Relevant bibliographies by topics / Biophysical data

Contents

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

Academic literature on the topic 'Biophysical data'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Biophysical data"

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Yatskou, M. M., and V. V. Apanasovich. "Data analysis in complex biomolecular systems." Informatics 18, no. 1 (2021): 105–22. http://dx.doi.org/10.37661/1816-0301-2021-18-1-105-122.

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The biomolecular technology progress is directly related to the development of effective methods and algorithms for processing a large amount of information obtained by modern high-throughput experimental equipment. The priority task is the development of promising computational tools for the analysis and interpretation of biophysical information using the methods of big data and computer models. An integrated approach to processing large datasets, which is based on the methods of data analysis and simulation modelling, is proposed. This approach allows to determine the parameters of biophysic
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Pennefather, Peter S., and West Suhanic. "The Value of Encrypting Biophysical Data." Biophysical Journal 110, no. 3 (2016): 150a. http://dx.doi.org/10.1016/j.bpj.2015.11.845.

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Sikosek, Tobias, and Hue Sun Chan. "Biophysics of protein evolution and evolutionary protein biophysics." Journal of The Royal Society Interface 11, no. 100 (2014): 20140419. http://dx.doi.org/10.1098/rsif.2014.0419.

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The study of molecular evolution at the level of protein-coding genes often entails comparing large datasets of sequences to infer their evolutionary relationships. Despite the importance of a protein's structure and conformational dynamics to its function and thus its fitness, common phylogenetic methods embody minimal biophysical knowledge of proteins. To underscore the biophysical constraints on natural selection, we survey effects of protein mutations, highlighting the physical basis for marginal stability of natural globular proteins and how requirement for kinetic stability and avoidance
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Burnecki, Krzysztof. "FARIMA processes with application to biophysical data." Journal of Statistical Mechanics: Theory and Experiment 2012, no. 05 (2012): P05015. http://dx.doi.org/10.1088/1742-5468/2012/05/p05015.

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Presse, Steve. "Inferring Quantitative Models from Noisy Biophysical Data." Biophysical Journal 106, no. 2 (2014): 195a. http://dx.doi.org/10.1016/j.bpj.2013.11.1155.

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Linaro, Daniele, Matthew J. Levy, and David L. Hunt. "Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons." PLOS Computational Biology 18, no. 4 (2022): e1010071. http://dx.doi.org/10.1371/journal.pcbi.1010071.

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The transformation of synaptic input into action potential output is a fundamental single-cell computation resulting from the complex interaction of distinct cellular morphology and the unique expression profile of ion channels that define the cellular phenotype. Experimental studies aimed at uncovering the mechanisms of the transfer function have led to important insights, yet are limited in scope by technical feasibility, making biophysical simulations an attractive complementary approach to push the boundaries in our understanding of cellular computation. Here we take a data-driven approach
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-, Aprisal, Junaidi -, Oktanis Emalinda, Nadia Ramadani, and Mila Isanova. "ANALYSIS OF BIOPHYSICAL FACTORS AND THEIR INFLUENCE ON INFILTRATION IN SOME LAND USES OF THE ULAKAN SUB-WATERSHED IN THE CENTRAL PART." Water Conservation & Management 8, no. 3 (2024): 374–79. https://doi.org/10.26480/wcm.03.2024.374.379.

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Biophysical changes in land in sub-watershed areas (DAS) due to uncontrolled population pressure cause a decrease in the biophysical characteristics of the watershed. This has caused the loss of the hydro-organological attributes of the watershed. This can be seen from the frequent surface flows, erosion, and flooding in this watershed area. This condition is also supported by the nature of the watershed morphology in the upstream region, which is steeper than in the middle and downstream parts. This research aims to see the influence of what biophysical properties are dominant in determining
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Wali, Emal, Masahiro Tasumi, and Masao Moriyama. "Combination of Linear Regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology—Case Study in Miyazaki, Japan." Remote Sensing 12, no. 1 (2020): 189. http://dx.doi.org/10.3390/rs12010189.

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This study investigated the relationship between backscattering coefficients of a synthetic aperture radar (SAR) and the four biophysical parameters of rice crops—plant height, green vegetation cover, leaf area index, and total dry biomass. A paddy rice field in Miyazaki, Japan was studied from April to July of 2018, which is the rice cultivation season. The SAR backscattering coefficients were provided by Sentinel-1 satellite. Backscattering coefficients of two polarization settings—VH (vertical transmitting, horizontal receiving) and VV (vertical transmitting, vertical receiving)—were invest
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Kinz-Thompson, Colin D., Korak Kumar Ray, and Ruben L. Gonzalez. "Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments." Annual Review of Biophysics 50, no. 1 (2021): 191–208. http://dx.doi.org/10.1146/annurev-biophys-082120-103921.

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Biophysics experiments performed at single-molecule resolution provide exceptional insight into the structural details and dynamic behavior of biological systems. However, extracting this information from the corresponding experimental data unequivocally requires applying a biophysical model. In this review, we discuss how to use probability theory to apply these models to single-molecule data. Many current single-molecule data analysis methods apply parts of probability theory, sometimes unknowingly, and thus miss out on the full set of benefits provided by this self-consistent framework. The
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Wiegand, C. L., A. H. Gerbermann, K. P. Gallo, B. L. Blad, and D. Dusek. "Multisite analyses of spectral-biophysical data for corn." Remote Sensing of Environment 33, no. 1 (1990): 1–16. http://dx.doi.org/10.1016/0034-4257(90)90051-m.

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Dissertations / Theses on the topic "Biophysical data"

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Vaillancourt, Benoit. "Novel biophysical appliations [sic] of STICS." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=111550.

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The object of this thesis is to present two novel applications of Spatiotemporal Image Correlation Spectroscopy (STICS) to biological systems. STICS is a technique which uses the correlations in pixel intensity fluctuations of an image time series, captured under fluorescence microscopy, to measure the speed and direction of a flowing population of fluorescently labeled molecules. The method was first applied to measure the dynamics of transport vesicles inside growing pollen tubes of lily flowers. The measured vector maps allowed to confirm the presence of actin filaments along the periphery
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Hesley, Z. J. "Deriving albedo and biophysical properties from coarse spatial resolution multiple-view-angle data." Thesis, Swansea University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637270.

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Previous investigations have focused on the development of bidirectional reflectance distribution function (BRDF) models and the implementation of computationally-efficient procedures for model inversion. The present study explores the operational use of BRDF models since little is known about producing BRDF at an operational level. Earlier work indicated that the angular sampling regimes of sensors influenced the accuracy of albedo estimated from BRDF models and multiple view angle (MVA) data. This work takes this a stage further by attempting to quantify the albedo error from present and fut
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Rahmati, Vahid, Knut Kirmse, Dimitrije Marković, Knut Holthoff, and Stefan J. Kiebel. "Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-203385.

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Calcium imaging has been used as a promising technique to monitor the dynamic activity of neuronal populations. However, the calcium trace is temporally smeared which restricts the extraction of quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstruction algorithms have been introduced. One limitation of such reconstructions is that the underlying models are not informed about the biophysics of spike and burst generations. Such existing prior knowledge might be useful for constraining the possible solutions of spikes. Here we describe, in a no
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Stam, Carson A. "Using Biophysical Geospatial and Remotely Sensed Data to Classify Ecological Sites and States." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1389.

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Monitoring and identifying the state of rangelands on a landscape scale can be a time consuming process. In this thesis, remote sensing imagery has been used to show how the process of classifying different ecological sites and states can be done on a per pixel basis for a large landscape. Twenty-seven years' worth of remotely sensed imagery was collected, atmospherically corrected, and radiometrically normalized. Several vegetation indices were extracted from the imagery along with derivatives from a digital elevation model. Dominant vegetation components from five major ecological sites in R
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Landmann, Tobias. "A case study for Skukuza estimating biophysical properties of fires using EOS-MODIS satellite data /." Doctoral thesis, [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970359403.

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McClurg, Paxton. "Application of Biophysical Data to an Unsupervised Classification to Map Ecoregional Boundaries in the Desert Southwest." DigitalCommons@USU, 2002. https://digitalcommons.usu.edu/etd/6598.

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An unsupervised classification was applied to continuous biophysical variables in an attempt to delineate ecoregional boundaries in the desert southwest. Output was then compared with ecoregions delineated by the Natural Resources Conservation Service (NRCS), the Environmental Protection Agency (EPA), and the Forest Service at the national level. An attempt was made to use the same biophysical variables for input into the unsupervised classification as was emphasized by the various agencies with their ecoregional classifications at the desert level. Major constraints included data availability
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Alistair, Chalk. "PREDICTION OF PROTEIN SECONDARY STRUCTURE by Incorporating Biophysical Information into Artificial Neural Networks." Thesis, University of Skövde, Department of Computer Science, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-235.

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<p>This project applied artificial neural networks to the field of secondary structure prediction of proteins. A NETtalk architecture with a window size 13 was used. Over-fitting was avoided by the use of 3 real numbers to represent amino acids, reducing the number of adjustable weights to 840. Two alternative representations of amino acids that incorporated biophysical data were created and tested. They were tested both separately and in combination on a standard 7-fold cross-validation set of 126 proteins. The best performance was achieved using an average result from two predictions. This w
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Guanter, Palomar Luis. "New algorithms for atmospheric correction and retrieval of biophysical parameters in earth observation. Application to ENVISAT/MERIS data." Doctoral thesis, Universitat de València, 2007. http://hdl.handle.net/10803/9877.

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An algorithm for the derivation of atmospheric and surface biophysical products from the MEdium Resolution Imaging Spectrometer Instrument (MERIS) on board ENVIronmental SATellite (ENVISAT/MERIS) Level 1b data over land has been developed. Georectified aerosol optical thickness (AOT), columnar water vapor (CWV), spectral surface reflectance and chlorophyll fluorescence (CF) maps are generated. Emphasis has been put on implementing a robust software able to provide those products on an operational manner, making no use of ancillary parameters apart from those attached to MERIS images. For this
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Gao, Xiang. "Optical-biophysical relationships and validation of MODIS vegetation indices with multiple fine spatial resolution data in semiarid rangelands." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279915.

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The vegetation index products from the Moderate Resolution Imaging Spectroradiometer (MODIS) are designed to provide consistent, spatial and temporal comparisons of global vegetation conditions. The objective of this dissertation was to validate the robustness and global implementation of two MODIS VI algorithms, including the normalized difference vegetation index (NDVI) and "enhanced" vegetation index (EVI). Their performances have been evaluated in: (1) the normalization of canopy background (brightness) variations and the extraction of biophysical parameters across different canopy structu
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Zsigovics, Gabor. "Derivation of biophysical variables from fine resolution imagery for co-processing with socio-economic data in an urban area." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ53459.pdf.

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Books on the topic "Biophysical data"

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1896-, Hall F. G., and Goddard Space Flight Center, eds. Biophysical, morphological, canopy optical property, and productivity data from the Superior National Forest. National Aeronautics and Space Administration, Goddard Space Flight Center, 1992.

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Vukovich, Fred M. Senegalese land surface change analysis and biophysical parameter estimation using NOAA AVHRR spectral data: Final report. National Aeronautics and Space Administration, 1990.

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Zsigovics, Gabor. Derivation of biophysical variables from fine resolution imagery for co-processing with socio-economic data in an urban area. National Library of Canada, 2000.

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Geological Survey (U.S.), ed. Characteristics of the Alaskan 1-Km advanced very high resolution radiometer data sets used for analysis of vegetation biophysical properties. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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United States. Dept. of Energy. Office of Health and Environmental Research, Commission of the European Communities, and Oak Ridge Associated Universities, eds. DOE/CEC workshop on critical evaluation of radiobiological data for biophysical modeling: Held at Oak Ridge Associated Universities, Oak Ridge, Tennessee, June 22-24, 1988. The Dept., 1988.

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Landmann, Tobias. A case study for Skukuza: Estimating biophysical properties of fires using EOS-MODIS satellite data : a field and remote sensing study to quantify burnt area and fire effects in South African semi-arid savannas. Shaker, 2004.

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Bloomfield, Victor. Computer Simulation and Data Analysis in Molecular Biology and Biophysics. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0083-8.

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Kaul, A., ed. Fundamentals and Data in Radiobiology, Radiation Biophysics, Dosimetry and Medical Radiological Protection. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23684-6.

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T, Leondes Cornelius, ed. Computational methods in biophysics, biomaterials, biotechnology and medical systems: Algorithm development, mathematical analysis, and diagnostics. Kluwer Academic Publishers, 2003.

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N, Buravt͡sev V., та Akademii͡a nauk SSSR. Nauchno-issledovatelʹskiĭ vychislitelʹnyĭ t͡sentr (Pushchino, Moscow, Russia), ред. II Vsesoi͡uznai͡a konferent͡sii͡a Matematicheskie i vychislitelʹnye metody v biologii: Biomolekuli͡arnye sistemy, 8-10 senti͡abri͡a 1987 g., Pushchino : tezisy dokladov. Akademii͡a nauk SSSR, Nauch. t͡sentr biologicheskikh issledovaniĭ, Nauchno-issl. vychislitelʹnyĭ t͡sentr, 1987.

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Book chapters on the topic "Biophysical data"

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Buxbaum, Engelbert. "Presenting Data." In Biophysical Chemistry of Proteins. Springer US, 2024. https://doi.org/10.1007/978-1-0716-4124-8_24.

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Buxbaum, Engelbert. "Testing Whether or Not a Model Fits the Data." In Biophysical Chemistry of Proteins. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7251-4_48.

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Buxbaum, Engelbert. "Testing Whether or Not a Model Fits the Data." In Biophysical Chemistry of Proteins. Springer US, 2024. https://doi.org/10.1007/978-1-0716-4124-8_23.

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Schuck, P. "Fredholm Integral Equations in Biophysical Data Analysis." In IFMBE Proceedings. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14998-6_87.

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Mandal, Dipankar, Avik Bhattacharya, and Yalamanchili Subrahmanyeswara Rao. "Biophysical Parameter Retrieval Using Compact-Pol SAR Data." In Radar Remote Sensing for Crop Biophysical Parameter Estimation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4424-5_6.

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Kolbitsch, Christoph, and Tobias Schaeffter. "Acceleration Strategies for Data Sampling in MRI." In Quantification of Biophysical Parameters in Medical Imaging. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65924-4_8.

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Kolbitsch, Christoph, and Tobias Schaeffter. "Acceleration Strategies for Data Sampling in Magnetic Resonance Imaging." In Quantification of Biophysical Parameters in Medical Imaging. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-61846-8_8.

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Mandal, Dipankar, Avik Bhattacharya, and Yalamanchili Subrahmanyeswara Rao. "Biophysical Parameter Retrieval Using Full- and Dual-Pol SAR Data." In Radar Remote Sensing for Crop Biophysical Parameter Estimation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4424-5_5.

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Navarro, Adrian, María Jose Checa, Francisco Lario, Laura Luquero, Asunción Roldán, and Jesús Estrada. "Monitoring Forest Health: Big Data Applied to Diseases and Plagues Control." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_25.

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AbstractIn this chapter, we present the technological background needed for understanding the problem addressed by this DataBio pilot. Spain has to face plagues and diseases affecting forest species, like Quercus ilex, Quercus suber or Eucaliptus sp. Consequently, Spanish Public Administrations need updated information about the health status of forests. This chapter explains the methodology created based on remote sensing images (satellite + aerial + Remotely Piloted Aircraft Systems (RPAS)) and field data for monitoring the mentioned forest status. The work focused on acquiring data for esta
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Manke, T., H. Roider, and M. Vingron. "A biophysical approach to large-scale protein-DNA binding data." In Modern Genome Annotation. Springer Vienna, 2008. http://dx.doi.org/10.1007/978-3-211-75123-7_5.

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Conference papers on the topic "Biophysical data"

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Smith, David J., Sean J. Josephson, and John C. Bischof. "A Model of Cryosurgical Destruction in AT-1 Prostate Tumor Based on Cellular Damage Mechanisms." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1326.

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Abstract The thermal history during a prostate cryosurgery is known to lead to different cooling rates, end-temperatures and end-times within a cryosurgical iceball. The tissue exposed to this range of thermal histories will experience thermally-induced biophysical events which affect cell viability (dehydration and intracellular ice formation. IIF), injury due solely to the temperature and time of exposure, and injury due to host response. In this study, the dehydration and IIF behavior of single AT-1 prostate cancer cells is experimentally measured, the biophysical parameters of water transp
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Cimpoesu, Maria Cristina, and Adrian Grozavu. "TOURISM ACTIVITIES AND VULNERABILITY TO NATURAL HAZARDS IN THE PIATRA-NEAMT CITY (NORTH-EAST ROMANIA)." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.44.

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In the area of the city of Piatra-Neamt (North-East of Romania), the activities related to the tourism sector may register malfunctions due to the manifestation of some natural risk phenomena. The touristic potential of the city (recreational, sports, balneary, cultural-historical) represents a central component of the national tourist structure with many exploitation possibilities. Risk situations of tourist activities can be induced by the natural hazards attributes (probability and intensity) and vulnerability conditions (physical, economic and social dimensions). The approach in the presen
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Cahill, K., and A. D. Fitzpatrick. "Deriving Biophysical Products from Airborne Electromagnetic Data." In Near Surface 2007 - 13th EAGE European Meeting of Environmental and Engineering Geophysics. European Association of Geoscientists & Engineers, 2007. http://dx.doi.org/10.3997/2214-4609.20146569.

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Kozlovszky, Miklos, Khulan Batbayar, Zoltan Garaguly, and Krisztian Karozkai. "Multimodal biophysical data visualization for patient monitoring." In 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2016. http://dx.doi.org/10.1109/saci.2016.7507411.

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Widera, M., J. Wrobel, A. Owczarek, A. Matonia, and M. Jezewski. "Data Management System for Computer Aided Biophysical Monitoring." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615523.

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Thorsten, Dahms, Conrad Christopher, Dinesh Kumar Babu, Schmidt Marco, and Borg Erik. "Derivation of biophysical parameters from fused remote sensing data." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127970.

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Vuolo, F., G. D'Urso, and L. Dini. "Cost-effectiveness of Vegetation Biophysical Parameters Retrieval from Remote Sensing Data." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.504.

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Yang, Hao, Xiaodong Yang, Xingang Xu, et al. "Potential of fully polarimetric SAR data for crops biophysical parameters retrieval." In 2012 First International Conference on Agro-Geoinformatics. IEEE, 2012. http://dx.doi.org/10.1109/agro-geoinformatics.2012.6311620.

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Sahin, Zehra Meltem, Esra Erten, and Gulsen Taskin Kaya. "Multi-Output Regressions For Estimating Canola Biophysical Parameters From PolSAR Data." In 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019. http://dx.doi.org/10.1109/agro-geoinformatics.2019.8820646.

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Vuolo, F., G. D'Urso, and L. Dini. "Cost effectiveness of vegetation biophysical parameters retrieval from remote sensing data." In Remote Sensing, edited by Manfred Owe, Guido D'Urso, Christopher M. U. Neale, and Ben T. Gouweleeuw. SPIE, 2006. http://dx.doi.org/10.1117/12.689839.

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Reports on the topic "Biophysical data"

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Lahn, Glada, and Greg Shapland. Cascading climate risks and options for resilience and adaptation in the Middle East and North Africa. The Royal Institute of International Affairs, 2022. http://dx.doi.org/10.55317/casc021.

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This report assesses the current situation and future projections of possible and likely biophysical climate impacts in the MENA region, based on a literature review, news articles and CASCADES climate impact data analysis.
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Djamai, N., R. A. Fernandes, L. Sun, F. Canisius, and G. Hong. Python version of Simplified Level 2 Prototype Processor for retrieving canopy biophysical variables from Sentinel-2 multispectral data. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/p8stuehwyc.

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La mission Sentinel-2 de Copernicus est conçue pour fournir des données pouvant être utilisées pour cartographier les variables biophysiques de la végétation a une échelle globale. Les estimations des variables biophysiques de la végétation ne sont pas encore produites de manière opérationnelle par le segment au sol de Sentinel-2. Plutôt, un algorithme de prédiction, appelé Simplified Level 2 Prototype Processor (SL2P), a été défini par l'Agence Spatiale Européenne. SL2P utilise deux réseaux neuronaux à rétropropagation, un pour estimer le variable biophysique de la végétation et l’autre pour
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Fernandes, R. A., and N. Djamai. Simplified Level 2 Vegetation Processor – Canada Centre for Remote Sensing (SL2P-CCRS) for estimating biophysical variables using multispectral-imager data. Natural Resources Canada/CMSS/Information Management, 2025. https://doi.org/10.4095/pgf517rsk9.

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Il existe un consensus sur la nécessité de surveiller globalement les variables biophysiques du couvert végétal à une résolution moyenne (&lt;1 ha) et avec une fréquence de &lt;=10 jours (Organisation Météorologique Mondiale, 2016). Les capteurs satellites multispectraux conçus pour satisfaire aux exigences de mesure pour cette tâche sont et continueront d'être disponibles (https://gcos.wmo.int/en/essential-climate-variables/requirements). Le Simplified Level 2 Processor – D (SL2P-D) produit des estimations des variables biophysiques du couvert végétal à partir d'entrées de réflectance multisp
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Guerrero Compeán, Roberto, Katie Arkema, Allison Bailey, et al. Opportunities for Leveraging New Data Technologies to Inform Disaster Risk Management and Integrated Coastal Zone Management in Latin America and the Caribbean: The Cases of the Bahamas, Belize, and Mexico. Inter-American Development Bank, 2023. https://doi.org/10.18235/0005038.

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We assess how new data technologies are helping innovative assessment methodologies, implementation, and monitoring of nature-based approaches in integrated coastal zone management and disaster risk management in the Latin America and the Caribbean region. We present new information showing how breakthroughs in data and modeling technologies are supporting better quantification of outcomes of nature-based approaches, in biophysical and social metrics, along coastal regions in The Bahamas, Belize and Mexico. Together, this set of diverse decision contexts demonstrates the power of new technolog
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Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.10. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.10.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 10 aims to provide more accurate and timely statistics about millet production in Ghana using the Africa Crop Production (AfCP) model. Developed at AKADEMIYA2063, the AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields and harvests at the beginning of every growing season.
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Downs, Janelle L., Kyle B. Larson, and Valerie I. Cullinan. Mapping Cheatgrass Across the Range of the Greater Sage-Grouse: Linking Biophysical, Climate and Remote Sensing Data to Predict Cheatgrass Occurrence. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1545321.

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Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.08. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.08.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 8 by AKADEMIYA2063 provides accurate and timely millet production statistics for Guinea using the Africa Crop Production (AfCP) model. The AfCP developed at AKADEMIYA2063 is an artificial intelligence (AI) based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of crop yields and harvests at the beginning of every growing season for nine crops in 47 African countries.
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Cihlar, J., J. M. Chen, Z. Li, et al. GeoComp-n, an advanced system for the processing of coarse and medium resolution satellite data. Part 2: Biophysical products for Northern ecosystems. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219755.

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Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.09. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.09.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 9 by AKADEMIYA2063 aims to provide timely and accurate statistics of millet production in Guinea-Bissau using the Africa Crop Production (AfCP) model developed at AKADEMIYA2063. The AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed geo-biophysical data to estimate crop yields and harvests at the beginning of every growing season for nine crops across 47 African countries.
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Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.01. AKADEMIYA2063, 2022. http://dx.doi.org/10.54067/acpf.01.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecasts by AKADEMIYA2063 aim to provide more accurate and timely statistics about harvest and yield levels for nine key crops across nearly 50 African countries. Developed at AKADEMIYA2063, the Africa Crop Production (AfCP) model is an artificial intelligence (AI) based forecasting model applied to remotely sensed geo-biophysical data to produce estimates of expected crop yields and harvests at the beginning of every growing season.
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