Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Appiah Mensah A"'
Autor:
Johannes Larson, Carl Vigren, Jörgen Wallerman, Anneli M. Ågren, Alex Appiah Mensah, Hjalmar Laudon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Forest growth varies across landscapes due to the intricate relationships between various environmental drivers and forest management. In this study, we analysed the variation of tree growth potential across a landscape scale and its relatio
Externí odkaz:
https://doaj.org/article/8cd4bd3422c54a4686f5230089afbbac
Autor:
Hans Petersson, David Ellison, Alex Appiah Mensah, Göran Berndes, Gustaf Egnell, Mattias Lundblad, Tomas Lundmark, Anders Lundström, Johan Stendahl, Per‐Erik Wikberg
Publikováno v:
GCB Bioenergy, Vol 14, Iss 7, Pp 793-813 (2022)
Abstract We analyse the short‐ and long‐term consequences for atmospheric greenhouse gas (GHG) concentrations of forest management strategies and forest product uses in Sweden by comparing the modelled consequences of forest resource use vs. incr
Externí odkaz:
https://doaj.org/article/4ff74d7da98f4552a2c71431ebdb84fb
Akademický článek
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Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 3, Pp 825-833 (2021)
Estimation and mapping of surface water quality are vital for the planning and sustainable management of inland reservoirs. The study aimed at retrieving and mapping water quality parameters (WQPs) of Owabi Dam reservoir from Sentinel-2 (S2) and Land
Externí odkaz:
https://doaj.org/article/32b21107b2e94414b6cd814005cfd2cf
Autor:
Svetlana Saarela, André Wästlund, Emma Holmström, Alex Appiah Mensah, Sören Holm, Mats Nilsson, Jonas Fridman, Göran Ståhl
Publikováno v:
Forest Ecosystems, Vol 7, Iss 1, Pp 1-17 (2020)
Abstract Background The increasing availability of remotely sensed data has recently challenged the traditional way of performing forest inventories, and induced an interest in model-based inference. Like traditional design-based inference, model-bas
Externí odkaz:
https://doaj.org/article/1c3b22eac53d46fa8235be27311815da
Publikováno v:
In The Egyptian Journal of Remote Sensing and Space Sciences August 2019 22(2):145-154
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 22, Iss 2, Pp 145-154 (2019)
Changing conditions owing to increasing forest fragmentation make land cover and change detection analysis an extremely important consideration for sustainable forest management. This study applied supervised classification using maximum-likelihood a
Externí odkaz:
https://doaj.org/article/3750c71d652842c48381b1bc9c61fff0
Autor:
Mensah, Alex Appiah, Appiah Mensah, Alex, Petersson, Hans, Dahlgren, Jonas, Elfving, Bjorn, Elfving, Björn
Changes over time in annual basal area growth and mean height for Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) over the period, 1983-2020 were studied using sample tree data from temporary plots recorded in the Swedish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1094::f2b58239692e575c8a6c0a6a6ae751ee
https://pub.epsilon.slu.se/31320/
https://pub.epsilon.slu.se/31320/
Autor:
David Ellison, Hans Petersson, Jonas Fridman, Kari T. Korhonen, Helena Hentonnen, Alex Appiah Mensah, Jörgen Wallerman
Reversing the European trend toward a declining land carbon sink has become the new mantra. The decision to increase net carbon uptake in the forest, however, is made without adequately considering the consequences for the circular bioeconomy and cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9d2ccf672193d1a8fc901d5bfafa39
https://doi.org/10.5194/egusphere-egu22-8950
https://doi.org/10.5194/egusphere-egu22-8950
Information on forest site productivity is a key component to assess the carbon sequestration potential of boreal forests. While site index (SI) is commonly used to indicate forest site productivity, expressions of SI in the form of yield capacity (p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d997cbef616efe7b7c630dff483abf
https://pub.epsilon.slu.se/27653/
https://pub.epsilon.slu.se/27653/