Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Daniel E. Osgood"'
Autor:
Mitchell Thomas, Elizabeth Tellman, Daniel E. Osgood, Ben DeVries, Akm Saiful Islam, Michael S. Steckler, Maxwell Goodman, Maruf Billah
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2589-2604 (2023)
Remotely sensed data have the potential to monitor natural hazards and their consequences on socioeconomic systems. However, in much of the world, inadequate validation data of disaster damage make reliable use of satellite data difficult. We attempt
Externí odkaz:
https://doaj.org/article/eb038b67b48b4831b24ed89e432fa83e
Publikováno v:
Agriculture, Vol 12, Iss 9, p 1352 (2022)
Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in the developme
Externí odkaz:
https://doaj.org/article/e369c34aa7984d88a1141efadf8da056
Autor:
S. Lucille Blakeley, Stuart Sweeney, Gregory Husak, Laura Harrison, Chris Funk, Pete Peterson, Daniel E. Osgood
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2432 (2020)
West Africa represents a wide gradient of climates, extending from tropical conditions along the Guinea Coast to the dry deserts of the south Sahara, and it has some of the lowest income, most vulnerable populations on the planet, which increases cat
Externí odkaz:
https://doaj.org/article/36fef06dd03249debc6eba2796d77d1e
Publikováno v:
Journal of Agricultural and Resource Economics, Vol 36, Iss 2, Pp 395-415 (2011)
It is important to understand tradeoffs in preferences for natural and constructed green space in semi-arid urban areas because these lands compete for scarce water resources. We perform a hedonic study using high resolution, remotely-sensed vegetati
Externí odkaz:
https://doaj.org/article/22d2203ce4004d3ab7bfc3301efd9488
Publikováno v:
California Agriculture, Vol 54, Iss 3, Pp 21-25 (2000)
The California Irrigation Management Information System (CIMIS), developed and operated by the California Department of Water Resources, was assessed using a UC Cooperative Extension survey and the CIMIS user database. We found that the benefits of
Externí odkaz:
https://doaj.org/article/e017f2c20739403e9fb93ce948d93438
Publikováno v:
Artificial Intelligence in Agriculture, Vol 5, Iss, Pp 208-222 (2021)
Though studies showed the potential of high-resolution optical sensors for crop yield prediction, several factors have limited their wider application. The main factors are obstruction of cloud, identification of phenology, demand for high computing
Autor:
Mark Svoboda, Martha C. Anderson, Wouter Dorigo, Juergen Vogt, Daniel E. Osgood, Christopher Hain, Chris Funk, Patrick Vinck, Kathryn Vasilaky, Debarati Guha-Sapir, Jessica L. McCarty, A. Reid Bell, Molly E. Brown, Markus Enenkel, Rogerio Bonifacio
Publikováno v:
Climatic Change
Climatic Change, Vol. 162, no. 00, p. 1161-1176 (2020)
Climatic Change, Vol. 162, no. 00, p. 1161-1176 (2020)
Virtually all climate monitoring and forecasting efforts concentrate on hazards rather than on impacts, while the latter are a priority for planning emergency activities and for the evaluation of mitigation strategies. Effective disaster risk managem
Publikováno v:
Meteorological Applications. 26:632-641
Publikováno v:
The Journal of Development Studies. 56:361-383
There is increasing concern that voluntary index insurance may fail to produce sustainable impacts at scale. Despite this concern, most research is focused on experimental or highly subsidi...
Exploiting the Convergence of Evidence in Satellite Data for Advanced Weather Index Insurance Design
Autor:
Martha C. Anderson, Margaret Wooten, Mark L. Carroll, Molly E. Brown, Greg Husak, Bristol Powell, Daniel E. Osgood, Markus Enenkel, Christopher S.R. Neigh, Christopher Hain, Jessica L. McCarty
Publikováno v:
Weather, Climate, and Society. 11:65-93
The goal of drought-related weather index insurance (WII) is to protect smallholder farmers against the risk of weather shocks and to increase their agricultural productivity. Estimates of precipitation and vegetation greenness are the two dominant s