Zobrazeno 1 - 10 of 53 pro vyhledávání: '"J Dempewolf"'
1
Akademický článek
National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation
Autor: P V Potapov, J Dempewolf, Y Talero, M C Hansen, S V Stehman, C Vargas, E J Rojas, D Castillo, E Mendoza, A Calderón, R Giudice, N Malaga, B R Zutta
Publikováno v: Environmental Research Letters, Vol 9, Iss 12, p 124012 (2014)
Transparent, consistent, and accurate national forest monitoring is required for successful implementation of reducing emissions from deforestation and forest degradation (REDD+) programs. Collecting baseline information on forest extent and rates of
Externí odkaz: https://doaj.org/article/afc3e16057cf489bb167a91a2d42e998
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2
Akademický článek
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3
Akademický článek
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4
Unmanned aerial vehicle-based remote sensing in monitoring smallholder, heterogeneous crop fields in Tanzania
Autor: Isack B. Yonah, J. Dempewolf, Sixbert K. Mourice, Boniface Mbilinyi, Siza D. Tumbo
Publikováno v: International Journal of Remote Sensing. 39:5453-5471
Obtaining information to characterize smallholder farm fields remains elusive and has undermined efforts to determine crop conditions for food security monitoring. We hypothesize that unmanned aeri...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9cd8e9f964a361e0177684d912d1f172
https://doi.org/10.1080/01431161.2018.1455241
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5
Agricultural land use change in Karamoja Region, Uganda
Autor: J. Dempewolf, Christopher O. Justice, Catherine Nakalembe
Publikováno v: Land Use Policy. 62:2-12
We examine dramatic cropland expansion in Karamoja, Uganda by investigating the links between biophysical and political historical events leading to the current state of agricultural land use. Our objective was to quantify agricultural expansion, unc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b8b0932696c1198d1963908f6595e7c
https://doi.org/10.1016/j.landusepol.2016.11.029
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6
Monitoring Postoperative Opioid Use Following Simple Arthroscopic Meniscectomy: A Performance-Improvement Strategy for Prescribing Recommendations and Community Safety
Autor: C. A. Prietto, Michael J. Dempewolf, Vance O. Gardner, Robert C. Grumet, Benjamin D. Rubin, Michael F. Shepard, Camille Bray, David Gazzaniga
Publikováno v: JBJS Open Access
Background Orthopaedic surgeons are confronted with a difficult dilemma: managing acute pain postoperatively and balancing the risk of prescription opioid use. To our knowledge, a prospective performance-improvement project providing opioid-prescript
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba258e18a50290fb62ecf7ae3f214780
https://pubmed.ncbi.nlm.nih.gov/30882058
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7
Does prolonged illness contribute to adaptive land use practices among subsistence agricultural households in rural Mozambique?
Autor: Julie A. Silva, J. Dempewolf, Zan M. Dodson
Publikováno v: Applied Geography. 67:109-118
The environmental effects of disease are broadly recognized but still not fully understood. The impact of health on economic development has been well-documented, as have how changes in land cover can contribute to poor health. However, little is kno
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa59f1ae03d1f8be8fedb153a58b3d40
https://doi.org/10.1016/j.apgeog.2015.12.007
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9
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania
Autor: Linda See, J. Dempewolf, Steffen Fritz, Juan Carlos Laso Bayas, Catherine Nakalembe, C. Justice, Christoph Perger
Publikováno v: Remote Sensing, Vol 9, Iss 8, p 815 (2017)
Remote Sensing; Volume 9; Issue 8; Pages: 815
Remote Sensing
There is a need to validate existing global cropland maps since they are used for different purposes including agricultural monitoring and assessment. In this paper we validate three recent global products (ESA-CCI, GlobeLand30, FROM-GC) and one regi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d26ada1c10c1a8a3fdab8d27bd776bc
https://www.mdpi.com/2072-4292/9/8/815
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10
Forecasting wheat yield from weather data and modis ndvi using random forests for punjab province, Pakistan
Autor: Umer Saeed, J. Dempewolf, Ashfaq Ahmad, Ahmad Khan, Inbal Becker-Reshef, Syed Aftab Wajid
Publikováno v: International Journal of Remote Sensing
International Journal of Remote Sensing, 2017, ⟨10.1080/01431161.2017.1323282⟩
Wheat is the staple food of Punjab province of Pakistan, which contributes more than 75% of the total national production. Accurate and timely forecasting of wheat yield is a cornerstone for monitoring food security and planning for agricultural mark
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee9ccfa08416719d672732fcad91c53
https://hal.science/hal-03594852
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