D
David Saah
Researcher at University of San Francisco
Publications - 66
Citations - 1993
David Saah is an academic researcher from University of San Francisco. The author has contributed to research in topics: Land cover & Internally displaced person. The author has an hindex of 21, co-authored 64 publications receiving 1399 citations. Previous affiliations of David Saah include Northampton Community College & Florida State University College of Arts and Sciences.
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Journal ArticleDOI
Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates
Dengsheng Lu,Qi Chen,Guangxing Wang,Emilio F. Moran,Mateus Batistella,Maozhen Zhang,Gaia Vaglio Laurin,David Saah +7 more
TL;DR: Li et al. as mentioned in this paper provided a brief overview of current forest biomass estimation methods using both Landsat Thematic mapper (TM) image and LiDAR data, and demonstrated that Landsat TM data can provide adequate biomass estimates for secondary succession but are not suitable for mature forest biomass estimates due to data saturation problems.
Journal Article
The Effect of Refugee Inflows on Host Communities
Jennifer Alix-Garcia,David Saah +1 more
TL;DR: Despite the large and growing number of humanitarian emergencies, there is little economic research on the impact of refugees and internally displaced people on the communities that receive them as mentioned in this paper, which is a concern.
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The Effect of Refugee Inflows on Host Communities: Evidence from Tanzania
Jennifer Alix-Garcia,David Saah +1 more
TL;DR: In this paper, the impact of the refugee inflows from Burundi and Rwanda in 1993 and 1994 on host populations in western Tanzania was analyzed, showing that the prices of non-paid food items and more modest price effects for aid-related food items were increased.
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Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass
TL;DR: In this paper, the authors used mixed-effects modeling to integrate airborne lidar data and vegetation types derived from aerial photographs for biomass mapping over a forest site in the Sierra Nevada mountain range in California, USA.
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So you want your research to be relevant? Building the bridge between ecosystem services research and practice
Lydia Olander,Stephen Polasky,James S. Kagan,Robert J. Johnston,Lisa Wainger,David Saah,Lynn A. Maguire,James Boyd,David Yoskowitz +8 more
TL;DR: In this article, the authors provide illustrative examples of the gaps between research and practice and describe how researchers can make their work relevant to decision makers by using Benefit Relevant Indicators (BRIs) and choosing models appropriate for particular decision contexts.