Výsledky vyhledávání - "P.C. Doraiswamy"

Comparison of different MODIS data product collections over an agricultural area

Autor: P.C. Doraiswamy, E. Raymond Hunt, Alan J. Stern

Publikováno v: Remote Sensing Letters. 5:1-9

Standard data products from NASA’s moderate resolution imaging spectroradiometer (MODIS) were available at launch (collection 3) and have undergone two revisions (collections 4 and 5) during the continuing Terra and Aqua missions. In 2000, a resear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8f80b60989b0912661797987cac38012
https://doi.org/10.1080/2150704x.2013.862600

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Spectral Reflectance of Wheat Residue during Decomposition and Remotely Sensed Estimates of Residue Cover

Autor: Guy Serbin, Craig S. T. Daughtry, P.C. Doraiswamy, E.R. Hunt, James B. Reeves

Publikováno v: Remote Sensing
Volume 2
Issue 2
Pages: 416-431
Remote Sensing, Vol 2, Iss 2, Pp 416-431 (2010)

Remotely sensed estimates of crop residue cover (fR) are required to assess the extent of conservation tillage over large areas; the impact of decay processes on estimates of residue cover is unknown. Changes in wheat straw composition and spectral r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::526f7132a86e9bf481cc413ad58f7260
https://doi.org/10.3390/rs2020416

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Modeling organic carbon dynamics under no-tillage and plowed systems in tropical soils of Brazil using CQESTR

Autor: Hector J. Causarano, Hero T. Gollany, Eduardo de Sá Mendonça, P.C. Doraiswamy, Luiz Fernando Carvalho Leite, Sushil Milak

Publikováno v: Soil and Tillage Research. 102:118-125

CQESTR simulates the effect of management practices on soil organic carbon (SOC) stocks. The beta version of the model had been calibrated and validated for temperate regions. Our objective was to evaluate the CQESTR model performance for simulating

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::351a253fcf2f89dc5ce22ea8f2c66822
https://doi.org/10.1016/j.still.2008.08.003

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EPIC Modeling of Soil Organic Carbon Sequestration in Croplands of Iowa

Autor: Alan J. Stern, Jerry L. Hatfield, Hector J. Causarano, P.C. Doraiswamy, Sushil Milak, Gregory W. McCarty

Publikováno v: Journal of Environmental Quality. 37:1345-1353

Depending on management, soil organic carbon (SOC) is a potential source or sink for atmospheric CO 2 . We used the EPIC model to study impacts of soil and crop management on SOC in corn (Zea mays L.) and soybean (Glycine max L. Merr.) croplands of I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99f97aa7c233198a944328e4a12eae03
https://doi.org/10.2134/jeq2007.0277

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Modeling soil carbon sequestration in agricultural lands of Mali

Autor: Mamadou Doumbia, Alan J. Franzluebbers, P.C. Doraiswamy, Greg McCarty, Russell Yost, E. R. Hunt

Publikováno v: Agricultural Systems. 94:63-74

Agriculture in sub-Saharan Africa is a low-input low-output system primarily for subsistence. Some of these areas are becoming less able to feed the people because of land degradation and erosion. The aim of this study is to characterize the potentia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79057d6625ae33fb8f21da42a28b1639
https://doi.org/10.1016/j.agsy.2005.09.011

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Remote sensing of crop residue cover and soil tillage intensity

Autor: Alan J. Stern, Craig S. T. Daughtry, P.C. Doraiswamy, E.R. Hunt, James E. McMurtrey, John H. Prueger

Publikováno v: Soil and Tillage Research. 91:101-108

Management of plant litter or crop residues in agricultural fields is an important consideration for reducing soil erosion and increasing soil organic C. Current methods of quantifying crop residue cover are inadequate for characterizing the spatial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4d6b5089ee03d04814de5d8a67ec9bb
https://doi.org/10.1016/j.still.2005.11.013

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Application of MODIS derived parameters for regional crop yield assessment

Autor: B. Akhmedov, John H. Prueger, Thomas R. Sinclair, Alan J. Stern, P.C. Doraiswamy, Steven E. Hollinger

Publikováno v: Remote Sensing of Environment. 97:192-202

NOAA AVHRR has been used extensively for monitoring vegetation condition and changes across the United States. Integration of crop growth models with MODIS imagery at 250 m resolution from the Terra Satellite potentially offers an opportunity for ope

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::988867721f3d79691f38e577bced006d
https://doi.org/10.1016/j.rse.2005.03.015

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Remote Sensing the Spatial Distribution of Crop Residues

Autor: P.C. Doraiswamy, E.R. Hunt, James E. McMurtrey, Craig S. T. Daughtry

Publikováno v: Agronomy Journal. 97:864-871

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bfe5cd95db4dbf4b81d3b5ece4136040
https://doi.org/10.2134/agronj2003.0291

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Crop condition and yield simulations using Landsat and MODIS

Autor: Thomas J. Jackson, Alan J. Stern, B. Akhmedov, Jerry L. Hatfield, P.C. Doraiswamy, John H. Prueger

Publikováno v: Remote Sensing of Environment. 92:548-559

Monitoring crop condition and yields at regional scales using imagery from operational satellites remains a challenge because of the problem in scaling local yield simulations to the regional scales. NOAA AVHRR satellite imagery has been traditionall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e50f8cf7049178d9ebc71fbd7309a2e0
https://doi.org/10.1016/j.rse.2004.05.017

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Crop Yield Assessment from Remote Sensing

Autor: Paul W. Cook, P.C. Doraiswamy, Sophie Moulin, Alan J. Stern

Publikováno v: Photogrammetric Engineering and Remote Sensing 6 (69), 665-674. (2003)
Photogrammetric engineering and remote sensing
Photogrammetric engineering and remote sensing, Asprs American Society for Photogrammetry and, 2003, 69 (6), pp.665-674

Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of the U.S. Department of Agriculture conducts field int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e207fc7b36054499ceef940d7e6cc4e
https://doi.org/10.14358/pers.69.6.665

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