A multi-sensor remote sensing approach for measuring primary production from space

A multi-sensor remote sensing approach for measuring primary production from space Download PDF EPUB FB2

Get this from a library. A multi-sensor remote sensing approach for measuring primary production from space: final technical report for the three year grant.

[Catherine Gautier; United States. National Aeronautics and Space Administration.]. Another quite different approach that deals with the spatial problem includes a family of mechanistic models based on the use of satellite remote sensing of canopy light absorption and utilization for net primary production (NPP), referred to as production efficiency models (PEMs) (Prince et al., ).

Despite the fact that both PEMs and Cited by: Satellite remote sensing of primary production: An improved production efficiency modeling approach Article (PDF Available) in Ecological Modelling (3) October with Reads.

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. In: Remote sensing of drought: innovative monitoring approaches. CRC, Boca Raton, pp – Google Scholar Koster RD, Suarez MJ, Ducharne A, Stieglitz M, Kumar P () A catchment-based approach to modeling land surface processes in a general circulation model: 1.

model by: 1. Remote Sens., EISSNPublished by MDPI AG Disclaimer The statements, opinions and data contained in the journal Remote Sensing are solely those of the individual authors and contributors and not of the publisher and the editor(s).

RSS Content Alert. Further Information. Remote-sensing ocean color products have stringent requirements on radiometric calibration stability.

To address a calibration deficiency in Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua in recent years, the NASA Ocean Biology Processing Group (OBPG) developed a new calibration for reflective solar bands.

Fully updated, with significant new coverage of advances in satellite oceanography and results from new satellite missions, the second edition of this popular textbook introduces students to how remote sensing works, how to understand observations from Earth-observing systems, and the observations' importance to physical and biological by: Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach.

Remote Sensing of Environment. doi: / Advances in the Two Source Energy Balance (TSEB) model using very high resolution remote sensing data in vineyards. Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems. Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems.

() Satellite remote sensing of primary production: An improved production efficiency modeling approach. Ecological Cited by: Satellite hyperspectral remote sensing mission was piloted with the Hyperion EO-1 mission. 4 The EO-1 satellite was launched in fall to demonstrate the technology for the Landsat Data Continuity Mission.

Because of the satellite’s success, the research community successfully advocated to continue the image acquisition from EO Soil formation, primary production (land) and nutrient cycling are the least well represented categories with only three remote sensing proxies used.

Again, land cover (x ¯ ≅ 32 %) is the dominant proxy variable used among all the categories of ecosystem services, although LAI (x ¯ ≅ 13 %) and NDVI (x ¯ ≅ 7 %) biophysical data Cited by: Badura, Gregory P., et al."A Novel Approach for Deriving LAI of Salt Marsh Vegetation Using Structure from Motion and Multi-Angular Spectra." IEEE Journal of Selected Topics In Applied Earth Observations And Remote Sensing 2 (): Web.

Analyzing CO2 concentration changes and their influencing factors in Indonesia by OCO-2 and other multi-sensor remote-sensing data. International Journal of Digital Earth, 0, 0,/ Sea surface temperature (SST) is an important geophysical parameter, providing the boundary condition used in the estimation of heat flux at the air-sea interface.

On the global scale this is important for climate modeling, study of the earth's heat balance, and insight into atmospheric and oceanic circulation patterns and anomalies (such as El. The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous.

- Remote sensing and GIS in inflow estimation for reservoir operations – Magat Dam, Philippines Czar Jakiri S. Sarmiento, Rhodora M. Gonzalez & Peter M. Castro - Using selective drainage methods to hydrologically-condition and hydrologically-enforce LiDAR-derived surface flow Sandra Poppenga, Bruce Worstell, Jason Stoker & Susan.

In order to align the remote sensing images, we propose a novel hybrid method that combines image segmentation and salient region detection, which is inspired by human vision system. First of all, we present a novel superpixel-based method for dividing the image into sub-areas.

Second, we propose a novel method based on color and image textures for detecting salient regions Cited by: 2. PUBLICATIONS (since ) (Abstract not included, * indicates paper in refereed journal or reviewed book chapter) Liu, W.T., and X.

Xie, Non-sun-synchronous ocean surface wind measurement under heavy rain by CYGNSS. •However, our remote sensing data are not ready for this challenge – there is no consistent approach for characterizing quality of our data.

•This is why data quality is hot now. 10/21/ Leptoukh QA4EO'11 3. • Multi-sensor Remote Sensing Observations TRMM rainfall TMI microwave brightness temperature MODIS based evapotranspiration • Assimilation Techniques EnKF, particle filter, water balance constraint, copula model • Current Results and Findings Soil moisture, precipitation, evapotranspiration • Conclusions, Challenges, and Future Works.

Content. Machine vision is a key technology in the industrial manufacturing process and is used primarily for automation and quality assurance. For accurate and robust measurements in 2D and 3D sensor data in machine vision applications, photogrammetric methods must be adapted to industry-specific conditions and requirements.

Precision agriculture (PA), satellite farming or site specific crop management (SSCM) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in goal of precision agriculture research is to define a decision support system (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources.

Prince SD, Goward SN. Global primary production: a remote sensing approach. Journal of Biogeography. ; – Qin Z, Karnicli A. Progress in the remote sensing of land surface temperature and ground emissivity using NOAA-AV11RR data.

International Journal of Remote Sensing. ; – Quattrochi DA, Goodehild by: Pubs Warehouse Home > Browse > Book chapter. Browse the USGS Publication Warehouse Publications in the Series None. Earthquakes, ShakeCast,Structural equation modeling, Remote Sensing Applications Compiled and Edited by Dr.

Roy, Deputy Director, Remote Sensing & GIS Applications Area, NRSC Dr. R.S. Dwivedi and n RS & GIS Applications Area, NRSC Published by National Remote Sensing Centre Indian Space Research Organisation Dept. of Space, Govt. of India, Balanagar, Hyderabad – This chapter is part of the focus on the development in river basin management, and its specific objective is to provide an expository review of drainage basin morphometry and the relevance of remote sensing technology, especially for locations in developing countries, where sophisticated remote sensing technology are either expensive or challenged by limited : Adewole Adedayo Oreoluwa, Eludoyin Adebayo Oluwole.

Optical remote sensing of benthic habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas: A comparative spectral classification approach.

Limnol. Oceanogr., 48(1part2), pp the regional scale. Remote sensing (RS) can make a valuable contribution, by providing information at higher spatial and temporal resolution. Nevertheless, remote sensing has some limitations. Snow detection with optical sensors in clouded or shadowed areas and under the canopy is a still open issue for scientific Size: 1MB.

Internatinal Journal of Remote Sensing. 32 (20): Sprintsin, M., J. Chen, and P. Czurylow ic z, Combining land surface temperature and shortwave infrared reflectance for early detection of mountain pine beetle infestations in western Canada.

Journal of Applied Remote Sensing, 5: Dietze, M. et al. Grsg abstract book v5 Advances in Geological Remote Sensing 1. Abstract BookAdvances in Geological Remote Sensing(Including the Oil and Gas Earth Observation Group Workshop) December ESA/ESRIN, Frascati,Organised by:GRSG / OGEOHosted by:The European Space Agency (ESA)Last Update: 24 November 2.

1TABLE OF CONTENTS1. A Mission Flexible and Effective System for Remote Sensing Using Multi-Sensor Unmanned Air Systems. Proc. SPIERemote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, (19 May ); doi: / Return to Landsat Science Team Overview Landsat Science Team members are national and international leaders in land remote sensing, and evaluate operational and data management strategies to meet the requirements of all Landsat users, including the needs of policy makers at all levels of page lists of journal articles, book sections, reports, and conference.

Remote sensing and GIS applications in agrometeorology This Chapter was written by Bruno Basso, Tim R. McVicar and Byong Lee, with contributions from Hojjat Yazdanpanah and H.P.

Das The set up was assisted by facilitators Giovanni Cafiero, Davide Cammarano, H.P. Das, Lorenzo De Simone, Guido D’Urso, Valentina Maddalena V.K.

Sehgal, Nataraj. Research interest: Monitoring ecosystem health of coral reefs and seagrass habitats, integrating field and remote sensing image datasets, calibrating and validating of remotely sensed imagery in coastal environments, and the developing cost-effective benthic habitat mapping approaches.

He has developed unique field methods for the calibration and validation of high/low spatial resolution. Here the need to keep up-to-date is essential for providing effective and efficient services. Environmental Modeling with GIS and Remote Sensing derives from a training course run by ITC for professionals and managers in the environmental sciences, detailing the applications of remote sensing and GIS for environmental modeling and assessment.

Remote sensing from aircraft and space-based platforms offers unique large-scale synoptic data to address the intricate nature of coastal waters. However, many researchers wishing to apply remote sensing to a dynamic coastal environment are faced with the challenge of learning a technology laden with new and often confusing terminology, data.

1 Introduction. When the first issue of WRR was published in earlyeight years had passed since the launch of Sputnik 1, and seven since the launch of the first U.S.

satellite, Explorer 1. Science was not a primary driver of most early Earth remote sensing satellites. The Sputnik launch and massive U.S. response were deeply embedded in Cold War politics, with each nation attempting to Cited by: Full text of "Remote Sensing Information Science Research Group" See other formats.

Comparison of MODIS Gross Primary Production Estimates for U.S. Forests With Those Generated by 3-PGS, a Model That Accounts for Spatial Variation in .(), Satellite Remote Sensing Of Terrestrial Net Primary Production For the Pan-arctic Basin and Alaska.

Mitigation and Adaptation Strategies for Global Change .With a view to the new ISPRS commission structure, Technical Commission I Sensor Systems is concerned with the design, construction, characterization, calibration and use of imaging and non-imaging sensors, sensor systems and sensor networks for photogrammetry, remote sensing and spatial information science.

This includes the development of new and innovative technological concepts, yet.