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Remote Sensing
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Land Surface Fluxes
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Land Surface Fluxes

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 July 2009) | Viewed by 29606

Special Issue Editors

Prof. Dr. Assefa M. Melesse

E-Mail Website
Guest Editor
Department of Earth and Environment, AHC-5-390, Florida International University, 11200 SW 8th Street, Miami, FL, USA
Interests: remote sensing; watershed modeling; climate change impact; sediment dynamics; river basin management
Special Issues, Collections and Topics in MDPI journals
Dr. Gabriel Senay

E-Mail Website
Guest Editor
USGS EROS Center, North Central Climate Adaptation Science Center, Fort Collins, CO 80523, USA
Interests: remote sensing hydrology; evapotranspiration and soil moisture modeling; drought monitoring and food security; water use, quality, and availability
Special Issues, Collections and Topics in MDPI journals
Dr. Mekonnen Gebremichael

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, University of Connecticut, 261 Glenbrook Rd., UNIT-2037, Storrs, CT 06269-2037, USA
Interests: distributed watershed hydrologic modeling; water-energy-carbon fluxes coupling; land-atmosphere interaction; remote sensing applications in hydrology; hydrometeorology; hydroclimatology and ecohydrology; stochastic methods (spatial and temporal analyses); uncertainty analysis; non-linear dynamics (scaling issues)

Special Issue Information

Dear Colleagues,

Energy, water, carbon, and nitrogen (E-W-C-N) fluxes are all critical for humans and ecosystems and have strong links to climate. These fluxes have been perturbed by human activity throughout human history. However, these influences have accelerated in the past five decades or so, causing marked changes in regional and global climate. E-W-C-N fluxes show notable relationships and feedbacks. To quantify these fluxes at a larger spatial scale and establish the link among fluxes and their linkages to climate and hydrological dynamics, remote sensing approaches will be essential and practical.The Special Issue of Remote Sensing journal will publish those full research and high rated manuscripts addressing E-W-C-N fluxes using remote sensing data assimilation and modeling approaches. Flux and surface parameter estimation; evapotranspiration modeling and validation; carbon, methane and nitrogen fluxes from different ecosystems and in relation to field or watershed management options; remote sensing data assimilation and integration to landscape models; fluxes and climate dynamics; spatial and temporal dynamics of fluxes using new machine learning techniques (ANN, neurofuzzy, and others) will be accepted.

Prof. Dr. Assefa M. Melesse
Dr. Gabriel Senay
Dr. Mekonnen Gebremichael
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water
  • carbon, nitrogen and energy fluxes
  • soil moisture
  • albedo
  • emssivity
  • surface temperature
  • wetlands
  • latent heat flux
  • sensible heat flux

Published Papers (2 papers)

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Research

866 KiB  
Article
Mapping Latent Heat Flux in the Western Forest Covered Regions of Algeria Using Remote Sensing Data and a Spatialized Model
by Souidi Zahira, Hamimed Abderrahmane, Khalladi Mederbal and Donze Frederic
Remote Sens. 2009, 1(4), 795-817; https://doi.org/10.3390/rs1040795 - 27 Oct 2009
Cited by 21 | Viewed by 14212
Abstract
The present paper reports on an investigation to monitor the drought status in Algerian forest covered areas with satellite Earth observations because ground data are scarce and hard to collect. The main goal of this study is to map surface energy fluxes with [...] Read more.
The present paper reports on an investigation to monitor the drought status in Algerian forest covered areas with satellite Earth observations because ground data are scarce and hard to collect. The main goal of this study is to map surface energy fluxes with remote sensing data, based on a simplified algorithm to solve the energy balance equation on each data pixel. Cultivated areas, forest cover and a large water surface were included in the investigated surfaces. The input parameters involve remotely sensed data in the visible, near infrared and thermal infrared. The surface energy fluxes are estimated by expressing the partitioning of energy available at the surface between the sensible heat flux (H) and the latent heat flux (LE) through the evaporative fraction (Λ) according to the S-SEBI (Simplified Surface Energy Balance Index) concept. The method is applicable under the assumptions of constant atmospheric conditions and sufficient wet and dry pixels over a Landsat 7 image. The results are analyzed and discussed considering instantaneous latent heat flux at the data acquisition time. The results confirm the relationships between albedo (r0), the surface temperature (T0) and the evaporative fraction. The method provides estimates of air temperature and LE close to reference measurements. The estimate of latent heat flux and other variables are comparable to those of previous studies. Their comparison with other methods shows reasonable agreement. This approach has demonstrated its simplicity and the fact that remote sensing data alone is sufficient; it could be very promising in areas where data are scarce and difficult to collect. Full article
(This article belongs to the Special Issue Land Surface Fluxes)
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331 KiB  
Article
Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data
by Pavel Propastin and Martin Kappas
Remote Sens. 2009, 1(3), 159-183; https://doi.org/10.3390/rs1030159 - 06 Jul 2009
Cited by 28 | Viewed by 14412
Abstract
Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 × 1 km were calculated as a product of photosynthetically active radiation [...] Read more.
Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 × 1 km were calculated as a product of photosynthetically active radiation (PAR) and its fraction absorbed by vegetation (fPAR), the light use efficiency (LUE) and ecosystem respiration (Re). The PAR is obtained from a mathematical model incorporating Earth-Sun distance, solar inclination, solar elevation angle, geographical position and cloudiness information of localities. The fPAR was measured in field using hemispherical photography and was extrapolated to each pixel by combination with the Normalized Difference Vegetation Index (NDVI) obtained by the Vegetation instrument on board the Satellite Pour l’Observation de la Terra (SPOT) satellite. Gross Primary Production (GPP) of the aboveground and belowground vegetation of 14 sites along a 230 km west-east transect within the study region were determined at the peak of growing season in different land cover types and linearly related to the amount of PAR absorbed by vegetation (APAR). The product of this relationship is LUE = 0.61 and 0.97 g C/MJ APAR for short grassland and steppe, respectively. The Re is estimated using complex models driven by climatic data. Growing season carbon sequestration was calculated for the modelling year of 2004. Overall, the short grassland was a net carbon sink, whereas the steppe was carbon neutral. The evaluation of the modelled carbon sequestration against independent reference data sets proved high accuracy of the estimations. Full article
(This article belongs to the Special Issue Land Surface Fluxes)
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