Relevant bibliographies by topics / Satellite estimates

Contents

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

Academic literature on the topic 'Satellite estimates'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Satellite estimates"

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Smith, Thomas M., Phillip A. Arkin, John J. Bates, and George J. Huffman. "Estimating Bias of Satellite-Based Precipitation Estimates." Journal of Hydrometeorology 7, no. 5 (2006): 841–56. http://dx.doi.org/10.1175/jhm524.1.

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Abstract Systematic biases in satellite-based precipitation estimates can be the dominant component of their uncertainty. These biases may not be reduced by averaging, which makes their evaluation particularly important. Described here are several methods of evaluating the biases and their characteristics. Methods are developed and tested using monthly average precipitation estimates from several satellites. Direct estimates of bias are obtained from analysis of satellite–gauge estimates, and they indicate the general bias patterns and magnitudes over land. Direct estimates cannot be computed
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Zhang, Hai, Zigang Wei, Barron H. Henderson, Susan C. Anenberg, Katelyn O’Dell, and Shobha Kondragunta. "Nowcasting Applications of Geostationary Satellite Hourly Surface PM2.5 Data." Weather and Forecasting 37, no. 12 (2022): 2313–29. http://dx.doi.org/10.1175/waf-d-22-0114.1.

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Abstract The mass concentration of fine particulate matter (PM2.5; diameters less than 2.5 μm) estimated from geostationary satellite aerosol optical depth (AOD) data can supplement the network of ground monitors with high temporal (hourly) resolution. Estimates of PM2.5 over the United States were derived from NOAA’s operational geostationary satellites’ Advanced Baseline Imager (ABI) AOD data using a geographically weighted regression with hourly and daily temporal resolution. Validation versus ground observations shows a mean bias of −21.4% and −15.3% for hourly and daily PM2.5 estimates, r
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Itkin, M., and A. Loew. "Multi-satellite rainfall sampling error estimates – a comparative study." Hydrology and Earth System Sciences Discussions 9, no. 10 (2012): 11677–706. http://dx.doi.org/10.5194/hessd-9-11677-2012.

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Abstract. This study focus is set on quantifying sampling related uncertainty in the satellite rainfall estimates. We conduct observing system simulation experiment to estimate sampling error for various constellations of Low-Earth orbiting and geostationary satellites. There are two types of microwave instruments currently available: cross track sounders and conical scanners. We evaluate the differences in sampling uncertainty for various satellite constellations that carry instruments of the common type as well as in combination with geostationary observations. A precise orbital model is use
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Bowman, Kenneth P., Cameron R. Homeyer, and Dalon G. Stone. "A Comparison of Oceanic Precipitation Estimates in the Tropics and Subtropics." Journal of Applied Meteorology and Climatology 48, no. 7 (2009): 1335–44. http://dx.doi.org/10.1175/2009jamc2149.1.

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Abstract A number of Earth remote sensing satellites are currently carrying passive microwave radiometers. A variety of different retrieval algorithms are used to estimate surface rain rates over the ocean from the microwave radiances observed by the radiometers. This study compares several different satellite algorithms with each other and with independent data from rain gauges on ocean buoys. The rain gauge data are from buoys operated by the NOAA Pacific Marine Environmental Laboratory. Potential errors and biases in the gauge data are evaluated. Satellite data are from the Tropical Rainfal
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Tian, Yudong, Christa D. Peters-Lidard, Robert F. Adler, Takuji Kubota, and Tomoo Ushio. "Evaluation of GSMaP Precipitation Estimates over the Contiguous United States." Journal of Hydrometeorology 11, no. 2 (2010): 566–74. http://dx.doi.org/10.1175/2009jhm1190.1.

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Abstract Precipitation estimates from the Global Satellite Mapping of Precipitation (GSMaP) project are evaluated over the contiguous United States (CONUS) for the period of 2005–06. GSMaP combines precipitation retrievals from the Tropical Rainfall Measuring Mission satellite and other polar-orbiting satellites, and interpolates them with cloud motion vectors derived from infrared images from geostationary satellites, to produce a high-resolution dataset. Four other satellite-based datasets are also evaluated concurrently with GSMaP, to provide a better perspective. The new Climate Prediction
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Utsumi, Nobuyuki, Hyungjun Kim, F. Joseph Turk, and Ziad S. Haddad. "Improving Satellite-Based Subhourly Surface Rain Estimates Using Vertical Rain Profile Information." Journal of Hydrometeorology 20, no. 5 (2019): 1015–26. http://dx.doi.org/10.1175/jhm-d-18-0225.1.

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Abstract Quantifying time-averaged rain rate, or rain accumulation, on subhourly time scales is essential for various application studies requiring rain estimates. This study proposes a novel idea to estimate subhourly time-averaged surface rain rate based on the instantaneous vertical rain profile observed from low-Earth-orbiting satellites. Instantaneous rain estimates from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) are compared with 1-min surface rain gauges in North America and Kwajalein atoll for the warm seasons of 2005–14. Time-lagged correlation analysis be
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Konings, Alexandra G., A. Anthony Bloom, Junjie Liu, Nicholas C. Parazoo, David S. Schimel, and Kevin W. Bowman. "Global satellite-driven estimates of heterotrophic respiration." Biogeosciences 16, no. 11 (2019): 2269–84. http://dx.doi.org/10.5194/bg-16-2269-2019.

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Abstract. While heterotrophic respiration (Rh) makes up about a quarter of gross global terrestrial carbon fluxes, it remains among the least-observed carbon fluxes, particularly outside the midlatitudes. In situ measurements collected in the Soil Respiration Database (SRDB) number only a few hundred worldwide. Similarly, only a single data-driven wall-to-wall estimate of annual average heterotrophic respiration exists, based on bottom-up upscaling of SRDB measurements using an assumed functional form to account for climate variability. In this study, we exploit recent advances in remote sensi
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Gerbi, Gregory P., Emmanuel Boss, P. Jeremy Werdell, et al. "Validation of Ocean Color Remote Sensing Reflectance Using Autonomous Floats." Journal of Atmospheric and Oceanic Technology 33, no. 11 (2016): 2331–52. http://dx.doi.org/10.1175/jtech-d-16-0067.1.

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AbstractThe use of autonomous profiling floats for observational estimates of radiometric quantities in the ocean is explored, and the use of this platform for validation of satellite-based estimates of remote sensing reflectance in the ocean is examined. This effort includes comparing quantities estimated from float and satellite data at nominal wavelengths of 412, 443, 488, and 555 nm, and examining sources and magnitudes of uncertainty in the float estimates. This study had 65 occurrences of coincident high-quality observations from floats and MODIS Aqua and 15 occurrences of coincident hig
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Dietrich, S., D. Casella, F. Di Paola, M. Formenton, A. Mugnai, and P. Sanò. "Lightning-based propagation of convective rain fields." Natural Hazards and Earth System Sciences 11, no. 5 (2011): 1571–81. http://dx.doi.org/10.5194/nhess-11-1571-2011.

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Abstract. This paper describes a new multi-sensor approach for continuously monitoring convective rain cells. It exploits lightning data from surface networks to propagate rain fields estimated from multi-frequency brightness temperature measurements taken by the AMSU/MHS microwave radiometers onboard NOAA/EUMETSAT low Earth orbiting operational satellites. Specifically, the method allows inferring the development (movement, morphology and intensity) of convective rain cells from the spatial and temporal distribution of lightning strokes following any observation by a satellite-borne microwave
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Li, Min, and Yunbin Yuan. "Estimation and Analysis of the Observable-Specific Code Biases Estimated Using Multi-GNSS Observations and Global Ionospheric Maps." Remote Sensing 13, no. 16 (2021): 3096. http://dx.doi.org/10.3390/rs13163096.

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Observable-specific bias (OSB) parameterization allows observation biases belonging to various signal types to be flexibly addressed in the estimation of ionosphere and global navigation satellite system (GNSS) clock products. In this contribution, multi-GNSS OSBs are generated by two different methods. With regard to the first method, geometry-free (GF) linear combinations of the pseudorange and carrier-phase observations of a global multi-GNSS receiver network are formed for the extraction of OSB observables, and global ionospheric maps (GIMs) are employed to correct ionospheric path delays.
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Dissertations / Theses on the topic "Satellite estimates"

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Enbäck, Henrik, and Charlotta Eriksson. "Hybrid Rainfall Estimates from Satellite, Lightning and Ground Station Data in West Africa." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254757.

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Most of the working population in Ghana are farmers. It is of importance for them to know where and when precipitation will occur to prevent crop losses due to droughts and floodings. In order to have a sustainable agriculture, improved rainfall forecasts are needed. One way to do that is to enhance the initial conditions for the rainfall models. In the mid-latitudes, in-situ rainfall observations and radar data are used to monitor weather and measure rainfall. However, due to the lack of station data and the present absence of a radar network in West Africa, other rainfall estimates are neede
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Mote, Shekhar Raj. "EVALUATION OF STATE-OF-THE-ART PRECIPITATION ESTIMATES: AN APPROACH TO VALIDATE MULTI-SATELLITE PRECIPITATION ESTIMATES." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2364.

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Availability of precipitation data is very important in every aspect related to hydrology. Readings from the ground stations are reliable and are used in hydrological models to do various analysis. However, the predictions are always associated with uncertainties due to the limited number of ground stations, which requires interpolation of the data. Meanwhile, groundbreaking approach in capturing precipitation events from vantage point through satellites in space has created a platform to not only merge ground data with satellite estimates to produce more accurate result, but also to find the
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Smolinski, Steven P. "Marine boundary layer depth and relative humidity estimates using multispectral satellite measurements." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23069.

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A technique is presented to estimate surface relative humidity and boundary layer depth from multispectral satellite measurements using the AVHRR sensor on TIROS-N generation satellites. A sensitivity study quantifies the effect of a combination of input measurement errors of sea-surface temperature, optical depth and total water vapor used in the technique to produce outputs of surface relative humidity and boundary layer depth under simulated conditions and model atmospheres. Technique verification is then accomplished with satellite data compared to ship and aircraft vertical soundings and
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Teo, Chee-Kiat. "Application of satellite-based rainfall estimates to crop yield forecasting in Africa." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434333.

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Margulis, Steven A. (Steven Adam) 1973. "Temporal disaggregation of satellite-derived monthly precipitation estimates for use in hydrologic applications." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/17453.

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Horvath, Akos. "Differences between satellite measurements and theoretical estimates of global cloud liquid water amounts." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280553.

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This dissertation investigated the estimation of global cloud water amounts. The study was prompted by the large discrepancy in published global mean values of cloud liquid water path. Microwave and optical satellite measurements of this quantity range from 25 g/m² to 80 g/m². Theoretical estimates are significantly larger with a current best guess value of 380 g/m². The major limitations of microwave measurements were found to be the inadequate separation of the cloud- and rainwater components, and the lack of retrievals over land. Optical observations were found to be constrained by the trun
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Athey, Ashley Taylor. "Verification of Satellite Derived Precipitation Estimates Over Complex Terrain: A Ground Truth Analysis for Nepal." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52917.

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Precipitation estimates from the satellite-based Tropical Rainfall Measuring Mission (TRMM) instrumentation play a key role in flood analysis and water resource management across many regions of the world where rain gauge data are sparsely available. Previous studies have produced conflicting results regarding the accuracy of satellite-derived precipitation products, and several authors have called for further examination of their utility, specifically across the Himalaya Mountains region of southern Asia. In this study, daily precipitation estimates generated by TRMM were compared to daily p
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Hyzer, Garrett. "Effects of GPS Error on Animal Home Range Estimates." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4338.

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This study examined how variables related to habitat cover types can affect the positional accuracy of Global Positioning System (GPS) data and, subsequently, how wildlife home range analysis can be influenced when utilizing this inaccurate data. This study focused on measuring GPS accuracy relative to five habitat variables: open canopy, sparse canopy, dense canopy, open water, and building proximity. The study took place in Hillsborough County, in residential areas that contain all of these habitat types. Five GPS devices, designed for wildlife tracking purposes, were used to collect the
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Robertson, Noel Arthur. "Model-based and satellite estimates of snow hydrology and carbon fluxes at high latitudes." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555106.

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This thesis is a study of how satellite data can be used to improve our understanding of the snow hydrology of boreal regions and its effects on their hydrological and carbon balance. The key parameter is the snow water equivalent (SWE). The thesis addresses two themes; (1) snow parameter retrieval from satellite data, and (2) the dependence on SWE of the hydrological and carbon balance of boreal regions. Using radiative transfer models, linked to a climate-driven snow model, it was found that the brightness temperature is most sensitive to the snow grain size, with SWE the second most signifi
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Oliveira, Rômulo Augusto Jucá. "Characteristics and error modeling of GPM satellite rainfall estimates during CHUVA campaign in Brazil." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/05.22.17.16.

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Studies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling and natural hazard monitoring. Over regions of the globe that lack in situ observations, such studies are only possible through intensive field measurement campaigns, which provide a range of high quality ground measurements, e.g., CHUVA (Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and t
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Books on the topic "Satellite estimates"

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L, Colborn B., Science Applications International Corporation, and George C. Marshall Space Flight Center. Astrophysics Division., eds. Scoping estimates of the LDEF satellite induced radioactivity. Science Applications International Corporation, 1990.

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United States. National Aeronautics and Space Administration., ed. Reusable Reentry Satellite (RRS): System cost estimates document. Science Applications International Corp., 1991.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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United States. National Environmental Satellite, Data, and Information Service., ed. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Tai, Chang-Kou. On estimating the basin-scale ocean circulation from satellite altimetry. Scripps Institution of Oceanography, 1988.

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Tai, Chang-Kou. On estimating the basin-scale ocean circulation from satellite altimetry. Scripps Institution of Oceanography, 1988.

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Book chapters on the topic "Satellite estimates"

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Ebert, Elizabeth E. "Methods for Verifying Satellite Precipitation Estimates." In Measuring Precipitation From Space. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5835-6_27.

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Coifman, R., and S. Semmes. "L 2 Estimates in Nonlinear Fourier Analysis." In ICM-90 Satellite Conference Proceedings. Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68168-7_7.

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Antoñanzas-Torres, F., J. Antonanzas, F. J. Martínez-de-Pisón, M. Alia-Martinez, and O. Perpiñán-Lamigueiro. "Downscaling of Solar Irradiation from Satellite Estimates." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12754-5_15.

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Martin, Timothy C., Richard G. Allen, Larry E. Brazil, J. Philip Burkhalter, and Jason S. Polly. "Evapotranspiration Estimates from Remote Sensing for Irrigation Water Management." In Satellite-based Applications on Climate Change. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5872-8_13.

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Carbery, Anthony, Eugenio Hernández, and Fernando Soria. "Estimates for the Kakeya Maximal Operator on Radial Functions in Rn." In ICM-90 Satellite Conference Proceedings. Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68168-7_4.

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McConnell, Alan, and Gerald R. North. "Sampling Errors in Satellite Estimates of Tropical Rain." In Collected Reprint Series. American Geophysical Union, 2013. http://dx.doi.org/10.1002/9781118782071.ch3.

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Tarnavsky, Elena, and Rogerio Bonifacio. "Drought Risk Management Using Satellite-Based Rainfall Estimates." In Advances in Global Change Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35798-6_28.

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Antolini, Fabrizio, Antonio Giusti, and Francesca Petrei. "Tourism and territorial economy: beyond satellite accounting." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.13.

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The tourism sector can be an important factor for the economic development. The increase in the present population, due to tourist flows, also activates a series of other sectors, generating significant economic benefits. At international level, the main tool for this type of evaluation has been identified in satellite accounting, which estimates the value added of the tourism sector, possibly increased by that coming from other similar sectors, obtaining the tourism value added. At European level, satellite accounting is a voluntary exercise for countries, which almost never finds a dimension
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Field, Robert D. "Using Satellite Estimates of Precipitation for Fire Danger Rating." In Advances in Global Change Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35798-6_33.

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Turk, F. Joseph, and Amita V. Mehta. "Toward Improvements in Short-time Scale Satellite-Derived Precipitation Estimates using Blended Satellite Techniques." In Measuring Precipitation From Space. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5835-6_22.

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Conference papers on the topic "Satellite estimates"

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BniLam, Noori, and Paolo Crosta. "Resilient GNSS Coarse Positioning based of Angle of Arrival Estimates." In 2024 11th Workshop on Satellite Navigation Technology (NAVITEC). IEEE, 2024. https://doi.org/10.1109/navitec63575.2024.10843622.

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Abbate, Nicolás F., Leonardo Gasparini, Franco Ronchetti, and Facundo Quiroga. "High-Resolution Income Estimates Using Satellite Imagery: A Deep Learning Approach Applied in Buenos Aires." In 2024 L Latin American Computer Conference (CLEI). IEEE, 2024. http://dx.doi.org/10.1109/clei64178.2024.10700489.

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Claver Kakou, Konin Pierre, Dungall Laouali, Boko Aka, Janet Appiah Osei, Nicaise Franck Kassi Ette, and Georg Frey. "Validation of Satellite-derived Daily Sunshine Duration Estimates Against Campbell-Stokes Sensor Measurements in Côte d’Ivoire." In 2024 IEEE International Humanitarian Technologies Conference (IHTC). IEEE, 2024. https://doi.org/10.1109/ihtc61819.2024.10855142.

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Suraweera, Buddhi, Kasun De Silva, Luminda Gunawardhana, and Lalith Rajapakse. "Evaluation of Satellite Rainfall Estimates for Surface Runoff Modelling in the Maha Oya Basin, Sri Lanka." In 2024 Moratuwa Engineering Research Conference (MERCon). IEEE, 2024. http://dx.doi.org/10.1109/mercon63886.2024.10689062.

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Von Arnim, Maximilian, Steffen Gaisser, and Sabine Klinkner. "Improved sensor fusion for flying laptop based on a multiplicative EKF." In Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.049.

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Flying Laptop is a small satellite carrying an optical communications payload. It was launched in 2017. To improve the satellite’s attitude determination, which is used to point the payload, a new sensor fusion algorithm based on a low pass filter and a multiplicative extended Kalman filter (MEKF) was developed. As an operational satellite, improvements are only possible via software updates. The algorithm estimates the satellite's attitude from star tracker and fibre-optical gyroscope (FOG) measurements. It also estimates the gyroscope bias. The global attitude estimate uses a quaternion repr
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Rosin, Paul L. "Refining region estimates for post-processing image classification." In Satellite Remote Sensing, edited by Jacky Desachy. SPIE, 1994. http://dx.doi.org/10.1117/12.196718.

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Bian, Jeffrey Y., Juliana Y. Leung, Nick Volkmer, and Jingwen Zheng. "An Improved Workflow in Mass Balance Approach for Estimating Regional Methane Emission Rate Using Satellite Measurements." In SPE Canadian Energy Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212791-ms.

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Abstract Satellite-retrieved methane (CH4) concentration data offers a valuable opportunity for large-scale emissions monitoring. However, its widespread adoption remains challenging due to the data volume and varying data quality. A workflow to estimate the methane emission rate of major hydrocarbon plays based on the mass balance principle using publicly available Sentinel-5P satellite data is presented. This workflow estimates the methane emission rate originating from specific regions. The proposed workflow is applied to estimate emissions from the Permian Basin and the Appalachian Basin i
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Habte, Aron, Manajit Sengupta, and Stephen Wilcox. "Comparing Measured and Satellite-Derived Surface Irradiance." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91417.

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The purpose of this study is two-fold: 1) To examine the performance of the Global Solar Insolation Project (GSIP) physics-based model in characterizing global horizontal solar radiation across the United States by comparing to the ground measured data, and 2) to examine improvements of the GSIP data to address temporal and spatial variations. The study enumerates and examines the spatial and temporal limitations of the GSIP model. Most comparisons demonstrate relatively good statistical agreement. However, the methodology used in the satellite model to distinguish microclimate conditions pres
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Painter, Thomas H., Dar A. Roberts, Robert O. Green, and Jeff Dozier. "Improving alpine region spectral mixture analysis estimates of snow-covered area." In Satellite Remote Sensing II, edited by Edwin T. Engman, Gerard Guyot, and Carlo M. Marino. SPIE, 1995. http://dx.doi.org/10.1117/12.227196.

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Pini, Agnese, Giovanni Leuzzi, and Paolo Monti. "Estimates of turbulence parameters from satellite-tracked drifters." In 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS). IEEE, 2016. http://dx.doi.org/10.1109/eesms.2016.7504839.

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Reports on the topic "Satellite estimates"

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Fowlie, Meredith, Edward Rubin, and Reed Walker. Bringing Satellite-Based Air Quality Estimates Down to Earth. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25560.

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Sengupta, Manajit, and Peter Gotseff. Evaluation of Clear Sky Models for Satellite-Based Irradiance Estimates. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1118101.

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Hofer, Martin, Tomas Sako, Arturo Martinez Jr., et al. Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics. Asian Development Bank, 2020. http://dx.doi.org/10.22617/wps200432-2.

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This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand. Computer vision techniques were applied on publicly available medium resolution satellite imagery, household surveys, and census data from the two countries. The results suggest that even using publicly accessible satellite imagery, predictions generally aligned with the distributional structure of government-published poverty estimates after calibration. The study further examines the robustness of the resulting estimates to
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Calafat, Francisco Mir, Thomas Frederikse, and Kevin Horsburgh. Mediterranean trend and acceleration sea-level estimates. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.2_v2.

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Sea-level change is geographically non-uniform, with regional departures that can reach several times the global average rate of change. Characterizing this spatial variability and understanding its causes is crucial to the design of adaptation strategies for sea-level rise. This, as it turns out, is no easy feat, primarily due to the sparseness of the observational sea-level record in time and space. Long tide gauge records are restricted to a few locations along the coast. Satellite altimetry offers a better spatial coverage but only since 1992. In the Mediterranean Sea, the tide gauge netwo
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Cogan, James. Some Potential Errors in Satellite Wind Estimates Using the Geostrophic Approximation and the Thermal Wind. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269784.

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Komppula, Birgitta, Tomi Karppinen, Henrik Virta, et al. Air quality in Finland according to air quality measurements and satellite observations. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361409.

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In this report the current air quality in Finland has been assessed with air quality measurement data and satellite observations. The assessment of ambient air concentrations included following air impurities: NO2, NOx, PM10, PM2,5, SO2, CO, O3, benzo(a)pyrene, benzene, Pb, As, Cd ja Ni. For these pollutants air quality assessment thresholds are given in air quality legislation (2008/50/EY, 2004/107/EY). Assessment has been performed for air quality zones. The main data set included air quality measurements performed in Finland during 2015–2019. Satellite observations were used as an objective
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Gasim, Anwar, Walid Matar, Abdelrahman Muhsen, Srivatsan Anand, and Julian Guery. Using Satellite Technology to Measure Methane Emissions in Arabian Gulf Countries. King Abdullah Petroleum Studies and Research Center, 2024. http://dx.doi.org/10.30573/ks--2024-dp38.

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Decision makers need high-quality information on the level of greenhouse gas (GHG) emissions to take effective climate actions. Of the GHGs, methane can be particularly difficult to measure. Huge discrepancies exist in methane emission estimates at the global, national, and corporate levels. Satellites have recently emerged as a promising solution for better methane emissions measurement.
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Kirkham, Randy R. Comparison of surface energy fluxes with satellite-derived surface energy flux estimates from a shrub-steppe. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10135371.

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Shrestha, M. S., R. Rajbhandari, and S. R. Bajracharya. Validation of NOAA CPC_RFE2.0 Satellite-based Rainfall Estimates in the Central Himalayas; Working Paper 2013/5. International Centre for Integrated Mountain Development (ICIMOD), 2013. http://dx.doi.org/10.53055/icimod.585.

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Shrestha, M. S., R. Rajbhandari, and S. R. Bajracharya. Validation of NOAA CPC_RFE2.0 Satellite-based Rainfall Estimates in the Central Himalayas; Working Paper 2013/5. International Centre for Integrated Mountain Development (ICIMOD), 2013. http://dx.doi.org/10.53055/icimod.585.

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