to a large structure. The paper describes the preliminary research results and discusses on the future applicability and techniques developments for integrating high-frequency time series data of the thermal imagery and ground-based microwave radar interferometer data.

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Lazarowska, Agnieszka. "Review of Collision Avoidance and Path Planning Methods for Ships Utilizing Radar Remote Sensing." Remote Sensing 13, no. 16 (August 18, 2021): 3265. http://dx.doi.org/10.3390/rs13163265.

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The paper presents a comparative analysis of recent collision avoidance and real-time path planning algorithms for ships. Compared methods utilize radar remote sensing for target ships detection. Different recently introduced approaches are briefly described and compared. An emphasis is put on input data reception using a radar as a remote sensing device applied in order to detect moving obstacles such as encountered ships. The most promising methods are highlighted and their advantages and limitations are discussed. Concluding remarks include proposals of further research directions in the development of collision avoidance methods utilizing radar remote sensing.

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Vinokurova, Aitalina, and Alexander Chermoshentsev. "ANALYSIS OF THE POSSIBILITY OF APPLICATION OF REMOTE SENSING RADAR DATA FOR OPERATIVE DETERMINATION OF FLOOD FLOWS ZONES." Interexpo GEO-Siberia 6, no. 2 (2019): 39–45. http://dx.doi.org/10.33764/2618-981x-2019-6-2-39-45.

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In this paper, we consider the possibility of using remote sensing radar data for the rapid determination of flood zones. In natural disasters such as floodwaters using remote sensing data provides accurate information to executive authorities who make decisions to improve response, so that they can properly manage the resources they need to help people. Of remote sensing radar data for the rapid identification of flood zones will play a key role in providing information on this issue.

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Li, Sicheng. "Summary of Agricultural Application of Radar Remote Sensing." Remote Sensing 9, no. 1 (August 12, 2020): 18. http://dx.doi.org/10.18282/rs.v9i1.1097.

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Radar remote sensing has the ability of all-day and all-weather monitoring, has certain penetration ability to vegetation, and is sensitive to the shape, structure and dielectric constant of vegetation scatterers. These characteristics make it have great potential in agricultural application. Firstly, this paper introduces the application fields of radar remote sensing in agriculture, and summarizes the current research literature in many fields, such as crop identification and classification, farmland soil moisture inversion, crop growth monitoring and so on. Then, the application status and research achievements of radar scatterometer and various SAR features (including SAR backscattering features, polarization features, interference features and tomography features) in various fields of agriculture are described respectively. Finally, the problems and reasons existing in the current research are summarized according to the agricultural application requirements and the development of SAR technology, and the future development is prospected.

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Korneev, P. E. "THE PROCESSING OF THE ELLIPTICALLY POLARIZED SIGNAL IN RADAR STATIONS WITH DIGITAL SYNTHESIS OF THE ANTENNA APERTURE." Civil Aviation High TECHNOLOGIES 22, no. 1 (February 27, 2019): 83–92. http://dx.doi.org/10.26467/2079-0619-2019-22-1-83-92.

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The processing of the elliptically polarized reflected signal in the Earth remote sensing systems makes it possible to obtain additional advantages when solving problems of recognition of the observable objects on the ground and under the ground. Full polarization reception implemented in radar stations with digital synthesis of the antenna aperture when remote sensing of the Earth increases the information content of such radars (the radar image of the investigated surface is detailed, the contrast of objects in the field of view is improved, and various negative effects of the image are minimized). The paper considers the quadrature processing of the reflected elliptically polarized signal in radar stations with digital synthesis of the antenna aperture in the mode of lateral survey of the terrestrial (water) surface. The processing of the reflected signal using the methods of radio polarimetry opens new possibilities for such radars while solving problems of remote sensing of the surface and recognition of radar targets. In addition, radar stations with digital synthesis of the antenna aperture with processing of an elliptically polarized signal have a higher interference immunity compared to radars, where a linearly polarized signal is processed. In the article, mathematical modeling is performed in the part of demodulation of the in-phase and quadrature components of the trajectory signal when the geometric parameters of the polarization ellipse change. The obtained analytical expressions allow estimating the influence of the geometric parameters of the polarization ellipse on the trajectory signal being processed. It is analytically confirmed that the angle of ellipticity affects the energy characteristics, and the orientation angle of the polarization ellipse introduces an additional phase shift in the characteristics of the trajectory signal being processed. Not taking into account these nuances while designing digital units and systems of such radars can lead to the loss of all the benefits of processing an elliptically polarized signal. The paper presents a structural scheme of the polarization radar station with digital synthesis of the antenna aperture.

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Reggiannini, Marco, Marco Righi, Marco Tampucci, Angelica Lo Duca, Clara Bacciu, Luigi Bedini, Andrea D’Errico, et al. "Remote Sensing for Maritime Prompt Monitoring." Journal of Marine Science and Engineering 7, no. 7 (June 28, 2019): 202. http://dx.doi.org/10.3390/jmse7070202.

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The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel’s most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel’s forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities.

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Kober, Kirstin, and Arnold Tafferner. "Tracking and nowcasting of convective cells using remote sensing data from radar and satellite." Meteorologische Zeitschrift 18, no. 1 (March 6, 2009): 75–84. http://dx.doi.org/10.1127/0941-2948/2009/359.

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Hoang, Phung Phi, Nguyen Dao Lam, and Viet Bach Pham. "Identifying mangrove forests using radar remote sensing data." Science and Technology Development Journal 19, no. 2 (June 30, 2016): 113–21. http://dx.doi.org/10.32508/stdj.v19i2.675.

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Mangrove is one of the ecologically significant ecosystems in coastal areas, both on environment and biological resources. Radar remote sensing demonstrates a high potential in detecting, identifying, mapping and monitoring mangrove forests. Advantages of radar remote sensing are that almost unaffected by the weather phenomena in the atmosphere, e.g. clouds so that it can acquire images at day and night times. This study considers possibilities of ALOS PALSAR (L-band) and ENVISAT ASAR APP (C-band) for identifying mangrove forests. Results show that using single-date data of ENVISAT ASAR APP including dual polarization HH&HV are difficult to classify mangrove objects; whilst single-date data of ALOS PALSAR with dual polarization HH&HV have a better classification for tree density but at species level identification (e.g. Avicenna or Rhizophora) is more difficult. Results classified according to forest cover density data with overall accuracy of 81.91.

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Yan, Songhua, Xiongbin Wu, and Zezong Chen. "REMOTE SENSING WITH TDMF RADAR: SOME PRELIMINARY RESULTS." Progress In Electromagnetics Research Letters 14 (2010): 79–90. http://dx.doi.org/10.2528/pierl10022405.

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Richards, John. "Microwave Radar and Radiometric Remote Sensing [Book Reviews]." IEEE Geoscience and Remote Sensing Magazine 3, no. 1 (March 2015): 51–52. http://dx.doi.org/10.1109/mgrs.2015.2398391.

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Yueh, S. H., W. J. Wilson, and S. Dinardo. "Polarimetric radar remote sensing of ocean surface wind." IEEE Transactions on Geoscience and Remote Sensing 40, no. 4 (April 2002): 793–800. http://dx.doi.org/10.1109/tgrs.2002.1006350.

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Steele-Dunne, Susan C., Heather McNairn, Alejandro Monsivais-Huertero, Jasmeet Judge, Pang-Wei Liu, and Kostas Papathanassiou. "Radar Remote Sensing of Agricultural Canopies: A Review." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 5 (May 2017): 2249–73. http://dx.doi.org/10.1109/jstars.2016.2639043.

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Liang, D., T. Balz, Z. Y. Wang, L. H. Wei, and M. S. Liao. "Web-based interactive visualization of PS-InSAR point clouds for education and training." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-6 (April 14, 2014): 7–12. http://dx.doi.org/10.5194/isprsannals-ii-6-7-2014.

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In radar remote sensing education and training, only few people have a good knowledge of radar remote sensing and geology, which would be necessary fully analyse the surface motions estimated by persistent scatterer interferometry. Using scientific visualization, data can be presented in an intuitive way for surface motion analysis of non-radar experts. In this paper, we introduce a web-based interactive visualization of PS-InSAR point clouds for education and training.

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Murillo, Elisa M., and Cameron R. Homeyer. "Severe Hail Fall and Hailstorm Detection Using Remote Sensing Observations." Journal of Applied Meteorology and Climatology 58, no. 5 (May 2019): 947–70. http://dx.doi.org/10.1175/jamc-d-18-0247.1.

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AbstractSevere hail days account for the vast majority of severe weather–induced property losses in the United States each year. In the United States, real-time detection of severe storms is largely conducted using ground-based radar observations, mostly using the operational Next Generation Weather Radar network (NEXRAD), which provides three-dimensional information on the physics and dynamics of storms at ~5-min time intervals. Recent NEXRAD upgrades to higher resolution and to dual-polarization capabilities have provided improved hydrometeor discrimination in real time. New geostationary satellite platforms have also led to significant changes in observing capabilities over the United States beginning in 2016, with spatiotemporal resolution that is comparable to that of NEXRAD. Given these recent improvements, a thorough assessment of their ability to identify hailstorms and hail occurrence and to discriminate between hail sizes is needed. This study provides a comprehensive comparative analysis of existing observational radar and satellite products from more than 10 000 storms objectively identified via radar echo-top tracking and nearly 6000 hail reports during 30 recent severe weather days (2013–present). It is found that radar observations provide the most skillful discrimination between severe and nonsevere hailstorms and identification of individual hail occurrence. Single-polarization and dual-polarization radar observations perform similarly at these tasks, with the greatest skill found from combining both single- and dual-polarization metrics. In addition, revisions to the “maximum expected size of hail” (MESH) metric are proposed and are shown to improve spatiotemporal comparisons between reported hail sizes and radar-based estimates for the cases studied.

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Islam, Tanvir, and Miguel A. Rico-Ramirez. "An overview of the remote sensing of precipitation with polarimetric radar." Progress in Physical Geography: Earth and Environment 38, no. 1 (December 24, 2013): 55–78. http://dx.doi.org/10.1177/0309133313514993.

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Recent advances in radar remote sensing of precipitation include the development of polarimetric radar, which has the capability of transmitting in both the horizontal ( H) and vertical ( V) polarization states, thus providing additional information on the target precipitation particles. Radar polarimetry has not only been proven to improve data quality and precipitation estimation, but also improves characterization of precipitation particles; thus it has great potential in weather monitoring and forecasting. Realizing the potential of this state-of-the-art technology, meteorological departments across the world are upgrading their radar networks to polarimetric capabilities. Commensurate with this new era in precipitation remote sensing, this article provides an overview of polarimetric radar measurements, emphasizing the intrinsic signatures and their association to precipitation particle shapes, sizes and distributions. The potential research and applications of polarimetric radar signatures in meteorology are discussed. A considerable number of recent peer reviewed journal articles dealing with the topic are included in the bibliography.

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Batool, Sidra, Fabrizio Frezza, Fabio Mangini, and Patrizio Simeoni. "Introduction to Radar Scattering Application in Remote Sensing and Diagnostics: Review." Atmosphere 11, no. 5 (May 18, 2020): 517. http://dx.doi.org/10.3390/atmos11050517.

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The manuscript reviews the current literature on scattering applications of RADAR (Radio Detecting And Ranging) in remote sensing and diagnostics. This paper gives prime features for a variety of RADAR applications ranging from forest and climate monitoring to weather forecast, sea status, planetary information, and mapping of natural disasters such as the ones caused by earthquakes. Both the fundamental parameters involved in scattering mechanisms of RADAR applications and the factors affecting RADAR performances are also discussed.

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Bouman, B. A. M. "Crop modelling and remote sensing for yield prediction." Netherlands Journal of Agricultural Science 43, no. 2 (June 1, 1995): 143–61. http://dx.doi.org/10.18174/njas.v43i2.573.

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Methods for the application of crop growth models, remote sensing and their integrative use for yield forecasting and prediction are presented. First, the general principles of crop growth models are explained. When crop simulation models are used on regional scales, uncertainty and spatial variation in model parameters can result in broad bands of simulated yield. Remote sensing can be used to reduce some of this uncertainty. With optical remote sensing, standard relations between the Weighted Difference Vegetation Index and fraction ground cover and LAI were established for a number of crops. The radar backscatter of agricultural crops was found to be largely affected by canopy structure, and, for most crops, no consistent relationships with crop growth indicators were established. Two approaches are described to integrate remote sensing data with crop growth models. In the first one, measures of light interception (ground cover, LAI) estimated from optical remote sensing are used as forcing function in the models. In the second method, crop growth models are extended with remote sensing sub-models to simulate time-series of optical and radar remote sensing signals. These simulated signals are compared to measured signals, and the crop growth model is re-calibrated to match simulated with measured remote sensing data. The developed methods resulted in increased accuracy in the simulation of crop growth and yield of wheat and sugar beet in a number of case-studies.

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Kaushik, Kavita, and Deepak Kumar. "Forest Disturbance Mapping with Microwave Remote Sensing." Journal of Landscape Ecology 13, no. 2 (September 1, 2020): 95–128. http://dx.doi.org/10.2478/jlecol-2020-0012.

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AbstractIt is pre-requisite to conserve and protect the forest cover, therefore mapping of the forest distribution and monitoring of their temporal changes are also necessary. In the field of forestry, radar datasets have a high potential due to its ability to derive/extract information from the surface, sub-surface and even from the depth. The current work tries to utilize the capability of C-band radar datasets provided by Sentinel 1A/B mission to derive the required information for sensing the disturbances in the forest areas. Application of SAR or microwave remote sensing for forest disturbance mapping with dual-polarization is partially developed and have been attempted by limited researchers to process and interpret the derived results. Microwave datasets can map the areas with frequent cloud-cover due to its cloud penetrating capabilities in day-night operation mode. The present work tries to identify and locate the disturbances in forest areas to organize better understanding of detailed information for further analysis with the help of open archive microwave datasets incoherent to optical datasets.

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Lombardo, F., F. Napolitano, F. Russo, G. Scialanga, L. Baldini, and E. Gorgucci. "Rainfall estimation and ground clutter rejection with dual polarization weather radar." Advances in Geosciences 7 (February 16, 2006): 127–30. http://dx.doi.org/10.5194/adgeo-7-127-2006.

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Abstract. Conventional radars, used for atmospheric remote sensing, usually operate at a single polarization and frequency to estimate storm parameters such as rainfallrate and water content. Because of the high variability of the drop size distribution conventional radars do not succeed in obtaining detailed information because they just use horizontal reflectivity. The potentiality of the dual-polarized weather radar is investigated, in order to reject the ground-clutter, using differential reflectivity. In this light, a radar meteorology campaign was conducted over the city of Rome (Italy), collecting measurements by the polarimetric Doppler radar Polar 55C and by a raingauge network. The goodness of the results is tested by comparison of radar rainfall estimates with raingauges rainfall measurements.

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He, Yijun, Hui Shen, and William Perrie. "Remote Sensing of Ocean Waves by Polarimetric SAR." Journal of Atmospheric and Oceanic Technology 23, no. 12 (December 1, 2006): 1768–73. http://dx.doi.org/10.1175/jtech1948.1.

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Abstract A new method to measure ocean wave slope spectra using fully polarimetric synthetic aperture radar (POLSAR) data was developed without the need for a complex hydrodynamic modulation transform function. There is no explicit use of a hydrodynamic modulation transfer function. This function is not clearly known and is based on hydrodynamic assumptions. The method is different from those developed by Schuler and colleagues or Pottier but complements their methods. The results estimated from NASA Jet Propulsion Laboratory (JPL) Airborne Synthetic Aperture Radar (AIRSAR) C-band polarimetric SAR data show that the ocean wavelength, wave direction, and significant wave height are in agreement with buoy measurements. The proposed method can be employed by future satellite missions such as RADARSAT-2.

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Amos, E. M., D. Blakeway, and C. D. Warren. "Remote Sensing Techniques in Civil Engineering Surveys." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 119–24. http://dx.doi.org/10.1144/gsl.1986.002.01.26.

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AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

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Eddahby, L., A. A. Kozlova, M. A. Popov, N. S. Lubskiy, D. Mezzane, I. Lukynchuk, A. Larabi, and H. Ibouh. "SYNERGETIC USE OF SENTINEL-1 AND SENTINEL-2 DATA FOR EXTRACTION OF BUILT-UP AREA IN A ROCKY DESERT OASIS, EXAMPLE FOR DRAA TAFILALT, SOUTH-EAST OF MOROCCO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W12 (February 21, 2019): 65–68. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w12-65-2019.

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Abstract. Synthetic Aperture Radar (SAR) is an active remote sensing technique capable of providing high-resolution imagery independent from daytime and to great extent unimpaired by weather conditions. Unlike the passive remote sensing active radars receive its' own reflected signal. Features of received signal make able to obtain additional information about surface objects and covers. Because of signal, double reflecting upon vertical surfaces like walls, it become common to study urbanized areas using SAR data. Because of mostly similar spectral characteristic of the typical buildings' roofs and sandy soils, that are distinguishing for Morocco, classification using visible and NIR multispectral remote sensing data is complicated. Thus, SAR data processing technique is rather useful while application to deserted area studying and urbanized areas identification.

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Dubois-Fernandez, Pascale, Olivier Ruault du Plessis, Aurélien Arnaubec, Sébastien Angelliaume, Rémi Baqué, Grégory Bonin, Xavier Briottet, et al. "The SETHI remote sensing airborne platform and the related science activities." Revue Française de Photogrammétrie et de Télédétection, no. 200 (April 19, 2014): 36–47. http://dx.doi.org/10.52638/rfpt.2012.60.

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L'ONERA, le laboratoire français en aérospatial, construit des systèmes radar aéroporté depuis plus de deux décennies pour des applications de défense mais aussi scientifiques. Au cours des six dernières années, l'instrument SETHI, embarqué à bord d'un avion Falcon 20, a été développé principalement pour des applications scientifiques. Dans cet article, la philosophie de son développement est mise en exergue et les instruments sont décrits en détails. L'instrument SETHI comprend trois systèmes radar en bandes P, L et X, une caméra dans le domaine visible, en visée oblique afin de suivre le champ de vue des radar, et une caméra hyperspectrale à visée au nadir. Cet article résume alors les dernières campagnes SETHI dans le cas de préparation de deux missions spatiales. Il s'agit tout d'abord de la mission de l'ESA, BIOMASS, comprenant un radar bande P pour la cartographie de la biomasse à grande échelle. La deuxième mission traite de surveillance maritime et comprend un radar en bande X. Pour chaque campagne, les principaux objectifs sont détaillés, les références aux articles correspondants sont fournies et les principaux résultats sont mis en avant. Finalement, l'article fournit un aperçu des prochains développements liés au système SETHI dans le cadre de la fusion de données optique et radar.

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Otto, T., J. Lu, and M. Chandra. "Polarisation basis transformation of weather radar measurements in the power domain." Advances in Radio Science 7 (May 19, 2009): 279–84. http://dx.doi.org/10.5194/ars-7-279-2009.

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Abstract. Polarisation diversity in radar remote sensing proved to be very successful in a variety of applications. Hydrometeors as raindrops or ice crystals are anisotropic radar targets giving rise to the use of polarisation diversity in weather radars. One advanced polarimetric weather radar is DLR's POLDIRAD in Oberpfaffenhofen. The huge data archive of this radar consists mainly of power measurements at diverse polarisation bases. This study investigates the possibility to apply the polarisation basis transformation directly on power measurements. As a result, empirical transfer functions for the change of the polarisation basis of radar reflectivities are derived. To check their validity they are applied to appropriate polarimetric radar data from the POLDIRAD.

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HAYASHIDA, Hidetoshi, Syoichiro FUKAO, Takahisa KOBAYASHI, Hiroshi NIRASAWA, Yoshihiro MATAKI, Kazuo OHTAKE, and Masayuki KIKUCHI. "Remote Sensing of Wind Velocity by Boundary Layer Radar." Wind Engineers, JAWE 1996, no. 67 (1996): 39–42. http://dx.doi.org/10.5359/jawe.1996.67_39.

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OUCHI, Kazuo. "Synthetic Aperture Radar and Remote Sensing of the Ocean." Journal of the Visualization Society of Japan 15, no. 56 (1995): 41–48. http://dx.doi.org/10.3154/jvs.15.41.

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OUCHI, Kazuo. "Synthetic Aperture Radar and Remote Sensing of the Ocean." Journal of the Visualization Society of Japan 15, no. 57 (1995): 118–25. http://dx.doi.org/10.3154/jvs.15.57_118.

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Kingsley, S. P., H. St C. K. Alleyne, M. A. Balikhin, G. Junkin, S. D. Green, S. N. Walker, and K. H. Yearby. "Remote sensing of Mars by a flexible orbiting radar." Advances in Space Research 23, no. 11 (January 1999): 1929–32. http://dx.doi.org/10.1016/s0273-1177(99)00274-4.

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Peral, Eva, Eastwood Im, Lauren Wye, Simon Lee, Simone Tanelli, Yahya Rahmat-Samii, Stephen Horst, et al. "Radar Technologies for Earth Remote Sensing From CubeSat Platforms." Proceedings of the IEEE 106, no. 3 (March 2018): 404–18. http://dx.doi.org/10.1109/jproc.2018.2793179.

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Walsh, J., B. Dawe, and S. Srivastava. "Remote sensing of icebergs by ground-wave Doppler radar." IEEE Journal of Oceanic Engineering 11, no. 2 (April 1986): 276–84. http://dx.doi.org/10.1109/joe.1986.1145166.

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Park, Sang-Eun. "A Perspective on Radar Remote Sensing of Soil Moisture." Korean Journal of Remote Sensing 27, no. 6 (December 30, 2011): 761–71. http://dx.doi.org/10.7780/kjrs.2011.27.6.761.

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Solovey, Tatiana. "Identification of the Rozwarowo marshes using radar remote sensing." Geographia Polonica 90, no. 4 (2017): 431–40. http://dx.doi.org/10.7163/gpol.0109.

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Moccia, A., N. Chiacchio, and A. Capone. "Spaceborne bistatic Synthetic Aperture Radar for remote sensing applications." International Journal of Remote Sensing 21, no. 18 (January 2000): 3395–414. http://dx.doi.org/10.1080/014311600750037453.

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Li, Haobo, Aman Shrestha, Hadi Heidari, Julien Le Kernec, and Francesco Fioranelli. "Magnetic and Radar Sensing for Multimodal Remote Health Monitoring." IEEE Sensors Journal 19, no. 20 (October 15, 2019): 8979–89. http://dx.doi.org/10.1109/jsen.2018.2872894.

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Saatchi, Sassan, Kerry Halligan, Don G. Despain, and Robert L. Crabtree. "Estimation of Forest Fuel Load From Radar Remote Sensing." IEEE Transactions on Geoscience and Remote Sensing 45, no. 6 (June 2007): 1726–40. http://dx.doi.org/10.1109/tgrs.2006.887002.

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Brookner, E. "Spaceborne radar remote sensing: applications and techniques [Book Review]." IEEE Spectrum 25, no. 12 (November 1988): 17. http://dx.doi.org/10.1109/mspec.1988.995750.

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Sinha, S., C. Jeganathan, L. K. Sharma, and M. S. Nathawat. "A review of radar remote sensing for biomass estimation." International Journal of Environmental Science and Technology 12, no. 5 (January 20, 2015): 1779–92. http://dx.doi.org/10.1007/s13762-015-0750-0.

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Journal articles on the topic 'Radar remote sensing'

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