Relevant bibliographies by topics / Satellite Remote Sensing technique

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Satellite Remote Sensing technique'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Satellite Remote Sensing technique"

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Zhang, Peng, Qin Qin, Shijie Zhang, et al. "Near Real-Time Remote Sensing Based on Satellite Internet: Architectures, Key Techniques, and Experimental Progress." Aerospace 11, no. 2 (2024): 167. http://dx.doi.org/10.3390/aerospace11020167.

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Remote sensing has become an essential tool for geological exploration, disaster monitoring, emergency rescue, and environmental supervision, while the limited number of remote sensing satellites and ground stations restricts the timeliness of remote sensing services. Satellite Internet has features of large bandwidth, low latency, and wide coverage, which can provide ubiquitous high-speed access for time-sensitive remote sensing users. This study proposes a near real-time remote sensing (NRRS) architecture, which allows satellites to transmit remote sensing data via inter-satellite links and
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Li, Xiuhong, Chongxiang Sun, Huilong Fan, and Jiale Yang. "Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities." Mathematics 12, no. 11 (2024): 1704. http://dx.doi.org/10.3390/math12111704.

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Mission scheduling is an essential function of the management control of remote-sensing satellite application systems. With the continuous development of remote-sensing satellite applications, mission scheduling faces significant challenges. Existing work has many inherent shortcomings in dealing with dynamic task scheduling for remote-sensing satellites. In high-load and complex remote sensing task scenarios, there is low scheduling efficiency and a waste of resources. The paper proposes a scheduling method for remote-sensing satellite applications based on dynamic task prioritization. This p
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Cheng, Yun, and Qiao Lin Huang. "Study on the Data Processing Technique in High Resolution Remote Sensing Satellite." Applied Mechanics and Materials 220-223 (November 2012): 2079–82. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2079.

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The development and application of high-resolution remote sensing was reviewed, the key problems which are confronted now were described, the main disparities between the research level home and abroad was analyzed. In the end, the prospect to the technique of improving image quality in high-resolution remote sensing satellite is given. Depending on self-operation of satellite system, accomplish the real-time image processing will be the trend of HR remote sensing in the future.
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Sangeetha.V1, Aishwarya.C.G Apoorva.T.M 2. "SATELLITE MULTISPECTRAL REMOTE SENSING IMAGE." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [AIVESC-18] (April 26, 2018): 22–27. https://doi.org/10.5281/zenodo.1230360.

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The spectral classes of the imagery are finally translated into the different feature types in the image interpretation process (image processing). Presently, classification of all feature types is a manual process. Local and global climatic variability and change is inevitable which makes satellite imagery redundant in a short span of time. Due to the above stated reasons, we need an efficient and fast automatic feature extraction algorithm for better observing and organization of the resources of Earth. This paper is a study of different technique to extract urban built-up, land/vegetation a
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Ye, Fanghong, Tinghua Ai, Jiaming Wang, Yuan Yao, and Zheng Zhou. "A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data." Remote Sensing 14, no. 10 (2022): 2324. http://dx.doi.org/10.3390/rs14102324.

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The classification of optical satellite-derived remote sensing images is an important satellite remote sensing application. Due to the wide variety of artificial features and complex ground situations in urban areas, the classification of complex urban features has always been a focus of and challenge in the field of remote sensing image classification. Given the limited information that can be obtained from traditional optical satellite-derived remote sensing data of a classification area, it is difficult to classify artificial features in detail at the pixel level. With the development of te
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Orlov, P. Yu, M. A. Boyarchuk, I. G. Zhurkin, and V. V. Nekrasov. "Development of geo-information technique and experimental studies on cross-calibration of Kanopus-V spacecraft series’ RSE sensors." Geodesy and Cartography 966, no. 12 (2021): 31–42. http://dx.doi.org/10.22389/0016-7126-2020-966-12-31-42.

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Cross-calibration of the Earth’s remote sensing payload is an addition to the traditionally used flight calibration. It consists of homogeneous terrain regions` image acquiring with a calibrated and reference apparatus and comparing the measured values of the spectral radiance. When selecting references for cross-calibration, the main requirements are the proximity of the spatial resolution and spectral channels of the satellite payload, as well as the observation conditions. Remote sensing spacecrafts Sentinel-2A / 2B and Landsat 8 were selected asreferences. An algorithm was developed to sea
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Rahman, Mohammad Mukhlesur, Mohammad Amirul Islam, Md Golam Mahboob, Nur Mohammad, and Istiak Ahmed. "FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE." Acta Informatica Malaysia 8, no. 2 (2024): 49–55. https://doi.org/10.26480/aim.02.2024.49.55.

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The goal of this research was to provide an operational technique with adequate technological components for monitoring and forecasting potato yield in Bangladesh. In the farmers’ fields of Shibganj upazila, the developed system investigates the combined use of satellite remote sensing (RS) and Geographic Information System (GIS) technology. The goal of the study was to construct a remotely sensed yield prediction model that used the high spatial resolution of Sentinel 2A and Landsat 8 satellite images to forecast potato yield one month ahead of harvest. Sentinel 2A (MSI) and Landsat 8 (OLI) s
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Hutapea, Destri Yanti, and Octaviani Hutapea. "WATERMARKING METHOD OF REMOTE SENSING DATA USING STEGANOGRAPHY TECHNIQUE BASED ON LEAST SIGNIFICANT BIT HIDING." International Journal of Remote Sensing and Earth Sciences (IJReSES) 15, no. 1 (2018): 63. http://dx.doi.org/10.30536/j.ijreses.2018.v15.a2824.

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Remote sensing satellite imagery is currently needed to support the needs of information in various fields. Distribution of remote sensing data to users is done through electronic media. Therefore, it is necessary to make security and identity on remote sensing satellite images so that its function is not misused. This paper describes a method of adding confidential information to medium resolution remote sensing satellite images to identify the image using steganography technique. Steganography with the Least Significant Bit (LSB) method is chosen because the insertion of confidential informa
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Udupi, Sachidananda K., H. C. Hemamalini, Vaibhav R. Chittora, D. K. Prabhuraj, and Siddanagouda Somanagouda Patil. "EFFICIENT SCHEMES OF CLASSIFIERS FOR REMOTE SENSING SATELLITE IMAGERIES OF LAND USE PATTERN CLASSIFICATIONS." Mercator 23, no. 2024 (2024): 1–10. http://dx.doi.org/10.4215/rm2024.e23004.

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Land use pattern classification of remote sensing imagery data is imperative to research that is used in remote sensing applications. Remote sensing (RS) technologies were exploited to mine some of the significant spatially variable factors, such as land cover and land use (LCLU), from satellite images of remote arid areas in Karnataka, India. Four diverse classification techniques unsupervised, and supervised (Maximum likelihood, Mahalnobis Distance, and Minimum Distance) are applied in Bellary district in Karnataka, India for the classification of the raw satellite images. The developed maps
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Emetere, M. E. "Modified satellite remote sensing technique for hydrocarbon deposit detection." Journal of Petroleum Science and Engineering 181 (October 2019): 106228. http://dx.doi.org/10.1016/j.petrol.2019.106228.

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Dissertations / Theses on the topic "Satellite Remote Sensing technique"

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Eliasson, Salomon. "An Extrapolation Technique of Cloud Characteristics Using Tropical Cloud Regimes." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303881.

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This thesis tests a technique based on objectively identified tropical cloud regimes, in which some cloud characteristics are extrapolated from a single site in the tropics to the entire tropics. Information on cloud top pressure, cloud optical thickness and total cloud cover from 1985-2000 has been derived from the ISCCP D1 data set and has been used to create maps of tropical cloud regimes and maps of total cloud cover over the tropics. The distribution and characteristics of the tropical cloud regimes has been discussed after which total cloud cover values were extrapolated to the cloud reg
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Hayes, Ladson. "Techniques for facilitating the registration and rectification of satellite data with examples using data from the advanced very high resolution radiometer and the Landsat multispectral scanner." Thesis, University of Dundee, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303169.

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Yu, Jaehyung. "Investigation of glacial dynamics in lambert glacial basin using satellite remote sensing techniques." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3123.

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The Antarctic ice sheet mass budget is a very important factor for global sea level. An understanding of the glacial dynamics of the Antarctic ice sheet are essential for mass budget estimation. Utilizing a surface velocity field derived from Radarsat three-pass SAR interferometry, this study has investigated the strain rate, grounding line, balance velocity, and the mass balance of the entire Lambert Glacier – Amery Ice Shelf system, East Antarctica. The surface velocity increases abruptly from 350 m/year to 800 m/year at the main grounding line. It decreases as the main ice stream is floati
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Naik, Parth Rajubhai. "Advanced Techniques For Prediction of Forest Above Ground Biomass Using Satellite Remote Sensing Data." Doctoral thesis, Università degli studi di Trento, 2023. https://hdl.handle.net/11572/364650.

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Large-scale mapping of forest AGB is a challenging task and crucial for forest management and planning. The use of SRS data has recently increased for AGB prediction due to their large footprint and low cost availability. There are various limitations and problems with SRS data that require innovative and effective solutions for large-scale AGB mapping. This thesis provides three main contributions in the context of using SRS for AGB prediction. The first contribution of the thesis involves the use of SMS data characterized by different spectral specifications, spatial resolutions and temporal
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Loyola, Rodriguez Diego G. [Verfasser]. "Methodologies for solving Satellite Remote Sensing Problems using Neuro Computing Techniques / Diego G. Loyola Rodriguez." München : Verlag Dr. Hut, 2013. http://d-nb.info/1037287096/34.

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Smit, Walter J. (Walter Johan). "A comparison of selected satellite remote sensing techniques for mapping fire scars in limestone fynbos." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52064.

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Thesis (MA.)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: There are many reasons to conserve fynbos. Not only does fynbos form part of the Cape floral kingdom, one of the richest floral kingdoms in the world, but the contribution that it makes to the regional economy through utilisation, education, recreation and tourist opportunities is immeasurable. Fire plays an integral role in fynbos ecosystems. According to Van Wilgen, Richardson & Seydack (1994: 322) " ... managing fynbos equates to managing fire". Therefore managers need accurate fire information about a fynbos area to m
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Corrie, Robert Kyle. "Detecting archaeological sites in the eastern Sahara using satellite remote sensing and digital image processing." Thesis, University of Oxford, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728986.

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Heddi, Mustapha. "Application of remote sensing techniques in the study of linear features of the Guadix-Baza basin, southern Spain." Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308166.

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Buchanan, Matthew L. "Investigation of Advanced Spaceborne GNSS-R Techniques Usingthe SMAP Satellite." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1565890319858178.

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Radhakrishnan, Aswathnarayan. "A Study on Applying Learning Techniques to Remote Sensing Data." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586901481703797.

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Books on the topic "Satellite Remote Sensing technique"

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Klokočník, J. Satellite altimetry and its use in geoscience. Výzkumný ústav geodetický, topografický a kartografický, 1994.

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1945-, Rummel R., and Sansò F. 1945-, eds. Satellite altimetry in geodesy and oceanography. Springer-Verlag, 1993.

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Walton, Charles. The AVHRR/HIRS operational method for satellite based sea surface temperature determination. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1987.

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United States. National Aeronautics and Space Administration., ed. TIMED Imaging Photometer Experiment (TIPE): Descoped version summary / pricipal investigator Stephen B. Mende. National Aeronautics and Space Administration, 1994.

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Sirota, A. M. Ispolʹzovanie sputnikovoĭ alʹtimetrii dli︠a︡ diagnoza promyslovo-okeanologicheskikh usloviĭ v Atlanticheskom i i︠u︡go-vostochnoĭ chasti Tikhogo okeanov. AtlantNIRO, 2004.

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International Workshop on Satellite Altimetry (2002 Wuhan, China). Satellite altimetry for geodesy, geophysics and oceanography: Proceedings of the International Workshop on Satellite Altimetry : a joint workshop of IAG Section III Special Study Group SSG3.186 and IAG Section II : September 8-13, 2002, Wuhan, China. Springer-Verlag, 2004.

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Birkenheuer, Daniel. The initial formulation of a technique to employ gradient information in a simple variational minimization scheme. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Earth System Research Laboratory, 2006.

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S, Velden Christopher, and United States. National Aeronautics and Space Administration., eds. Upper-tropospheric winds derived from geostationary satellite water vapor observations. National Aeronautics and Space Administration, 1997.

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United States. National Aeronautics and Space Administration., ed. A remote-sensing based technique to account for sub-grid scale variability of land surface properties. National Aeronautics and Space Administration, 1995.

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Kruse, Lars Peter. Spatial and temporal distribution of atmospheric water vapor using space geodetic techniques. Schweizerische Geodätische Kommission, 2001.

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Book chapters on the topic "Satellite Remote Sensing technique"

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Lasaponara, Rosa, and Nicola Masini. "Pan-Sharpening Techniques to Enhance Archaeological Marks: An Overview." In Satellite Remote Sensing. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8801-7_4.

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Bitelli, Gabriele. "Remote Sensing and Integration with Other Geomatic Techniques in Archaeology." In Satellite Remote Sensing. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8801-7_5.

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Comiso, Josefino. "Satellite Remote Sensing Techniques." In Polar Oceans from Space. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-68300-3_3.

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Wong, Man Sing, Xiaolin Zhu, Sawaid Abbas, Coco Yin Tung Kwok, and Meilian Wang. "Optical Remote Sensing." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_20.

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AbstractApplications of Earth-observational remote sensing are rapidly increasing over urban areas. The latest regime shift from conventional urban development to smart-city development has triggered a rise in smart innovative technologies to complement spatial and temporal information in new urban design models. Remote sensing-based Earth-observations provide critical information to close the gaps between real and virtual models of urban developments. Remote sensing, itself, has rapidly evolved since the launch of the first Earth-observation satellite, Landsat, in 1972. Technological advancem
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Lyapustin, Alexei, and Yujie Wang. "The time series technique for aerosol retrievals over land from MODIS." In Satellite Aerosol Remote Sensing over Land. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-69397-0_3.

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Braun, Andreas. "39. (Critical) Satellite Remote Sensing." In Critical Physical Geography: Interdisciplinary Approaches to Nature, Power and Politics. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0418.39.

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Satellite remote sensing techniques and the products derived from them are relevant for virtually all research fields in biophysical and socio-environmental research. Yet, multiple socio-technical choices have to be made in order to produce them. This chapter offers an instructive introduction to and critical overview of these choices.
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Brown, Christopher W., Laurence N. Connor, John L. Lillibridge, Nicholas R. Nalli, and Richard V. Legeckis. "An Introduction to Satellite Sensors, Observations and Techniques." In Remote Sensing of Coastal Aquatic Environments. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-3100-7_2.

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Sisodiya, Neha, Nitant Dube, and Priyank Thakkar. "Next-Generation Artificial Intelligence Techniques for Satellite Data Processing." In Remote Sensing and Digital Image Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24178-0_11.

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Khaki, Mehdi. "Sequential Data Assimilation Techniques for Data Assimilation." In Satellite Remote Sensing in Hydrological Data Assimilation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37375-7_5.

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K., Anush Kumar, Raj Setia, Dharmendra Kumar Pandey, Deepak Putrevu, Arundhati Misra, and Brijendra Pateriya. "Soil Moisture Retrieval Techniques Using Satellite Remote Sensing." In Geospatial Technologies for Crops and Soils. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6864-0_10.

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Conference papers on the topic "Satellite Remote Sensing technique"

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Garajeh, Mohammad Kazemi, Annibale Guariglia, Parivash Paridad, Raffaele Santangelo, Valeria Satriano, and Valerio Tramutoli. "A Robust Satellite Technique for Monitoring Landslides Impact on Electrical Infrastructures." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641991.

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Polimenov, Ventsislav, and Krassimira Ivanova. "REMOTE SENSING AND DEEP LEARNING INTEGRATION FOR SPATIAL INTELLIGENCE." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s10.33.

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This review article provides an overview of the combination of remote sensing with deep learning techniques in the last ten years. It specifically examines the emerging patterns and applications in both fields, highlighting their combined use in processing remote sensing data. It focuses on how these techniques have brought about significant changes in environmental monitoring, urban planning, agricultural management, security, and change detection. The article discusses various satellite probes, detailing their specific capabilities, technological attributes, and suitability for diverse obser
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Katyal, Bhamini, and Shruti Upadhyaya. "Exploring Deep Learning Techniques To Nowcast Satellite Precipitation Retrievals." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984138.

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Korb, C. L., Bruce M. Gentry, and S. X. Li. "Spaceborne lidar wind measurement with the edge technique." In Satellite Remote Sensing, edited by Christian Werner. SPIE, 1994. http://dx.doi.org/10.1117/12.195865.

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Moghaddam, Mahta. "Retrieval of forest canopy parameters for OTTER using an optimization technique." In Satellite Remote Sensing, edited by Eric Mougin, K. Jon Ranson, and James A. Smith. SPIE, 1995. http://dx.doi.org/10.1117/12.200732.

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Walker, Charles L., and Maria T. Kalcic. "Gram-Schmidt orthogonalization technique for atmospheric and sun glint correction of Landsat imagery." In Satellite Remote Sensing, edited by Jacky Desachy. SPIE, 1994. http://dx.doi.org/10.1117/12.196778.

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Voelz, David G., Shawn D. O'Keefe, John D. Gonglewski, Douglas B. Rider, and Kathy J. Schulze. "High-resolution imagery of a space object using an unconventional laser-illumination imaging technique." In Satellite Remote Sensing, edited by Anton Kohnle and Adam D. Devir. SPIE, 1994. http://dx.doi.org/10.1117/12.197377.

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Rottman, Gary J., and Thomas N. Woods. "SOLSTICE technique for measuring long-term solar variability." In Satellite Remote Sensing II, edited by Hiroyuki Fujisada and Martin N. Sweeting. SPIE, 1995. http://dx.doi.org/10.1117/12.228581.

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Dubovik, Oleg, Tatjana Lapyonok, and Sergey Oshchepkov. "Improved technique for statistically optimum inversion of optical data in presence of measurements and model noise." In Satellite Remote Sensing, edited by David K. Lynch. SPIE, 1994. http://dx.doi.org/10.1117/12.196675.

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Shin, Dongseok, John K. Pollard, and Jan-Peter A. Muller. "Cloud detection from ATSR images using a segmentation technique." In Satellite Remote Sensing II, edited by David K. Lynch and Eric P. Shettle. SPIE, 1995. http://dx.doi.org/10.1117/12.228955.

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Reports on the topic "Satellite Remote Sensing technique"

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Harrison, Ian J., Ned Horning, K. Koy, P. McPhearson, and Osman Wallace. An Introduction to Remote Sensing. American Museum of Natural History, 2008. http://dx.doi.org/10.5531/cbc.ncep.0174.

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Remote sensing is a technology for sampling reflected and emitted electromagnetic radiation of features on the Earth's land surface, oceans, and atmosphere. In this module, we exclude such techniques as sonar, geomagnetic and seismic sounding, as well as medical imaging, but include a wide set of techniques often known by the alternative name of Earth Observation (EO). The main objective of this module is to introduce the basic concepts of remote sensing science, focusing on the practical aspects of accessing, visualizing, and processing remotely-sensed data. Information here is targeted towar
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Suir, Glenn, Christina Saltus, Charles Sasser, et al. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, Christina Saltus, Charles Sasser, et al. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Minnis, Patrick. DEVELOPMENT OF IMPROVED TECHNIQUES FOR SATELLITE REMOTE SENSING OF CLOUDS AND RADIATION USING ARM DATA, FINAL REPORT. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1086503.

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Shawler, Justin, Aleksandra Ostojic, Joseph Harwood, Christopher Macon, Molly Reif, and Aaron Schad. Geomorphic Monitoring of Coastal Marsh Restoration Sites: Insights from Field and Remote Sensing Approaches in Louisiana, USA. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/48401.

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Restoration of coastal marshes presents unique geomorphic monitoring challenges because these sites are often remote and/or inaccessible, and time and financial resources for field-based geomorphic monitoring may be limited. Yet, the geomorphic trajectory of coastal marshes controls the overall system health and longevity. The expansion of Unmanned Aircraft System (UAS) technology and new satellite platforms offer opportunities to complement ground-based geomorphic monitoring and overcome the challenges associated with traditional field methods. Here, we compare field-based and remote sensing
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Wittman, Hannah, and Zoe Courville. Validation of daily snow water equivalent for a watershed statistics tool. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49186.

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The Watershed Statistics tool is a tool currently being developed for the Remote Sensing and Geographic Information Systems Center of Expertise’s (RSGIS) Extreme Cold Weather web portal and will allow users to easily access and visualize snow water equivalent (SWE) data. The SWE data available on this tool are derived from passive microwave signals acquired by satellite through a technique known as enhanced passive microwave SWE. This analysis used available in situ SWE measurements from snow study sites in four watersheds across the United States and Canada to determine the accuracy of the da
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Quinn, Cathy A., Philip K. Hamilton, Scott D. Kraus, and Christopher K. Slay. An assessment of wounds caused by the attachment of remote sensing tags to North Atlantic right whales (Eubalaena Glacialis): 1988 - 1997. New England Aquarium and Woods Hole Oceanographic Institution, 2023. http://dx.doi.org/10.1575/1912/29702.

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Because of the increase in usage of remote sensing tags to track the migration and movements of cetaceans, it has become increasingly important to assess the impact of such techniques on the target species. Between 1988 and 1997, 55 tags (41 satellite telemetry, 14 VHF or acoustic radio transmitter) were attached to 49 North Atlantic right whales (Eubalaena glacialis). All tags had implantable barbs or were fully implanted below the dermis. Right whales are photographically identifiable and the New England Aquarium curates the North Atlantic catalog, which currently numbers 374 individuals. Th
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8

Hodul, M., H. P. White, and A. Knudby. A report on water quality monitoring in Quesnel Lake, British Columbia, subsequent to the Mount Polley tailings dam spill, using optical satellite imagery. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330556.

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In the early morning on the 4th of August 2014, a tailings dam near Quesnel, BC burst, spilling approximately 25 million m3 of runoff containing heavy metal elements into nearby Quesnel Lake (Byrne et al. 2018). The runoff slurry, which included lead, arsenic, selenium, and vanadium spilled through Hazeltine Creek, scouring its banks and picking up till and forest cover on the way, and ultimately ended up in Quesnel Lake, whose water level rose by 1.5 m as a result. While the introduction of heavy metals into Quesnel Lake was of environmental concern, the additional till and forest cover scour
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9

Yanev, Ivan. Satellite sensors used in thermal remote sensing. Prof. Marin Drinov Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/aerebu.29.18.01.04.

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10

Toutin, Th, P. Cheng, and K. Seidel. Indian Remote Sensing Satellite: Geocoding and DEM Extraction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219380.

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